ANN based optimized battery energy storage system size and loss analysis for distributed energy storage location in PV-microgrid

This paper proposes a method to determine the optimum Battery Energy Storage System (BESS) size, considering how the location of BESS affects the micro-grid and analysis of power loss for the consideration of different locations of BESS. The possibility of installing an optimum BESS as the distributed BESS at different locations is proposed. Artificial neural network (ANN) was established to evaluate the optimum size of BESS based on frequency and voltage regulation. To investigate and improve system performance, a BESS installation is considered as the distributed BESS at different locations. Then, power compensation to local loads is analyzed to obtain the improvement for entire system performance. Results show that the proposed ANN can achieve the very good performance in predicting the optimum size of BESS compared to the measured targets. In terms of BESS location, the optimum BESS size located at local loads shows better performance than the optimum BESS size located at a main substation.