A Comparison of Heuristic Methods for Optimum Power Flow Considering Valve Point Effect

Authors

  • Ahmet Dogan
  • Tankut Yalcinoz
  • Mustafa Alci

DOI:

https://doi.org/10.5755/j01.eie.22.5.16340

Keywords:

Optimum power flow, valve point effect, heuristic algorithms

Abstract

Optimum Power Flow (OPF) is one of the key considerations for planning, generation control and management of electric utility. Hence it is of major importance to solve OPF with minimum cost within reasonable computing time. This paper presents solutions of OPF with Valve Point Effect (OPF-VPE) using Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC). When steam valve starts to open in a turbine it changes generation curve. The valve point effect is considered by adding sine component to the quadratic cost function for OPF-VPE. Also, penalty function is added for generator violations. The common parameters of algorithms such as population size and the iteration number are selected same values for the comparison of algorithms for solving OPF-VPE. Specific parameters are stated and used for each algorithm. The heuristic algorithms are examined on IEEE-30 bus system and convergence curves are demonstrated with the system results. Performances of each algorithm are discussed as regards optimizing fuel cost, iteration time and other system results.

DOI: http://dx.doi.org/10.5755/j01.eie.22.5.16340

Downloads

Published

2016-10-03

How to Cite

Dogan, A., Yalcinoz, T., & Alci, M. (2016). A Comparison of Heuristic Methods for Optimum Power Flow Considering Valve Point Effect. Elektronika Ir Elektrotechnika, 22(5), 32 - 37. https://doi.org/10.5755/j01.eie.22.5.16340

Issue

Vol. 22 No. 5 (2016)

Section

ELECTRICAL ENGINEERING

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.