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Comprehensive efficiency evaluation model for electrical distribution system considering social and urban factors

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  • Dashti, Reza
  • Yousefi, Shaghayegh
  • Parsa Moghaddam, Mohsen

Abstract

This paper addresses a comprehensive efficiency evaluation model for electrical distribution system. Concerning the efficiency of different resources including energy, infrastructure and human resources, the overall distribution system efficiency is determined on the basis of relevant efficiency indicators. The employed efficiency indicators comprising loss, utilization factor, power factor, load factor, energy not supplied and human resource productivity express the efficiency of the above-mentioned resources. The proposed model takes into account the effect of certain external factors on the performance of distribution system. It has been shown that how external factors such as governance, social behavior and urban planning can directly influence the efficiency of the system. The correlation between efficiency indicators and external factors is derived using artificial neural network and a sensitivity analysis is conducted to illuminate the path of efficiency increment through managing the effective external factors. These indices can be used for improvement of the system performance in system planning. An empirical study is addressed here based on a real world distribution network to investigate the performance of the proposed model.

Suggested Citation

  • Dashti, Reza & Yousefi, Shaghayegh & Parsa Moghaddam, Mohsen, 2013. "Comprehensive efficiency evaluation model for electrical distribution system considering social and urban factors," Energy, Elsevier, vol. 60(C), pages 53-61.
    • Handle: RePEc:eee:energy:v:60:y:2013:i:c:p:53-61
    DOI: 10.1016/j.energy.2013.07.042
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    2. Arasteh, Hamidreza & Sepasian, Mohammad Sadegh & Vahidinasab, Vahid, 2016. "An aggregated model for coordinated planning and reconfiguration of electric distribution networks," Energy, Elsevier, vol. 94(C), pages 786-798.
    3. Luo, Tengqi & Xuan, Ang & Wang, Yafei & Li, Guanglei & Fang, Juan & Liu, Zhengguang, 2023. "Energy efficiency evaluation and optimization of active distribution networks with building integrated photovoltaic systems," Renewable Energy, Elsevier, vol. 219(P1).
    4. Hu, Zhuangli & Zhang, Yongjun & Li, Canbing & Li, Jing & Cao, Yijia & Luo, Diansheng & Cao, Huazhen, 2015. "Utilization efficiency of electrical equipment within life cycle assessment: Indexes, analysis and a case," Energy, Elsevier, vol. 88(C), pages 885-896.
    5. Jaume Fitó & Julien Ramousse, 2024. "Multi-Stakeholder Decision Support Based on Multicriteria Assessment: Application to Industrial Waste Heat Recovery for a District Heating Network in Grenoble, France," Energies, MDPI, vol. 17(9), pages 1-25, April.
    6. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    7. Qunli Wu & Chenyang Peng, 2016. "Comprehensive Benefit Evaluation of the Power Distribution Network Planning Project Based on Improved IAHP and Multi-Level Extension Assessment Method," Sustainability, MDPI, vol. 8(8), pages 1-18, August.
    8. Lobão, J.A. & Devezas, T. & Catalão, J.P.S., 2014. "Influence of cable losses on the economic analysis of efficient and sustainable electrical equipment," Energy, Elsevier, vol. 65(C), pages 145-151.
    9. Mohammad Taghi Tahooneh & Reza Dashti, 2022. "A new model for calculating rational failure rates based on network assets worth," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2221-2233, October.

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