شماره ركورد كنفرانس :
3788
عنوان مقاله :
Chance Constrained Power-Flow for Voltage Regulation in Distribution Systems
عنوان به زبان ديگر :
Chance Constrained Power-Flow for Voltage Regulation in Distribution Systems
پديدآورندگان :
Hashemipour Seyed Naser n.hashemipour@sutech.ac.ir Faculty of Electrical Electronic Engineering Shiraz University of Technology , Aghaei Jamshid aghaei@sutech.ac.ir Faculty of Electrical Electronic Engineering Shiraz University of Technology
كليدواژه :
chance constrainted OPF , distribution systems , forecasting error , uncertainty , voltage regulation
عنوان كنفرانس :
هفتمين كنفرانس ملي شبكه هاي هوشمند انرژي 96
چكيده فارسي :
The enormous benefits of distributed generation make
them used increasingly. But the shortage of proper control of these
resources causes problems in the network. The interference in the
performance of various network equipment is one of these
problems. So, a scheduled planning for the operation of these
resources is very important. In current paper, an optimized model
with probable constraints is indicated that provides a suitable time
scheduling for coordinating the performance of the tap-changer,
distributed generation sources and batteries, by taking into
account the impact of the forecast error of consuming loads and
generating power of photovoltaic units. The main characteristic of
the indicated method is to consider uncertainty without the need
for past system information. Finally, for testing the provided
method, the standard network of the IEEE 33-bus has been
studied.
چكيده لاتين :
The enormous benefits of distributed generation make
them used increasingly. But the shortage of proper control of these
resources causes problems in the network. The interference in the
performance of various network equipment is one of these
problems. So, a scheduled planning for the operation of these
resources is very important. In current paper, an optimized model
with probable constraints is indicated that provides a suitable time
scheduling for coordinating the performance of the tap-changer,
distributed generation sources and batteries, by taking into
account the impact of the forecast error of consuming loads and
generating power of photovoltaic units. The main characteristic of
the indicated method is to consider uncertainty without the need
for past system information. Finally, for testing the provided
method, the standard network of the IEEE 33-bus has been
studied.
