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Original scientific paper

Optimal Load Shedding Using an Ensemble of Artificial Neural Networks

Muhammad FaizanTahir ; The University of Lahore, Faculty of Electrical Engineering, Department of Engineering

Fulltext: english, pdf (927 KB) pages 39-46 downloads: 585* cite
APA 6th Edition
FaizanTahir, M. (2016). Optimal Load Shedding Using an Ensemble of Artificial Neural Networks. International journal of electrical and computer engineering systems, 7. (2.), 39-46. Retrieved from https://hrcak.srce.hr/172789
MLA 8th Edition
FaizanTahir, Muhammad. "Optimal Load Shedding Using an Ensemble of Artificial Neural Networks." International journal of electrical and computer engineering systems, vol. 7., no. 2., 2016, pp. 39-46. https://hrcak.srce.hr/172789. Accessed 16 Sep. 2021.
Chicago 17th Edition
FaizanTahir, Muhammad. "Optimal Load Shedding Using an Ensemble of Artificial Neural Networks." International journal of electrical and computer engineering systems 7., no. 2. (2016): 39-46. https://hrcak.srce.hr/172789
Harvard
FaizanTahir, M. (2016). 'Optimal Load Shedding Using an Ensemble of Artificial Neural Networks', International journal of electrical and computer engineering systems, 7.(2.), pp. 39-46. Available at: https://hrcak.srce.hr/172789 (Accessed 16 September 2021)
Vancouver
FaizanTahir M. Optimal Load Shedding Using an Ensemble of Artificial Neural Networks. International journal of electrical and computer engineering systems [Internet]. 2016 [cited 2021 September 16];7.(2.):39-46. Available from: https://hrcak.srce.hr/172789
IEEE
M. FaizanTahir, "Optimal Load Shedding Using an Ensemble of Artificial Neural Networks", International journal of electrical and computer engineering systems, vol.7., no. 2., pp. 39-46, 2016. [Online]. Available: https://hrcak.srce.hr/172789. [Accessed: 16 September 2021]

Abstracts
Optimal load shedding is a very critical issue in power systems. It plays a vital role, especially in third world countries. A sudden increase in load can affect the important parameters of the power system like voltage, frequency and phase angle. This paper presents a case study of Pakistan’s power system, where the generated power, the load demand, frequency deviation and load shedding during a 24-hour period have been provided. An artificial neural network ensemble is aimed for optimal load shedding. The objective of this paper is to maintain power system frequency stability by shedding an accurate amount of load. Due to its fast convergence and improved generalization ability, the proposed algorithm helps to deal with load shedding in an efficient manner.

Keywords
ensemble of artificial neural network; load shedding; power system stability

Hrčak ID: 172789

URI
https://hrcak.srce.hr/172789

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