Open AccessA new hybrid firefly optimized P‐Q and V‐f controller coordination for PV‐DG–based microgrid stabilization
Author(s) -
Satapathy Prachitara,
Dhar Snehamoy,
Dash Pradipta Kishore
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2568
Subject(s) - microgrid , photovoltaic system , voltage droop , firefly algorithm , controller (irrigation) , distributed generation , matlab , engineering , control theory (sociology) , computer science , test bench , voltage , electronic engineering , control engineering , voltage source , particle swarm optimization , embedded system , electrical engineering , control (management) , renewable energy , machine learning , operating system , agronomy , artificial intelligence , biology
Summary In this paper, optimized controller design for multiple distributed generators (DGs) based microgrid network is discussed, where IEEE 1547 standards are followed for primary photovoltaic DG. According to standards, the primary photovoltaic/auxiliary battery energy storage system is integrated through voltage source converter's feedback controller, with operational modes: active reactive ( P − Q ) power control for grid synchronized operation and voltage frequency ( V ‐ f ) droop control for islanded microgrid. To overcome the inadequacy of conventional controller tuning in a multiple DGs‐based weak microgrid architecture, a new mutation based improved firefly algorithm is proposed in this paper. The worst stability operation is considered for voltage source converter's P ‐ Q and V ‐ f coordination during insufficiency in battery energy storage system management. The effectiveness of the proposed technique is validated on MATLAB Editor/ Simulink platform. Further, a hardware‐in‐loop test bench validation is achieved by TMS320 C6713 based DSP Starter Kit and embedded MATLAB coder.