Transmission Expansion Planning for 133 Bus Tamilnadu Test System Using Bacterial Foraging Optimization Algorithm (Bfoa)

  • Authors

    • S Prakash
    • Joseph Henry
    https://doi.org/10.14419/ijet.v7i3.24.22838
  • Transmission Expansion Planning, GA, BFOA, TPI.
  • In a creating nation like Indian, necessary energy infra framework has to be ramped up to fulfill the increasing requirement for energy. Development of Transmitting System is a vital factor in providing ability to the desperate areas. Lack of transmission potential in Tamilnadu in some areas, it is not able to leave wind energy to its full level. In this document, a multiple purpose operate is integrated which contains financial requirements as well as technological and adequacy requirements. Usually Economic requirements include the investment price, the servicing price and the function price but due to market circumstances it comes with price escalation due to venture wait, price escalation due to rising prices and price escalation due to Right of Way. In this document an method for Transmitting Expansion Planning (TEP) is developed by presenting a Transmitting Preparing Index (TPI). TPI is developed as a multi-objective operate and enhanced using different methods like Genetic Algorithms (GA) and Bacterial Foraging Optimization Algorithm (BFOA). The suggested strategy is verified by executing TEP for 133 Bus TNS (Tamil Nadu System). Blockage price also analyzed for the different circumstances in this paper

     

  • References

    1. [1] HosseeinSiefi and Mohammad SadeghSepasian, “Electric Power System Planningâ€, Springer-Verlag Berlin Heidelberg 2011.

      [2] H.Lee Willis and Muhammad H.Rashid, “Understanding Electric Utilities and Deregulationâ€, CRC Press, Taylor & Francis Group, 2006.

      [3] R.Villasana, L.L.Garver and S.L.Salon, “Transmission network planning using linear programmingâ€, IEEE Trans. Power Apparat. Syst., vol PAS-104, pp 349-356, Feb. 1985.

      [4] Y.P. Dusonchet and A.H.El-Abaid, “Transmission planning using discrete dynamic optimizationâ€, IEEE Trans. Power Apparat. Syst., vol PAS-92, pp 1358-1371, July 1973.

      [5] H.K.Yousef and R.Hackam, “New Transmission planning modelâ€, IEEE Trans. Power Syst., vol. 4, pp 9-18, Feb 1989.

      [6] S.Binato, M.V.F.Pereira and S.Granville, “A new Benders decomposition approach to solve power transmission network design problemsâ€, IEEE Trans. Power Syst., vol. 16, pp 235-240, May, 2001.

      [7] V.A. Levi and M.S.Calovic, “A new decomposition based method for optimal expansion planning of lage transmission ntworksâ€, IEEE Trans. Power Syst., vol. 6, pp 937-943, Aug., 1991.

      [8] Irenio de J. Silva and Marcos J. Rider, “Transmission Network Expansion Planning Considering Uncertainty in Demandâ€, IEEE Transactions on Power Systems, Vol. 21, No. 4, November 2006.

      [9] Lina P. Garces and Antonio J. Conejo, “A Bilevel Approach to Transmission Expansion Planning Within a Market Environmentâ€, IEEE Transactions on Power Systems, Vol. 24, No. 3, August 2009.

      [10] Han Yu and C. Y. Chung ,“Robust Transmission Network Expansion Planning Method With Taguchi’s Orthogonal Array Testingâ€, IEEE Transactions on Power Systems, Vol. 26, No. 3, August 2011.

      [11] Min Xieand JinZhong, “ Multiyear Transmission Expansion Planning Using Ordinal Optimizationâ€, IEEE Transactions on Power Systems, Vol. 22, No. 4, November 2007

      [12] G Srinivasulu, B Subramanyam and M Surya Kalavathi, “Reliability evaluation of transmission expansion planning using heuristic methods Int. J. Power and Energy Conversion, Vol. 7, No. 1, 2016.

      [13] Armando M, Leite da silva, “Constructive metaheuristics applied to transmission expansion planning with security constraintsâ€, 19th International Conference onIntelligent System Application to Power Systems (ISAP), 2017.[14] Junpeng Zhan, CY Chung and AlirezaZare, “A Fast Solution Method for Stochastic Transmission Expansion Planning â€, IEEE Transactions on Power Systems, Volume: 32, Issue: 6, Nov. 2017.[15] Xuan Zhang and Antonio J Conejo, “Robust Transmission Expansion Planning Representing Long- and Short-term Uncertaintyâ€, IEEE Transactions on Power Systems, Volume: PP, Issue: 99, June 2017.[16] V Laura Monica Escobar, “Long term transmission expansion planning considering generation-demand scenarios and HVDC linesâ€, IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA), 2016 .[17] KeshavaDilwali , “Transmission expansion planning using benders decomposition and local branching â€, IEEEPower and Energy Conference at Illinois (PECI), 2016. [18] Hossein Khazaei, “A new transmission expansion planning framework and cost allocation method considering financial transmission rights â€, 7th International Conference onInformation and Automation for Sustainability (ICIAfS), 2014.

      [19] Study on Project Schedule and cost overruns, KPMG (Initiative by Ministry of Statistics and Programme Implementation, Govt. of India), November 2012.

      [20] A report on “Economic survey of India (2012-13)â€, Union Budget and Economic survey, January 2012.

      [21] Comptroller and Auditor General (COG) of India report on planning and implementation of transmission projects by Power Grid Corporation of India Limited (PGCIL) and Grid management by Power System Operation Corporation Limited (POSOCO), Govt. of India, March 2013.

      [22] Grigsby L.L., “Electric Power Engineeringâ€, CRC Press, LLC, 2001.

      [23] Lothar M. Schmitt, “Theory of genetic algorithms“, Theoretical Computer Science, Elsevier, Volume 259, Issues 1–2, PP.1-61, May 2001.

      [24] L. Davis, Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York, 1991.

      [25] Passino, K.M.: Biomimicry of Bacterial Foraging for Distributed Optimization and Control. IEEE Control Systems Magazine, 52–67 (2002).

      [26] Liu, Y., Passino, K.M.: Biomimicry of Social Foraging Bacteria for Distributed Optimization: Models, Principles, and Emergent Behaviors. Journal of Optimization Theory and Applications 115(3), 603–628 (2002).

      [27] Tripathy, M., Mishra, S.: Bacteria Foraging-Based to Optimize Both Real Power Loss and Voltage Stability, IEEE Transactions on Power Systems, Vol. 22, No. 1, February 2007.

      [28] A report on “Statistics at a Glance, 2013-14â€, TNEB Limited, Chennai, Tamilnadu, March 2015.

      [29] Mr G Srinivasulu, Dr B Subramanyam&Dr M Surya Kalavathi, “Long term load forecasting for southern grid Indian power System using ANN approach for Transmission Expansion Planningâ€, International Journal of Engineering Science and Technology, Vol. 7, No.7, Page no’s: 232-238, Jul 2015.

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    Prakash, S., & Henry, J. (2018). Transmission Expansion Planning for 133 Bus Tamilnadu Test System Using Bacterial Foraging Optimization Algorithm (Bfoa). International Journal of Engineering & Technology, 7(3.24), 666-670. https://doi.org/10.14419/ijet.v7i3.24.22838