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Neural Computing and Applications

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02.02.2018 | Original Article

Frequency-constrained unit commitment problem with considering dynamic ramp rate limits in the presence of wind power generation

verfasst von: Amin Safari, Hossein Shahsavari

Erschienen in: Neural Computing and Applications | Ausgabe 9/2019

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Abstract

An increased use of variable generation technologies such as wind power generation can have important effects on system frequency performance during normal operation as well as contingencies. This has led to new challenges for system operators in terms of improving frequency characteristics during contingencies. This subject is stated within the framework of frequency-constrained unit commitment problem (FCUCP) in this study by augmenting the frequency characteristic in the multi-thermal units. The ramp rate is proposed as dynamic constraint, and FCUCP is solved efficiently by binary particle swarm optimization (BPSO) based heuristic optimization algorithms. The influence of the proposed ramping on FCUCP is simulated, and it can be shown that the costs of the system under considering practical limitations that are solved by BPSO are minimized.

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Titel: Frequency-constrained unit commitment problem with considering dynamic ramp rate limits in the presence of wind power generation
verfasst von: Amin Safari
Hossein Shahsavari
Publikationsdatum: 02.02.2018
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 9/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-018-3363-y

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