基于分时电价的智能电网居民需求侧优先级管理

G. Muthuselvi, B. Saravanan
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引用次数: 1

摘要

本文提出利用基于用户优先级的负荷转移来抑制高峰时段的高峰需求。电力系统中各参与方的响应行为是成功解决电力系统需求侧管理问题的关键因素。它提供了消费成本节约和智能用电。转移技术是通过在电力公司和消费者之间建立双层通信来提高消费者参与DR计划的解决方案。在分析中考虑了ToU(使用时间)动态定价方案。采用自适应差分进化算法(ADEA)有效地解决了可移动设备的最优调度问题。
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Priority-based Residential Demand Side Management in Smart Grid Using ToU Pricing
This paper proposes curbing peak demand during peak periods using consumer's priority-based load shifting. The response behaviour of each participant in DR is the vital factor of a successful solution to Demand-side management (DSM) problems in the power system. It provides consumption cost savings and smart utilization of electricity. Shifting techniques are the solution that improves the participation factor of the consumer in the DR program and is achieved by making bi-level communication between utility and Consumer. ToU (Time of Use) dynamic pricing schemes are considered for the analysis. Adaptive Differential Evolution Algorithm (ADEA) is used for the optimal scheduling of shiftable appliances efficiently.
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