Stackelberg Game Decision for Lord-Source Associated Day-Ahead Peak Load Regulation

doi:10.16182/j.issn1004731x.joss.201808030

Abstract

Abstract: The probability distribution of wind power prediction error is obtained based on direct statistics, and the influence of the error on the day-ahead peak load regulation decision is analyzed. Energy-intensive load and conventional source are combined to improve the system’s dynamic peak load regulation capability. Since the power source and the energy-intensive load belong to different regulation systems and need to be regulated in a non-centralized way, the multi-objective optimization is not suitable and the game theory is adopted. The reliability goal minimizing the risk punishment and the economic goal minimizing the cost of peak load regulation are taken as two participants in game theory; and the reliability is emphasized to establish Stackelberg game decision model for load-source associated day-ahead peak load regulation. This game decision model is firstly converted into a two-layer programming model, and then further converted into the generalized optimization model. By solving the generalized optimization model, the peak regulation plan with the master-slave target reaching equilibrium is obtained. The simulation results show its feasibility and effectiveness.

Key words: wind power prediction error, risks of lack of electricity and wind abandonment, load-source association, dynamic peak load regulation capacity, peak load regulation cost, Stackelberg game

CLC Number:

TM743

Liu Wenying, Li Yalong, Guo Peng, Liang Anqi, Wang Weizhou. Stackelberg Game Decision for Lord-Source Associated Day-Ahead Peak Load Regulation[J]. Journal of System Simulation, 2018, 30(8): 3066-3073.

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