储能科学与技术 ›› 2018, Vol. 7 ›› Issue (1): 90-.doi: 10.12028/j.issn.2095-4239.2017.0144

• 研究及进展 • 上一篇    下一篇

基于优化调度的用户侧电池储能配置及控制方法

林俊豪，古雄文，马  丽   

  1. 珠海派诺科技股份有限公司，广东 珠海 519000
  • 收稿日期:2017-08-25 修回日期:2017-09-10 出版日期:2018-01-01 发布日期:2018-01-01
  • 通讯作者: 林俊豪（1989—），男，博士，主要研究方向为电力系统优化与控制、能量路由、数学优化算法等，E-mail：linjh@pmac.com.cn。
  • 基金资助:

    广东省引进博士后资助计划

Optimal sizing and control of demand-side battery energy storage system

LIN Junhao, GU Xiongwen, MA Li   

  1. Zhuhai Pilot Technology Co. Ltd., Zhuhai 51900, Guangdong, China
  • Received:2017-08-25 Revised:2017-09-10 Online:2018-01-01 Published:2018-01-01

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249

被引次数

2

摘要： 为提高用户侧电池储能系统的经济性及使用寿命，提出一种基于能量优化调度的储能配置及控制方法。首先，建立用户侧储能应用的成本及收益的经济性分析模型，综合考虑电池容量在不同最大放电深度下的衰减特性，以及负荷与可再生能源发电的不确定性，得到净收益最佳的储能容量配置方案。其次，在运行阶段，采用模型预测控制进行能量管理，跟踪设备出力变化，求解系统的最优调度决策，以保证用户收益及电池循环寿命。算例分析比较了数种类型电池，包括梯次利用电池的经济性，体现了所提储能联合规划与运行方法对优化用户侧储能经济价值的重要性。

关键词: 用户侧储能, 电池储能系统, 优化调度, 容量配置, 经济性分析

Abstract:

Battery energy storage is the building blocks of the Energy Internet. To improve the economy and battery life of the demand-side battery energy storage system (BESS), an optimal sizing and control method for the BESS is proposed based on an optimal scheduling approach. First, a cost-benefit analysis model is developed for evaluating the economy of demand-side energy storage. Accounting for the characteristics of battery capacity degradation under different depth of discharge (DOD) as well as the uncertainties of load and renewable generation, the optimal power and energy capacities of the BESS are determined by a stochastic scheduling method. For energy management, model predictive control is applied to adapt to the changes of the system conditions, and the profit generated by the BESS as well as the battery cycle life are optimized jointly. The proposed method considers the system operations in the planning model in order to give a more accurate evaluation of the revenues generated by the BESS. Case studies compare the economy of several types of battery energy storage including second-use batteries, and demonstrate the effectiveness of the proposed joint planning and operating method in optimizing the economic benefits of demand-side energy storage. Numerical results indicate that the economic benefits of new lead carbon batteries and second-use LiFePO4 batteries outperform new LiFePO4 batteries in terms of payback periods and annual profits.

Key words: demand-side energy storage, battery energy storage system, optimal scheduling, capacity sizing, economic analysis