Research article Special Issues

Determination of transmission reliability margin using AC load flow

  • Received: 13 March 2020 Accepted: 29 July 2020 Published: 11 August 2020
  • In a power system, transmission reliability margin (TRM) is a key factor that determines the available transmission capability (ATC) ensuring the secure operation of the transmission network during the occurrence of uncertainties. Before transmitting available power through the network, it is necessary to know the secure margin. The secure margin determines whether it’s safe for transmission or not. The exact calculation of the transmission reliability margin is quite challenging due to the random disturbances in the transmission network. This paper introduces an effective technique for determining the TRM by AC load flow, considering the available transmission capability and sensitivity of three distinct system parameters such as load, transmission line impedance, and bus voltage magnitude. Numerical results demonstrate that the proposed technique is an attractive solution for calculating the ATC, sensitivity with respect to ATC, and TRM considering the effect of system parameters. The whole process is done for the standard IEEE-6 bus system considering multi-transactions. Finally, the calculated TRM values are compared with the existing techniques for justifying the effectiveness of the proposed technique.

    Citation: Awatif Nadia, Abdul Hasib Chowdhury, Esheta Mahfuj, Md. Sanwar Hossain, Khondoker Ziaul Islam, Md. Istianatur Rahman. Determination of transmission reliability margin using AC load flow[J]. AIMS Energy, 2020, 8(4): 701-720. doi: 10.3934/energy.2020.4.701

    Related Papers:

  • In a power system, transmission reliability margin (TRM) is a key factor that determines the available transmission capability (ATC) ensuring the secure operation of the transmission network during the occurrence of uncertainties. Before transmitting available power through the network, it is necessary to know the secure margin. The secure margin determines whether it’s safe for transmission or not. The exact calculation of the transmission reliability margin is quite challenging due to the random disturbances in the transmission network. This paper introduces an effective technique for determining the TRM by AC load flow, considering the available transmission capability and sensitivity of three distinct system parameters such as load, transmission line impedance, and bus voltage magnitude. Numerical results demonstrate that the proposed technique is an attractive solution for calculating the ATC, sensitivity with respect to ATC, and TRM considering the effect of system parameters. The whole process is done for the standard IEEE-6 bus system considering multi-transactions. Finally, the calculated TRM values are compared with the existing techniques for justifying the effectiveness of the proposed technique.


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    [1] Billinton R (1994) Evaluation of reliability worth in an electric power system. Reliab Eng Syst Saf 46: 15-23. doi: 10.1016/0951-8320(94)90044-2
    [2] Bazovsky I (2004) Reliability Theory and Practice. Dover Publications Inc., New York, USA.
    [3] Zhang J, Dobson I, Alvarado FL (2004) Quantifying transmission reliability margin. Int J Electr Power Energy Syst 26: 697-702. doi: 10.1016/S0142-0615(04)00071-7
    [4] Zaini RH, Othman MM, Musirin I, et al. (2010) Determination of transmission reliability margin considering uncertainties of system operating condition and transmission line outage. European Tran on Electr Power 21: 380-397.
    [5] Sauer PW (1998) Alternatives for calculating transmission reliability margin (TRM) in available transfer capability (ATC). In Proc of the Thirty-First Hawaii Int Conf on Syst Sciences 3: 89. doi: 10.1109/HICSS.1998.656069
    [6] Sauer PW (1997) Technical challenges of computing available transfer capability (ATC) in electric power systems. In Proc of the Thirtieth Hawaii Int Conf on Syst Sciences 5: 589-593. doi: 10.1109/HICSS.1997.663220
    [7] Othman MM, Mohamed A, Hussain A (2006) Determination of available transfer capability incorporating transmission reliability margin. IEEE Int Power and Energy Conf 2006: 185-190.
    [8] Rodrigues AB, Silva MGD (2011) Chronological simulation for transmission reliability margin evaluation with time varying loads. Int J Electr Power Energy Syst 33: 1054-1061. doi: 10.1016/j.ijepes.2011.01.024
    [9] Sharma AK, Kumar J (2011) ACPTDF for Multi-transactions and ATC determination in deregulated markets. Int J Electr Comput Eng (IJECE) 1: 71-84.
    [10] Kumar A, Srivastava SC (2002) AC power transfer distribution factors for allocating power transactions in a deregulated market. IEEE Power Eng Rev 22: 42-43.
    [11] Manjusha S, Rao JS (2015) Determination of ATC for single and multiple transactions in restructured power systems. Int J Electron Electr Eng 2: 21-29.
    [12] Venkatesh P, Gnanadass R, Padhy NP (2004) Available transfer capability determination using power transfer distribution factors. Int J of Emerging Electr Power Syst 1: 1-16.
    [13] Šošić D, Škokljev I (2013) Evolutionary algorithm for calculating available transfer capability. J Electr Eng 64: 1-7.
    [14] Kumar A, Srivastava SC, Singh SN (2004) Available transfer capability (ATC) determination in a competitive electricity market using ac distribution factors. Electric Power Compon Syst 32: 927-939. doi: 10.1080/15325000490253623
    [15] Dobson I, et al. (2001) Electric power transfer capability: concepts, applications, sensitivity, and uncertainty. PSERC Publication, New York, 01-34.
    [16] Greene S, Dobson I, Alvarado FL (2002) Sensitivity of transfer capability margins with a fast formula. IEEE Trans Power Syst 17: 34-40. doi: 10.1109/59.982190
    [17] Ghawghawe ND, Thakre KL (2006) Application of power flow sensitivity analysis and PTDF for determination of ATC. In Proc of the Int Conf on Power Electronic, Drives and Energy Syst 2006: 1-7.
    [18] Greene S, Dobson I (1998) Margin and sensitivity methods for security analysis of electric power systems. Ph.D. Thesis, ECE Dept, University of Wisconsin, Madison, WI USA.
    [19] Hossain MS, Rahman MF (2002) Hybrid solar PV/Biomass powered energy efficient remote cellular base stations. Int J Renewable Energy Res 10: 329-342.
    [20] Hossain MS, Jahid A, Islam KZ, et al. (2020) Solar PV and biomass resources-based sustainable energy supply for Off-Grid cellular base stations. IEEE Access 8: 53817-53840. doi: 10.1109/ACCESS.2020.2978121
    [21] Jahid A, Hossain MS, Monju MKH, et al. (2020) Techno-Economic and energy efficiency analysis of optimal power supply solutions for green cellular base stations. IEEE Access 8: 43776-43795. doi: 10.1109/ACCESS.2020.2973130
    [22] Hossain MS, Jahid A, Islam KZ, et al. (2020) Multi-Objective optimum design of hybrid renewable energy system for sustainable energy supply to a green cellular networks. Sustainability 12: 3536. doi: 10.3390/su12093536
    [23] Hossain MS, Raha BK, Paul D, et al. (2015) Optimization and generation of electrical energy using wind flow in rural area of Bangladesh. Res J Appl Sci, Eng Tech 10: 895-902. doi: 10.19026/rjaset.10.2445
    [24] Greene S, Dobson I, Alvarado FL (1997) Sensitivity of the loading margin to voltage collapse with respect to arbitrary parameters. IEEE Trans Power Syst 12: 262-272. doi: 10.1109/59.574947
    [25] Simpson-Porco JW, Bullo F (2016) Distributed monitoring of voltage collapse sensitivity indices. IEEE Trans Smart Grid 7: 1979-1988. doi: 10.1109/TSG.2016.2533319
    [26] Simfukwe D, Pal BC (2010) Improving system loading capacity using margin sensitivity and continuation. IREP Symp Bulk Power Syst Dyn Control-VIII (IREP) 2010: 1-4.
    [27] Sun X, Chen J, Zhu Q, et al. (2016) Assessment of transmission reliability margin using stochastic response surface method. IEEE Power and Energy Society General Meeting (PESGM), Boston 2016: 1-5.
    [28] Pham H (2006) Springer Handbook of Engineering Statistics. Springer, London.
    [29] Zakharova A, Savitskaya T, Egorov A (2019) Algorithm for calculating the reliability of chemical-engineering systems using the logical-and-probabilistic method in MATLAB. In Cyber-Phy Syst: Adv in Des & Mod, Springer 259: 237-249.
    [30] Selim HAO, Dessouki AS, Soliman HYM (2020) Verification analysis for the reliable analytical multi-taper detector in next-generation network. Bulletin Electr Eng Info 9: 1486-1496.
    [31] Jebur HQ, Al-Zaidee SR (2019) Non-deterministic approach for reliability evaluation of steel beam. J Eng 26: 121-141. doi: 10.31026/j.eng.2020.01.10
    [32] Christie RD, Wollenberg BF, Wangensteen I (2020) Transmission management in the deregulated environment. Int Proc IEEE 88: 170-195.
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