Title :
A comparative analysis of differential evolution and genetic algorithm for solving optimal power flow
Author :
Ravi, C.N. ; Rajan, C.C.A.
Author_Institution :
Sathyabama Univ., Chennai, India
Abstract :
The objective of the power systems firm is to achieve the maximum profit and customer goodwill by providing reliable and quality power supply. This operation and control problem would solved by Optimal Power Flow (OPF). OPF solutions provide optimal operating state and satisfy the objective of the firm. Modern trend used to solve this non-convex, complex OPF problem is Meta heuristic algorithms. This paper presents and compares a two versatile meta heuristic algorithms: Differential Evolution (DE) and Genetic Algorithm (GA) for solving OPF. Performance of these algorithms is tested on the standard IEEE 30 bus system.
Keywords :
concave programming; evolutionary computation; genetic algorithms; heuristic programming; load flow control; power supply quality; power system reliability; DE; GA; differential evolution; genetic algorithm; meta heuristic algorithms; nonconvex complex OPF problem; optimal operating state; optimal power flow control problem; power supply quality; power system firm; standard IEEE 30 bus system; Biological cells; Generators; Genetic algorithms; Linear programming; Sociology; Statistics; Vectors; differential evolutio; genetic algorithm; meta heuristic algorithm; newton raphson power flow; optimla power flow;
Conference_Titel :
Power India Conference, 2012 IEEE Fifth
Conference_Location :
Murthal
Print_ISBN :
978-1-4673-0763-5
DOI :
10.1109/PowerI.2012.6479488
