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A composite generation and transmission reliability test system for research purposes

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  • Akhavein, Ali
  • Porkar, Babak

Abstract

Composite generation and transmission test systems have been widely used in power system studies. Among them, IEEE reliability test system (IEEE-RTS) and Roy-Billinton test system (RBTS) are merely the ones which have reliability data and can be applied for risk studies. The IEEE-RTS and RBTS have been constructed on the basis of North-America power grids. Having only IEEE-RTS and RBTS, it firstly means lack of diversity for reliability test systems; Secondly, due to differences between operation and reliability data of North-America power grids as compared to power grids in other continents and especially in Asia, evaluation results obtained by IEEE-RTS and RBTS may not be realistic for worldwide researches. In order to mitigate the aforementioned limitations of the available reliability test systems, this paper presents a reliability test system on the basis of a real HV network in a province located in the south of Iran. The developed test system has 230 and 400kV voltage levels, 36 Buses, 53 lines, 11 coupling transformers and 33 generating units. Total load and installed generation capacity of the system is 3544 and 4470MW, respectively. Reliability data for the developed test system has been extracted from failure and repair data gathered in a 5 year time interval between 2004 and 2008. Load flow data has been assigned according to peak load condition recorded in 2014.

Suggested Citation

  • Akhavein, Ali & Porkar, Babak, 2017. "A composite generation and transmission reliability test system for research purposes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 331-337.
    • Handle: RePEc:eee:rensus:v:75:y:2017:i:c:p:331-337
    DOI: 10.1016/j.rser.2016.10.073
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    References listed on IDEAS

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    1. Lin, Jin & Cheng, Lin & Chang, Yao & Zhang, Kai & Shu, Bin & Liu, Guangyi, 2014. "Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 921-934.
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    1. Alexey I. Shinkevich, 2020. "Modeling the Efficiency of Using Digital Technologies of Energy and Resource Saving Technologies at Petrochemical Enterprises," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 1-6.
    2. Hamza Abunima & Jiashen Teh & Ching-Ming Lai & Hussein Jumma Jabir, 2018. "A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions," Energies, MDPI, vol. 11(9), pages 1-37, September.
    3. Alexey I. Shinkevich & Svetlana S. Kudryavtseva & Irina G. Ershova, 2020. "Modelling of Energy Efficiency Factors of Petrochemical Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 465-470.
    4. Jose R. Vargas-Jaramillo & Jhon A. Montanez-Barrera & Michael R. von Spakovsky & Lamine Mili & Sergio Cano-Andrade, 2019. "Effects of Producer and Transmission Reliability on the Sustainability Assessment of Power System Networks," Energies, MDPI, vol. 12(3), pages 1-21, February.

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