Genetic algorithm based Different Re-dispatching Scheduling of Generator Units for Calculating Short Run Marginal Cost in Deregulated Environment

Abstract — Proper pricing of active power is an important issue in deregulated power environment. This paper presents a flexible formulation for determining short run marginal cost of synchronous generators using genetic algorithm based different re-dispatching scheduling considering economic load dispatch as well as optimized loss condition. By integrating genetic algorithm based solution, problem formulation became easier. The solution obtained from this methodology is quite encouraging and useful in the economic point of view and it has been observed that for calculating short run marginal cost, generator re-dispatching solution is better than classical method solution. The proposed approach is efficient in the real time application and allows for carrying out active power pricing independently. The paper includes test result of IEEE 30 bus standard test system