Economic Dispatch Including Wind Power Injection

Abstract

Wind power has attracted much attention as a promising renewable energy resource. It has potential benefits in curbing emissions and reducing the consumption of irreplaceable fuel reserves. Conventional economic dispatch problem uses deterministic models, which can not reflect situations considering the wind power injection. Since large-scale wind farms connected to power systems have characteristics of high capacity, dynamic and stochastic performance, stochastic models are more suitable. The paper is primarily intended to investigate the injection of wind power into conventional power networks and its impact on the generation resource management due to its stochastic and nondispatchable characteristics. An economic dispatch problem considering wind power injection is formulated. The stochastic programming theory is employed to develop a power dispatch scheme which is able to satisfy the operation constraints. A genetic algorithm based on the stochastic simulation technique is adopted to calculate the stochastic programming model. A numerical application example based on a typical IEEE test power system is used to demonstrate the correctness and effectiveness of the proposed optimization method.