LMP congestion management using enhanced STF LODF in deregulated power system

Abstract

Power systems have become vast and their analysis has become a complicated problem in recent years. Providing the best solution for meeting the varying demand for electricity is one of the major issues of the electric power generating organisations. In deregulated organisational structure, all the control functions, like Automatic Generation Control (AGC), state estimation, generation dispatch, unit commitment, etc., are carried out by an Energy management system. Generation is completed in a manner that makes the most economical overall solution. In such an environment, an optimal power flow can perform the dual function of minimising production costs and of avoiding congestion in a least-cost manner. Congestion management thus involves determining a generational pattern that does not violate the line flow limits. Line flow capacity constraints, when incorporated into the scheduling program, lead to increased marginal costs. This may then be used as an newlineeconomic signal for rescheduling generation or in the case of recurring congestion for installation of new generation/transmission facilities. The congestion management of Locational Marginal Pricing (LMP) is performed with minimum line loss, less cost, line flow within limits, better sensitivity and better performances in optimal power flow and control. The efficiency of the power system under study is analysed and verified. The proposed system model is tested in standard IEEE 14 bus system. By using proposed algorithm, the power system provides optimal power and cost with efficient optimisation process to obtain the optimal solution. The sensitivity of the system is improved with the best solution in the proposed power system. newline newline