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Optimization with traffic-based control for designing standalone streetlight system: A case study

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  • Ramadhani, Farah
  • Bakar, Kamalrulnizam Abu
  • Hussain, M.A.
  • Erixno, Oon
  • Nazir, Refdinal

Abstract

Standalone street lighting as a preferred application for road lighting faces two important issues: supply performance and energy cost. According to past research, optimization of hybrid renewable energy system (HRES) in street light supply seems the best known approach to deal with these issues. However, the complex design of street light supply with non-linearity of power units and uncertainty of load pattern makes optimization a challenge. This study employs genetic algorithm (GA) optimization to deal with these complex and uncertain systems. In order to optimize streetlight supply, it takes into account the energy cost for a single-objective problem and both the energy cost and supply performance for a multi-objective problem. This study also integrates traffic-based lighting control to overcome the power consumption issue in the load side affecting the optimum design of the streetlight supply. The system including real weather data, real traffic conditions and optimization algorithm are simulated using MATLAB. Based on the results, the proposed method reduces the power consumption by around 47% for a one-year simulation study. Moreover, the optimal design of streetlight supply potentially minimizes power loss by approximately 39% and energy cost by about 29%.

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  • Ramadhani, Farah & Bakar, Kamalrulnizam Abu & Hussain, M.A. & Erixno, Oon & Nazir, Refdinal, 2017. "Optimization with traffic-based control for designing standalone streetlight system: A case study," Renewable Energy, Elsevier, vol. 105(C), pages 149-159.
    • Handle: RePEc:eee:renene:v:105:y:2017:i:c:p:149-159
    DOI: 10.1016/j.renene.2016.12.050
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    3. Erixno, Oon & Rahim, Nasrudin Abd, 2020. "A techno-environmental assessment of hybrid photovoltaic-thermal based combined heat and power system on a residential home," Renewable Energy, Elsevier, vol. 156(C), pages 1186-1202.
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    5. Chaiyan Jettanasen & Atthapol Ngaopitakkul, 2019. "The Conducted Emission Attenuation of Micro-Inverters for Nanogrid Systems," Sustainability, MDPI, vol. 12(1), pages 1-31, December.
    6. Ramadhani, Farah & Hussain, M.A. & Mokhlis, Hazlie & Fazly, Muhamad & Ali, Jarinah Mohd., 2019. "Evaluation of solid oxide fuel cell based polygeneration system in residential areas integrating with electric charging and hydrogen fueling stations for vehicles," Applied Energy, Elsevier, vol. 238(C), pages 1373-1388.
    7. Wang, Nan & Wang, Dongxuan & Xing, Yazhou & Shao, Limin & Afzal, Sadegh, 2020. "Application of co-evolution RNA genetic algorithm for obtaining optimal parameters of SOFC model," Renewable Energy, Elsevier, vol. 150(C), pages 221-233.

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