SEMINAR: Operational Planning for Secure and Sustainable Power Systems
When determining the operating plans of a power system, system operators must allocate sufficient reserve to respond to unforeseen events. These events can be categorized into two main groups: i) deviations from forecasted quantities, and ii) sudden changes in the availability of the generation or transmission equipment (i.e. contingencies). On the one hand, environmental concerns and mandates have spurred an unprecedented commitment to source a significant share of the systemwide demand from renewable energy sources (RES). As any weather-driven source, the production from RES is notorious for its variability and uncertainty; therefore their integration increases the need for power system flexibility (i.e. headroom and ramping capabilities as a function of time). On the other hand, conventional rules-of-thumb to set the contingency reserves fail to capture the contingencies’ risk (i.e. probability times the contingency extent). As a consequence, there is a dire need for methods to optimize the flexibility and contingency reserve requirements, such that their provision is neither excessive nor insufficient. In order words, the flexibility and contingency reserves must be sufficient to accommodate RES’s vagaries as well as to cope with credible contingencies while ensuring that the marginal benefit from these resources matches their marginal cost of their provision. In this talk two generation scheduling approaches will be discussed: i) A method that combines the advantages of the short-term accuracy of the scenarios in a stochastic optimization framework, with the long-term robustness to uncertainty of interval optimization for the optimal procurement of system flexibility. ii) A method that explicitly explores the post-contingency states taking into account their probability of occurrence in a unit commitment framework. The advantages of these methods are demonstrated by comparing them against existing operating planning benchmarks.
Assistant Professor WOT, University of Washington, Dept. of Electrical Engineering
Miguel A. Ortega-Vazquez (S97-M06-SM14) received the B.Sc. (Hons.) degree in electrical engineering from Instituto Tecnol´ogico de Morelia, Mexico, in 1999; the M.Sc. degree from Universidad Aut´onoma de Nuevo Le´on, NL, Mexico, in 2001; and the Ph.D. degree from The University of Manchester (formerly UMIST), Manchester, U.K., in 2006., each with an emphasis on power systems. He was a Postdoctoral Scholar with the School of Electrical and Electronic Engineering, The University of Manchester from 2006 until 2010, and Assistant Professor with the Department of Energy and Environment, Chalmers University of Technology, Gothenburg, Sweden, from 2010 until 2011. In 2012, he joined the University of Washington, Seattle, WA, USA, as Research Assistant Professor and was appointed Assistant Professor in 2013. His current research interests include power system operation, power system security, power system economics, integration of renewable energy sources, and the smart grid. Dr. Ortega-Vazquez is an Editor of the IEEE Transactions on Smart Grid.