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An improved mechanism for capacity payment based on system dynamics modeling for investment planning in competitive electricity environment

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  • Assili, Mohsen
  • Javidi D.B., M. Hossein
  • Ghazi, Reza

Abstract

Many countries have experienced restructuring in their electric utilities. This restructuring has presented the power industries with new challenges, the most important of which is long-term investment planning under uncertain conditions. This paper presents an improved mechanism for capacity payment. The mechanism has been investigated based on system dynamic modeling. In our proposed mechanism, generators will recover a part of their investment through capacity payment. While the payment for any plant remains constant during the operation period, it depends on the investment needed to build it. The main factors affecting long-term planning have been considered in our model. The approach can be used to investigate the effects of fixed as well as variable capacity payment in market investment. We used the probability density function of load as a new concept to calculate average market price. Delays in unit constructions, estimation of demand, and market capacity growth during construction periods have been included in the proposed algorithm as parameters, which affect the regulator's decision for changing capacity payment. The model can be used by regulators to investigate strategies that may affect the fluctuations in the market.

Suggested Citation

  • Assili, Mohsen & Javidi D.B., M. Hossein & Ghazi, Reza, 2008. "An improved mechanism for capacity payment based on system dynamics modeling for investment planning in competitive electricity environment," Energy Policy, Elsevier, vol. 36(10), pages 3703-3713, October.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:10:p:3703-3713
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hasani, Masoud & Hosseini, Seyed Hamid, 2011. "Dynamic assessment of capacity investment in electricity market considering complementary capacity mechanisms," Energy, Elsevier, vol. 36(1), pages 277-293.
    2. Cepeda, Mauricio & Finon, Dominique, 2013. "How to correct for long-term externalities of large-scale wind power development by a capacity mechanism?," Energy Policy, Elsevier, vol. 61(C), pages 671-685.
    3. Hasani-Marzooni, Masoud & Hosseini, Seyed Hamid, 2013. "Dynamic analysis of various investment incentives and regional capacity assignment in Iranian electricity market," Energy Policy, Elsevier, vol. 56(C), pages 271-284.
    4. Saysel, Ali Kerem & Hekimo─člu, Mustafa, 2013. "Exploring the options for carbon dioxide mitigation in Turkish electric power industry: System dynamics approach," Energy Policy, Elsevier, vol. 60(C), pages 675-686.
    5. Yu, Shiwei & Wei, Yi-ming, 2012. "Prediction of China's coal production-environmental pollution based on a hybrid genetic algorithm-system dynamics model," Energy Policy, Elsevier, vol. 42(C), pages 521-529.
    6. Petitet, Marie & Finon, Dominique & Janssen, Tanguy, 2017. "Capacity adequacy in power markets facing energy transition: A comparison of scarcity pricing and capacity mechanism," Energy Policy, Elsevier, vol. 103(C), pages 30-46.
    7. Cepeda, Mauricio & Finon, Dominique, 2011. "Generation capacity adequacy in interdependent electricity markets," Energy Policy, Elsevier, vol. 39(6), pages 3128-3143, June.
    8. Hary, Nicolas & Rious, Vincent & Saguan, Marcelo, 2016. "The electricity generation adequacy problem: Assessing dynamic effects of capacity remuneration mechanisms," Energy Policy, Elsevier, vol. 91(C), pages 113-127.
    9. repec:dau:papers:123456789/13149 is not listed on IDEAS
    10. Arango, Santiago & Larsen, Erik, 2011. "Cycles in deregulated electricity markets: Empirical evidence from two decades," Energy Policy, Elsevier, vol. 39(5), pages 2457-2466, May.
    11. Qudrat-Ullah, Hassan, 2013. "Understanding the dynamics of electricity generation capacity in Canada: A system dynamics approach," Energy, Elsevier, vol. 59(C), pages 285-294.
    12. Qudrat-Ullah, Hassan, 2014. "Green power in Ontario: A dynamic model-based analysis," Energy, Elsevier, vol. 77(C), pages 859-870.
    13. Qudrat-Ullah, Hassan, 2017. "How to enhance the future use of energy policy simulation models through ex post validation," Energy, Elsevier, vol. 120(C), pages 58-66.
    14. Alishahi, E. & Moghaddam, M. Parsa & Sheikh-El-Eslami, M.K., 2012. "A system dynamics approach for investigating impacts of incentive mechanisms on wind power investment," Renewable Energy, Elsevier, vol. 37(1), pages 310-317.
    15. Qudrat-Ullah, Hassan, 2015. "Independent power (or pollution) producers? Electricity reforms and IPPs in Pakistan," Energy, Elsevier, vol. 83(C), pages 240-251.
    16. Ahmad, Salman & Mat Tahar, Razman & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Abdul Rahim, Ruzairi, 2016. "Application of system dynamics approach in electricity sector modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 29-37.

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