区域电力系统复合储能发电系统容量优化  

CAPACITY OPTIMIZATION OF HYBRID ENERGY STORAGE POWER GENERATION SYSTEM IN REGIONAL POWER SYSTEM

作　　者：潘婷 王俐英 丁红坚 曾鸣[1] 张晓春[1] 苏一博 周旭艳 Pan Ting;Wang Liying;Ding Hongjian;Zeng Ming;Zhang Xiaochun;Su Yibo;Zhou Xuyan(School of Economics and Management,North China Electric Power University,Beijing 102206,China;Department Of Econcnic Management,North China Electric Power University(Baoding),Baoding 071003,China;China Three Gorges Corporation Science and Technology Research Institute,Beijing 100036,China)

机构地区：[1]华北电力大学经济与管理学院,北京102206 [2]华北电力大学(保定)经济管理系,保定0710031 [3]中国长江三峡集团公司科学技术研究院,北京100036

出　　处：《太阳能学报》2024年第10期752-763,共12页Acta Energiae Solaris Sinica

基　　金：国家重点研发计划(2021YFB2400700);中国长江三峡集团有限公司科研项目(202303055)。

摘　　要：为提升区域发电系统风电、光伏等新能源占比,在阶梯碳价机制下,提出一种含复合储能的发电系统容量双层优化配置模型,利用电池储能配合抽水蓄能进行大规模充放电,实现系统效益最大化。上层以系统投资回收期最小为目标,下层以年运行效益最大为目标,并利用改进灰狼算法求解所构建的双层模型。结果表明,所提模型能在提升发电系统的售电收益和新能源的配置规模的同时,提升系统的环保性。To increase the proportion of new energy sources such as wind and photovoltaic power in regional power generation systems,a two-level optimal configuration model for power generation system capacity with hybrid energy storage is proposed under a tiered carbon pricing mechanism.This model utilizes battery energy storage combined with pumped hydro storage for large-scale charging and discharging to maximize system benefits.The upper level aims to minimize the system’s investment payback period,while the lower level aims to maximize annual operational benefits.An improved grey wolf optimizer is employed to solve the constructed two-level model.The results indicate that the proposed model can enhance both the electricity sales revenue and the scale of new energy deployment in the power generation system,while also improving the system’s environmental friendliness.

关 键 词：储能 抽水蓄能电站 电力系统规划 约束优化 清洁能源 

分 类 号：TM61[电气工程—电力系统及自动化]