Open AccessBattery state‐of‐charge‐based control and frequency regulation in the MMG system using fuzzy logic
Author(s) -
Sahoo Saroja Kanti,
Kishore Nudurupati Krishna
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.1638
Subject(s) - microgrid , state of charge , battery (electricity) , photovoltaic system , fuzzy logic , transient (computer programming) , control theory (sociology) , computer science , transient state , fuzzy control system , power (physics) , voltage , engineering , electrical engineering , control (management) , physics , quantum mechanics , artificial intelligence , operating system
A multi‐microgrid (MMG) system comprises of a group of self‐sufficient microgrids capable of operating in grid‐connected, islanded, or interconnected modes. A three‐microgrid‐based MMG system consisting of a solar photovoltaic system, doubly‐fed induction generator‐based wind generation, and static synchronous compensator as distributed energy sources are considered. Each microgrid includes a battery interfaced with a bidirectional DC–DC converter. As there are multiple battery units in the MMG system, different states‐of‐charge (SoC) are evident in the batteries. Hence, there is a need to charge/discharge by following the SoC of the batteries. In this study, an intelligent scheme employing fuzzy logic is applied to monitor the SoC of the batteries and determine the reference current for current control through the bidirectional DC–DC converter in an MMG system. Microgrid frequency control in the MMG system is carried out using the proposed five‐membership function‐based fuzzy logic control. During sudden transient events, the proposed intelligent frequency control strategy shows an improved transient response as compared to conventional PI control. A multi‐input and multi‐output fuzzy logic‐based power management algorithm is proposed to handle multiple sources, batteries, and loads in the system. The MMG system with the proposed control is simulated using real‐time digital simulator OP4510 from OPAL‐RT.