引用本文: | 侯 慧,徐 焘,肖振锋,等.基于重力储能的风光储联合发电系统容量规划与评价[J].电力系统保护与控制,2021,49(17):74-84.[点击复制] |
HOU Hui,XU Tao,XIAO Zhenfeng,et al.Optimal capacity planning and evaluation of a wind-photovoltaic-storage hybrid power system based on gravity energy storage[J].Power System Protection and Control,2021,49(17):74-84[点击复制] |
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摘要: |
合理规划风电场、光伏电站和储能的容量是保证风光储联合发电系统经济性及可靠性的前提。提出一种依托山体的重力储能形式,联合风电场、光伏电站,建立以系统成本最小为优化目标的并网型风光储联合发电系统容量优化规划模型。然后,提出风光互补特性、供电损失率、系统贡献率等评价指标,用以衡量容量优化规划结果。在算例中,基于分时电价场景,对考虑重力储能、蓄电池储能、压缩空气储能等不同储能形式的规划模型进行仿真对比。通过利用熵权法定权的秩和比评价方法对考虑不同储能形式的容量规划结果排序评价,验证了所提模型的科学性及有效性。 |
关键词: 重力储能 风光储联合发电系统 容量优化规划 评价指标 评价方法 |
DOI:DOI: 10.19783/j.cnki.pspc.201449 |
投稿时间:2020-11-24修订日期:2020-12-19 |
基金项目:国家自然科学基金项目资助(52177110);湖南省科技创新平台与人才计划项目资助(2019TP1053);国网湖南省电力公司科技项目资助(5216A220000F) |
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Optimal capacity planning and evaluation of a wind-photovoltaic-storage hybrid power system based on gravity energy storage |
HOU Hui,XU Tao,XIAO Zhenfeng,WU Yefan,LIU Haotian,CHEN Zhongwei |
(1. School of Automation, Wuhan University of Technology, Wuhan 430070, China; 2. Central Southern Electric Power Design
Institue, Wuhan 430070, China; 3. State Grid Hunan Electric Power Co., Ltd. Economic & Technical Research Institute,
Changsha 410004, China; 4. Hunan Key Laboratory of Energy Internet Supply-demand and Operation, Changsha 410004, China) |
Abstract: |
Reasonable capacity planning of wind farms, photovoltaic power stations and energy storage is a prerequisite to ensure the economy and reliability of a wind-photovoltaic-storage hybrid power system. In this paper, a form of gravity energy storage relying on mountains is proposed. Combined with a wind farm and photovoltaic power station, an optimal capacity planning model of a grid-connected system is established with the minimum costs of the system as the optimization goal. Then, evaluation indices such as the complementary characteristics of wind and solar, the loss rate of power supply and the contribution rate of the system are put forward to evaluate the planning results. In the example, based on the time-of-use electricity price, the capacity planning models considering different energy storage forms, such as gravity energy, battery energy and compressed air energy storage, are simulated and compared. The rank-sum ratio evaluation method with an entropy weight method is used to rank and evaluate the results, and the validity and scientific nature of the proposed model is verified.
This work is supported by the National Natural Science Foundation of China (No. 52177110), the Hunan Science and Technology Innovation Platform and Talents Program (No. 2019TP1053), and the Science and Technology Project of State Grid Hunan Electric Power Company (No. 5216A220000F). |
Key words: gravity energy storage wind-photovoltaic-storage hybrid power system optimal capacity planning evaluation index evaluation method |