In the deregulated energy market, congestion represents a fundamental problem for the independent system operator. Moreover, it involves further cost and pretenses a risk to the security of the power system. In this paper, Optimal Power Flow (OPF) and Available Transfer Capability (ATC) based techniques are presented for allocating TCSC to ease the congestion exploiting the Congestion Rent Contribution (CRC) approach on the basis of the position marginal price. In bilateral transactions environment, to calculate the power transfer of dc distribution factors are exploited. The proposed Enhanced Spider Monkey Optimization (ESMO) method is used to deal with congestion in a pool electricity market. The Congestion Management (CM) is examined for contingency and normal because of the line outage and sudden load variation. The effectiveness of the proposed algorithm is examined on IEEE 57-bus as well as 30-bus test systems.
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