Multi-objective decision model of critical peak pricing considering capability of wind power accommodation subject to peak regulation

Aiming at improving the capability of wind power accommodation and reducing the wasted wind, this paper proposed demand response (DR) to solve the difficulty of peak regulation and lack of peak power. The multi-objective decision model of time-variable critical peak pricing (CPP) was established, which comprehensively considered the interests of the wind farms, power users and power supply company. The improved non-dominated sorting genetic algorithm (NSGA-II) was used in external electricity price decisions, while the minimum technical output was translated into the inner unit commitment (UC) optimization problem. From UC perspective, the effects of CPP to capability of wind power accommodation were evaluated. The simulation results show that CPP cut down the peak load, reduce the number of online thermal power unit and effectively improve the capability of wind power accommodation. Based on NSGA-II, a series of Pareto solutions were worked out as the references for policy maker.