Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm

Haidar, Ahmed M.A. and Fakhar, Adila and Helwig, Andreas (2020) Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm. Sustainable Cities and Society, 62:102391. ISSN 2210-6707


Abstract

With the development of scattered energy resources in the rural areas of Sarawak (Malaysia), various operational problems due to the unplanned installation of autonomous microgrids become gradually remarkable. To address this concern, the paper proposes an optimal strategy to evaluate the performance of different hybrid microgrid configurations for the Long San Village in Sarawak. A mathematical model is presented for sizing the component of the system to meet the maximum load demand under changing weather conditions and at the lowest possible cost. The developed approach simulates different microgrid models using deterministic and stochastic optimization methods to find the exact dynamic energy price of the selected optimal configuration in the context of system uncertainties. Furthermore, the operational feasibility of the system in terms of reliability and voltage security is studied in addition to economic feasibility with a comparative analysis of the environmental impact. The results show that the optimal configuration with the lowest cost of energy and net present cost can be achieved if the installed solar PV is less than 61 kW with 85 kWh of energy storage and 11 kW of hydro generation, where such system has 55,725 (kg/year) Carbon Dioxide and 330 (kg/year) Nitrogen Oxides. The findings also indicate that the dynamic energy pricing increases to 0.71 $/kWh when the power generation from renewable resources drops to zero. Further, the dynamic analysis shows that in order to reduce the voltage drop during disturbances, it is crucial to carefully install the sources in the buses connected to high energy demand.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Date Deposited: 20 Aug 2020 02:04
Last Modified: 03 Nov 2020 23:37
Uncontrolled Keywords: Cost minimization; Hybrid energy systems; Multi-objective optimization; Operational analysis; Regression analysis; Rural areas electrification
Fields of Research (2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified
Socio-Economic Objectives (2008): B Economic Development > 85 Energy > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy
B Economic Development > 85 Energy > 8506 Energy Storage, Distribution and Supply > 850699 Energy Storage, Distribution and Supply not elsewhere classified
B Economic Development > 85 Energy > 8505 Renewable Energy > 850503 Hydro-Electric Energy
Identification Number or DOI: https://doi.org/10.1016/j.scs.2020.102391
URI: http://eprints.usq.edu.au/id/eprint/39141

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