Open AccessOptimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm
Author(s) -
Majid Moazzami,
Hossein Shahinzadeh,
Gevork B. Gharehpetian,
Abolfazl Shafiei
Publication year - 2019
Publication title -
international journal of robotics and automation (ijra)/iaes international journal of robotics and automation
Language(s) - English
Resource type - Journals
eISSN - 2722-2586
pISSN - 2089-4856
DOI - 10.11591/ijra.v8i2.pp77-88
Subject(s) - congestion management , thyristor , computer science , reduction (mathematics) , network congestion , capacitor , electric power system , power (physics) , power flow , mathematical optimization , voltage , engineering , computer network , electrical engineering , mathematics , physics , geometry , quantum mechanics , network packet
Congestion management is one of the important issues in the deregulated power systems. There are several methods to eliminate congestion. Utilizing FACTS devices is an appropriate option for large-scale and quick control of flows of transmission lines. FACTS devices such as Thyristor Controlled Series Capacitor (TCSC) can help to mitigate the transmitting flow of power in the congested lines, which leads to an increase in the network loading ability as well as reduction of both losses and production costs. Due to the considerably high price of FACTS devices, it is important to determine their optimum location on the network. Accordingly, in this paper, the Antlion optimization algorithm (ALO) has been employed to conduct a congestion management analysis to determine the optimal location for the installation of TCSC, which is simulated on an IEEE 14-bus test system subject to satisfy the constraints of the market environment.