Coordinated Allocation of Dispersed Reactive Power Resources for Voltage Regulation and Loss Minimization

  • Authors

    • Abdelrahman O. Idris
    • Hussain Shareef
    • S. N. Khalid
    • Md. M. Islam
    • Siddiqul Akbar
    • Ashwaq A. Alkhatib
    2019-01-18
    https://doi.org/10.14419/ijet.v8i1.7.25971
  • distribution network, reactive power sources, optimal planning, tabu search algorithm.
  • Abstract

    The major problems faced by utility companies are to provide standard voltage levels and to minimize system power losses. This paper introduces a coordinated allocation of multiple distributed reactive energy resources to regulate system voltage and minimize power losses. For this purpose sensitivity study is used to determine the appropriate location for placing distributed reactive energy resources and thereby reduce the search. The Al-Ain power distribution network (AADN) is considered as a real-world case study. For the AADN under investigation, a suitable objective function is formulated to lessen the installation cost and electric power losses. The problem is resolved by using the tabu search optimization method and DIgSILENT PowerFactory simulation software. Results depict that the proposed method can minimize system electric power losses and improve voltage regulation.

     

     

  • References

    1. [1] Garvita U., Rachit S., Gaurav J., Optimal capacitor placement and sizing in distribution system using hybrid approach of PSO-GA, IEEE International Conference on advances in electrical Technology for Green Energy, (2017), 1-6.

      [2] Thomas G., Abdel-Raheem Y., Mohamed E., Salah K., Ant lion optimization technique for optimal capacitor placement based on total cost and power loss minimization, Innovative Trends in Computer Engineering (ITCE), Aswan, Egypt, (2018), 350-356.

      [3] Shehata R.H., Mekhamer S.F., Badr M.A.L., Solution of the capacitor allocation problem using a new accelerated particle swarm optimization algorithm, International Journal on Power Engineering and Energy (IJPEE), (2013), 406-413.

      [4] Mustafa S., Arief A., Nappu M. B., Optimal capacitor placement and economic analysis for reactive power compensation to improve system's efficiency at Bosowa Cement Industry, Maros, International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Indonesia, (2018), 778-783.

      [5] Shih-Min H., Holley H.J., Smith W. M, Piatt D.G., Optimal capacitor placement in radial distribution systems using teaching learning-based optimization, Elect. Power Energy Syst., 54 (2014), 387–398.

      [6] Mohamed A.A., Kamel S., Aly M.M., A simple analytical technique for optimal capacitor placement in radial distribution systems, Nineteenth International Middle East Power Systems Conference (MEPCON), Cairo, (2017), 928-933.

      [7] Masum M.A.S., Ladjevardi L.M., Fuchs E.F., Grady E.M., Optimal placement and sizing of fixed and switched capacitor banks under non-sinusoidal operating conditions, IEEE Power Engineering Society Meeting, Chicago, USA, (2002), 807-818.

      [8] Delfanti G.P.G.M., Marannino P., Montagna M., Optimal capacitor placement using deterministic and genetic algorithms, IEEE Trans. Power Syst., 15 (2000), No. 3, 1041-1046.

      [9] Angelo A.M.F., Benemar A.S., Franklin, M.P.P., Helon D.M.B., Optimal localization of voltage regulator banks in distribution system based on technical and economic criteria, International Conference and Exhibition on Electricity Distribution, Turin, Italy, (2005), 1-4.

      [10] Masum M.A.S., Ladjvardi M., Fuchs E. F., Optimal placement and replacement for minimum sizing of capacitor banks in distorted distribution networks by genetic algorithms, IEEE Trans. Power Del., vol. 19 (2004), No. 4, 1794-1801.

      [11] Ishak S., Abidin A.F., Rahman T.K.A., Static var compensator planning using artificial immune system for losses minimization and voltage improvement, National Power & Energy Conference, Kuala Lumpur, Malaysia, (2004), 41-45.

      [12] Reza E., Reza N., Heidar A.S., Optimal placement of SVC based on line flow base equation using mixed integer nonlinear programming, Power and Energy Engineering Conference (APPEEC), Chengdu, China, (2010), 1–5.

      [13] Chiradeja P., Ramakumar R., Voltage profile improvement with distributed wind turbine generation–Case Study, IEEE Power Engineering Society General Meeting, Toronto, Canada, (2003), 23-36.

      [14] Chiradeji B., Benefit of distributed generator: A line losses reduction analysis, IEEE Asia and Pacific Transmission and Distribution Conference and Exhibition, Bangkok, Thailand, (2005), 1-5.

      [15] Senjyu T., Yona Y.A., Urasaki N., Funabashi T., Optimal control of distribution voltage with coordination of distribution installations, IEEE Power Engineering Society General Meeting, Tampa, USA, (2007), 1-7.

      [16] Andrew K., Mark O.M., Optimal allocation of embedded generation on distribution networks, IEEE Trans. Power Syst., 20 (2005), No. 3, 1640-1646..

      [17] Popovic D.H., Greatbanks J.A., Begovic M., Pregeljd A., Placement of distributed generators and reclosers for distribution network Security and Reliability, J. Elect. Power Energy Syst., 27 (2005), 398-408.

      [18] Xuejun X.U., Cheng W., Xiaoliang F., A Tabu search approach for distribution network reconfiguration based on GIS, International Workshop on Intelligent Systems and Applications, Wuhan, China, (2009), 1-4..

      [19] Rugthaicharoencheep N., Sirisumrannukul S., Feeder reconfiguration for loss reduction in three-phase distribution system under unbalanced loading conditions, International Universities Power Engineering Conference UPEC, Cardiff, UK, (2010), 1–6.

      [20] Chang C.S., Lern L.P., Application of Tabu search strategy in solving non-differentiable savings function for the calculation of savings due to shunt capacitor installation in a radial distribution System, IEEE Power Engineering Society Winter Meeting, Singapore, (2000), 2328-2332.

      [21] Yoshihiro O., Hiroyuki M., Parallel dual Tabu search for capacitor placement in smart grids, Procedia Comp. Sci., 12 (2012), 307-313.

      [22] Arefifar S.A., Mohamed Y.A.I, El-Fouly T.H.M., Supply-adequacy-based optimal construction of micro-grids in smart distribution system, IEEE Trans. Smart Girds, 3 (2012), No. 3, 1491-1502.

      [23] Golshan M.E.H., Arefifar S.A., Distributed generation reactive sources and network-configuration planning for power and energy loss reduction, IEE Proc-Generation Transmission and Distribution, 153 (2006), No. 2, 127-136.

      [24] Yann C.H., Hong T.Y., Cheng L.H., Solving the capacitor placement problem in a radial distribution system using Tabu search approach, IEEE Trans. Power Syst., 11 (1996), No. 4, 1868-1887.

      [25] Jong Y.P., Jin M.S., Jong K.P., Optimal capacitor allocation in a distribution system considering operation costs, IEEE Trans. Power Syst., 24 (2009), No. 1, 462-468.

      [26] Li L., Zeng X., Zhang P., Xia Y., Liu G., Optimization of reactive power compensation in wind farms using sensitivity analysis and Tabu algorithm, IEEE Industry Applications Society Annual Meeting, Canada, (2008), 1-5.

      [27] Shaaban M., Azit A.H., Nor K.M., Grid integration policies of gas-fired cogeneration in Peninsular Malaysia Fallacies and counterexamples, Energy Polices, 39 (2011), No. 9, 5063-5075.

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  • How to Cite

    O. Idris, A., Shareef, H., N. Khalid, S., M. Islam, M., Akbar, S., & A. Alkhatib, A. (2019). Coordinated Allocation of Dispersed Reactive Power Resources for Voltage Regulation and Loss Minimization. International Journal of Engineering & Technology, 8(1.7), 153-161. https://doi.org/10.14419/ijet.v8i1.7.25971

    Received date: 2019-01-16

    Accepted date: 2019-01-16

    Published date: 2019-01-18