• 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 ›› 2016, Vol. 37 ›› Issue (9): 70-.doi: 10.3969/j.issn.1000-7229.2016.09.010

• 储能技术 • 上一篇    下一篇

储能优化配置关键问题分析

李丹丹,苏小林,阎晓霞,谭逸雪   

  1. 山西大学电力工程系,太原市 030013
  • 出版日期:2016-09-01
  • 作者简介:李丹丹(1992),女,硕士研究生,研究方向为电力系统稳定分析与控制、储能技术; 苏小林(1963),男,工学博士,教授,本文通讯作者,主要研究方向为电力系统运行与控制、智能电网等; 阎晓霞(1963),女,工学学士,副教授,研究方向为电力系统运行与控制; 谭逸雪(1992),女,硕士研究生,研究方向为储能在电力系统中的应用。

Principal Problems of Energy Storage Optimization Allocation

LI Dandan, SU Xiaolin, YAN Xiaoxia, TAN Yixue   

  1. Department of Electric Power Engineering,Shanxi University,Taiyuan 030013,China
  • Online:2016-09-01

摘要: 储能优化配置是储能高效应用的基础,涉及技术和经济2个维度方面的问题,也涉及多应用时间尺度和功率能量的不同需求问题。基于储能在安全稳定、调频、新能源接纳、电能质量等方面的应用需求,深入分析了其优化配置的目标、条件、方法和理论。基于储能系统的成本效益分析,建立了通用净现值优化模型。结合不同储能的应用特性,分析了储能类型的选择原则,以及复合储能组合形式与容量配比的确定方法。针对储能应用的评价,从补偿效果、安全性、可靠性、经济性等方面给出了相关评价指标和评价方法。最后,提出了在储能应用实践中有待深入开展的研究性课题。

关键词: 储能, 电力系统, 优化配置, 评估指标

Abstract: Energy storage optimization allocation is the foundation of energy storage system (ESS) application, which involves two dimensions of technical and economic aspects, also relates to the different needs of multi-application time scales and power energy. According to the different application requirements of ESS in power grids, focusing on security and stability, frequency regulation, acceptance of renewable energy sources and power quality, this paper analyzes the optimal allocation of its objectives, conditions, methods and theories deeply. Based on the cost-benefit analysis of energy storage system, this paper establishes a general NPV (net present value) optimization model. Combined with the application characteristics of different energy storage, this paper analyzes the selection principles of energy storage type, as well as the combination type of composite energy storage and the methods of capacity allocation. This paper presents the relevant evaluation index and methods for the evaluation of energy storage application from the compensation effect, safety, reliability, economy and so on. Finally, this paper proposes the future research topics in the practice of energy storage planning.

Key words: energy storage, electric power system, optimization allocation, evaluation index

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