基于改进粒子群算法的混合储能独立调频的容量优化研究

李聪; 秦立军

doi:10.19912/j.0254-0096.tynxb.2021-0871

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (1) : 426-434. DOI: 10.19912/j.0254-0096.tynxb.2021-0871

基于改进粒子群算法的混合储能独立调频的容量优化研究

李聪, 秦立军

作者信息 +

SIZING OPTIMIZATION FOR HYBRID ENERGY STORAGE SYSTEM INDEPENDENTLY PARTICIPATING IN REGULATION MARKET USING IMPROVED PARTICLE SWARM OPTIMIZATION

Li Cong, Qin Lijun

Author information +

文章历史 +

摘要

新能源与可再生能源在“3060双碳”战略目标下深入构建清洁能源体系,针对储能以独立主体向电网提供调频辅助服务以应对间歇性和随机性功率波动的优化问题,提出飞轮和锂电池混合储能的容量配置策略。首先,以考虑调频里程的储能经济效益最大化建立数学模型;然后采用自适应噪声完备集合经验模态分解将调频指令分解为高频需求和低频需求;最后构建算例,在不同分频参数下嵌入混合储能的充放电功率控制和荷电状态约束,并运用反向搜索前期寻优和变异交叉策略后期寻优的改进粒子群算法求解。结果表明,该方法求解得到的配置方案有效提升了混合储能整体的经济性和安全性。

Abstract

Under the strategic goal of “3060 double carbon”, new energy and renewable energy are deeply building a clean energy system. Aiming at the optimization problem that energy storage provides frequency regulation auxiliary services to the power grid as an independent subject to deal with intermittent and random power fluctuations, the capacity allocation strategy of hybrid energy storage system（HESS） of flywheel and lithium battery is proposed. Firstly, the mathematical model is established to maximize the economic benefits of energy storage considering frequency regulation mileage. Then the command is decomposed into high frequency demand and low frequency demand by using complete ensemble empirical mode decomposition with adaptive noise（CEEMDAN）. Finally, embedded with the charge and discharge power control and state of charge（SOC） constraints of hybrid energy storage, an example is constructed under different frequency division parameters and solved by particle swarm optimization that is improved by opposite search strategy in the early stage and mutation and crossover strategy in the later stage. The results show that the configuration scheme obtained by this method effectively improves the overall economy and safety of hybrid energy storage.

导出引用

李聪, 秦立军. 基于改进粒子群算法的混合储能独立调频的容量优化研究[J]. 太阳能学报. 2023, 44(1): 426-434 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0871

Li Cong, Qin Lijun. SIZING OPTIMIZATION FOR HYBRID ENERGY STORAGE SYSTEM INDEPENDENTLY PARTICIPATING IN REGULATION MARKET USING IMPROVED PARTICLE SWARM OPTIMIZATION[J]. Acta Energiae Solaris Sinica. 2023, 44(1): 426-434 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0871

中图分类号： TM711

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