论文标题
基于自适应消费水平定价方案的动态住宅负载调度
Dynamic residential load scheduling based on an adaptive consumption level pricing scheme
论文作者
论文摘要
智能电网的需求响应（DR），旨在平衡所需的电力需求与可用供应资源的需求响应（DR）已引起广泛关注。对电力的需求不断增长，为住宅负载调度系统提供了新的机会，可以通过换档或减少价格变更或紧急情况所需的需求来改善能源消耗。在本文中，提出了一个动态住宅负载调度系统（DRL），以根据自适应消费水平（CL）定价方案（ACLP）最佳调度家庭设备。拟议的负载调度系统鼓励客户在拟议的博士定价计划的允许消耗津贴（CA）中管理其能源消耗，以实现较低的能源费用。仿真结果表明，采用拟议的DRLS系统通过减少总负载需求的峰值负载来减少其能源费用和公用事业公司，从而使客户受益。对于给定的案例研究，拟议的基于ACLP的住宅负载调度系统使客户可以将其能源账单减少多达53％，并将峰值负载降低高达35％。
Demand response (DR) for smart grids, which intends to balance the required power demand with the available supply resources, has been gaining widespread attention. The growing demand for electricity has presented new opportunities for residential load scheduling systems to improve energy consumption by shifting or curtailing the demand required with respect to price change or emergency cases. In this paper, a dynamic residential load scheduling system (DRLS) is proposed for optimal scheduling of household appliances on the basis of an adaptive consumption level (CL) pricing scheme (ACLPS). The proposed load scheduling system encourages customers to manage their energy consumption within the allowable consumption allowance (CA) of the proposed DR pricing scheme to achieve lower energy bills. Simulation results show that employing the proposed DRLS system benefits the customers by reducing their energy bill and the utility companies by decreasing the peak load of the aggregated load demand. For a given case study, the proposed residential load scheduling system based on ACLPS allows customers to reduce their energy bills by up to 53% and to decrease the peak load by up to 35%.
