Open AccessPower quality control through automated demand side management in microgrid equipped with battery energy storage for protection
Author(s) -
Kaushal Jitender,
Basak Prasenjit
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.2019.1042
Subject(s) - microgrid , backup , energy storage , computer science , context (archaeology) , reliability engineering , relay , total harmonic distortion , electric power system , power management , automotive engineering , control engineering , engineering , power (physics) , voltage , electrical engineering , physics , quantum mechanics , paleontology , database , biology
Apparently, battery energy storage (BES), intelligent protection and power quality are considered as independent issues. These three factors can be interlinked effectively for control of microgrid through automated demand side management (ADSM). In this context, the proposed approach may change the conventional way for microgrid operation and control giving priority to the power quality issues considering protection and BES systems. The control algorithm is implemented through fuzzy inference system based power quality monitoring index and ADSM. As a part of intelligent protection, logic table for circuit breaker (CB) coordination has been developed without/with backup for relay devices to provide ADSM. The model has been simulated using Matlab‐software and validated experimentally using OPAL‐RT OP4510 real‐time simulator through the assessment of power quality‐related parameters such as voltage, frequency, total harmonic distortion and power factor. The results are found satisfactory showing the feasibility of the proposed microgrid model.