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

被引：0
|
作者：
Cheng Y. [1 ,2 ]
Zhang P. [1 ,2 ]
Ji M. [1 ,2 ]
Fang C. [3 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai
[2] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[3] Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company, Shanghai
来源：
Zhang, Peichao (pczhang@sjtu.edu.cn) | 2018年 / Automation of Electric Power Systems Press卷 / 42期
关键词：
Automatic generation control; Battery; Charge and discharge loss; Cycle life; Energy storage system; Market-based control;
D O I：
10.7500/AEPS20170512012
中图分类号：
学科分类号：
摘要：
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. © 2018 Automation of Electric Power Systems Press.
引用
下载
收藏
页码：66 / 73
页数：7
相关论文
共 22 条
  • [1] Xu Y., Zhang W., Hug G., Et al., Cooperative control of distributed energy storage systems in a microgrid, IEEE Transactions on Smart Grid, 6, 1, pp. 238-248, (2015)
  • [2] Yang B., Makarov Y., Desteese J., Et al., On the use of energy storage technologies for regulation services in electric power systems with significant penetration of wind energy, 5th International Conference on European Electricity Market, pp. 1-6, (2008)
  • [3] Li D., Liang J., Sun R., Et al., Compensation strategies of AGC regulation performance in plants management and assessment system, Automation of Electric Power Systems, 34, 4, pp. 107-111, (2010)
  • [4] Li X., Huang J., Chen Y., Et al., Review on large-scale involvement of energy storage in power grid fast frequency regulation, Power System Protection and Control, 44, 7, pp. 145-153, (2016)
  • [5] Hu Z., Xie X., Zhang F., Et al., Research on automatic generation control strategy incorporating energy storage resources, Proceedings of the CSEE, 34, 29, pp. 5080-5087, (2014)
  • [6] Xu B., Dvorkin Y., Kirschen D.S., Et al., A comparison of policies on the participation of storage in US frequency regulation markets, 2016 IEEE PES General Meeting, pp. 1-5, (2016)
  • [7] Niu Y., Zhang F., Zhang H., Et al., Optimal control strategy and capacity planning of hybrid energy storage system for improving AGC performance of thermal power units, Automation of Electric Power Systems, 40, 10, pp. 38-45, (2016)
  • [8] Morstyn T., Hredzak B., Agelidis V.G., Distributed cooperative control of microgrid storage, IEEE Transactions on Power Systems, 30, 5, pp. 2780-2789, (2015)
  • [9] Morstyn T., Hredzak B., Agelidis V.G., Control strategies for microgrids with distributed energy storage systems: an overview, IEEE Transactions on Smart Grid
  • [10] Wang L., Wang C., Yin G., Et al., Balanced control strategies for interconnected heterogeneous battery systems, 2016 IEEE PES General Meeting, pp. 189-199, (2016)
123