Research on Transmission Network Expansion Planning Considering Splitting Control
A robust and reliable grid is one of the core elements for power network planning. Specifically, splitting is an effective way for power grid out-of-step oscillation. Since the cross-section of system out-of-step is mostly found on the weak connection lines, reducing the number of those lines can be...
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doaj-539e15969e5248d2a218e2dc9a8bdc132020-11-25T00:36:54ZengMDPI AGSustainability2071-10502020-02-01125176910.3390/su12051769su12051769Research on Transmission Network Expansion Planning Considering Splitting ControlFei Tang0Chufei Xiao1Xin Gao2Yifan Zhang3Nianchun Du4Benxi Hu5School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaA robust and reliable grid is one of the core elements for power network planning. Specifically, splitting is an effective way for power grid out-of-step oscillation. Since the cross-section of system out-of-step is mostly found on the weak connection lines, reducing the number of those lines can be conducive to the system partition, save the finding time of the optimal splitting cross-section, and improve the performance of the splitting control. This paper proposed an enhanced method based on slow coherence theory for weak connection lines’ identification and monitoring. The ratio of the number of weak connection lines to the number of all the lines, called weak connection coefficient, is considered as a crucial factor. A bi-level programming model, which perceives the minimum connection coefficient as the optimization goal, is built for the transmission network. Additionally, a fused algorithm, consisting of Boruvka algorithm and particle swarm optimization with adaptive mutation and inertia weight, is employed to solve the proposed method in the instances of an 18-node IEEE Graver system and a practical power grid in East China. Simulation results in PSD-BPA are conducted to verify the effectiveness of the weak connection monitoring method and transmission network planning model.https://www.mdpi.com/2071-1050/12/5/1769power systempower network planningweak connectionsplitting control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fei Tang Chufei Xiao Xin Gao Yifan Zhang Nianchun Du Benxi Hu |
spellingShingle |
Fei Tang Chufei Xiao Xin Gao Yifan Zhang Nianchun Du Benxi Hu Research on Transmission Network Expansion Planning Considering Splitting Control Sustainability power system power network planning weak connection splitting control |
author_facet |
Fei Tang Chufei Xiao Xin Gao Yifan Zhang Nianchun Du Benxi Hu |
author_sort |
Fei Tang |
title |
Research on Transmission Network Expansion Planning Considering Splitting Control |
title_short |
Research on Transmission Network Expansion Planning Considering Splitting Control |
title_full |
Research on Transmission Network Expansion Planning Considering Splitting Control |
title_fullStr |
Research on Transmission Network Expansion Planning Considering Splitting Control |
title_full_unstemmed |
Research on Transmission Network Expansion Planning Considering Splitting Control |
title_sort |
research on transmission network expansion planning considering splitting control |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-02-01 |
description |
A robust and reliable grid is one of the core elements for power network planning. Specifically, splitting is an effective way for power grid out-of-step oscillation. Since the cross-section of system out-of-step is mostly found on the weak connection lines, reducing the number of those lines can be conducive to the system partition, save the finding time of the optimal splitting cross-section, and improve the performance of the splitting control. This paper proposed an enhanced method based on slow coherence theory for weak connection lines’ identification and monitoring. The ratio of the number of weak connection lines to the number of all the lines, called weak connection coefficient, is considered as a crucial factor. A bi-level programming model, which perceives the minimum connection coefficient as the optimization goal, is built for the transmission network. Additionally, a fused algorithm, consisting of Boruvka algorithm and particle swarm optimization with adaptive mutation and inertia weight, is employed to solve the proposed method in the instances of an 18-node IEEE Graver system and a practical power grid in East China. Simulation results in PSD-BPA are conducted to verify the effectiveness of the weak connection monitoring method and transmission network planning model. |
topic |
power system power network planning weak connection splitting control |
url |
https://www.mdpi.com/2071-1050/12/5/1769 |
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