• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2020, Vol. 41 ›› Issue (1): 45-54.doi: 10.3969/j.issn.1000-7229.2020.01.006

• 面向可再生能源消纳的多能源互补·栏目主持 张宁副教授· • 上一篇    下一篇

考虑储能系统动态全寿命周期特性的多功能应用需求规划方法

李湘旗1,禹海峰1,李欣然2,章德1,蒋星1,朱思睿1,陈长青2   

  1. 1.国网湖南省电力有限公司经济技术研究院,长沙市 410004;2.湖南大学电气与信息工程学院,长沙市 410082
  • 出版日期:2020-01-01
  • 作者简介:李湘旗(1963),男,高级工程师,主要研究方向为电网规划及电网侧储能技术; 禹海峰(1987),男,高级工程师,主要研究方向为主电网规划及电网侧储能技术; 李欣然(1957),男,教授,博士生导师,主要研究方向为负荷建模及储能应用; 章德(1986),男,高级工程师,主要研究方向为电网规划及电网安全稳定运行; 蒋星(1992),男,硕士,主要研究方向为电网规划技术; 朱思睿(1991),男,硕士,主要研究方向为电网规划技术; 陈长青(1989),男,博士研究生,主要研究方向为储能在电网中的应用。
  • 基金资助:
    国网湖南省电力有限公司科技项目(5216A7160004)

Planning Method for Multi-Functional Application Demand Considering Dynamic Life Cycle Characteristics of Energy Storage

LI Xiangqi1,YU Haifeng1,LI Xinran2,ZHANG De1,JIANG Xing1,ZHU Sirui1,CHEN Changqing2   

  1. 1.Economic & Technical Research Institute, State Grid Hunan Electric Power Company Limited, Changsha 410004, China;2.School of Electrical and Information Engineering, Hunan University, Changsha 410082,China
  • Online:2020-01-01
  • Supported by:
    This work is supported by Project of State Grid Hunan Electric Power Company Limited(No. 5216A7160004).

摘要: 为充分发挥配电网中电池储能电站(battery storage power station, BSPS)调峰、调压和改善系统可靠性等多功能特性。提出了一种以削峰填谷为主,同时兼顾调压、新能源消纳等多功能应用需求的规划方法。该方法旨在使经济效益目标最大化的同时,确定BSPS的位置、功率和容量。为使结果更加准确,考虑电池老化影响,将BSPS分成建设、运行、衰退等多时段,构建动态全寿命周期模型,并采用量子遗传算法求解。算例分别对干线和环网2种不同结构,以峰谷差大、电源、负荷分布不均衡的某省实际电网数据为例,验证了所提规划方法的有效性。

关键词: 优化规划, 削峰填谷, 调压, 新能源消纳, 动态全寿命

Abstract: In order to give full play to the peak regulation, voltage regulation and system reliability of the energy storage power station in the distribution network, in this paper, a multi-functional application planning method is proposed. It is mainly based on peak cutting and valley filling, and also takes into account voltage regulation and new energy consumption. The method aims to determine the location, power and capacity of the battery storage power station while maximizing the economic benefits. In order to make the results more accurate, considering the impact of battery aging, the battery storage power station is divided into multiple periods of construction, operation, decline and so on to build a dynamic full life cycle model. Finally, quantum genetic algorithm is used to solve the problem. The planning method proposed in this paper is verified by taking the actual power grid data of a province in China with large peak-valley difference and unbalanced distribution of power supply and load as an example.

Key words:  optimization planning, peak filling and valley filling, voltage regulation, new energy consumption, dynamic full life

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