Abstract
In the present deregulated electricity market, power system congestion is the main complication that an independent system operator (ISO) faces on a regular basis. Transmission line congestion trigger serious problems for smooth functioning in restructured power system causing an increase in the cost of transmission hence affecting market efficiency. Thus, it is of utmost importance for the investigation of various techniques in order to relieve congestion in the transmission network. Generation rescheduling is one of the most efficacious techniques to do away with the problem of congestion. For optimizing the congestion cost, this work suggests a hybrid optimization based on two effective algorithms viz Teaching learning-based optimization (TLBO) algorithm and Particle swarm optimization (PSO) algorithm. For binding the constraints, the traditional penalty function technique is incorporated. Modified IEEE 30-bus test system and modified IEEE 57-bus test system are used to inspect the usefulness of the suggested methodology.
Highlights
In the present world, restructuring and deregulation have allowed equal availability of transmission system to all electricity buyers and sellers [1]
This paper suggests a hybrid optimization technique established on Teaching learning-based optimization (TLBO) and Particle swarm optimization (PSO) algorithms for solving this congestion management problem
The TLBO-PSO hybrid algorithm for obtaining the solution for congestion management problem is realized employing MATLAB software on a CPU powered by Intel Core i3 processor operating @ 1.80 GHz with 4 global best (GB) of RAM
Summary
In the present world, restructuring and deregulation have allowed equal availability of transmission system to all electricity buyers and sellers [1]. Transmission network in a competitive market perform a crucial role in the suc-. Since the power flow in a transmission line is restricted by many aspects like voltage limits, stability and thermal limits, the transmission line network becomes congested whenever any one or multiple of the above limits are violated [2] [3]. In the event of failing in maintaining the power system security, the consequences can be in the form of widespread blackouts resulting in severe social and economic repercussion
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