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Optimization and control of solar–wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
Journal article

Optimization and control of solar–wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller

S Shezan, M Ishraque, G Shafiullah and I Kamwa
TERI information digest on energy and environment, Vol.23(1/2), 45
2024

Abstract

Algorithms Distributed generation Energy management systems Fuzzy control Fuzzy logic Fuzzy systems Geothermal energy Optimization Photovoltaic cells Photovoltaics Power sources Renewable energy Renewable resources Uninterruptible power supplies Wind power Wind turbines
Increasing interest in renewable energy-based power systems globally is driven by their abundance and environmentally friendly attributes. Islanded hybrid microgrid systems (IHMS) are a relatively new development in this field and involve the integration of two or more sustainable sources, such as wind turbines, solar photovoltaic (PV) systems, and other forms of renewable energy such as the ocean, wave, and geothermal energy. In order to ensure an uninterrupted power supply for the growing community and industrial sector of Perhentian Island, Malaysia, alternative power sources must be properly synchronized and managed through an energy management system. To this end, the main contribution of this study is the comprehensive analysis of various optimization methods in terms of net present cost (NPC) and convergence rate. The several deterministic and stochastic optimization approaches are applied to obtain the optimal number of different energygenerating modules, the most economically attractive to be able to fulfil the load demand for a small community in Pulau Perhentian, Malaysia, considering the meteorological pattern of the area.

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