Implementation of Firefly Algorithm for Real Time Economic Load Dispatch with Consideration of Wind Power

Increase in the investment, fuel and other costs calls for the need of optimization of load dispatch on the Economics front. In the recent developments in the power systems, renewable source of energy has played a vital role, which has also caused an increase in the Economic load dispatch problem in a wider range. In the current proposal, minute to minute variability of generated wind power is incorporated with the other generators for the fulfillment of the required power. Firefly algorithm is incorporated for the optimal cost estimation in accordance with the real-time power demand and wind availability. It is a novel approach for obtaining the optimal solution of the optimization problem as compared to other techniques. A comparative study of the behavior of the system optimized by the Lambda Iteration Rule and Firefly algorithm is presented here. Renewable power from wind system along with its probability density function is approached and the availability of the generators considering the variable wind power is calculated over time and demand. Economic load dispatch with and without wind power is also compared and presented.