Optimal Control for Energy Dispatch of A Smart Grid Tied PV-Wind-Battery Hybrid Power System

The aim of this paper is to develop an optimal control (OC) for energy scheduling of a grid-connected photovoltaic (PV)-wind turbine (WT)-battery storage system. The objective of the model is to reduce the electricity cost and maximizing the sale of electricity to the grid. The time-of-use (TOU) electricity tariff is evaluated in the optimal control computation. Two optimization methods involving 'Linear Programming OW and 'Genetic algorithm (GA)' techniques are used to solve this problem. A case study is performed based on an industrial load and the simulation results demonstrate that the developed control reduces the operational cost of the studied system and the customers can receive an important income from the renewable energy sale. In addition, the simulation results demonstrate that using the LP based OC, a significant cost and energy savings can be attained when compared with using the GA.