Power Quality Enhancement by Integrating Distributed Generation in Distribution System

  • Authors

    • Mr. Rajesh Kumar Samala
    • Dr. K Mercy Rosalina
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.24.21881

  • Abstract

    This research is to enhance the quality of power by reduce real power loss in distribution system and enables voltage profile enhancement at each bus. This will achieve by integrating Distributed Generation (DG) in optimal place with suitable size. In order to overcome the disadvantage of sluggish convergence of conventional algorithms the BAT Algorithm (BA) is used. In this paper the week buses are finding by using Backward/Forward (BW/FW) sweep approach based on real power loss. Later by using BA approach determination of optimal capacity and location will be done. This optimal size and location will leads to great minimization in real power loss and improvement of voltage at each bus. In this research the wind energy and Photo Voltaic (PV) energies are consider as DGs. This research is to determine the advantage of the proposed analysis on IEEE-69 radial bus using MATLAB software. The results were evaluated with the GSA approach existing in literature. Finally simulation outcomes prove that the proposed approach performance is superior in enhancing the power quality by optimal placement of DG and capacity of the DG.

  • References

    1. [1] A.M. El-Zonkoly, “Optimal placement of multi-distributed generation units including different load models using particle swarm optimizationâ€, Swarm and Evolutionary Computation, Vol. 1, pp. 50–59, 2011.

      [2] U. Sultana, Azhar B. Khairuddin, M.M. Aman, A.S. Mokhtar, N. Zareen, “A review of optimum DG placement based on minimization of power losses and voltage stability enhancement of distribution systemâ€, “Renewable and Sustainable Energy Reviews, Vol. 63, pp. 363–378, 2016.

      [3] S.Chandrashekhar Reddy, P.V.N.Prasad, A.JayaLaxmi, “Reliability Improvement of Distribution system by Optimal Placement of DGs using PSO and Neural Networkâ€, In proceedings of International Conference on Computing, Electronics and Electrical Technologies [ICCEET], 2012.

      [4] R.A. Jabr and B.C. Pal, “Ordinal optimisation approach for locating and sizing of distributed generationâ€, IET Generation, Transmission, Distribution, Vol. 3, No. 8, pp. 713 –723, 2009.

      [5] Rashmi Priya, Surya Prakash, “Optimal Location and Sizing of Generator in Distributed Generation Systemâ€, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering Vol. 2, No. 3, March 2014.

      [6] C. Nayanatara, J. Baskaran and D.P. Kothari, “Hybrid optimization implemented for distributed generation parameters in a power system networkâ€, Electrical Power and Energy Systems, Vol. 78, pp. 690–699, 2016.

      [7] Juan Andrés Martín García and Antonio José Gil Mena, “Optimal distributed generation location and size using a modified teaching–learning based optimization algorithmâ€, Electrical Power and Energy Systems, Vol. 50, pp. 65–75, 2013.

      [8] M. Gomez-Gonzalez,A. López and F. Jurado, “Optimization of distributed generation systems using a new discrete PSO and OPFâ€, Electric Power Systems Research, Vol. 84, pp. 174– 180, 2012.

      [9] Pavlos S. Georgilakis, and Nikos D. Hatziargyriou, “Optimal Distributed Generation Placement in Power Distribution Networks: Models, Methods, and Future Researchâ€, IEEE Transactions On Power Systems, Vol. 28, No. 3, August 2013.

      [10] Prem Prakash, Dheeraj K. Khatod, “Optimal sizing and siting techniques for distributed generation in distribution systems: A reviewâ€, Renewable and Sustainable Energy Reviews, Vol. 57, pp. 111–130, 2016.

      [11] Satish Kansal, Vishal Kumar and Barjeev Tyagi, “Optimal placement of different type of DG sources in distribution networksâ€, Electrical Power and Energy Systems, Vol. 53, pp.752–760, 2013.

      [12] Banaja Mohanty and Sasmita Tripathy, “A teaching learning based optimization technique for optimal location and size of DG in distribution networkâ€, Journal of Electrical Systems and Information Technology, Vol. 3, pp. 33–44, 2016.

      [13] Sambariya, D.K. and Prasad, R., “Robust tuning of power system stabilizer for small signal stability enhancement using metaheuristic bat algorithm. International Journal of Electrical Power & Energy Systems, 61, pp.229-238. 2014.

      [14] Abd-Elazim SM, Ali ES, “Load frequency controller design via BAT algorithm for nonlinear interconnected power systemâ€, International Journal of Electrical Power & Energy Systems, Vol. 77, pp. 166-77, 2016.

  • Downloads

  • How to Cite

    Samala, M. R. K., & Rosalina, D. K. M. (2018). Power Quality Enhancement by Integrating Distributed Generation in Distribution System. International Journal of Engineering & Technology, 7(4.24), 167-171. https://doi.org/10.14419/ijet.v7i4.24.21881

    Received date: 2018-11-27

    Accepted date: 2018-11-27

    Published date: 2018-11-27