Abstract
Demand side management (DSM) is an effective approach to reduce peak load and maintain the power supply-demand balance in a microgrid. However, most existing methods mainly minimize the electricity cost and total power loss based on the real-time price, there is little consideration of the influences to users' comfort degree. In this paper, home energy management system (HEMS) is proposed to support the load control based on users' comfort degree and utility maximization in a microgrid. This system contains four typical load models including air conditioning, lighting, electric vehicle and washing machine. Every load user aims to maximize its individual comfort d egree and minimize the electricity cost, while each generation supplier aims to maximize its total revenue received from the load users. The distributed algorithm assigns an agent to each load user (generation supplier) to compute the optimal price and load demand (power supply). Finally, the effectiveness of proposed approach is validated by simulation studies.
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