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2015 | 128 | 2B | B-138-B-141
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Development and Operational Planning of Power Systems by Comparing Scenarios during Multi-Objective Optimization

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Multi-objective optimization in development and operational planning of power systems becomes crucially important for system designers or operators. In addition, appropriate procedures increasingly involve comparison of scenarios, each with variables that have to be neither dimensionally nor qualitatively comparable. Selecting the best solution is usually performed posteriorly by comparing the results of different scenarios. In order to eliminate unnecessary calculations during the optimization, especially in the case of large number of scenarios, it is useful to eliminate the scenarios with bad indicators. This process can significantly reduce the computational time. It results in a timely elimination of all inferior scenarios, thus simplifying the decision-making. This paper analyses the methods and the efficiency of comparison of different scenarios being simultaneously processed using NSGA-II and MOPSO optimization procedures. The proposed procedures are discussed in the example of selecting the type, the size and the location of FACTS in transmission networks. Different scenarios consider the common types of these devices, wherein the number of devices depends on the system. The paper proposes the reduction of the optimization procedures. Having no significant influence on the final set of optimal solutions, the proposed modifications are significant and applicable.
  • School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
  • School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
  • School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
  • [1] J.A. Momoh, M.E. El-Hawary, R. Adapa, IEEE Trans. Power Syst. 14, 96 (1999), doi: 10.1109/59.744492
  • [2] K.S. Pandya, S.K. Joshi, J. Theor. Appl. Inform. Technol. 4, 450 (2008)
  • [3] K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms, Wiley, UK 2001
  • [4] J.H. Chow, F.F. Wu, J.A. Momoh, Applied Mathematics for Restructured Electric Power Systems, Springer, USA 2005, doi: 10.1007/b101578
  • [5] J. Momoh, L. Mili, Economic Market Design and Planning for Electric Power Systems, IEEE Press, Wiley, New Jersey 2010, doi: 10.1002/9780470529164
  • [6] M.A. Abido, Electric Power Syst. Res. 79, 1105 (2009), doi: 10.1016/j.epsr.2009.02.005
  • [7] M. Reyes-Sierra, C.A. Coello Coello, Int. J. Computat. Intellig. Res. 2, 287 (2006)
  • [8] E. Acha, C.R. Fuerte-Esquivel, H. Ambriz-Pérez, C. Angeles-Camacho, FACTS Modelling and Simulation in Power Networks, Wiley, Chichester 2004, doi: 10.1002/0470020164
  • [9] G. Glanzmann, G. Andersson, in: Proc. 37 North American Power Symp., Ames (USA), Ames 2005, p. 141, doi: 10.1109/NAPS.2005.1560515
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