Hierarchical Agglomerative Clustering Algorithm method for distributed generation planning
•Hierarchical Agglomerative Clustering Algorithm (HACA) based approach is proposed for DG planning.•This method employs only single stage in identification of suitable site and size.•A guaranteed feasible solution is always available to the planner by this method.•Solution method is straightforward...
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| Veröffentlicht in: | International journal of electrical power & energy systems Jg. 56; S. 259 - 269 |
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| Sprache: | Englisch |
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01.03.2014
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| ISSN: | 0142-0615, 1879-3517 |
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| Abstract | •Hierarchical Agglomerative Clustering Algorithm (HACA) based approach is proposed for DG planning.•This method employs only single stage in identification of suitable site and size.•A guaranteed feasible solution is always available to the planner by this method.•Solution method is straightforward and accompanied by unsupervised learning and less computational complexity.
Planning of distributed generator (DG) units in the distribution system employing Hierarchical Agglomerative Clustering Algorithm (HACA) is proposed in this paper. The proposed method overcomes the dependency of existing methods of DG placement, either on the entire global preference information or on the experience of the distribution system planner. The proposed method is validated with weighted sum method and its effectiveness is tested using two distribution systems of different size and configuration. The results of the simulation study demonstrate the suitability of proposed method in solving the problem involving multiple objectives in DG planning studies. |
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| AbstractList | Planning of distributed generator (DG) units in the distribution system employing Hierarchical Agglomerative Clustering Algorithm (HACA) is proposed in this paper. The proposed method overcomes the dependency of existing methods of DG placement, either on the entire global preference information or on the experience of the distribution system planner. The proposed method is validated with weighted sum method and its effectiveness is tested using two distribution systems of different size and configuration. The results of the simulation study demonstrate the suitability of proposed method in solving the problem involving multiple objectives in DG planning studies. •Hierarchical Agglomerative Clustering Algorithm (HACA) based approach is proposed for DG planning.•This method employs only single stage in identification of suitable site and size.•A guaranteed feasible solution is always available to the planner by this method.•Solution method is straightforward and accompanied by unsupervised learning and less computational complexity. Planning of distributed generator (DG) units in the distribution system employing Hierarchical Agglomerative Clustering Algorithm (HACA) is proposed in this paper. The proposed method overcomes the dependency of existing methods of DG placement, either on the entire global preference information or on the experience of the distribution system planner. The proposed method is validated with weighted sum method and its effectiveness is tested using two distribution systems of different size and configuration. The results of the simulation study demonstrate the suitability of proposed method in solving the problem involving multiple objectives in DG planning studies. |
| Author | Selvan, M.P. Vinothkumar, K. |
| Author_xml | – sequence: 1 givenname: K. surname: Vinothkumar fullname: Vinothkumar, K. organization: ABB Global Industries and Services Limited, Chennai, Tamil Nadu 600 089, India – sequence: 2 givenname: M.P. surname: Selvan fullname: Selvan, M.P. email: selvanmp@nitt.edu organization: Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu 620 015, India |
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| Cites_doi | 10.1080/15325008.2010.528533 10.1109/ICPST.2004.1460178 10.1016/j.ijepes.2013.05.018 10.1049/ip-gtd:20050170 10.1016/j.ijepes.2005.02.002 10.1080/15325000903273429 10.1049/ip-gtd:20045129 10.1109/TEC.2004.827704 10.1109/TKDE.2009.37 10.1109/TPWRD.2005.860262 10.1016/j.ijepes.2010.01.029 10.1016/j.ijepes.2012.02.012 10.1016/j.ijepes.2013.05.040 10.1109/TPWRD.2008.915791 10.1371/journal.pone.0029847 10.1016/j.epsr.2007.03.008 10.1016/j.tre.2011.11.003 10.1109/TPWRS.2008.2009483 10.1109/TPWRS.2005.846219 10.1016/j.ijepes.2011.08.023 10.1080/15325000802388633 10.1109/TEC.2007.914180 10.1080/15325000601078146 |
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| Keywords | Performance indices Multi-objective function Distributed generator (DG) planning Hierarchical Agglomerative Clustering Algorithm (HACA) Performance evaluation Positioning Automatic classification Hierarchical Agglomerative Clustering Power system planning Multiobjective programming Power distribution planning Power generation planning Distributed generator (DC) planning Distributed power generation Algorithm Forecasting management Electrical network System simulation Algorithm (HACA) Objective function Electric power production Hierarchical system Effectiveness factor Distribution network |
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networked systems publication-title: Electr Power Comp Syst doi: 10.1080/15325000802388633 – volume: 23 start-page: 968 issue: 3 year: 2008 ident: 10.1016/j.ijepes.2013.11.021_b0035 article-title: Time-series based maximization of distributed wind power generation integration publication-title: IEEE Trans Energy Convers doi: 10.1109/TEC.2007.914180 – volume: 35 start-page: 489 issue: 5 year: 2007 ident: 10.1016/j.ijepes.2013.11.021_b0060 article-title: Locating distributed generators in the LMP based electricity market for the social welfare maximization publication-title: Electr Power Comp Syst doi: 10.1080/15325000601078146 |
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| Snippet | •Hierarchical Agglomerative Clustering Algorithm (HACA) based approach is proposed for DG planning.•This method employs only single stage in identification of... Planning of distributed generator (DG) units in the distribution system employing Hierarchical Agglomerative Clustering Algorithm (HACA) is proposed in this... |
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| SubjectTerms | Agglomeration Algorithms Applied sciences Clustering Computer simulation Distributed generation Distributed generator (DG) planning Electric power generation Electric power plants Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Hierarchical Agglomerative Clustering Algorithm (HACA) Miscellaneous Multi-objective function Multiple objective Operation. Load control. Reliability Performance indices Placement Power networks and lines |
| Title | Hierarchical Agglomerative Clustering Algorithm method for distributed generation planning |
| URI | https://dx.doi.org/10.1016/j.ijepes.2013.11.021 https://www.proquest.com/docview/1531006433 |
| Volume | 56 |
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