Optimal DG Placement and Sizing Based on MICP in Radial Distribution Networks

عنوان به زبان ديگر

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

تعداد صفحه

6

كليدواژه

Optimal DG placement , DG sizing , mixed integer conic programming , radial distribution network , distributed generation.

سال انتشار

1396

عنوان كنفرانس

هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96

زبان مدرك

انگليسي

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.

كشور

ايران