An Intelligent Approach for Management of Hybrid DG System

Authors: Ali Vaseghi Ardekani, Hamid Reza Forutan, Amir Habibi, Ali Reza Rajabi, Hasan Adloo

Abstract:

Distributed generation units (DGs) are grid-connected or stand-alone electric generation units located within the electric distribution system at or near the end user. It is generally accepted that centralized electric power plants will remain the major source of the electric power supply for the near future. DGs, however, can complement central power by providing incremental capacity to the utility grid or to an end user. This paper presents an efficient power dispatching model for hybrid wind-Solar power generation system, to satisfy some essential requirements, such as dispersed electric power demand, electric power quality and reducing generation cost and so on. In this paper, presented some elements of the main parts in the hybrid system; and then made fundamental dispatching strategies according to different situations; then pointed out four improving measures to improve genetic algorithm, such as: modify the producing way of selection probability, improve the way of crossover, protect excellent chromosomes, and change mutation range and so on. Finally, propose a technique for solving the unit's commitment for dispatching problem based on an improved genetic algorithm.

Keywords: Power Quality, Wind-Solar System, Genetic Algorithm, Hybrid System.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1094505

References:

[1] T. Ackerman, G. Anderson, L. Soder, "Distributed generation: a definition”, Elsevier Sci. 195–204, 2003.
[2] A. Merlin, H. Back, "Search for a minimal-loss operating spanning tree configuration in an urban power distribution system”,in: Proceedings of the Fifth Power System Computation Conference, Cambridge, UK, pp. 1–18, 1975.
[3] H.L. Lam, P.S. Varbanov, J. Klemes, "Regional renewable energy and resource planning”,Appl Energy;88(2):545–50, 2011.
[4] Connolly D, Lund H, Mathiesen BV, Leahy M, "A review of computer tools for analysing the integration of renewable energy into various energy systems”,. Appl Energy;87(4):1059–82, 2010.
[5] R.C. Dugan, T.E. Mcdermott, G.J. Ball, "Planning for distributed generation”, IEEE Ind Appl Mag 2001;7(2):80–8, 2001.
[6] W. Sweet, "Network assets. IEEE Spectr;38(1):84–8, 2001.
[7] L. Philipson, "Distributed and dispersed generation: addressing the spectrum of consumer needs”, In: IEEE Power Engineering Society summer meeting, vol. 3; p. 1663–5, 2000.
[8] K. Nara, Y. Hayashi, K. Ikeda, T. Ashizawa, "Application of tabu search to optimal placement of distributed generators”, In: IEEE Power Engineering Society winter meeting, vol. 1; p. 918–23, 2001.
[9] W. El-Khattam, T.G. Hegazy, M.M.A. Salama, "An integrated distributed generation optimization model for distribution system planning”,IEEE Trans Power Syst;20:1158–65, 2005.
[10] W. El-Khattam, K. Bhattacharya, Y. Hegazy, M.M.A. Salama, "Optimal investment planning for distributed generation in a competitive electricity market”, IEEE Trans Power Syst;19:1674–84, 2004.