Optimal day-ahead scheduling of autonomous operation for the hybrid micro-grid including PV, WT, diesel generator, and pump as turbine system

Abstract

A diesel generator can be used in joint with sustainable energy sources such as wind turbine, photovoltaic which develop an ideal option for autonomous power generation in islanded mode. However, the stochastic inherent of irradiation and wind speed as well as the variable load demand prevent these generation systems from being totally reliable without suitable energy storage system. However, considering other research works show a pump as turbine system is used more less as energy storage in the agricultural industry and isolated rural micro-grid. Also, practical constraints of pump as turbine system may be challenging not considered in the later papers. Hence, this paper intends to present an optimal operation and energy management method for a hybrid micro-grid, including photovoltaic, wind turbine, pump as turbine system, and diesel generator, with study on day-ahead scheduling. The optimal energy management minimize the fuel cost of diesel generator, daily operating cost as well as the balance between generation and load for both warm and cold days. In this paper, imperialist competitive algorithm, which is not commonly used in the applications above, is used because of its high convergence rate and accuracy. To verify proposed method, results are compared to artificial bee colony and particle swarm optimization to determine the optimal diesel generator generation, pumped storage operating mode, pumping and turbine real power. The simulation results show the effectiveness and improvement of the TSA compared to other works.