Research on optimal allocation of hybrid energy storage in distribution network considering landscape absorption and carbon emission reduction
刘同和 1吴佳哲 1李向前 1张澜芳 1王雷 1赵晶晶 2樊濠诚2
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作者信息
1. 国网河南省电力公司濮阳供电公司 濮阳 457000
2. 上海电力大学电气工程学院 上海 200090
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摘要
大力发展风电、光伏等可再生能源是我国实现"双碳"目标的重要途径.风光等分布式电源(distributed generation,DG)大量接入配电网后,将储能电池作为灵活性调节资源,可提升配电网风光消纳、碳减排和运行稳定性能力.考虑碳排放强度提出了碳排放指标,建立了考虑风光消纳和碳减排的配电网混合储能(hybrid energy storage,HES)优化配置模型;并通过禁忌搜索(tabu search,TS)和改进学习因子粒子群优化算法对模型进行求解;最后,通过IEEE-33节点配电网系统进行仿真分析,验证了所提方法的有效性.结果表明,合理配置混合储能可以有效提高配电网风光消纳能力、碳减排能力和运行稳定性.
Abstract
Vigorously developing renewable energy such as wind power and photovoltaic is an important way to achieve the goal of"double carbon"in China.After a large number of distributed power sources such as wind power are connected to the distribution network,the energy storage battery is used as a flexible adjustment resource,which can improve the wind absorption,carbon emission reduction and operational stability of the distribution network.In this paper,carbon emission index is proposed considering carbon emission intensity,and HES optimization configuration model of distribution network is established considering landscape consumption and carbon emission reduction.The model is solved by tabu search(TS)and improved learning factor particle swarm optimization algorithm.Finally,through the simulation analysis of IEEE-33 node distribution system,the effectiveness of the proposed method is verified.The results show that reasonable allocation of hybrid energy storage can effectively improve the wind absorption capacity,carbon emission reduction capacity and operation stability of distribution network.
关键词
分布式电源/碳减排/混合储能系统/禁忌搜索/粒子群优化算法
Key words
distributed power supply/carbon reduction/hybird energy storage system/tabu search/particle swarm opti-mization algorithm
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