MPSO based energy dispatch strategy for microgrid considering TOU demand response

This paper introduces an effective and accurate method for scheduling the energy dispatch for a microgrid system. In contrast with previous work, the probabilistic models based on the famous Weibull probability density function have been utilized to calculate the intermittent power generation, especially for a microgrid system with high penetration of renewable generation. The modified particle swarm optimization (MPSO) was adopted to solve the optimization problem. All the case studies presented in the paper are based on the operational microgrid system, developed by the Institute of Nuclear Energy Research (INER) in Taiwan. The purchasing electric rate for renewable energy and the time of use (TOU) electricity prices, regulated by the Taiwan Power Company (TPC) have been included in the cost function in order to obtain the most economic solution. All outcomes are helpful to lower system operation cost and enhance the application of high penetration of renewable energy resources both on islanded and grid-connected modes.