شماره ركورد كنفرانس :
3788
عنوان مقاله :
Optimal Distribution Network Reconfiguration Considering Power Quality Issues
عنوان به زبان ديگر :
Optimal Distribution Network Reconfiguration Considering Power Quality Issues
پديدآورندگان :
Nazerian Emad nazerian@ee.sharif.edu Department of Electrical Engineering Sharif University of Technology Tehran, Iran , Gharebaghi Sina sina.gharebaghi@ee.sharif.edu Department of Electrical Engineering Sharif University of Technology Tehran, Iran , safdarian Amir safdarian@sharif.edu Department of Electrical Engineering Sharif University of Technology Tehran, Iran
كليدواژه :
distribution network , optimal reconfiguration , power quality , particle swarm optimization , network losses.
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
Distribution network reconfiguration as a technique
for reducing network losses and enhancing voltage profile has
attracted attention of many researchers. In spite of impacts network
reconfiguration can have on power quality indices, the potentials
have not been studied enough. To fill the gap, this paper
presents a method to determine optimum network configuration
considering voltage profile, network losses, and total harmonic
distortion (THD). The proposed method also vouches for radial
structure of the network, supplying all loads, and maintaining
voltages and currents within allowable bounds. Since network
reconfiguration problem is a combinatorial optimization problem,
a meta-heuristic method is applied here. The method is
based on a modified version of selective particle swarm optimization
(PSO). To investigate the effectiveness of the proposed method,
it is applied to the IEEE 69-bus standard test system and the
results are compared with those of genetic algorithm (GA) and
ant colony optimization (ACO).
چكيده لاتين :
Distribution network reconfiguration as a technique
for reducing network losses and enhancing voltage profile has
attracted attention of many researchers. In spite of impacts network
reconfiguration can have on power quality indices, the potentials
have not been studied enough. To fill the gap, this paper
presents a method to determine optimum network configuration
considering voltage profile, network losses, and total harmonic
distortion (THD). The proposed method also vouches for radial
structure of the network, supplying all loads, and maintaining
voltages and currents within allowable bounds. Since network
reconfiguration problem is a combinatorial optimization problem,
a meta-heuristic method is applied here. The method is
based on a modified version of selective particle swarm optimization
(PSO). To investigate the effectiveness of the proposed method,
it is applied to the IEEE 69-bus standard test system and the
results are compared with those of genetic algorithm (GA) and
ant colony optimization (ACO).
