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2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe)

作者： Kirby, B. Zou, L. Cao, J. Kamwa, I. Heniche, A. Dobrescu, M. Alstom Grid UK St Leonards Ave Stafford ST17 4LX England Inst Rech Hydroquebec IREQ Varennes PQ J3X 1S1 Canada

ISBN: (纸本)9781457714214

This paper describes the development of an out of step relay using model based design (MBD) approach. Results of simulation testing on the model and target are also discussed. The predictive out of step algorithm is used to detect severe power swings and out of step conditions between different sections of a power system. To satisfy the functional specifications, the instability detection must be done in a rapid, reliable and safe way. The development of this device has been carried out in collaboration with Hydro-Quebec. The predictive out of step detection is realized by using fuzzy logic, which processes variables derived from the voltage and current on the transmission line. System level modeling and simulation has been done in Matlab / Simulink. Automated code generation has been used to produce the target software. Target implementation has been successful on the hardware platform.

关键词： Out of step relay instability detection fuzzy logic algorithm model based design

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Traffic Crash Modeling Considering Inconsistent Observations, Interaction Behavior, and Nonlinear Relationships

Traffic Crash Modeling Considering Inconsistent Observations...

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作者： Lao, Yunteng University of Washington

学位级别：Ph.D.

Traffic collisions are a worldwide issue that can cause injury and death, which leads to billions of dollars in damages every year. Significant research efforts have been undertaken to develop and utilize statistical modeling techniques for analyzing the characteristics of crash count data. While these modeling techniques have been providing meaningful outputs, improvements on these modeling methods still need to better understand the crash risk and the contributing factors. Five important issues in crash data modeling are identified in this research. The first two issues are over or under dispersion with crash data and excess zeros within crash records. Considering that they have been well studied in the previous research, this study focuses on the remaining three major issues. The first one is relevant to the partial observations of multiple processes, i.e. crash data may be collected by different agencies that create multiple data sources and may be inconsistent. A modeling mechanism that takes advantage of all datasets for better estimation results is highly desirable. The second one is an interaction issue. Some collisions are single vehicle crashes, such as off-road crashes and rollover incidents, and some collisions involve interaction behavior, such as the Animal-Vehicle Collision (AVC) and the Vehicle-Vehicle Collision. The characteristics of crashes with interaction behavior are different from those with only one vehicle involved. It is challenging to develop a crash modeling scheme that can capture the interaction behavior. The last one is the nonlinear relationship issue. Most previous collision models are Generalized Linear Model-based (GLM-based) approaches. Such GLM-based approaches are constrained by their linear model specifications because, in most situations, the relationship between the crash rate and its contributing factors are not linear or may not even be monotonic. Thus, finding a way to model the collision data with nonlinear and non-monoto

关键词： Count data modeling Diagonal inflated bivariate Poisson regression fuzzy logic algorithm Generalized Linear Model Generalized Nonlinear Model Transportation safety Civil engineering

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Modeling and Analysis of a fuzzy Type MPPT algorithm 20

Modeling and Analysis of a Fuzzy Type MPPT Algorithm

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19th International Conference on Electrical Drives and Power Electronics (EDPE) / 9th Joint Slovakian-Croatian Conference

作者： Corcau, Jenica Ileana Dinca, Liviu Univ Craiova Dept Elect Energet & Aerosp Engn Craiova Romania

ISBN: (纸本)9781728103891

This paper presents a study on a MPPT (maximum power point tracker) which uses fuzzy control algorithm. Many algorithms were developed in the past few years to control the power obtained from a solar panel and optimize the panel performances in a large domain of functioning parameters. fuzzy logic algorithms have the advantage they do not need a mathematical model for the solar panel in order to implement the controller. A fuzzy controller for a solar panel is obtained, implemented in MATLAB/SIMPOWERSYS and its functioning is studied by numerical simulations. Good results were obtained, power consumed by the load being very close to maximum power solar panel can achieve. That means this type of MPPT keeps the solar panel very close to the optimum functioning point.

关键词： MPPT solar panel fuzzy logic algorithm mathematical model

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Control and Power Management of Battery-PEM Fuel Cell Hybrid Power System for Marine Propulsion Systems

Control and Power Management of Battery-PEM Fuel Cell Hybrid...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Jamma, Mustapha Bujlo, Piotr Ulleberg, Øystein Institute for Energy Technology Instituttveien 18 Kjeller2007 Norway

ISBN: (纸本)9781665471640

To reduce the air pollution and greenhouse gas emissions in harbors and coastal areas, the propulsion systems of maritime transport, and harbor operations, and services, should be driven by zero-emission power systems. Hence, the development of a zero-emission systems, such as, a hybrid battery-fuel cell system, with an appropriately designed control system is essential to accurately manage the energy between the proton-exchange membrane fuel cells (PEMFCs), batteries, and loads. In this work, a hybrid power system based on PEMFCs and lithium-ion batteries for marine propulsion systems is proposed. An energy management strategy (EMS) based on a fuzzy logic approach and rule-based technique is developed to stabilize the DC bus voltage at the required constant value, properly control the power distribution between the hybrid system components to meet the required power demand of the loads and minimize fuel cell degradation. The overall system is modeled under MATLAB/Simulink environment. Finally, the results are discussed, and the suitability of the suggested hybrid power system and EMS is justified. © 2023 IEEE.

关键词： energy management system fuzzy logic algorithm hybrid power system PEM fuel cell zero-emission mobility

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Risk-Aware Path Planning for Autonomous Vehicles

Risk-Aware Path Planning for Autonomous Vehicles

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作者： Gaeini, Shaghayegh Northern Illinois University

学位级别：M.S., Master of Science/Master of Surgery

Autonomous vehicles have been the subject of intense research leading to great improvements in safety, comfort, accessibility, efficiency, etc. Path planning which provides the autonomous vehicle with a smooth, collision-free, and safe path towards its destination, is a crucial part of autonomous vehicles (AVs). Various path planning techniques have been developed in the past decades that can successfully plan a smooth and safe path in various driving scenarios. Nevertheless, these algorithms perform poorly in critical situations where the vehicle needs to quickly make a decision. To address this issue, a couple of algorithms have been proposed to replace the AV’s conventional path planning algorithm in situations with high a risk of collision as none of the current algorithms are efficient enough to perform the complete path planning for the vehicle. This study proposes a novel risk-aware planning method based on trajectory generation in the Frenet framework which is capable of planning a smooth, safe, and collision-free path for the AV in normal and critical driving situations. This algorithm works based on generating and evaluating a set of potential trajectories using a proposed cost function based on the lateral deviation, time, speed limit, and risk of trajectories. This is determined using a novel risk assessment method based on fuzzy logic algorithms. Achieving a reliable path planning method that performs efficiently in complex environments such as highways, is a key factor. Therefore, a prediction algorithm has been developed in this study to estimate the position, velocity, and trajectory of obstacles in the surrounding environment of the ego vehicle. This thesis concludes that the proposed risk-aware path planning method builds safe, smooth, and efficient trajectories that follow the desired path, estimate the position and velocity of surrounding vehicles, and avoid collisions in various normal or high-risk scenarios.

关键词： Autonomous vehicles Frenet coordinates fuzzy logic algorithm Path planning Risk assessment system Trajectory generation

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SOC Balancing and Coordinated Control Based on Adaptive Droop Coefficient algorithm for Energy Storage Units in DC Microgrid

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ENERGIES 2022年第8期15卷 2943页

作者： Tian, Guizhen Zheng, Yuding Liu, Guangchen Zhang, Jianwei Inner Mongolia Univ Technol Coll Elect Power Hohhot 010080 Peoples R China Inner Mongolia Reg Key Lab Elect Power Convers Tr Hohhot 010080 Peoples R China

In order to achieve a state-of-charge (SOC) balance among multiple energy storage units (MESUs) in an islanded DC microgrid, a SOC balancing and coordinated control strategy based on the adaptive droop coefficient algorithm for MESUs is proposed. When the SOC deviation is significant, the droop coefficient for an energy storage unit (ESU) with a higher (or lower) SOC is set to a minimum value when discharging (or charging). The ESU with the higher (or lower) SOC is controlled to discharge (or charge) with the rated power, while the other ESU compensates for the remaining power when the demanded discharging (or charging) power is greater than the rated power of the individual ESU. Otherwise, when the demanded discharging (or charging) power is lower than the rated power of either ESU, the ESU with the higher (or lower) SOC releases (or absorbs) almost all the required power while the other ESU barely absorbs or releases power, thus quickly realizing SOC balancing. When the SOC deviation is slight, the fuzzy logic algorithm dynamically adjusts the droop coefficient and changes the power distribution relationship to balance the SOC accurately. Furthermore, a bus voltage recovery control scheme is employed to regulate the bus voltage, thus improving the voltage quality. The energy coordinated management strategy is adopted to ensure the power balance and stabilize the bus voltage in the DC microgrid. A simulation model is built in MATLAB/Simulink, and the simulation results demonstrate the effectiveness of the proposed control strategy in achieving fast and accurate SOC balance and regulating the bus voltage.

关键词： DC microgrid coordinated control energy management SOC balancing droop control fuzzy logic algorithm

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A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods

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IEEE ACCESS 2020年 8卷 154560-154572页

作者： Su, Yishan Zhang, Lin Li, Yun Yao, Xing Tianjin Univ Dept Elect & Informat Engn Tianjin 300072 Peoples R China Guilin Univ Aerosp Technol Guilin 541004 Peoples R China

In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the fuzzy logic algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime.

关键词： Routing Routing protocols Trajectory Relays Underwater acoustics Delays Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering

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Enhancing Identification of Meteorological and Biological Targets Using the Depolarization Ratio for Weather Radar: A Case Study of FAW Outbreak in Rwanda

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REMOTE SENSING 2024年第14期16卷 2509-2509页

作者： Maniraguha, Fidele Vodacek, Anthony Kim, Kwang Soo Ndashimye, Emmanuel Rushingabigwi, Gerard Univ Rwanda African Ctr Excellence Internet Things KN 67 StPOB 3900 Kigali Rwanda Rwanda Meteorol Agcy Technol & Informat Syst Div KN 96 StPOB 898 Kigali Rwanda Rochester Inst Technol Chester F Carlson Ctr Imaging Sci Rochester NY 14623 USA Seoul Natl Univ Dept Agr Forestry & Bioresources Seoul 08826 South Korea Carnegie Mellon Univ Africa Dept Informat & Commun Technol Kigali 10000 Rwanda Univ Rwanda Dept Elect & Elect Engn EEE KN 67 StPOB 3900 Kigali Rwanda

Leveraging weather radar technology for environmental monitoring, particularly the detection of biometeors like birds, bats, and insects, presents a significant challenge due to the dynamic nature of their behavior. Unlike hydrometeor targets, biometeor targets exhibit arbitrary changes in direction and position, which significantly alter radar wave polarization upon scattering. This study addresses this challenge by introducing a novel methodology utilizing Rwanda's C-Band Polarization Radar. Our approach exploits the capabilities of dual-polarization radar by analyzing parameters such as differential reflectivity (ZDR) and correlation coefficient (RHOHV) to derive the Depolarization Ratio (DR). While existing radar metrics offer valuable insights, they have limitations in fully capturing depolarization effects. To address this, we propose an advanced fuzzy logic algorithm (FL_DR) integrating the DR parameter. The FL_DR's performance was rigorously evaluated against a standard FL algorithm. Leveraging a substantial dataset comprising nocturnal clear air radar echoes collected during a Fall Armyworm (FAW) outbreak in maize fields from September 2020 to January 2021, the FL_DR demonstrated a notable improvement in accuracy compared to the existing FL algorithm. This improvement is evident in the Fraction of Echoes Correctly Identified (FEI), which increased from 98.42% to 98.93% for biological radar echoes and from 87.02% to 95.81% for meteorological radar echoes. This enhanced detection capability positions FL_DR as a valuable system for monitoring, identification, and warning of environmental phenomena in regions similar to tropical areas facing FAW outbreaks. Additionally, it could be tested and further refined for other migrating biological targets such as birds, insects, or bats.

关键词： depolarization ratio (DR) fuzzy logic algorithm fall armyworm (FAW) detection weather radar FAW early warning system

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An approach towards selective harmonic elimination switching pattern of cascade switched capacitor twenty nine-level inverter using artificial bee colony algorithm

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MICROPROCESSORS AND MICROSYSTEMS 2020年 79卷 103292-103292页

作者： Ramesh, A. Sait, H. Habeebullah Dr Pauls Engn Coll Dept Elect & Elect Engn Villupuram Tamil Nadu India Anna Univ Dept Elect & Elect Engn BIT Campus Tiruchirappalli Tamil Nadu India

This paper introduces harmonic removal in a Switched capacitor multilevel inverter utilizing artificial bee colony (ABC) method. The main focus is to neglect lower order harmonics by resolving nonlinear equation. In our paper, ABC algorithm is enforced to a twenty nine level inverter for resolving the equation. Selective Harmonics Elimination PWM is mainly used in lower order harmonics suppression. The MLI gets input from the SEPIC converter that comprises of Photo Voltaic Module as a source of generation. The PV panel output voltage is maintained constantly with a greater gain DC-DC SEPIC converter. Hence to obtain high power from the PV system, gray Wolf Optimization technique and fuzzy logic control is used. The high frequency modulation technique i.e. Multi Carrier modulation technique is too applied in the proposed new topology for reducing the higher order harmonics. The proposed ABC harmonics elimination technique is also compared with genetic algorithm based SHE method. MATLAB simulation platform is utilized to simulate the module. The experimental verification of the proposed work was done using DSPIC30F2010 controller.

关键词： Switched capacitor multi level inverter SEPIC converter Selective harmonics elimination MPPT algorithm GWO algorithm fuzzy logic algorithm ABC algorithm DSPIC controller

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Rolling Guide Filtering and Non-subsampled Contourlet Transform for Fusion of Visible and Infrared Images

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淡江理工学刊 2020年第4期23卷 687-694页

作者： Xiaodong Wang Hongyou Chen

Image fusion is essentially an image enhancement technology, which aims to generate fusion images with richer information and more features by extracting complementary information from images collected by different sensors (such as infrared and visible light) or the same sensor (such as multi-focus image). For the fusion of infrared and visible images, it is easy to produce problems such as missing detail information and suppressing less noise. In this paper, we propose a Visible and Infrared Images fusion method by combining Non-subsampled Contourlet Transform (NSCT) and rolling guide filtering. First, fuzzy logic algorithm is used to enhance the contrast of visible image and highlight the effective information of image. Second, the enhanced visible and infrared images are decomposed by NSCT to obtain the low frequency and high frequency sub-bands. The improved rolling guide filter is used to enhance the edge and other details of the high frequency sub-band of infrared image. Third, mean gradient strategy and fuzzy logic strategy are used to fuse high and low frequency sub-bands, respectively. Experiments show that the proposed fusion method has better results than other state-of-the-art methods in terms of information entropy, standard deviation, and mutual information.

关键词： Image fusion NSCT Rolling guide filtering fuzzy logic algorithm

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