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ATC Enhancement in Power Systems by TCSC and SVC Equipment Using Invasive Weed Optimization Method
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Ali Kouchpideh1   , Mohammad Tabrizian *2 , Hamidreza Shahmirzad3 |
1- Electrical Engineering, Greater Tehran Electric Power Distribution Company, Tehran, Iran
2- Department of Electrical Engineering-Yadegar-e-Imam Khomeini(Rah) Shahre-Rey Branch, Islamic Azad University, Tehran, Iran , mm_tabrizian@yahoo.com
3- Department of Electrical Engineering-Yadegar-e-Imam Khomeini(Rah) Shahre-Rey Branch, Islamic Azad University, Tehran, Iran |
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Abstract: (326 Views) |
Electricity transmission lines in the unstable state have problems such as the increased voltage at the end of the line and loss of stability, and in pregnancy, problems such as voltage drop and loss of transmissible capacity, and in some cases of voltage instability, include transient power fluctuations and instability due to disturbances. These problems are exacerbated by the increase in the length of transmission lines. To solve these problems, the active and reactive voltages and capacities must be controlled momently to reduce line losses and increase power transmission capacity as well as improve reliability and maintain voltage stability the use of FACTS equipment is now expand worldwide and can be studied and proposed for the prospects of Iran's national grid. In this article, a more complete model based on weighted and ranked of different possible events simultaneously and optimally locating two examples of these devices including Thyristor Controlled Series Compensator (TCSC) and Static Reactive Power Compensator (SVC) to improve Available Transfer Capability (ATC) is proposed in 14-bus and 24-bus power networks by the IWO (Invasive Weed Optimization) method and then its results will be compared and evaluated with other optimization methods. |
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| Keywords: : Flexible AC Transmission System (FACTS), Available Transfer Capability (ATC), Thyristor Controlled Series Compensator (TCSC), Static Reactive Power Compensator (SVC), Invasive Weed Optimization (IWO) Method |
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Full-Text [PDF 1078 kb]
(130 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2023/02/14 | Accepted: 2023/05/23 | Published: 2023/05/31
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