Transmission loss allocation using combined game theory and artificial neural network

作者: Nalin B Dev Choudhury , Swapan K Goswami , None

DOI: 10.1016/J.IJEPES.2012.05.017

关键词: Electric power systemTransmission lossGame theoryTransmission (telecommunications)Mathematical optimizationComputer scienceArtificial neural networkPower-flow studyShapley valuePower (physics)Simulation

摘要: Abstract An artificial neural network based method is suggested for allocation of transmission loss in a deregulated power system involving bilateral contract transactions between suppliers and the distribution companies. The proposed allocates losses to operating on basis Shapley value game theoretic approach. For this, are simulated corresponding obtained through load flow analysis. approach used calculate allocations. A large number such simulation cases generated data pool stores these possible allocations following allocating an environment required developed online. simple filtering technique extract suitable training that close enough actual condition from trained performance when tested standard networks has been found be very encouraging.

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