ORCID Profile
0000-0003-4952-8845
Current Organisations
Luxembourg Institute of Science and Technology site Luxembourg-Kirchberg 29JFK
,
Loyola University Andalusia
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Publisher: IEEE
Date: 10-2018
Publisher: IEEE
Date: 10-2018
Publisher: Frontiers Media SA
Date: 05-03-2021
DOI: 10.3389/FENRG.2021.598436
Abstract: The proliferation of grid-connected converter interfaced energy sources in Smart Grids, enhance sustainability and efficiency as well as minimizing power losses and costs. However, concerns arise regarding the stability and reliability of future smart grids due to this wide integration of power electronic devices, which are recognized to affect the dynamic response of the system, especially during disturbances. For instance, apart from the lower d ing of existing electromechanical modes, new low-frequency oscillations begin to appear. Yet, the ability of grid-connected converters to provide grid support functionalities can alleviate the aforementioned challenges. Relevant studies show that these functionalities can be enhanced even further, if information regarding the oscillation characteristics are available. Traditional methods for extracting modal information are very well suited for monitoring purposes, however, they pose certain limitations when considered for control applications. Therefore, this paper proposes a multi-band intelligent power oscillation d er (MiPOD) that exploits 1) the inherent characteristics of grid-connected converters to d multiple power oscillations and 2) the modeling capabilities of Artificial Intelligence (AI) for predicting the frequency of electromechanical oscillations in the system, as operating conditions change. Essentially, the MiPOD integrates the AI model in the control loop of the converter to attenuate multiple modes of oscillation. The proposed controller is validated for different disturbances and randomly generated operating points in the two area system. Specifically, in this case the AI model is a Random Forest ensemble regressor that is developed for tracking two electromechanical modes. As it is shown, the MiPOD can improve the overall performance of the system under various contingency scenarios with only 6% of the corresponding total nominal capacity of synchronous generators. In addition, the monitoring and d ing abilities of the MiPOD are demonstrated for a vast range of operating points just by tuning two parameters the predicted oscillation frequencies of the local and inter-area mode.
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE
Date: 11-10-2020
Publisher: IEEE
Date: 09-10-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 09-2018
Publisher: IEEE
Date: 10-2018
Publisher: IEEE
Date: 08-2019
Publisher: MDPI AG
Date: 27-08-2019
DOI: 10.3390/EN12173292
Abstract: The variable and unpredictable behavior of renewable energies impacts the performance of power systems negatively, threatening their stability and hindering their efficient operation. Flexible ac transmission systems (FACTS) devices are able to emulate the connection of parallel and series impedances in the transmission system, which improves the regulation of power systems with a high share of renewables, avoiding congestions, enhancing their response in front of contingencies and, in summary, increasing their utilization and reliability. Proper control of voltage and current under distorted and unbalanced transient grid conditions is one of the most critical issues in the control of FACTS devices to emulate such apparent impedances. This paper describes how the synchronous power controller (SPC) can be used to implement virtually synchronous FACTS. It presents the SPC functionalities, emphasizing in particular the importance of virtual admittance emulation by FACTS devices in order to control transient unbalanced currents during faults and attenuate harmonics. Finally, the results demonstrate the effectiveness of SPC-based FACTS devices in improving power quality of electrical networks. This is a result of their contribution to voltage balancing at point of connection during asymmetrical faults and the improvement of grid voltage quality by controlling harmonics flow.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Location: Luxembourg
No related grants have been discovered for Gregory N. Baltas.