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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   Open access   Peer reviewed

Optimization and Control of Solar-Wind Islanded Hybrid Microgrid by using Heuristic and Deterministic Optimization algorithms and Fuzzy Logic Controller

Sk. A. Shezan, Md. Fatin Ishraque, G M Shafiullah, Innocent Kamwa, Liton Chandra Paul, S M Muyeen, Ramakrishna Nss, Mohammed Zeehan Saleheen and Polamarasetty P Kumar
Energy reports, Vol.10, pp.3272-3288
2023
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Published8.42 MBDownloadView
CC BY V4.0 Open Access

Abstract

Control System Islanded Microgrid Optimization Power System Techno-economic Analysis
The 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 results of the analysis indicate that HOMER proved to be relatively faster in terms of convergence rate, with the NPC recorded as 387,185$ and the LCOE recorded as 0.64$/kWh, which are the least among the other techniques evaluated. The hybrid energy system was designed to acquire the optimal quantity and size of power-generating modules, including PV systems, wind turbines, batteries, and diesel generators, while also meeting the load requirements. The optimization problem incorporated the LCOE and NPC into the cost function. Various optimization techniques were developed and tested. In addition, an advanced control method, which includes the use of PID control and FLC with automated tuning, was applied to manage voltage and frequency. The control strategy was implemented in MATLAB Simulink, along with a full model of the islanded hybrid microgrid system. The simulation results demonstrate the effectiveness of the proposed FLC in maintaining the voltage and frequency within the acceptable range during various operating conditions. In conclusion, this manuscript provides a comprehensive study on the optimization and control of a solar-wind islanded hybrid microgrid. The proposed approach can be used as a valuable tool for the design and operation of solar-wind islanded hybrid microgrids in remote and islanded communities.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#7 Affordable and Clean Energy
#9 Industry, Innovation and Infrastructure

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