Electricity Sale Strategy and Trade Negotiation Optimization Model for Power Generator under Electricity Sale Liberalization Policy

doi:10.3969/j.issn.1000－7229.2017.03.017

Abstract

Abstract: This paper analyses the main trading modes in the future between the generation side and the retail side under the policy background of releasing in the retail side. Taking the“multi-to-one” trading model as the object, and maximizing the benefits of the generators as the goal, this paper constructs an optimization model for the generation party under thermal power generating power constraints. Based on the model, this paper uses the average method and the static Bias Nash equilibrium theory to establish a pricing strategy model of generators. The simulation results show that when the contract volume reaches 72.91% of the total output of generators, the generators benefits will reach the maximum. Power generators pre-estimations to the price that electricity purchasers may come up and their deduction of the average probability distribution of competitors will influence both the final price and the expected revenue.

Key words: , electric power reform, electricity market, trading negotiation, bidding strategy

CLC Number:

TM 715

LI Huanhuan, ZHANG Chen, WU Jing, ZHANG Yuxie, TAN Zhongfu. Electricity Sale Strategy and Trade Negotiation Optimization Model for Power Generator under Electricity Sale Liberalization Policy

[J]. Electric Power Construction, 2017, 38(3): 123-.

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