A hybrid bacterial foraging and differential evolution algorithm for congestion management

Abstract

SUMMARYThis work presents the application of hybrid bacterial foraging algorithm to solve congestion management problem in restructured power systems. The open access market environment makes the power system operation as more complicated one. The more emerging problem in the recent research is congestion management problem which requires to be analyzed to supply power to the consumers in most reliable manner. In this paper, we have tried to remove the congestion in the transmission line by generation rescheduling with the cost involved in the rescheduling process should be minimized. The objective function for hybrid bacterial foraging-differential evolution (HBFDE) optimization algorithm is considered as the minimization of the congestion cost. The results are also compared with the genetic algorithm (GA), simple bacterial foraging (SBF) algorithm and traditional method using MATPOWER. Numerical results for the standard IEEE 30 bus system having six generating units have been presented to demonstrate the performance of the algorithm.

Optimal allocation of distributed generation using a two-stage multi-objective mixed-integer-nonlinear programming

“…When we try to optimize several objectives at the same time, the search space also becomes partially ordered. To obtain the optimal solution, there will be a set of optimal trade-offs between the conflicting objectives [12,13]. However, multiobjective programming encounters difficulties in dealing with both qualitative and quantitative objectives in a decision problem.…”

Optimal Rescheduling of Real and Reactive Power for Congestion Management under Competitive Environment

“…The influences of thyristor controlled series compensator (TCSC) and static var compensator (SVC) on transmission pricing at the competitive markets are reported in [12]. To manage the congestions in the congested critical state, re-dispatching the optimal power to alleviate the congestions from the transmissions line is presented at [13][14][15]. In the literatures [16][17][18] generator sensitivity based approaches are applied to re-dispatch the optimal active power to eliminate the congestion in the transmission line.…”

Adaptive bacterial foraging and genetic algorithm for unit commitment problem with ramp rate constraint

“…Recently, bacterial foraging (BF) algorithm has been proposed and employed to solve many optimization problems [27][28][29][30]. The BF algorithm is based on social and cooperative behaviors found in nature.…”