Discriminación del estado de la carretera mediante procesado acústico en vehículo

La rápida adopción de dispositivos electrónicos en el automóvil, ha contribuido a mejorar en gran medida la seguridad y el confort. Desde principios del siglo 20, la investigación en sistemas de seguridad activa ha originado el desarrollo de tecnologías como ABS (Antilock Brake System), TCS (Traction Control System) y ESP (Electronic Stability Program). El coste de despliegue de estos sistemas es crítico: históricamente, sólo han sido ampliamente adoptados cuando el precio de los sensores y la electrónica necesarios para su construcción ha caído hasta un valor marginal. Hoy en día, los vehículos a motor incluyen un amplio rango de sensores para implementar las funciones de seguridad. La incorporación de sistemas que detecten la presencia de agua, hielo o nieve en la vía es un factor adicional que podría ayudar a evitar situaciones de riesgo. Existen algunas implementaciones prácticas capaces de detectar carreteras mojadas, heladas y nevadas, aunque con limitaciones importantes. En esta tesis doctoral, se propone una aproximación novedosa al problema, basada en el análisis del ruido de rodadura generado durante la conducción. El ruido de rodadura es capturado y preprocesado. Después es analizado utilizando un clasificador basado en máquinas de vectores soporte (SVM), con el fin de generar una estimación del estado del firme. Todas estas operaciones se realizan en el propio vehículo. El sistema propuesto se ha desarrollado y evaluado utilizando Matlabr, mostrando tasas de aciertos de más del 90%. Se ha realizado una implementación en tiempo real, utilizando un prototipo basado en DSP. Después se han introducido varias optimizaciones para permitir que el sistema sea realizable usando un microcontrolador de propósito general. Finalmente se ha realizado una implementación hardware basada en un microcontrolador, integrándola estrechamente con las ECU del vehículo, pudiendo obtener datos capturados por los sensores del mismo y enviar las estimaciones del estado del firme. El sistema resultante ha sido patentado, y destaca por su elevada tasa de aciertos con un tamaño, consumo y coste reducidos. ABSTRACT Proliferation of automotive electronics, has greatly improved driving safety and comfort. Since the beginning of the 20th century, investigation in active safety systems has resulted in the development of technologies such as ABS (Antilock Brake System), TCS (Traction Control System) and ESP (Electronic Stability Program). Deployment cost of these systems is critical: historically, they have been widely adopted only when the price of the sensors and electronics needed to build them has been cut to a marginal value. Nowadays, motor vehicles include a wide range of sensors to implement the safety functions. Incorporation of systems capable of detecting water, ice or snow on the road is an additional factor that could help avoiding risky situations. There are some implementations capable of detecting wet, icy and snowy roads, although with important limitations. In this PhD Thesis, a novel approach is proposed, based on the analysis of the tyre/road noise radiated during driving. Tyre/road noise is captured and pre-processed. Then it is analysed using a Support Vector Machine (SVM) based classifier, to output an estimation of the road status. All these operations are performed on-board. Proposed system is developed and evaluated using Matlabr, showing success rates greater than 90%. A real time implementation is carried out using a DSP based prototype. Several optimizations are introduced enabling the system to work using a low-cost general purpose microcontroller. Finally a microcontroller based hardware implementation is developed. This implementation is tightly integrated with the vehicle ECUs, allowing it to obtain data captured by its sensors, and to send the road status estimations. Resulting system has been patented, and is notable because of its high hit rate, small size, low power consumption and low cost.

Sistema de control de tracción y salida para un monoplaza de la Fórmula SAE

En este proyecto de final de carrera se detalla el proceso de diseño, fabricación, montaje y ajuste de un dispositivo electrónico que sirva como sistema de control de tracción de un vehículo y que acoplaremos sobre un monoplaza de carreras que participa en la competición Formula SAE. La Formula SAE (Society of Automotive Engineers - Sociedad de Ingenieros de Automoción), es una competición de coches de carreras monoplaza a nivel universitario que promueve el desarrollo de la ingeniera aplicada a la automoción. Se pretende que este libro sirva de guía para el correcto manejo y desempeño del sistema fabricado. Además se ha pretendido que su lectura resulte fácil y comprensible para que la persona que lea este libro sea capaz de entender el sistema realizado para así poderlo mejorar. Gracias a la colaboración entre la Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación (ETSIST) de la Universidad Politécnica de Madrid (UPM), la Escuela de Ingenieros Industriales de esta misma Universidad (ETSII) y el Instituto Universitario de Investigación del Automóvil (INSIA), se sientan las bases de una plataforma docente en la cual se posibilita la formación y desarrollo de un vehículo tipo formula que participa en la ya mencionada competición Formula SAE. Para ello, se formo en el 2003 el equipo UPMRacing, primer representante español en el evento. El equipo se compone de más de 50 alumnos de la UPM y del Máster de Ingeniería en Automoción del INSIA. Es por tanto, en el vehículo fabricado por el equipo UPMRacing, en el que se pretende instalar este sistema de control de tracción. El control de tracción es un sistema de seguridad del automóvil diseñado para prevenir la perdida de adherencia cuando alguna rueda presenta deslizamiento, bien porque el conductor se excede en la aceleración o bien porque el firme este resbaladizo. La unidad de procesamiento del sistema de control de tracción fabricado lee la velocidad de cada rueda del vehículo mediante unos sensores y determina si existe deslizamiento, en tal caso, manda una señal a la centralita para disminuir la potencia hasta que el deslizamiento disminuya a unos valores controlados. El sistema cuenta con un control remoto que sirve como interfaz para que el piloto pueda manejarlo. Por ultimo, el dispositivo es capaz de conectarse a un bus de comunicaciones CAN para configurar ciertos parámetros. El objetivo del sistema es, básicamente, hacer que el coche no derrape en aceleraciones fuertes; concretamente en las salidas desde parado y al tomar una curva, aumentando así la velocidad en circuito y la seguridad del piloto. ABSTRACT. The purpose of this project is to describe the design, manufacture, assembly and adjustment processes of an electronic device acting as the traction control system (TCS) of a vehicle, that we will attach to a single-seater competition formula SAE car. The Formula SAE (Society of Automotive Engineers) is a graduate-level singleseater racing car competition promoting the development of automotive applied engineering. We also intend this work to serve as a technical user guide of the manufactured system. It is drafted clearly and concisely so that it will be easy for all those to whom it is addressed to understand and subject to further improvements. The close partnership among the Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación (ETSIST), Escuela de Ingenieros Industriales (ETSII) of Universidad Politécnica de Madrid (UPM), and the Instituto Universitario de Investigación del Automóvil (INSIA), lays the foundation of a teaching platform enabling the training and development of a single-seater racing car taking part in the already mentioned Formula SAE competition. In this respect, UPMRacing team was created back in 2003, first spanish representative in this event. The team consists of more than 50 students of the UPM and of INSIA Master in Automotive Engineering. It is precisely the vehicle manufactured by UPMRacing team where we intend to install our TCS. TCS is an automotive safety system designed to prevent loss of traction when one wheel has slip, either because the driver exceeds the acceleration or because the firm is slippery. The device’s central processing unit is able to detect the speed of each wheel of the vehicle via special sensors and to determine wheel slip. If this is the case, the system sends a signal to the ECU of the vehicle to reduce the power until the slip is also diminished to controlled values. The device has a remote control that serves as an interface for the pilot to handle it. Lastly, the device is able to connect to a communication bus system CAN to set up certain parameters. The system objective is to prevent skidding under strong acceleration conditions: standing-start from the starting grid or driving into a curve, increasing the speed in circuit and pilot’s safety.

Validation Study of the Use of Matlab/Simulink Synchronous-Machine Block for Accurate Power-Plant Stability Studies

This paper presents results of the validity study of the use of MATLAB/Simulink synchronous-machine block for power-system stability studies. Firstly, the waveforms of the theoretical synchronous-generator short-circuit currents are described. Thereafter, the comparison between the currents obtained through the simulation model in the sudden short-circuit test, are compared to the theoretical ones. Finally, the factory tests of two commercial generating units are compared to the response of the synchronous generator simulation block during sudden short-circuit, set with the same real data, with satisfactory results. This results show the validity of the use of this generator block for power plant simulation.

Frequency control support of a wind-solar isolated system by a hydropower plant with long tail-race tunnel

Pumped storage hydro plants (PSHP) can provide adequate energy storage and frequency regulation capacities in isolated power systems having significant renewable energy resources. Due to its high wind and solar potential, several plans have been developed for La Palma Island in the Canary archipelago, aimed at increasing the penetration of these energy sources. In this paper, the performance of the frequency control of La Palma power system is assessed, when the demand is supplied by the available wind and solar generation with the support of a PSHP which has been predesigned for this purpose. The frequency regulation is provided exclusively by the PSHP. Due to topographic and environmental constraints, this plant has a long tail-race tunnel without a surge tank. In this configuration, the effects of pressure waves cannot be neglected and, therefore, usual recommendations for PID governor tuning provide poor performance. A PI governor tuning criterion is proposed for the hydro plant and compared with other criteria according to several performance indices. Several scenarios considering solar and wind energy penetration have been simulated to check the plant response using the proposed criterion. This tuning of the PI governor maintains La Palma system frequency within grid code requirements.

Hybrid wind-diesel power plant valuation and optimization using real option theory and dynamic programming

El sistema de energía eólica-diesel híbrido tiene un gran potencial en la prestación de suministro de energía a comunidades remotas. En comparación con los sistemas tradicionales de diesel, las plantas de energía híbridas ofrecen grandes ventajas tales como el suministro de capacidad de energía extra para "microgrids", reducción de los contaminantes y emisiones de gases de efecto invernadero, y la cobertura del riesgo de aumento inesperado del precio del combustible. El principal objetivo de la presente tesis es proporcionar nuevos conocimientos para la evaluación y optimización de los sistemas de energía híbrido eólico-diesel considerando las incertidumbres. Dado que la energía eólica es una variable estocástica, ésta no puede ser controlada ni predecirse con exactitud. La naturaleza incierta del viento como fuente de energía produce serios problemas tanto para la operación como para la evaluación del valor del sistema de energía eólica-diesel híbrido. Por un lado, la regulación de la potencia inyectada desde las turbinas de viento es una difícil tarea cuando opera el sistema híbrido. Por otro lado, el bene.cio económico de un sistema eólico-diesel híbrido se logra directamente a través de la energía entregada a la red de alimentación de la energía eólica. Consecuentemente, la incertidumbre de los recursos eólicos incrementa la dificultad de estimar los beneficios globales en la etapa de planificación. La principal preocupación del modelo tradicional determinista es no tener en cuenta la incertidumbre futura a la hora de tomar la decisión de operación. Con lo cual, no se prevé las acciones operativas flexibles en respuesta a los escenarios futuros. El análisis del rendimiento y simulación por ordenador en el Proyecto Eólico San Cristóbal demuestra que la incertidumbre sobre la energía eólica, las estrategias de control, almacenamiento de energía, y la curva de potencia de aerogeneradores tienen un impacto significativo sobre el rendimiento del sistema. En la presente tesis, se analiza la relación entre la teoría de valoración de opciones y el proceso de toma de decisiones. La opción real se desarrolla con un modelo y se presenta a través de ejemplos prácticos para evaluar el valor de los sistemas de energía eólica-diesel híbridos. Los resultados muestran que las opciones operacionales pueden aportar un valor adicional para el sistema de energía híbrida, cuando esta flexibilidad operativa se utiliza correctamente. Este marco se puede aplicar en la optimización de la operación a corto plazo teniendo en cuenta la naturaleza dependiente de la trayectoria de la política óptima de despacho, dadas las plausibles futuras realizaciones de la producción de energía eólica. En comparación con los métodos de valoración y optimización existentes, el resultado del caso de estudio numérico muestra que la política de operación resultante del modelo de optimización propuesto presenta una notable actuación en la reducción del con- sumo total de combustible del sistema eólico-diesel. Con el .n de tomar decisiones óptimas, los operadores de plantas de energía y los gestores de éstas no deben centrarse sólo en el resultado directo de cada acción operativa, tampoco deberían tomar decisiones deterministas. La forma correcta es gestionar dinámicamente el sistema de energía teniendo en cuenta el valor futuro condicionado en cada opción frente a la incertidumbre. ABSTRACT Hybrid wind-diesel power systems have a great potential in providing energy supply to remote communities. Compared with the traditional diesel systems, hybrid power plants are providing many advantages such as providing extra energy capacity to the micro-grid, reducing pollution and greenhouse-gas emissions, and hedging the risk of unexpected fuel price increases. This dissertation aims at providing novel insights for assessing and optimizing hybrid wind-diesel power systems considering the related uncertainties. Since wind power can neither be controlled nor accurately predicted, the energy harvested from a wind turbine may be considered a stochastic variable. This uncertain nature of wind energy source results in serious problems for both the operation and value assessment of the hybrid wind-diesel power system. On the one hand, regulating the uncertain power injected from wind turbines is a difficult task when operating the hybrid system. On the other hand, the economic profit of a hybrid wind-diesel system is achieved directly through the energy delivered to the power grid from the wind energy. Therefore, the uncertainty of wind resources has increased the difficulty in estimating the total benefits in the planning stage. The main concern of the traditional deterministic model is that it does not consider the future uncertainty when making the dispatch decision. Thus, it does not provide flexible operational actions in response to the uncertain future scenarios. Performance analysis and computer simulation on the San Cristobal Wind Project demonstrate that the wind power uncertainty, control strategies, energy storage, and the wind turbine power curve have a significant impact on the performance of the system. In this dissertation, the relationship between option pricing theory and decision making process is discussed. A real option model is developed and presented through practical examples for assessing the value of hybrid wind-diesel power systems. Results show that operational options can provide additional value to the hybrid power system when this operational flexibility is correctly utilized. This framework can be applied in optimizing short term dispatch decisions considering the path-dependent nature of the optimal dispatch policy, given the plausible future realizations of the wind power production. Comparing with the existing valuation and optimization methods, result from numerical example shows that the dispatch policy resulting from the proposed optimization model exhibits a remarkable performance in minimizing the total fuel consumption of the wind-diesel system. In order to make optimal decisions, power plant operators and managers should not just focus on the direct outcome of each operational action; neither should they make deterministic decisions. The correct way is to dynamically manage the power system by taking into consideration the conditional future value in each option in response to the uncertainty.

Fault location in power distribution networks with distributed generation.

This research presents the development and implementation of fault location algorithms in power distribution networks with distributed generation units installed along their feeders. The proposed algorithms are capable of locating the fault based on voltage and current signals recorded by intelligent electronic devices installed at the end of the feeder sections, information to compute the loads connected to these feeders and their electric characteristics, and the operating status of the network. In addition, this work presents the study of analytical models of distributed generation and load technologies that could contribute to the performance of the proposed fault location algorithms. The validation of the algorithms was based on computer simulations using network models implemented in ATP, whereas the algorithms were implemented in MATLAB.

Particle Swarm Optimization Based Reactive Power Dispatch for Power Networks with Distributed Generation

Reactive power is critical to the operation of the power networks on both safety aspects and economic aspects. Unreasonable distribution of the reactive power would severely affect the power quality of the power networks and increases the transmission loss. Currently, the most economical and practical approach to minimizing the real power loss remains using reactive power dispatch method. Reactive power dispatch problem is nonlinear and has both equality constraints and inequality constraints. In this thesis, PSO algorithm and MATPOWER 5.1 toolbox are applied to solve the reactive power dispatch problem. PSO is a global optimization technique that is equipped with excellent searching capability. The biggest advantage of PSO is that the efficiency of PSO is less sensitive to the complexity of the objective function. MATPOWER 5.1 is an open source MATLAB toolbox focusing on solving the power flow problems. The benefit of MATPOWER is that its code can be easily used and modified. The proposed method in this thesis minimizes the real power loss in a practical power system and determines the optimal placement of a new installed DG. IEEE 14 bus system is used to evaluate the performance. Test results show the effectiveness of the proposed method.

Energy Transition in Europe’s Power House. Alleingang, avant-garde or blackout? IES Policy Brief Issue 2012/03/October 2012

Summary. The transformation of Germany’s energy sector will further exacerbate current network fluctuations and intensify the need for modifications in Europe’s power system. Cross-border power transfers will have to increase in order to overcome national limitations for absorbing large volumes of intermittent renewables like wind and solar power. In order to establish such an infrastructure on a European scale, the energy transition needs to be guided by an economic approach designed to prevent further fractures in the Internal Electricity Market. Moreover, constructive negotiations with neighbouring countries on market designs and price signals will be important preconditions for a successful energy transition in Europe.

System Costs of Variable Renewable Energy in the European Union. Bruges European Economic Policy (BEEP) Briefings 37/2015

To shift to a low-carbon economy, the EU has been encouraging the deployment of variable renewable energy sources (VRE). However, VRE lack of competitiveness and their technical specificities have substantially raised the cost of the transition. Economic evaluations show that VRE life-cycle costs of electricity generation are still today higher than those of conventional thermal power plants. Member States have consequently adopted dedicated policies to support them. In addition, Ueckerdt et al. (2013) show that when integrated to the power system, VRE induce supplementary not-accounted-for costs. This paper first exposes the rationale of EU renewables goals, the EU targets and current deployment. It then explains why the LCOE metric is not appropriate to compute VRE costs by describing integration costs, their magnitude and their implications. Finally, it analyses the consequences for the power system and policy options. The paper shows that the EU has greatly underestimated VRE direct and indirect costs and that policymakers have failed to take into account the burden caused by renewable energy and the return of State support policies. Indeed, induced market distortions have been shattering the whole power system and have undermined competition in the Internal Energy Market. EU policymakers can nonetheless take full account of this negative trend and reverse it by relying on competition rules, setting-up a framework to collect robust EU-wide data, redesigning the architecture of the electricity system and relying on EU regulators.

Dynamics of loads on power systems using field measurements /

"May 1984."

Operations and Planning in Sustainable Power Systems

Thesis (Ph.D.)--University of Washington, 2016-06

Modelling of induction motors for system faults and transient stability studies

The research carried out in this thesis was mainly concerned with the effects of large induction motors and their transient performance in power systems. Computer packages using the three phase co-ordinate frame of reference were developed to simulate the induction motor transient performance. A technique using matrix algebra was developed to allow extension of the three phase co-ordinate method to analyse asymmetrical and symmetrical faults on both sides of the three phase delta-star transformer which is usually required when connecting large induction motors to the supply system. System simulation, applying these two techniques, was used to study the transient stability of a power system. The response of a typical system, loaded with a group of large induction motors, two three-phase delta-star transformers, a synchronous generator and an infinite system was analysed. The computer software developed to study this system has the advantage that different types of fault at different locations can be studied by simple changes in input data. The research also involved investigating the possibility of using different integrating routines such as Runge-Kutta-Gill, RungeKutta-Fehlberg and the Predictor-Corrector methods. The investigation enables the reduction of computation time, which is necessary when solving the induction motor equations expressed in terms of the three phase variables. The outcome of this investigation was utilised in analysing an introductory model (containing only minimal control action) of an isolated system having a significant induction motor load compared to the size of the generator energising the system.

A review of the effects of distributed energy resources and power-electronic controlled loading on distribution network stability

This paper looks at potential distribution network stability problems under the Smart Grid scenario. This is to consider distributed energy resources (DERs) e.g. renewable power generations and intelligent loads with power-electronic controlled converters. The background of this topic is introduced and potential problems are defined from conventional power system stability and power electronic system stability theories. Challenges are identified with possible solutions from steady-state limits, small-signal, and large-signal stability indexes and criteria. Parallel computation techniques might be included for simulation or simplification approaches are required for a largescale distribution network analysis.

DC power line communication based on power/signal dual modulation in phase shift full bridge converters

For intelligent DC distributed power systems, data communication plays a vital role in system control and device monitoring. To achieve communication in a cost effective way, power/signal dual modulation (PSDM), a method that integrates data transmission with power conversion, can be utilized. In this paper, an improved PSDM method using phase shift full bridge (PSFB) converter is proposed. This method introduces a phase control based freedom in the conventional PSFB control loop to realize communication using the same power conversion circuit. In this way, decoupled data modulation and power conversion are realized without extra wiring and coupling units, and thus the system structure is simplified. More importantly, the signal intensity can be regulated by the proposed perturbation depth, and so this method can adapt to different operating conditions. Application of the proposed method to a DC distributed power system composed of several PSFB converters is discussed. A 2kW prototype system with an embedded 5kbps communication link has been implemented, and the effectiveness of the method is verified by experimental results.