Multi-Objective Fuzzy Model in Optimal Sitingand Sizing of DG for Loss Reduction

Authors: H. Shayeghi, B. Mohamadi

Abstract:

This paper presents a possibilistic (fuzzy) model in optimal siting and sizing of Distributed Generation (DG) for loss reduction and improve voltage profile in power distribution system. Multi-objective problem is developed in two phases. In the first one, the set of non-dominated planning solutions is obtained (with respect to the objective functions of fuzzy economic cost, and exposure) using genetic algorithm. In the second phase, one solution of the set of non-dominated solutions is selected as optimal solution, using a suitable max-min approach. This method can be determined operation-mode (PV or PQ) of DG. Because of considering load uncertainty in this paper, it can be obtained realistic results. The whole process of this method has been implemented in the MATLAB7 environment with technical and economic consideration for loss reduction and voltage profile improvement. Through numerical example the validity of the proposed method is verified.

Keywords: Fuzzy Power Flow, DG siting and sizing, LoadUncertainty, Multi-objective Possibilistic Model.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079382

References:

[1] B. Mohammadi., A.R. Seifi, Fuzzy load flow in radial distribution systems with considering load uncertainty, Proc. of the 21th International power system conference, Tehran, Iran, 2006, Article No: 98-F-PDS-773.
[2] K. Kauhaniemi, Fuzzy models and techniques for the calculation of radial distribution networks, Proc. Of the IEEE/NTUA Athens Power Technical Conference, Athens, Greece, Sept. 1993, pp. 423-428.
[3] Carmen L.T. Borges, Djalma M. Falcao, Optimal distributed generation allocation for reliability, losses, and voltage improvement, Electrical Power and Energy Systems, Vol. 28, No. 6, 2006, pp. 413-420.
[4] G. Celli, F. Pilo, Optimal distribution generation allocation in MV distribution networks, Proc. of the 22nd IEEE International Conference on Power Industry Computer Applications, Power Engineering Society, 2001, pp. 81-86.
[5] N. Mithulananthan, T. Oo, L.V. Phu, Distributed generation placement in power distribution system using genetic algorithm to reduce loss, Thammasa International Journal of Science and Technology, Vol. 9, No. 3, 2004, pp. 55-62.
[6] T. Niknam, A.M. Ranjbar A.R. Shirani, Impact of distributed generation on Volt/Var control in distribution networks, Proc. of the IEEE Bologna Power Technology Conference, Bologna, Italy, Vol. 3, 2003, p. 7.
[7] C. Pathomthat , R. Ramakumar, An approach to quantify the technical benefits of distributed generation, IEEE Trans. on Energy Conversion, Vol. 19, No. 4, 2004, pp. 764-773.
[8] G. P. Harrison, A. Piccolo, P. Siano A. R. Wallace, Distributed generation capacity evaluation using combined genetic algorithm and OPF, International Journal of Emerging Electric Power Systems, Vol. 8, No. 2, 2007.
[9] V. H. M. Quezada, J. R. Abbad, T. G. S. Román, Assessment of energy distribution losses for increasing penetration of distributed generation, IEEE Trans. on power systems, Vol. 21, No. 2, 2006
[10] E. Haesen, M. Espinoza, B. Pluymers, I. Goethals, V. V. Thong, J. Driesen, R. Belmans, B. D. Moor, Optimal placement and sizing of distributed generator units using genetic optimization algorithm, Electrical Power Quality and Utilisation, Journal, Vol. 11, No. 1, 2005, pp. 97-104.
[11] F. R. Davalos, M. R. Irving, An Approach on the Strength Pareto evolutionary algorithm 2 for power distribution Planning, www.lania.mx/~ccoello/rivas05.pdf.gz.
[12] G. Celli, E. Ghiani, S. Mocci, F. Pilo, A multiobjective evolutionary algorithm for the sizing and siting of distributed generation, IEEE Trans. on Power Systems, Vol. 20, No. 2, 2005, pp. 750 - 757.
[13] I. J. R. Rosado, and J. A. D. Navarro, New multi-objective Tabu search algorithm for fuzzy optimal planning of power distribution systems, IEEE Trans. on Power Systems, Vol. 21, No. 1, 2006, pp. 224- 233.
[14] J. T. Saraiva, V. Miranda, L.M.V.G. Pinto, Impact on some planning decision from a fuzzy modeling of power system, IEEE Trans. on Power Systems, Vol. 9, No. 2, 1994, pp. 819 - 825.
[15] W. El-Khattam, K. Bhattacharya, Y. Hegazy, M. M. A. Salama, Optimal investment planning for distributed generation in a competitive electricity market, IEEE Trans. on power systems, Vol. 19, No. 3, 2004, pp. 1674 - 1684.
[16] B. Venkatesh, R. Ranjan, H. B. Gooi, Optimal reconfiguration of radial distribution systems to maximize loadability, IEEE Power Engineering Society General Meeting, Vol. 1, 2004, p. 409.