Benefits to consumers under RTP with a statistical demand model

Wenxian Yang, Rongshan Yu, S. Rahardja
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引用次数: 4

Abstract

In this paper we address the distributional effects of costs and benefits of real-time pricing (RTP) schemes in future smart grid system. We first present an optimal RTP scheme which is based on two-layer optimization processes performed separately on consumer side and retailer side of an electricity network for social welfare maximization. We further proceed to classify consumers based on their load profiles and level-of- participation in demand response program under RTP scheme. The economic benefits of the RTP scheme to different types of consumers are analyzed and compared with those of flat pricing and time-of-use (ToU) pricing schemes. Numerical simulation results demonstrate that the proposed RTP scheme brings economic benefits to all consumers in particular those who are responsive to the price incentive provided by the RTP scheme.
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基于统计需求模型的RTP下消费者的利益
本文研究了未来智能电网系统中实时定价(RTP)方案的成本和收益分配效应。我们首先提出了一个基于两层优化过程的最优RTP方案,该优化过程分别在电力网络的消费者端和零售商端进行,以实现社会福利最大化。在RTP方案下,我们进一步根据消费者的负荷概况和参与需求响应计划的水平对消费者进行分类。分析了RTP方案对不同类型用户的经济效益,并与统一定价和分时电价方案进行了比较。数值模拟结果表明,所提出的RTP方案为所有消费者带来了经济效益,特别是那些响应RTP方案提供的价格激励的消费者。
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