A review on optimization methods applied to energy management system

  • Amel Graa Faculty of Economics and Business , UDL of Sidi Bel Abbes, Algeria
  • Farid Benhamida laboratoire IRECOM, Faculty of Electrical Engineering, UDL of Sidi Bel Abbes, Algeria
Keywords: optimization method, quadratic programming, linear programming, energy management system

Abstract


Energy is fundamental in supporting people’s daily subsists and the continual mission for human life improvement. The computer-aided instruments system used by electric utility grids or microgrids operators to control, monitor, and optimize the power system operation is generally named Energy Management System (EMS). The topic of optimization methods applied to decision making problems in such system is a difficult and complex combination of mathematical formulation, modeling and algorithmic solution. The best result in such process is applied to the problem to be optimized, which must be studied in great depth. Furthermore, difficult mathematical calculations and procedures can be elaborated; also, computer knowledge and software engineering competences must be provided. The subject of this paper is an overview of the existing important optimization methods used in electric power management system such as unit commitment, optimal power flow and economic dispatch.

Author Biographies

Amel Graa, Faculty of Economics and Business , UDL of Sidi Bel Abbes, Algeria
Associate Professor at Department of electrical Engineering, Faculty of Engineering, University of Sidi Bel Abbes
Farid Benhamida, laboratoire IRECOM, Faculty of Electrical Engineering, UDL of Sidi Bel Abbes, Algeria
Professor at Department of electrical Engineering, Faculty of Engineering, University of Sidi Bel Abbes

References

Ambrus-Somogyi, K. (2012). Mathematical programming in the engineering education. IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, Subotica, Serbia, 445 – 450.

Bacher, R. (2002). Optimization of Lineralized Electric Power Systems, html, http://www.eus.ee.ethz.ch/people/bacher.

Cheney, W., & Kincaid D. (2012). Numerical Mathematics and computing, 7th Revised ed. New York, US: Wadsworth Publishing Co Inc.

Ding, X., Wang, X., & Song, Y.H. (2004). Interior point cutting plane method for optimal power flow. IMA Journal of Management Mathematics, 15(4), 355-368.

Luc, D.T. (2015). Multiobjective Linear Programming: An Introduction. Springer.

Mathworks. (2018). The Help document of Optimization Toolbox, included in MATLAB R2018b, help, html, http:// www.mathwork.com.

Michael, J.B. (2017). Quadratic Programming with Computer Programs. 1st Edition, Chapman and Hall/CRC.

Nemhauser, G.L., Rinnooy Kan, A.H.G., & Todd, M.J. (1989). Optimization. Handbooks in operations research and management science, 1st Edition, North-Holland: Elsevier Science.

Quintana, V.H., Torres, G.L., & Palomo J.M. (2000). Interior-Point Methods and Their Applications to Power Systems: A Classification of Publications and Software Codes. IEEE Trans. on Power Systems, 15 (1), 170-176.

Ramos de Souza, R., Balbo, A.R., Nepomuceno, L., Baptista, E.C., Soler, E.M. & Pinheiro, R.B.N. (2017). A primal-dual interior/exterior point method, with combined directions and quadratic test in reactive optimal power flow problems. IEEE Latin America Transactions, 15 (8), 1413-1421.

Wang, H., Murillo-Sanchez, C.E., Zimmerman, R.D., & Thomas, R.J. (2007). On Computational Issues of Market-Based Optimal Power Flow. IEEE Transactions on Power Systems, 22 (3), 1185-1193.

Wu, L., & Shahidehpour, M. Security (2016). Constrained Unit Commitment with Uncertainties. Power Grid Operation in a Market Environment: Economic Efficiency and Risk Mitigation, 115-168.

El-Hawary, M.E., Christensen, G.S. (1979). Optimal Economic Operation of Electric Power Systems. New York, US: Academic Press.

Momoh, J.A. (2001). Electric Power System Applications of Optimization. New York, US: Marcel Dekker.

Zhu, J. (2015), Optimization of power system operation, Second Edition. New Jersey, US: John Wiley & Sons.

Published
2020/10/14
Section
Review