Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar

In recent years, significant climate changes have pivoted the distribution system towards utilization of renewable energy, particularly through distributed generators (DGs). Although DGs offer many benefits, its integration affects the stability of the system, which could lead to blackout, when the...

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Main Author: Sohail , Sarwar
Format: Thesis
Published: 2020
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spelling my.um.stud.131932022-04-26T22:31:34Z Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar Sohail , Sarwar TK Electrical engineering. Electronics Nuclear engineering In recent years, significant climate changes have pivoted the distribution system towards utilization of renewable energy, particularly through distributed generators (DGs). Although DGs offer many benefits, its integration affects the stability of the system, which could lead to blackout, when the grid is disconnected. The system frequency will drop drastically if DG’s generation capacity is less than the total load demand in the network. In order to sustain the system stability, Under Frequency Load Shedding (UFLS) is a commonly used technique to minimize the difference in load demand and power generation. However, existing load shedding techniques are lack in accurate estimation of power imbalance. Conventional load shedding sheds random loads sequentially until the system’s frequency is recovered. Random and sequential selection of loads without priority results in excessive load shedding, which in turn causes frequency overshoot. Thus, a technique yielding an optimal solution for load shedding incorporating load priority is needed. In this regard, this work proposes an efficient load shedding technique for islanded distribution system. This technique utilizes voltage stability index to rank the unstable loads for load shedding. In the proposed technique, polynomial regression is used to establish a function of power imbalance in the form of frequency decay. Mixed Integer Linear Programming (MILP) optimization produces optimal load shedding strategy based on the priority of the loads (i.e., non-critical, semi-critical, and critical) and the load ranking from voltage stability index. The effectiveness of the proposed technique is tested on three test systems, i.e., 28 bus system, which is a part of the Malaysian distribution network, the IEEE 69 bus system, and the IEEE 137 bus system, using PSCAD/EMTDC. Results obtained prove the effectiveness of the proposed technique in stabilizing the system’s frequency without overshoot by disconnecting unstable non-critical loads on priority. Furthermore, results show that the proposed technique is superior compared to other adaptive techniques on the basis it increases sustainability by reducing the load shed amount and avoiding overshoot in system frequency. Also, its performance is not affected by increasing the number of loads for a large-scale system. 2020-11 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/13193/1/Sohail_Sarwar.jpg application/pdf http://studentsrepo.um.edu.my/13193/8/sohail.pdf Sohail , Sarwar (2020) Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar. Masters thesis, Universiti Malaya. http://studentsrepo.um.edu.my/13193/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sohail , Sarwar
Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar
description In recent years, significant climate changes have pivoted the distribution system towards utilization of renewable energy, particularly through distributed generators (DGs). Although DGs offer many benefits, its integration affects the stability of the system, which could lead to blackout, when the grid is disconnected. The system frequency will drop drastically if DG’s generation capacity is less than the total load demand in the network. In order to sustain the system stability, Under Frequency Load Shedding (UFLS) is a commonly used technique to minimize the difference in load demand and power generation. However, existing load shedding techniques are lack in accurate estimation of power imbalance. Conventional load shedding sheds random loads sequentially until the system’s frequency is recovered. Random and sequential selection of loads without priority results in excessive load shedding, which in turn causes frequency overshoot. Thus, a technique yielding an optimal solution for load shedding incorporating load priority is needed. In this regard, this work proposes an efficient load shedding technique for islanded distribution system. This technique utilizes voltage stability index to rank the unstable loads for load shedding. In the proposed technique, polynomial regression is used to establish a function of power imbalance in the form of frequency decay. Mixed Integer Linear Programming (MILP) optimization produces optimal load shedding strategy based on the priority of the loads (i.e., non-critical, semi-critical, and critical) and the load ranking from voltage stability index. The effectiveness of the proposed technique is tested on three test systems, i.e., 28 bus system, which is a part of the Malaysian distribution network, the IEEE 69 bus system, and the IEEE 137 bus system, using PSCAD/EMTDC. Results obtained prove the effectiveness of the proposed technique in stabilizing the system’s frequency without overshoot by disconnecting unstable non-critical loads on priority. Furthermore, results show that the proposed technique is superior compared to other adaptive techniques on the basis it increases sustainability by reducing the load shed amount and avoiding overshoot in system frequency. Also, its performance is not affected by increasing the number of loads for a large-scale system.
format Thesis
author Sohail , Sarwar
author_facet Sohail , Sarwar
author_sort Sohail , Sarwar
title Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar
title_short Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar
title_full Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar
title_fullStr Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar
title_full_unstemmed Under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / Sohail Sarwar
title_sort under frequency load shedding scheme for islanded distribution system based on mixed integer linear programming / sohail sarwar
publishDate 2020
url http://studentsrepo.um.edu.my/13193/1/Sohail_Sarwar.jpg
http://studentsrepo.um.edu.my/13193/8/sohail.pdf
http://studentsrepo.um.edu.my/13193/
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score 13.214268