Hybrid Optimization Model for Smart Grid Distributed Generation Using HOMER

Sharma, Harpreet; Mishra, Sachin

doi:10.1109/rdcape47089.2019.8979121

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…Two sizing methods were discovered to be the most widely used in the literature reviewed. These are HOMER 28 , 29 , and meta-heuristics 30 , 31 . Several comparative studies of the results provided by the two sizing methods show that meta heuristics provide the best results in terms of system cost and reliability when compared to HOMER software 32 – 34 .…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing and location of grid-interfaced PV, PHES, and ultra capacitor systems to replace LFO and HFO based power generations

Amoussou,

Tanyi,

Agajie

et al. 2024

Sci Rep

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The impacts of climate change, combined with the depletion of fossil fuel reserves, are forcing human civilizations to reconsider the design of electricity generation systems to gradually and extensively incorporate renewable energies. This study aims to investigate the technical and economic aspects of replacing all heavy fuel oil (HFO) and light fuel oil (LFO) thermal power plants connected to the electricity grid in southern Cameroon. The proposed renewable energy system consists of a solar photovoltaic (PV) field, a pumped hydroelectric energy storage (PHES) system, and an ultra-capacitor energy storage system. The economic and technical performance of the new renewable energy system was assessed using metrics such as total annualized project cost (TAC), loss of load probability (LOLP), and loss of power supply probability (LPSP). The Multi-Objective Bonobo Optimizer (MOBO) was used to both size the components of the new renewable energy system and choose the best location for the solar PV array. The results achieved using MOBO were superior to those obtained from other known optimization techniques. Using metaheuristics for renewable energy system sizing necessitated the creation of mathematical models of renewable energy system components and techno-economic decision criteria under MATLAB software. Based on the results for the deficit rate (LPSP) of zero, the installation of the photovoltaic field in Bafoussam had the lowest TAC of around 52.78 × 106€ when compared to the results for Yaoundé, Bamenda, Douala, and Limbe. Finally, the project profitability analysis determined that the project is financially viable when the energy produced by the renewable energy systems is sold at an average price of 0.12 €/kWh.

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Section: Introductionmentioning

confidence: 99%

Optimal sizing and location of grid-interfaced PV, PHES, and ultra capacitor systems to replace LFO and HFO based power generations

Amoussou,

Tanyi,

Agajie

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The optimization of a hybrid system that contains a photovoltaic installation and generating units using biomass to supply a university campus was implemented in Ref. [25]. The sizing of a hybrid system consisting of photovoltaic panels, wind generators, batteries, fuel cells to supply critical and non-critical loads in a smart grid was analyzed in Ref.…”

Section: Introductionmentioning

confidence: 99%