@article{scholars3869,
            year = {2013},
             doi = {10.1155/2013/159040},
            note = {cited By 37},
          volume = {2013},
       publisher = {ScientificWorld Ltd.},
         journal = {The Scientific World Journal},
           title = {Artificial bee colony algorithm for solving optimal power flow problem},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896264609&doi=10.1155\%2f2013\%2f159040&partnerID=40&md5=20fba859421c8390edfbb39beeae5034},
        keywords = {algorithm; analytic method; article; artificial bee colony; bee; comparative study; cost minimization analysis; electrical potential parameters; flow; flow kinetics; foraging behavior; generator; honeybee; nonhuman; optimal power flow; organism colony; power supply; problem solving; process optimization; algorithm; power supply; theoretical model, Algorithms; Electric Power Supplies; Models, Theoretical},
        abstract = {This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization method inspired from the foraging behavior of honey bees. The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem in a fast manner via the result comparisons with other methods in the literature. Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem. {\^A}{\copyright} 2013 Luong Le Dinh et al.},
          author = {Le Dinh, L. and Vo Ngoc, D. and Vasant, P.},
            issn = {1537744X}
}