Table of Content

05 August 2020, Volume 53 Issue 8

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Analysis on the Operation Mode of Aggregation Service for Distributed Generation System for the Future Energy Internet

HU Yang, TIAN Bing, LEI Jinyong, YUAN Zhiyong, MA Xiyuan, YU Wenhui, MA Jianxun

2020, 53(8):  1-8.  DOI: 10.11930/j.issn.1004-9649.201912072

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This paper analyzed the operation mode of the distributed generation system under the background of the energy internet. Based on the traditional "unified purchase and sale" operation mode, the operation mode of the "aggregation service provider" for distributed power generation with the energy internet technology was proposed. The two main auxiliary service types involved in the "aggregation service provider" operating mode were analyzed, and the corresponding calculation methods for expected costs and benefits were proposed. Taking an industrial park as an example for numerical analysis, the costs and benefits of the distributed energy system under the above two modes were obtained, and the influence of key parameters such as power grid prices, photovoltaic subsidy prices, auxiliary service prices and output distribution coefficients on the static payback period have been demonstrated.

Robust Optimization of Integrated Energy Systems Considering Demand Response and Photovoltaic Uncertainty

ZHAI Jingjing, WU Xiaobei, FU Zhixin, ZHU Shaojie, LIU Haoming

2020, 53(8):  9-18.  DOI: 10.11930/j.issn.1004-9649.201912126

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Due to the photovoltaic integration and the electrical demand response, the operation uncertainty of energy system and the complexity of optimal dispatch of integrated energy system have been increased significantly. The integrated energy system based on multi-source information fusion can collect and process massive operation data in real time, effectively supporting the integrated energy system to achieve efficient and economic operation of the terminal energy supply system. On the basis of introducing an integrated energy system based on multi-source information fusion, a demand response model of the power load is constructed to describe the demand response characteristics of the shiftable load. Focusing on the uncertainty of photovoltaic output, the Latin hypercube sampling and K-means scenario reduction technology are used to generate a typical scenario set, in order to determine the uncertainty range of photovoltaic output. A typical equipment mathematical model of the integrated energy system is established. Considering the demand response of the power load, a robust optimization objective function of the economic operation of the integrated energy system is constructed and the robust optimization algorithm is used to solve the problem. The case simulation results show that while improving the system operation safety, the robust optimization increases the system operation cost. After considering the demand response, the operation economy of the regional integrated energy system is improved. The more users participate in demand response, the more obvious the economic improvement will be.

Research on Park Users Portrait and Maturity Evaluation Model under the Background of Energy Internet

WANG Lili, ZHANG Linjuan, XU Changqing, WU Hongbo, LI Yiming, HUANG Yujing

2020, 53(8):  19-28.  DOI: 10.11930/j.issn.1004-9649.201912066

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With the deepening of the construction of energy internet, China's energy-related industries are actively innovating from top to bottom to promote the efficient and rational use and development of energy. As the focus of energy consumption and the centralized application of energy internet technology, park users are the important front positions of the energy revolution. How to efficiently and deeply mine the value information contained in massive data and depict the energy consumption characteristics of users in the park to provide value services for users, power grids and more market players is an important content and research direction of energy internet. Based on the user portrait technology, this paper constructs a three-level tag system for campus users covering multiple dimensions of user characteristics, taking into account factors such as load level, power consumption behavior and interaction ability. Based on this, a maturity evaluation model for campus users is constructed to evaluate the power consumption characteristics of users from three dimensions of load level, power consumption behavior, and interaction ability. The case study shows that the model is helpful for regional power grid operators to quickly and intuitively grasp the load behavior patterns and electricity demand laws of power users, and then efficiently carry out accurate power supply and value-added services.

Residential Electricity Load Model Construction in District Scale

XU Jieyan, XU Wenyang, CHU Yuan, JIN Yuan, KANG Xuyuan, CHEN Zheng

2020, 53(8):  29-39.  DOI: 10.11930/j.issn.1004-9649.202002019

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Faced with the energy development situation in the new epoch, it is key measures for promoting the development of power energy Internet to effectively integrate the information of power users, grid companies and suppliers, and to comprehensively analyze the source network load and storage characteristics. Therefore, it is crucial to simulate the typical electricity load in buildings. This study focuses on the electricity consumption of different households in district scale and proposes a preprocessing method of electricity load of district-scale users, and a residential daily electricity load simulation method. The electricity consumption data of urban scale has high-dimensional characteristics in both spatial scale and temporal span. Characterizing the district-scale electricity consumption is the principal difficulty. To this end, this study proposes a method integrating auto-encoding and neighbor clustering algorithms for data outlier detection for data with high-dimensional characteristics at the spatial and temporal scales. Based on the results of preprocessing, the study proposes a district-scale residential electricity load simulation model based on clustering analysis, and the evaluation method. Clustering analysis was performed on the average daily electricity consumption and the daily maximum load of the whole year of single household. Based on the clustering analysis, a random electricity model is proposed to simulate the daily electricity consumption of residential buildings on the district scale. In this study, part of the household in one key city in East China is used as a case study to demonstrate the proposed method. The raw data comes from the daily electricity consumption measurement of multi-family smart meters, lasting for one year. To conclude, this study builds a complete research method of data outlier preprocessing, clustering analysis, model construction and model verification, it can effectively solve the needs of power energy Internet construction for the end use energy consumption analysis of a large amount.

Leader-Follower Game Mechanism and Strategy of Industrial Park Demand Response with User Aggregator

LI Zhangyi, MA Xin, PEI Wei, ZHANG Liang, LIU Mingshuang, LIANG Qiuhong

2020, 53(8):  40-49.  DOI: 10.11930/j.issn.1004-9649.201908008

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In the regional integrated energy system, different stakeholders usually have various optimization objectives and supply energy demands. In particular, the appearance of multiple novel power transaction subjects makes it more sophisticated for controlling strategies and decision-making mechanisms related to power transaction. As a result of that, it is an inevitable trend to bring in price-oriented gaming mechanism to balance the gap among multiple benefits. Considering multiple stakeholders sequence and fluctuating changes in the energy trading process, a leader-follower electricity market mechanism model based on Stackelberg game theory and electricity market basic rules is brought out in this paper, in which user aggregators integrate demand resources and negotiate with industrial park operators. Then negotiating strategies and game rules between industrial park operators and user aggregators are analyzed by qualitative methods. Besides, two stage-optimization algorithms are used to solve this model. By the comparison and analysis of optimization results, it is verified that the proposed mechanism could guarantee the economic interests of the three parties as well as improve the weak positions of aggregators and enterprise users during gaming mechanism. Therefore, it is of great significance for electricity market operation, reducing the peaking cost of large users and relieving the pressure on the power grid.

Day-Ahead Economic Dispatch for a Combined Cooling, Heat and Power Microgrid System Considering Wind Power and Load Uncertainty

WANG Changhao, LIU Yang, XU Lixiong

2020, 53(8):  50-59.  DOI: 10.11930/j.issn.1004-9649.201907123

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Considering the influence of uncertainties of wind power outputs and load on the operation of microgrid, a two-stage robust stochastic scheduling model is established for CCHP microgrid with multi-type distributed generations after distinguishing the characteristics of uncertain sources and loads. Although the current accuracy of wind power prediction is low, its fluctuation range is easy to measure, so a robust optimization method is applied; the load forecasting accuracy is high and has certain regularity, and then a stochastic optimization method is applied. Firstly, multiple load scenarios are formed by random sampling, then several typical load scenarios are obtained by reducing them. Next a day-ahead scheduling scheme is formulated with the goal of minimizing the weighted average of the scheduling cost of each scenario, in which a two-stage robust optimization method is used to solve the scheme. Considering the phenomenon of wind abandonment in actual production, penalty cost is introduced to increase wind power absorption. Simulation results show the rationality and economy of the proposed scheduling method.

Research and Implementation of Power Grid Simulation Data Management Platform

FAN Yana, BU Guangquan, TAO Xianghong, WANG Hongfu, ZHANG Zhiqiang

2020, 53(8):  60-68.  DOI: 10.11930/j.issn.1004-9649.201903001

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Based on an in-depth analysis of the requirements of large interconnected power grids for simulation data management, the corresponding solutions are proposed. The paper studies the technology for extracting multi-time-section power grid model and the data processing technology for addressing bus topology change, and develops a data management platform for power grid simulation, which has been successfully applied to the State Grid Simulation Center, and supported dozens of units such as dispatching center for the preparation of joint calculation data, and become a platform of data management and distribution for the State Grid. The platform has effectively solved the problems of long data preparation period and low work efficiency of ultra-large-scale power grids, unified the data sources for simulation calculation in different areas, realized the remote maintenance, centralized management and rolling update of power grid simulation data, and improved the maintenance efficiency and quality of power grid simulation data, and provided strong support for the safe and stable operation of UHV AC/DC hybrid power grid.

Design of Photovoltaic-Communication Co-simulation Module Based on TrueTime Toolbox

CHEN Lu, WANG Yue, TANG Wei, ZHANG Bo, CAI Yongxiang

2020, 53(8):  69-76.  DOI: 10.11930/j.issn.1004-9649.201912018

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The existing power communication co-simulation methods commonly have such problems as time synchronization difficulty, complex data interaction interface, and insufficient dynamic simulation precision. In this context, for the sake of easy operation and accurate dynamic simulation of photovoltaic grid-connected system, a PV-communication co-simulation module is designed based on TrueTime toolbox. The designed co-simulation module can be implemented in the Matlab/Simulink simulation environment, and has salient merits of avoiding complicated time synchronization mechanism and data interaction interface design. In this regard, the proposed modular provides a simple analytical tool for researchers to simulate the impact of a planned communication network on the performance of a photovoltaic grid-connected system. Finally, the effect of the proposed co-simulation method based on the module is verified through typical test systems.

Probabilistic Optimization Method for Pilot-Bus Selection and Network Partitioning of AC/DC System

YAN Wei, YANG Biao, MO Jingshan, ZHOU Youbin, WANG Tao, XIAO Fan

2020, 53(8):  77-84.  DOI: 10.11930/j.issn.1004-9649.202004166

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To ensure higher voltage control ability of regional power supply to the converter bus, a probabilistic optimization method for pilot-bus selection and network partitioning of AC/DC system is proposed in this paper. Through load equivalence of converter station, the typical node power scenarios of source-load-converter station are simulated. With consideration of the reactive power partitioning balance demand under the node power variation of source-load-converter station, an optimization model is established considering the controllability of the coupling bus of AC/DC system, and is solved by the immune genetic algorithm. As a result, the voltage control ability of the regional power to converter station is further improved. A simulation analysis is conducted on an IEEE 39 bus system, and the result verifies the effectiveness of the proposed method.

Fault Identification of DC Transmission Lines Based on Energy Ratio Analysis

ZHU Peng, XIA Xiangyang, LI Mingde, LEI Yunfei, XIA Li, ZHOU Zhengxiong, HUANG Hai, YIN Peng, LUO Yanpeng, LI Guangcheng

2020, 53(8):  85-90,99.  DOI: 10.11930/j.issn.1004-9649.201912142

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HVDC transmission lines, being long in distance and crossing complex natural environments, are prone to lightning and short to ground faults. Aiming at this problem, a novel fault identification method is proposed based on energy ratio. Considering the transient energy variation of transmission lines caused by lightning faults or short to ground faults, and the difference of fault energy characteristics between lightning fault and grounding fault, it is proposed from the perspective of energy to use the S-transformation to separate the energy of each frequency band of the transmission line, and to extract the energy of a specific frequency band for ratio analysis. A 220 kV HVDC transmission line model is constructed using EMTP/PSCAD, and the simulation results show that the proposed method can well identify the lightning faults and short-to-ground faults.

Effect of Different Operational Maintenance and Repair Strategies on Annual Downtime of Transformer

SUN Huijun, HE Yongxiu, XIONG Wei, ZHANG Yan, YOU Lisha

2020, 53(8):  91-99.  DOI: 10.11930/j.issn.1004-9649.201912130

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Transformer's life cycle is conducive to the optimization of transformer maintenance decisions and the improvement of equipment physical asset.Measuring the impact of different transportation inspection strategies on the annual outage time of transformers is beneficial to measuring the impact of different transportation inspection strategies on the annual outage time of transformers, which is beneficial to the optimization of transformer maintenance decisions and the improvement of equipment physical asset management. This paper first describes the transformer inspection strategy and its life assessment, and then performs Monte Carlo simulation on the operating state based on the fault rate of the transformer, and obtains the probability distribution of the transformer's faultless duration, combined with the transformer age regression analysis. The model is used to construct the calculation model of the annual outage time of the transformer. Finally, the influence of different transportation inspection strategies on the annual outage time of the transformer is analyzed.The feasibility of the model is proved by a case study. It can be seen that the state-based maintenance based on big data is better for shortening the annual outage time of the transformer.

Multi-objective Optimization Configuration of Capacitor Blocking Devices Based on Field-Circuit Coupled Model and Improved Differential Evolution Algorithm

LIU Hongwei

2020, 53(8):  100-106.  DOI: 10.11930/j.issn.1004-9649.201912188

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Based on the operating characteristics of the DC blocking devices, this paper analyzes the influence of the DC blocking devices on the DC current near the neutral point of the transformers, and proposes a multi-objective optimization configuration method for capacitor blocking devices based on the field-circuit coupling model and improved differential evolution algorithm. Firstly, a transformer equivalent model and a soil layering model are established respectively. And then, the two models are combined into an equivalent field-circuit coupling model. The finite element method is adopted to solve the DC current at the neutral point of each transformer. Under the condition that the DC current at the neutral point of each transformer is lower than the limit, an optimal configuration model is established with the minimum number of installed devices and the minimum total DC at neutral points of the entire transformers as the objective function. Finally, the effectiveness and superiority of the proposed method is validated through simulation study of a DC transmission project, which shows that the configuration scheme of DC blocking devices obtained with this method can effectively suppress the phenomenon of DC bias and save costs.

Application and Prospect of Beidou Navigation Satellite System (BDS) in Smart Grid

LI Bo, FANG Tong

2020, 53(8):  107-116.  DOI: 10.11930/j.issn.1004-9649.202006179

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Beidou navigation satellite system（BDS）is important for the development of smart grid. Based on an analysis of BDS’s development status quo and trend, and the needs of smart grid, a research is carried out on application of BDS in smart grid. An unified spatial-temporal information support framework is constructed based on BDS, and the typical applications of BDS in smart grid, such as high-precision time service, positioning and navigation, and short message communication, are analyzed. The results show that BDS will be the basic support component for smart grid development in the future, and the comprehensive application of big data, cloud computing, Internet of things (IoT), mobile Internet, artificial intelligence(AI) and other technologies will enhance the integration of BDS. However, further application of BDS in smart grid will face such challenges as cost, application scenario expansion, standard system construction, etc.

On the Determination of Emission Standards for Air Pollutants Released from Stationary Gas Turbines

LIU Zhitan, SHU Xi, YANG Aiyong, LI Yugang

2020, 53(8):  117-124.  DOI: 10.11930/j.issn.1004-9649.201912108

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As the environmental protection requirements become more stringent and installed capacity of stationary gas turbines keeps growing, the impacts of NO_x emissions have been receiving increasingly more attention. However, the current national standard of "Emission Standards for Air Pollutants of Thermal Power Plants" does not provide sufficient guidelines because its emission limit settings are not well defined for particulate matter and SO₂. This paper firstly compares and analyzes the pollutant sources, current status of the standards, emission status and monitoring methods of conventional air pollutants in terms of NO_x, SO₂ and particulate matter. Then, in the aspects of the technical feasibility, the advantages and usability of the standard, as well as the economic and environmental benefits in the transformation of stationary gas turbines carried out in Jiangsu Province, it is recommended that the NO_x limit should be set to 15 mg/m³, and the emission limit of SO₂ and particulate matter should be abolished.

Experimental Study on Sulfuric Acid Dew Point Corrosion of Waste Heat Boiler in Gas Turbine Power Station

ZHU Zhiping, LIU Zhifeng, HUANG Zhaoxin, ZHANG Yu

2020, 53(8):  125-130,138.  DOI: 10.11930/j.issn.1004-9649.201907138

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The safety and economy of the waste heat boiler of the gas turbine power station will be undermined because of the sulfuric acid dew point corrosion. To figure out the exact mechanism, by taking account of the field operating conditions, the distribution value of the condensation acid concentration of the waste heat boiler of the gas turbine power station is calculated according to the thermodynamic principle. Based on this, the dew point corrosion simulation experiments of 20G steel used for the waste heat boiler is carried out. The electrochemical performance and surface morphology of 20G were analyzed by electrochemical workstation, transflective metallographic microscope, scanning electron microscope (SEM) and X-ray diffraction (XRD). The results of immersion test show that the low temperature-low concentration sulfuric acid corrosion is much more destructive than the high temperature-high concentration sulfuric acid. If the inlet water temperature of the feedwater heater is raised to above 80 ℃, the corrosion rate of the pipeline can be greatly reduced in its low temperature section.

Review on Policy and Technology Route of Water Discharge Control in Thermal Power Plant

YANG Yang, HU Dalong, HUANG Qian, XU Zhen, WANG Jing, WU Huoqiang, WANG Bo

2020, 53(8):  131-138.  DOI: 10.11930/j.issn.1004-9649.201902197

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Due to the certain gap between the current situation of water discharge and the exact requirements of pollutant discharge permit system in thermal power plants, it is imperative to enforce the regulations for wastewater discharge control. After listing the related laws and regulations of water saving and standards, based on the actual situation of water discharge, this paper put forward the technology route of water discharge control specifically, which included the water control target and principle as well as the technology routes for raw water pretreatment, desulphurization wastewater treatment and other types of wastewater treatment. In addition, the technical route of terminal wastewater treatment is presented, which can provide the beneficial reference and thoughts for the relevant transformation of thermal power plant.

In-depth Analysis on Wastewater Discharge of Wet Limestone-Gypsum FGD

JIA Xibu

2020, 53(8):  139-144,163.  DOI: 10.11930/j.issn.1004-9649.201904115

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The trend of zero wastewater discharge policy is inevitable for coal-fired plants despite the major technical difficulty in the discharge of wet limestone-gypsum FGD wastewater. To obtain reasonable discharge amount of FGD wastewater, the author took the example of a 350 MW coal-fired unit in the case studies with the source and discharge of chloride ion amount as the starting point. Then benchmarked on the chloride ion balance concentration in the absorber slurry, the material balance of chloride ion from coal input, FGD process water, gypsum output, wastewater discharge, etc. were calculated. On this basis, the effects of the engineering projects on FGD water were explored such as in-depth optimization of desulfurization system and in-depth flue gas treatment, which will provide substantial data support for the feasibility research of zero discharge projects for terminal wastewater treatment.

Test Study on SO₃ Control Effect of Slurry Cooling Wet Plume Treatment Project in a Typical Coal-Fired Power Plant

WU Jiayu, ZHU Jie, MO Hua, ZHANG Feng, SHUAI Wei, ZHANG Qing, NA Qin

2020, 53(8):  145-150,172.  DOI: 10.11930/j.issn.1004-9649.202004179

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In this paper, the SO₃ control effect of the slurry cooling wet plume treatment project is tested and evaluated. With the controlled condensation method and the isopropanol absorption method applied respectively in a 1 000 MW coal-fired power generation unit, the testing results show that the SO₃ removal efficiency of the wet flue gas desulfurization (WFGD) system reaches 62.50% and 64.63% accordingly. The SO₃ mass concentrations of the flue gas can be controlled under 3 mg/m³ with current ultra-low flue gas emission treatment facilities. However, using the same controlled condensation method and the isopropanol absorption method, the SO₃ removal efficiency of the slurry cooling wet plume treatment project is only 6.68% and 5.55%, respectively, which indicates unsatisfactory SO₃ control effect and relatively low environmental benefit. At last, it is suggested that the wet plume treatment of coal-fired generation plants should be implemented with great caution and on the basis of scientific verifications. Further studies are needed for efficient SO₃ control techniques, SO₃ testing benchmarks and related environmental management policies.

Design and Application of Desulfurization Wastewater Treatment System with Low Temperature Flue Gas Residual Heat Flash

WANG Jinquan, ZHAO Zhouming, ZHANG Zhihua

2020, 53(8):  151-157,181.  DOI: 10.11930/j.issn.1004-9649.201912020

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In this paper, based on the analysis on the water quality of the desulfurization wastewater generated from a power plant, an in-depth treatment technology for the wastewater using low temperature flue gas waste heat flash is proposed. With the model of evaporation established and then solved, the main parameters of the process system were determined. Then a pilot-scale project with the wastewater treatment volume of 15 m³/h were built. The operation results show that the process system is simple in structure. And the operation is stable and reliable with low costs, high water recovery volume and basically free of wastewater discharge, which means that the goal of zero wastewater discharge has been achieved. In addition, the main quality indices of the wastewater after treatment have basically met the requirements of GB/T 50050—2017 "Code for Design of Industrial Recirculating Cooling Water Treatment".

Feature Extraction Method for Wet Flue Gas Desulfurization Under Operating Conditions Based on Mutual Information and PCA Theory

LIU Wenhui, XU Zunyi, ZHANG Xuran, ZHANG Haiyan

2020, 53(8):  158-163.  DOI: 10.11930/j.issn.1004-9649.201910099

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So far the principal component analysis is still the most commonly used method for feature extraction in the optimization research on wet flue gas desulfurization (WFGD) system. However, due to the nonlinearities and the high mutual coupling of the factors affecting the energy consumption of the WFGD system, there is no feasible way for the existing feature extraction methods to evaluate the defects of the non-linear relationship between the features. Therefore this paper proposes a feature extraction method based on mutual information and principal component analysis (MI-PCA), in which the covariance matrix in principal component analysis is replaced with a mutual information matrix between features. The eigenvector represents the direction of each principal component in the new principal component space, while the eigenvalue determines the principal component dimension as the evaluation criterion. Through the implementation of the proposed method the characteristics of the measured desulfurization data of a power plant is therefore extracted. From the experimental results this method has demonstrated better dimensionality reduction effect. With the aid of the support vector machine based on grid search method as the classifier, higher classification accuracy is observed assuming the same dimensions of the principal components. Finally, by using this method in the optimization of the operation mode of the slurry circulation pump, the average power consumption has been reduced by about 14.69%.

A Capacity Market Design Guiding the Long-Term Effective Balance of Power Supply and Demand

CHEN Zheng, ZHANG Xiang, MA Ziming, DAI Xiaojuan, XIA Qing, ZHAO Ran

2020, 53(8):  164-172.  DOI: 10.11930/j.issn.1004-9649.201906029

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Capacity market is an important trading product for maintaining the future power balance. Foreign capacity markets such as PJM in the United States mainly solves the problems of the reliability of future capacity supply and the cost separation of capacity and energy. However, the problems of inaccurate capacity demand forecasting and difficulty in effective balance of power supply and demand remain unsolved. A capacity market mechanism is proposed in this paper with consideration of the interaction among market participants and virtual bidders. A market correction mechanism is established to eliminate the unbalanced forecasting deviation based on the interaction among market participants and the speculative arbitrage of virtual bidders. The proposed mechanism can fully mobilize the resources and wisdom of the whole society, and guide the long-term effective balance of power supply and demand to reduce market risks. The connection mechanism between the capacity market and the energy market is proposed in this paper, in which the asset utilization rate of energy market is considered as the index to measure the effective capacity of capacity market, so as to inhibit the impulse of market participants to exercise market power in energy market based on incentive compatibility approach.

Game Analysis of Microgrid Capacity Configuration for Different Investment Modes Constrained by Loss of Power Supply Probability

JIN Shunping, FANG Fang, ZHU Zhongyan, LIU Jizhen

2020, 53(8):  173-181.  DOI: 10.11930/j.issn.1004-9649.201903101

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To enhance the economy and reliability of an isolated wind/solar/storage microgrid, it is necessary to configure the capacity of microgrid reasonably. However, because of the complicate ownerships of the wind turbines, the photovoltaics and the storage batteries held by different investors, the conflicts may take place between the global optimal operation of the microgrid and the pursuit of individual interest of each investor. To comply with the market management mode of the future microgrid operation, three kinds of game models (i.e., the non-cooperative game model, the wind and photovoltaic power dominant game model, and the wind power dominant game model) are established respectively, which are based on the correlation principles of the pure-strategy Nash equilibrium and the Stackelberg competition strategy of the game theory. The maximization of annual average income within the operating life cycle of the equipment is taken as the optimization objective subject to the loss of power supply probability as the reliability constraint. Then with regards to the above three models, the optimal capacity configuration of the wind/solar/storage microgrid are solved. According to the case study results and sensitivity analysis of the loss of power supply probability, the reasonableness and effectiveness of the proposed models are verified.

Flexibility-Oriented Day-ahead Market Clearing Model for Electrical Energy and Ancillary Services

YANG Meng, ZHANG Lizi, LV Jianhu, XUE Bike, YUAN Hao

2020, 53(8):  182-192.  DOI: 10.11930/j.issn.1004-9649.202006277

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In the power system with high penetration rate of renewable energy, the day-ahead market of electric energy and ancillary services acts as the primary trading platform to support the short-term operation flexibility of the power system. Therefore, its market clearing model is of vital importance for the effective incentive and utilization efficiency of flexible resources. In this paper, combined with the system demand for flexible power resources, the influence of traditional unit commitment model on the utilization efficiency of flexible resources is analyzed, and a flexible day-ahead market co-optimization model is then proposed. The model incorporated the ramping variables into the decision variables, and took into account the effects of the unit start-stop process output, optimal time interval, ancillary service adjustment direction and other factors on the system flexibility, so as to achieve the joint clearing of different trading varieties. Case studies on the system including renewable energy, nuclear power and energy storage indicates that the application of this method exhibits the performance differences of various flexible resources and hence better meet the needs of high-proportion renewable energy systems.