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Development and Application of On-line Wind power Risk Assessment System

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电力系统自动化 2012年第8期36卷 161-165页

作者： Su, Feng Zhou, Xiaoxin Yu, Haiguo Xian, Wenjun Lü, Ying Ren, Lingyu power System Department China Electric Power Research Institute Beijing 100192 China Qinghai electric power dispatch center Xining 810008 China

Because of the large-scale integration of wind power,the dynamic characteristics of power system have many uncertain *** on deterministic analysis methods,traditional on-line security assessment system cannot quantitatively estimate the actual operating conditions of the power system for only considering the most serious and credible ***,the risk theory is introduced into an on-line security assessment system and then an on-line risk assessment system for wind power is designed and implemented by combining with the dynamic security assessment *** on multiple data integration,the wind power disturbance probability is available and the security assessment of the power grid can obtain security indices in different *** operating risk index is an expectation of severity,computed by summing up all the products of the result probability and its *** results are reported to the dispatchers in on-line environment,while the comprehensive weak links are automatically provided to the power dispatching *** risk assessment system in operation can verify the reasonableness of the system.

关键词：安全评估系统风力发电系统风险理论应用开发定性分析方法动态安全评估电力调度中心

Online coherence identification using dynamic time warping for controlled islanding

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Journal of Modern power Systems and Clean Energy 2019年第1期7卷 38-54页

作者： Hasan Ul BANNA Zhe YU Di SHI Zhiwei WANG Dawei SU Chunlei XU Sarika Khushalani SOLANKI Jignesh M.SOLANKI GEIRI North America Department of CSEE West Virginia University Grid dispatch center State Grid Jiangsu Electric Power Company

Controlled islanding is considered to be the last countermeasure to prevent a system-wide blackout in case of cascading *** splits the system into self-sustained islands to maintain transient stability at the expense of possible loss of *** coherence identification is critical to controlled islanding scheme as it helps identify the optimal cut-set to maintain the transient stability of the post-islanding *** paper presents a novel approach for online generator coherency identification using phasor measurement unit(PMU) data and dynamic time warping(DTW).Results from the coherence identification are used to further cluster non-generator buses using spectral clustering with the objective of minimizing power flow *** proposed approach is validated and compared to existing methods on the IEEE39-bus system and WECC 179-bus system, through which its advantages are demonstrated.

关键词： Coherence identification Constrained spectral clustering Controlled islanding Dynamic time warping Phasor measurement unit measurement

Generation maintenance scheduling based on multiple objectives and their relationship analysis

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Journal of zhejiang University-Science C(Computers and Electronics) 2014年第11期15卷 1035-1047页

作者： Jun-peng ZHAN Chuang-xin GUO Qing-hua WU Lu-liang ZHANG Hong-jun FU College of electrical Engineering Zhejiang University Department of electrical Engineering and Electronics University of Liverpool Liverpool L69 3GJ UK School of electric power Engineering South China University of Technology power dispatch and Control center Henan Electric Power Company

In a market environment of power systems, each producer pursues its maximal profit while the independent system operator is in charge of the system reliability and the minimization of the total generation cost when generating the generation maintenance scheduling(GMS). Thus, the GMS is inherently a multi-objective optimization problem as its objectives usually conflict with each other. This paper proposes a multi-objective GMS model in a market environment which includes three types of objectives, i.e., each producer's profit, the system reliability, and the total generation cost. The GMS model has been solved by the group search optimizer with multiple producers(GSOMP) on two test systems. The simulation results show that the model is well solved by the GSOMP with a set of evenly distributed Pareto-optimal solutions obtained. The simulation results also illustrate that one producer's profit conflicts with another one's, that the total generation cost does not conflict with the profit of the producer possessing the cheapest units while the total generation cost conflicts with the other producers' profits, and that the reliability objective conflicts with the other objectives.

关键词： Generation maintenance scheduling Market environment Multi-objective optimization

Evaluation of Multi-Temporal-Spatial Scale Adjustment Capability and Cluster Optimization Operation Method for Distribution Networks with Distributed Photovoltaics

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Energy Engineering 2024年第9期121卷 2655-2680页

作者： Jiaxin Qiao Yuchen Hao Yingqi Liao Fang Liang Jing Bian Northeast electric power University Key Laboratory of Modern Power System Simulation and Control&Renewable Energy TechnologyMinistry of EducationJilin132011China State Grid Jiangsu electric power Co. Ltd.Power Dispatch Control CenterNanjing210017China State Grid Jiangsu electric power Co. Ltd.Nanjing Power Supply BranchPower Dispatch Control CenterNanjing210019China

Themassive integration of high-proportioned distributed photovoltaics into distribution networks poses significant challenges to the flexible regulation capabilities of distribution *** accurately assess the flexible regulation capabilities of distribution stations,amulti-temporal and spatial scale regulation capability assessment technique is proposed for distribution station areas with distributed photovoltaics,considering different geographical locations,coverage areas,and response ***,the multi-temporal scale regulation characteristics and response capabilities of different regulation resources in distribution station areas are analyzed,and a resource regulation capability model is established to quantify the adjustable range of different regulation *** this basis,considering the limitations of line transmission capacity,a regulation capability assessment index for distribution stations is proposed to evaluate their regulation ***,considering different geographical locations and coverage areas,a comprehensive performance index based on electrical distance modularity and active power balance is established,and a cluster division method based on genetic algorithms is proposed to fully leverage the coordination and complementarity among nodes and improve the active power matching degree within ***,an economic optimization model with the objective of minimizing the economic cost of the distribution station is established,comprehensively considering the safety constraints of the distribution network and the regulation constraints of *** model can provide scientific guidance for the economic dispatch of the distribution station ***,case studies demonstrate that the proposed assessment and optimization methods effectively evaluate the regulation capabilities of distribution stations,facilitate the consumption of distributed photovoltaics,and enhance the economic efficiency of th

关键词： Distributed photovoltaic distribution station area assessment of adjustment capacity line transmission capacity economic optimization

Improved particle swarm optimization algorithm for multi-reservoir system operation

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Water Science and Engineering 2011年第1期4卷 61-73页

作者： Jun ZHANG Zhen WU Chun-tian CHENG Shi-qin ZHANG zhejiang electric power dispatching and communication center Hangzhou 310007 R R. China Department of Civil and Hydraulic Engineering Dalian University of Technology Dalian 116024 P. R. China Fujian electric power dispatching and communication center Fuzhou 350003 R R. China

In this paper, a hybrid improved particle swarm optimization （IPSO） algorithm is proposed for the optimization of hydroelectric power scheduling in multi-reservoir systems. The conventional particle swarm optimization （PSO） algorithm is improved in two ways：（1） The linearly decreasing inertia weight coefficient （LDIWC） is replaced by a self-adaptive exponential inertia weight coefficient （SEIWC）, which could make the PSO algorithm more balanceable and more effective in both global and local searches. （2） The crossover and mutation idea inspired by the genetic algorithm （GA） is imported into the particle updating method to enhance the diversity of populations. The potential ability of IPSO in nonlinear numerical function optimization was first tested with three classical benchmark functions. Then, a long-term multi-reservoir system operation model based on IPSO was designed and a case study was carried out in the Minjiang Basin in China, where there is a power system consisting of 26 hydroelectric power plants. The scheduling results of the IPSO algorithm were found to outperform PSO and to be comparable with the results of the dynamic programming successive approximation （DPSA） algorithm.

关键词： particle swarm optimization self-adaptive exponential inertia weight coefficient multi-reservoir system operation hydroelectric power generation Minjiang Basin

Challenges and Improvements of Wind power dispatch in Northwest China

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电力系统自动化 2012年第8期36卷 166-170页

作者： Geng, Jian Peng, Mingqiao Zhang, Kaifeng Gao, Zonghe Dai, Zemei Bai, Xingzhong State Grid electric power Research Institute Nanjing 210003 China electric power Research Institute of China Beijing 100192 China Northwest State Grid dispatch center Xi'an 710048 China School of Automation Southeast University Nanjing 210018 China

Besides common characteristics of wind power,there are some special characteristics in China power system,including large-scale,long distance transmission and lack of flexible regulating power *** special characteristics make power dispatch more challenging in *** studies have been carried out and some improvements are presented including wind power monitoring and control as well as evaluation of wind power integration *** a demonstration project,the technologies are integrated into the energy management system and are implemented in the Northwest China power *** provide effective measures for wind power dispatch in the grid.

关键词：中国西北地区风力发电发电调度能源管理系统电力系统电力调度长距离传输集成能力

Multi-Lever EarlyWarning forWind and Photovoltaic power Ramp Events Based on Neural Network and Fuzzy Logic

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Energy Engineering 2024年第11期121卷 3133-3160页

作者： Huan Ma Linlin Ma Zengwei Wang Zhendong Li Yuanzhen Zhu Yutian Liu power Grid Technology center State Grid Shandong Electric Power Research InstituteJinan250003China Shandong electric power dispatching and Control center State Grid Shandong Electric Power CompanyJinan250012China Key Laboratory of power System Intelligent dispatch and Control of Ministry of Education Shandong UniversityJinan250061China

With the increasing penetration of renewable energy in power system,renewable energy power ramp events(REPREs),dominated by wind power and photovoltaic power,pose significant threats to the secure and stable operation of power *** paper presents an early warning method for REPREs based on long short-term memory(LSTM)network and fuzzy ***,the warning levels of REPREs are defined by assessing the control costs of various power control ***,the next 4-h power support capability of external grid is estimated by a tie line power predictionmodel,which is constructed based on the ***,considering the risk attitudes of dispatchers,fuzzy rules are employed to address the boundary value attribution of the early warning interval,improving the rationality of power ramp event early *** results demonstrate that the proposed method can generate reasonable early warning levels for REPREs,guiding decision-making for control strategy.

关键词： Early warning machine learning power system security renewable energy power ramp event smart grid

Partitioning Calculation Method of Short-Circuit Current for High Proportion DG Access to Distribution Network

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Energy Engineering 2024年第9期121卷 2569-2584页

作者： Wei Wang Qingzhu Shao Shaoliang Wang Yiwei Zhao Yuanbo Ye Duanchao Li Mengyu Wu Anhui electric power dispatch and Control center State Grid Anhui Electric Power Co.Ltd.Hefei230000China School of electrical Engineering Beijing Jiaotong UniversityBeijing100000China

Aiming at the problemthat the traditional short-circuit current calculationmethod is not applicable to Distributed Generation(DG)accessing the distribution network,the paper proposes a short-circuit current partitioning calculation method considering the degree of voltage drop at the grid-connected point of ***,the output characteristics of DG in the process of low voltage ride through are analyzed,and the equivalent output model of DG in the fault state is ***,by studying the network voltage distribution law after fault in distribution networks under different DG penetration rates,the degree of voltage drop at the grid-connected point of DG is used as a partition index to partition the distribution ***,iterative computation is performed within each partition,and data are transferred between partitions through split nodes to realize the fast partition calculation of short-circuit current for high proportion DG access to distribution network,which solves the problems of long iteration time and large calculation error of traditional short-circuit ***,a 62-node real distribution network model containing a high proportion of DG access is constructed onMATLAB/Simulink,and the simulation verifies the effectiveness of the short-circuit current partitioning calculation method proposed in the paper,and its calculation speed is improved by 48.35%compared with the global iteration method.

关键词： High proportion DG short-circuit calculation low voltage ride through partition iteration

Inter-Provincial Transaction Model in Two-Level electricityMarket Considering Carbon Emission and Consumption Responsibility Weights

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Energy Engineering 2023年第10期120卷 2393-2416页

作者： Chunlei Jiao HongyanHao Ming Li Rifucairen Fu Yichun Liu Shunfu Lin Ronghui Liu electric New power System Technology Research Institute The Electric Power Research Institute of State Grid Xinjiang Electric Power Co.Ltd.Urumqi830000China power dispatch Control center State Grid Xinjiang Electric Power Co.Ltd.Urumqi830063China College of electrical Engineering Shanghai University of Electric PowerShanghai200090China

In the context of the joint operation of China’s intra-provincial markets and inter-provincial trading,how to meet the load demand and energy consumption using inter-provincial renewable energy trading is a key *** combined operation of intra-provincial and inter-provincial markets provides a new way for provincial power companies to optimize and clear the intra-provincial power market,complete the intra-provincial consumption responsibility weight index,and consume renewable energy across provinces and *** paper combines power generation and consumption within the province,uses inter-provincial renewable energy trading tomeet the load demand within the province and completes the index of intra-provincial consumption responsibility *** intra-provincial market trading and inter-provincial market clearing are respectively taken as the upper and lower levels of the *** the two-level electricity market operation framework,the upper-level model aims to minimize the expected total operating cost within the province considering the carbon emission cost and the weight of the consumption responsibility,while the lower-level model aims to minimize the inter-provincial renewable energy purchasing ***,the influence of inter-provincial transaction mechanism,risk aversion coefficient,voucher price,and responsibility weight on operating cost is *** is used to verify that the proposed model can meet the requirements of the provincial load power consumption and the consumption responsibility weight index,and promote the consumption of renewable energy.

关键词： Consumption responsibility weights electricity market carbon emission transactions between provinces