@inproceedings{scholars8054,
            note = {cited By 12; Conference of 2017 IEEE Region 10 Conference, TENCON 2017 ; Conference Date: 5 November 2017 Through 8 November 2017; Conference Code:133992},
          volume = {2017-D},
             doi = {10.1109/TENCON.2017.8228135},
           title = {One rank cuckoo search algorithm for optimal placement of multiple distributed generators in distribution networks},
            year = {2017},
         journal = {IEEE Region 10 Annual International Conference, Proceedings/TENCON},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           pages = {1715--1720},
            isbn = {9781509011339},
          author = {Khoa, T. H. and Nallagownden, P. and Baharudin, Z. and Dieu, V. N.},
            issn = {21593442},
        abstract = {This paper proposes a one rank cuckoo search algorithm (ORCSA) for finding the optimal location and sizes of multiple distributed generation (DG) units in distribution networks. The ORCSA is the enhanced version of the cuckoo search algorithm (CSA) to improve convergence speed and provide better optimal solution. In this paper, the optimization problem of DG placement is formulated with multi-objectives of minimum power loss, minimum voltage deviation, and voltage stability improvement. In addition, the power factor of DG units is considered with multiple options by proposing power factor constraints. The proposed method is tested on 69-bus IEEE standard radial distribution system and the obtained results are compared to those from other artificial intelligence methods. The results comparison has indicated that the proposed ORCSA offers better solution than other techniques. Moreover, the results have introduced the operation of DG units at multiple options of power factor instead of only unity power factor under the current standard IEEE 1547. {\^A}{\copyright} 2017 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044215920&doi=10.1109\%2fTENCON.2017.8228135&partnerID=40&md5=88027ba49e4116deee9c36ea4e8890c7},
        keywords = {Distributed power generation; Electric power factor; IEEE Standards; Learning algorithms; Voltage control, Cuckoo search algorithms; Optimal locations; Optimal size; Power factors; Power loss reduction; Voltage profile improvement, Optimization}
}