Table of Content

05 December 2019, Volume 52 Issue 12

Previous Issue    Next Issue

Research on New Energy Economic Evaluation and Development Trend of New Energy Power Generation in Grid Parity Period

LOU Qihe, XIE Guohui, LI Nana

2019, 52(12):  1-9,104.  DOI: 10.11930/j.issn.1004-9649.201908106

Asbtract ( )   PDF (5255KB) ( )  

References | Related Articles | Metrics

Grid parity is an important measure to promote the high-quality development of new energy in China. This paper summarized and combed the current related policies of grid parity in recent years, analyzed the main influencing factors of new energy economics in grid parity period, established the evaluating model based on IRR methodology. Taking wind power, concentrated and distributed PV power in different resource areas as a case study, the economics of new energy in 2020 in grid parity was studied. On the basis, some key issues such as developing scale, distribution, operation dispatch and consumption, market completion, as well as the future developing trend of new energy in China were analyzed in grid parity.

Dynamic Risk Assessment System for Power System Based on Multi-source Information of the Ubiquitous Power Internet of Things

WANG Shenhua, HE Xiangwei, FANG Xiaofang, CHEN Bingsong, GUO Chuangxin

2019, 52(12):  10-19.  DOI: 10.11930/j.issn.1004-9649.201907062

Asbtract ( )   PDF (10601KB) ( )  

References | Related Articles | Metrics

In view of the current situation that it is difficult for the power regulation and control center to take the multi-source information into account for the effective dynamic risk assessment of power grid, this paper points out the challenges and opportunities faced by the power grid risk assessment under the background of the Ubiquitous Power Internet of Things. A power grid dynamic risk assessment architecture based on the Ubiquitous Power Internet of Things is proposed. Firstly, the concept of power grid dynamic risk assessment is introduced, and the process of power grid dynamic risk assessment system based on Internet of Things is established. Secondly, by taking advantage of the multi-source information provided by the Ubiquitous Power Internet of Things, the procedures to resolve the key issues are presented, such as dynamic perception of fault probability, dynamic selection of fault set, dynamic generation of post-fault state and dynamic risk assessment of operation process and so on. Finally, based on the architecture, the corresponding software system is designed. The data source, data platform and main function modules of the system are also described. The application of the system is illustrated with practical cases.

Research on Key Optimization Technologies for Transmission Network of Ubiquitous Power Internet of Things

CHEN Jialin, HE Yi, LI Lei, ZHOU Zheng, SUN Jun, ZHANG Jie

2019, 52(12):  20-26,38.  DOI: 10.11930/j.issn.1004-9649.201908103

Asbtract ( )   PDF (6026KB) ( )  

References | Related Articles | Metrics

As an important cornerstone of energy Inter-net construction, the construction of Ubiquitous Power Internet of Things is of great significance for improving the comprehensive performance of power grids and social efficiency as well as the promotion of the development of emerging services to meet users' needs. Regarding the new requirements under new circumstances, the optimization of the Ubiquitous Power Internet of things internal communication network architecture has become a key technical issue to be resolved immediately to accelerate the construction of the Ubiquitous Power Internet of Things and achieve the extensive interconnection of “energy data” . Taking the Ubiquitous Power Internet of Things transmission network as an example, this paper develops the optimization strategies from the perspectives of network topology and routing layer respectively. From the perspective of network topology, an edge-added optimization strategy based on node weight is proposed. From the routing level, with the business balance taken into account, an optimal routing strategy based on edge betweenness is proposed. By constructing network performance evaluation indicators, the optimization strategy and traditional strategy proposed in this paper are compared, from which it is verified that the optimization strategy can effectively improve the robustness of the network and expand the network capacity.

Application of Power Wireless Private Network in Ubiquitous Power Internet of Things

WANG Zhe, ZHAO Hongda, ZHU Mingxia, ZHOU Xia, XIE Xiangpeng, XIE Hongfu, ZANG Bipeng

2019, 52(12):  27-38.  DOI: 10.11930/j.issn.1004-9649.201910082

Asbtract ( )   PDF (4552KB) ( )  

References | Related Articles | Metrics

As the key technology to solve the so-called “last mile” problem of communication connection in the power grid, the power wireless private network is playing a pivotal role to achieve the interconnection of all things and human-computer interaction via the ubiquitous power IoT. Thus it will be also of great significance to understand the application of power wireless private network thoroughly and completely. Firstly, this paper introduces the basic concepts and characteristics of the ubiquitous power IoT and analyzes the communication requirements of the ubiquitous power IoT business. And then the architecture, technology and characteristics of the power wireless private network are studied. Secondly, three typical application scenarios of power wireless private network in the ubiquitous power IoT are analyzed in depth, i.e., categories of business in the aspects of control, data collection and mobile communication. Based on the application scenarios, the existing issues during the construction of power wireless private network are put forward, such as the communication interference, cyber security, business continuity and base station location selection. Furthermore, targeted solutions are proposed in combination with the actual construction status. Finally, the future direction of power wireless private network construction is provided under the ubiquitous power IoT environment. The topics concerning business targeting, business development needs, business scalability and business security are discussed and explored respectively.

Image Recognition of Icing Thickness of Transmission Line Based on Random Hough Transform

JIA Siqi, LI Jun Hui, DU Dongmei, LIU Bin, HE Qing

2019, 52(12):  39-45,53.  DOI: 10.11930/j.issn.1004-9649.201812055

Asbtract ( )   PDF (5613KB) ( )  

References | Related Articles | Metrics

In order to improve the calculation accuracy of the thickness of the transmission line, the method of calculating the thickness of the transmission line based on random Hough transform is proposed. Firstly, the image of the line is grayscaled to remove the hue and color saturation; then the Canny operator is used to denoise the image and remove the image background, preserving only the foreground of the image; then using random Hough transform and least squares method to determine the straight line at the edge of the line; finally, the thickness of the ice is calculated based on the pixels of the line image before and after the icing. The calculation results show that the calculation accuracy of this method is 14% higher than that based on traditional Hough transform, which can significantly improve the monitoring accuracy and level of ice thickness of transmission lines.

The Spare Analysis of Transformers Based on Reliability Criterion and Insulation Age Evaluation

XIANG Bo, JIANG Yunpeng, REN Zhouyang, LI Hui, HU Weinan, ZHANG Congyu

2019, 52(12):  46-53.  DOI: 10.11930/j.issn.1004-9649.201808130

Asbtract ( )   PDF (3392KB) ( )  

References | Related Articles | Metrics

In view of the fact that the traditional spare analysis methods for transformers does not take into account the actual aging failures of transformers, in this paper, based on reliability criterion and insulation age evaluation, a spare analysis method for transformers is proposed to reasonably determine the storage quantity and purchasing time of spare transformers. Firstly, the degree of polymerization (DP) of the insulation paper can be fitted using the measured condition monitoring data collected from the transformer oil, and the current and future insulation ages of the transformer can be then estimated. Secondly, the unavailability of equipment caused by aging failure is determined by predicting the insulation age. Then, combining the repairable failure, the total unavailability of equipment caused by aging failure is determined. Finally, according to the requirement of system reliability level, the spare parts strategy for transformer group is formulated by using reliability analysis theory. The measured data of a regional power grid consisting of 22 transformers of 220 kV in the south of China were used to test the effectiveness of the proposed method. According to the measured data of 22 transformers of 220 kV in a southern regional power grid, simulation analysis is carried out to verify the effectiveness of the proposed method.

Study on the Impact of UHV AC Composite Cross-arms on Live Working Safety

LEI Xinglie, PENG Yong, XIAO Bin, LIU Ting, LIU Kai, ZHANG Zhun

2019, 52(12):  54-61.  DOI: 10.11930/j.issn.1004-9649.201905099

Asbtract ( )   PDF (4150KB) ( )  

References | Related Articles | Metrics

The UHV AC composite cross-arm structure, quite different from the conventional towers, has a significant impact on the safety distance of live working, the mode of entering or exiting equipotential, and the electric field protection requirements of workers. This paper analyzes the influence of UHV AC composite cross-arm on the safety of live working through experiments and simulation calculations. As the simulation results show, the minimum approach distance and the minimum combined gap distance of live working on the UHV composite cross-arm line are 5.6 m and 6.0 m respectively, which are 0.3 m and 0.4 m higher than the conventional tower requirements. For the power line on the UHV AC composite cross-arm, we can enter the equipotential along the composite cross-arm. When entering or exiting equipotential along the UHV AC composite cross-arm, the workers have the maximum electric field strength on their heads and shoulders, with a magnitude being higher than that of the conventional tower. This areas are therefore should be protected specially during live working. The results of this paper can provide a technical support for the safety of live working on UHV AC composite cross-arm lines.

Disturbance Source Location in Power Systems Based on Time Difference of Arrival

WEI Mengxi, MA Ningning, WANG Delin, DENG Wei, KANG Jitao

2019, 52(12):  62-70.  DOI: 10.11930/j.issn.1004-9649.201806117

Asbtract ( )   PDF (4272KB) ( )  

References | Related Articles | Metrics

The system frequency dynamics in large-scale interconnected power grids are characterized by spatial-temporal distribution, and its propagation speed is far less than the light speed. In this paper, the propagation characteristics of dynamic frequency and the response time difference at different locations are used to locate the disturbance sources. Firstly, the Floyd algorithm is used to calculate the shortest propagation path between different locations, and the propagation speed is determined according to the physical parameters of the power grid. And then, the time difference of arrival (TDOA) location method is used to locate the disturbance sources. Finally, the proposed method is applied to the 3-machine 9-bus system and the actual power grid system. The analysis results show that the proposed method can effectively locate the disturbance sources in the power grid.

A New Frequency-Dependent Network Equivalent Method for Power System

LI He, TANG Shuo, CHEN Wenlong, LIN Jikeng, LI Yukai

2019, 52(12):  71-78.  DOI: 10.11930/j.issn.1004-9649.201801030

Asbtract ( )   PDF (3257KB) ( )  

References | Related Articles | Metrics

A new frequency-dependent network equivalent method based on Gaussian elimination is presented in the paper. In the method, the external system's frequency admittance matrix, that is actually the transfer function of external system, is directly calculated by Gaussian elimination method, and the equivalent network is obtained by corresponding relationship between simple RLC branch and fraction gained through the operation of the transfer function. In view of the high complication and huge computation of the equivalent network caused by large-scale power system, a simplification strategy and a step-by-step solution method are further proposed in the paper respectively for the equivalent network and for the large-scale network, which successfully realize the equivalence of a large system. Since the transfer function of external network includes all the electrical information of the external system in a wider frequency range, the equivalent electric circuit of the external system network obtained by the proposed frequency-dependent network equivalent method can reflect the electrical characteristics in a relatively large frequency range with high equivalent precision. Case study has validated the effectiveness of the method.

Blackouts Mechanism Simulation Model of Power System Based on Heterogeneous Cellular Automata

YU Qun, WANG Qi, CAO Na

2019, 52(12):  79-89.  DOI: 10.11930/j.issn.1004-9649.201810097

Asbtract ( )   PDF (4028KB) ( )  

References | Related Articles | Metrics

In order to study the mechanism of large blackouts of interconnected power system, a heterogeneous cellular automata model is proposed and used to simulate interconnected power system. Firstly, cells, homogeneous neighbor cells, heterogeneous neighbor cells, cellular automata model, the state of cellular automata and fault transmission rules are defined. And then, the cellular automaton is used to simulate regional power grids with consideration of the mutual impacts of different regional power grids, and a heterogeneous cellular automaton model is set up. Subsequently, the heterogeneous cellular automata model is used to simulate the blackouts of a partitioned IEEE 118-bus system under the large and small disturbances. The simulation results show that the scale-frequency of blackouts in the entire power grid and each regional power grid follow the power-law distribution, verifying the feasibility of this model. Finally, the heterogeneous cellular automata model is compared with a cellular automata model, and operated with the actual data of power system, and the results show that this model can better simulate blackouts of interconnected power system.

Quasi-Proportional Resonance Control of Grid-Connected Inverter Based on Grid Impedance

SONG Shaojian, YANG Xi, LIU Bin, LIAO Bilian, SONG Chunning

2019, 52(12):  90-96.  DOI: 10.11930/j.issn.1004-9649.201805135

Asbtract ( )   PDF (4413KB) ( )  

References | Related Articles | Metrics

With the large-scale integration of renewable energy to the grid, the problem of sub/super-synchronous oscillations caused by the interaction of renewable energy grid-connected inverters with the grid has drawn great public attention. Such oscillation problems are closely related to the output impedance of the grid-connected inverter and the characteristics of grid impedance. Therefore, a small-signal output impedance model of the three-phase LCL–type grid-connected inverter is developed in this paper with harmonic linearization method, and the impacts of different current control strategies on its output impedance are evaluated, and the influence of grid impedance on system stability is analyzed with the impedance ratio Nyquist criterion. The inherent resonance peak of LCL filter is suppressed by combining passive damping with active damping, and the parameters of quasi-proportional resonance (QPR) controller and the feedback coefficient of capacitance current are adjusted according to the change of grid impedance at the point of common coupling, which enhances the robustness of the system without changing the system damping, and ensures the stable operation of the system. Finally, the effectiveness of the proposed control strategy is verified by combination of time-domain simulation and numerical analysis.

Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets

WANG Dameng, MA Zhiyong, LIU Yibing, TENG Wei

2019, 52(12):  97-104.  DOI: 10.11930/j.issn.1004-9649.201909005

Asbtract ( )   PDF (6769KB) ( )  

References | Related Articles | Metrics

It is beneficial to improve the health management level of the full-life-cycle of wind turbines through establishing the reliability model for wind turbine and estimating its parameter accurately. As the fault sample size of new constructed wind turbines is small, traditional reliability modeling and parameter estimation methods with large sample sets are no longer applicable. This paper applies Bayesian reliability theory to reliability modeling and parameter estimation of wind turbine with small fault sample sets. Based on the fault samples from other wind farms as the priori information of the model parameters. A hierarchical Bayesian reliability model is established. Then the proposed model is solved by the Gibbs algorithm and the posterior distribution of the model parameters is obtained. The normalized root mean square error and the mean width of 95% confidence interval of reliability function are chosen as measurement indices. The comparison of the modeling precision among the traditional reliability model, general Bayesian reliability model and hierarchical Bayesian reliability model are performed. Finally, the generator carbon brushes from various wind farms is taken as an sample to demonstrate the superiority of the hierarchical Bayesian reliability model with small fault sample sets.

Fault Diagnosis of Photovoltaic Array Based on Deep Belief Network

TAO Caixia, WANG Xu, GAO Fengyang

2019, 52(12):  105-112.  DOI: 10.11930/j.issn.1004-9649.201901066

Asbtract ( )   PDF (6740KB) ( )  

References | Related Articles | Metrics

The environment of the PV array is harsh and severe, resulting in frequent faults. In order to improve the accuracy of PV array fault diagnosis, a deep belief networks (DBN) based fault diagnosis method is proposed for the common fault types of PV arrays. The experimental feature parameters was obtained by Matlab simulation and the fault diagnosis model with the five operating states of the PV array is established. According to the characteristics of the DBN, the impacts of training sets, training periods and restricted boltzmann machine (RBM) layers on the model performance are analyzed through recognition experiments. Compared with the fuzzy C-means clustering (FCM), the support vector machine (SVM) and the back-propagation neural network (BPNN) method from the overall diagnostic accuracy and different types of fault diagnostic accuracy. The results show that the method is suitable for fault classification of photovoltaic arrays, and it improves the accuracy of fault identification effectively compared with other diagnostic models.

Study on the Cross Subsidy of Electricity Price and the Measurement of Social Welfare Considering Residential Demand

YE Ze, YAO Jun, WU Yongfei, HE Jiao

2019, 52(12):  113-122.  DOI: 10.11930/j.issn.1004-9649.201908119

Asbtract ( )   PDF (2937KB) ( )  

References | Related Articles | Metrics

The current cross-subsidy of electricity price is quite inefficient and unfair, and its accuracy of measurement and influence on social welfare are directly related to the level of electricity price of users and the design of the cross-subsidy settlement mechanism. The key to the measurement of cross-subsidy of electricity price lies in the verification of the benchmark price. Although the traditional cost-based measurement method considers the balance of income and expenditure of power enterprises, it is not the pricing result of welfare optimum. Starting from the perspective of demand pricing and aiming at maximizing social welfare, this paper constructs a measurement model of electricity price cross-subsidy, which mainly focuses on the users' demands pricing and the construction of demand function. The results show that the cross-subsidy and social welfare are related to the users' self-price elasticity, cross-price elasticity and the welfare weight coefficient of the regulatory agency. Finally, this paper accurately measures the self-price elasticity and the cross-price elasticity of various kinds of users through the empirical model, calculates the cross-subsidy of electricity price and the corresponding optimal social welfare, and verifies the accuracy and effectiveness of the proposed model.

The Influencing Factors of China's Electricity Consumption Based on Structural Decomposition Analysis

GUANG Fengtao, HE Yongxiu, YOU Peipei, GAO Xiao

2019, 52(12):  123-131.  DOI: 10.11930/j.issn.1004-9649.201904064

Asbtract ( )   PDF (2339KB) ( )  

References | Related Articles | Metrics

Since the economic development has stepped into a new normal phase in China, the average annual growth rate of its electricity consumption has slowed down, which shows the deviation from the rate of economic growth. Based on the input-output analysis for electrical energy, structural decomposition analysis is carried out to evaluate the driving factors for the changes of use in relation to electricity consumption. By comparing the effects of various factors among different economic stages and analyzing the growth patterns of electricity consumption, we aim to investigate the reasons for the slowing annual growth rate of electricity consumption. Results show that: per capita final demand level has always been the major driving factor of the growth in electricity consumption, but its proportion of contribution has a decreasing tendency. Except for the period of 2010-2012, direct electricity consumption coefficients have always the primary factor which causes the decrease of electricity consumption, but the final demand structure promotes the growth of electricity consumption with a relatively smaller pulling rate. The engine of electricity consumption growth shifted from export-driven in 2005-2007 to investment-driven in 2007-2010 and consumption-driven in 2010-2015.

Research and Application of Multi-Area New Energy Integration Capability Evaluation Model

YUAN Bo, XU Zhicheng, LIU Jun, ZONG Jin

2019, 52(12):  132-139.  DOI: 10.11930/j.issn.1004-9649.201808120

Asbtract ( )   PDF (2196KB) ( )  

References | Related Articles | Metrics

Inspired by traditional methods of peak load balancing and production simulation, this paper proposed a multi-region new energy integration capability evaluation model based on mixed integer optimization, in which the new energy integration capability in each region is considered as a decision variable. Considering various operation constraints such as new energy outputs characteristics, various types of generator characteristics, transmission section, district heating, and unit combination, the proposed model can effectively evaluate the maximum installation capacity of new energy under the requirements of certain power rationing ratios. Based on the proposed model, the new energy integration capability of China in 2020 was evaluated. The basic scenarios, the slowing thermal power flexibility transformation scenarios, and the high power flow scenarios, were investigated and the relevant suggestions for promoting new energy consumption were given.

The Denitration Strategy of Predictive Dynamic Matrix Control (DMC) Combined with BP Neural Network in Fossil Fuel Power Plant

WANG Tiankun

2019, 52(12):  140-145.  DOI: 10.11930/j.issn.1004-9649.201810059

Asbtract ( )   PDF (3287KB) ( )  

References | Related Articles | Metrics

As one of the major environmental protection indicators, the value of NO_x emission from fossil fuel power plants has been supervised and assessed strictly in real time by the national environment protection department. Unfortunately, due to the intrinsic long duration of pure time delay dynamics in the NO_x controlled model, regulating the NO_x emissions within the ideal range by conventional PID controls would not be easy. In this paper, a strategy of the predictive dynamic matrix control (DMC) algorithm combined with BP neural network model is proposed for the denitration control, in which the BP neural network is implemented to approach the response of the zero predictive input in the DMC control. Therefore, by taking advantage of the BP generalization ability, the time-variant characteristics of the model at different loads in real industrial processes can be approximated to make the predictive model precisely closer to the practical object and consequently improve the precision of the predictive model output in the DMC algorithm. The application in a fossil fuel power plant shows that the new control strategy can effectively improve the NO_x control performance.

Optimization and Application of Ammonia Spraying Device Using Dynamic Matrix Control with Variable Parameters Based on Feed-Forward Loop

XUN Xin, SHENG Kai, CHEN Xiangyu, DENG Jijun

2019, 52(12):  146-153.  DOI: 10.11930/j.issn.1004-9649.201908026

Asbtract ( )   PDF (3821KB) ( )  

References | Related Articles | Metrics

Facing the challenges of the controls in the selective catalytic reduction (SCR) flue gas denitration system of thermal power units, such as long duration of time delay, high inertia and strong nonlinearities, typical PID regulator-based ammonia spraying control systems are not capable of meeting the increasingly high control performance and environmental protection requirements. Regarding the existing issues in the conventional regulators, this paper proposes an optimized ammonia spraying control strategy using dynamic matrix control with variable parameters on the basis of feed-forward loop. The new control strategy can speed up the closed-loop control rate through predictive control, alleviate the external disturbance through feed-forward loop and improve the robustness through self-adaptability to variable parameters. At last, an optimized ammonia spraying control device based on the new strategy is developed and then implemented to a 660 MW supercritical unit. The application practice demonstrated the effectiveness of the device in the performance improvement of ammonia spraying controls.

Flue Gas Dehumidification Technology for On-line Monitoring of Ultra-Low Emission Particulate Matter in Coal-Fired Power Plants

LI Dewen, JIAO Min, ZHENG Lei

2019, 52(12):  154-159.  DOI: 10.11930/j.issn.1004-9649.201907053

Asbtract ( )   PDF (4268KB) ( )  

References | Related Articles | Metrics

Light scattering method is often used in the on-line monitoring of ultra-low emission particle concentration in coal-fired power plants, but its accuracy may be affected by the relative humidity, water droplets, vapor mist and so on. In this paper, the relationship between the measurement error of light scattering method and the relative humidity was found out through the experiment with HJ836-2017 "weight method for the determination of waste gas and low concentration particulate matter of fixed pollution source" as the reference standard. In order to reduce the relative temperature, water droplets and vapor mist of the flue gas to be measured, the application of swirl heater and straight tube heater were explored. The experimental results show that: when the relative humidity is less than 55%, the measurement error of particle concentration can be ignored; under the same power consumption, the heating efficiency of swirl heater is 30% higher than that of straight tube heater; in order to meet the ultra-low emission requirements of coal-fired power plant and improve the reliability of on-line monitoring of particles, the temperature of swirl heating used in flue gas pretreatment should be kept no lower than 120 ℃.

Research on NO_x Emission Reduction Technologies and Simulation of Environmental Benefits for Gas-Fired Power Plants in China

LIU Zhitan, ZHAO Xiuyong, LI Yugang, WANG Kai

2019, 52(12):  160-164,170.  DOI: 10.11930/j.issn.1004-9649.201907045

Asbtract ( )   PDF (7034KB) ( )  

References | Related Articles | Metrics

Based on the current development status, regional distribution and NO_x emission situations of gas-fired power plants in China and the future trend of the environmental protection policies for gas-fired power generation, this paper firstly expounds the necessity of further NO_x emission reductions from gas-fired power plants. Secondly, it analyzes and compares the pros and cons as well as the application potentials of three NO_x emission reduction control technologies, i.e., low nitrogen burners, SCR of waste heat boilers and external control. Then, the meteorological model MM5 and the air quality model CALPUFF are used to simulate the atmospheric environmental benefits in the scenario of the projected gas-fired power generation capacity in Jiangsu Province in 2020. The research results show that the NO_x emissions from gas-fired power generation may and must comply with higher emission standards, which will be conducive to improving regional environmental air quality and taking full advantages of gas-fired power generation in environmental protection.

Analysis on Combustion Characteristics of GE 6FA DLN2.6 Combustion System

DING Yang, SHI Yongfeng, HAO Jiangang

2019, 52(12):  165-170.  DOI: 10.11930/j.issn.1004-9649.201907039

Asbtract ( )   PDF (4663KB) ( )  

References | Related Articles | Metrics

This paper analyzes the structural characteristics and operation modes of the DLN2.6 combustion system, as well as the data recorded in the combustion tuning process. Then it is concluded that for the DLN2.6 combustion system, the PM split value and the actual fuel flow distribution value in the control system are conceptually different, where PM1 split affects PM1, PM3 and PM2 nozzle flow while PM3 split only affects PM3 and PM2 nozzle flow. During the premixing mode operation, the nozzles with higher local fuel-air ratio have significant effects on the pollutant discharge and pressure pulsation of the gas turbine, which may vary with the load variations. In the adjustment process, the nozzle flow status should be taken into consideration whenever any abnormal increase of the pressure pulsation value of the burner is observed.

Optimization of Steam Extraction Combined High Back Pressure Heating Based on Specific Consumption Theory

LIANG Zhanwei, YANG Chenggang, ZHANG Lei, XU Yatao, SUN Peng, ZHANG Junjie, WANG Shunsen

2019, 52(12):  171-178.  DOI: 10.11930/j.issn.1004-9649.201911007

Asbtract ( )   PDF (4627KB) ( )  

References | Related Articles | Metrics

With the wide application of new and high efficiency heating technology, it is becoming urgent to study the operation optimization of various heating technology combined heating. The simulation model of thermal power system is set up by using self-developed thermal power integration scheme (TPIS) software, together with the specific consumption analysis model established on the basis of exergy analysis method. The characteristics of heating specific consumption and power supply specific consumption varying with the load were studied. Then the optimal operating conditions of steam extraction combined high back pressure heating (mode one) and extracting steam cascade utilization combined high back pressure heating (mode two) are obtained by means of specific consumption analysis. Results show that the heating specific consumption and power supply specific consumption of mode two under the optimal condition are 1.6 kg/GJ and 4.6 g/(kW·h) lower than those of mode one, respectively. Mode one demonstrates higher heating capacity, which can supply heat within the range of 600 t/h to 1 000 t/h for main steam flow during secondary cold period. The research outcome can provide certain guidance for the operation optimization of steam extraction combined high back pressure heating.

Research and Application of Integrated Key Technology Design for Boiler and Side Coal Warehouse

LI Changxu, SHI Zhijie, LIU Yu

2019, 52(12):  179-184.  DOI: 10.11930/j.issn.1004-9649.201812090

Asbtract ( )   PDF (4185KB) ( )  

References | Related Articles | Metrics

Boiler room and coal warehouse are both the main buildings of the thermal power plant. This paper analyzes the technical scheme of coal silo layout in the 2×660 MW high-efficiency ultra-supercritical unit expansion Phase II Project of Shenhua Guohua Ningdong Power Plant. Through the procedures of optimization and verification, the technical innovation scheme of 2 boilers and coal silo layout is finally determined. In this scheme, coal silos are arranged between two furnaces, that is, two furnaces share one coal silo. Coal and pulverizing systems are arranged symmetrically. This innovated design has the advantages of compact equipment layout, short process pipeline, low construction volume, short construction period, low project cost and minimum effort in maintenance. The two 660 MW units of Ningdong Power Plant, which adopted the design of joint arrangement between coal warehouses, were placed into service on August 31, 2017 and December 26, 2017 respectively. So far they have been running well and smoothly for more than one year with all performance indices exceeding the design requirements. The application practice shows that the technology is apparently economical with promising application prospect.