Multi-Objective Optimal Power Flow Considering System Emissions and Fuzzy Constraints

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DC Field	Value	Language
dc.contributor.author	Keerati Chayakulkheeree	-
dc.date.accessioned	2551-02-22T07:29:54Z	-
dc.date.available	2551-02-22T07:29:54Z	-
dc.date.issued	2007-12-12	-
dc.identifier.uri	http://dspace.spu.ac.th/handle/123456789/820	-
dc.description.abstract	This paper proposes a fuzzy multi-objective optimal real power flow (FMOPF) with transmission line limit and transformer loading constraints. In the proposed FMOPF algorithm, the total system operating cost, total system SO2, NOx, and CO2 emissions fuzzy minimization objectives are solved simultaneously considering fuzzy line flow constraints, using fuzzy linear programming (FLP). The proposed FMOPF is tested with the IEEE 30 bus system. The simulation results shown that the proposed FMOPF can efficiently and effectively trade off among total system operating cost and total system SO2, NOx, and CO2 emissions.	en_US
dc.description.sponsorship	Sripatum University	en_US
dc.language.iso	en_US	en_US
dc.publisher	Proceeding of International Conference on Sustainable Development: Challenges and Opportunities for the Greater Mekong Subregion	en_US
dc.relation.ispartofseries	GMSARN-012	en_US
dc.subject	Optimal Power Dispatch	en_US
dc.subject	Emmission	en_US
dc.title	Multi-Objective Optimal Power Flow Considering System Emissions and Fuzzy Constraints	en_US
dc.type	Article	en_US
Appears in Collections:	บทความวิชาการ

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