ANN for Optimal Operation of BESS in a Grid Integrated Wind Farm

The combination of windfarm and battery energy storage system (BESS) can be developed massively by the fact that many countries are planning to add more penetrations to the grid system in large scale. In large scale capacity, fluctuation of renewable energy resource might increase the loss of a system. That problem is also affected by the state of charge (SOC) of battery. The objective of this paper is to simulate the load flow and optimize the BESS operation using python integrated with DIgSILENT PowerFactory. Further, we compare the system power losses of three cases, i.e.: the system that is only supported by windfarm, adding BESS to the system and optimizing BESS operation. The optimization of BESS operation is done by using ANN (Artificial Neural Network). The optimized BESS operation reduced the average system power losses by 13% from the system that only utilizes windfarm.