Congestion Management in Deregulated Electricity Market with Generator Sensitivity Effects

Authors

  • Ali Ghasemi Mazandaran University of Science and Technology

DOI:

https://doi.org/10.37256/est.11202042

Keywords:

Congestion management, Optimization, Electricity market, Virus search colony.

Abstract

This paper proposes a novel modified virus colony search (MVCS) algorithm to solve congestion management (CM) problem in the deregulated electricity market considering generator sensitivity and rescheduling of active powers. Thus, the generator output has been recognized by generator sensitivity index to manage transmission line limitation so as to get maximum efficiency in power transmission. The CM model is formulated based on a single objective function to minimize final cost by optimal planning of active powers responding to generators. To develop the exploration and exploitation of VCS, proposes some modifications into local and global parts which they make the best stability in VCS structure. To reveal the MVCS performance, it is assessed on three well-known power systems, IEEE 30-bus and IEEE 118-bus, which the numerical results show acceptable performance compare to other available methods.

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Published

2019-11-27

How to Cite

[1]
Ali Ghasemi, “Congestion Management in Deregulated Electricity Market with Generator Sensitivity Effects”, Engineering Science & Technology, vol. 1, no. 1, Nov. 2019.