Corrective transmission switching can improve the flexibility of power system. To avoid the computational complexity, a data mining approach for real-time corrective switching is proposed in this paper. A factorized expression that measures the approximate switching effects is first derived. The expression can be utilized to generate candidate transmission switching lists. Based on the factorized expression, an algorithm is proposed. The algorithm can be used to generate rank list of candidate switching actions. Since the algorithm bypasses the need to solve complex mixed integer optimization problems, it can provide candidate switching actions for real-time corrective control efficiently. The validity of the presented approach is demonstrated by tests conducted on IEEE RTS96 system.

%B 2015 IEEE Power & Energy Society General Meeting %I IEEE %C Denver, CO, USA %P 1 - 5 %8 07/2015 %R 10.1109/PESGM.2015.7286256 %0 Report %D 2001 %T Design of Ancillary Service Markets %A Shmuel S. Oren %K ancillary services %K Market mechanisms %K reliability and markets %K reliability management %XWe examine the design of bid selection protocols and settlement rules in ancillary service markets. Such markets are typically operated by an independent system operator (ISO) for competitive procurement of reserves that are needed to ensure the secure operation of a competitive electric power system. Reserve types are characterized in terms of response time and they are downward substitutable (faster responding reserves can replace slower ones). We explore how this substitutability is accounted for in alternative market protocols and we analyze the efficiency, distributional aspects and incentive compatibility of such protocols.

%I University of California %C Berkeley %8 01/2001 %R 10.1109/HICSS.2001.926283