Abstract:
The present scenario of power transmission in a power system is more or less flexible. Each alternative of open access to power transfer offers different solutions with both economic and secure operation. This thesis presents the above study using Evolutionary Programming based Optimal Power Flow (EP-OPF) algorithm. The proposed algorithm is useful to optimize the generation cost satisfying the network constraints and provide options for open access. The algorithm of open access power transaction considers non-utility generators (NLTG), which is agreed to supply the power to the network to meet the increased load demand. The proposed algorithm considers load increment at each and every load point and comment on the best transaction. The proposed analysis offers different transaction options. The- selection of any 'option is based on the optimal cost and security constraints. Validity of the proposed algorithm is tested on IEEE-30 bus test system with and without NUG.
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