Robust environment economic scheduling of multi-microgrids in active distribution network

Along with the economy and environment of the MMGs scheduling problem, the power interaction between multi microgrids and the uncertainty of renewable energy and load forecasting are considered in this paper so as to establish a robust environment economic scheduling model for the active distribution network. The Latin hypercube sampling method and the average effective objective function are used to transform the uncertain model into deterministic model, and the Pareto optimal solution of four scenarios are derived by using multi-objective bacterial colony chemotaxis algorithm (MOBCC). The results show that the power interaction between microgrids can reduce the dependence of the microgrid (MG) on gas turbine, energy storage devices and large sale power grid. It can also reduce the cost and enhance the reliability of the power grid. The simulation results show that the robust solution is obtained at the expense of the economic and environmental costs, the greater the prediction error is, the greater the cost of the robust solution is, therefore, prediction accuracy is very important to the microgrid scheduling. © 2020, Solar Energy Periodical Office Co., Ltd. All right reserved.