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Control and Stability of Large-scale Power System with Highly Distributed Renewable Energy Generation:Viewpoints from Six Aspects

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CSEE Journal of Power and Energy systems 2023年第1期9卷 8-14页

作者： Qing-Hua Wu Anjan Bose Chanan Singh Joe H.Chow Gang Mu Yuanzhang Sun Zhaoxi Liu Zhigang Li Yang Liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China School of Electrical Engineering&Computer Science Washington State UniversityPullmanWA 99164USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNYUSA Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China

Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.

关键词： Distributed energy resources high converter penetration power system control renewable energy generation stability control transient stability

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An Instrumental Variable Approach to Functional Network Discovery from Optogenetic Experiments 58

An Instrumental Variable Approach to Functional Network Disc...

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58th Asilomar Conference on Signals, systems and computers, ACSSC 2024

作者： Hajiseyedrazi, S. Pardis Babadi, Behtash Institute for Systems Research University of Maryland Departement of Electrical & Computer Engineering College ParkMD United States

ISBN: (纸本)9798350354058

Understanding how networks of neurons transmit information is crucial to uncovering the underlying mechanisms of brain function. A common measure of communication in neuronal networks is functional connectivity. But, due to the presence of many latent confounding factors in existing experimental paradigms, functional connectivity estimates do not allow a direct interpretation of causal interactions in a network. Here, we aim at addressing this challenge using a quasi-experimental approach, namely Instrumental Variables, in a concurrent optogenetic stimulation of two-photon calcium imaging paradigm. We propose a methodology based on variational inference that allows estimating the spiking activity from blurred and noisy two-photon observations. We then use maximum likelihood estimation to construct a statistical testing framework that allows to distinguish between direct and confounding pairwise effects, by taking a set of random stimulation patterns as the instrumental variables. We demonstrate the utility of our approach using simulated data and compare its performance with existing work. Our results show that the proposed method can achieve high sensitivity and specificity in functional network discovery in presence of confounding effects and using a limited number of stimulation patterns and trials. © 2024 IEEE.

关键词： Neurons

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System Strength Beyond Fault Level

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IEEE Access 2025年 13卷 104184-104200页

作者： Ghazavi Dozein, M. Berry, B. Milanoviae, J.V. Mancarella, P. Monash University Department of Electrical and Computer Systems Engineering ClaytonVIC3800 Australia Curious Insights United Kingdom University of Manchester ManchesterM13 9PL United Kingdom The University of Melbourne School of Electrical and Electronic Engineering ParkvilleVIC3010 Australia

System Strength (SS) is becoming increasingly important while more and more inverter-based resources (IBRs) get connected to weak parts of the grid. There is still, however, a level of ambiguity with respect to formal SS definition. It is to a large extent legacy from conventional systems dominated by synchronous generators, often only simplistically associated with fault level. To overcome these issues and encourage discussion that will lead to more formal SS definition, this paper proposes a new inclusive concept of SS and technical framework to clarify its fundamental technical aspects. Starting from a comprehensive review of existing definitions, assessment metrics, and observed real-life challenges and solutions, the paper identifies the gaps between the technical fundamentals of the SS concept and its legacy perception. This is followed by identification of the key SS components relevant for assessment of both steady-state and dynamic system performance. The paper proposes a new SS classification where the SS "umbrella concept" is broken down into small-signal strength, large-signal strength, and short-circuit strength with relevant SS factors, which may also be used in the context of ancillary services market developments. We indeed highlight how the overall SS can be influenced by a combination of factors, not only by fault level, and recommend that a "voltage-behind-an-impedance" parametrization and model may be more effective in defining SS in many circumstances. Finally, the capabilities of different types of IBRs in providing SS products are discussed along with relevant complexity and limitations. © 2013 IEEE.

关键词： Short circuit currents

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Two-Rated-Power, Dual-Winding, Three-Phase Induction Motor

Two-Rated-Power, Dual-Winding, Three-Phase Induction Motor

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2024 International Conference on electrical Machines, ICEM 2024

作者： Ferreira, Fernando J. T. E. Institute of Systems and Robotics University of Coimbra Dep. of Electrical and Computer Engineering Coimbra3030-250 Portugal

ISBN: (纸本)9798350370607

This paper proposes using star-delta and star-series connection modes in three-phase dual-winding squirrelcage induction motors to have available 100% and 55% of the original rated power for a given supply line-to-line voltage. The connection mode can be changed on a nine-terminal block. The experimental results obtained with a commercial 4-kW, 400-V, 50-Hz, 4-pole induction motor whose stator windings were redesigned to provide 4-kW and 2.2-kW output powers are presented and validate the proposed solution. Two-rated-power motors with the proposed output power ratio could be used as spare motors to replace faulty/damaged motors with the same frame size. The proposed solution allows fine-tuning the motor power to the actual maximum power required by the driven application/load and can be considered cost-effective as it may lead to significant gains in the motor efficiency and power factor when the low-power mode is adopted. In many cases, it may avoid the underloaded operation of induction motors, while keeping their original rated power available. © 2024 IEEE.

关键词： Microelectronics

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Comparative analysis of OFDM in AWGN & Local Acoustic Channel 1

Comparative analysis of OFDM in AWGN & Local Acoustic Channe...

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1st IEEE Karachi Section Humanitarian Technology Conference, Khi-HTC 2024

作者： Ahmed, Areeb Siddqui, Aish Khan, Rehan Nabi, Ghulam Ali, Murtaza Mohammad Ali Jinnah University Dept. Electrical and Computer Systems Engineering Karachi Pakistan Islamabad Pakistan

ISBN: (纸本)9798350373042

In this research study, a comparative analysis is presented that analyze the Orthogonal Frequency Division Multiplexing (OFDM) in two distinct communication systems Additive White Gaussian Noise (AWGN) and a Local Acoustic Channel. This study incorporates insights from the BELLHOP model to enhance understanding of sound propagation in depth of water and guide the adaptation of OFDM for optimized communication. From simulated experiments, evaluate the performance of OFDM is assessed in the presence of local acoustic channel and AWGN, the important parameters like signal-to-noise ratio (SNR) and bit error rate (BER). The system of BELLHOP provides valuable context in the comparative analysis, highlighting the result of environmental factors on the performance of OFDM. The study not only contributes to the ongoing efforts in advancing underwater communication technique but also emphasizes the significance of tailored approach's in different underwater scenarios, ultimately having the way for more robust and efficient communication systems beneath the waves. Through a comparative analysis between AWGN and a local acoustic channel, results show that the system achieves a BER of 10-3 at SNR of 10 in local acoustic channel, while in the AWGN, a similar BER is achieved at SNR of 16. © 2024 IEEE.

关键词： Orthogonal frequency division multiplexing

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Accurate and Approximate Solutions of Nonlinear Electron Plasma Oscillations

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International Journal of Applied and Computational Mathematics 2024年第4期10卷 1-24页

作者： Kontomaris, S.V. Malamou, A. Faculty of Engineering and Architecture Metropolitan College BioNanoTec LTD Radar Systems and Remote Sensing Lab of School of Electrical and Computer Engineering of National Technical University of Athens

Nonlinear oscillations can be used to describe a significant number of physical phenomena from classic to modern physics. Thus, it is important to find accurate solutions using elementary functions that can be easily applied in relative applications. In this paper, the oscillations described by the nonlinear differential equation u^′′=ω_p0²(1-u∓2β²u^γ), where ω_p0,β,γ are positive constants are being considered. The aforementioned differential equations are of great importance since they are used to describe electron plasma oscillations under the influence of temperature effects and for big oscillations amplitudes. The amplitude and period of the oscillation for different values of constants β,γ are derived using rigorous mathematical analysis and simplified approximate methods. In addition, accurate solutions u=f(t) in the form of elementary functions are also presented. The results of this paper can be also applied to similar cases in physics (e.g. classic mechanics) where differential equations of the same form apply. © The Author(s), under exclusive licence to Springer Nature India Private Limited 2024.

关键词： Nonlinear differential equations Nonlinear oscillation’s period Plasma physics Thermal effects

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Airstacknet: A Stacking Ensemble-Based Approach for Air Quality Prediction

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computers, Materials & Continua 2023年第1期74卷 2073-2096页

作者： Amel Ksibi Amina Salhi Ala Saleh Alluhaidan Sahar A.El-Rahman Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairoEgypt

The quality of the airwe breathe during the courses of our daily lives has a significant impact on our health and well-being as ***,personal air quality measurement remains *** this study,we investigate the use of first-person photos for the prediction of air *** main idea is to harness the power of a generalized stacking approach and the importance of haze features extracted from first-person images to create an efficient new stacking model called AirStackNet for air pollution *** consists of two layers and four regression models,where the first layer generates meta-data fromLight Gradient Boosting Machine(Light-GBM),Extreme Gradient Boosting Regression(XGBoost)and CatBoost Regression(CatBoost),whereas the second layer computes the final prediction from the meta-data of the first layer using Extra Tree Regression(ET).The performance of the proposed AirStackNet model is validated using public Personal Air Quality Dataset(PAQD).Our experiments are evaluated using Mean Absolute Error(MAE),Root Mean Square Error(RMSE),Coefficient of Determination(R2),Mean Squared Error(MSE),Root Mean Squared Logarithmic Error(RMSLE),and Mean Absolute Percentage Error(MAPE).Experimental Results indicate that the proposed AirStackNet model not only can effectively improve air pollution prediction performance by overcoming the Bias-Variance tradeoff,but also outperforms baseline and state of the art models.

关键词： Personal air quality prediction airstacknet ensemble learning feature extraction stacking

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Latest Innovations in Intelligent Network-on-Chip Architectures: A Systematic Review 17

Latest Innovations in Intelligent Network-on-Chip Architectu...

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17th IEEE/ACM International Workshop on Network on Chip Architectures, NoCArc 2024

作者： Kakoulli, Elena Neapolis University Pafos Intelligent Systems Laboratory Department of Computer Science Pafos Cyprus Cyprus University of Technology Electrical Engineering and Computer Engineering and Informatics Limassol Cyprus

ISBN: (纸本)9798331506421

This review investigates the latest advancements in intelligent Network-on-Chip (NoC) architectures, focusing on innovations from 2022 to 2024. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into NoC designs has driven significant improvements in performance, scalability, energy efficiency, and security. Key contributions include AI/ML-driven techniques to optimize routing, reduce latency, manage power consumption, and enhancing security against emerging threats. Despite these advancements, challenges such as computational overhead and integration complexities remain. This review consolidates these findings, addresses existing challenges, and proposes future research directions to further leverage AI and ML for developing robust and adaptable NoC architectures. © 2024 IEEE.

关键词： Federated learning

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Techno-economic analysis of green hydrogen as an energy-storage medium for commercial buildings

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Clean Energy 2023年第1期7卷 84-98页

作者： Rahul Rajeevkumar Urs Assia Chadly Ameena Al Sumaiti Ahmad Mayyas Department of Industrial and Systems Engineering Khalifa UniversityAbu Dhabi 127788UAE Department of Electrical Engineering and Computer Science Advanced Power and Energy CenterKhalifa UniversityAbu Dhabi 127788UAE

Green-hydrogen production is vital in mitigating carbon emissions and is being adopted *** its transition to a more diverse energy mix with a bigger share for renewable energy,United Arab Emirates(UAE)has committed to investing billions of dollars in the production of green *** study presents the results of the techno-economic assessment of a green-hydrogen-based commercial-building microgrid design in the *** microgrid has been designed based on the building load demand,green-hydrogen production potential utilizing solar photovoltaic(PV)energy and discrete stack reversible fuel cell electricity generation during non-PV *** the current market conditions and the hot humid climate of the UAE,a performance analysis is derived to evaluate the technical and economic feasibility of this *** study aims at maximizing both the building microgrid’s independence from the main grid and its renewable *** results indicate that the designed system is capable of meeting three-quarters of its load demand independently from the main grid and is supported by a 78%renewable-energy *** economic analysis demonstrates a 3.117-$/kg levelized cost of hydrogen production and a 0.248-$/kWh levelized cost for storing hydrogen as ***,the levelized cost of system energy was found to be less than the current utility costs in the *** analysis shows the significant impact of the capital cost and discount rate on the levelized cost of hydrogen generation and storage.

关键词： fuel cell electrolyser green hydrogen microgrid photovoltaic

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Physics-Informed Neural Networks for Privacy-Preserving Model Sharing in Power systems

Physics-Informed Neural Networks for Privacy-Preserving Mode...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Canyakmaz, Ilayda Saner, Can Berk Varvitsiotis, Antonios Singapore University of Technology and Design Engineering Systems and Design Pillar Singapore National University of Singapore Electrical and Computer Engineering Department Singapore

ISBN: (纸本)9789531842976

Data privacy concerns in the power systems sector significantly complicate the sharing and integration of sensitive operational data among various independent entities. This challenge is particularly pronounced when developing system-wide mathematical models, as the reluctance to share sub-system models parametrized by sensitive data hinders effective system analysis and decision-making. To address this issue, this work introduces the application of Physics-Informed Neural Networks (PINNs) to develop surrogate models that accurately replicate power system dynamics without exposing sensitive data, enabling privacy-preserving model sharing. By embedding physical laws into the training process, PINNs utilize both available data and inherent system physics, making them particularly suitable for modeling complex dynamics. We propose a framework for model development, including dataset generation and integration of the physics knowledge during PINN training. As a proof-of-concept, we apply this framework to a simplified Single Machine Infinite Bus (SMIB) system. Case studies demonstrate that the trained PINN model closely follows ground-truth dynamics and consistently achieves higher accuracy compared to generic neural networks, highlighting the potential for accurate, privacy-preserving model sharing and system-wide dynamic simulations in power systems. © 2024 IEEE.

关键词： Differential privacy

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