Application of Elitist Teacher–Learner-Based Optimization Algorithm for Congestion Management

2020 ◽  
pp. 13-29
Author(s):  
Rupali Parmar ◽  
Sulochana Wadhwani ◽  
Manjaree Pandit
Keyword(s):  
Optimization Algorithm ◽  
Congestion Management

scholarly journals Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm

2019 ◽  
Vol 8 (2) ◽  
pp. 77
Author(s):  
Majid Moazzami ◽  
Hossein Shahinzadeh ◽  
Gevork B. Gharehpetian ◽  
Abolfazl Shafiei
Keyword(s):  
Power Systems ◽  
Optimization Algorithm ◽  
Large Scale ◽  
Congestion Management ◽  
Test System ◽  
Production Costs ◽  
High Price ◽  
Facts Devices ◽  
Antlion Optimization ◽  
Deregulated Power Systems

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.

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