Transaction based power flow solution and transmission loss allocation using neural network

Recovering transmission loss cost accurately and transparently is an important challenge in deregulated power market. Though a generally acceptable method for transmission loss allocation is yet to be found out, proportional allocation technique has some popularity due to its uniqueness in the sense that it can neither be proved nor disproved. This method however is not applicable to transaction based power system structure, due to lack of a power flow tool for transaction based operation of power system. This paper proposes an application of proportional sharing principle to transmission loss allocation for transaction based power system. The unavailability of a power flow method for transaction based power system operation is addressed by framing a neural network. The neural network allocates losses to transactions and also generates the bus voltage magnitudes. Thus, it serves the purpose of both loss allocation and transaction based power flow tool.