4.6 Article

Demand response strategy of game between power supply and power consumption under multi-type user mode

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2021.107348

Keywords

Demand response; Game theory; Dynamic electricity price; User's dissatisfaction; NSGA-II

Funding

  1. Humanities and Social Science Fund of Ministry of Education of China [20YJCZH108]
  2. National Natural Science Foundation of China [51507099]

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A dynamic pricing strategy based on a non-cooperative Stackelberg model is developed in this paper to address the contradiction between power supply and demand in the electricity market, taking into consideration different types of electricity users and their varying needs and impacts. Utility functions are used to represent the benefits and dissatisfaction of power supply and demand sides. The model is solved using the NSGA-II algorithm and validated through sensitivity analysis in actual cases.
Dynamic pricing strategy will play an increasingly important role in solving the contradiction between power supply and demand under the current electricity market environment. The performance of different users varies from the same pricing strategy, which further to exacerbate the difficulty of the optimal power dispatching. Therefore, a non-cooperative Stackelberg model based game theory is developed in this paper, which considers both the impact on load fluctuations in power grid and users' dissatisfaction with electricity consumption. Firstly, users are divided into different types by induction and classification in this model to realize the comprehensive consideration of different types of electricity users. Secondly, two utility functions are set up in this model. The utility function of power supply side is set to represent the benefit obtained in the process of power supply by the power company. The utility function of the power demand side is set to express the dissatisfaction degree of electricity users. The developed model is solved by using the NSGA-II algorithm in this paper. Finally, the developed model is applied to the actual case and the sensitivity analysis of relevant parameters is carried out to verify its effectiveness.

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