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Modified artificial bee colony algorithm based on fuzzy multi-objective technique for optimal power flow problem

Khorsandi, A ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1016/j.epsr.2012.09.002
  3. Publisher: 2013
  4. Abstract:
  5. This paper presents a fuzzy based modified artificial bee colony (MABC) algorithm to solve discrete optimal power flow (OPF) problem that has both discrete and continuous variables considering valve point effects. The OPF problem is formulated as a multi-objective mixed-integer nonlinear problem, where optimal settings of the OPF control variables for simultaneous minimization of total fuel cost of thermal units, total emission, total real power losses, and voltage deviation are obtained. The proposed approach is applied to the OPF problem on IEEE 30-bus and IEEE 118-bus test systems. The performance and operation of the proposed approach is compared with the conventional methods. The simulation results verify the effectiveness of the proposed method
  6. Keywords:
  7. Artificial bee colony ; Optimal power flow ; Artificial bee colonies ; Artificial bee colony algorithms ; Continuous variables ; Control variable ; Conventional methods ; Fuel cost ; Mixed-integer ; Multi objective ; Nonlinear problems ; Optimal power flow problem ; Optimal power flows ; Optimal setting ; Power system optimization ; Real power loss ; Test systems ; Thermal units ; Total emissions ; Valve point effects ; Voltage deviations ; Acoustic generators ; Electric load flow ; Fuzzy logic ; Evolutionary algorithms
  8. Source: Electric Power Systems Research ; Volume 95 , 2013 , Pages 206-213 ; 03787796 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0378779612002714