Load shedding is generally regarded as the final option to evade voltage collapse and blackout following major overloads. The traditional method of load shedding curtails random loads regardless of their importance until the system’s voltage is improved. Shedding random loads without considering their priority will lead to power interruption in vital infrastructures. Hence, to improve the existing power system protection scheme, development of a more effective and efficient load shedding method is necessary. In this paper, an optimal under voltage load shedding (UVLS) method is proposed for optimum prediction of amount of load shed and the best location for load curtailment. Moreover, the proposed method is designed to maintain the vital loads in the system during the load shedding process. In this work, the stability index (SI) and feed-forward backpropagation neural network (FFBPNN) were adopted to avoid voltage collapse and blackout by mitigating voltage instability following overloads in distribution system. The performance of the proposed method to several overload scenarios is investigated. Case studies performed on the IEEE 33-bus system exposed significant robustness and performance of the recommended technique. Compared to other approaches, the proposed approach is efficient in counteracting under-shedding occurrence, enhancing the voltage profile, and improving the stability of the system, whilst maintaining vital loads in the system during load shedding.
Sundarajoo, S., and Soomro, D. M. “Under voltage load shedding and penetration of renewable energy sources in distribution systems: a review.” International Journal of Modelling and Simulation, (2022), 1-19. https://doi.org/10.1080/02286203.2022.2143191
Nemouchi, H., Tiguercha, A., and Ladjici, A. A. “An adaptive decentralized under voltage load shedding in distribution networks.” International Transactions on Electrical Energy Systems, Vol. 30, No. 11, (2020), e12592. https://doi.org/10.1002/2050-7038.12592
Maresch, K., Marchesan, G., Junior, G. C., and Borges, A. “An underfrequency load shedding scheme for high dependability and security tolerant to induction motors dynamics.” Electric Power Systems Research, Vol. 196, (2021), 107217. https://doi.org/10.1016/j.epsr.2021.107217
Khamis, A., Khatib, T., Aishah, N. M., and Ridzuan, R. “A novel research clustering scheme using bibliometric analysis : A case study of global trend in electrical power system load shedding.” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, (2021). https://doi.org/10.1007/s40998-021-00430-z
Dreidy, M., Mokhlis, H., and Mekhilef, S. “Application of meta-heuristic techniques for optimal load shedding in islanded distribution network with high penetration of solar PV Generation.” Energies, Vol. 10, No. 2, (2017), 150. https://doi.org/10.3390/en10020150
Singh, P., Arya, R., Titare, L. S., and Arya, L. D. “Optimal load shedding to avoid risks of voltage collapse using black hole algorithm.” Journal of The Institution of Engineers (India): Series B, Vol. 102, (2021), 261-276. https://doi.org/10.1007/s40031-021-00543-3
Sayed, F., Kamel, S., Yu, J., and Jurado, F. “Optimal load shedding of power system including optimal TCSC allocation using moth swarm algorithm.” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Vol. 44, (2020), 741-765. https://doi.org/10.1007/s40998-019-00255-x
Sayed, F., Kamel, S., Taher, M. A., and Jurado, F. “Enhancing power system loadability and optimal load shedding based on TCSC allocation using improved moth flame optimization algorithm.” Electrical Engineering, Vol. 103, (2021), 205-225. https://doi.org/10.1007/s00202-020-01072-w
Modarresi, J., Gholipour, E., and Khodabakhshian, A. “New adaptive and centralised under-voltage load shedding to prevent short-term voltage instability.” IET Generation, Transmission & Distribution, Vol. 12, No. 11, (2018), 2530-2538. https://doi.org/10.1049/iet-gtd.2017.0783
Larik, R. M., Mustafa, M. W., Aman, M. N., Jumani, T. A., Sajid, S., and Panjwani, M. K. “An improved algorithm for optimal load shedding in power systems.” Energies, Vol. 11, No. 7, (2018), 1808. https://doi.org/10.3390/en11071808
Cruz, L. M., Alvarez, D. L., Al-Sumaiti, A. S., and Rivera, S. “Load curtailment optimization using the PSO algorithm for enhancing the reliability of distribution networks.” Energies, Vol. 13, No. 12, (2020), 3236. https://doi.org/10.3390/en13123236
Javadi, M., and Amraee, T. “Mixed integer linear formulation for undervoltage load shedding to provide voltage stability.” IET Generation, Transmission & Distribution, Vol. 12, No. 9, (2018), 2095–2104. https://doi.org/10.1049/iet-gtd.2017.1118
Tian, A., and Mou, X. “A network analysis-based distributed load shedding strategy for voltage collapse prevention.” IEEE Access, Vol. 7, (2019), 161375-161384.
Sarwar, S., Mokhlis, H., Othman, M., Muhammad, M. A., Laghari, J. A., Mansor, N. N., Mohamad, H., and Pourdaryaei, A. “A mixed integer linear programming based load shedding technique for improving the sustainability of islanded distribution systems.” Sustainability (Switzerland), Vol. 12, No. 15, (2020). https://doi.org/10.3390/SU12156234
Mansouri, H. R., Mozafari, B., Soleymani, S., and Mohammadnezhad, H. “A new optimal distributed strategy to mitigate the phase imbalance in smart grids.” International Journal of Engineering, Transactions C: Aspects, Vol. 33, No. 12, (2020), 2489-2495. https://doi.org/10.5829/ije.2020.33.12c.08
Murty, V. V. S. N., and Kumar, A. “Voltage regulation and loss minimization in reconfigured distribution systems with capacitors and OLTC in the presence of PV penetration.” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Vol. 3, , (2020). https://doi.org/10.1007/s40998-020-00389-3
Zare, H., Khanalizadeh Eini, M., and Esmaeili, A. “Stabilization of voltage and current in the distribution networks using APF and TSC.” International Journal of Engineering, Transactions B: Applications, Vol. 35, No. 5, (2022), 1064-1073. https://doi.org/10.5829/IJE.2022.35.05B.21
Danish, M. S. S., Senjyu, T., Danish, S. M. S., Sabory, N. R., Narayanan, K., and Mandal, P. “A recap of voltage stability indices in the past three decades.” Energies, Vol. 12, No. 8, (2019), 1544. https://doi.org/10.3390/en12081544
Al-Ani, B. R. K., and Erkan, E. T. “A study of load demand forecasting models in electricity using artificial neural networks and fuzzy logic model.” International Journal of Engineering, Transactions C: Aspects, Vol. 35, No. 6, (2022), 1111-1118. https://doi.org/10.5829/ije.2022.35.06c.02
Qiao, J., Wang, L., Yang, C., and Gu, K. “Adaptive levenberg-marquardt algorithm based echo state network for chaotic time series prediction.” IEEE Access, Vol. 6, (2018), 10720-10732. https://doi.org/10.1109/ACCESS.2018.2810190
Baran, M. E., and Wu, F. F. “Network reconfiguration in distribution systems for loss reduction and load balancing.” IEEE Power Engineering Review, Vol. 9, No. 4, (1989), 101-102. https://doi.org/10.1109/MPER.1989.4310642
Montoya, O. D., Gil-González, W., and Grisales-Noreña, L. F. “An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach.” Ain Shams Engineering Journal, Vol. 11, No. 2, (2020), 409-418. https://doi.org/10.1016/j.asej.2019.08.011
Sundarajoo, S., & Soomro, D. M. (2023). Optimal Load Shedding for Voltage Collapse Prevention Following Overloads in Distribution System. International Journal of Engineering, 36(7), 1230-1238. doi: 10.5829/ije.2023.36.07a.04
MLA
S. Sundarajoo; D. M. Soomro. "Optimal Load Shedding for Voltage Collapse Prevention Following Overloads in Distribution System". International Journal of Engineering, 36, 7, 2023, 1230-1238. doi: 10.5829/ije.2023.36.07a.04
HARVARD
Sundarajoo, S., Soomro, D. M. (2023). 'Optimal Load Shedding for Voltage Collapse Prevention Following Overloads in Distribution System', International Journal of Engineering, 36(7), pp. 1230-1238. doi: 10.5829/ije.2023.36.07a.04
VANCOUVER
Sundarajoo, S., Soomro, D. M. Optimal Load Shedding for Voltage Collapse Prevention Following Overloads in Distribution System. International Journal of Engineering, 2023; 36(7): 1230-1238. doi: 10.5829/ije.2023.36.07a.04