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Real time procurement of energy and operating reserve from Renewable Energy Sources in deregulated environment considering imbalance penalties

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  • Banshwar, Anuj
  • Sharma, Naveen Kumar
  • Sood, Yog Raj
  • Shrivastava, Rajnish

Abstract

Renewable Energy Sources (RES) have prompted an additional burden on power system planners due to their stochastic nature. Hence it increases the need for Ancillary Services (AS) in power system. In deregulated electricity markets, AS has become an important issue because they are necessary for reliable and secure operation of a power system. Operating Reserve (OR), considered in this paper, is a measure of generators ability to increase their output under contingencies. ISO uses this service either for balancing purpose or for replacing the energy that had been scheduled to be provided by the unit that malfunctions. Thus establishing an efficient market for reserve services has become crucial. The premises of this paper is the development of penalty based Short-Term Market (STM) for the procurement of energy and OR. The effects of stochastic behavior of WPP on Social Benefit (SB) and Procurement Cost (PC) are investigated for the development of efficient STM. The proposed approach has been analyzed on IEEE-30 bus test system by implementing a sequential dispatch approach on various market structures. The results obtained under different market scenarios shows that there is a mandated requirement of effective penalty mechanism in order to discourage the imbalance behavior of RPPs.

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  • Banshwar, Anuj & Sharma, Naveen Kumar & Sood, Yog Raj & Shrivastava, Rajnish, 2017. "Real time procurement of energy and operating reserve from Renewable Energy Sources in deregulated environment considering imbalance penalties," Renewable Energy, Elsevier, vol. 113(C), pages 855-866.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:855-866
    DOI: 10.1016/j.renene.2017.06.059
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    1. Sioshansi, Fereidoon P., 2008. "Competitive Electricity Markets: Questions Remain about Design, Implementation, Performance," The Electricity Journal, Elsevier, vol. 21(2), pages 74-87, March.
    2. Klessmann, Corinna & Nabe, Christian & Burges, Karsten, 2008. "Pros and cons of exposing renewables to electricity market risks--A comparison of the market integration approaches in Germany, Spain, and the UK," Energy Policy, Elsevier, vol. 36(10), pages 3646-3661, October.
    3. Banshwar, Anuj & Sharma, Naveen Kumar & Sood, Yog Raj & Shrivastava, Rajnish, 2017. "Market based procurement of energy and ancillary services from Renewable Energy Sources in deregulated environment," Renewable Energy, Elsevier, vol. 101(C), pages 1390-1400.
    4. Faria, Pedro & Soares, Tiago & Vale, Zita & Morais, Hugo, 2014. "Distributed generation and demand response dispatch for a virtual power player energy and reserve provision," Renewable Energy, Elsevier, vol. 66(C), pages 686-695.
    5. Frieder Borggrefe & Karsten Neuhoff, 2011. "Balancing and Intraday Market Design: Options for Wind Integration," Discussion Papers of DIW Berlin 1162, DIW Berlin, German Institute for Economic Research.
    6. Alipour, Manijeh & Mohammadi-Ivatloo, Behnam & Moradi-Dalvand, Mohammad & Zare, Kazem, 2017. "Stochastic scheduling of aggregators of plug-in electric vehicles for participation in energy and ancillary service markets," Energy, Elsevier, vol. 118(C), pages 1168-1179.
    7. Raineri, R. & Rios, S. & Schiele, D., 2006. "Technical and economic aspects of ancillary services markets in the electric power industry: an international comparison," Energy Policy, Elsevier, vol. 34(13), pages 1540-1555, September.
    8. Ignacio Aravena & Anthony Papavasiliou, 2017. "Renewable energy integration in zonal markets," LIDAM Reprints CORE 2932, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Sood, Yog Raj & Singh, Randhir, 2010. "Optimal model of congestion management in deregulated environment of power sector with promotion of renewable energy sources," Renewable Energy, Elsevier, vol. 35(8), pages 1828-1836.
    10. Pousinho, H.M.I. & Silva, H. & Mendes, V.M.F. & Collares-Pereira, M. & Pereira Cabrita, C., 2014. "Self-scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach," Energy, Elsevier, vol. 78(C), pages 524-534.
    11. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
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