Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks
Transmission congestions are caused by electricity trading between generators and distribution companies in a deregulated environment. Power system operation and security in liberalized scenarios are maintained by removing branch overloads. A flexible alternating current transmission system (FACTS)...
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2024-03-01
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author | Vengadesan Alagapuri Ashok Bakkiyaraj Radhakrishnan S. Sakthivel Padaiyatchi |
author_facet | Vengadesan Alagapuri Ashok Bakkiyaraj Radhakrishnan S. Sakthivel Padaiyatchi |
author_sort | Vengadesan Alagapuri |
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description | Transmission congestions are caused by electricity trading between generators and distribution companies in a deregulated environment. Power system operation and security in liberalized scenarios are maintained by removing branch overloads. A flexible alternating current transmission system (FACTS) controller is installed in a suitable location to redistribute the power flow among the transmission lines so that the power flows are brought within the capacity of the lines. In this work, series-connected thyristor-controlled switched compensators (TCSCs) and shunt-connected Volt-Ampere reactive (VAR) static compensators (SVCs) are installed in appropriate locations to alter the power flow patterns and to remove overloads. It is proposed to reduce the overload of transmission lines by locating series and shunt connected FACTS devices at proper locations. The size and location of TCSC and SVC devices greatly affect their ability to meet a congestion management goal. An optimization process optimizes the location and size of these devices to maximize the congestion mitigation benefits of the TCSC and SVC controllers. In this work, the whale optimization algorithm (WOA) is used to optimize the value of the objective function by appropriately choosing the location and size of the FACTS controllers. This algorithm has a few parameters that are tuned to give the best overall results. A WOA-based method is proposed to optimize the size and location of the FACTS devices and is implemented on the IEEE-30 bus test case. The results were compared and found to be improved with those of other algorithms such as the particle swarm optimization algorithm (PSO) and the firefly algorithm (FFA). |
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institution | Kabale University |
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language | English |
publishDate | 2024-03-01 |
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spelling | doaj-art-34314bc6bc074d96a16cc21f7eb16ded2025-01-24T01:10:27ZengAIMS PressAIMS Electronics and Electrical Engineering2578-15882024-03-018216518610.3934/electreng.2024007Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networksVengadesan Alagapuri0Ashok Bakkiyaraj Radhakrishnan1S. Sakthivel Padaiyatchi2Department of Electrical Engineering, Annamalai University, Chidambaram, IndiaDepartment of Electrical Engineering, Annamalai University, Chidambaram, IndiaDepartment of Electrical and Electronics Engineering, Nehru Institute of Engineering and Technology, Coimbatore, IndiaTransmission congestions are caused by electricity trading between generators and distribution companies in a deregulated environment. Power system operation and security in liberalized scenarios are maintained by removing branch overloads. A flexible alternating current transmission system (FACTS) controller is installed in a suitable location to redistribute the power flow among the transmission lines so that the power flows are brought within the capacity of the lines. In this work, series-connected thyristor-controlled switched compensators (TCSCs) and shunt-connected Volt-Ampere reactive (VAR) static compensators (SVCs) are installed in appropriate locations to alter the power flow patterns and to remove overloads. It is proposed to reduce the overload of transmission lines by locating series and shunt connected FACTS devices at proper locations. The size and location of TCSC and SVC devices greatly affect their ability to meet a congestion management goal. An optimization process optimizes the location and size of these devices to maximize the congestion mitigation benefits of the TCSC and SVC controllers. In this work, the whale optimization algorithm (WOA) is used to optimize the value of the objective function by appropriately choosing the location and size of the FACTS controllers. This algorithm has a few parameters that are tuned to give the best overall results. A WOA-based method is proposed to optimize the size and location of the FACTS devices and is implemented on the IEEE-30 bus test case. The results were compared and found to be improved with those of other algorithms such as the particle swarm optimization algorithm (PSO) and the firefly algorithm (FFA).https://www.aimspress.com/article/doi/10.3934/electreng.2024007congestion managementwhale optimization algorithmfactstcscsvc |
spellingShingle | Vengadesan Alagapuri Ashok Bakkiyaraj Radhakrishnan S. Sakthivel Padaiyatchi Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks AIMS Electronics and Electrical Engineering congestion management whale optimization algorithm facts tcsc svc |
title | Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks |
title_full | Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks |
title_fullStr | Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks |
title_full_unstemmed | Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks |
title_short | Optimization of position and rating of shunt and series connected FACTS devices for transmission congestion management in deregulated power networks |
title_sort | optimization of position and rating of shunt and series connected facts devices for transmission congestion management in deregulated power networks |
topic | congestion management whale optimization algorithm facts tcsc svc |
url | https://www.aimspress.com/article/doi/10.3934/electreng.2024007 |
work_keys_str_mv | AT vengadesanalagapuri optimizationofpositionandratingofshuntandseriesconnectedfactsdevicesfortransmissioncongestionmanagementinderegulatedpowernetworks AT ashokbakkiyarajradhakrishnan optimizationofpositionandratingofshuntandseriesconnectedfactsdevicesfortransmissioncongestionmanagementinderegulatedpowernetworks AT ssakthivelpadaiyatchi optimizationofpositionandratingofshuntandseriesconnectedfactsdevicesfortransmissioncongestionmanagementinderegulatedpowernetworks |