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Energies 2018, 11(1), 183; doi:10.3390/en11010183

Real-Power Rescheduling of Generators for Congestion Management Using a Novel Satin Bowerbird Optimization Algorithm

Electrical and Electronics Engineering, Government College of Technology, Coimbatore, Tamilnadu 641013, India
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Received: 6 November 2017 / Revised: 28 December 2017 / Accepted: 31 December 2017 / Published: 12 January 2018
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Abstract

In this paper, an efficient meta-heuristic satin bowerbird optimization (SBO) algorithm is presented for congestion management (CM) in the deregulated power system. The main objective of CM is to relieve congestion in the transmission lines using a generation rescheduling-based approach, while satisfying all the constraints with minimum congestion cost. The SBO is a nature-inspired algorithm, developed based on the ‘male-attracts-the-female for breeding’ principle of the specialized stick structure mechanism of satin birds. The proposed approach is effectively tested on small and large test systems, namely, modified IEEE 30-bus, modified IEEE 57-bus, and IEEE 118-bus test systems. The constraints like line loading, line limits, generator limits, and bus voltage impact, etc., are incorporated into this study. The proposed technique gives superior results with regards to congestion cost and losses compared with various recent optimization algorithms. View Full-Text
Keywords: congestion management; deregulation; optimal power flow; generator rescheduling; satin bowerbird optimizer congestion management; deregulation; optimal power flow; generator rescheduling; satin bowerbird optimizer
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chintam, J.R.; Daniel, M. Real-Power Rescheduling of Generators for Congestion Management Using a Novel Satin Bowerbird Optimization Algorithm. Energies 2018, 11, 183.

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