Demand response for residential loads using artificial bee colony algorithm to minimize energy cost

V. Margaret, K. Uma Rao
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引用次数: 15

Abstract

Power performance expectations are increasing, impacting designs and requiring advanced technology to improve system reliability. Demand Response (DR) is a highly flexible customer driven program in which customer voluntarily changes his energy usage patterns during the peak demand to maintain the system stability and reliability and thereby improves the performance of the gird. This paper proposes a novel algorithm for optimization of the DR schedule of the residential loads for various hours of the day using Artificial Bee Colony (ABC) algorithm. Here, the objective function is subjected to the constraints like cost constraints, time constraints and load demand. The results show that the proposed approach enhances potential in solving problems with good reliability compared with existing approaches.
基于人工蜂群算法的住宅负荷需求响应最小化能耗
人们对电源性能的期望越来越高,这影响了设计,并需要先进的技术来提高系统的可靠性。需求响应(Demand Response, DR)是一种高度灵活的用户驱动方案,用户在需求高峰时自愿改变其能源使用模式,以维持系统的稳定性和可靠性,从而提高电网的性能。本文提出了一种基于人工蜂群(Artificial Bee Colony, ABC)算法的住宅负荷各时段DR调度优化算法。在这里,目标函数受到成本约束、时间约束和负荷需求约束。结果表明,与现有方法相比,该方法在求解具有良好可靠性的问题方面具有更大的潜力。
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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