月刊
ISSN 1000-7229
CN 11-2583/TM
电力建设 ›› 2022, Vol. 43 ›› Issue (8): 22-32.doi: 10.12204/j.issn.1000-7229.2022.08.003
• 新型电力系统背景下储能系统规划配置与运行控制·栏目主持 李相俊教授级高工、帅智康教授、颜宁副教授· • 上一篇 下一篇
闫庆友1,2(), 史超凡1,2(), 秦光宇1,2,3(), 许传博1,2()
收稿日期:
2022-04-07
出版日期:
2022-08-01
发布日期:
2022-07-27
通讯作者:
史超凡
E-mail:yanqingyou@263.net;shichaofan@ncepu.edu.cn;qinguangyu@berkeley.edu;90102479@ncepu.edu.cn
作者简介:
闫庆友(1963),男,博士,教授,博士生导师,主要研究方向为电力经济等,E-mail: yanqingyou@263.net基金资助:
YAN Qingyou1,2(), SHI Chaofan1,2(), QIN Guangyu1,2,3(), XU Chuanbo1,2()
Received:
2022-04-07
Online:
2022-08-01
Published:
2022-07-27
Contact:
SHI Chaofan
E-mail:yanqingyou@263.net;shichaofan@ncepu.edu.cn;qinguangyu@berkeley.edu;90102479@ncepu.edu.cn
Supported by:
摘要:
针对电化学储能和氢储能的互补特性,提出了一种包含电化学和氢储能的混合储能系统配置和运行的综合优化模型,并提出了智能算法进行求解。该模型基于双层决策优化问题,将混合储能系统配置及运行2个不同时间维度的问题分上下层进行综合求解,并考虑了两者间的相互影响,采用强化学习近端策略优化(proximal policy optimization,PPO)算法求解该双层优化模型。以甘肃省某地区的风光数据,通过对比应用多种传统算法求解结果,验证了所用算法在复杂环境下适应度最高且收敛速度最快。研究结果表明,应用该模型最大可降低24%的弃风、弃光率,有效提升系统综合效益。氢储能作为容量型储能配置不受地形因素限制,适用于多样的应用场景,从而为氢储能这一新型储能形态在全国的广泛配置提供了应用示范。
中图分类号:
闫庆友, 史超凡, 秦光宇, 许传博. 基于近端策略优化算法的电化学/氢混合储能系统双层配置及运行优化[J]. 电力建设, 2022, 43(8): 22-32.
YAN Qingyou, SHI Chaofan, QIN Guangyu, XU Chuanbo. Research on Two-Layer Configuration and Operation Optimization Based on Proximal Policy Optimization for Electrochemical/Hydrogen Hybrid Energy Storage System[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(8): 22-32.
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