Fuzzy logic based energy management for grid connected hybrid PV system

Renewable energy resources are at the forefront for addressing the rapidly increasing energy demand. Renewable energy resources possess numerous advantages over conventional energy resources, but the major issue is the intermittency of its supply. This issue is partially addressed by designing a hybrid system with energy sources and battery storage systems, which can also be connected to the grid. In this paper, an optimal energy management system is proposed for a hybrid PV-Battery storage system. Fuzzy logic is used to control the battery storage system and grid-connected inverter, and its associated control is used to control power flow in the grid-tie line. The control strategy is designed, so that power flow from the grid happens only during contingency and normal operation; the battery storage system handles any power fluctuation and ensures optimal utilization of resources. The proposed scheme also ensures that battery capacity requirement is minimal yet sufficient to address all day-to-day variations that the system would typically face. (C) 2022 The Author(s). Published by Elsevier Ltd.

Automated summary

This paper presents an optimal energy management system for a hybrid PV-battery storage system, utilizing fuzzy logic to control battery and grid-connected inverter for optimal resource utilization and power fluctuation handling.