Employment of vehicle to grid technology to decrease the economic-environmental costs equipped with mixed-integer non-linear programming approach

Document Type : Original Article


1 School of Economics and Management, Guangdong Songshan Polytechnic College, Shaoguan, Guangdong , 512000, China

2 School of Management, Universiti Sains Malaysia, Minden, Penang 11800, Malaysia


In the present work, the programming of thermal production units is adopted by vehicle to grid (V2G) technology. The suggested approach solution is made by the mixed-integer non-linear programming (MINLP) method in the GAMS simulation environment. The main objective of this study is to obtain an answer to minimize the considered objective function (OF). Some limitations are also considered in this optimization problem that should be met by the proposed method. The proposed method of this work is evaluated to validate its efficiency. In this regard, this proposed technique is tested on IEEE 10-unit case study that contains 5000 EVs (electrical vehicles). According to the obtained results, the utilized V2G can considerably influence the unit commitment (UC) problem. EVs bring on new loads to the electrical network that grows the expenditure of power production. Nevertheless, the coordinated charging method along with rational utilization of V2G power can decrease this expenditure. Also, take into considering the minimizing operating expenses as the programing goal presents the better overall economic and environmental performance in the thermal unit with V2G cases.