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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (10): 424-431.DOI: 10.19912/j.0254-0096.tynxb.2021-0314

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基于多储能技术经济性比较的可再生能源发电系统多目标容量优化

郭苏1, 何意2, 阿依努尔·库尔班1, 宋国涛1, 王豪威1, 裴焕金1   

  1. 1. 河海大学能源与电气学院,南京 211100;
    2. 河海大学水利水电学院,南京 210024
  • 收稿日期:2021-03-25 出版日期:2022-10-28 发布日期:2023-04-28
  • 通讯作者: 郭苏(1981——),女,博士、教授、博士生导师,主要从事含光热电站的多能互补系统方面的研究。guosu81@126.com
  • 基金资助:
    国家重点研发计划(2018YFE0128500); 华能集团总部科技项目(HNKJ20-H20); 中央高校业务费基金(B210202069)

MULTI-OBJECTIVE CAPACITY OPTIMIZATION OF RENEWABLE ENERGY POWER SYSTEM CONSIDERING TECHNO-ECONOMIC COMPARISONS OF VARIOUS ENERGY STORAGE TECHNOLOGIES

Guo Su1, He Yi2, Aynur Kurban1, Song Guotao1, Wang Haowei1, Pei Huanjin1   

  1. 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;
    2. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210024, China
  • Received:2021-03-25 Online:2022-10-28 Published:2023-04-28

摘要: 研究基于蓄电池、熔盐储热、抽水蓄能及储氢技术经济性比较的可再生能源发电系统多目标容量优化。该容量优化模型以最小化平准化度电成本及失负荷率为目标,应用4种代表性多目标进化算法进行求解。提出基于超体积的多目标算法综合评价指标,此外考虑了储能运行特性及资源不确定性提高仿真计算的准确性。算法性能比较结果表明,非劣排序遗传算法的平均排序等级为1.6,其具有最优的综合性能;储能的定量技术经济性比较结果表明,不同可靠性条件下熔盐储热系统的经济性均为最优;不同负荷曲线及不同资源水平的敏感性分析验证了储能经济性比较结果的有效性。

关键词: 可再生能源, 储能, 电力系统规划, 多目标优化

Abstract: This paper conducted the multi-objective capacity optimization of renewable energy power system considering techno-economic comparisons of battery, thermal energy storage, pumped hydro storage and hydrogen storage. The multi-objective capacity optimization model considers the minimization of levelized cost of energy and loss probability of power supply, which is solved by four representative multi-objective evolutionary algorithms. This paper also proposes a comprehensive metric of algorithms based on hypervolume, and the device operation characteristics and resources uncertainties are considered to improve the accuracy of simulation. The comparative results of algorithms show that the average rank of non-dominated sorting genetic algorithm is 1.6, which has the best comprehensive performance. The quantitative techno-economic comparative results of energy storage show that thermal energy storage is the most cost-effective under different reliability conditions. The sensibility analyses of different load profile and different resource level verify the effectiveness of techno-economic comparative results.

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