Optimal Generation Rescheduling for Congestion Management, LMP Enhancement and Social Welfare Maximization

Transmission lines Congestion is one of the most important problems in the deregulated electricity market and may lead to system failure, so Independent System Operator (ISO) should take action as fast as possible to alleviate this congestion. There are many methods for congestion removing; one of the most practically used methods is the generating rescheduling by changing active power output of generators either increasing or decreasing. In this paper, genetic algorithm is employed as an optimization technique to determine the optimal rescheduling of generators outputs in order to alleviate transmission lines congestion and satisfy the objective function which are social welfare maximization by reducing the locational marginal price (LMP) deference between buses. The proposed technique is applied and validated on IEEE 30-bus system by MATLAB.