首页 | 本学科首页   官方微博 | 高级检索  
     

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
引用本文: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.
作者姓名:李聪  秦立军
作者单位:华北电力大学电气与电子工程学院,北京 102206
基金项目:南网广东电网有限责任公司创新科技项目(0306002018030103SD00087)
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。

关 键 词:混合储能系统  粒子群优化  调频服务  容量配置  飞轮  
收稿时间:2021-07-22

SIZING OPTIMIZATION FOR HYBRID ENERGY STORAGE SYSTEM INDEPENDENTLY PARTICIPATING IN REGULATION MARKET USING IMPROVED PARTICLE SWARM OPTIMIZATION
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.
Authors:Li Cong  Qin Lijun
Affiliation:College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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.
Keywords:hybrid energy storage system  particle swarm optimization  frequency regulation service  capacity allocation  flywheel  
点击此处可从《太阳能学报》浏览原始摘要信息
点击此处可从《太阳能学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号