Rule-based Hybrid Discretization of Discrete Particle Swarm Optimization for Optimal PV System Allocation

This paper discusses the application of a hybrid discretiziation method for the discretization procedure that needs to be included in discrete particle swarm optimization (DPSO) for the problem of allocating PV (photovoltaic) systems onto distribution power systems. For this purpose, this paper proposes a rule-based expert system considering the objective function value and its optimizing speed as the input parameters and applied it to the PV allocation problem including discrete decision variables. For multi-level discretization, this paper adopts a hybrid method combined with a simple rounding and sigmoid funtion based 3-step and 5-step quantization methods, and the application of the rule based expert system proposing the adequate discretization method at each PSO iteration so that the DPSO with the hybrid discretization can provide better performance than the previous DPSO.

[1]  B. Noble,et al.  On certain integrals of Lipschitz-Hankel type involving products of bessel functions , 1955, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[2]  T. Yorozu,et al.  Electron Spectroscopy Studies on Magneto-Optical Media and Plastic Substrate Interface , 1987, IEEE Translation Journal on Magnetics in Japan.

[3]  M. Young.  The technical writer's handbook : writing with style and clarity , 1989 .

[4]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[5]  A. Feliachi,et al.  Stability enhancement of a distribution network comprising a fuel cell and a microturbine , 2004, IEEE Power Engineering Society General Meeting, 2004..

[6]  Keiichiro Yasuda,et al.  A basic study of adaptive particle swarm optimization , 2005 .

[7]  Alcherio Martinoli,et al.  Discrete Multi-Valued Particle Swarm Optimization , 2006 .

[8]  Kalyan Veeramachaneni,et al.  Probabilistically Driven Particle Swarms for Optimization of Multi Valued Discrete Problems : Design and Analysis , 2007, 2007 IEEE Swarm Intelligence Symposium.

[9]  Hosam K. M. Youssef,et al.  Optimum VAR sizing and allocation using particle swarm optimization , 2007 .

[10]  M. Fotuhi-Firuzabad,et al.  Optimal Switch Placement in Distribution Systems Using Trinary Particle Swarm Optimization Algorithm , 2008, IEEE Transactions on Power Delivery.

[11]  Young Hoon Joo,et al.  A novel multi-level quantization scheme for discrete particle swarm optimization , 2009, 2009 IEEE International Conference on Fuzzy Systems.