A Linear Programming Method Based Optimal Power Flow Problem for Iraqi Extra High Voltage Grid (EHV)
Main Article Content
Abstract
The objective of an Optimal Power Flow (OPF) algorithm is to find steady state operation point which minimizes generation cost, loss etc. while maintaining an acceptable system performance in terms of limits on generators real and reactive powers, line flow limits etc. The OPF solution includes an objective function. A common objective function concerns the active power generation cost. A Linear programming method is proposed to solve the OPF problem. The Linear Programming (LP) approach transforms the nonlinear optimization problem into an iterative algorithm that in each iteration solves a linear optimization problem resulting from linearization both the objective function and constrains. A computer program, written in MATLAB environment, is developed to represent the proposed method. The adopted program is applied for the first time on Iraqi 24 bus Extra High Voltage (EHV) network (400 kV). The required are data taken from the operation and control office, which belongs to the ministry of electricity.
Article Details
How to Cite
Publication Dates
References
Acha, E., Ambriz-Pe´rez, H., Fuerte-Esquivel, C.R , 2000, Advanced Trans-former Control Modeling in An Optimal Power Flow Using Newton’s Method, IEEE Trans. Power Systems 15(1), pp. 290–298.
Alsac O., J. Bright, M. Prais and B. Stott, , 1990, Further Developments in LP-Based Optimal Power Flow, IEEE Transactions on Power Systems, Vol. 5( 3), pp. 697-711.
Barkovich B.R. and D. Hawk, 1996, Charting a New Course in California, IEEE Spectrum, Vol. 33, No. 7, July, pp. 26-31.
KhaledZehar& Samir Sayah, 2008, Optimal Power Flow with Environmental Constraint using a Fast Successive Linear Programming Algorithm, Application to the Algerian power system, Elsevier, Volume 49, Issue 11, November pp. 3362–3366.
Chamorel P-A., A. J. Germond, 1983, Optimal Voltage and Reactive Power Control in an Interconnected Power System with Linear Programming, CIGRE Study Committee 38, Montreaux.
Dommel H. W. and W. F. Tinney, 1968, Optimal Power Flow Solutions, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-87, October, pp. 1866-1876.
El-Hawary, M.E., Tsang, D.H., 1986, The Hydro-Thermal Optimal Power Flow, A Practical Formulation and Solution Technique Using Newton’s Approach, IEEE Trans. Power Systems PWRS-1(3), pp. 157–167,.
Huneault, M., Galiana, F.D., A, , 1991, Survey of the Optimal Power Flow Literature, IEEE Trans. Power Systems volume:6, Issue:2, pp. 762–770.
JizhongZho, 2009, Optimization Of Power System Operation, Institute Of Electrical and Electronics Engineers John Wiley & Sons, Inc., Hoboken, New Jersey.
Tareq A. Al-Muhawesh&Isa S. Qamber, 2008,The Established Mega Watt Linear Programming- Based Optimal Power Flow Model Applied to The Real Power 56-Bus System In Eastern Province of Saudi Arabia, Elsevier, Volume 33, Issue 1, January, pp. 12–21.
Giacomoni A.M.&Wollenberg B.F.,2010, Linear Programming Optimal Power Flow Utilizing A Trust Region Method, IEEE, North American Power Symposium (NAPS) .
Morgan M.G. and S. Talukdar, 1996 ,Nurturing R&D, IEEE Spectrum, Vol. 33, No.7, July pp. 32- 33.
Ye Tao,A , 2009, Sequential Linear Programming Algorithm for Security-Constrained Optimal Power Flow, IEEE, North American Power Symposium (NAPS) Conference.
Rudnick H., 1996, Pioneering Electricity Reform in South America, IEEE Spectrum, Vol. 33, No. 8, August pp. 38-44.
Sun D.I., B. Ashley, B. Brewer, A. Hughes and W. F. Tinney, 1984, Optimal Power Flow by Newton Approach, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-103, October pp. 2864- 2880.
Wood J. and B. F. Wollenberg, 1996, Power Generation Operation and Control, New York, NY: John Wiley & Sons, Inc., pp. 39-517,.