文章摘要
修晓青,唐巍,李建林,等.基于层次分析法的储能配置综合评估技术[J].电力系统自动化,2018,42(11):72-78. DOI: 10.7500/AEPS20171227003.
XIU Xiaoqing,TANG Wei,LI Jianlin, et al.Comprehensive Evaluation Technology of Energy Storage Configuration Based on Analytic Hierarchy Process[J].Automation of Electric Power Systems,2018,42(11):72-78. DOI: 10.7500/AEPS20171227003.
基于层次分析法的储能配置综合评估技术
Comprehensive Evaluation Technology of Energy Storage Configuration Based on Analytic Hierarchy Process
DOI:10.7500/AEPS20171227003
关键词: 储能  削峰填谷  需求响应  容量配置  综合评估
KeyWords: energy storage  peak load shifting  demand response  capacity configuration  comprehensive evaluation
上网日期:2018-05-04
基金项目:国家重点研发计划资助项目(2017YFB0903505);国家自然科学基金资助项目(51377162);国家电网公司科技项目“多点布局分布式储能系统在电网的聚合效应研究及应用示范”
作者单位E-mail
修晓青 中国农业大学信息与电气工程学院, 北京市 100083  
唐巍 中国农业大学信息与电气工程学院, 北京市 100083 wei_tang@cau.edu.cn 
李建林 中国电力科学研究院有限公司, 北京市 100192  
田春光 国网吉林省电力公司电力科学研究院, 吉林省长春市 130021  
徐鸥洋 中国农业大学信息与电气工程学院, 北京市 100083  
摘要:
      针对电池储能技术经济性逐渐提高、储能需求日益增长、部分电池储能技术应用效益性逐步凸显的现状,研究参与用户侧电能管理和需求响应的储能配置综合评估技术。基于层次分析法,提出了技术经济指标下不同储能规模间的标度计算方法,建立了综合评估指标的数学模型。考虑储能容量衰减,分别以投资成本、寿命、净现值、投资回收期、投资回报率等指标为上层目标函数;考虑削峰填谷、需求响应,以储能系统净年收益为下层目标函数,优化储能系统充放电曲线,提出了基于层次分析法的多目标优化模型求解方法。通过实例仿真验证了所提模型和方法的有效性和可行性,结果表明:综合评估指标可针对储能投资者的关注点,整体评估储能项目的可行性,得出综合评估指标最高时对应的储能规模。
Abstract:
      With gradually improving economy of battery energy storage technology, the growth of energy storage requirements, and the increase of application benefits of battery energy storage technology, comprehensive evaluation technology of energy storage configuration participating in user side power management and demand response is studied. Based on analytic hierarchy process, the scaling calculation method between different energy storage capacities is proposed under the technical-economical indicators, and the mathematical model of comprehensive evaluation indicator is established. Considering the decay of energy storage capacity, the model takes investment cost, life, net present value, payback period and rate of return on investment as the upper level objective function. Considering peak load shifting and demand response, the model takes net annual income of energy storage system as the lower level objective function, which can optimize the charging-discharging curve of energy storage system. A multi-objective optimization method based on analytic hierarchy process is proposed. The validity and feasibility of the proposed model and method are verified by example simulation, which show that the comprehensive evaluation indices can evaluate the feasibility of energy storage project and obtain the energy storage capacity with the highest comprehensive evaluation indices, referring to the focus of energy storage investors.
查看全文(Free!)   查看附录   查看/发表评论  下载PDF阅读器