International Journal of Advanced Engineering Application

Adaptive Power Management of Hybrid Solar–Wind Microgrids Using PSO-Tuned Fuzzy Logic Control for Reliable Rural Electrification

Author(s):Arvind K. Deshmukh

Affiliation: Department of Electrical and Electronics Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

Page No: 1-5

Volume issue & Publishing Year: Volume 3, Issue 7, 2026/07/01

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

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Abstract:
Rural and off-grid communities across India continue to face unreliable electricity access, with diesel-based backup and grid-extension projects imposing high lifecycle costs and carbon burdens; hybrid renewable microgrids combining photovoltaic (PV) and wind generation with battery energy storage offer a technically viable but operationally complex alternative whose performance depends critically on the power management strategy governing energy dispatch between sources, storage, and load. This study develops and experimentally validates an adaptive power management architecture for a 10 kW PV–5 kW wind hybrid microgrid with 20 kWh lithium-ion battery storage, comparing three control strategies — fixed-threshold rule-based control, standalone fuzzy-logic maximum power point tracking (MPPT), and a Particle Swarm Optimisation (PSO)-tuned fuzzy logic controller (PSO-FLC) — across seasonal energy yield, battery state-of-charge (SOC) regulation, grid-frequency transient response to step load disturbances, total harmonic distortion (THD) under irradiance variability, loss of power supply probability (LPSP), levelised cost of energy (LCOE), and 20-year lifecycle net present cost (NPC) relative to diesel-generator and grid-extension baselines. The PSO-FLC configuration achieves the highest mean daily energy yield across all three seasons tested (24.6 kWh/day in summer versus 19.8 kWh/day for fixed-threshold control), reduces LPSP to 2.1% from 18.4% for PV-only operation, and maintains THD below the IEEE 519 limit of 5% across irradiance fluctuations up to 40% of the seasonal mean. Lifecycle cost analysis shows the PSO-FLC microgrid achieves a 20-year NPC of ₹11.8 lakh versus ₹18.4 lakh for diesel generation, with lifecycle CO₂ emissions of 9 tonnes against 186 tonnes for the diesel baseline, and a simple payback period under 6 years at base-case battery costs and moderate diesel price escalation. These results establish PSO-tuned fuzzy control as a robust, cost-effective strategy for rural microgrid deployment in variable-irradiance, variable-load Indian field conditions.

Keywords: hybrid microgrid, solar PV, wind energy, battery energy storage, fuzzy logic control, particle swarm optimisation, MPPT, rural electrification, total harmonic distortion, levelised cost of energy

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