TY - GEN
T1 - Reconfiguration of distribution network with DG using fuzzy multi-objective method
AU - Syahputra, Ramadoni
AU - Robandi, Imam
AU - Ashari, Mochamad
PY - 2012
Y1 - 2012
N2 - This paper presents a reconfiguration methodology based on a fuzzy multi-objective approach for achieving the minimum active power loss and the maximum voltage magnitude of radial distribution networks with distributed generations. Multi-objective function are considered for load balancing among the feeders, minimization of the real power loss, deviation of nodes voltage, and branch current constraint violation, while subject to a radial network structure in which all loads must be energized. These objective functions are modeled with fuzzy sets to evaluate the imprecise nature of each objective. Originality of the research is that the fuzzy-based multi-objective optimization in reconfiguration of distribution network including the distributed generation. The implementation of the fuzzy multi-objective for distribution reconfiguration on a 70 nodes distribution network with distributed generation is described. The simulation results show that a 37.92% of active power loss reduction is achieved by the method.
AB - This paper presents a reconfiguration methodology based on a fuzzy multi-objective approach for achieving the minimum active power loss and the maximum voltage magnitude of radial distribution networks with distributed generations. Multi-objective function are considered for load balancing among the feeders, minimization of the real power loss, deviation of nodes voltage, and branch current constraint violation, while subject to a radial network structure in which all loads must be energized. These objective functions are modeled with fuzzy sets to evaluate the imprecise nature of each objective. Originality of the research is that the fuzzy-based multi-objective optimization in reconfiguration of distribution network including the distributed generation. The implementation of the fuzzy multi-objective for distribution reconfiguration on a 70 nodes distribution network with distributed generation is described. The simulation results show that a 37.92% of active power loss reduction is achieved by the method.
KW - Distribution network reconfiguration
KW - distributed generation
KW - fuzzy logic
KW - multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=84864800651&partnerID=8YFLogxK
U2 - 10.1109/ICIMTR.2012.6236410
DO - 10.1109/ICIMTR.2012.6236410
M3 - Conference contribution
AN - SCOPUS:84864800651
SN - 9781467306553
T3 - ICIMTR 2012 - 2012 International Conference on Innovation, Management and Technology Research
SP - 316
EP - 321
BT - ICIMTR 2012 - 2012 International Conference on Innovation, Management and Technology Research
T2 - 2012 International Conference on Innovation, Management and Technology Research, ICIMTR 2012
Y2 - 21 May 2012 through 22 May 2012
ER -