POWER SYSTEM OPTIMIZATION PROBLEM BASED ON DE/BEST/1/BIN STRATEGY
G. SUNDAR *
Arulmigu Meenakshi Amman College of Engineering, Kanchipuram, India.
SAJAN J. MATHEW
Arulmigu Meenakshi Amman College of Engineering, Kanchipuram, India.
*Author to whom correspondence should be addressed.
Abstract
Dynamic economic dispatch (ED) is one of the main functions of power generation operation and control. It determines the optimal setting of generating units with assumed load demand over a certain period of time. The main objective is to operate the generating system most economically and check whether the system is operating within its security limit. In this paper, we present the solution for the economic dispatch problem of generating unit considering equality constraints, inequality constraints along with valve point effects and ramp rate limit using Differential evolution algorithm (DE). In this paper, we are analyzing the feasibility of the algorithm DE using best out the available values using single crossover and binary conversion. The propounded method has been examined and tested with numerical data of 3-units and 10-units systems. The results obtained are analyzed with variable scaling factor and cross over limits and finally the result are compared with GA results. The results show that Differential evolution with best/1/bin is an effective optimization technique.
Keywords: Differential evolution, economic dispatch, genetic algorithm, ramp rate limit, valve point effect