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Performance optimization of a Residential Microgrid Balancing Economic and Energy Issues 20

Performance Optimization of a Residential Microgrid Balancin...

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20th International conference on Smart Technologies, EUROCON 2023

作者： Di Somma, Marialaura Di Dio, Vincenzo Favuzza, Salvatore Montana, Francesco Porgi, Vincenzo Zizzo, Gaetano Portici Italy Department of Engineering Palermo Italy

ISBN: (纸本)9781665463973

Microgrids are currently seen as the future of power generation and distribution systems. this paper illustrates the optimization of the operation stage of the main components of a microgrid supplying the final demands for electricity, heating and cooling of a residential district. the optimization was performed with reference to four seasonal standard days and optimizing the operating costs or the primary energy use. the electricity production from a photovoltaic system and a combined heat and power (CHP) satisfies the local electricity demand. the heating demand is fulfilled with a gas-fired boiler, a CHP, a solar thermal collector and a reversible heat pump that is employed also for the cooling demand together with an absorbtion chiller. Moreover, a storage system for each demand is also included. the optimization model is formulated through a mixed-integer linear programming approach and implemented in MATLAB. the results show a reduction of costs ranging between about two and four times and a reduction of primary energy use between about two and five times with respect to the traditional scenario (electricity and gas from the grid). © 2023 IEEE.

关键词： MATLAB

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Constrained optimization of offshore wind turbine positions under uncertain wind conditions with correlated data 20

Constrained optimization of offshore wind turbine positions ...

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EERA DeepWind conference / 20th Deep Sea Offshore Wind R and D conference

作者： Pettersson, Per Aursjo, Olav Helland, Johan Olav Jettestuen, Espen NORCE Norwegian Res Ctr POB 8046 N-4068 Stavanger Norway

Offshore wind power production is subject to substantial uncertainty due to variability in wind conditions. Planning of new wind parks should take these uncertainties into account by means of stochastic modeling and uncertainty quantification. Wind speed and wind direction exhibit dependence that needs to be properly modeled to yield reliable uncertainty estimates. In particular, the dependence is strong when data are averaged over a short timehorizon, e.g., on a monthly rather than an annual basis. In this work we introduce a stochastic model for wind speed and wind direction using Rosenblatt transformation and an empirical model. this allows efficient numerical quadrature that replaces thousands of Monte Carlos samples by a few tens of model evaluations at quadrature points in parametric space. A robust design formulation for maximizing power production honoring dependent data is proposed and demonstrated on data from the North Sea site S phi rlige Nordsj phi II.

关键词： Constrained optimization

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modeling and optimization of a New Magnetic Coupler Topology for DIPT systems 20

Modeling and Optimization of a New Magnetic Coupler Topology...

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20th Biennial IEEE conference on Electromagnetic Field Computation (CEFC)

作者： de Moraes, Vinicius T. M. Kabbara, Wassim Bensetti, Mohamed Phulpin, Tanguy Univ Paris Saclay Sorbonne Univ Cent Supelec UMR CNRS 8507GeePs Grp Elect Engn Paris 3 & 11 Rue Joliot Curie F-91192 Gif Sur Yvette France

ISBN: (数字)9781665468336

ISBN: (纸本)9781665468336

the application of dynamical inductive power transfer (DIPT) systems is currently seen as one of the possible solutions to improve the autonomy of embedded power devices. In this context, electromagnetic field emissions play a crucial role in the system's design. In this paper, a new coil topology for magnetic couplers in DIPT systems is proposed, based on the use of adjacent current loops, which can improve the tradeoff between reducing the magnetic field emissions near the magnetic coupler and maintaining almost the same system's efficiency. In order to evaluate the topology's performance, finite element method simulations are carried out to determine the impact on the magnetic field emissions and the coupling coefficient. Finally, coil prototypes are developed in order to validate the results obtained by modeling.

关键词： DIPT coupling coefficient magnetic field magnetic coupler EMC FEM optimization

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Evaluation on the Construction of New Power system of Different Cities 9

Evaluation on the Construction of New Power System of Differ...

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9th International conference on Power and Renewable Energy

作者： Liu, Lifeng Meng, Lei Liu, Jin Lu, Jianfei Li, Zechen Zhang, Pei State Grid Zhejiang Elect Power Co Ltd Social Insurance Ctr Human Resources Dept Hangzhou Zhejiang Peoples R China State Grid Energy Res Inst Beijing Peoples R China Beijing Jiaotong Univ Sch Econ & Management Beijing Peoples R China Beijing Jiaotong Univ Sch Elect Engn Beijing Peoples R China

ISBN: (纸本)9798350377477;9798350377460

the report of the 20th National Congress of the Communist Party of China has set the direction for the high-quality and leapfrog development of energy and electricity in the new era and put forward higher requirements. To actively implement the "dual carbon" strategy and promote the construction of a new energy system, the evaluation of the power system should also be based on the new stage of development and guided by new development concepts. the development of the new power system first needs to ensure the reliability, safety, and electrical energy quality of the power grid, and ensure the unique characteristics of the new power system in resource optimization, cleanliness, and economy. Based on this, a comprehensive evaluation index system for the construction of the new power system has been established. Corresponding indicator data from four power grid companies nationwide from 2014 to 2023 was collected, and finally, the AHP-TOPSIS method was used to evaluate the comprehensive scores of each power grid company. this provides a multi-level, long-term, comprehensive, and holistic evaluation of the current status of new power system construction in the power

关键词： New Power system AHP-TOPSIS Power Grid

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Voltage Balancing Using Particle Swarm optimization and Support Vector Machine 20

Voltage Balancing Using Particle Swarm Optimization and Supp...

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20th International Multi-conference on systems, Signals and Devices, SSD 2023

作者： Ghaeb, Jasim Al-Naimi, Ibrahim Alkayyali, Malek Philadelphia University Mechatronics Engineering Department Amman Jordan Sultan Qaboos University Electrical and Computer Engineering Department Muscat Oman Clemson University Department of Mechanical Engineering SC United States

ISBN: (纸本)9798350332568

Particle Swarm optimization (PSO) and Support Vector Machine (SVM) are proposed in this paper to provide an intelligent integrated solution for controlling reactive power and restoring voltage balance in a three-phase power system. the PSO algorithm is used in offline mode to determine the optimal set of firing angles for the thyristor-Controlled-Reactor compensator according to the smallest fitness value required for voltage balancing. SVM are presented as online mode controllers for quickly and precisely restoring voltage balance. the optimum firing angles obtained by PSO are used to train the SVM. the SVM models are finally used as real-time controllers to retrieve the voltage balance in online mode. A simulation model and experimental setup of the electrical power system are built. Several simulations and practical case studies have been conducted to test and validate the capability of the proposed approach in solving the voltage unbalance problem. the results indicated the proposed approach's superior capacity to restore voltage balance rapidly. © 2023 IEEE.

关键词： Power quality

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Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut 20th

Exploring the Capabilities and Limitations of Neural Methods...

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20th conference of the Spanish Association for Artificial Intelligence (CAEPIA)

作者： Garmendia, Andoni, I Ceberio, Josu Mendiburu, Alexander Univ Basque Country UPV EHU Donostia San Sebastian Spain

ISBN: (纸本)9783031627989;9783031627996

the use of Neural Networks (NN) within Combinatorial optimization (CO) marks a significant shift in the paradigm, moving towards automatically learning heuristic strategies in deterministic and local search frameworks. NNs are capable of learning relevant patterns and symmetries of various CO problems. Despite their potential, the practical application of NNs in both academic and real-world optimization problems has not yet reached the levels of traditional exact solvers or metaheuristic approaches. this study primarily focuses on the Maximum Cut problem to investigate the capabilities and limitations of NN models within the CO domain. We introduce a series of research questions aimed at examining the generalization capabilities, reliability, and computational costs associated with these models. Our findings reveal that: (1) NN models exhibit better modeling capabilities and generalizability when trained on a diverse set of instances, (2) the model's level of uncertainty can act as an indicator of its performance, and (3) employing a unified representation framework, wherein models concurrently learn from diverse tasks or instance types offers a significant training-speedup.

关键词： Combinatorial optimization Deep Learning

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Optimizing Frequency Stability in Power systems through Particle Swarm optimization-Based Control Strategies 20

Optimizing Frequency Stability in Power Systems through Part...

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20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024

作者： Yeoh, Sing Hsia Yiauw, Kah Haur Yip, Sook Yee Kwan, Zhi Hong Tunku Abdul Rahman University Of Management And Technology Dept. Of Electrical And Electronics Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798350382310

Maintaining frequency stability in modern power grids is paramount for regulating overall system frequency and interconnection power flow. Immediate frequency disruptions often result from unexpected variations between energy demand and supply. Furthermore, the adoption of intermittent renewable energies into the power grid introduces additional challenges in frequency stabilization. Traditional control techniques tend to be constrained and slow in adapting to the target frequency when faced with sudden load changes and unpredictable influxes of renewable energy. As power systems increasingly rely on renewable energy sources, there is a noticeable reduction in the system's inherent inertia, rendering it more susceptible to frequency disturbances. this underscores the limitations of conventional control strategies. Superconducting Magnetic Energy Storage (SMES) aids in stabilizing the system's frequency. An enhanced control scheme is proposed, which integrates the SMES input through both Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) controllers in the secondary loop. the configuration is subsequently optimized using Particle Swarm optimization (PSO). this methodology is evaluated within a dual-region interconnected power system using MATLAB/SIMULINK. the robustness and efficiency are assessed across a range of load conditions and renewable energy integrations. Few performance indicators, i.e., overshoot, undershoot, and settling time, are used to evaluate its effectiveness. Notably, this optimized coordinated control method consistently mitigates frequency deviations to within 0.5 Hz under all conditions, representing a significant advancement over conventional control methods. © 2024 IEEE.

关键词： Electric power system interconnection

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Receiving resonant phase-modulated signals using atomic magnetometer for magnetic communications 20

Receiving resonant phase-modulated signals using atomic magn...

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20th Annual IEEE International conference on Sensing, Communication, and Networking (SECON)

作者： Lee, Hyun Joon Oh, Jung Hoon Kim, Jang-Yeol Yoon, Kye-Seok Cho, In-Kui Elect & Telecommun Res Inst ETRI Radio Res Div Daejeon South Korea

ISBN: (纸本)9798350300529

Telecommunication in harsh environments, such as an electrically conductive medium, requires the use of carrier bands with very-low and ultralow frequencies for radiofrequency links. Recent advancements in atomic magnetometers operating at very-low frequencies have facilitated the reception of digitally modulated signals. We demonstrate the ability to transmit and receive quadrature phase-shift keying (QPSK) signals using a multi-resonant loop antenna and atomic magnetometer. the introduced multi-resonant loop antenna noticeably enhances the bandwidth, with an expansion exceeding 70% compared with a single-loop antenna. Additionally, utilizing an atomic magnetometer, we successfully demodulated a QPSK signal with a carrier frequency of 20 kHz and a symbol rate of 150 symbols per second. the acquired measurements reveal an error vector magnitude of 7.29% and a signal-to-noise ratio of 30.9 dB. these findings highlight the potential of the proposed system for efficient and reliable very-low frequency telecommunication in challenging environmental conditions.

关键词： atomic magnetometer multi-resonant loop antenna magnetic communication antenna optimization

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Substation Voltage optimization Strategy in Traction Power Supply system with Bidirectional Converter Devices 19

Substation Voltage Optimization Strategy in Traction Power S...

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20th IEEE Vehicle Power and Propulsion conference (IEEE VPPC)

作者： Wang, Kuo Lin, Fei Yang, Zhongping Wang, Tingting Wei, Xiong Fu, Ping Beijing Jiaotong Univ Sch Elect Engn Beijing Peoples R China CRRC Qingdao Sifang Vehicle Res Inst Co Ltd Qingdao Peoples R China

ISBN: (纸本)9798350344455

the bidirectional converter device (BCD) can replace the traditional diode rectifier unit to both supply traction energy to the system and to recover regenerative braking energy. the operating characteristics of BCDs are controllable, and it is very important to study the impact on system energy saving. this paper is based on the application scheme of BCDs to completely replace diode rectifier units. the operating characteristics of the BCD are introduced, and the energy distribution of the system is analyzed. Taking the total energy consumption of the system as the objective function, a substation voltage optimization strategy is proposed considering the dynamic operation of trains. It can dynamically optimize the ratio of energy utilization through different paths, allocate the power of each substation. Finally, a multi-train scenario is carried out by Matlab. the simulation results prove that the proposed strategy can coordinate the power of each substation and reduce the system losses. the system energy utilization is increased by 1.77% compared to the constant voltage control.

关键词： urban rail transit bidirectional converter device (BCD) regenerative braking energy saving optimization strategy

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One-shot backpropagation for multi-step prediction in physics-based system identification 20

One-shot backpropagation for multi-step prediction in physic...

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20th IFAC Symposium on system Identification (SYSID)

作者： Donati, Cesare Mammarella, Martina Dabbene, Fabrizio Novara, Carlo Lagoa, Constantino Politecn Torino DET Turin Italy CNR IEIIT Turin Italy Penn State Univ EECS University Pk PA 16802 USA

the aim of this paper is to present a novel physics-based framework for the identification of dynamical systems, in which the physical and structural insights are reflected directly into a backpropagation-like learning algorithm. the main result is a method to compute in closed form the gradient of a multi-step loss function, while enforcing physical properties and constraints. the derived algorithm has been exploited to identify the unknown inertia matrix of a space debris, and the results show the reliability of the method in capturing the physical adherence of the estimated parameters. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Nonlinear system identification Grey-box modeling Parametric optimization Time-invariant systems Mechanical and aerospace estimation

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