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Smart Technologies for Power, Energy and control (STPEC), IEEE International Conference on

作者： Awadh Ba Wazir Abdullah A. Alhussainy Abdulraheem H. Alobaidi Aatif Altaf Anil Kumar Mahendra Kumar Sultan Alghamdi Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz University Jeddah Saudi Arabia Instrumentation and Control Engineering Department Dr. B R Ambedkar National Institute of Technology Jalandhar Jalandhar Punjab India

This paper introduces a robust controller designed for load frequency control in a dual-area integrated power grid. Here, the suggested controller is a blend of a fuzzy logic controller with an integral controller. The parameters of the integral controller and frequency bias settings are optimized to enhance the dynamic response of the proposed controller. To attain this, three distinct optimization algorithms are employed, i.e., genetic algorithm, simulated annealing, and pattern search. A new objective function using settling time, settling-max, and settling-min with a suitable weight factor is used to improve the parameters estimation process. A comparative analysis is performed using the proposed approach and classical-I controller under two cases considering several load disturbance scenarios. Furthermore, the suggested hybrid controller is evaluated and compared with similar models in the literature. As expected, the proposed controller exhibits superior performance.

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Topological edge states at singular points in non-Hermitian plasmonic systems

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Photonics Research 2022年第3期10卷 747-757页

作者： Yin Huang Yuecheng Shen Georgios Veronis Department of Optoelectrics Information Science and Engineering School of Physics and ElectronicsCentral South UniversityChangsha 410012China State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou 510275China School of Electrical Engineering and Computer Science Louisiana State UniversityBaton RougeLouisiana 70803USA Center for Computation and Technology Louisiana State UniversityBaton RougeLouisiana 70803USA

We introduce non-Hermitian plasmonic waveguide-cavity systems with topological edge states(TESs)at singular *** compound unit cells of the structures consist of metal-dielectric-metal(MDM)stub resonators side-coupled to an MDM *** show that we can realize both a TES and an exceptional point at the same frequency when a proper amount of loss is introduced into a finite three-unit-cell *** also show that the finite structure can exhibit both a TES and a spectral singularity when a proper amount of gain is introduced into the *** addition,we show that we can simultaneously realize a unidirectional spectral singularity and a TES when proper amounts of loss and gain are introduced into the *** finally show that this singularity leads to extremely high sensitivity of the reflected light intensity to variations of the refractive index of the active materials in the *** at singular points could potentially contribute to the development of singularity-based plasmonic devices with enhanced performance.

关键词： structure singularity singular

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Fixed-Time Virtual Inertia control for Frequency Stability in Islanded Mgs

Fixed-Time Virtual Inertia Control for Frequency Stability i...

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IEEE Industry Applications Society Annual Meeting (IAS)

作者： Mohamed Zaery Hossam Ali Syed Muhammad Amrr S.M. Suhail Hussain Vijay Vittal Mohammad A. Abido K.A.CARE Energy Research & Innovation Center King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Department of Electrical Engineering Faculty of Energy Engineering Aswan University Aswan Egypt School of Electrical Arizona State University Computer and Energy Engineering Tempe AZ USA Control & Instrumentation Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Electrical Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence King Fahd University of Petroleum & Minerals (KFUPM) Dhahran Saudi Arabia

ISBN: (数字)9798350372717

ISBN: (纸本)9798350372724

This paper introduces a novel control strategy, Fixed-time Virtual Inertia (Fxt-VI), designed to enhance frequency stability in islanded microgrids (MGs) that typically lack synchronous generation. Unlike traditional power systems, which rely on physical inertia, MGs necessitate inertia emulation due to the integration of fluctuating renewable energy sources. A key feature of the proposed Fxt-VI control strategy is its ability to quickly resolve frequency deviations within a predefined time frame, regardless of the initial system conditions. This ensures accelerated and predictable stabilization times. A thorough analysis using Lyapunov-based method is developed to validate the stability of the designed control strategy within a fixed time. Simulations in an islanded microgrid setup, including various energy sources such as thermal, wind, solar power plants, and energy storage systems, demonstrate the efficacy of the proposed Fxt-VI controller. Moreover, this paper provides a comparative evaluation of the proposed FxT-VI controller in relation to robust $\mathrm{H}-\infty$ and optimal PI controllers. The results show that it not only achieves quicker stabilization but also maintains lower frequency deviations compared to traditional methods, as assessed through specific performance metrics.

关键词： Time-frequency analysis Renewable energy sources Simulation Microgrids Power system stability Stability analysis Time factors Thermal stability Frequency control Power generation

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Modelling and Experimental Characteristics of Photovoltaic Modules in Typical Days at an Actual Photovoltaic Power Station 4

Modelling and Experimental Characteristics of Photovoltaic M...

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4th IEEE International Conference on Automation, Electronics and electrical engineering, AUTEEE 2021

作者： Lodhi, Ehtisham Yang, Pu Wang, Lina Lodhi, Zeeshan Khan, M. Adil Muhammad, Sijjad Tamir, Tariku Sinshaw Beihang University School of Automation Science and Electrical Engineering Beijing100191 China COMSATS University Islamabad Department of Electrical and Computer Engineering Abbottabad Campus 22060 Pakistan Chang'An University Department of Computer and Technology Xi'an710062 China Real Engineering Services Deans Trade Center Peshawar25000 Pakistan Institute of Automation Chinese Academy of Sciences The SKL For Management and Control of Complex Systems Beijing100190 China

ISBN: (纸本)9781665428392

Solar energy among the renewable energy sources (RES) plays an important role in fulfilling any country's energy demands. When the sunlight irradiates the photovoltaic (PV) modules, part of the light energy is directly converted into electric energy. Another part is converted into heat energy, which increases the working temperature and affects the output performance characteristics of the PV module. This paper proposes a dynamic mathematical model of PV modules working on solar irradiance and ambient temperature by calculating the PV module model parameters under different environmental conditions. The dynamic model of the PV module is suggested to simulate PV modules' output characteristics (voltage and current) under any environmental conditions. By employing MATLAB/Simulink, a PV output characteristics program is compiled. The whole day output characteristics of PV strings of a real PV power station are tested and compared with simulation results. The results depict that the established model can effectively reflect PV modules' output characteristics in actual operation and can be used for dynamic simulation of PV power generation. © 2021 IEEE.

关键词： Solar energy

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Joint Multi-stage Planning of Renewable Generation, HESS, and AESS for Deeply Decarbonizing Power Systems with High-penetration Renewables

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IEEE Transactions on Sustainable Energy 2024年

作者： Yu, Zhipeng Chi, Yingtian Lin, Jin Liu, Feng Li, Jiarong Song, Yonghua Ren, Zhengwei Lu, Chengcheng Ji, Mengbo Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing100087 China Tsinghua University Sichuan Energy Internet Research Institute Chengdu610213 China Harvard University Harvard John A. Paulson School of Engineering and Applied Sciences Cambridge United States University of Macau Department of Electrical and Computer Engineering Macau999078 China Tsinghua University Department of Electrical Engineering Beijing100087 China China Electric Power Planning & Engineering Institute National Electric Power Planning and Research Center Beijing100087 China Co. Ltd. Beijing100087 China Ordos City Hanxia Renewable Energy Co. Ltd. Ordos014300 China

The further decarbonization of power systems with high renewable energy penetration faces the problem of inter-day intermittence of renewable energy sources (RES) and the seasonal imbalance between RES and load demand, due to the limited regulation ability of conventional units such as thermal generation. Regular solutions based on battery energy storage system (BESS) are too costly to be practical. To address issues above, hydrogen energy storage system (HESS) and ammonia energy storage system (AESS) are introduced to gradually replace thermal generation. Specifically, first, HESS and AESS are incorporated into the multi-stage capacity expansion planning (MSCEP) model with carbon emission reduction constraints. Yearly data with hourly time resolution are utilized for each stage to accurately describe the intermittence of RES. Then, an improved column generation (CG) with Dantzig-Wolfe decomposition (DWD) embedded solution approach is used to efficiently solve the large-scale MSCEP model. Finally, a real-life system in China is studied. The results indicate that the proposed method can guarantee high power supply reliability (PSR) under different renewable energy penetration levels, avoiding the low PSR problem that may be caused by the existing typical scenario-based method (TSM) under high penetration (≥30%). Moreover, HESS and AESS are essential to reduce the cost of decarbonization. Especially under the goal of carbon neutrality, the contribution of HESS and AESS in reducing levelized cost of energy (LCOE) reaches 12.28% and 14.59%, respectively, leading to a levelized cost of carbon reduction (LCOCr) of 998 RMB/t. © 2010-2012 IEEE.

关键词： Hydrogen storage

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Improving the speed of variational quantum algorithms for quantum error correction

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Physical Review A 2023年第2期108卷 022611-022611页

作者： Fabio Zoratti Giacomo De Palma Bobak Kiani Quynh T. Nguyen Milad Marvian Seth Lloyd Vittorio Giovannetti Scuola Normale Superiore I-56126 Pisa Italy Department of Mathematics University of Bologna 40126 Bologna Italy Department of Electrical Engineering and Computer Science MIT 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA Department of Electrical and Computer Engineering and Center for Quantum Information and Control University of New Mexico Albuquerque New Mexico 87131 USA Department of Mechanical Engineering MIT 77 Massachusetts Avenue Cambridge Massachusetts 02139 USA Turing Inc. Cambridge Massachusetts 02139 USA NEST Scuola Normale Superiore and Istituto Nanoscienze-CNR I-56126 Pisa Italy

We consider the problem of devising suitable quantum error correction (QEC) procedures for a generic quantum noise acting on a quantum circuit. In general, there is no analytic universal procedure to obtain the encoding and correction unitary gates, and the problem is even harder if the noise is unknown and has to be reconstructed. The existing procedures rely on variational quantum algorithms (VQAs) and are very difficult to train since the size of the gradient of the cost function decays exponentially with the number of qubits. We address this problem using a cost function based on the quantum Wasserstein distance of order 1 (QW1). At variance with other quantum distances typically adopted in quantum information processing, QW1 lacks the unitary invariance property which makes it a suitable tool to avoid getting trapped in local minima. Focusing on a simple noise model for which an exact QEC solution is known and can be used as a theoretical benchmark, we run a series of numerical tests that show how, guiding the VQA search through the QW1, can indeed significantly increase both the probability of a successful training and the fidelity of the recovered state, with respect to the results one obtains when using conventional approaches.

关键词： Quantum computation Quantum error correction

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Optimizing temperature distributions for training neural quantum states using parallel tempering

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Physical Review E 2025年第5期111卷 055306-055306页

作者： Conor Smith Quinn T. Campbell Tameem Albash Center for Quantum Information and Control University of New Mexico University of New Mexico Albuquerque New Mexico 87131 USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque New Mexico 87131 USA Center for Computational Quantum Physics Flatiron Institute New York New York 10010 USA Center for Computing Research Sandia National Laboratories Albuquerque New Mexico 87185 USA

Parametrized artificial neural networks (ANNs) can be very expressive ansatzes for variational algorithms, reaching state-of-the-art energies on many quantum many-body Hamiltonians. Nevertheless, the training of the ANN can be slow and stymied by the presence of local minima in the parameter landscape. One approach to mitigate this issue is to use parallel tempering methods, and in this work, we focus on the role played by the temperature distribution of the parallel tempering replicas. Using an adaptive method that adjusts the temperatures in order to equate the exchange probability between neighboring replicas, we show that this temperature optimization can significantly increase the success rate of the variational algorithm with negligible computational cost by eliminating bottlenecks in the replicas' random walk. We demonstrate this using two different neural networks, a restricted Boltzmann machine and a feedforward network, which we use to study a toy problem based on a permutation invariant Hamiltonian with a pernicious local minimum and the J1−J2 model on a rectangular lattice.

关键词： Hamiltonians

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Reformulating Task-Related Component Analysis for Reducing its computational Complexity

TechRxiv

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TechRxiv 2022年

作者： Chiang, Kuan-Jung Wong, Chi Man Wan, Feng Jung, Tzyy-Ping Nakanishi, Masaki Swartz Center for Computational Neuroscience Institute for Neural Computation University of California La Jolla San DiegoCA92093 United States Department of Electrical and Computer Engineering University of Macau Taipa China

The task-related component analysis (TRCA) is a data-driven method for extracting reproducible components across multiple data segments from multivariate data. TRCA has been proven effective in enhancing the signal-to-noise ratio of neuroimaging data in previous studies. However, it requires a computational cost of O(N2) to compute cross-covariance matrices, indicating that the computational time increases rapidly as the number of data segments N increases. This study proposed to reduce the computational complexity to O(N) theoretically by reformulating the covariance computations required in TRCA. Simulation study that compared the original and proposed TRCA against synthetic data with various sizes (e.g., data segments, dimensions, and lengths) validated the computation reduction. The proposed reformulation would be important in practice especially when applying the TRCA to large-scale computations. © 2022, CC BY.

关键词： computational complexity

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Robust control of Feeding Speed in Coal Seam Drilling Process Considering Borehole Friction

Robust Control of Feeding Speed in Coal Seam Drilling Proces...

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Chinese Automation Congress (CAC)

作者： Xiao Liu Luefeng Chen Chengda Lu Haipeng Fan Min Wu Witold Pedrycz School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Computer Engineering Istinye University Istanbul Turkey

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

During the coal seam drilling process, the drill string is subject to compressive deformation, compounded by unpredictable variations in formation hardness and borehole wall friction, leading to challenges in maintaining a stable feeding speed. This paper presents a novel approach by introducing uncertain parameters to describe the effects of formation hardness and borehole wall friction. Drill string axial movement model is modeled as a polyhedral system based on a lumped parameter representation. To meet industrial performance requirements, we design a robust $H_{\infty}$ controller to achieve consistent feeding speed control. Our simulation results demonstrate the controller's effectiveness in ensuring system stability despite fluctuations in formation hardness and drill string friction.

关键词： Drilling Robust control Friction Simulation Geology Velocity control Stability criteria Process control Coal Output feedback

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An Improved Method for Approximating the Infinite-horizon Value Function of the Discrete-time Switched LQR Problem

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IFAC-PapersOnLine 2023年第2期56卷 4138-4143页

作者： Tan Hou Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 U.S.A.

This paper considers the problem of approximating the infinite-horizon value function of the discrete-time switched LQR problem. In particular, we propose a new value iteration method to generate a sequence of monotonically decreasing functions that converges exponentially to the value function. This method facilitates us to use coarse approximations resulting from faster but less accurate algorithms for further value iteration, and thus, our method is capable of achieving a better approximation for a given computation time compared with the existing methods. Two numerical examples are presented in this paper to illustrate the effectiveness of our method.

关键词： Switched linear systems optimal control switched LQR problem

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