Abstract
This paper presents a solution for the transmission congestion management considering voltage stability issues using optimal generation rescheduling. While practicing congestion management using optimization techniques, the control variables remain under their upper or lower limits but it may lead to the lowered level of voltage security after optimization. To counterbalance this adverse effect, a modified objective function has been used. The reactive power generation rescheduling and reactive support from capacitors have been incorporated along with active power generation rescheduling to manage congestion as well as to improve the network voltage stability margin. The Random Inertia Weight Particle Swarm Optimization (RANDIW-PSO) algorithm has been employed in this paper to obtain optimized solutions. The proposed methodology is tested on the New-England test system for different realistic scenarios. The results confirm a noteworthy decline in congestion cost along with the improvement in network voltage stability margin. Moreover, system performance has been improved in terms of system power losses, increased reactive power reserve at generators and voltage profile.
Highlights
The aim of electric industry deregulation is to focus towards enhanced system performance and reliable power at low cost
This work aims to contemplate a cost-effective methodology to deal with the issue of transmission congestion management from the viewpoint of network voltage stability margin
Compare to the other variants of PSO, the advantage of this algorithm is that it retains the particle momentum throughout the search process which results in an exploration of more optimal solutions
Summary
The aim of electric industry deregulation is to focus towards enhanced system performance and reliable power at low cost. The deregulation has transferred generation investment and operational decisions into the competitive market. Transmission system has been kept as a common resource in the regulated environment. This mixed scenario of competitive generation and regulated transmission has aggravated the issue of transmission congestion. Congestion is a state when system operates close to its transmission capacity constraint with reduced security margin. Since congestion intimidates system security, increases energy price and creates economically inefficient market operations, it is important to develop an optimal congestion management strategy for system operators
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