Abstract
Recent regulatory initiatives, technological advancements, and public policies such as New York’s Reforming the Energy Vision (REV) and California’s Energy Storage Mandate have incentivized the development of smaller, cleaner, and more distributed energy resources. As part of the day-ahead market clearing process, the ISOs/RTOs today have to solve more computationally intensive mixed integer programming (MIP)-based security-constrained unit commitment (SCUC) models to accommodate these small-scale resources within a short time window. This chapter will discuss the MIP solution performance challenges in dealing with the increasing penetration of small resources in the ISO/RTO day-ahead market in terms of both practicality and theory aspects.
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References
Beale E, Forrest JJ (1976) Global optimization using special ordered sets. Math Program 10(1):52–69
Chen Y, Casto A, Wang F, Wang Q, Wang X, Wan J (2016) Improving large scale day-ahead security constrained unit commitment performance. IEEE Trans Power Syst 31(6):4732–4743. https://doi.org/{10.1109/TPWRS.2016.2530811}
Commission NYSPS (2014) Reforming the energy vision (REV) proceeding. http://documents.dps.ny.gov/public/Common/ViewDoc.aspx?DocRefId=%7B5A9BDBBD-1EB7-43BE-B751-0C1DAB53F2AA%7D
Cplex II (2016) 12.6 User’s manual. https://www.ibm.com/support/knowledgecenter/en/SSSA5P_12.6.2/ilog.odms.studio.help/pdf/usrcplex.pdf
DNV-GL (2014) A review of distributed energy resources, DNV-GL for the New York independent system operator
EPRI (2014) The integrated grid: realizing the full value of central and distributed energy resources, Palo Alto, CA
EPRI (2016) Wholesale electricity market design initiatives in the United States: survey and research needs
Fu Y, Li Z, Wu L (2013) Modeling and solution of the large-scale security-constrained unit commitment. IEEE Trans Power Syst 28(4):3524–3533
Optimization G (2016) Gurobi reference manual. http://www.gurobi.com/documentation/7.0/refman/index.html
Wu L (2016) Accelerating NCUC via binary variable-based locally ideal formulation and dynamic global cuts. IEEE Trans Power Syst 31(5):4097–4107. https://doi.org/{10.1109/TPWRS.2015.2502594}
Wu L, Shahidehpour M (2010) Accelerating the benders decomposition for network-constrained unit commitment problems. Energy Syst 1(3):339–376
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Nguyen, C., Wu, L., Marwali, M., Mukerji, R. (2018). Small Resource Integration Challenges for Large-Scale SCUC. In: Meyn, S., Samad, T., Hiskens, I., Stoustrup, J. (eds) Energy Markets and Responsive Grids. The IMA Volumes in Mathematics and its Applications, vol 162. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7822-9_8
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