Evolutionary programming based algorithm for selection of wheeling options

This paper describes how to select a particular wheeling option among the various feasible transaction options available under the deregulated environment of modern power systems. An efficient hybrid optimal power flow (HOPF) algorithm has been proposed to determine the optimal selection based on wheeling cost. In this proposed HOPF, the Newton-Raphson method and evolutionary programming (EP) algorithm have been used for power flow and economic dispatch respectively. Based on the power transfer capability and minimum generation cost, an optimal wheeling option will be suggested to both the owners of private nonutility generator (i.e. independent power producers or co-generators) and the utility. The proposed algorithm is independent of the cost characteristics of nonutility generators (NUGs). The proposed model has been tested on the IEEE-30 bus test system with synthetic imposition of wheeling transactions. The solutions obtained are quite encouraging and useful in the present deregulated environment