Abstract
Conventional methods of system load shedding are too slow and do not effectively calculate the correct amount of load to be shed. This results in either excessive or insufficient load reduction. In recent years, load shedding systems have been repackaged using conventional underfrequency relay and/or breaker interlocks schemes integrated with Programmable Logic Controllers to give a new look to an antiquated load preservation methodology. A truly modern and intelligent load shedding system with a computerized power management system should provide fast and optimal load management by utilizing system topology and actual operating conditions tempered with knowledge of past system disturbances. This thesis demonstrates the need for a modern load shedding scheme and introduces the new technology of intelligent load shedding. Comparisons of intelligent load shedding with conventional load shedding methods are made from perspectives of system design, system engineering, project implementation, and system operation. A case study of the application of an intelligent load shedding scheme is Sudan Power Network is provided by using ETAP program and the results of simulation have showed.
Mohammed, K (2021). An Intelligent Load Shedding System Application In Sudan National Grid. Afribary. Retrieved from https://track.afribary.com/works/an-intelligent-load-shedding-system-application-in-sudan-national-grid
Mohammed, Khalid "An Intelligent Load Shedding System Application In Sudan National Grid" Afribary. Afribary, 20 May. 2021, https://track.afribary.com/works/an-intelligent-load-shedding-system-application-in-sudan-national-grid. Accessed 20 Nov. 2024.
Mohammed, Khalid . "An Intelligent Load Shedding System Application In Sudan National Grid". Afribary, Afribary, 20 May. 2021. Web. 20 Nov. 2024. < https://track.afribary.com/works/an-intelligent-load-shedding-system-application-in-sudan-national-grid >.
Mohammed, Khalid . "An Intelligent Load Shedding System Application In Sudan National Grid" Afribary (2021). Accessed November 20, 2024. https://track.afribary.com/works/an-intelligent-load-shedding-system-application-in-sudan-national-grid