A novel evaluation approach for power distribution system planning based on linear programming model and ELECTRE III

Zhang, T; Zhang, G; Lu, J; Gu, J

A novel evaluation approach for power distribution system planning based on linear programming model and ELECTRE III

Zhang, T Zhang, G

Lu, J

Gu, J

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Fuzzy Systems, 2014, pp. 1921 - 1928
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Zhang, T	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Gu, J	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	IEEE International Conference on Fuzzy Systems, 2014, pp. 1921 - 1928	en_US
dc.identifier.isbn	9781479920723	en_US
dc.identifier.issn	1098-7584	en_US
dc.identifier.uri	http://hdl.handle.net/10453/37209
dc.identifier.uri	http://hdl.handle.net/10453/37208
dc.identifier.uri	http://hdl.handle.net/10453/34984
dc.description.abstract	© 2014 IEEE. To evaluate solutions of power distribution system planning (PDSP) is an essential task in smart grid and requires multi-criteria decision making (MCDM). However, the vagueness of attribute values and the fuzziness of weights of criteria need integrate fuzzy techniques with MCDM. In order to incorporate the issues with uncertainty in PDSP evaluation, this paper proposes a novel PDSP approach based on linear programming model and ELECTRE IIL The incomplete weight preference information of decision-maker is elicited and expressed by a group of weight constraint functions, combined these functions with the simple multi-attribute rating technique, a linear programming model is set up to obtain the weights for each solution. Then with the weights and a PDSP model based on ELECTRE III model, the outranking score of each solution compared with other solutions can be calculated, and a net present score for each solution will be obtained for ranking these solutions, DM can choose one desired. A case is demonstrated to show the evaluation process using this approach and the results indicate that this approach incorporating the issues with uncertainty is robust for PDSP evaluation. The results are acceptable to DM.	en_US
dc.relation.ispartof	IEEE International Conference on Fuzzy Systems	en_US
dc.relation.isbasedon	10.1109/FUZZ-IEEE.2014.6891697	en_US
dc.title	A novel evaluation approach for power distribution system planning based on linear programming model and ELECTRE III	en_US
dc.type	Conference Proceeding
utslib.for	080105 Expert Systems	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. To evaluate solutions of power distribution system planning (PDSP) is an essential task in smart grid and requires multi-criteria decision making (MCDM). However, the vagueness of attribute values and the fuzziness of weights of criteria need integrate fuzzy techniques with MCDM. In order to incorporate the issues with uncertainty in PDSP evaluation, this paper proposes a novel PDSP approach based on linear programming model and ELECTRE IIL The incomplete weight preference information of decision-maker is elicited and expressed by a group of weight constraint functions, combined these functions with the simple multi-attribute rating technique, a linear programming model is set up to obtain the weights for each solution. Then with the weights and a PDSP model based on ELECTRE III model, the outranking score of each solution compared with other solutions can be calculated, and a net present score for each solution will be obtained for ranking these solutions, DM can choose one desired. A case is demonstrated to show the evaluation process using this approach and the results indicate that this approach incorporating the issues with uncertainty is robust for PDSP evaluation. The results are acceptable to DM.

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http://hdl.handle.net/10453/34984