A new hybrid model for wheeling cost analysis under deregulated environment

In this paper a new hybrid model has been proposed for cost analysis of real as well reactive power wheeling under deregulated environment of modern power system. The proposed hybrid model is mainly an integration of a classical approach i.e. steepest decent method (SD) and artificial intelligence approach i.e. evolutionary programming (EP) based optimal power flow (OPF). Previously wheeling cost was analyzed using classical techniques like SD but they are bound to handle generating units with differentiable cost characteristic only. Presently it has been observed that under deregulated environment, some of the generating units e.g. co-generation plants have non-differentiable cost characteristics. So, for calculation and analysis of wheeling cost under present day modern deregulated environment, the proposed hybrid model is found to be most suitable. This new hybrid model is first tested on IEEE 30-bus test system and then applied to modified IEEE 30-bus test system. The results so obtained are found to be quite encouraging.