电-碳市场耦合下风光储多目标选址定容优化

郇嘉嘉 ,  曲毅 ,  何玉灵 ,  孙凯 ,  解奎 ,  王玉玮 ,  焦凌钰

科学技术与工程 ›› 2025, Vol. 25 ›› Issue (30) :12964-12973

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科学技术与工程 ›› 2025, Vol. 25 ›› Issue (30) :12964-12973 DOI: 10.12404/j.issn.1671-1815.2406408
电工技术

电-碳市场耦合下风光储多目标选址定容优化

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Multi-objective Location and Capacity Optimization of Wind-solar-storage under Electric-carbon Coupling Market

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摘要

在“双碳”目标背景下,风光储新能源装机增长加速,为实现新能源开发与碳减排协同优化发展,提出了一种考虑电碳市场耦合的风光储电站选址定容规划方法。首先,在考虑国家核证自愿减排量的电碳耦合市场下,以配电网年度运行成本为经济性评价指标,以电压幅值标准差为稳定性评价指标,构建考虑多目标的风光储电站规划模型。然后,以改进的带精英策略非支配排序遗传算法为求解方法,获取风光储电站的多目标规划方案。最后,利用IEEE33节点配网系统进行算例仿真。结果表明所提方法规划的风光储电站能有效减小配电网年度成本和系统电压波动,验证了所提规划方法的有效性。

Abstract

Under the background of the "dual carbon" goal, the installed capacity of wind-solar-storage is accelerating. In order to realize the collaborative optimal development of new energy development and carbon emission reduction, a method for the location and capacity planning of wind-solar-storage power station considering the coupling of electricity-carbon market was proposed. First of all, under the electric-carbon coupling market considering the voluntary emission reduction certified by the state, the annual operating cost of distribution network was taken as the economic evaluation index, and the voltage amplitude standard deviation was taken as the stability evaluation index. Then, using the improved non-dominated sorting genetic algorithm with elite strategy as the solution method, the multi-objective planning scheme of wind-photovoltaic-storage power station was obtained. Finally, the IEEE33-node distribution system was used for simulation. The results show that the wind-solar-storage power station planned by the proposed method can effectively reduce the annual cost of distribution network and system voltage fluctuation, which verifies the effectiveness of the proposed planning method.

关键词

分布式电源 / 储能系统 / 选址定容 / 电-碳耦合市场 / 非支配排序遗传算法

Key words

distributed generation / energy storage system / location and capacity optimization / electricity-carbon market coupling / non-dominated sorting genetic algorithm

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郇嘉嘉, 曲毅, 何玉灵, 孙凯, 解奎, 王玉玮, 焦凌钰. 电-碳市场耦合下风光储多目标选址定容优化[J]. 科学技术与工程, 2025, 25(30): 12964-12973 DOI:10.12404/j.issn.1671-1815.2406408
HUAN Jia-jia, QU Yi, HE Yu-ling, SUN Kai, XIE Kui, WANG Yu-wei, JIAO Ling-yu. Multi-objective Location and Capacity Optimization of Wind-solar-storage under Electric-carbon Coupling Market[J]. Science Technology and Engineering, 2025, 25(30): 12964-12973 DOI:10.12404/j.issn.1671-1815.2406408

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基金资助

南方电网公司科技项目(GDKJXM20230402)

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