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Impact of the Electrification of Vehicles and Integration of Solar Photovoltaic systems on Low-voltage Distribution Networks

Impact of the Electrification of Vehicles and Integration of...

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Canadian Conference on electrical and Computer engineering (CCECE)

作者： Gustavo L. Aschidamini Matheus Holzbach Bradley A. Reinholz Malcolm S. Metcalfe Mariana Resener School of Sustainable Energy Engineering Faculty of Applied Sciences Simon Fraser University-Surrey Campus Surrey Canada Department of Electrical Engineering São Paulo State University Ilha Solteira Brazil Generac Power Systems Inc. Waukesha WI USA

ISBN: (数字)9798350371628

ISBN: (纸本)9798350371635

The increasing integration of electric vehicles (EVs) and solar photovoltaic (PV) systems may impose challenges for the operation of power distribution networks such as network overloading and voltage issues. On the contrary, operating solutions with these low-carbon technologies may provide grid support and help mitigate grid congestion. This paper presents a study on the impact of the integration of EVs and solar PV generation on voltage issues, network loading and power losses in a low-voltage (LV) power distribution network. Quasistatic power-flow analysis is carried out for different levels of electrification of vehicles and solar PV systems penetration. A Monte Carlo simulation is used to capture uncertainty and variability both in load and generation. Case studies in a three-phase four-wire 18-bus LV distribution network demonstrate the grid impact for varying levels of EV integration with level 1 (L1) and level 2 (L2) charging, and solar PV system penetration levels. Switching from L1 to L2 charging lead to a 30 % increase in power losses during the summer and a 36 % increase during the winter, assuming 100 % EV penetration. Higher solar PV system penetration levels resulted in more significant reductions in active power losses during the summer season. Additionally, results also highlighted the significant impact of L2 charging on transformer loading and voltage.

关键词： Photovoltaic systems Low voltage power demand Monte Carlo methods Loading Voltage Distribution networks

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Iterative AHA-Driven Microgrid Reconfiguration for Interconnection Performance Enhancement

Iterative AHA-Driven Microgrid Reconfiguration for Interconn...

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Global power, Energy and Communication Conference (GPECOM)

作者： Wiam Ayrir Ahmed. M. Helmi Haitham S. Ramadan Electrical Engineering Networks and Telecommunication Systems Department National School of Applied Sciences Ibn Tofail University Kenitra Morocco Computer Engineering Department College of Engineering and Information Technology Buraydah Private Colleges Buraydah KSA Computer and Systems Engineering Faculty of Engineering Zagazig University Zagazig Egypt Electrical Power & Machines Department Zagazig University Zagazig Egypt Institut International Sur Le Stockage De l’Hydrogene (ISTHY) Belfort Territory France

ISBN: (数字)9798350351088

ISBN: (纸本)9798350351095

This paper presents an in-depth study on the reconfiguration of power distribution networks (PDN) in two interconnected microgrids using a recent bio-based optimization algorithm, the Artificial Hummingbird Algorithm, to minimize power losses and improve voltage profile within interconnected microgrids while keeping the radial topology in each microgrid and within the two. The proposed approach is validated by simulation on two interconnected 20-bus systems, demonstrating its effectiveness in achieving a balance between minimizing losses and improving voltage profile while reducing the cost function. Additionally, the results provide valuable insights into the field of PDN reconfiguration, providing a practical framework to optimize network performance and promote sustainable energy management.

关键词： Measurement Network topology Metaheuristics Microgrids Voltage Linear programming Topology

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Microgrid Cyber Security Enhancement Considerations

Microgrid Cyber Security Enhancement Considerations

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International Symposium on Advanced Topics in electrical engineering (ATEE)

作者： Mihai Alexandru Pisla Marilena Stanculescu Radu Florin Porumb Bogdan-Adrian Enache George-Calin Seritan Electrical Engineering Faculty – Doctoral School University Politehnica of Bucharest Romania Power Engineering Systems Department University Politehnica of Bucharest Romania Department of Electrotechnics University Politehnica of Bucharest Romania Department of Measurements Electrical Devices and Static Converters University Politehnica of Bucharest Romania

This paper discusses the use of Field-Programmable Gate Arrays (FPGAs) -based embedded systems to enhance the cyber security of microgrid infrastructure. This may be obtained by shifting the center of critical algorithms execution outside the main processing unit of the target components. The use of FPGAs allow various specific implementation approaches. The modern SoC architectures containing both an FPGA component and an advanced processing system in the same chip might be one of the answers to the cybernetic security enhancement. This solution can be the key in the evolving measurement and control systems used in microgrid terminals and/or data processing points. By narrowing the range of commonly known cyber-attacks, this may represent one of the best solutions to boost the cybernetic security of the measurement and control systems.

关键词： Resistance Semiconductor device measurement power measurement Statistical analysis power quality Microgrids Control systems

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Hydro power Unit Speed Control Based on an MPC Algorithm

Hydro Power Unit Speed Control Based on an MPC Algorithm

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International Multidisciplinary Conference on Computer and Energy Science (SpliTech)

作者： Mateo Beus Hrvoje Pandž ić Renato Sirovina Department of Energy and Power Systems University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Brodotehna Ltd. Zagreb Croatia

ISBN: (纸本)9781665488280

Nowadays, classical Proportional-Integral-Derivative (PID) controllers are mainly used for operation of most hydro turbine governors. Although the PID controllers have many advantages, such as simple implementation, their main weaknesses are resiliency to the disturbances and uncertainties, as well as the integral windup. Therefore, a hydro turbine governor's speed controller based on the model predictive control (MPC) is developed and applied to a non-linear simulation model of a laboratory hydro power plant. The frequency response of the hydro power plant in the islanded mode with MPC controller is compared to the classical PID controller. The simulation results clearly indicate that the MPC provides better performance than the classical PID controller. In that regard, it can be concluded that this type of controller has a practical implementation potential.

关键词： Hydraulic turbines Uncertainty Windup Computational modeling Simulation Velocity control Predictive models

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Speed Control of a Six-Phase IM with Reactive power Minimization for a Multi-Modular Matrix Converter Using an Inner PTC

Speed Control of a Six-Phase IM with Reactive Power Minimiza...

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IEEE International Conference on Automatica (ICA-ACCA)

作者： E. Maqueda S. Toledo D. Caballero M. Ayala E. Quiñonez R. Romero R. Gregor M. Rivera Laboratory of Power and Control Systems Faculty of Engineering Universidad Nacional de Asunción Luque CP Paraguay Department of Electrical Engineering Faculty of Engineering Universidad de Talca Curicó PB CHILE

ISBN: (纸本)9781665494090

This paper presents the speed control of a six-phase induction machine (SPIM) fed by a multi-modular matrix converter (M-MMC) with input source reactive power minimization, using predictive torque and electromagnetic flux control (PTC). This new system inherits the advantages of both multiphase machines (i.e fault tolerance and better power distribution per phase compared to three-phase machines) and those of M-MMC (i.e smaller size and weight, and no bulky storage elements). In addition, with the M-MMC topology it is possible to use two power generation sources of different characteristics instead of a single three-phase source. Results are provided for speed, torque and flux control of the SPIM and minimization of reactive power at the input source.

关键词： Reactive power Torque Velocity control Fault tolerant systems power distribution Minimization Topology

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Special Parabolic Equation of the Conductor Curve for the Use in Inclined Spans Based on the Given y-coordinate of the Low Point 4

Special Parabolic Equation of the Conductor Curve for the Us...

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4th IEEE International Conference and Workshop in Obuda on electrical and power engineering, CANDO-EPE 2021

作者： Hatibovic, Alen Kadar, Peter Morva, Gyorgy Optimum Solar Ltd. Renewable Energy Utilization Department of Electrical Engineering Baja Hungary Óbuda University Faculty of El. Eng. Department of Power Systems Alternative Energy Technologies Budapest Hungary Kálmán Kandó Faculty of El. Engineering Institute of Power Engineering Budapest Hungary

ISBN: (纸本)9781665420235

It is a known fact that in a frame of the parabola based calculation for overhead line design the equation of the conductor curve in a span can be defined if the span length, the coordinates of the support points and the maximum sag are known data. Naturally, as the conductor sag varies with the temperature, thus the conductor curve considerably changes. In other words, each temperature generates another sag and a belonging conductor curve. This is the base of a traditional method used when planning overhead lines. The current paper deals with built lines where the y-coordinate of the low point of the conductor can be defined by the use of special smart cameras or laser devices which are applicable for such a task. A new special equation of the parabolic conductor curve in an inclined span has been shown, which does not contain a maximum sag datum but the y-coordinate of the low point. It is worth mentioning that in the case of an inclined span in the existing line defining the y-coordinate of the low point is a much easier task than defining the maximum sag. The applicability of the new equation has been proved through a suitable practical example with the presentation of the numerical results. © 2021 IEEE.

关键词： Overhead lines

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Speed-Sensorless Predictive Direct Speed Control for PMSM Drives 8

Speed-Sensorless Predictive Direct Speed Control for PMSM Dr...

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8th Southern power Electronics Conference and the 17th Brazilian power Electronics Conference, SPEC / COBEP 2023

作者： Zerdali, Emrah Rivera, Marco Wheeler, Patrick Toledo, Sergio Ege University Department of Electrical and Electronics Engineering Izmir Turkey University of Nottingham Power Electronics and Machine Centre - Pemc Faculty of Engineering 15 Triumph Rd Lenton NottinghamNG7 2GT United Kingdom Vicerrectoría de Innovación Universidad de Talca Laboratorio de Conversión de Energías y Electrónica de Potencia - Lceep Merced 437 Curicó3341717 Chile Universidad Nacional de Asunción Laboratory of Power and Control Systems Luque2060 Paraguay

ISBN: (纸本)9798350321128

Predictive direct speed control (PDSC) of electric motors makes the control of both electrical and mechanical systems possible over a single control law by eliminating the cascade control structure. Speed-sensorless control also reduces the cost of electric drive while increasing system reliability. In this paper, a speed-sensorless PDSC-based permanent magnet synchronous motor (PMSM) drive is proposed, which combines the advantages of speed-sensorless control and the PDSC strategy. An extended Kalman filter (EKF) is designed to estimate stator currents, speed, position, and load torque. By using estimated stator currents in the prediction models of the PDSC, a reduction in current/torque ripples is achieved. Additionally, EKF uses a PMSM model defined in the stator stationary reference frame to eliminate the adverse effect of the initial position estimation errors. The proposed drive system is tested in different operating conditions, and finally, satisfactory control performance is achieved overall. © 2023 IEEE.

关键词： Model predictive control permanent magnet synchronous motor predictive direct speed control speed-sensorless control

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Wind Turbines Analysis and Analytics of power Generation by using Long Short Term Memory

Wind Turbines Analysis and Analytics of Power Generation by ...

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International Youth Conference on Radio Electronics, electrical and power engineering (REEPE)

作者： Shady A. Nagy Ziad O. Yousef Mohamed A. Tolba Mathematics Department Faculty of Engineering German University Cairo Egypt Computer and Systems Department Faculty of Engineering Fayoum University Fayoum Egypt Electrical Power Systems Department National Research University «MPEI» Moscow Russian Federation Reactors Department Nuclear Research Center Egyptian Atomic Energy Authority Cairo Egypt

In this paper, the study of the behavior of wind turbines and its power generation in Germany that an important source for renewable energy is investigated. This work develops a deep learning recurrent neural model that depends on time series modeling to predict the power generation of wind turbines (WT) in every ten mins in a daily basis, and seasonal behavior. The proposed model uses previous historical power data from the turbines and the dependency of short-term points and long-term behavior that common in time series with its probabilistic behavior. However, WT power generation depends on wind speed, torque, gearbox state, temperature that are highly correlated to power generated and WT state in generation, but time series modeling uses the historical previous power generated only to forecast the future behavior that behaves in a pattern similar to the previous corresponding time frame. The comprehensive analysis is implemented to evaluate the suggested model with previous data and then forecast the power generated in the last months of the year.

关键词： Productivity Analytical models Machine learning algorithms Time series analysis Predictive models Data models Wind turbines

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Predictive Direct Speed Control of PMSM without Weighting Factors 8

Predictive Direct Speed Control of PMSM without Weighting Fa...

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8th Southern power Electronics Conference and the 17th Brazilian power Electronics Conference, SPEC / COBEP 2023

作者： Zerdali, Emrah Rivera, Marco Wheeler, Patrick Toledo, Sergio Ege University Department of Electrical and Electronics Engineering Izmir Turkey Power Electronics and Machine Centre-PEMC University of Nottingham Faculty of Engineering 15 Triumph Rd Lenton NottinghamNG7 2GT United Kingdom Vicerrectoría de Innovación Universidad de Talca Laboratorio de Conversión de Energías y Electrónica de Potencia - Lceep Merced 437 Curicó3341717 Chile Universidad Nacional de Asunción Laboratory of Power and Control Systems Luque2060 Paraguay

ISBN: (纸本)9798350321128

Predictive direct speed control (PDSC) of electric drives eliminates the cascade control structure and provides faster speed and current/torque response, but suffers from the selection of weighting factors (WFs). This paper proposes a PDSC strategy without WFs for permanent magnet synchronous motor (PMSM) drives. The proposed method evaluates each control objective separately and decides on the optimum voltage vector using normalized Euclidean distances in n-dimensional space generated by the objective functions. Simulation results show that it provides good control performance in different operating conditions with its inherent overcurrent protection feature while simplifying the design process. Finally, the proposed method overcomes the difficulty of WF selection in the traditional PDSC strategy with a slight additional computational load and also improves the overall control performance. © 2023 IEEE.

关键词： Model predictive control permanent magnet synchronous motor predictive direct speed control weighting factors

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A New Optimal Centralized Demand Side Management for a Campus Smart Microgrid

A New Optimal Centralized Demand Side Management for a Campu...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Mohamed A. Hassan Abdelfattah A. Eladl Bishoy E. Sedhom Mohammed A. Saeed Interdisciplinary Research Center for Renewable Energy and Power Systems (IRCREPS) Research Institute King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Electrical Engineering Department Faculty of Engineering Mansoura University El-Mansoura Egypt

Based on demand response and energy theft detection, a novel optimal demand side management (DSM) is proposed for a smart microgrid (SMG). A campus SMG containing photovoltaic (PV), wind turbine, diesel station, smart meters, inverters, batteries, sensors, domestic loads, and central} {DSM unit is built in MATLAB. The SMG elements are communicated using Wi-Fi protocol and internet of things (IoT) technology. The proposed DSM is optimally designed using Grey Wolf Optimization (GWO) to minimize the customer’s electricity bill, maximize the user comfort, and obtain the optimal load patterns in the hypothetical campus SMGs. It inspires consumers to alter their daily consumption patterns over a variable tariff according to real-time pricing (RTP), time of use (ToU), and critical peak pricing (CPP) methods. The results proved the proposed technique effectiveness for reducing the user’s electricity bill and conserving utility resources through energy theft detection. Finally, the proposed GWO technique is compared with firefly algorithm (FFA) and bacteria foraging algorithm (BFA) to verify its superiority.

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