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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Bibliographic Details
Published in:International journal of electrical power & energy systems Vol. 56; pp. 259 - 269
Main Authors: Vinothkumar, K., Selvan, M.P.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.03.2014
Elsevier
Subjects:
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
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
ISSN:0142-0615, 1879-3517
Online Access:Get full text
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Description
Summary:•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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2013.11.021