Optimal location of FACTS devices with EVCS in power system network using PSO
The appeal of Electric Vehicles (EVs) is steadily growing, driven by the numerous advantages they offer to both owners and the environment. However, this surge in EV adoption places an increasing demand on the power system network for electric charging. The consequential strain on the power system m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671124000640 |
| _version_ | 1797256271500410880 |
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| author | Kirti Pal Kanika Verma Rupika Gandotra |
| author_facet | Kirti Pal Kanika Verma Rupika Gandotra |
| author_sort | Kirti Pal |
| collection | DOAJ |
| description | The appeal of Electric Vehicles (EVs) is steadily growing, driven by the numerous advantages they offer to both owners and the environment. However, this surge in EV adoption places an increasing demand on the power system network for electric charging. The consequential strain on the power system may lead to instability and potential contingencies within the network. To mitigate these challenges, this paper recommends the installation of Flexible AC Transmission System (FACTS) devices. Specifically, two types of FACTS devices, Static Var Compensator (SVC) and Thyristor-Controlled Series Capacitor (TCSC), are employed to enhance the stability and loading conditions of the power system network. The study focuses on an IEEE 39 bus system network chosen for the installation of Electric Vehicle Charging Stations (EVCS). The objective is to assess the maximum loading factor of each bus within the network. This paper introduces a methodology for determining the optimal locations for both EVCS and FACTS devices. Notably, a Particle Swarm Optimization (PSO) algorithm is employed to optimize the size of FACTS devices and associated installation costs, ensuring an efficient and cost-effective enhancement to the power system's stability and loading conditions. |
| first_indexed | 2024-03-07T21:52:16Z |
| format | Article |
| id | doaj.art-52b18b0d9e1b4c30aef1e1d3bd1e248f |
| institution | Directory Open Access Journal |
| issn | 2772-6711 |
| language | English |
| last_indexed | 2024-04-24T22:19:06Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj.art-52b18b0d9e1b4c30aef1e1d3bd1e248f2024-03-20T06:12:02ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112024-03-017100482Optimal location of FACTS devices with EVCS in power system network using PSOKirti Pal0Kanika Verma1Rupika Gandotra2Corresponding author.; Electrical Engineering Department, Gautam Buddha University, UP, IndiaElectrical Engineering Department, Gautam Buddha University, UP, IndiaElectrical Engineering Department, Gautam Buddha University, UP, IndiaThe appeal of Electric Vehicles (EVs) is steadily growing, driven by the numerous advantages they offer to both owners and the environment. However, this surge in EV adoption places an increasing demand on the power system network for electric charging. The consequential strain on the power system may lead to instability and potential contingencies within the network. To mitigate these challenges, this paper recommends the installation of Flexible AC Transmission System (FACTS) devices. Specifically, two types of FACTS devices, Static Var Compensator (SVC) and Thyristor-Controlled Series Capacitor (TCSC), are employed to enhance the stability and loading conditions of the power system network. The study focuses on an IEEE 39 bus system network chosen for the installation of Electric Vehicle Charging Stations (EVCS). The objective is to assess the maximum loading factor of each bus within the network. This paper introduces a methodology for determining the optimal locations for both EVCS and FACTS devices. Notably, a Particle Swarm Optimization (PSO) algorithm is employed to optimize the size of FACTS devices and associated installation costs, ensuring an efficient and cost-effective enhancement to the power system's stability and loading conditions.http://www.sciencedirect.com/science/article/pii/S2772671124000640Electric vehicle charging stationThyristor controlled series compensatorStatic VAR compensatorLoading factorParticle swarm optimization |
| spellingShingle | Kirti Pal Kanika Verma Rupika Gandotra Optimal location of FACTS devices with EVCS in power system network using PSO e-Prime: Advances in Electrical Engineering, Electronics and Energy Electric vehicle charging station Thyristor controlled series compensator Static VAR compensator Loading factor Particle swarm optimization |
| title | Optimal location of FACTS devices with EVCS in power system network using PSO |
| title_full | Optimal location of FACTS devices with EVCS in power system network using PSO |
| title_fullStr | Optimal location of FACTS devices with EVCS in power system network using PSO |
| title_full_unstemmed | Optimal location of FACTS devices with EVCS in power system network using PSO |
| title_short | Optimal location of FACTS devices with EVCS in power system network using PSO |
| title_sort | optimal location of facts devices with evcs in power system network using pso |
| topic | Electric vehicle charging station Thyristor controlled series compensator Static VAR compensator Loading factor Particle swarm optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2772671124000640 |
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