Open AccessStability improvement of PV‐BESS diesel generator‐based microgrid with a new modified harmony search‐based hybrid firefly algorithm
Author(s) -
Satapathy Prachitara,
Dhar Snehamoy,
Dash Pradipta Kishore
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2016.0116
Subject(s) - firefly algorithm , harmony search , microgrid , control theory (sociology) , photovoltaic system , particle swarm optimization , computer science , population , mathematical optimization , engineering , algorithm , mathematics , control (management) , demography , artificial intelligence , sociology , electrical engineering
Using a new improved harmony search‐based hybrid firefly algorithm (IHBFA), a comprehensive controller gain parameter estimation of all distributed resources‐based microgrid is proposed. To ensure a fast convergence and to endeavour less randomisation to conventional firefly algorithm (FA), diversity of population is increased by an improved harmony search (HS) algorithm. To decrease local optima searching delay, a linear incremental pitch adjustment rate and exponential decaying bandwidth is considered for proposed HS‐based hybrid FA. Photovoltaic (PV), an auxiliary battery energy storage system (BESS) with the second‐order phase‐locked loop control, is considered as a primary DG ( DG 1) for the proposed microgrid. Padѐ approximation delay‐based governor control is used for the diesel generator unit, considered as a secondary DG ( DG 2). The overall gain optimisation improves the dynamic stability limits by minimising low‐frequency network behaviour. The effectiveness of proposed IHBFA in terms of power oscillation damping and improved stability limits is clearly demonstrated for microgrid applications.