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蒙西地区储能技术经济性优化配置研究
引用本文:窦东,王雁宇,李欣,杨文生,周文奇,李海清,张士营.蒙西地区储能技术经济性优化配置研究[J].中国电力,2022,55(8):52-63.
作者姓名:窦东  王雁宇  李欣  杨文生  周文奇  李海清  张士营
作者单位:1. 内蒙古电力经济技术研究院,内蒙古 呼和浩特 010040;2. 华能新能源股份有限公司,北京 100036
基金项目:国家重点研发计划资助项目(规模化储能系统集群智能协同控制关键技术研究及应用,2021YFB2400700)。
摘    要:蒙西地区近年来可再生能源装机容量占比逐年提高,亟须配置大规模储能降低其间歇性、波动性给电力系统带来的影响。为实现蒙西地区储能的最优化配置,设计提出蒙西地区储能技术经济性优化配置模型。首先,兼顾技术性和经济性对蒙西地区储能的选址、选型开展研究。其次,以平抑风光出力波动性最大化和包含外部价值在内的储能项目收益最大化为目标,构建储能技术经济性优化配置模型,并采用NSGA-II算法对该模型进行求解。对蒙西某风光聚集地区的实证研究表明:当风光出力波动抑制率控制在30%以内,且光伏占风机的装机比例较低时,配置一定规模的储能可在技术、经济2个方面收到显著成效。最后,基于选址选型和实证分析结果,给出蒙西地区的储能配置方案。

关 键 词:蒙西地区  储能  外部价值  可再生能源  技术经济性  NSGA-II  
收稿时间:2022-03-10

Techno-economically Optimal Configuration of Energy Storage for Western Inner Mongolia
DOU Dong,WANG Yanyu,LI Xin,YANG Wensheng,ZHOU Wenqi,LI Haiqing,ZHANG Shiying.Techno-economically Optimal Configuration of Energy Storage for Western Inner Mongolia[J].Electric Power,2022,55(8):52-63.
Authors:DOU Dong  WANG Yanyu  LI Xin  YANG Wensheng  ZHOU Wenqi  LI Haiqing  ZHANG Shiying
Affiliation:1. Inner Mongolia Electric Power Economics and Technology Research Institute, Hohhot 010040, China;2. Huaneng Renewables Corporation Limited, Beijing 100036, China
Abstract:Due to the gradual increase in the installed capacity proportion of renewable energy in western Inner Mongolia in recent years, large-scale energy storage needs to be deployed to solve the problems caused by the intermittency and fluctuation of renewable energy to the power system. This paper designs and proposes a techno-economically optimal configuration model for energy storage in western Inner Mongolia to achieve the optimal energy storage configuration in this region. Specifically, the site selection and type selection for energy storage in western Inner Mongolia are studied by taking into account both technical and economic performance. Then, with the goal of suppressing wind and photovoltaic (PV) output fluctuation maximally and maximizing the revenue of energy storage projects, including their external value, a techno-economically optimal configuration model for energy storage is constructed and solved with the NSGA-II algorithm. An empirical study of a wind and PV resource aggregating area in western Inner Mongolia shows that when the suppression rate of wind and PV output fluctuation is controlled within 30% and the ratio of PV installed capacity to wind power installed capacity is low, deploying a certain scale of energy storage can obtain remarkable effects in both the technical and economic aspects. Finally, an energy storage configuration scheme based on the site selection, type selection, and empirical analysis results is proposed for western Inner Mongolia.
Keywords:western Inner Mongolia  energy storage  external value  renewable energy  techno-economics  NSGA-II  
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