Economic dispatch for power system integrated with wind power using Stackelberg game
ZHANG Meng-lin
AI Xiao-meng
WEN Jin-yu
Abstract：Wind power generation has obvious randomness and volatility, which challenge the original scheduling mode of power systems. The paper adopts robust optimization method to cope with the wind power uncertainty, and it takes the wind farm as a virtual game player of the dispatching center by using the game theory contained in robust optimization. A Stackelberg game model for dispatching center and the wind farm is established by utilizing the bi-level programming method. In the model, the dispatching center is taken as the leader level whose decision objective is the lowest power system operation cost, and the wind farm is taken as the follower level whose decision objective is the maximum wind power safe interval which can ensure the power system operation safety in real-time. As the valve point effect of thermal power units is considered, the model presents the characteristics of bi-level nonlinear programming, and a nested solving method of an improved teaching-and-learning method and linear programming is proposed. Finally, the revised 10-machine 39-node system is used to verify the effectiveness of the model and the solution method.
Keywords：economic dispatch of power systemrobust optimizationStackelberg gamesafe interval of wind powerteaching and learning algorithm
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 653-661 )