Interactive Demand Response in a Locality of Smart Power System

K. Navya Krishnan, B. H. Rao, S. Arun, M. P. Selvan
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Abstract

Demand response programs in smart grid environment encourage the energy consumer to interact directly with the grid so that they can participate in electricity market actively. In this paper, a locality in smart power system is considered, where each consumer is intending to reduce the energy consumption cost by jointly scheduling their electric appliances. Non-cooperative game theory is applied to frame the distributed load scheduling game, where the consumers are considered as the players and the energy consumption schedules of their appliances as strategies. Genetic Algorithm (GA) is used as the optimization tool for individual consumer load scheduling to minimize the electricity bill. Interactive scheduling is done using both simultaneous method and sequential method.
局部智能电力系统的交互需求响应
智能电网环境下的需求响应方案鼓励能源消费者直接与电网互动,使其积极参与电力市场。本文考虑智能电力系统中的一个局部性,其中每个用户都希望通过共同调度他们的电器来降低能耗成本。将非合作博弈理论应用到分布式负荷调度博弈中,以消费者为博弈主体,以设备能耗调度为策略。将遗传算法作为个体用户负荷调度的优化工具,以实现电费的最小化。交互式调度采用同步调度和顺序调度两种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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