Optimal placement of PMUs using improved tabu search for complete observability and out-of-step prediction

Amany EL-ZONKOLY; Samah EL-SAFTY; Rana MAHER

Article Details

Optimal placement of PMUs using improved tabu search for complete observability and out-of-step prediction

Authors:

Amany EL-ZONKOLY | Samah EL-SAFTY | Rana MAHER

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 5, pp.1376-1393

Document Type:

Article

Publication Date:

4/2013

Document Language:

Turkish

Document ID (Org No.):

2000743225

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

This paper proposes an optimization method for the optimal placement of   phasor measurement units (PMUs) for the complete observability of power   systems. The proposed method is based on numerical observability and   artificial intelligence. The artificial intelligence algorithm used is the   improved tabu search (ITS) algorithm. The ITS is used to find the optimal   placement for the PMU to keep the system completely observable. In addition,   the paper describes a predictive out-of-step (OOS) algorithm based on the   observation of the voltage phase difference between the substations. The   proposed optimal placement of the PMUs and the OOS algorithm is tested using   the IEEE 6-bus and IEEE 14-bus systems, and the Egyptian 500 kV network. The   test systems are simulated using the power system computer aided design   software program. The placement algorithm and the OOS prediction algorithm   are carried out using MATLAB script programs.

 

This paper proposes an optimization method for the optimal placement of   phasor measurement units (PMUs) for the complete observability of power   systems. The proposed method is based on numerical observability and   artificial intelligence. The artificial intelligence algorithm used is the   improved tabu search (ITS) algorithm. The ITS is used to find the optimal   placement for the PMU to keep the system completely observable. In addition,   the paper describes a predictive out-of-step (OOS) algorithm based on the   observation of the voltage phase difference between the substations. The   proposed optimal placement of the PMUs and the OOS algorithm is tested using   the IEEE 6-bus and IEEE 14-bus systems, and the Egyptian 500 kV network. The   test systems are simulated using the power system computer aided design   software program. The placement algorithm and the OOS prediction algorithm   are carried out using MATLAB script programs.

Article Details

Optimal placement of PMUs using improved tabu search for complete observability and out-of-step prediction

Authors: Amany EL-ZONKOLY | Samah EL-SAFTY | Rana MAHER

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 5, pp.1376-1393

Document Type: Article

Publication Date: 4/2013

Document Language: Turkish

Document ID (Org No.): 2000743225

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Amany EL-ZONKOLY | Samah EL-SAFTY | Rana MAHER

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue 5, pp.1376-1393

Document Type:

Article

Publication Date:

4/2013

Document Language:

Turkish

Document ID (Org No.):

2000743225

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632