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

dc.contributor.authorKeerati Chayakulkheereeen_US
dc.date.accessioned2555-08-05T13:51:45Z
dc.date.available2555-08-05T13:51:45Z
dc.date.issued2555-08-05T13:51:45Z
dc.description.abstractThis 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.sponsorshipมหาวิทยาลัยศรีปทุมen_US
dc.identifier.urihttps://dspace.spu.ac.th/handle/123456789/3788
dc.language.isootheren_US
dc.relation.ispartofseriesGMSARN-012en_US
dc.subjectOptimal Power Dispatchen_US
dc.subjectEmmissionen_US
dc.titleMulti-Objective Optimal Power Flow Considering System Emissions and Fuzzy Constraintsen_US
dc.typeArticleen_US

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