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.

Analysis on Variation of Frequency Probability Distribution and the Causes in the Actual Power Grid
XIONG Wei , YAN Faqi , WANG Yang , LUO Shenzeng , CHEN Wenzhe , CHEN Lei
2019/11/19 15:43:06  DOI: 10.7500/AEPS20190823006
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The probability distributions of frequencies of an actual regional power grid and the causes are analyzed based on the massive actual measurements. In the interconnected mode, the probability distribution changes from band distribution with shape edges to bimodal distribution. The cause is that increasing standard deviation of system power imbalance leads to severer frequency fluctuation, and the primary frequency control acts frequently to form the bimodal distribution. In the isolated mode, the probability distribution is obvious bimodal distribution. The cause is that the decrease of grid scale leads to severer frequency fluctuation. The key work of improving frequency control of the power grid is enhancing ultra-short term forecast and intraday generation plan to reduce the power imbalance.
Single-phase Dynamic Voltage Restorer Based on Bipolar Direct AC/AC Conversion
WANG Yibo , CAI Guowei , LIU Chuang , GUO Dongbo , WANG Peng , ZHU Bingda
2019/11/19 15:03:09  DOI: 10.7500/AEPS20190409006
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Dynamic voltage restorer (DVR) is a power electronic device connected in series with source and load, which is used to rapidly compensate voltage fluctuation in the power system. However, due to the energy storage equipment, the conventional DVR based on voltage source inverters (VSIs) has some shortcomings. And DVR based on direct AC/AC conversion with pulse width modulation (PWM) has the shortages of commutation problem and voltage balance of flying capacitor. Therefore, this paper proposes a single-phase DVR based on bipolar direct AC/AC conversion. The AC/AC converter topology with PWM used in the proposed DVR has the characteristics of common grounding between the input and output ports. In addition, the proposed DVR can achieve bipolar voltage regulation under a simple control strategy and solve the commutation problem during operation effectively. In order to verify the engineering value of the proposed DVR, a 1 kW experimental platform has been built to verify its rationality and effectiveness on the basis of theoretical analysis.
Allocation Scheme of Carbon Emission Rights for Power Industry Considering Multi-correlated Factors
PAN Xianxian , YU Mengze , SUI Yu , HUAN Jiajia , HONG Haifeng , LIN Li
2019/11/19 10:50:00  DOI: 10.7500/AEPS20190606001
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The electric power industry plays an important role in the action of reducing emissions. The initial allocation of carbon emission rights for the electric power industry is the basis and key to ensuring the effective operation of the carbon trading market. Through the mining of the characteristics of the carbon emissions in electric power industry, the index decomposition is carried out to extract the multi-correlated factors that affect the carbon emission allocation system. Secondly, based on the knowledge and experience of experts, the subjective weight of each indicator is determined based on the improved analytic hierarchy process. Then, the improved entropy weight method is used to map the indicators, and the objective weights of each indicator is determined adaptively. Finally, through the optimized combination of subjective and objective weights, the comprehensive weights of each indicator are determined. A case study of a province using comparative simulation analysis is performed to examine the effectiveness of the proposed method. Compared with the traditional scheme that considering single factor, the proposed model that considers multi-correlated factors can reflect the actual responsibilities of regional carbon emission reduction more objectively. The allocation scheme obtained using the proposed method gives prominence to the inherent attribute differences within the sample data, and pays enough attention to the expert experience. It avoids overly subjective or overly objective one-sided evaluation results.
Security Region for Smart Distribution System Considering Distributed Generator and Demand Response
ZU Guoqiang , XIAO Jun , MU Yunfei , ZHU Xiaohui , YAO Ying , JI Dalong
2019/11/19 10:08:34  DOI: 10.7500/AEPS20190617001
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The China urban power grid is evolving to smart distribution grid, of which the operating circumstance will be more complicated. Security region is a new method for the distribution system operating. This paper studies the smart distribution system security region (DSSR) from the view of user load, taking two main elements into account, which are distributed generation (DG) and demand response (DR). Firstly, it analyzes and formulates the characteristics of security operating for distribution systems with DG and DR then the DSSR with DG and DR is modeled. It observes the DSSR 2D sections on case grids and studies the mechanism of DG and DR on DSSR, based on which the guidance for the distribution system planning and operating is proposed. The DSSR in this paper is consistent with the usual practice of dispatchers and could be a useful tool of the security monitoring and analysis for urban power grids, in which the user load service is more important than the service of DG and DR.
Planning of Energy Station and Pipeline Considering Topological Characteristics of Regional Integrated Energy System
XU Chengsi , DONG Shufeng , WU Jincheng , HAN Rongjie , SHOU Ting , LI Jianbin
2019/11/13 17:40:06  DOI: 10.7500/AEPS20190520010
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In order to scientifically determine the number and location of energy stations and the distribution of energy supply pipelines in regional integrated energy system, the planning method of energy stations and pipelines considering topological characteristics of regional integrated energy system is proposed. Firstly, the topological characteristics of regional integrated energy system are summarized. According to the urban planning scheme and the geographic information system, the optional energy station sites and pipeline channels are obtained. Secondly, a topological description model of energy system is established based on energy flow balance constraints and heating network characteristics. To minimize the cost of initial construction and later operation, the layout planning model of energy station and energy supply pipeline is established, and orthogonal polynomial approximation is used to simplify the optimization model. The simulation results show that the proposed method could obtain a more economical planning scheme.
专辑:大电网智能调度与安全预警
Guest Chief Editor's Note
XU Hongqiang , YAO Jianguo
2019, 43(22): 1-2.DOI:
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Guest Chief Editor's Note
XU Hongqiang , YAO Jianguo
2019, 43(22): 1-2.DOI: 10.7500/AEPS20190928006
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Distributed Robust Unit Commitment with Energy Storage Based on Forecasting Error Clustering of Wind Power
SHI Yunhui , WANG Luyu , CHEN Wei , GUO Chuangxin
2019, 43(22): 3-12.DOI: 10.7500/AEPS20190505006
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In order to solve the problem of power system dispatching caused by wind power uncertainty, this paper proposes a distributed robust model for unit commitment with energy storage based on forecasting error clustering of wind power. Firstly, based on the Dirichlet process Gaussian mixture model(DPGMM), the wind power forecasting error is clustered to establish a data-driven fuzzy set of wind power forecasting error. The uncertainty set considering the correlation of wind power forecasting errors between wind farms is further established. Then, a distributed robust unit commitment model considering energy storage is proposed, and an objective function considering the cyclic aging of the energy storage system is established. Then the model with the min-max-max-min structure is decomposed into a two-stage problem. In the first stage, the operation region variable, the climbing event constraint and the energy constraint of energy storage are introduced to eliminate the dynamic constraints at the second stage. The second stage problem is transformed into a single-layer problem by KKT condition, and the two-stage problem is solved by the column and constraint generation(C&CG)algorithm. Finally, the robustness and effectiveness of the proposed model are proved by the example analysis based on IEEE 6-bus and IEEE 118-bus systems.
Robust Unit Commitment Considering Uncertainties of Wind and Energy Intensive Load Dispatching
JIN Hongyang , SUN Hongbin , NIU Tao , GUO Qinglai , WANG Bin
2019, 43(22): 13-20.DOI: 10.7500/AEPS20181012003
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To alleviate the problem of abandoned wind, the coordination between wind and energy intensive loads has been conducted in Gansu power system of China. However, the active power of energy intensive loads, like electric arc furnaces, is under continuous fluctuations during operations, which will influence the automatic generation control(AGC)system of the local grid. To investigate the impact of uncertainty in energy intensive loads on the aforementioned coordination, this paper proposes a robust unit commitment method to take the uncertainties of wind and energy intensive loads into consideration simultaneously. The proposed model illustrates the relevance between the active power fluctuation and the status of electric arc furnaces. The robust method minimizes the conditional values at risk of the load and wind curtailment, under the uncertainties of both wind and energy intensive loads, and the uncertainty of the loads is well considered in the coordination between wind and energy intensive loads. The proposed method is verified in IEEE RTS-79 system and the impacts of uncertainty of energy intensive loads on power system scheduling are also analyzed.
Coordinated Scheduling Model with Multiple Time Scales Considering Response Uncertainty of Flexible Load
ZHAO Dongmei , SONG Yuan , WANG Yunlong , YIN Jiafu , XU Chunlei
2019, 43(22): 21-30.DOI: 10.7500/AEPS20190428008
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Aiming at the uncertainty of flexible load and response characteristics of different kinds of flexible loads with multiple time scales, a coordinated scheduling model with multiple time scales considering the response uncertainty of flexible load is proposed. Firstly, the actual response model of price-based demand response(DR)is established on the basis of the principle of consumer psychology and the change law of response uncertainty for flexible load. Secondly, the incentive mechanism for incentive DR is established considering the actual response error. Then the response models for the transferable loads, reducible loads and shiftable loads are established based on the above uncertainty analysis. Finally, from the view of coordination with multiple time scales, the coordinated scheduling model in time scales of day-ahead, intraday and real-time is constructed to coordinate flexible loads, conventional units and wind power. The fuzzy chance constrained programming and mixed integer programming are used to solve the problem. The effectiveness of the model is demonstrated with case studies. The results show that the model is beneficial for peak load shifting and wind power consumption, and can reduce the dispatching cost of power grid by coordinated optimization with mutiple time scales considering response uncertainty of flexible load.

Editors Recommend

Research and Application of Architecture and Key Technologies for Power Grid Real-time Dispatching and Control Data Platform
XU Hongqiang , SUN Shiming , GE Zhaoqiang , QU Gang , SUN Yunfeng , WANG Xingzhi , SUN Wenyan
2019, 43(22): 157-164.DOI: 10.7500/AEPS20190730004
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Integrated and interconnected bulk power grid puts forward new challenges to the global and real-time data of the existing dispatching automation system. This paper puts forward the architecture and construction principle of the power grid dispatching an control real-time data platform. On this basis, some key technologies such as online synchronization of power grid model, distributed data collection and processing, large-scale parallel state estimation, unified service of real-time data are studied. And single-point acquisition and sharing of real-time data in the entire network are realized based on automatic model synchronization without maintenance. The power grid real-time dispatching and control data platform is piloted in the national electric power dispatching and control subcenter. The application results show that the proposed scheme improves the globality, real-time capability, operation and maintenance efficiency of real-time data aggregation, and it could provide comprehensive, real-time and accurate snapshots of real-time data and state estimation data in the entire power grid for power grid analysis and decision-making applications.
Online Transient Stability Fault Screening Based on Support Vector Machine
BAO Yanhong , FENG Changyou , REN Xiancheng , ZHANG Jinlong , MA Chao , SHAO Wei
2019, 43(22): 52-58.DOI: 10.7500/AEPS20190507005
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To meet the timeliness requirements of online transient stability assessment, a fault screening method based on support vector machine(SVM)and historical big data is proposed. Combined with the transient stability quantitative evaluation method of extended equal-area criterion(EEAC)and based on the system power angle stability mode and the generator participation factor, the feature variables are identified and the historical data are clustered. The instable samples are predicted by classification and regression. The predicted stability margin, classification stability prediction results and reliability are obtained by the applicability discrimination and model matching. Interactive parallel computing is used to screen online transient stability faults, which could avoid the inherent misjudgment of transient stability assessment by using SVM method. The effectiveness of the method is verified by an actual case.
Architecture of Steady-state Adaptive Cruise Scenario for Large-scale Power Grid Dispatching
YAO Jianguo , WANG Ke , XU Dan , GE Zhaoqiang , WU Bingxiang , YANG Shengchun
2019, 43(22): 179-186.DOI: 10.7500/AEPS20190619011
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As the command center and “decision brain” of operation and control for power grid, automation and intelligence of power dispatching and control center need to be improved urgently. In this context, an architecture of steady-state adaptive cruise scenario(SSACS)for the new generation power grid dispatching is proposed. In the horizontal direction, function links such as situational awareness, evaluation, decision and control are flexibly combined and intelligently linked. In the vertical direction, task-oriented collaborative control of multi-level dispatching is realized. On the basis of introducing the scenario concept of the new generation power grid dispatching and control system, the function modules of the SSACS for large-scale power grid dispatching are designed. The trial operation on the prototype system verifies the rationality of the design.
Analysis of UHVDC Line Protection Principle and Operation Strategy
DAI Zhihui , ZHANG Cheng , LIU Ningning , CAO Hong , JIAO Yanjun
2019, 43(21): 1-11.DOI: 10.7500/AEPS20181229004
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Firstly, according to the characteristics of ultra-high voltage direct current(UHVDC)transmission, the higher requirements for the protection of HVDC transmission lines are analyzed in terms of complex grid structure, flexible operation mode and longer transmission distance. Secondly, based on engineering application status, the research progress of UHVDC line protection principles based on single-terminal and double-terminal quantities is elaborated, and the involved methods are summarized. Subsequently, UHVDC line protection operation strategies are summarized, and the line recovery logic is introduced specifically. Finally, issues on DC line protection to be further addressed, as well as possible solutions, are rendered on the basis of legacy researches.
Comprehensive Analysis Platform of Load Characteristics Based on Extendable and Interactive Design
WANG Shouxiang , DENG Xinyu , CHEN Haiwen , GUO Luyang , ZHI Yawei , LI Zhixin
2019, 43(20): 176-182.DOI: 10.7500/AEPS20190126004
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Load characteristic analysis based on multi-source data can improve the intelligence level of power distribution and utilization, and provide guidance for socio-demographic information identification, load monitoring and demand response analysis. In order to increase the convenience of the development of the above functions and improve the comprehensive analysis ability of power distribution, an interactive comprehensive analysis platform with load characteristic analysis function as the core, which can expand advanced functions, is built. The platform adopts Browser/Server architecture, which can cross platforms and adapt multiple terminals to realize one-time design and global use. At the same time, Django framework is used to realize extensible design, and a variety of algorithms and data are integrated to provide convenience for analysis. It realizes interactive design based on HTML5 technology and improves the visualization level of the platform under the background of big data through Canvas rendering scheme. The effectiveness and superiority of the comprehensive analysis platform are verified by a test case of day-ahead load forecasting.

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