Optimization and Investment of Energy Storage System Implementation and Demand Response Pattern for Microgrid Cost Reduction with Approach of Bee Colony Algorithm

Microgrid has a precious role in new power systems. Load balancing, voltage stability and load supporting in peak times are some great issues of microgrid. Besides these advantages, some challenges such as cost of microgrid must be considered. Energy storage system (ESS) and Demand response (DR) program can improve the performance of the microgrid in terms of more voltage stability and cost reduction. In this paper using the renewable distributed generators, ESS and DR program, the cost function is defined where cost minimization of microgrid is performed based on the evolutionary algorithm, bee colony optimization (BCO). It is worth mentioning that battery wear and maintenance cost is also considered in the cost function. Simulation results show that considering the optimized location and capacity of ESS and efficient DR program, the overall cost is noticeably reduced and the microgrid performance is greatly improved.