Return on values of battery storage integrated grid: an impact analysis of tangible and intangible benefits using fuzzy optimized algorithm

This paper deals with a comprehensive feasibility analysis of a grid-connected microgrid (MG) integrated battery energy storage system (BESS) considering its multifaceted impact on tangible and intangible benefits of techno-economic, social, and environmental aspects to achieve a greater sustainable energy alternative. The adaptive fuzzy logic controller (FLC) for the inverter control system is developed to provide a stable and efficient operation of the MG system as to address the inverter control challenges and fluctuating renewable sources generation. A novel lightning search algorithm (LSA) was employed to optimize membership functions (MFs) of FLC in the control system improving convergence and control accuracy of the FLC. Beyond technical performance, the analysis was conducted through a value-based framework, inspired by the 8R and 8I philosophy, to optimize the integration of BESS into the grid considering the return on value (ROV) concept. The detailed tangible and intangible outcomes for techno-economic, social, and environmental values are discussed through the 8R-8I framework in achieving maximum ROV and benefits. It is observed that the use of FLC-based LSA optimization results in a 9.1 % reduction in voltage overshoot and an 81.6 % reduction in the time required to achieve a steady-state operation under 24-hour operation. This strategy emphasizes the significance of considering diverse dimensions of value in the development and implementation of control strategy in the MG system, thereby contributing to the achievement of a net-zero pathway.