ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

ISSN 1000-1026

CN 32-1180/TP

Automation of Electric Power Systems

Competent Authorities:State Grid Corporation of China

Sponsored by:State Grid Electric Power Research Institute/NARI Group Corporation

Publisher:State Grid Electric Power Research Institute Press

Journal Tags:Ei,Scopus,INSPEC,CSA,CAS,AJ,JST,Google Scholar,CSAD-C,CSPD,CSCD,CCJAD,CAJCED

  • Period:Semimonthly Publication
  • Editor in Chief:XUE Yusheng
  • Language:Chinese
  • Release Date:Feb,1977

Description

Automation of Electric Power Systems (AEPS),started publication since 1977,has been one of the core periodicals of Ei since 1999 and has been indexed in 14 famous domestic and overseas searching databases. The authoritative data from Google scholar H5, SCImago Journal Rank, CiteScore metrics from Scopus, etc. show that AEPS is always among the best Chinese academic journals.

        Also, AEPS is one of the journals with the highest impact factor for years in the field of electric power in China.

Impedance Analysis and Sub/Super-synchronous Oscillation Suppression of Modular Multilevel Medium Voltage Converter
2019/1/18 13:56:35  DOI: 10.7500/AEPS20180515005
[Abtract](44)[PDF](21)
Abtract:
Modular multilevel converter is widely in the medium and high voltage power grid. For the potential subsynchronous/supersynchronous oscillation problem in PV medium voltage DC power collection and integration system, this paper systematically establishes the positive- and negative-sequence impedance models of MMC converter, which provide the basis of the stability analysis for grid-connected MMC inverters. Combined with the impedance analysis theory, two simulation cases in time and frequency domains predict subsynchronous/supersynchronous oscillation with different control parameters. Simulation results show that subsynchronous/supersynchronous oscillation can be effectively suppressed with the optimization of control parameters in high series-capacitor compensation working condition.
Strong Correlated Transmission Sections and Its Identification Method from the Perspective of Transient Stability
FANG Yongjie , CUI Xiaodan
2019/1/15 16:33:03  DOI: 10.7500/AEPS20180712001
[Abtract](113)[PDF](47)
Abtract:
The transient stability limit power coupling of multiple AC transmission sections brings great challenges to the security and stability operation of the power grid. Based on the analysis of the corresponding relationship between the transient response trajectory characteristics and the stability mode in the disturbed system, the concept of the key transmission section and the associated sections from the transient stability perspective is proposed, and the associated transmission sections are classified as the mode-coexistence mechanism determined and mode-evolution mechanism determined sections. The index of the synchronization force coefficient for the disturbance severity of the branch, which is used to reflect the system stability model based on the electrical quantity changes, is put forward, after that, a practical algorithm for identifying the key section and related sections is put forward by combining the index, the graph theory and the transient stability mode recognition method, which is helpful to overcome the lack of inaccuracy and inefficiency of the artificial experience method which is lack of mechanism analysis guidance. It provides the basis for the stability analysis or operation monitoring of the power grid security and stability coordination control based on the accurate identification of transmission section. Based on the example of IEEE10 39 node system, the principle and effectiveness of the proposed method are illustrated.
Multi-time Scale Optimal Scheduling of CCHP Microgrid with Ice-storage Air-conditioning
CHENG Shan , HUANG Tianli , WEI Rongjong
2019/1/15 15:14:19  DOI: 10.7500/AEPS20180417007
[Abtract](94)[PDF](55)
Abtract:
Combined cooling,heating,and power microgrid (CCHP-MG) has important application value for realizing sustainable energy development and building a low-carbon society. However, relatively complex energy structure and the coupling relationship between the equipments inside the systems, renewable energy consumption and the stabilization of load fluctuations bring challenges to the optimal operation of CCHP-MG. In this paper, a multi-time scale optimization scheduling model of CCHP with ice-storage air conditioning was proposed, and the influence of different operation modes of the ice-storage air-conditioning system on the optimal operation was studied. In the day-ahead scheduling, the uncertainty of renewable energy is represented by multi-scenarios, and the economic operation of the CCHP-MG during a optimization cycle is given attention; based on the day-ahead scheduling, a two-layer rolling optimization model is raised in the intraday scheduling for stabilizing the load fluctuation according to the coherency and complementarity of the cool, heat and electricity load at different time scales, and the output power of each equipment can be identified. The simulation results indicate that the operation mode of ice-storage air conditioning system is related to the improvement of the comprehensive benefits of CCHP-MG., and the multi-time scale optimization scheduling model can not only meet the requirements of users for cold, heat and electricity, but also can effectively stabilize the random fluctuation of both supply and demand side, and ensures CCHP-MG working with high economic efficiency and stability.
Design of Peak Regulation Auxiliary Service Market for East China Power Grid to Promote Inter-provincial Sharing of Negative Reserve
HU Zhaoyang , BI Xiaoliang , WANG Ke
2019/1/11 11:38:26  DOI: 10.7500/AEPS20180711007
[Abtract](130)[PDF](54)
Abtract:
With the abrupt increase of incoming electricity from the outside region, the rapid development of new energy inside East China region, the slow growth of valley load and the increase of peak and valley differences in electricity use, the shortage of negative reserve during the valley has been becoming an intractable problem and the market mechanism for sharing the peak regulation resources between different provinces is urgently needed. This paper mainly introduces the market positioning, basic principles and market operation rules of the solution for East China Power Grid joint peak regulation auxiliary service market, and discusses some key issues such as the reasons for giving priority to the use of peak shaving resources in the own province, unified marginal price clearing mechanism, the mode of peak cost sharing, profits of all participants, the interactive ways to other provincial markets. Based on the actual example, the paper analyzes the organization process, settlement method and sharing principle of peaking service for East China Power Grid.
Minkowski Sum Based Flexibility Aggregating Method of Load Dispatching for Heat Pumps
LI ZIHAO , LI TIE , WU WENCHUAN , ZHANG BOMING , JIANG FENG , CUI DAI
2019/1/11 11:37:04  DOI: 10.7500/AEPS20180830010
[Abtract](81)[PDF](22)
Abtract:
With the implementation of the "Coal to Electricity" project, the heat pump load in the distribution network increases significantly, and the large peak-valley-gap of heating load leads to low utilization of equipment. At the same time, small photovoltaic power generation is widely connected to the distribution network, inducing photovoltaic energy elimination difficulties. In this paper, a geometry based flexibility aggregating method and revenue settlement for heat pumps joining in day-ahead dispatch of distribution network is proposed. In order to accurately describe the polymeri-zation flexibility of the heat pump load cluster, this paper uses the constraint space superposition method based on Minkowski sum, and describes the heat pump cluster as a "virtual synchronous machine" or "virtual battery" model by looking for its maximal inner cube or rectangular pyramid simplification constraint. Furthermore, a method of income distribution among users based on approximated sharply value is proposed. Case study verifies our method with an IEEE-33 buses system.
Special Report
Analysis on Blackout in Brazilian Power Grid on March 21, 2018 and Its Enlightenment to Power Grid in China
YI Jun , BU Guangquan , GUO Qiang , XI Gongwei , ZHANG Jianyun , TU Jingzhe
2019, 43(2): 1-6.DOI: 10.7500/AEPS20180812003
[Abtract](286)[PDF](159)
Abtract:
On March 21, 2018, a large-area blackout occurred in Brazilian power grid because of a series of chain reactions caused by a circuit breaker overload protection. As sequence, the northern and northeastern power grids were disconnected from the main power grid in Brazil, 14 states in north and northeast area came to blackout, and 9 states in south, southeast and midwest area were also affected. The operation status of Brazilian power grid before the accident and the cause, process and recovery of the blackout are introduced. It is pointed out that the main causes of the accident are the lack of necessary stability analysis before the accident, the defects in security control, the misoperation of protection and the unreasonable configuration of the third line of defense. Combined with the actual situation of power grid in China, some recommendations are put forward to ensure the safe and stable operation of the power grid and to prevent blackouts. For example, attention should be paid to the setting and operation of protection and control devices.
Basic Research
Competitive Mechanism Design in Electricity Market Based on Fair Benefit Allocation
WANG Jianxiao , ZHONG Haiwang , XIA Qing , WANG Yang , LAI Xiaowen , GUO Xinzhi
2019, 43(2): 7-17.DOI: 10.7500/AEPS20180410009
[Abtract](210)[PDF](142)
Abtract:
Promoting the electricity price reform, and constructing a “fair, open, organized, competitive and complete” electricity market are critical tasks confronted by the new-round electric power system reform of China. At present, the foreign electricity markets generally adopt locational marginal prices(LMPs)for electricity market clearing. However, the existing theory and practice demonstrate that LMPs cannot incentivize market participants to be truth-telling, and cannot solve the problem of information asymmetry. To incentivize market participants to truthfully bid and thereby achieve an optimal allocation for electrical resources, a competitive mechanism in electricity markets is proposed based on fair benefit allocation. Firstly, the phenomenon and reason why the LMP mechanism cannot elicit truthful information while leading to market efficiency loss are analyzed. Then based on Vickrey-Clarke-Groves(VCG)theory, a fair benefit allocation mechanism is proposed for day-ahead electricity markets, and it is proved that the proposed mechanism satisfies the properties of incentive compatibility, individual rationality and system cost minimization. The economic meaning why the proposed mechanism satisfies incentive compatibility is also explained. Case studies based on IEEE 30-bus and 118-bus systems validate the effectiveness of the proposed mechanism.
Bilateral Game Model of Power Supply and Demand Sides with Incomplete Information in Day-ahead Electricity Market
JIANG Wei , WU Jie , FENG Wei , DUAN Xiaofeng , TANG Haibo , WU Lei
2019, 43(2): 18-24.DOI: 10.7500/AEPS20180615003
[Abtract](208)[PDF](116)
Abtract:
With the in-depth development of the direct power purchase by large consumers, the contradiction between the marketization of medium-long term bilateral transactions and the non-marketization of spot transactions has become increasingly prominent, thus the construction of the day-ahead electricity market is imminent. A bilateral game model is established with the incomplete information between power supply and demand sides in the day-ahead electricity market, which is aimed to provide a practical game scheme for both sides in the power transactions, so that both sides can obtain the greatest benefits in the power market. The model takes the direct power purchase price and amount as the key points of the game. For the part of the direct power purchase price, the generation cost factor is introduced and the co-integration theory is used to construct the relationship model between the direct power purchase price and the generation cost considering the error correction. The part of the direct electricity purchase amount is predicted by similar day method. Finally, the Nash equilibrium is used to find the solution of the bilateral game and the effectiveness of the proposed model is proved by an example.
Identification of Potential Harmful Behaviors in Electricity Market Based on Cloud Model and Fuzzy Petri Net
LIU Dunnan , ZHANG Qian , LI Xiaotong , GU Yugui , TAN Zhongfu
2019, 43(2): 25-33.DOI: 10.7500/AEPS20180405004
[Abtract](106)[PDF](53)
Abtract:
To solve the problem of identification and control of potential harmful transactions in electricity market, a method for identifying potential harmful behaviors based on the cloud model and the fuzzy Petri net is proposed to realize real-time warning of potential hazards in the transaction process. The cloud model and the fuzzy Petri net are applied to pattern recognition, which effectively solves the problem that the potential hazard behavior is difficult to quantify, and overcomes the defects that the general recognition method is not easy to understand. Firstly, a general framework and procedure for identifying potential harmful behaviors is designed. Secondly, two methods of building feature cloud based on reverse cloud generator and expert description are described. Meanwhile, a fuzzy Petri net structure and recognition algorithm for potential harmful behaviors is designed. Finally, an example is made and analyzed by using the real transaction data of monthly auction market in Jiangxi Province, which shows the results given by the proposed method are highly consistent with the results obtained by artificial analysis and actual data.
Multi-objective Planning for Anti-disaster Backbone Grid Considering Economics and Network Frame Performance
HAN Chang , LIN Zhenzhi , YANG Li , CAI Jingdong , LYU Yunfeng , ZHANG Suming
2019, 43(2): 34-41.DOI: 10.7500/AEPS20180313002
[Abtract](112)[PDF](58)
Abtract:
In order to enhance the power supply capability and disaster resistance ability of power systems under extreme natural disasters, a multi-objective planning method of anti-disaster backbone grid is proposed with the guarantee rate of the load requirements, security operation constraints of the power system and connectivity of the network topology satisfied. In the proposed strategy, a multi-objective planning model of anti-disaster backbone grid, in which the reinforce cost of differential planning, the efficiency of power resupply after a disaster and the ability of the backbone grid to resist the disaster are considered comprehensively, is constructed for maximizing economics, resilience and network survivability. The graph repair strategy is utilized in comprehensive learning particle swarm optimization algorithm, which increases the feasible solution space of the algorithm. Then, the mixed strategy Nash equilibrium, which can balance the benefit of each objective function, is adopted to extract the best compromise solution with the optimal equilibrium value from the Pareto fronts obtained by the algorithm. The feasibility of the proposed method is verified by the numerical results of a regional power grid in Guangdong Province.

Editors Recommend

Bilateral Game Model of Power Supply and Demand Sides with Incomplete Information in Day-ahead Electricity Market
JIANG Wei , WU Jie , FENG Wei , DUAN Xiaofeng , TANG Haibo , WU Lei
2019, 43(2): 18-24.DOI: 10.7500/AEPS20180615003
[Abtract](208)[PDF](116)
Abtract:
With the in-depth development of the direct power purchase by large consumers, the contradiction between the marketization of medium-long term bilateral transactions and the non-marketization of spot transactions has become increasingly prominent, thus the construction of the day-ahead electricity market is imminent. A bilateral game model is established with the incomplete information between power supply and demand sides in the day-ahead electricity market, which is aimed to provide a practical game scheme for both sides in the power transactions, so that both sides can obtain the greatest benefits in the power market. The model takes the direct power purchase price and amount as the key points of the game. For the part of the direct power purchase price, the generation cost factor is introduced and the co-integration theory is used to construct the relationship model between the direct power purchase price and the generation cost considering the error correction. The part of the direct electricity purchase amount is predicted by similar day method. Finally, the Nash equilibrium is used to find the solution of the bilateral game and the effectiveness of the proposed model is proved by an example.
Review on Application of Artificial Intelligence in Power System and Integrated Energy System
YANG Ting , ZHAO Liyuan , WANG Chengshan
2019, 43(1): 2-14.DOI: 10.7500/AEPS20180706005
[Abtract](918)[PDF](745)
Abtract:
In order to promote the energy production and consumption revolution and build a clean, low-carbon, secure and efficient energy system, it is necessary to develop a new generation of power system and integrated energy system which are more intelligent. Artificial intelligence is one of the most disruptive technologies in the world, which has strong processing ability in computational intelligence, perceptual intelligence and cognitive intelligence. The application of artificial intelligence in power system and integrated energy system will change the traditional utilization mode of energy and promote the further intellectualization of the system. The contents of this review are as follows: the summary of artificial intelligence, the demand for artificial intelligence in power system and integrated energy system, and the various applications of artificial intelligence in the energy field. Finally, the paper presents the future challenges and opportunities faced by the energy field in the era of artificial intelligence.
Analysis on Blackout in Brazilian Power Grid on March 21, 2018 and Its Enlightenment to Power Grid in China
YI Jun , BU Guangquan , GUO Qiang , XI Gongwei , ZHANG Jianyun , TU Jingzhe
2019, 43(2): 1-6.DOI: 10.7500/AEPS20180812003
[Abtract](286)[PDF](159)
Abtract:
On March 21, 2018, a large-area blackout occurred in Brazilian power grid because of a series of chain reactions caused by a circuit breaker overload protection. As sequence, the northern and northeastern power grids were disconnected from the main power grid in Brazil, 14 states in north and northeast area came to blackout, and 9 states in south, southeast and midwest area were also affected. The operation status of Brazilian power grid before the accident and the cause, process and recovery of the blackout are introduced. It is pointed out that the main causes of the accident are the lack of necessary stability analysis before the accident, the defects in security control, the misoperation of protection and the unreasonable configuration of the third line of defense. Combined with the actual situation of power grid in China, some recommendations are put forward to ensure the safe and stable operation of the power grid and to prevent blackouts. For example, attention should be paid to the setting and operation of protection and control devices.
Machine Learning for Energy and Electric Power Systems: State of the Art and Prospects
CHENG Lefeng , YU Tao , ZHANG Xiaoshun , YIN Linfei
2019, 43(1): 15-31.DOI: 10.7500/AEPS20180814007
[Abtract](636)[PDF](526)
Abtract:
The new generation of artificial intelligence(AI), i. e. , AI2. 0, has become a research highlight in recent years. Among AI2. 0, machine learning(ML)as a typical representative is an algorithm category that completes predictions and judgments for optimal decision-making through analyzing and learning a large amount of existing or generated data. AI2. 0 is developing rapidly in China, and it has been preliminarily applied to the energy and electric power system(EEPS)that contains smart grid(SG)and energy interconnection(EI)fields. To this end, this paper takes ML in AI2. 0 as an example to review the current application of seven representative MLs in EEPS from aspects of dispatch optimization and control decision-making, including reinforcement learning, deep learning, transfer learning, parallel learning, hybrid learning, adversarial learning, and ensemble learning. Finally, the prospects for the future development of ML are conducted, trying to provide some reference for the theoretical, technical and application studies of AI2. 0, especially ML in the field of EEPS in the future.
Competitive Mechanism Design in Electricity Market Based on Fair Benefit Allocation
WANG Jianxiao , ZHONG Haiwang , XIA Qing , WANG Yang , LAI Xiaowen , GUO Xinzhi
2019, 43(2): 7-17.DOI: 10.7500/AEPS20180410009
[Abtract](210)[PDF](142)
Abtract:
Promoting the electricity price reform, and constructing a “fair, open, organized, competitive and complete” electricity market are critical tasks confronted by the new-round electric power system reform of China. At present, the foreign electricity markets generally adopt locational marginal prices(LMPs)for electricity market clearing. However, the existing theory and practice demonstrate that LMPs cannot incentivize market participants to be truth-telling, and cannot solve the problem of information asymmetry. To incentivize market participants to truthfully bid and thereby achieve an optimal allocation for electrical resources, a competitive mechanism in electricity markets is proposed based on fair benefit allocation. Firstly, the phenomenon and reason why the LMP mechanism cannot elicit truthful information while leading to market efficiency loss are analyzed. Then based on Vickrey-Clarke-Groves(VCG)theory, a fair benefit allocation mechanism is proposed for day-ahead electricity markets, and it is proved that the proposed mechanism satisfies the properties of incentive compatibility, individual rationality and system cost minimization. The economic meaning why the proposed mechanism satisfies incentive compatibility is also explained. Case studies based on IEEE 30-bus and 118-bus systems validate the effectiveness of the proposed mechanism.

Copyright ©2018 Editorial Office of Automation of Electric Power Systems

Addr: No.19 Chengxin Avenue, Nanjing 211106, Jiangsu Province, P. R. China

Tel: 025-81093050 Fax: 025-81093040 E-mail: aeps@alljournals.cn

ICP备案号:苏ICP备09008660号

苏公网安备 32011502010891号