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分布式电池储能系统参与自动发电控制的协调控制方法
作者:
作者单位:

1. 电力传输与功率变换控制教育部重点实验室(上海交通大学), 上海市200240;2. 上海交通大学电子信息与电气工程学院, 上海市200240; 3. 国网上海市电力公司电力科学研究院, 上海市 200437

摘要:

分布式电池储能系统(BESS)的协调控制是储能应用中的关键问题。针对聚合多样性BESS参与自动发电控制的应用场景,文中首先提出了基于BESS集群荷电状态(SOC)的集群能量平衡反馈控制结构;然后针对充放电损耗与电池老化建立了BESS的服务成本模型,定义了每个控制周期的边际损耗成本和边际老化成本,据此提出了基于市场机制的无需迭代的控制方法,实现了控制目标在BESS集群内的实时最优分配;最后在仿真中对比了BESS聚合器的多种SOC控制方法以及BESS的多种协调控制方法,验证了所提出方法的有效性。

基金项目:

国家重点研发计划资助项目(2016YFB0101900)


Coordinated Control Strategy of Distributed Battery Energy Storage System Participating in Automatic Generation Control
Author:
Affiliation:

1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China; 2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 3. Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China

Abstract:

One essential problem of battery energy application is the coordinated control of distributed battery energy storage systems(BESS). To study the aggregation of different BESS participating in automatic generation control, a feedback control method of the state of charge(SOC)is firstly proposed. Secondly, a cost model for the charge and discharge loss and battery aging is established. Thirdly, by defining each control cycle's marginal loss cost and marginal aging cost, a market-based control method without iteration is proposed to achieve the real-time optimal power allocation within BESS aggregator. Finally, a simulation analysis on the effectiveness of several SOC control methods and coordinated control methods of BESS is implemented. The results verify the effectiveness of the proposed method.

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引用本文
[1]程亦直,张沛超,季珉杰,等.分布式电池储能系统参与自动发电控制的协调控制方法[J].电力系统自动化,2018,42(8):66-73. DOI:10.7500/AEPS20170512012.
CHENG Yizhi, ZHANG Peichao, JI Minjie, et al. Coordinated Control Strategy of Distributed Battery Energy Storage System Participating in Automatic Generation Control[J]. Automation of Electric Power Systems, 2018, 42(8):66-73. DOI:10.7500/AEPS20170512012.
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  • 收稿日期:2017-05-12
  • 最后修改日期:2017-11-21
  • 录用日期:2017-09-06
  • 在线发布日期: 2017-11-13