An Energy Scheduling Algorithm for Commercial Loads Integrated with Wind Energy and Energy Storage System

Commercial loads such as food courts, commercial kitchens, and restaurants are growing day by day. Their power consumption shares a considerable amount of the total power consumption of any country. This paper represents an optimal energy scheduling algorithm for commercial loads like food courts and commercial kitchens with a wind energy source as a small renewable source and a battery as an energy storage system (ESS). As the power generation through wind plant depends upon wind speed which is variable in nature, so in this paper Weibull probability distribution function is used to model this behaviour of wind mathematically. An ESS is also used to reduce the impact of this behaviour of wind on loads. This algorithm also proposes the control strategy for the operation of the air-conditioning system. Then this model utilizes the mixed-integer programming algorithm to optimize the total cost of electrical energy consumption of any food court or restaurant. The CPLEX solver of GAMS software is used to apply the above technique. In this model, a real-time pricing scheme is used as a demand response technique. Further, in the end, the results show the effect of this algorithm on the total cost of energy consumption on a daily basis.