Ahmed Tiguercha, Ahmed Amine Ladjici, and Souheil Saboune


  1. [1] M. Dridy, H. Mokhlis, and S. Mekhilef, A new under-frequencyload shedding scheme based on adaptive neuro-fuzzy inferencesystem and evolutionary programming shedding priority, Proc.IOP Conf. Series: Earth and Environmental Science, 164,2018, 012015.
  2. [2] J. Guo, F. Liu, S. Huang, L. Chen, W. Wei, and L. Ding,Towards optimal estimation of blackout probability based onsequential importance sampling simulations, Proc. IEEE PowerEnergy Society General Meeting, Chicago, IL, 2017, 1–5.
  3. [3] A. Derviˇskadi´c, Y. Zuo, G. Frigo, and M. Paolone, Underfrequency load shedding based on PMU estimates of frequencyand rocof, Proc. IEEE PES Innovative Smart Grid TechnologiesConf. Europe (ISGT-Europe), Sarajevo, 2018, 1–6.
  4. [4] P. Lakra and M. Kirar, Load sheddingtechniques for systemwith cogeneration: A review, Electrical and ElectronicsEngineering: An International Journal, 4(3), 2015, 83–96.9
  5. [5] S.S. Banijamali and T. Amraee, Semi-adaptive setting of underfrequency load shedding relays considering credible generationoutage scenarios, IEEE Transactions on Power Delivery, 34(3),2018, 1098–1108.
  6. [6] H. Seyedi and M Sanaye-Pasand, New centralised adaptiveload-shedding algorithms to mitigate power system blackouts,IET Generation, Transmission & Distribution, 3(1), 2008,99–114.
  7. [7] F. Shokooh, J.J Dai, S. Shokooh, J. Taster, H. Castro,T. Khandelwal, and G. Donner, An intelligent load shedding(ILS) system application in a large industrial facility,Proc. 14th IAS Annual Meeting. Conf. Record of the2005 Industry Applications Conf., 1, Hong Kong, 2005,417–425.
  8. [8] C. Li, Y. Wu, Y. Sun, H. Zhang, Y. Liu, Y. Liu, and V. Terzija,Continuous under-frequency load shedding scheme for powersystem adaptive frequency control, IEEE Transactions onPower Systems, 35(2), 2020, 950–961.
  9. [9] H.B.A. Ouadi, N. Ghout, F. Maamri, and N.E. Mastorakis, Anew approach applied to adaptive centralized load sheddingscheme, Proc. 8th WSEAS Int. Conf. on Circuits, Systems,Electronics, Control & Signal Processing, 2009, 28–33.
  10. [10] H.H. Alhelou, M.E. Hamedani-Golshan, T.C. Njenda, andP. Siano, Wide-area measurement system-based optimal multi-stage under-frequency load-shedding in interconnected smartpower systems using evolutionary computing techniques,Applied Sciences, 9(3), 2019, 508.
  11. [11] D. Jianfeng, Z. Shuangxi, and L. Zongxiang, A new risk indicesbased under voltage load shedding scheme, Proc. IEEE/PESTransmission Distribution Conf. Exposition: Asia and Pacific,Dalian, 2005, 1–5.
  12. [12] J. Yan, C. Li, and Y. Liu, Adaptive load shedding methodbased on power imbalance estimated by ANN, Proc. TENCONIEEE Region 10 Conf., Penang, 2017, 2996–2999.
  13. [13] A. Elzawawy, M. Ali, F. Bendary, and W. Mansour, Adaptiveunder frequency load shedding scheme using genetic algorithmbased artificial neural network, International Journal ofComputers, 4, 2019, 38–44.
  14. [14] Q.H. Anh, P.T. Tan, and N.T. An, A hybrid artificial neuralnetwork-genetic algorithm for load shedding, InternationalJournal of Electrical and Computer Engineering, 10(3), 2020,2250.
  15. [15] N.M. Sapari, H. Mokhlis, J.A. Laghari, A.H.A. Bakar, andM.R.M. Dahalan, Application of load shedding schemes fordistribution network connected with distributed generation: Areview, Renewable and Sustainable Energy Reviews, 82, 2018,858–867.
  16. [16] H. Nemouchi, A. Tiguercha, and A A. Ladjici, An adaptivedecentralized under voltage load shedding in distributionnetworks, International Transactions on Electrical EnergySystems, 30(11), 2020, e12592.
  17. [17] M.H. Fazaeli, M.M. Keramat, H. Alipour, and N.K.Javinani, New adaptive decentralize under frequency load-shedding algorithm, Proc. 15th Int. Conf. on Protectionand Automation of Power Systems (IPAPS), Shiraz, 2020,104–107.
  18. [18] H. Awad and A. Hafez, Optimal operation of under-frequencyload shedding relays by hybrid optimization of particle swarmand bacterial foraging algorithms, Alexandria EngineeringJournal, 61(1), 2022, 763–774.
  19. [19] S.M.S. Kalajahi, H. Seyedi, and K. Zare, Under-frequencyload shedding in isolated multi-microgrids, Sustainable Energy,Grids and Networks, 27, 2021, 100494.
  20. [20] A.Q. Santos, R.M. Monaro, D.V. Coury, and M. Oleskovicz,A new real-time multi-agent system for under frequency loadshedding in a smart grid context, Electric Power SystemsResearch, 174, 2019, 105851.
  21. [21] S. Saboune, A.A. Ladjici, and A. Tiguercha, Adaptivedecentralized fuzzy logic-based underfrequency load sheddingto enhance power system stability, International Transactionson Electrical Energy Systems, 31(11), 2021, e13087.
  22. [22] H.H. Alhelou, M.E.H. Golshan, T.C. Njenda, and N.D.Hatziargyriou, An overview of UFLS in conventional, modern,and future smart power systems: Challenges and opportunities,Electric Power Systems Research, 179, 2020, 106054.
  23. [23] A. Tiguercha, A.A. Ladjici, and M. Boudour, Deregulated elec-tricity market calculation based on neuroevolution algorithm,International Journal of Power and Energy Systems, 38(1),2018, 1–22.

Important Links:

Go Back