Details

Title

Design and analysis of the performance of multi-source interconnected electrical power system using resilience random variance reduction technique

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2021

Volume

69

Issue

5

Authors

Affiliation

Prakash Ayyappan, B. : Department of Electrical and Electronics Engineering, V.S.B Engineering College, Karur and Research Scholar (Electrical), Anna University, Chennai, Tamilnadu, India ; Kanimozhi, R. : Department of Electrical and Electronics Engineering, University College of Engineering, Anna University-BIT Campus, Tiruchirapalli, Tamilnadu, India

Keywords

multi-source and single-area interconnected power system ; LFC ; resilience random variance reduction technique

Divisions of PAS

Nauki Techniczne

Coverage

e137941

Bibliography

  1.  E. Sahin, “Design of an Optimized Fractional High Order Differential Feedback Controller for Load Frequency Control of a Multi-Area Multi-Source Power System With Nonlinearity,” IEEE Access, vol. 8, pp. 12327‒12342, 2020, doi: 10.1109/ACCESS.2020.2966261.
  2.  B. Zhao et al., “Energy Management of Multiple Microgrids Based on a System of Systems Architecture,” in IEEE Trans. Power Syst., vol. 33, no. 6, pp. 6410‒6421, Nov. 2018, doi: 10.1109/TPWRS.2018.2840055.
  3.  M. Nilsson, L.H. Söder, and G.N. Ericsson, “Balancing Strategies Evaluation Framework Using Available Multi-Area Data,” in IEEE Trans. Power Syst., vol. 33, no. 2, pp. 1289‒1298, March 2018, doi: 10.1109/TPWRS.2017.2736604.
  4.  E. Tómasson and L. Söder, “Generation Adequacy Analysis of Multi-Area Power Systems With a High Share of Wind Power,” in IEEE Trans. Power Syst., vol. 33, no. 4, pp. 3854‒3862, July 2018, doi: 10.1109/TPWRS.2017.2769840.
  5.  B. Pan, W. Cong, M. Sun, J. Yu, and M. Zheng, “Fault location determination method for relay protection communication system based on power grid operation and maintenance multi-source data,” 2019 IEEE Sustainable Power and Energy Conference (iSPEC), Beijing, China, 2019, pp. 2351‒2356, doi: 10.1109/iSPEC48194.2019.8975178.
  6.  G. Liu, M. Vrakopoulou and P. Mancarella, “Assessment of the capacity credit of renewables and storage in multi-area power systems,” IEEE Trans. Power Syst., doi: 10.1109/TPWRS.2020.3034248.
  7.  R. Patel et al., “Enhancing Optimal Automatic Generation Control in a Multi-Area Power System With Diverse Energy Resources,” IEEE Trans. Power Syst., vol. 34, no. 5, pp. 3465‒3475, Sept. 2019, doi: 10.1109/TPWRS.2019.2907614.
  8.  H. Chen et al., “Key Technologies for Integration of Multitype Renewable Energy Sources – Research on Multi-Timeframe Robust Scheduling/Dispatch,” IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 471‒480, Jan. 2016, doi: 10.1109/TSG.2015.2388756.
  9.  T.K. Mohapatra and B.K. Sahu, “Design and implementation of SSA based fractional order PID controller for automatic generation control of a multi-area, multi-source interconnected power system,” 2018 Technologies for Smart-City Energy Security and Power (ICSESP), Bhubaneswar, 2018, pp. 1‒6, doi: 10.1109/ICSESP.2018.8376697.
  10.  C. Wang, K. Jia, B. Liu, and J. Zhang, “Coordination Control and Protection for Photovoltaic DC Distribution System,” 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES), Bangkok, Thailand, 2020, pp. 526‒530, doi: 10.1109/ SPIES48661.2020.9243132.
  11.  H. Zhang, B. Zhang, A. Bose, and H. Sun, “A Distributed Multi-Control-Center Dynamic Power Flow Algorithm Based on Asynchronous Iteration Scheme,” IEEE Trans. Power Syst., vol. 33, no. 2, pp. 1716‒1724, March 2018, doi: 10.1109/TPWRS.2017.2721405.
  12.  A. Khoaei, M. Shahidehpour, L. Wu, and Z. Li, “Coordination of Short-Term Operation Constraints in Multi-Area Expansion Planning,” IEEE Trans. Power Syst., vol. 27, no. 4, pp. 2242‒2250, Nov. 2012, doi: 10.1109/TPWRS.2012.2192507.
  13.  D. Xu, J. Liu, X. Yan, and W. Yan, “A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage,” IEEE Trans. Ind. Electron., vol. 65, no. 8, pp. 6625‒6634, Aug. 2018, doi: 10.1109/TIE.2017.2767544.
  14.  A. Nassaj and S.M. Shahrtash, “An Accelerated Preventive Agent-Based Scheme for Postdisturbance Voltage Control and Loss Reduction,” IEEE Trans. Power Syst., vol. 33, no. 4, pp. 4508‒4518, July 2018, doi: 10.1109/TPWRS.2017.2778098.
  15.  Y. Zhang, X. Liu,, and B. Qu, “Distributed model predictive load frequency control of multi-area power system with DFIGs,” IEEE/CAA J. Autom. Sin., vol. 4, no. 1, pp. 125‒135, Jan. 2017, doi: 10.1109/JAS.2017.7510346.
  16.  G. Tang, Z. Xu, H. Dong and Q. Xu, “Sliding Mode Robust Control Based Active-Power Modulation of Multi-Terminal HVDC Transmissions,” IEEE Trans. Power Syst., vol. 31, no. 2, pp. 1614‒1623, March 2016, doi: 10.1109/TPWRS.2015.2429690.
  17.  C. Zhong, J. Zhang, and Y. Zhou, “Adaptive Virtual Capacitor Control for MTDC System With Deloaded Wind Power Plants,” IEEE Access, vol. 8, pp. 190582‒190595, 2020, doi: 10.1109/ACCESS.2020.3032284.
  18.  M. Kahl, C. Freye, and T. Leibfried, “A Cooperative Multi-Area Optimization With Renewable Generation and Storage Devices,” IEEE Trans. Power Syst., vol. 30, no. 5, pp. 2386‒2395, Sept. 2015, doi: 10.1109/TPWRS.2014.2363762.
  19.  J. Zhao et al., “A Multi-Source Coordinated Optimal Operation Model Considering the Risk of Nuclear Power Peak Shaving and Wind Power Consumption,” IEEE Access, vol. 8, pp.  189702‒189719, 2020, doi: 10.1109/ACCESS.2020.3027705.
  20.  W. Wang, L. Jiang, Y. Cao, and Y. Li, “A Parameter Alternating VSG Controller of VSC-MTDC Systems for Low-Frequency Oscillation Damping,” IEEE Trans. Power Syst., vol. 35, no. 6, pp. 4609‒4621, Nov. 2020, doi: 10.1109/TPWRS.2020.2997859.
  21.  T. Yang, S. Bozhko, J. Le-Peuvedic, G. Asher, and C.I. Hill, “Dynamic Phasor Modeling of Multi-Generator Variable Frequency Electrical Power Systems,” IEEE Trans. Power Syst., vol. 31, no. 1, pp.  563‒571, Jan. 2016, doi: 10.1109/TPWRS.2015.2399371.
  22.  P.M. Dash, S.K. Mohapatra, and A.K. Baliarsingh, “Tuning of LFC in Multi-source Electrical Power Systems Implementing Novel Nature- Inspired MFO Algorithm Based Controller Parameter,” 2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE), Keonjhar, Odisha, India, 2020, pp. 1‒5, doi: 10.1109/CISPSSE49931.2020.9212199.
  23.  F. Qi, M. Shahidehpour, F. Wen, Z. Li, Y. He, and M. Yan, “Decentralized Privacy-Preserving Operation of Multi-Area Integrated Electricity and Natural Gas Systems With Renewable Energy Resources,” IEEE Trans. Sustainable Energy, vol. 11, no. 3, pp. 1785‒1796, July 2020, doi: 10.1109/TSTE.2019.2940624.
  24.  X.S. Zhang, T. Yu, Z.N. Pan, B. Yang, and T. Bao, “Lifelong Learning for Complementary Generation Control of Interconnected Power Grids With High-Penetration Renewables and EVs,” IEEE Trans. Power Syst., vol. 33, no. 4, pp. 4097‒4110, July 2018, doi: 10.1109/ TPWRS.2017.2767318.
  25.  A. Khanjanzadeh, S. Soleymani, and B. Mozafari, “A decentralized control strategy to bring back frequency and share reactive power in isolated microgrids with virtual power plant,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, No. 1, pp. 1‒9, 2021, doi: 10.24425/ bpasts.2021.136190.
  26.  M. Parol and M. Polecki, “The performance of passive methods of detecting island operation implemented in PV inverters during selected disturbances in distribution power grids,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 68, no. 5, pp. 1087‒1098, 2020. doi: 10.24425/ bpasts.2020.134658.
  27.  A. Bobori, S. Paszek, A. Nocori, and P. Pruski, “Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithm,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 65, no. 4, pp. 479‒488, 2017, doi: 10.1515/ bpasts-2017-0053.
  28.  G. Benysek, “Improvement in the efficiency of the distributed power systems,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 57, no. 4, pp. 369‒374, 2009, doi: 10.2478/v10175-010-0140-1.
  29.  H. Rezk, M.A. Mohamed, A.A. Zaki Diab, and N. Kanagaraj, “Load Frequency control of Multi-interconnected Renewable Energy Plants using Multi-Verse Optimizer,” Comput. Syst. Sci. Eng., vol. 37, no. 2, pp. 219‒231, 2021, doi: 10.32604/csse.2021.015543.
  30.  H. Sun, C. Peng, D. Yue, Y.L. Wang, and T. Zhang, “Resilient Load Frequency Control of Cyber-Physical Power Systems Under QoS- Dependent Event-Triggered Communication,” IEEE Trans. Syst. Man Cybern.: Syst., vol. 51, no. 4, pp. 2113‒2122, doi: 10.1109/ TSMC.2020.2979992.
  31.  E. Canelas, T. Pinto-Varela, and B. Sawik, “Electricity Portfolio Optimization for Large Consumers: Iberian Electricity Market Case Study,” Energies, vol. 13, no. 9, p. 2249, 2020, doi: 10.3390/en13092249.

Date

18.07.2021

Type

Article

Identifier

DOI: 10.24425/bpasts.2021.137941
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