Optimal Sizing of Utility-scaled Battery with Consideration of Battery Installtion Cost and System Power Generation Cost

This paper evaluates the BESS size for compensating fluctuating generation of wind and solar. The analysis model is based on the unit commitment and the economic dispatch which considers the cost of system power generation and the cost of expected energy not supplied (EENS). The proposed model is demonstrated by using the power generation data of Thailand's generation system. Moreover, this model uses the genetic algorithm to perform the economic dispatch at significant time periods. In the experimental results, the optimal installation capacity of BESS can reduce the expected power outage cost of the system, the fuel cost of the generation system and the cost of committed power plants.