Multiobjective daily Volt/VAr control in distribution systems with distributed generation using binary ant colony optimization

Reza AZIMI; Saeid ESMAEILI

Makale detayları

Multiobjective daily Volt/VAr control in distribution systems with distributed generation using binary ant colony optimization

Yazarlar:

Reza AZIMI | Saeid ESMAEILI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 3, pp.613-629

Belge Tipi:

Makale

Yayın Tarihi:

2/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000743285

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

This paper presents a multiobjective daily voltage and  reactive power control (Volt/VAr) in radial distribution systems,  including distributed generation units.  The main purpose is to  determine optimum dispatch schedules for on-load tap changer (OLTC)  settings at substations, substation-switched capacitors, and  feeder-switched capacitors based on the day-ahead load forecast.  The  objectives are selected to minimize the voltage deviation on the  secondary bus of the main transformer, total electrical energy losses,  the number of OLTCs, and capacitor operation and voltage fluctuations  in distribution systems for the next day.  Since this model is the  weighted sum of individual objective functions, an analytic hierarchy  process is adopted to determine the weights.  In order to simplify the  control actions for OLTC at substations, a time interval-based control  strategy is used for decomposition of a daily load forecast into  several sequential load levels.  A binary ant colony optimization  (BACO) method is used to solve the daily voltage and reactive control,  which is a nonlinear mixed-integer problem.  To illustrate the  effectiveness of the proposed method, the Volt/VAr control is  performed in IEEE 33-bus and 69-bus distribution systems and its  performance is compared with the genetic, hybrid binary genetic, and  particle swarm optimization algorithms.  The simulation results verify  that the BACO algorithm gives better performances than other  algorithms.

 

This paper presents a multiobjective daily voltage and  reactive power control (Volt/VAr) in radial distribution systems,  including distributed generation units.  The main purpose is to  determine optimum dispatch schedules for on-load tap changer (OLTC)  settings at substations, substation-switched capacitors, and  feeder-switched capacitors based on the day-ahead load forecast.  The  objectives are selected to minimize the voltage deviation on the  secondary bus of the main transformer, total electrical energy losses,  the number of OLTCs, and capacitor operation and voltage fluctuations  in distribution systems for the next day.  Since this model is the  weighted sum of individual objective functions, an analytic hierarchy  process is adopted to determine the weights.  In order to simplify the  control actions for OLTC at substations, a time interval-based control  strategy is used for decomposition of a daily load forecast into  several sequential load levels.  A binary ant colony optimization  (BACO) method is used to solve the daily voltage and reactive control,  which is a nonlinear mixed-integer problem.  To illustrate the  effectiveness of the proposed method, the Volt/VAr control is  performed in IEEE 33-bus and 69-bus distribution systems and its  performance is compared with the genetic, hybrid binary genetic, and  particle swarm optimization algorithms.  The simulation results verify  that the BACO algorithm gives better performances than other  algorithms.

Makale detayları

Multiobjective daily Volt/VAr control in distribution systems with distributed generation using binary ant colony optimization

Yazarlar: Reza AZIMI | Saeid ESMAEILI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 3, pp.613-629

Belge Tipi: Makale

Yayın Tarihi: 2/2013

Belge Dili: Türkçe

Document ID (Org No.): 2000743285

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Reza AZIMI | Saeid ESMAEILI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 3, pp.613-629

Belge Tipi:

Makale

Yayın Tarihi:

2/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000743285

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632