基于禁忌搜索算法的储能电池盈利模式优化策略研究

朱青; 梁广平; 任建国; 张敏; 顾元沛

引用本文:	朱青,梁广平,任建国,等.基于禁忌搜索算法的储能电池盈利模式优化策略研究[J].电力系统保护与控制,2019,47(18):121-127.
	ZHU Qing,LIANG Guangping,REN Jianguo,et al.Research on optimization model of energy storage battery profit mode based on Tabu search algorithm[J].Power System Protection and Control,2019,47(18):121-127

【打印本页】【下载PDF全文】【查看/发表评论】【EndNote】【RefMan】【BibTex】

←前一篇|后一篇→

过刊浏览高级检索

本文已被：浏览 4146次下载 2019次	码上扫一扫！
分享到：微信更多字体:加大+\|默认\|缩小-
基于禁忌搜索算法的储能电池盈利模式优化策略研究
朱青¹,梁广平¹,任建国²,张敏³,顾元沛³
(1.中国电建集团河北省电力勘测设计研究院有限公司,河北省电力勘测设计工程技术研究中心，河北石家庄 050031; 2.华润电力控股有限公司，广东深圳 581000;3.华北电力大学电气与电子工程学院，北京 102206)

摘要:

针对储能电池现阶段经济效益较差、规模发展受限等问题，提出一种利用禁忌搜索算法的盈利模式优化策略。首先，分析了储能技术的不同投资主体差异和电价机制。在此基础上，为用户侧或第三方投资主体设计一种同时考虑净负荷和电价机制的盈利模式。然后，以储能电池日盈利最大为目标建立储能盈利模式的优化模型，应用禁忌搜索算法求解电池日前充放电功率。最后，算例对比分析了盈利模式和传统运营模式的经济效益，结果表明所提出的盈利模式经济性更优。

关键词: 储能电池净负荷电价机制盈利模式禁忌搜索算法

DOI：10.19783/j.cnki.pspc.181295

分类号:

基金项目:中央高校基本科研业务费专项资金项目资助(2018JQ01);国家重点研发计划专项课题(2018YFB0904 003);中国电力建设集团科技部重点项目资助(KJ-2017-100)

Research on optimization model of energy storage battery profit mode based on Tabu search algorithm

ZHU Qing¹,LIANG Guangping¹,REN Jianguo²,ZHANG Min³,GU Yuanpei³

(1.Hebei Electric Survey Design Engineering & Technology Research Center, Power China Hebei Electric Power Design & Research Institute Co., Ltd., Shijiazhuang 050031, China;2. China Resources Power Holdings Company Limited, Shenzhen 581000, China;3. School of Electric & Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract:

Aiming at the problems of energy storage batteries’ poor economic efficiency and limited scale development at present, this paper proposes a profit model optimization strategy based on Tabu search algorithm. Firstly, the differences among energy storage technology’s different investors and the electricity price mechanism are analyzed. On this basis, a profit model considering the net load and electricity price mechanism is designed for the user side or third party investors. Then, to maximize the daily profit of energy storage battery, an optimization model of energy storage profit model is established, and the Tabu search algorithm is applied to solve the battery’s charge and discharge power. Finally, the economic benefits of profit model and traditional operation model are compared by examples, the results show that the profit model proposed in this paper is more economical. This work is supported by Fundamental Research Funds for the Central Universities (No. 2018JQ01), National Key Research and Development Program of China (No. 2018YFB0904003) and Key Program of Power China’s Ministry of Science and Technology (No. KJ-2017-100).

Key words: energy storage battery net load electricity price mechanism profit model Tabu search algorithm

X关闭