Inter-area Oscillation Control Based on Eigensystem Realization Approach
Autor: | J. Dobrowolski, F.R. Segundo, F. A. Zelaya A, M.R.A. Paternina |
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Přispěvatelé: | Zürich University of Applied Sciences (ZHAW), Universidad Nacional Autónoma de México (UNAM) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Adaptive control
Computer science 020209 energy [SPI.NRJ]Engineering Sciences [physics]/Electric power 02 engineering and technology linear quadratic gaussian Linear-quadratic-Gaussian control adaptive control eigensystem realization [SPI.AUTO]Engineering Sciences [physics]/Automatic Electric power system Inter-area Oscillation Control theory power system stabilizer dynamic stability [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Eigensystem realization algorithm MATLAB mode identification 621.3: Elektrotechnik und Elektronik Realization (systems) computer computer.programming_language |
Zdroj: | 2018 IEEE International Autumn Meeting on Power, Electronics and Computing 2018 IEEE Autumn Meeting on Power, Electronics and Computing (ROPEC 2018) 2018 IEEE Autumn Meeting on Power, Electronics and Computing (ROPEC 2018), Nov 2018, Ixtapa, Mexico |
Popis: | International audience; The continuous growth and development of society have a direct correlation to the amount of energy required to satisfy its demand. As consequence, more interconnections of existing electrical networks are required, increasing the complexity on its operation. Thus, larger power systems are prone to experience inter-area oscillations, which are triggered by generators oscillating against each other from different geographic locations. Whether these so called inter-area oscillations are undamped, they could eventually lead to a system collapse. In this work, a Linear Quadratic Gaussian (LQG) control approach to damp inter-area oscillations out, which is coupled with a dynamic eigensystem realization algorithm (ERA), is proposed. Although these two concepts are well documented on the literature, the novelty presented here is its combination resulting on a fast and effective damping controller. The proposed architecture is implemented as a digital Power System Stabilizer (PSS) using the combination of the professional softwares DigSilent PowerFactory and Matlab. The presented controller is validated trough dynamic system simulations on the IEEE benchmark New England model. Additionally, a tutorial to implement the proposed controller is also presented. |
Databáze: | OpenAIRE |
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