关键词: 智能电网, 遗传算法, 阶梯电价, 用电需求管理, 负载转移

Abstract: Demand side management plays an important role in smart grid business, which allows consumers to choose a suitable electricity consuming strategy according to their demand, lowers the peak load in smart grid, and makes the load curve even. These characteristics lead to a more sustainable, economical smart grid, and a reduction on carbon emission. A demand side management strategy based on a load-shifting technique is proposed, which will be able to manage the demand that comes from large quantities and types of devices. The strategy is carried out with an improved genetic algorithm which imports a new operator. Simulation shows that the resulting strategy generated by the proposed algorithm saves appreciable cost, and reduces the peak load of the smart grid when involving a multistep electricity price.

Key words: smart grid, Genetic Algorithm（GA）, multistep electricity price, demand side management, load shifting