Research article Special Issues

Mitigation of power evacuation constraints associated with transmission system of Kawai-Kalisindh-Chhabra thermal power complex in Rajasthan, India

  • Received: 07 February 2020 Accepted: 17 May 2020 Published: 21 May 2020
  • Transmission system of the Rajasthan state, India is used to transfer power from the centralized generating stations to load centers. There is a thermal complex in the Kota region which includes four thermal power stations (TPS). These are Kawai Super Critical TPS (SCTPS), Chhabra TPS, Chhabra SCTPS, and Kalisindh TPS. Existing transmission system is not sufficient to evacuate power from this thermal complex during the contingency conditions. Hence, restructuring of the existing power network is required to mitigate the power evacuation constraints from this thermal complex. This research presents an optimized design for the restructuring of the transmission network associated with this thermal complex to mitigate power evacuation constraints. This is achieved by analysing the various possible options of the creation of various 400/220 kV GSS or 220/132 kV GSS in the region. Research also considered replacement of the existing ICTs at the thermal power stations by ICTs of higher ratings. The strength of the proposed restructured power system network is tested during various contingency conditions so that the power system network always takes care of power evacuation from the thermal complex and avoids the requirement of backing down the generation. Modified network is tested using the load flow study as well as a short circuit study. Results of these studies established that creation of 400/220 kV GSS at Sangod will be technically most feasible, effective and sufficient to mitigate the power evacuation constraints associated with the thermal complex. The study is performed using the MiPower software.

    Citation: Shoyab Ali, Annapurna Bhargava, Rameshwar Singh, Om Prakash Mahela, Baseem Khan, Hassan Haes Alhelou. Mitigation of power evacuation constraints associated with transmission system of Kawai-Kalisindh-Chhabra thermal power complex in Rajasthan, India[J]. AIMS Energy, 2020, 8(3): 394-420. doi: 10.3934/energy.2020.3.394

    Related Papers:

  • Transmission system of the Rajasthan state, India is used to transfer power from the centralized generating stations to load centers. There is a thermal complex in the Kota region which includes four thermal power stations (TPS). These are Kawai Super Critical TPS (SCTPS), Chhabra TPS, Chhabra SCTPS, and Kalisindh TPS. Existing transmission system is not sufficient to evacuate power from this thermal complex during the contingency conditions. Hence, restructuring of the existing power network is required to mitigate the power evacuation constraints from this thermal complex. This research presents an optimized design for the restructuring of the transmission network associated with this thermal complex to mitigate power evacuation constraints. This is achieved by analysing the various possible options of the creation of various 400/220 kV GSS or 220/132 kV GSS in the region. Research also considered replacement of the existing ICTs at the thermal power stations by ICTs of higher ratings. The strength of the proposed restructured power system network is tested during various contingency conditions so that the power system network always takes care of power evacuation from the thermal complex and avoids the requirement of backing down the generation. Modified network is tested using the load flow study as well as a short circuit study. Results of these studies established that creation of 400/220 kV GSS at Sangod will be technically most feasible, effective and sufficient to mitigate the power evacuation constraints associated with the thermal complex. The study is performed using the MiPower software.


    加载中


    [1] Behrouz A, Susila M, Ali E, et al. (2014) Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist-Luenberger Index measurement. Energy Policy 68: 132-145. doi: 10.1016/j.enpol.2014.01.016
    [2] Praghnesh B, Ranjit R, Ghoshal SP (2010) Optimized multi area AGC simulation in restructured power systems. Electr Power Energy Syst 32: 311-322. doi: 10.1016/j.ijepes.2009.09.002
    [3] Chidambaram IA, Paramasivam B (2013) Optimized load-frequency simulation in restructured power system with Redox Flow Batteries and Interline Power Flow Controller. Electr Power Energy Syst 50: 9-24. doi: 10.1016/j.ijepes.2013.02.004
    [4] Rocha P, Das TK, Nanduri V, et al. (2015) Impact of CO2 cap-and-trade programs on restructured power markets with generation capacity investments. Electr Power Energy Syst 71: 195-208. doi: 10.1016/j.ijepes.2015.02.031
    [5] Baghya Shree S, Kamaraj N (2016) Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system. Electr Power Energy Syst 74: 274-285. doi: 10.1016/j.ijepes.2015.05.029
    [6] Mahela OP, Khan B, Alhelou HH, et al. (2020) Power quality assessment and event detection in distribution network with wind energy penetration using stockwell transform and fuzzy clustering. IEEE Trans Ind Inf 1-10.
    [7] Mahela OP, Gupta N, Khosravy M, et al. (2019) Comprehensive overview of low voltage ride through methods of grid integrated wind generator. IEEE Access 7: 99299-99326. doi: 10.1109/ACCESS.2019.2930413
    [8] Mahela OP, Khan B, Alhelou HH, et al. (2020) Assessment of power quality in the utility grid integrated with wind energy generation. IET Power Electron, 1-9.
    [9] Popovici V (2011) 2010 power generation sector restructuring in Romania-A critical assessment. Energy Policy 39: 1845-1856. doi: 10.1016/j.enpol.2011.01.023
    [10] Saha V, Bhattacharya RN (2019) Analysis of the welfare implications of power-sector restructuring in West Bengal, India. Utilities Policy 56: 62-71. doi: 10.1016/j.jup.2018.11.004
    [11] Chen C, Gao J, Chen J (2019) Behavioral logics of local actors enrolled in the restructuring of rural China: A case study of Haoqiao Village in northern Jiangsu. J Rural Stud, 2019.
    [12] Chen W (2019) The U.S. electricity market twenty years after restructuring: A review experience in the state of Delaware. Utilities Policy 57: 24-32, 2019.
    [13] Yousefi GR, Kaviri SM, Latify MA, et al. (2017) Electricity industry restructuring in Iran. Energy Policy 108: 212-226. doi: 10.1016/j.enpol.2017.05.018
    [14] Hooshmand R, Hemmati R, Parastegari M (2012) Combination of AC transmission expansion planning and reactive power planning in the restructured power system. Energy Convers Manage 55: 26-35. doi: 10.1016/j.enconman.2011.10.020
    [15] Sharma DK, Mahela OP, Agarwal S (2019) Design and implementation of system protection scheme for Kawai-Kalisindh-Chhabra thermal complex in Rajasthan, India. IEEE International Conference on Computing, Power and Communication Technologies (GUCON 2019), Greater Noida, India.
    [16] Lakwal SK, Mahela OP, Kumar M, et al. (2019) Optimized approach for restructuring of Rajasthan Transmission Network to cater load demand of Rajasthan refinery and petrochemical complex. IEEE International Conference on Computing, Power and Communication Technologies (GUCON 2019), Greater Noida, India.
    [17] Ola SR, Saraswat A, Goyal SK, et al. (2020) Wigner distribution function and alienation coefficient-based transmission line protection scheme. IET Gener, Trans Distrib 14: 1842-1853. doi: 10.1049/iet-gtd.2019.1414
    [18] Ram Ola S, SaraswatA, Goyal SK, et al. (2020) A protection scheme for a power system with solar energy penetration. Appl Sci 10.
    [19] Ram Ola S, Saraswat A, Goyal SK, et al. (2020) Alienation coefficient and wigner distribution function based protection scheme for hybrid power system network with renewable energy penetration. Energies 13.
    [20] Engelhardt JS, Basu SP (1996) Design, installation, and field experience with an overhead transmission dynamic line rating system. Proceedings of 1996 Transmission and Distribution Conference and Exposition, Los Angeles, CA, USA, 1996, 366-370.
    [21] Gyugyi L, Schauder CD, Williams SL, et al. (1995) The unified power flow controller: A new approach to power transmission control. IEEE Trans Power Delivery 10: 1085-1097.
    [22] Rahman M, Cecchi V, Miu K (2019) Power handling capabilities of transmission systems using a temperature-dependent power flow. Electric Power Syst Res 169: 241-249. doi: 10.1016/j.epsr.2018.12.021
    [23] Hoseinzadeh S, Ghasemiasl R, Javadi MA, et al. (2020) Performance evaluation and economic assessment of a gas power plant with solar and desalination integrated systems. Desalin Water Treat 174: 11-25.
    [24] Hoseinzadeh S, Azadi R (2017) Simulation and optimization of a solar-assisted heating and cooling system for a house in Northern of Iran. J Renewable Sustainable Energy 9: 045101. doi: 10.1063/1.5000288
    [25] Javadi MA, Hoseinzadeh S, Khalaji M, et al. (2019) Optimization and analysis of exergy, economic and environmental of a combined cycle power plant. Sādhanā 44.
    [26] Kariman H, Hoseinzadeh S, Shirkhani A, et al. (2020) Energy and economic analysis of evaporative vacuum easy desalination system with brine tank. J Therm Anal Calorim 140: 1935-1944. doi: 10.1007/s10973-019-08945-8
    [27] Hoseinzadeh S, Yargholi R, Kariman H, et al. (2020) Exergoeconomic analysis and optimization of reverse osmosis desalination integrated with geothermal energy. Environ Progress and Sustainable Energy, 13405, 2020.
    [28] Rajasthan Rajya Vidyut Utpadan Nigam Ltd., Available from: https://energy.rajasthan.gov.in/content/raj/energy-department/rvunl/en/home.html. Accessed on 28.09.2019.
    [29] Rajasthan Rajya Vidyut Prasaran Nigam Ltd., 30.09.2019, Available from: https://energy.rajasthan.gov.in/rvpnl. Accessed on 28.09.2019.
    [30] Central Electricty Regulatory Commission, Available from: http://www.cercind.gov.in/vacancy.html. Accessed on 05.12.2019.
    [31] Central Electricty Authority, Available from: http://cea.nic.in/. Accessed on 09.12.2019.
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3900) PDF downloads(323) Cited by(2)

Article outline

Figures and Tables

Figures(5)  /  Tables(10)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog