Congestion management in power system: A review

摘要

The development of deregulated power systems has resulted in overloading transmission networks or network congestion. Congestion has serious effects on power systems, including severe system damage. Congestion occurs when transmission networks fail to transfer power based on the load demand. These problems are managed using congestion management methods, which play an important role in current deregulated power systems. Several methods have been proposed to manage congestion. This paper reviews some congestion management methods, including Generators Rescheduling (GR), load shedding, optimal location of Distributed Generation (DG), Nodal Pricing, cost free methods, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Mixed Integer Nonlinear Programming (MINLP), Shuffled Frog Leaping Algorithm (SFLA), Fuzzy-Logic System approaches and the additional renewable energy sources. The work of various publications is used to review the significance of each proposed technique in relieving congestion and minimizing system operating costs.