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Reliability improvement in distribution systems employing an integrated voltage sag mitigation method using binary gravitational search algorithm

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Abstract

A method for improving the level of reliability of distribution systems is presented by employing an integrated voltage sag mitigation method that comprises a two-staged strategy, namely, distribution network reconfiguration (DNR) followed by DSTATCOM placement. Initially, an optimal DNR is applied to reduce the propagated voltage sags during the test period. The second stage involves optimal placement of the DSTATCOM to assist the already reconfigured network. The gravitational search algorithm is used in the process of optimal DNR and in placing DSTATCOM. Reliability assessment is performed using the well-known indices. The simulation results show that the proposed method is efficient and feasible for improving the level of system reliability.

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References

  1. SUN Qiu-ye, LI Zhong-xu, YANG Jun, LOU Yan-hong. Load distribution model and voltage static profile of smart grid [J]. Journal of Central South University of Technology, 2010, 17: 824–829.

    Article  Google Scholar 

  2. IEEE. STD. 1366, IEEE Guide for electric power distribution reliability indices [S].

  3. HOSSEINI M, SHAYANFAR H A, FOTUHI F. M., Reliability improvement of distribution systems using SSVR [J]. ISA Transactions, 2009, 48(1): 98–106.

    Article  Google Scholar 

  4. SKOONPONG A S, SIRISUMRANNUKUL S. Network reconfiguration for reliability worth enhancement in distribution systems by simulated annealing [C]// International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Thailand: IEEE Press, 2008: 937–940.

    Chapter  Google Scholar 

  5. VITORINO R M, NEVES L P, JORGE H M. Network reconfiguration to improve reliability and efficiency in distribution systems [C]// International Conference on Power Tech, Romania: IEEE Press, 2009: 1–7.

    Google Scholar 

  6. IEEE. STD. 1159, Recommended practice for monitoring electric power quality [S].

  7. CHEN S L, CHEN G B, HSU S C, CHEN A Y T, GUO T Y, HUANG F F, HUANG Y C. Mitigation of voltage sags by network reconfiguration of a utility power system [C]// International Conference on Transmission and Distribution Conference and Exhibition, Japan: IEEE Press, 2002: 2067–2072.

    Chapter  Google Scholar 

  8. YUN S Y, OH J H, RIM S J, KIM J C. Mitigation of voltage sag using feeder transfer in power distribution system [C]// Power Engineering Society Summer Meeting, USA: IEEE Press, 2000: 1421–1426.

    Google Scholar 

  9. SALMAN N, SHAREEF H, MOHAMED A. Reinforcement of power distribution network against voltage sags using graph theory [C]// IEEE Student Conference on Research and Development, Malaysia: IEEE Press, 2009: 341–344.

    Google Scholar 

  10. SALMAN N, SHAREEF H, MOHAMED A. Optimal network reconfiguration for voltage sag mitigation in distribution systems using improved genetic algorithm [J]. International Review of Electrical Engineering, 2011, 6(3): 1356–1364.

    Google Scholar 

  11. SALMAN N, SHAREEF H, MOHAMED A. Voltage sag mitigation by combining optimal network reconfiguration and DSTATCOM placement using gravitational search algorithm [J]. International Review of Electrical Engineering, 2011, 6(4): 2502–2512.

    Google Scholar 

  12. RASHEDI E, NEZAMABADIPOUR H, SARYAZDI S. BGSA: binary gravitational search algorithm [J]. Natural Computing 2010, 9(1): 727–745.

    Article  MathSciNet  MATH  Google Scholar 

  13. ESLAMI M., SHAREEF H, MOHAMED A, KHAJEHZADEH M. Gravitational search algorithm for coordinated design of PSS and TCSC as damping controller [J]. Journal of Central South University 2012, 19: 923–932.

    Article  Google Scholar 

  14. AFSHINMANESH F, MARANDI A, RAHIMI-KIAN A. A novel binary particle swarm optimization method using artificial immune system [C]// International Conference on Computer as a Tool, Belgarde: IEEE Press, 2005: 217–220.

    Google Scholar 

  15. BROOKS D L, DUGAN R C, WACLAWIAK M, SUNDARAM A. Indices for assessing utility distribution system RMS variation performance [J]. IEEE Transactions on Power Delivery, 1998, 13(1): 254–259.

    Article  Google Scholar 

  16. IEEE. STD. 493, Recommended practice for the design of reliable industrial and commercial power systems [S].

  17. SEMI-F47-0706-STD, Specifications for semiconductor processing equipment voltage sag immunity [S].

  18. IEEE. STD. 859, IEEE Standard terms for reporting and analyzing outage occurrences and outage states of electrical transmission facilities [S].

  19. SANNINO A, MILLER M G, BOLLEN M H J. Overview of voltage sag mitigation [C]// Power Engineering Society Winter Meeting, USA: IEEE Press, 2000: 2872–2878.

    Google Scholar 

  20. CIVANLAR S, GRAINGER J J, YIN H, LEE S S H. Distribution feeder reconfiguration for loss reduction [J]. IEEE Transactions on Power Delivery, 1988, 3(3): 1217–1223.

    Article  Google Scholar 

  21. YAN Z, MILANOVIC J V. Global voltage sag mitigation with facts-based devices [J]. IEEE Transactions on Power Delivery, 2010, 25(4): 2842–2850.

    Article  Google Scholar 

  22. VENKATESH C, REDDY P, SARMA D V S S S. Mitigation of voltage sags/swells using PWM switched autotransformer [C]// International Conference on Harmonics and Quality of Power, Australia: IEEE Press, 2008: 1–6.

    Google Scholar 

  23. ZHANG Y. Techno-economic assessment of voltage sag performance and mitigation [D]. Manchester, U.K: University of Manchester, School of Electrical and Electronic Engineering, 2008.

    Google Scholar 

  24. MILANOVIC J V, ZHANG Y. Modeling of FACTS devices for voltage sag mitigation studies in large power systems [J]. IEEE Transactions on Power Delivery, 2010, 25(1): 3044–3052.

    Article  Google Scholar 

  25. IEEE. STD. 141, Recommended practice for electric power distribution for industrial plants [S].

  26. RASHEDI E, NEZAMABADI-POUR H, SARYAZDI S. GSA: A gravitational search algorithm [J]. Information Sciences, 2009, 179(13): 2232–2248.

    Article  MATH  Google Scholar 

  27. RASHEDI E, NEZAMABADI-POUR H, SARYAZDI S. Filter modeling using gravitational search algorithm [J]. Engineering Applications of Artificial Intelligence, Elsevier, 24(1): 117–122.

  28. SALMAN N, SHAREEF H, MOHAMED A. Reliability improvement in distribution systems by optimal placement of DSTATCOM using binary gravitational search algorithm [J]. Przegląd Elektrotechniczny, 2012, (R. 88): 295–299.

    Google Scholar 

  29. IEEE-STD-399, IEEE recommended practice for industrial and commercial power systems analysis [S].

  30. AUNG M T, MILANOVIC J V, GUPTA C P. Propagation of asymmetrical sags and the influence of boundary crossing lines on voltage sag prediction [J]. IEEE Transactions on Power Delivery, 2004, 19(4): 1819–1827.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical, Electronics and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600, Bangi, Malaysia

    Salman Nesrullah, Mohamed Azah & Shareef Hussain

Authors
  1. Salman Nesrullah
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  2. Mohamed Azah
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  3. Shareef Hussain
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Correspondence to Salman Nesrullah.

Additional information

Foundation item: Project(DIP-2012-30) supported by the Universiti Kebangsaan, Malaysia

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Nesrullah, S., Azah, M. & Hussain, S. Reliability improvement in distribution systems employing an integrated voltage sag mitigation method using binary gravitational search algorithm. J. Cent. South Univ. 20, 3002–3014 (2013). https://doi.org/10.1007/s11771-013-1824-0

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  • DOI: https://doi.org/10.1007/s11771-013-1824-0

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