Artificial Neural Network - 1
BHARATI VIDYAPEETH DEEMED UNIVERSITY
COLLEGE OF ENGINEERING, PUNE – 43
CERTIFICATE
This is to certify that ,
Mr. Ankur Gupta
Class : B.E. ELECTRICAL Roll No . 10
has completed Seminar work Satisfactorily in the Department of Electrical engineering as prescribed by The Bharati Vidyapeeth Deemed University in the academic year 2004-05.
PROF. V.A. BUGADE PROF. V.A. BUGADE
Seminar Guide H.O.D.
Electrical Engg. Dept.
APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN VOLTAGE AND REACTIVE POWER CONTROL
Abstract
The aim of this seminar is to introduce a new technique to control the voltage and reactive power in power systems based on Artificial Neural Network (ANN). Feed-forward ANN with Back Propagation training algorithm is used and the training data is obtained by solving several abnormal conditions such as increase in load, increase in losses etc. using Linear Programming. Considering generator voltages, reactive power sources and transformer taps as control variables, and load bus voltages and generator reactive powers as dependent variables, the relations are derived according to relations based on Newton-Raphson load flow equations. The load increase and system losses are chosen as objective function so that the approach minimizes system losses and enhances voltage profile. This technique is tested by computer simulation on IEEE 6-bus power system and satisfactory results are obtained.
INTRODUCTION
One of the main requirements in power system is to keep the load bus voltage within limits specified for the proper operation of equipment. Any changes to the System configuration or in power demands can result in higher or lower voltages in the system. The operator can improve this situation by reallocating reactive Power generations in the system by
COLLEGE OF ENGINEERING, PUNE – 43
CERTIFICATE
This is to certify that ,
Mr. Ankur Gupta
Class : B.E. ELECTRICAL Roll No . 10
has completed Seminar work Satisfactorily in the Department of Electrical engineering as prescribed by The Bharati Vidyapeeth Deemed University in the academic year 2004-05.
PROF. V.A. BUGADE PROF. V.A. BUGADE
Seminar Guide H.O.D.
Electrical Engg. Dept.
APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN VOLTAGE AND REACTIVE POWER CONTROL
Abstract
The aim of this seminar is to introduce a new technique to control the voltage and reactive power in power systems based on Artificial Neural Network (ANN). Feed-forward ANN with Back Propagation training algorithm is used and the training data is obtained by solving several abnormal conditions such as increase in load, increase in losses etc. using Linear Programming. Considering generator voltages, reactive power sources and transformer taps as control variables, and load bus voltages and generator reactive powers as dependent variables, the relations are derived according to relations based on Newton-Raphson load flow equations. The load increase and system losses are chosen as objective function so that the approach minimizes system losses and enhances voltage profile. This technique is tested by computer simulation on IEEE 6-bus power system and satisfactory results are obtained.
INTRODUCTION
One of the main requirements in power system is to keep the load bus voltage within limits specified for the proper operation of equipment. Any changes to the System configuration or in power demands can result in higher or lower voltages in the system. The operator can improve this situation by reallocating reactive Power generations in the system by
References: [1] Gerald, B. Sheble, L., "EEE Tutorial Course, Reactive Power: Basics, Problems and Solutions". 1987. [2] kishore, A., Hill, E.F., “Static Optimization of Reactive Power Sources by use of Sensitivity Parameters”. IEEE Trans. on PAS, Vol. PAS-90, 1971, pp. 1166-1173. [3] Qiu, J., Shahidehpour, S.M. “A New Approach for Minimizing Power losses and Improving Voltage Profile”, IEEE Trans. on Power Systems, Vol.l, PWRS-2, No.2, 1987. [4] Hobson, E., “Network Constrained Reactive Power Control Using Linear Programming”, IEEE Trans. on Power Apparatus and Systems, Vol.l, PAS-99, No.3, 1980, pp. 868-874. [5] Liu, C.C, Tomsvick, K. “An Expert System assisting Decision–Making of Reactive Power/Voltage Control” IEEE Trans. on Power Systems, Vol.1, No.3, 1986.