A PSO based approach for usage and cost allocation under contingent restructured market

Restructuring of Electricity supply industry introduced many issues such as transmission pricing, usage, loss and cost allocation. Many methodologies have been proposed to address these issues. In this paper authors propose a graph theory based combined methodology which involves modified Kirchhoff matrix for transmission usage and cost allocation. For optimal usage allocation at contingent condition particle swarm optimization method is used. Full and partial recovery models of transmission cost allocation are also developed. First, the transmission usages are allocated to users for base case power flow by modified Kirchhoff matrix. For allocating transmission usage cost under contingency line outage distribution factor (LODF) are calculated. Further this factor is modified and calculated at maximum loading condition of line. Hence this index are called line outage distribution factor at maximum flow (LODFM). With the help of this index maximum transmission usage cost is recovered from the users. For usage cost allocation under contingency condition Modified MW-mile approach is used. Results are shown for the sample 6 bus system and IEEE 14 bus system.