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Renewable energy v.105, 2017년, pp.149 - 159   SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

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

Ramadhani, Farah (Chemical Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia ); Bakar, Kamalrulnizam Abu ( Faculty of Computing, University of Technology Malaysia, 81310, Johor, Malaysia ); Hussain, M.A. ( Chemical Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia ); Erixno, Oon ( Faculty of Computing, University of Technology Malaysia, 81310, Johor, Malaysia ); Nazir, Refdinal ( Electrical Engineering Department, Faculty of Engineering, University of Andalas, West Sumatera, 25163, Indonesia );
  • 초록  

    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%. Highlights Develop Genetic Algorithm optimization in designing HRES of standalone streetlight. Compares between single-objective and multi-objective optimization performances. Develop traffic-based lighting control to reduce power consumption. Combines optimization and control to improve the supply performance and energy cost. The study showed a reduction of power consumption, increased supply performance, and reduced energy cost of the system.


  • 주제어

    Streetlight .   HRES .   Optimization .   Genetic algorithm .   Control.  

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