Electric Power

Research on New Type Energy Storage Policies of Overseas Countries and Inspirations to Energy Storage Development in China

LI Jingru, WAN Zhiwei, SONG Yi, SUN Chongbo, JIN Qiang

2022, 55(11): 1-9. DOI: 10.11930/j.issn.1004-9649.202208061

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In recent years, the United States, the United Kingdom, and Australia have introduced a number of policies to motivate the process of low-carbon energy transformation, which has effectively promoted the development of energy storage. These policies are of certain reference significance to the large-scale development of the energy storage industry in China. This study thoroughly collects and analyzes the energy storage policies of the three countries. The United States and Australia adopt relevant policies regarding financial support, improvement in market mechanisms, and clarification of development goals, while the United Kingdom establishes a developed electricity market to provide an appropriate environment for the development of energy storage. Upon the comparison with policies adopted by China, inspirations and suggestions are proposed on the basis of the energy storage development in China’s new power system.

Flexible Energy Supply Network Planning for Offshore Islands Considering Participation of Electric Vessels

LI Feiyu, SUI Quan, LIN Xiangning, LI Zhengtian, WEI Fanrong

2022, 55(11): 10-20. DOI: 10.11930/j.issn.1004-9649.202204052

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Energy supply is a prerequisite for offshore island development. Purely independent micro-grid energy supply methods often face certain reliability problems, and the high construction and maintenance costs of submarine cables limit the development and utilization of offshore islands to a large extent. Therefore, this paper proposes a flexible energy supply network planning strategy for offshore islands considering the participation of electric vessels (EVs). Firstly, for the relative locations of typical offshore inhabited islands and resource islands as well as their renewable-energy output characteristics, a flexible energy supply network architecture is proposed, which includes EV energy links to connect inhabited islands, resource islands, and grid parallel points, so as to make full use of the renewable resources on uninhabited islands and the stable support capacity of the large grid. On this basis, a network planning model for hybrid continuous-intermittent energy flow is developed with the objective function of maximizing the grid revenue of the islands during the planning period. In addition, a two-stage solution algorithm is put forward, where the first stage estimates the number of EVs, and the second stage determines the optimal solution to the planning model. The simulations demonstrate the superiority of the proposed planning scheme. This paper provides a new way of thinking for the power supply to offshore island loads and the exploitation of renewable energy.

Differentiated Energy Storage Planning Method of Provincial Power Grids Based on Multi-partition Time Series Production Simulation

DAI Qian, ZHANG Jian, WU Junling, ZHANG Libo, QIN Xiaohui, ZHANG Yantao, NIU Yanqin

2022, 55(11): 21-28. DOI: 10.11930/j.issn.1004-9649.202205109

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With the construction of a new power system, the large-scale development of renewable energy will lead to a seriously insufficient utilization rate of renewable energy and balance problems of power and electricity, which can be significantly alleviated by configuring a suitable energy storage system (ESS). In this paper, an ESS planning method considering the difference of multi-partition assessment objectives for provincial power grids is studied based on a self-developed time series production simulation software that contains power system structure and tie-line transaction constraints. Firstly, the algorithm framework of the time series production simulation software is introduced. Then according to this software, an optimal configuration method for energy storage capacity is proposed, with the minimum investment cost of energy storage as the objective function, after considering the differences in assessment objectives and tie-line transaction constraints of each partition. Finally, calculation and sensitivity analysis are performed on a planned provincial power grid integrated with renewable energy with a high proportion in northwest China, which verifies the rationality and utility of the proposed method.

A Fast Static Voltage Stability Contingency Screening and Ranking Method Considering Source-Load Power Fluctuation

WU Yaning, LUO Yi, ZHOU Shengcun, TANG Muyi, YI Xuancheng

2022, 55(11): 29-40. DOI: 10.11930/j.issn.1004-9649.202206134

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In order to effectively analyze the influence of equipment failure on voltage stability under the random fluctuation of new energy power generation and load, a fast static voltage stability contingency screening and ranking method considering source-load power fluctuation is proposed based on the local voltage stability index (L index). Firstly, the linearized calculation formula of L index under the change of system network topology and node injection power is given based on the related total differential equation deduced; secondly, the reference operation mode is selected for power flow calculation to obtain the initial value, and a linearized method with correction is proposed to calculate the L index under each expected accident to obtain the serious fault set; and then, based on the deviation of the renewable energy and load power curve value from the benchmark operating point, the L index in the serious fault set is calculated and the time-series ranking is performed; finally, the ultimate contingency ranking is obtained by comprehensively comparing the time-series analysis results. Case studies have verified the feasibility and effectiveness of the proposed method. Compared with the existing methods, its calculation efficiency can be significantly improved under the premise of ensured accuracy of fault sorting results, which can provide a reference for static voltage stability contingency screening and ranking in power system with renewable energy.

A Novel Protection Scheme of AC and DC Line-Touching Based on Coordination of AC and DC Protection

TANG Wei, YU Su, ZHENG Tao, YU Huanchang, NI Yuxiang, MENG Lingkun

2022, 55(11): 41-50. DOI: 10.11930/j.issn.1004-9649.202206128

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The AC/DC hybrid grid is developing rapidly, and the AC-DC line-touching fault has become an unique fault type. By taking different types of AC and DC line touching faults as the research object, and focusing on the whole process from fault isolation to line reclosing/restarting, the paper explores the deficiencies and risks of existing AC and DC systems in relevant protection outlet action logic, and proposes a new idea for designing and adding a AC-DC line-touching protection scheme on the AC side. By constructing a protection algorithm that can reflect the phase angle characteristics of the DC system equivalent impedance, the AC-DC line touching fault identification is realized. Through optimizing the action sequence and logical coordination relationship between the newly added AC-DC line-touching protection on the AC side and the AC-DC line-touching protection placed on the DC side, the adaptive restart of the DC system is realized under the AC-DC line-touching fault, which avoids the risk of power frequency overvoltage at the head and end terminals of the DC line under the scenario of AC side permanent fault. A simulation model of AC-DC line-touching fault is built in the PSCAD/EMTDC platform, and a large number of simulation experiments are carried out. The simulation results verify the feasibility of the proposed new AC-DC line-touching protection scheme.

Experimental Study on Capacitive Current Transfer Arc Suppression of Tree-line Discharge Fault in Distribution Network

ZHAO Fuping, FAN Songhai, JI Yiwei, NING Xin, SHANG Hao, NING Wenjun, ZHAO Lihua, ZENG Dehua

2022, 55(11): 51-58. DOI: 10.11930/j.issn.1004-9649.202207017

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The tree-line discharge faults of mountainous distribution networks may induce forest fires, so it is indispensable to study the low-cost and easy-to-control arc suppression measures for tree-line discharge faults in distribution networks. Based on a 10 kV distribution line experimental platform, the paper conducted an experimental study on the capacitive current transfer arc suppression for tree-line discharge faults in distribution networks. The experiments show that when the capacitive current transfer switch is closed, the arc or bright spot at the fault point disappears and the smoke dissipates, and the fault point current is reduced from several hundreds mA to about 20 mA, indicating that the method has a good arc suppression effect. The capacitive current transfer time is close to the intrinsic action time delay of the grounding transferring switch. Furthermore, different capacitive current and tree resistance are set to achieve effective arc suppression, and the transfer time is not significantly related to either tree resistance or capacitive current, demonstrating the universality of the capacitive current transfer arc suppression method.

A Multi-criteria Fusion Decision-Making Method for Power Grid Planning Investment Based on Improved ELECTRE Method

CHENG Zhiyu, ZHU Xiaohu, LI Jianqing

2022, 55(11): 59-65. DOI: 10.11930/j.issn.1004-9649.202201086

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The investment decision-making of power grid planning not only needs considering the project benefits, but also needs considering the regional investment environment and enterprise management levels. In order to realize the effective unification of subjective experience and objective data, qualitative and quantitative indicators, project and environment, a multi-criteria fusion decision-making method for power grid planning investment based on improved ELECTRE method is proposed. Firstly, the concept of multi-criteria fusion decision-making of benefit, efficiency and effectiveness is proposed. Secondly, a power grid planning investment decision-making index system is established. Then, the filing assignment method and preference strategy are used to improve the ELECTRE method, and a power grid planning investment decision-making model is proposed based on the improved ELECTRE method, and the decision-making process for power grid planning investment is proposed. Finally, the feasibility of the proposed method is verified through case analysis. The research results show that the proposed method improves the benefit, efficiency and effectiveness of investment, which can provide a reference for relevant departments to make decisions for power grid planning investment.

Virtual Synchronization Control Strategy for UHVDC with Secondary Frequency Modulation Based on PI Control

GUO Xiaolong, ZHANG Jiangfei, KANG Pengpeng, YANG Guixing, SUN Yiqian, YUAN Tiejiang, LIU Yong

2022, 55(11): 66-72. DOI: 10.11930/j.issn.1004-9649.202105025

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Under traditional control strategy, UHVDC transmission system lacks inertia and damping characteristics, so it can't effectively adjust the frequency of AC system dynamically. In order to solve this problem, a VSG (virtual synchronous generator)-based control strategy for UHVDC converter stations is proposed, in which two key parameters, including synchronous generator rotational inertia and damping coefficient, are retained. Meanwhile, the calculation method for frequency in virtual rotor is improved, and the PI controller-based secondary frequency regulation is added. Aiming at the situation of load mutation, a two-terminal VSG system model is built for simulation with Matlab/Simulink. The results show that the proposed control strategy has the characteristics of inertia and damping, which can reduce the amplitude, speed and overshoot of frequency fluctuation, suppress the voltage fluctuation of DC system, and realize isochronous control of frequency.

Wide-Band Harmonic Impedance Measurement Device for Wind Grid Based on Cascaded H-Bridge Converter

YU Yongjun, XU Liguo, LIN Zijie, SUN Binghan, LIU Qiujiang, WU Zhensheng, REN Zhijie

2022, 55(11): 73-83. DOI: 10.11930/j.issn.1004-9649.202111068

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In wind power generation, the coupling of the wind farm power pooling system with the grid may cause high frequency resonance problems and affect the power quality of the grid. It is therefore important to study the grid impedance frequency characteristics in depth. A wide-band harmonic impedance measurement device is proposed for wind grid based on the active intervention method, which injects a certain disturbance current into the common connection point. This solution uses a three-phase cascaded H-bridge converter as the harmonic generation and a stratified control strategy for the control part. The harmonic currents of different frequencies are injected into the 35 kV bus of the wind farm in the range of 100~5000 Hz, and the input impedance of the 35 kV port of the wind farm is obtained by measuring the voltage and current at the injection point. The proposed measurement device does not require rectification and is able to emit positive and negative sequence harmonic currents with controllable amplitude and frequency. The device can obtain accurate positive sequence and negative sequence harmonic impedance with the advantages of small size, simple structure and reliable control strategy. Finally, detailed Matlab simulations have verified the effectiveness of the system topology and control strategy.

Power Quality Coupling Assessment Based on Data-Driven under Multiple Pollution Patterns

ZHANG Jian, YU Hao, LIANG Jianquan, WANG Yue, LIU Heqian

2022, 55(11): 84-90. DOI: 10.11930/j.issn.1004-9649.202102087

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In order to quantify the influence of disturbance among nodes under different power quality variation laws, a power quality coupling assessment method is proposed based on data-driven under multiple pollution patterns. Firstly, the periodic and random variation patterns are constructed for all disturbances by using frequency-domain decomposition. According to the disturbance variation trend and severity, the disturbance pattern features are extracted through piecewise linear fitting based on local extreme points. And then, a pattern distance measurement method is developed to implement pattern matching on the pattern features and to analyze the coupling of disturbance time series among nodes under different pollution patterns, thereby determining the interplay of disturbance among nodes. Finally case simulation analyses are conducted on the IEEE 14-bus system, and the accuracy and efficiency of the proposed method are verified by comparing the conventional time series pattern matching methods.

Multi Dimensional Portrait Method of Industrial Users’ Comprehensive Energy Consumption Index System Under the Background of Carbon Neutrality

SHEN Yan, LI Dongdong, LIN Shunfu

2022, 55(11): 91-96. DOI: 10.11930/j.issn.1004-9649.202110024

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As an important subject of energy consumption and carbon dioxide emissions, it is of great importance to portray the comprehensive energy efficiency of industrial users reasonably. Meanwhile, they are the key targets for the realization of the “dual carbon goal”. For this purpose, we establish a multidimensional portrait of industrial users based on the comprehensive energy use index system. Firstly, we construct a corresponding evaluation system from five dimensions: reliable energy use, efficient energy use, economic energy use, low-carbon energy use and intelligent energy use and formed a comprehensive evaluation index system with target layer, criterion layer and index layer. Secondly, we obtain index weights and calculate the integrated energy use index based on hierarchical analysis to form a multidimensional energy use portrait of industrial users. Finally, by selecting four industrial users from different industries as examples, the effectiveness of the proposed method is verified.

A Voltage Control Method Considering the Collaborative Optimization of Multiple Reactive Power Compensation Devices

LIU Haitao, CHEN Biao, ZHU Lin, LU Xiang, QI Shenglong, ZOU Hongbo

2022, 55(11): 97-102. DOI: 10.11930/j.issn.1004-9649.202107054

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In order to deal with the steady-state and transient voltage fluctuation caused by power system disturbance, taking static var compensator (SVC), capacitor bank (CB), on load tap changer (OLTC) and synchronous condenser (SC) as comprehensive reactive power compensation devices, a voltage control method considering the collaborative optimization of multiple reactive power compensation devices is proposed. Firstly, the multi-objective voltage control model is established, and then the multi-objective weight coefficient calculation method is introduced to solve the model based on water cycle algorithm (WCA). The effectiveness of the proposed method is verified by a simulation example.

Research on Location Optimization of Energy Router Cluster Access to Radial Distribution Network

WU Qiang, DUAN Xiaofeng, LUO Gang, ZHANG Lizong, JIANG Wei, YAN Yang

2022, 55(11): 103-108. DOI: 10.11930/j.issn.1004-9649.202111060

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Reasonable planning of energy router access position in the distribution network, can improve the security, economy and reliability of power system. Based on the structure and operation characteristics of radial distribution network, this paper analyzes and decouples the relationship between node voltage and load power, constructs an evaluation index of voltage improvement degree based on voltage sensitivity, and proposes an optimization method of energy router cluster location in distribution network, which realizes balanced optimization of energy router cluster access in distribution network, and provides reference for distribution network with new source load access.

Robust Stochastic Optimization Model of Park Integrated Energy System Considering Impact of Energy Policy

LI Peng, YANG Shenbo, WEI Chengzhou, ZHANG Yihan, TIAN Chunzheng, WANG Shiqian, XUE Fan, TAN Zhongfu

2022, 55(11): 109-120. DOI: 10.11930/j.issn.1004-9649.202102068

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The park integrated energy system is a system coupled with multiple clean energies such as cooling, heating, electricity and gas, and it is one of the important ways to achieve China’s carbon neutral strategy. However, due to the uncertainty of the output of internal clean energy units and the mismatch of internal supply and demand, the sustainable development of the park integrated energy system is restricted. Therefore, this paper firstly builds a comprehensive price-based demand response model and an energy policy model based on the construction of a park integrated energy system, and analyzes their impact on the system. Secondly, from the energy supply side, the uncertainty set of clean energy output is constructed based on robust coefficient to avoid output risk; and from the demand side, a comprehensive price demand response model is built to guide the rationality of energy use; On this basis, an optimization model is built with maximizing the net income of the park integrated energy system as the objective function. Finally, multiple scenarios are set up for case study. The results show that with the improvement of the robust coefficient, the risk of energy supply and the cost of deviation penalty can be reduced; the implementation of integrated demand response can improve the matching degree of supply and demand, bring better economic and environmental benefits, and achieve a win-win situation for users and the system; with the help of energy policies, on the basis of a reasonable assessment of the risk of clean energy output, it is necessary to further increase the supply of clean energy.

Interval Optimal Dispatching of Community Integrated Energy System Considering Multiple Uncertainties

GUO Zuogang, XU Min, YU Hao, LEI Jinyong, JI Haoran, LI Peng

2022, 55(11): 121-128,141. DOI: 10.11930/j.issn.1004-9649.202107253

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Under electricity market environment, the fluctuation of electricity prices needs to be considered in formulating next day's dispatching plan for community integrated energy system (CIES). At the same time, the uncertain output of distributed generators such as wind turbine and photovoltaic power generation brings significant challenges to the economic operation of CIES. Therefore, an interval optimal scheduling method of CIES considering multiple uncertainties is proposed. Firstly, the interval theory is used to model the uncertainties of electricity price and output of distributed generators. Then, taking the lowest daily operation and maintenance cost as objective function, and considering the operation constraints of the CIES, a day-ahead optimal dispatching model of CIES considering uncertainties is established. Finally, the interval linear programming method is used to solve the model. The results have verified the effectiveness of the proposed model and method.

Dispatching Strategy for Integrated Electric and Heating Energy System Including Renewable Energy and CAES Power Station

HU Funian, XU Weicheng, CHEN Jun

2022, 55(11): 129-141. DOI: 10.11930/j.issn.1004-9649.202104022

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Considering the insufficient energy utilization problem caused by the random connection of electric vehicle (EV) loads to the power system with high penetration rate of renewable energy, and the increasing uncertainties of the entire integrated energy system resulting from the interconnection of the electric and heating networks. A dispatching strategy is proposed for the electric and heating integrated energy system including renewable energy and CAES (compressed air energy storage) power stations. According to the power load demand, two dispatching modes are divided. At the energy end and energy storage end, the CAES and S-CAES (solar and compressed air energy storage) are used to enhance the coupling between the power grid and the heating network to achieve the efficient conversion and utilization of different energy sources. At the load end, the EV load is divided into orderly and disorder EV loads according to their controllabilities, and different operating functions are given to the S-CAES according to different modes and different optimal dispatching models are provided. Finally, the Matlab is used to perform simulation analysis under different load modes, The simulation results have verified the effectiveness and superiority of the proposed strategy in increasing renewable energy consumption and reducing overall costs.

Load Forecasting Based on Multiple Load Features and TCN-GRU Neural Network

ZHENG Haofeng, YANG Guohua, KANG Wenjun, LIU Zhiyuan, LIU Shitao, WU Hong, ZHANG Honghao

2022, 55(11): 142-148. DOI: 10.11930/j.issn.1004-9649.202012107

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Traditional load forecasting does not deeply consider the impact of load sequence on model forecasting accuracy. To improve the prediction accuracy, a multi-load feature combination (MLFC) is proposed, and a load prediction framework is constructed by combining Temporal Convolutional Network (TCN) and Gated Recurrent Unit (GRU). Firstly, the load change rate feature and the load component feature based on the ensemble empirical mode decomposition are introduced, and the feature combination MLFC is formed with the load and date features; Second, select TCN and GRU for feature extraction and prediction, and build an MLFC-TCN-GRU prediction framework based on MLFC; Finally, using different models to verify the proposed method, the results show that MLFC helps to improve the prediction accuracy and is suitable for different models; at the same time, MLFC-TCN-GRU has the highest prediction accuracy compared with other models.

Research on Distributed Photovoltaic Short-Term Power Prediction Method Based on Weather Fusion and LSTM-Net

LI Fengjun, WANG Lei, ZHAO Jian, ZHANG Jianbin, ZHANG Shiyao, TIAN Yangyang

2022, 55(11): 149-154. DOI: 10.11930/j.issn.1004-9649.202104057

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The high-precision prediction of distributed photovoltaic power generation is of great significance to the safe and stable operation of the distribution network. In this paper, based on weather information and depth learning method, a short-term power prediction method for distributed photovoltaic power generation equipment is proposed. First, classify and fuse the weather to achieve full coverage of the training set. Then, build a distributed photovoltaic short-term power prediction model based on the long short-term memory (LSTM) deep learning network. Finally, realize distributed photovoltaic power prediction.

Short-Term Load Forecasting Based on Multi-branch Residual Gated Convolution Neural Network

FAN Jiangchuan, YU Haozheng, LIU Huiting, YANG Lijun, AN Jiakun

2022, 55(11): 155-162,174. DOI: 10.11930/j.issn.1004-9649.202112004

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Short-term load forecasting is one of the important tasks for power utilities to formulate grid planning and scheduling plans. Considering the temporal characteristics of the load data, in order to improve the prediction accuracy of power load, a short-term load forecasting model is established based on multi-branch residual gated convolution neural network (RGCNN). Firstly, the multi-branch residual gated convolution neural network is used to extract the weekly cycle, daily cycle and the nearest neighbor cycle of the historical load data. Secondly, the attention mechanism is used to distribute the weight reasonably to increase the nonlinear fitting ability of the model. Finally, the load forecasting result is output after normalized exponential function calculation. Experiments are carried out with the data of a power competition in 2016. Compared with the four typical forecasting models, the proposed model provides the prediction result with the MAPE evaluation indicator decreased by 0.02%-0.70%, which verifies the effectiveness of the proposed model in improving the forecasting accuracy.

Day-Ahead Coordinated Low Carbon Robust Scheduling of Hydro-Electricity-Natural Gas System Considering Power-to-Gas to Accommodate Excessive Hydro Generation

XU Hongyuan, LONG Taicong, ZHAO Qidao, LI Pai, NAN Lu, ZHANG Qi, CHEN Yuhang, TAN Jing

2022, 55(11): 163-174. DOI: 10.11930/j.issn.1004-9649.202204086

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Aiming at the surplus water problem caused by insufficient regulation capacity of power system and uncertainty on the load side, a multi-energy coordinated low-carbon robust scheduling model of hydro-electricity-natural gas system was proposed and solved in this paper. The nonlinear constraint in the proposed model is transformed into a mixed-integer linear model based on piecewise linearization method and Taylor series expansion method. For the uncertain parameters in the model, the column and constraint generation method are used to further transform it into a master-subproblem framework, consequently solved by GUROBI solver. Numerical results of an improved 6-bus electricity/7-node gas system show that the proposed model can make full use of the complementary characteristics of different energy systems to improve the regulation capacity of the power system and promote the consumption of hydro power, as well as reduce the operation cost and achieve low-carbon operation of power system.

Available Capacity Evaluation Method of Electric Vehicle Charging Stations Based on Multi-parametric Programming

CAI Haiqing, DAI Wei, ZHAO Jingyi, WANG Cheng, ZHANG Zhijie, LI Shuyong

2022, 55(11): 175-183. DOI: 10.11930/j.issn.1004-9649.202206091

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To precisely evaluate the bearing capacity of distribution networks for electric vehicles (EVs) and thus ensure the secure operation of distribution networks, this paper proposes the definition of the available capacity (AC) of EV charging stations (EVCSs) and its evaluation method on the basis of the multi-parametric programming theory. The proposed method can efficiently and accurately visualize the AC boundaries of EVCSs with full consideration of the implicit coupling effects among multiple EVCSs and assists in the decision-making of distribution network scheduling. Firstly, according to the economic scheduling model of distribution networks and Karush-Kuhn-Tucker (KKT) conditions, the equivalent constraint sets of AC are formulated to represent the feasible space of AC and provide accurate boundary information for the scheduling. Next, the piecewise operational costs for different AC sub-space are derived to reflect the impact of charging power on the economic operation of distribution networks. Finally, simulations on the modified IEEE-33 bus system demonstrate the accuracy and effectiveness of the proposed evaluation model.

Multi-agent Low-Carbon and Economy Operation Strategy of Integrated Energy System Based on Bi-level Master-Slave Game

TIAN Fuyin, MA Jun, WANG Can, LI Xinran, WANG Aoqi, CHU Sihu, LING Kai, ZHANG Yu, GAN Youchun

2022, 55(11): 184-193. DOI: 10.11930/j.issn.1004-9649.202206090

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In order to solve the multi-agent conflict of interest in the integrated energy system (IES) and realize low-carbon operation at the same time, a multi-agent low-carbon economic operation strategy of the IES based on double-layer master-slave game was proposed. First, in order to reduce system carbon emissions, ladder carbon trading and comprehensive demand response are introduced to limit carbon emissions. Secondly, the basic framework of the IES with energy storage configured by the energy system operator (ESO) was designed to improve the regulation ability and income level of the ESO. Then, on the premise of fully considering the initiative and decision-making ability of various stakeholders, a multi-agent low-carbon economy operation interaction mechanism based on bi-level master-slave game was established. Among them, the upper level game takes the power producer as the leader and the ESO as the follower; The lower level game takes the ESO as the leader and the energy producer and load aggregator as the followers. Finally, the simulation results show that the proposed strategy can give full play to the active decision-making ability of each subject, promote the balance of interests of each subject, and realize the low-carbon and economic operation of the system.

Operational Status Analysis and Optimization Suggestions of Typical Dust Collectors in Coal-Fired Power Plants

SUN Zunqiang, ZHENG Chenghang, ZHOU Can, WANG Sheng, MA Xiuyuan, YE Yike

2022, 55(11): 194-201. DOI: 10.11930/j.issn.1004-9649.202205031

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In this study, 287 typical coal-fired unit dust removal facilities in 72 power plants are selected to investigate the operation status and issues of dust collectors, and corresponding suggestions are given on optimization and efficiency improvement for different types of dust collectors: For dry electrostatic precipitators (ESPs), energy saving and efficiency improvement can be achieved by adjusting electric field rapping frequency, voltage reduction rapping and power intelligent control optimization; For low-low temperature ESPs, multi-scale and multi-field coupling simulation test of the whole process can solve the problems of wear and ash deposition, and the guide components can be reasonably arranged; For bag filters, airflow distribution optimization and intelligent regulation can solve the problem of bag breakage and high energy consumption; For wet ESPs, optimization of the electrode configuration can enhance the operational stability and reduce the frequency of electric field flashover.

Research on the Activation Change of Plate-Type Anti-arsenic-poisoning SCR De-NO_x Catalyst in High-Arsenic Flue Gas

CHEN Chen, JIA Shuya, LIU Dingjia, JIA Haiwei, ZHANG Ying, QU Yanchao

2022, 55(11): 202-208. DOI: 10.11930/j.issn.1004-9649.202112007

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To research the activity change and the influence of flue gas for different parts catalysts in high-arsenic coal-fired power plant, fresh catalyst and one-year-used catalysts from different parts were selected for denitrification activity tests, and characterizations including X-ray fluorescence (XRF), N₂ adsorption/desorption, X-ray photoelectron spectroscopy (XPS), and particle size analysis were conducted. The results showed that under 350°C, the activity of the one-year-used catalysts (at least 77.12%) was lower than that of the fresh catalyst (94.52%), indicating that the plate-type catalyst showed good resistance to arsenic. A large amount of arsenic had been accumulated in the one-year-used catalysts, and the average arsenic content of the upper and lower catalysts had reached 10.47% and 9.28% respectively. Through characterization and analysis, it was found that the upper and lower catalysts were both physically and chemically poisoned by arsenic. The major deactivation factor for the upper catalysts was physical blockage, while the chemical deactivation was dominant for the catalysts in the lower layer.

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