شماره ركورد كنفرانس :
3788
عنوان مقاله :
Optimal DG Placement and Sizing Based on MICP in Radial Distribution Networks
عنوان به زبان ديگر :
Optimal DG Placement and Sizing Based on MICP in Radial Distribution Networks
پديدآورندگان :
Mousavi Mohammad mohammad.mousavi@ee.sharif.edu Department of Electrical Engineering Sharif University of Technology Tehran, Iran, 11365-11155 , Ranjbar Ali Mohammad amranjbar@sharif.edu Department of Electrical Engineering Sharif University of Technology Tehran, Iran, 11365-11155 , Safdarian Amir safdarian@sharif.edu Department of Electrical Engineering Sharif University of Technology Tehran, Iran, 11365-11155
كليدواژه :
Optimal DG placement , DG sizing , mixed integer conic programming , radial distribution network , distributed generation.
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
Electric distribution system is one of the most
important parts of power systems owing to delivering electricity
to consumers. The major amount of losses in a power system is in
distribution level. Optimal distributed generation (DG)
placement and sizing have a significant effect on power loss
reduction in distribution systems. In this paper, a mixed integer
conic programming (MICP) approach is presented to solve the
problem of DG placement, sizing, and hourly generation with the
aim of reducing power loss and costs in radial distribution
systems. The costs include both investment and operational costs
of DGs. Hourly load variations are considered in the model. To
verify the effectiveness of the proposed solution approach, studies
are carried out on the IEEE 33-bus distribution test system.
چكيده لاتين :
Electric distribution system is one of the most
important parts of power systems owing to delivering electricity
to consumers. The major amount of losses in a power system is in
distribution level. Optimal distributed generation (DG)
placement and sizing have a significant effect on power loss
reduction in distribution systems. In this paper, a mixed integer
conic programming (MICP) approach is presented to solve the
problem of DG placement, sizing, and hourly generation with the
aim of reducing power loss and costs in radial distribution
systems. The costs include both investment and operational costs
of DGs. Hourly load variations are considered in the model. To
verify the effectiveness of the proposed solution approach, studies
are carried out on the IEEE 33-bus distribution test system.
