Bi-level optimal scheduling of multi-microgrid system considering demand response and shared energy storage

被引:0
|
作者
Xu Y. [1 ]
Liu H. [1 ]
Sun S. [1 ]
Mi L. [2 ]
机构
[1] Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang
[2] Department of Electrical and Computer Engineering, Texas A&M University, College Station
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 06期
基金
中国国家自然科学基金;
关键词
integrated energy system; KKT conditions; multi-microgrid; shared energy storage; Stackelberg game; user demand response;
D O I
10.16081/j.epae.202208039
中图分类号
学科分类号
摘要
Incorporating demand response behavior of power consumers and energy storage sharing devices in multi-microgrid system will affect the energy flow and equipment output. Thereby,in order to promote the efficient utilization of energy storage devices and the local consumption of renewable energy,a bi-level optimal scheduling strategy for multi-microgrid systems is proposed,which takes into account both the demand response of energy users and the sharing of energy storages. The operation mode of shared energy storage,multi-microgrid system and demand response behavior of energy users are modeled. A cooperative Stackelberg interactive equilibrium model is proposed,in which the maximum net income of multi-microgrid system and the minimum total energy purchase cost of energy-consuming users are set as the upper-level and lower-level objectives respectively. The lower-level model is replaced by its KKT conditions,and then the Big-M method and strong-duality theorem are employed to deal with nonlinear terms. As a result,the Stackelberg game model is transformed into a mixed integer linear programming problem. The energy pricing strategy of multi-microgrid system,the dynamic capacity allocation of shared energy storage and the equipment operating status in each microgrid are obtained. To promote power interaction between microgrids,a profit allocation scheme based on interaction contribution is proposed. Finally,five different schemes are employed as examples to verify the effectiveness of the proposed strategy. © 2023 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码:18 / 26
页数:8
相关论文
共 21 条
  • [1] QIU Weiqiang, WANG Maochun, LIN Zhenzhi, Et al., Comprehensive evaluation of shared energy storage towards new energy accommodation scenario under targets of carbon emission peak and carbon neutrality[J], Electric Power Automation Equipment, 41, 10, pp. 244-255, (2021)
  • [2] WANG P,, Et al., Research on the bi-level optimization model of distribution network based on distributed cooperative control [J], IEEE Access, 9, pp. 11798-11810, (2021)
  • [3] SHI Quansheng, DING Jianyong, LIU Kun, Et al., Economic optimal operation of microgrid integrated energy system with electricity,gas and heat storage[J], Electric Power Automation Equipment, 39, 8, pp. 269-276, (2019)
  • [4] WANG Shouxiang, ZHANG Qi, WANG Han, Et al., Optimal planning method for regional multi-microgrid system with high renewable energy penetration[J], Electric Power Automation Equipment, 38, 12, pp. 33-38, (2018)
  • [5] Distributed optimal control for multiple microgrids in a distribution network[J], IEEE Transactions on Smart Grid, 10, 4, pp. 3765-3779, (2019)
  • [6] XU Yeyan, LIAO Qingfen, LIU Dichen, Et al., Multi-player in-traday optimal dispatch of integrated energy system based on integrated demand response and games[J], Power System Technology, 43, 7, pp. 2506-2518, (2019)
  • [7] Peng LI, WU Difan, LI Yuwei, Et al., Optimal dispatch of multi-microgrids integrated energy system based on integrated demand response and Stackelberg game[J], Proceedings of the CSEE, 41, 4, pp. 1307-1321, (2021)
  • [8] LIN Shunfu, LIU Chitao, LI Dongdong, Et al., Bi-level multiple scenarios collaborative optimization configuration of CCHP regional multi-microgrid system considering power interaction among microgrids[J], Proceedings of the CSEE, 40, 5, pp. 1409-1421, (2020)
  • [9] WU Lilan, JING Zhaoxia, WU Qinghua, Et al., Equilibrium strategies for integrated energy systems based on Stackelberg game model [J], Automation of Electric Power Systems, 42, 4, pp. 142-150, (2018)
  • [10] SHUAI Xuanyue, WANG Xiuli, WU Xiong, Et al., Cooperative optimal scheduling of multi-microgrids based on cooperative game considering conditional value at risk[J], Power System Technology, 46, 1, pp. 130-138, (2022)