Security constrained optimal power flow programs are important tools for ensuring correct dispatch of supply while respecting the many constraints imposed by the delivery system. In addition to getting the dispatch right, locational prices must be calculated with equal precision in order to infuse market participants with the proper incentives for operation and investment. In this paper we discuss a co-optimization framework in which contingencies, ancillary services, and network constraints are correctly accounted for in determining both dispatch and price.

10aelectricity markets10aoptimal power flow (OPF)10areliability and markets10aRM07-0021 aThomas, Robert, J.1 aMurillo-Sanchez, Carlos, E.1 aZimmerman, Ray, D. uhttps://certs.lbl.gov/publications/advanced-security-constrained-opf01382nas a2200241 4500008003900000245002700039210002300066260001200089300000700101520072200108653002200830653002800852653002700880653001300907653001300920100002500933700002300958700002300981700003201004700002301036700002301059856005801082 2008 d00aA "SuperOPF" Framework0 aSuperOPF Framework c12/2008 a593 aThe objective of the SuperOPF project is to develop a framework that will provide proper allocation and valuation of resources through true co-optimization across multiple scenarios. Instead of solving a sequence of simpler and approximate sub-problems, the SuperOPF approach combines as much as possible into a single mathematical programming framework, with a full AC network and simultaneous co-optimization across multiple scenarios with stochastic costs.

This effort involves development of the problem formulations, implementation of research grade software codes, and testing of the methods and algorithms on a range of case studies to demonstrate their added value over currently available tools.

10aMarket mechanisms10areliability and markets10areliability management10aRM05-00310aSuperOPF1 aLamadrid, Alberto, J1 aManeevitjit, Surin1 aMount, Timothy, D.1 aMurillo-Sanchez, Carlos, E.1 aThomas, Robert, J.1 aZimmerman, Ray, D. uhttps://certs.lbl.gov/publications/superopf-framework01327nas a2200169 4500008003900000245014800039210006900187260001200256300000700268520068400275653003200959653002000991100002101011700003201032700002301064856007001087 2001 d00aTime-space Methods for Determining Locational Reserves: A Framework for Location Based Pricing and Scheduling for Reserve Markets Annual Report0 aTimespace Methods for Determining Locational Reserves A Framewor c11/2001 a203 aThis project is exploring several options for the solution of the reserve scheduling problem that are also compatible with the idea of a deregulated reserve market structure. One of the major questions is whether it is possible to devise a cost-minimizing scheduling algorithm for the spatially distributed reserve problem that reveals the location-based shadow prices for the reserve requirements. The constraints imposed by grid security considerations should be taken into account in the procedure. If this major question is answered in the affirmative, a framework for a reserve power market based on the computed shadow prices should be derived automatically from it.

10alocational marginal pricing10areserve markets1 aThorp, James, S.1 aMurillo-Sanchez, Carlos, E.1 aThomas, Robert, J. uhttps://certs.lbl.gov/publications/time-space-methods-determining