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Optimal Placement and Sizing of Distributed Generation in Radial Distribution System Using Differential Evolution Algorithm

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7677))

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Abstract

Integration of renewable energy based distributed generation (DG) units provides potential benefits to conventional distribution systems. The power injections from renewable DG units located close to the load centers provide an opportunity for system voltage support, reduction in energy losses and emissions, and reliability improvement. Therefore, the allocation of DG units should be carefully determined with the consideration of different planning incentives. Optimal placement and sizing of DG in distribution network is an optimization problem with continuous and discrete variables. This paper proposes a Differential Evolution Algorithm (DEA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power loss and improve the voltage profile within the frame work of system operation and security constraints. The proposed DE algorithm is also used to determine optimal sizes and locations of multi-DGs. The proposed method is tested on standard IEEE 69-bus test system and the results are presented and compared with different approaches available in the literature. The proposed method has outperformed than the other methods in terms of the quality of solution and computational efficiency.

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References

  1. Ackermann, T., Andersson, G., Soder, L.: Distributed generation: a definition. Electrical Power System Research 57(3), 195–204 (2001)

    Article  Google Scholar 

  2. Khan, H., Choudhry, M.A.: Implementation of distributed generation algorithm for performance enhancement of distribution feeder under extreme load growth. International Journal of Electrical Power and Energy Systems 32(9), 985–997 (2010)

    Article  Google Scholar 

  3. Hung, D.Q., Mithulanathan, N., Bansal, R.C.: Multiple distributed generators placement in primary distribution networks for loss reduction. IEEE Transactions on Industrial Electronics (in press)

    Google Scholar 

  4. Ziari, I., Ledwich, G., Ghosh, A., Cornforth, D., Wishart, M.: Optimal allocation and sizing of DGs in distribution networks. In: IEEE Power and Energy Society General Meeting, pp.1–8 (2010)

    Google Scholar 

  5. Kamel, R.M., Karmanshahi, B.: Optimal size and location of DGs for minimizing power losses in a primary distribution network. Transaction on Computer Science and Electrical and Electronics Engineering 16(2), 137–144 (2009)

    MATH  Google Scholar 

  6. Singh, D., Singh, D., Verma, K.S.: Multi-objective optimization for DG planning with load models. IEEE Transactions on Power Systems 24(1), 427–436 (2009)

    Article  Google Scholar 

  7. Storn, R., Price, K.: Differential Evolution – “A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces”, Technical Report TR-95-012, ICSI (1995)

    Google Scholar 

  8. Haque, M.H.: Efficient load flow method for distribution systems with radial or mesh configuration. IEE Proc. on Generation, Transmission and Distribution 143(1), 33–38 (1996)

    Article  Google Scholar 

  9. Charkravorty, M., Das, D.: Voltage stability analysis of radial distribution networks. Int. J. Electrical Power Energy Syst. 23(2), 129–135 (2001)

    Article  Google Scholar 

  10. Vovos, P.N., Bialek, J.W.: Direct incorporation of fault level constraints in optimal power flow as a tool for network capacity analysis. IEEE Trans. Power Syst. 20(4), 2125–2134 (2005)

    Article  Google Scholar 

  11. Moradi, M.H., Abedini, M.: A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Electrical Power and Energy Systems 34, 66–74 (2012)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Nayak, M.R., Dash, S.K., Rout, P.K. (2012). Optimal Placement and Sizing of Distributed Generation in Radial Distribution System Using Differential Evolution Algorithm. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-35380-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35379-6

  • Online ISBN: 978-3-642-35380-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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