Multiobjective Scheduling-based Energy Management System Considering Renewable Energy and Energy Storage Systems: A Case Study and Experimental Result

The fast-growing development of smart grid and renewable energy increases the challenge in balancing the production on local energy consumption. The power scheduling of energy storage has directed to growing interests in energy storage system to increase the use of renewables. In this study, a practical laboratory energy management system considering renewable energy and battery is established. Besides, two control strategies including 'scheduling' and 'ON/OFF' operation of the grid in the photovoltaic-wind-battery hybrid systems are modeled. This paper proposes a day-ahead optimizing planning using mixed-integer linear programming, aiming to achieve economic benefit by reducing operational costs of the grid. Related to demand-side management, a control technique is developed for a proper scheduling of the power from the hybrid system. The ultimate objective of the aimed strategy is to maximize the advantages of renewable energy in different running conditions such as weather fluctuation and grid support. In addition, a day-ahead optimization for operational costs, as well as a prediction model for PV and WT, is used. The data of renewable productions and load demand are used. The obtained results prove that applying the scheduling strategy for PV-WT-battery and grid operation control models, significant grid decreasing can be achieved related to the case where the grid is managed alone to satisfy the same load demand.