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作者： Bo Xu Yumin Zhang Kongming Sun State Grid Energy Research Institute Co. Ltd. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University State Grid Shandong Electric Power Research Institute

This paper investigates the impact of opportunistic maintenance strategy on power equipment maintenance scheduling under economic *** model focuses on power equipment with two types of failures:random failure and deterioration *** previous research which didn't consider opportunistic maintenance between different failures modes,opportunistic maintenance strategy is proposed in this *** the opportunistic maintenance strategy,whenever random failure occurs,decision has to be made on whether deterioration failure is preventively maintained based on the degree of equipment deterioration and economic ***,Markov process is used to describe equipment state-space *** then,in order to determine the optimal inspection rate,preventive maintenance threshold and opportunistic maintenance threshold of power equipment,the analytical expressions of inspection cost,maintenance cost,repair cost and outage cost are ***,the total cost is minimized to get the optimal maintenance *** studies demonstrate the feasibility of the proposed model.

关键词： Maintenance Scheduling of power Equipment Considering Opportunistic Maintenance Strategy

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Parameter extraction of solar photovoltaic models by means of a hybrid differential evolution with whale optimization algorithm

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SOLAR ENERGY 2018年 176卷 742-761页

作者： Xiong, Guojiang Zhang, Jing Yuan, Xufeng Shi, Dongyuan He, Yu Yao, Gang Guizhou Univ Coll Elect Engn Guizhou Key Lab Intelligent Technol Power Syst Guiyang 550025 Guizhou Peoples R China Huazhong Univ Sci & Technol State Key Lab Adv Electromagnet Engn & Technol Wuhan 430074 Hubei Peoples R China Guizhou Elect Power Grid Dispatching & Control Ct Guiyang 550002 Guizhou Peoples R China

Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear multivariable strongly coupled optimization problem. The original differential evolution (DE) is good at exploring the search space and locating the region of global optimum, but it is slow at exploitation of the solutions. Quite the opposite, the original whale optimization algorithm (WOA) is good at exploiting the population information, but it easily suffers from premature convergence. In such a context, in this paper, an effective hybrid method named DE/WOA by combining the exploration of DE with the exploitation of WOA is proposed for extracting the accurate parameters of PV models. A set of 13 numerical benchmark functions with different characteristics is firstly employed to verify the performance of DE/WOA. Then, DE/WOA is applied to parameter extraction of three PV models, i.e., single diode, double diode, and PV module models. Finally, DE/WOA is implemented to a practical PV power station in the Guizhou power grid of China to further validate its effectiveness under different irradiances, temperatures, and dynamic weather conditions. All the experimental results comprehensively demonstrate that DE/WOA performs significantly better than the original DE, WOA, and five advanced variants of them and is highly competitive with some recently-proposed parameter extraction methods.

关键词： Solar photovoltaic Parameter extraction Differential evolution Whale optimization algorithm

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A binary coded brain storm optimization for fault section diagnosis of power systems

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ELECTRIC power SYSTEMS RESEARCH 2018年第PartA期163卷 441-451页

作者： Xiong, Guojiang Shi, Dongyuan Zhang, Jing Zhang, Yao Guizhou Univ Guizhou Key Lab Intelligent Technol Power Syst Coll Elect Engn Guiyang 550025 Guizhou Peoples R China Huazhong Univ Sci & Technol State Key Lab Adv Electromagnet Engn & Technol Wuhan 430074 Hubei Peoples R China Guizhou Elect Power Grid Dispatching & Control Ct Guiyang 550002 Guizhou Peoples R China

Fault section diagnosis (FSD) of power systems plays an important role in power system operation. In order to quickly and accurately diagnose the fault section or sections after the occurrence of an event, a novel variant of brain storm optimization (BSO) in objective space algorithm, referred to as BCBSO (binary coded BSO), is proposed in this paper. The FSD problem is transformed into a 0-1 integer programming problem. The difference between the reported alarms and the expected states of protective relays and circuit breakers is used as the objective function. In BCBSO, each population individual is directly encoded as a binary vector and thereby the transcoding process can be avoided when solving the 0-1 integer programming problem. In addition, logical operations instead of floating operations are employed for binary strings, making the evolutionary process more convenient. In order to verify the performance of BCBSO, three test systems, i.e., the typical 4-substation power system, IEEE 118-bus system, and a practical power grid in Jilin province of China with different fault scenarios including single fault and multiple faults with failed and/or malfunctioned protective devices are employed. Six popular metaheuristic methods including ABC, BBO, DE, GA, PSO, and BSO are utilized to validate the effectiveness of BCBSO. The experimental results comprehensively demonstrate the superiority of BCBSO in terms of successful rate, diagnosis error, robustness, computation efficiency, convergence speed, and statistics. In addition, the effect of population size is investigated as well.

关键词： Binary coded brain storm optimization Fault section diagnosis power system Logical operation

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Optimal Siting and Sizing of Wind Farm Considering Peak Load Regulation Capability of power System

Optimal Siting and Sizing of Wind Farm Considering Peak Load...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Xiuping Zhang Mingqiang Wang Xiaoyan Wang Yichen Song Yuqian Wu Shun Xie Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China State Grid Shandong Electric Power Company Construction Company Jinan China

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131382

Wind curtailment caused by lack of peak load regulation capability invalidates the large-scale installed wind energy capacity and results in low economic efficiency. Based on the daily fluctuation and seasonal operation pattern of wind power and load, this paper introduces two extreme scenarios to describe the impact of wind power integration on peak load regulation of power system. A wind farm planning model considering the peak load regulation capability is proposed. The objective of the model is to maximize the total profit with the system operation constraints considered. After solving the proposed model, the optimal construction site and size of wind farm can be obtained. Case study on IEEE 24-node 38-bus test system verifies the effectiveness of the proposed model.

关键词： Wind power generation Load modeling Wind farms power systems Planning Fluctuations Mathematical model

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Fault Cause Identification Method Based on Multi-Source Information Fusion for UHVDC Transmission Lines

Fault Cause Identification Method Based on Multi-Source Info...

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International Conference on Advanced power System Automation and Protection (APAP)

作者： Rongqi Fan Jing Li Ning Ge Kuan Li Zhiyuan Wang Huanhuan Yin State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Research Institute Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Jinan China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

This paper proposes a fault cause identification method based on multi-source information for UHVDC transmission lines. The multi-source fault information used in this paper includes voltage, current,weather, season, time period, terrain and historical fault information. Firstly, the method analyzes multi-source fault information to extract fault features. Then, the BP neural network is used to fuse the multi-source fault feature. The output of the BP neural network is the probability of failure causes. This method selects the fault type with the highest probability. The effectiveness and feasibility of the method in identifying different types of fault causes are demonstrated by case tests.

关键词： Fault diagnosis Lightning Feature extraction Pollution Flashover Fires Wind

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Optimal-Probabilistic Coordination of Directional Overcurrent Relays Considering Network Topological Uncertainties

Optimal-Probabilistic Coordination of Directional Overcurren...

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IEEE power and Energy Society General Meeting

作者： Jiawei Qi Jun Xie Xiejin Ling Yinhong Li Tongkun Lan State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China Central China Electric Power Dispatching and Control Sub-center of State Grid Corporation of China

The probability of each network topology occurring in an actual power system is entirely different. The relays coordination considering overall possible topology variations without corresponding probabilities tends to cause unsatisfactory performance of relay settings in operation and even difficulty in determining settings. In this paper, a novel method is proposed for optimal coordination of directional overcurrent relays (DOCRs) considering network topological uncertainties through its probabilistic model. The relays coordination problem is formulated as a multi-objective optimization problem with two objective functions. One is the conventional function that minimizes overall operating time of the relays, and the other is to minimize the probabilities of loss of selectivity under network topology variations. With the proposed method, the settings are satisfactorily determined with the minimum probability of losing selectivity. The method proposed in this paper has been applied to an 8-bus power system, and the results demonstrated the better robustness towards the network topology variations over the prevailing approaches.

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Distributed Hierarchical Fault Diagnosis Based on Sparse Auto-Encoder and Random Forest 4th

Distributed Hierarchical Fault Diagnosis Based on Sparse Aut...

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4th International Conference on Machine Learning and intelligent Communications, MLICOM 2019

作者： Li, Tong Song, Chunhe Liu, Yang Wang, Zhongfeng Yu, Shimao Su, Shanting Liaoning Electric Power Research Institute State Grid Liaoning Electric Power Co. Ltd. 110000 Shenyang China Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9783030323875

For the diagnosis of large-scale local devices, the traditional centralized fault diagnosis systems are becoming incompetent to meet the requirement of real-time monitoring. This paper proposes the Distributed hierarchical Fault Diagnosis System (DFDS). Specifically, DFDS implements fault monitoring by an improved Sparse Auto-Encoder (SAE) on the monitor layer, classifies faults and identifies unknown faults by an improved random forest on the classification layer, learns new knowledge and updates the system on the decision layer. We apply DFDS in the laboratory data of Case Western Reserve University to verify the efficiency of the proposed system. The experimental results show that our method can accurately detect the fault and accurately identify the fault type. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Fault detection

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Shaping Effect of Phase-locked Loop on Impedance Characteristics of PMSG Wind Turbines Connected to Weak-grid

Shaping Effect of Phase-locked Loop on Impedance Characteris...

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IEEE General Meeting power& Energy Society

作者： Feiya Wan Zhen Li Bin Liu Guanghui Li Xiaoliang Dong Xi Chen Samson S. Yu Amanullah M. T. Oo Zhenyu Shan Xiangdong Liu School of Automation and Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology Beijing China China Electric Power Research Institute Beijing China State Grid Corporation of China and North China Branch of State Grid Corporation of China Beijing China GEIRI North America USA School of Engineering Deakin University 75 Pigdon Rd Waurn Ponds Victoria Australia School of Electrical and Control Engineering North China University of Technology Beijing China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

With the booming installed capacity of permanent magnet synchronous generator (PMSG) for wind energy generation, the grid becomes weaker and the oscillation events are frequently observed in weak-grid-tied large-scale grid-connected PMSG wind farms. Although the impedance-based method is effective to analyze the stability of grid-connected systems, the mathematical relationship between external impedance characteristics and the internal controllers has not been quantitatively analyzed in depth, which is beneficial to the controller design. This paper studies the influence of phase-locked loop (PLL) on the impedance characteristics based on the analytical sequence impedance model of PMSG with typical topology and control structure. The shaping effect of PLL on the impedance characteristics is described so as to clearly describe the relationship between the external impedance characteristics of the wind turbines and the internal controller. Finally, the stability analysis of the grid-connected PMSG wind turbine system is provided in Matlab and simulation results are given to verify the oscillating mechanism caused by PLL.

关键词： Synchronous generators Stability analysis Wind turbines Topology Impedance Phase locked loops Oscillators

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Emergency control Strategy for Line Overload Considering power Source and Load Fluctuation

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IOP Conference Series: Earth and Environmental Science 2021年第1期687卷

作者： Zhiqing Liu Fei Wang Jifu Qiu Fan Chen Zhipeng Lu Ming Chen Qingda Niu Xiaoming Dong State Grid Shandong Electric Power Company Jinan Shandong Province 250001 China Dezhou Electric Power Supply Company of State Grid Shandong Electric Power Electric Power Company Dezhou Shandong Province 253011 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Electric Power Company Qingdao Shandong Province 266002 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan Shandong Province 250061 China

Uncertain factors such as the integration of renewable energy into the grid and load fluctuations have brought more risks to the safe dispatch of the grid. The random power flow is used to calculate the impact of distributed power sources and load fluctuations on the grid, and to quantify the probability distribution of line power, which can avoid the drawbacks of deterministic power flow that cannot fully reflect the line overload risk. Combining the line overload level with the traditional load shedding method can effectively prevent the system from cascading failures caused by the risk of line overload, improve the optimistic calculation results caused by the load shedding strategy in emergency situations that cannot consider source load fluctuations, and make the grid control more safe and reliable.

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Application of Virtual Synchronous Generator in Solar power Generation 1

Application of Virtual Synchronous Generator in Solar Power ...

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1st International Conference on Advanced Algorithms and control Engineering, ICAACE 2018

作者： Su, Jianjun Li, Wenbo Liu, Hengjie Meng, Fanmin Wang, Long Han, Xueshan State Grid Shandong Electric Power Research Institute China State Grid Laiwu Power Supply Company China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

For the virtual synchronous control strategy of grid-connected inverters, the impact of the output response of the change of source is mainly analyzed, and the response time is calculated to lay a theoretical foundation for the system economic dispatch. First, the photovoltaic cell model is introduced, as well as the mathematical model and control strategy of the virtual synchronous generator. Then the optimal configuration of the source input is analyzed under different inertia and virtual damping conditions. The results show that the virtual inertia and damping coefficient of the inverter are closely related to the energy density and response time of the source input. Finally, a simple simulation model is given to observe the influence of the output change of the source on the response of the inverter output. © Published under licence by IOP Publishing Ltd.

关键词： Solar power generation

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