引用本文:涂 炼,刘涤尘,廖清芬,朱振山,冀星沛.计及储能容量优化的含风光储配电网可靠性评估[J].电力自动化设备,2015,35(12):
TU Lian,LIU Dichen,LIAO Qingfen,ZHU Zhenshan,JI Xingpei.Reliability evaluation considering storage capacity optimization for distribution system with wind-PV-storage[J].Electric Power Automation Equipment,2015,35(12):
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计及储能容量优化的含风光储配电网可靠性评估
涂 炼, 刘涤尘, 廖清芬, 朱振山, 冀星沛
武汉大学 电气工程学院,湖北 武汉 430072
摘要:
采用改进准序贯蒙特卡洛法进行配电网可靠性评估,提出2个衡量储能平抑风光储联合发电系统有功功率波动的指标进行储能容量优化。结合储能容量优化结果,对比分析不同的风光储协调运行策略以及系统孤岛划分方案对配电网可靠性评估的影响。改造的IEEE RBTS BUS6算例分析表明:合理选择储能容量可以很好地平抑风光储联合发电系统的有功功率波动,同时减少能源浪费;风光储协调运行策略中,相比容量跟踪策略,负荷跟随策略可以提高系统的供电可靠性;不同的孤岛划分方案中,相比优先切除负荷量小的分散用电负荷,优先切除负荷量大的集中用电负荷,系统具有更高的供电可靠性。
关键词:  风电  光伏  储能  配电  容量优化  有功功率波动  孤岛运行  蒙特卡洛方法  可靠性
DOI:
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基金项目:国家电网公司总部科技项目(5211011400BT);国家自然科学基金资助项目(51347006)
Reliability evaluation considering storage capacity optimization for distribution system with wind-PV-storage
TU Lian, LIU Dichen, LIAO Qingfen, ZHU Zhenshan, JI Xingpei
School of Electrical Engineering,Wuhan University,Wuhan 430072,China
Abstract:
The improved pseudo-sequential Monte Carlo method is applied to evaluate the reliability of distribution system,and two indexes are proposed for the wind-PV-storage generation system to optimize the capacity of its energy storage for suppressing the active-power fluctuation. Based on the results of energy-storage optimization,the influence of different strategies for wind-PV-storage coordinated operation and islanding schemes on the evaluation of distribution system reliability is analyzed. The case analysis for a modified IEEE RBTS BUS6 system shows that,an appropriate energy-storage capacity may effectively suppress the active-power fluctuation of wind-PV-storage generation system while reduce the energy waste;compared with the capacity-tracking strategy,the load-following strategy of wind-PV-storage coordinated operation can improve the power-supply reliability of system;compared with the islanding scheme with small decentralized load shedding first,that with large centralized load shedding first has higher power-supply reliability of system.
Key words:  wind power  photovoltaic  energy storage  electric power distribution  capacity optimization  active-power fluctuation  islanding operation  Monte Carlo method  reliability

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