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An Empirical Relationship for Capacitor Bank Requirement for Distribution Utilities


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1 Engineering Officer, Power Systems Division, CPRI, Bengaluru – 560080, Karnataka, India
     

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Load growth and seasonal variations in loading pattern are two key factors for the poor voltage profile in power distribution utilities (DISCOM). Shunt capacitor banks are the most economical compensating devices widely preferred for local reactive power management & voltage control in these utilities. In most of the large sized power systems, the network data is not readily available for modelling DISCOM and this is a great hurdle for identifying reactive power compensation requirement for DISCOM. Regional Power Committees are engaged in coordination with transmission utilities for management of reactive power exchange for better voltage control during their operations. Regional Power Committee are not in a position to validate/guide the DISCOM for Capacitor Bank requirement due to non-availability of DISCOM Network. In this article, an empirical relationship for capacitor bank requirement for DISCOM has been developed based on the variation in loading profile and nature of loading for a defined DISCOM network. This identified capacitor bank requirement is validated against the amount of compensation needed at upstream transmission substation level. In this research work, it has been observed that proposed empirical relationship for capacitor bank requirement is quite a handily tool for estimating capacitor requirement without modelling the DISCOM network.

Keywords

Capacitor Banks, Distribution Networks, Load Flow, Peak Loading, Voltage Control.
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  • Prabha K. Power system stability and control. McGraw- Hill; 1994.
  • IEGC, Regulation. 2010
  • Haque MH. Determination of steady-state voltage stability limit using P-Q curve. IEEE Power Engineering Review. 2002; 22(4):71–2. https://doi.org/10.1109/MPER.2002.4312118
  • Ajjarapu V. Computational techniques for voltage stability assessment and control. New York: Springer; 2007. https:/ doi.org/10.1007/978-0-387-32935-2
  • Kazemi A, Sadeghi M. Distributed generation allocation for loss reduction and voltage improvement. 2009 Asia-Pacific Power and Energy Engineering Conference, Wuhan; 2009. p. 1–6. https://doi.org/10.1109/APPEEC.2009.4918287
  • Ajjarapu V, Christy C. The continuation power flow: a tool for steady state voltage stability analysis. IEEE Transactions on Power Systems. 1992 Feb; 7(1):416–23. https://doi.org/10.1109/59.141737
  • Tamp F, Ciufo P. A sensitivity analysis toolkit for the simplification of MV distribution network voltage management. IEEE Transactions on Smart Grid. 2014 5(2):559–68. https://doi.org/10.1109/TSG.2014.2300146
  • Singh M, Vardhan TV, Pradhan J, Meera KS. Reactive power management in transmission networks. 2017 7th International Conference on Power Systems (ICPS), Pune; 2017. p. 568–72. https://doi.org/10.1109/ICPES.2017.8387358
  • Dixon J, Moran L, Rodriguez J, Domke R. Reactive power compensation technologies: State-of-the-art review. Proceedings of the IEEE. 2005 93(12):2144–64. https://doi.org/10.1109/JPROC.2005.859937
  • Ng HN, Salama MMA, Chikhani AY. Classification of capacitor allocation techniques. IEEE Transactions on Power Delivery. 2000 15(1):387–92. https://doi.org/10.1109/61.847278
  • Bae YG. Analytical method of capacitor allocation on distribution primary feeders. IEEE Transactions on Power Apparatus and Systems. 1978 PAS-97(4):1232–8. https:// doi.org/10.1109/TPAS.1978.354605
  • Lakra NS, Prakash P, Jha RC. Power quality improvement of distribution system by reactive power compensation. 2017 International Conference on Power and Embedded Drive Control (ICPEDC), Chennai; 2017. https://doi.org/10.1109/ICPEDC.2017.8081125
  • Askarzadeh A. Capacitor placement in distribution systems for power loss reduction and voltage improvement: A new methodology. IET Generation, Transmission and Distribution. 2016; 1(14):3631–8. https://doi.org/10.1049/ iet-gtd.2016.0419
  • El-Ela AAA, El-Sehiemy RA, Kinawy A, Mouwafi MT. Optimal capacitor placement in distribution systems for power loss reduction and voltage profile improvement. IET Generation, Transmission and Distribution. 2016; 10(5):1209–21. https://doi.org/10.1049/iet-gtd.2015.0799
  • de Souza BA, Alves HN, Ferreira HA. Microgenetic algorithms and fuzzy logic applied to the optimal placement of capacitor banks in distribution networks. IEEE Transactions on Power Systems. 2004 19(2):942–7. https://doi.org/10.1109/TPWRS.2004.825901
  • Cho MY, Chen YW. Fixed/switched type shunt capacitor planning of distribution systems by considering customer load patterns and simplified feeder model. IEE Proceedings - Generation, Transmission and Distribution. 1997 144(6):533–40. https://doi.org/10.1049/ip-gtd:19971387
  • Masoum MAS, Ladjevardi M, Jafarian A, Fuchs EF. Optimal placement, replacement and sizing of capacitor Banks in distorted distribution networks by genetic algorithms. IEEE Transactions on Power Delivery. 2004 19(4):1794–801. https://doi.org/10.1109/TPWRD.2004.835438
  • Swarnkar A, Gupta N, Niazi KR. Optimal placement of fixed and switched shunt capacitors for large-scale distribution systems using genetic algorithms. IEEE; 2010. https://doi.org/10.1109/ISGTEUROPE.2010.5638938
  • PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Gothenberg; 2010.

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  • An Empirical Relationship for Capacitor Bank Requirement for Distribution Utilities

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Authors

Athira Unni
Engineering Officer, Power Systems Division, CPRI, Bengaluru – 560080, Karnataka, India
Manohar Singh
Engineering Officer, Power Systems Division, CPRI, Bengaluru – 560080, Karnataka, India

Abstract


Load growth and seasonal variations in loading pattern are two key factors for the poor voltage profile in power distribution utilities (DISCOM). Shunt capacitor banks are the most economical compensating devices widely preferred for local reactive power management & voltage control in these utilities. In most of the large sized power systems, the network data is not readily available for modelling DISCOM and this is a great hurdle for identifying reactive power compensation requirement for DISCOM. Regional Power Committees are engaged in coordination with transmission utilities for management of reactive power exchange for better voltage control during their operations. Regional Power Committee are not in a position to validate/guide the DISCOM for Capacitor Bank requirement due to non-availability of DISCOM Network. In this article, an empirical relationship for capacitor bank requirement for DISCOM has been developed based on the variation in loading profile and nature of loading for a defined DISCOM network. This identified capacitor bank requirement is validated against the amount of compensation needed at upstream transmission substation level. In this research work, it has been observed that proposed empirical relationship for capacitor bank requirement is quite a handily tool for estimating capacitor requirement without modelling the DISCOM network.

Keywords


Capacitor Banks, Distribution Networks, Load Flow, Peak Loading, Voltage Control.

References





DOI: https://doi.org/10.33686/pwj.v16i2.157281