Assessment of Metaheuristic Techniques Applied to the Optimal Reactive Power Dispatch

2019 ◽  
pp. 250-262
Author(s):  
Daniel Camilo Londoño ◽  
Walter Mauircio Villa-Acevedo ◽  
Jesús María López-Lezama
Keyword(s):  
Reactive Power ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch ◽  
Metaheuristic Techniques

scholarly journals A Novel Constraint Handling Approach for the Optimal Reactive Power Dispatch Problem

2018 ◽  
Author(s):  
Walter M. Villa-Acevedo ◽  
Jesús M. López-Lezama ◽  
Jaime A. Valencia-Velásquez
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Reactive Power ◽  
Constraint Handling ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Power Loss Reduction ◽  
Reactive Power Dispatch ◽  
Metaheuristic Techniques ◽  
System Variables

This paper presents an alternative constraint handling approach within a specialized genetic algorithm (SGA) for the optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a nonlinear single-objective optimization problem aiming to minimize power losses while keeping network constraints. The proposed constraint handling approach is based on a product of sub-functions that represents permissible limits on system variables and that includes a specific goal on power loss reduction. The main advantage of this approach is the fact that it allows a straightforward verification of both feasibility and optimality. The SGA is examined and tested with the proposed constraint handling approach and the traditional penalization of deviations from feasible solutions. Several tests are run in the IEEE 30, 57, 118 and 300 bus test power systems. The results obtained with the proposed approach are compared to those offered by other metaheuristic techniques reported in the specialized literature. Simulation results indicate that the proposed genetic algorithm with the alternative constraint handling approach yields superior solutions when compared to other recently reported techniques.

scholarly journals A Novel Constraint Handling Approach for the Optimal Reactive Power Dispatch Problem

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2352 ◽  
Author(s):  
Walter Villa-Acevedo ◽  
Jesús López-Lezama ◽  
Jaime Valencia-Velásquez
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Reactive Power ◽  
Constraint Handling ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Power Loss Reduction ◽  
Reactive Power Dispatch ◽  
Metaheuristic Techniques ◽  
System Variables

This paper presents an alternative constraint handling approach within a specialized genetic algorithm (SGA) for the optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a nonlinear single-objective optimization problem aiming at minimizing power losses while keeping network constraints. The proposed constraint handling approach is based on a product of sub-functions that represents permissible limits on system variables and that includes a specific goal on power loss reduction. The main advantage of this approach is the fact that it allows a straightforward verification of both feasibility and optimality. The SGA is examined and tested with the recommended constraint handling approach and the traditional penalization of deviations from feasible solutions. Several tests are run in the IEEE 30, 57, 118 and 300 bus test power systems. The results obtained with the proposed approach are compared to those offered by other metaheuristic techniques reported in the specialized literature. Simulation results indicate that the proposed genetic algorithm with the alternative constraint handling approach yields superior solutions when compared to other recently reported techniques.

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