Multiplexing Strategy for User-side Battery Energy Storage System Based on Dynamic Power Distribution and Short-term Capacity Compensation

被引:0
|
作者
Zhang S. [1 ]
Dong J. [1 ]
Wang Y. [2 ]
Wang X. [1 ]
Zhang S. [1 ]
机构
[1] School of Mechatronics Engineering and Automation, Shanghai University, Shanghai
[2] State Grid Ningbo Fenghua District Power Supply Company, Ningbo
基金
中国国家自然科学基金;
关键词
chance-constrained programming; dynamic programming; frequency regulation; peak-valley arbitrage income; user-side battery energy storage system;
D O I
10.7500/AEPS20230906003
中图分类号
学科分类号
摘要
The user-side battery energy storage system (BESS) plays an important role in maintaining the power balance of the power system with high-penetration of renewable energy, and its multiplexed operation mode for energy arbitrage and frequency regulation receives extensive attentions. However, the dispatching of BESS faces the dual challenges of the time-varying energy arbitrage price and the random frequency regulation demand in the multiplexed operation mode. To make better use of BESS resources and maximize the demand-side BESS daily profit, a multiplexing strategy for user-side BESS based on dynamic power distribution and short-term capacity compensation is proposed, and a scheduling result is formed with the arbitrage power, droop coefficient and capacity compensation coefficient as the core parameters. The simulation results show that the dynamic power distribution achieves the dynamic adjustment of BESS power between energy arbitrage and frequency regulation. Meanwhile, the short-term capacity compensation accomplishes the continuously track of frequency deviation signals and effectively avoids the overload of capacity. The profits of BESS are significantly improved with the application of the strategy. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:225 / 234
页数:9
相关论文
共 33 条
  • [1] ZHUO Zhenyu, ZHANG Ning, XIE Xiaorong, Et al., Key technologies and developing challenges of power system with high proportion of renewable energy, Automation of Electric Power Systems, 45, 9, pp. 171-191, (2021)
  • [2] LU Zongxiang, LIN Yisha, QIAO Ying, Et al., Flexibility supply-demand balance in power system with ultra-high proportion of renewable energy, Automation of Electric Power Systems, 46, 16, pp. 3-16, (2022)
  • [3] LIU Chang, ZHUO Jiankun, ZHAO Dongming, Et al., A review on the utilization of energy storage system for the flexible and safe operation of renewable energy microgrids, Proceedings of the CSEE, 40, 1, pp. 1-18, (2020)
  • [4] WANG Chengmin, SUN Weiqing, YI Tao, Et al., Review on energy storage application planning and benefit evaluation methods in smart grid, Proceedings of the CSEE, 33, 7, pp. 33-41, (2013)
  • [5] WU Linlin, CHEN Can, HU Junjie, Et al., User-side resource application and key technologies supporting the flexibility de-mand of renewable energy power system, Power System Technology, pp. 1-14
  • [6] CAI Fulin, HU Zechun, CAO Minjian, Et al., Coordinated planning of centralized and distributed battery energy storage for improving renewable energy accommodation capability, Automation of Electric Power Systems, 46, 20, pp. 23-32, (2022)
  • [7] HASHMI M U, DEKA D, BUSIC A, Et al., Arbitrage with power factor correction using energy storage [J], IEEE Transactions on Power Systems, 35, 4, pp. 2693-2703, (2020)
  • [8] PADMANABHAN N, AHMED M, BHATTACHARYA K., Battery energy storage systems in energy and reserve markets[J], IEEE Transactions on Power Systems, 35, 1, pp. 215-226, (2020)
  • [9] WU Shengjun, LIU Jiankun, ZHOU Qian, Et al., Optimal economic scheduling for multi-microgrid system with combined cooling, heating and power considering service of energy storage station, Automation of Electric Power Systems, 43, 10, pp. 10-18, (2019)
  • [10] MULDER G, SIX D, CLAESSENS B, Et al., The dimensioning of PV-battery systems depending on the incentive and selling price conditions, Applied Energy, 111, pp. 1126-1135, (2013)