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Ancillary services in systems with high penetrations of renewable energy sources, the case of ramping

Listed author(s):
  • Lamadrid, Alberto J.
  • Mount, Tim

Renewable Energy Sources (RES) are likely to continue the upward trend observed in the past decade. The change from dispatchable generation to an environment in which Independent System Operators (ISOs), Regional Transmission Operators (RTOs), Load Serving Entities (LSEs) and consumers dynamically respond to the conditions in the system and help to alleviate the uncertainty linked to RES requires appropriate tools to evaluate the social benefits and costs of different policies implemented. This paper presents a framework for evaluating the aforementioned effects using an engineering and economic optimization model. The proposed framework is applied to a stylized case study with operations on a test network that simulates a typical day. The objective of the case study is to compare the effects of (1) controllable demand, (2) on-site storage, and (3) upgrading transmission capacity. The different scenarios are evaluated in terms of (1) the percentage of potential wind generation spilled, (2) the total operating cost of production, and (3) the amount of installed capacity needed to maintain operating reliability. The results show that controllable demand improves (reduces) all of the three criteria by alleviating congestion and mitigating wind variability. In contrast, the beneficial effects are smaller for RES's on-site storage, because it does not shift load to off-peak periods or reduce congestion, and for upgrading transmission, because it does not shift load to off-peak periods or mitigate wind variability.

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Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 34 (2012)
Issue (Month): 6 ()
Pages: 1959-1971

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Handle: RePEc:eee:eneeco:v:34:y:2012:i:6:p:1959-1971
DOI: 10.1016/j.eneco.2012.08.011
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  1. Frank A. Wolak, 2007. "Quantifying the supply-side benefits from forward contracting in wholesale electricity markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1179-1209.
  2. Tuohy, Aidan & Meibom, Peter & Denny, Eleanor & O'Malley, Mark, 2009. "Unit commitment for systems with significant wind penetration," MPRA Paper 34849, University Library of Munich, Germany.
  3. Zephyr, 2010. "The city," City, Taylor & Francis Journals, vol. 14(1-2), pages 154-155, February.
  4. Lamadrid, Alberto J. & Mount, Timothy D. & Thomas, Robert J., 2011. "Integration of Stochastic Power Generation, Geographical Averaging and Load Response," Working Papers 126540, Cornell University, Department of Applied Economics and Management.
  5. Timothy D. Mount, Surin Maneevitjit, Alberto J. Lamadrid, Ray D. Zimmerman, and Robert J. Thomas, 2012. "The Hidden System Costs of Wind Generation in a Deregulated Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
  6. Michael Maloney, 2001. "Economies and Diseconomies: Estimating Electricity Cost Functions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(2), pages 165-180, September.
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