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考虑负荷虚拟储能特性的商业区储能优化配置
引用本文:高文浩,赵海兵,殷爽睿,崔德民,田怀源,葛杨,李晓博,孙海涛.考虑负荷虚拟储能特性的商业区储能优化配置[J].中国电力,2020,53(4):96-104.
作者姓名:高文浩  赵海兵  殷爽睿  崔德民  田怀源  葛杨  李晓博  孙海涛
作者单位:1. 国网山东省电力公司 德州供电公司,山东 德州 253000;2. 上海交通大学 电子信息与电气工程学院,上海 200240
基金项目:国网山东省电力公司科技项目(2017A-90)
摘    要:储能技术的快速发展使得电力系统的经济性与灵活性逐渐提高,而基于需求侧管理的负荷虚拟储能则作为广义储能其中的一种获得了广泛关注。以商业区产消者为研究对象,基于人体舒适度范围建立具有时间解耦特性的空调负荷虚拟储能模型。在此基础上考虑负荷与光伏发电的季节性及气候性差异,计及全寿命周期成本建立考虑负荷虚拟储能特性的蓄电池储能双层优化配置模型,并采用Gurobi求解器与改进的差分进化算法配合求解。最后通过具体算例,证明了负荷虚拟储能的引入可有效提高商业区蓄电池储能配置的经济性,并分析储能系统对光伏消纳的影响。

关 键 词:虚拟储能  空调负荷  蓄电池储能  优化配置  差分进化算法  
收稿时间:2018-09-19
修稿时间:2019-02-02

Optimal Configuration of BESS in Commercial Area Considering Virtual Energy Storage Characteristics of Load
GAO Wenhao,ZHAO Haibing,YIN Shuangrui,CUI Demin,TIAN Huaiyuan,GE Yang,LI Xiaobo,SUN Haitao.Optimal Configuration of BESS in Commercial Area Considering Virtual Energy Storage Characteristics of Load[J].Electric Power,2020,53(4):96-104.
Authors:GAO Wenhao  ZHAO Haibing  YIN Shuangrui  CUI Demin  TIAN Huaiyuan  GE Yang  LI Xiaobo  SUN Haitao
Affiliation:1. Dezhou Power Supply Company, State Grid Shandong Electric Power Company, Dezhou 253000, China;2. School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
Abstract:The rapid development of energy storage technology has gradually increased the economic efficiency and flexibility of power systems, while the virtual energy storage of load(VES) based on demand side management has received extensive attention as a kind of generalized energy storage. We take the commercial area prosumers as the research objects and establish the VES model of air conditioning load with time decoupling characteristics based on human comfort range. On this basis, considering the seasonal and climatic differences between load and photovoltaic (PV) power generation and the life cycle cost, a bi-level optimal configuration model for battery energy storage system (BESS) considering the VES characteristics is established, and the Gurobi solver combined with the modified differential evolution (MDE) is adopted. Finally, the specific example shows that the participation of VES can effectively improve the economic efficiency of BESS configuration in commercial area, and the impact of energy storage system on PV consumption is analyzed.
Keywords:virtual energy storage  air conditioning load  battery energy storage  optimal configuration  differential evolution algorithm  
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