Distributed Hour-Ahead Demand Response in Microgrid with Wind Power Generation by Considering Power Flow Constraints

Abstract

With increasing penetration of distributed renewable energy, microgrids emerge to protect the main grid from the risk caused by the intermittence of distributed renewable generation. Also, the controllable loads in microgrid provide an opportunity for operators to schedule more efficiently and economically. So, this paper proposes a price-based hour-ahead demand response program to maximize the benefit of all the suppliers and consumers in a microgrid with wind power generation. The electricity prices are designed by the convex optimization algorithm, namely the PCPM method. This distributed algorithm only requires the local information and neighboring communication, which protects the privacy of participants and promotes the marketization of microgrid. In optimization process, the power flow constraints and power loss minimization are also considered. Finally, the demonstration cases are given to validate the effectiveness of the proposed demand response program.