Optimal planning method of independent electricity retail company based on non-cooperative game

被引:0
|
作者
Lin W. [1 ]
Hu Z. [1 ]
Xie S. [1 ]
Ning Y. [1 ]
Yi C. [1 ]
Zheng Y. [1 ]
机构
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan
来源
Hu, Zhijian (zhijian_hu@163.com) | 1600年 / Electric Power Automation Equipment Press卷 / 40期
关键词
Electricity market; Game theory; Independent electricity retail company; Multi-stakeholder; Nash equilibrium; Non-cooperative game; Second-order cone programming;
D O I
10.16081/j.epae.202002028
中图分类号
学科分类号
摘要
With the continuous electric power system reform and the further opening up of electricity market, the newly added electricity sellers are connected to distribution network, which enrich the allocatable resources in the distribution side while increasing the planning difficulty. In order to guide the IERCs(Independent Electricity Retail Companies) to participate in the distribution network construction reasonably and form a good market environment, an optimal planning method based on non-cooperative game is proposed to determine the investment plan of power generation equipment of IERCs. Firstly, the comprehensive operation strategy and model of IERC are proposed. Then, based on the complete information non-cooperative static game, the non-cooperative game model is established by taking the comprehensive income of IERC as the optimization objective of each subject. Finally, the non-cooperative static game process is studied. In order to solve the complex mixed integer non-linear model, the second-order cone relaxation is used to transform the model into a mixed integer second-order cone programming problem, and an iterative search algorithm based on mathematical optimization is proposed to solve the Nash equilibrium solution of the model. Taking IEEE 33-bus system as an example, simulative results verify the rationality of the proposed model and the effectiveness of the algorithm. © 2020, Electric Power Automation Equipment Editorial Department. All right reserved.
引用
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页码:154 / 161
页数:7
相关论文
共 18 条
  • [1] Huang K., Electricity sell main body competition strategy under the background of electric power system reform, (2016)
  • [2] Ma Y., Xiao X., Huang Y., Pricing strategy considering "trade-in" value-added service of sensitive equipment, Electric Power Automation Equipment, 39, 2, pp. 164-172, (2019)
  • [3] Yin L., Liu J., Gao H., Et al., Study on bidding strategy of comprehensive power retailer under multiple user-price mechanisms, Power System Technology, 42, 1, pp. 88-95, (2018)
  • [4] Luo Q., Study of energy procurement and marketing decision in competitive retail market, (2014)
  • [5] Yang M., Ai X., Tang L., Et al., Optimal trading strategy in balancing market for electricity retailer considering risk aversion, Power System Technology, 40, 11, pp. 3300-3308, (2016)
  • [6] Xiao B., Guo B., Review and prospect of distribution network planning, Electric Power Automation Equipment, 38, 12, (2018)
  • [7] Xie S., Hu Z., Wang J., Et al., A multi-objective planning model of active distribution network based on uncertain random network theory and its solution algorithm, Transactions of China Electrotechnical Society, 34, 5, pp. 1038-1054, (2019)
  • [8] Gao H., Liu J., Coordinated planning considering different types of DG and load in active distribution network, Proceedings of the CSEE, 36, 18, pp. 4911-4922, (2016)
  • [9] Liu J., Cheng H., Xu Q., Et al., Multi-objective bi-level short-term planning of distribution system considering network transfer capability under network-generation coordination drive, Electric Power Automation Equipment, 38, 3, pp. 42-49, (2018)
  • [10] Dicorato M., Forte G., Pisani M., Et al., Planning and operating combined wind-storage system in electricity market, IEEE Transactions on Sustainable Energy, 3, 2, pp. 209-217, (2012)