Development of a power hardware in the loop simulation of an islanded microgrid

In this paper a Power Hardware in the loop simulation has been realized to test in a safely way the performances and reliability of a device called “PowerCorner” used to supply an islanded microgrid. A real-time model has been developed in order to simulate the microgrid, batteries and photovoltaic panels. Some modeling criterions have been proposed to reduce time-step simulation and enhancing the Power Hardware in the loop simulation stability. Power Hardware in the loop simulation is used to emulate the AC and DC environments around the power inverters. On the DC side, DC power amplifier is used to emulate photovoltaic power plants and storage devices made on Lithium batteries. On the AC side, AC power amplifier is used to emulate the behavior of the microgrid. These two power amplifiers are controlled by a digital real time simulator which embeds the dynamic behavior of both DC and AC sides

Distributed Economic Dispatch of Embedded Generation in Smart Grids

In a Smart Grid context, the increasing penetration of embedded generation units leads to a greater complexity in the management of production units. In this arti- cle, we focus on the impact of the introduction of decentralized generation for the unit commitment problem (UC). Unit Commitment Problems consist in finding the optimal schedules and amounts of power to be generated by a set of gen- erating units in response to an electricity demand forecast. While this problem have received a significant amount of attention, classical approaches assume these problems are centralized and deterministic. However, these two assumptions are not realistic in a smart grid context. Indeed, finding the optimal schedules and amounts of power to be generated by multiple distributed generator units is not trivial since it requires to deal with distributed computation, privacy, stochastic planning, ... In this paper, we focus on smart grid scenarios where the main source of complexity comes from the proliferation of distributed generating units. In solving this issue, we consider distributed stochastic unit commitment prob- lems. We introduce a novel distributed gradient descent algorithm which allow us to circumvent classical assumptions. This algorithm is evaluated through a set of experiments on real-time power grid simulator.Programme ADEME - Réseaux électrique intelligent - Projet AgentVP

Commande et observation de la machine synchrone à aimants permanents à distribution de flux trapézoïdale

(MSAPT), le capteur de position du rotor est nécessaire. Cependant, il augmente le coût et la taille de la machine et réduit la fiabilité du système global. Afin de pallier ce problème, nous avons axé notre recherche sur la proposition d'un observateur d'état original visant à observer la position et la vitesse du rotor Nous avons étudié la modélisation et la commande des MSAPT en proposant "le modèle de mode-six-étapes". Ensuite, notre étude de l'observabilité de la MSAPT a montré que les harmoniques de rang impair égal à 3K posent un problème quant à l'observation de la position et la vitesse du rotor. Aussi, nous avons substitué les grandeurs électriques simples par des grandeurs électriques composées entre deux phases. Nous avons alors estimé la position et la vitesse du rotor en nous basant sur deux méthodes différentes, à savoir : "filtre de Kalman Etendu" et "observateur à modes glissants". La dernière partie de notre thèse est consacrée à l'étude expérimentale qui nous a permis de valider l'observateur à modes glissants proposé.In the case of the Trapezoidal Permanent Magnet Synchronous Motor (TPMSM) drives, the detection of the rotor position is necessary. However, the position sensor uses here increases the cost and the size of the machine and reduces the reliability of the total system. In order to overcome this problem, we centred our research on the proposal of a new observer in order to estimate the rotor position and speed. We studied the modelling and the control of the TPMSM by proposing "the model of mode-six-steps ". Then, our study of the observability conditions of the PMSMT showed that the harmonics of order multiple of three pose a problem in the observation of the rotor position and the speed. Also, we substituted the simple electric quantities by phase-to-phase electric quantities. We then estimated the rotor position and the speed by using two different methods : "Extended Kalman filtre" and "Sliding Mode observer". The last part of our thesis gives to the experimental study of the sliding mode observer which is proposedVERSAILLES-BU Sciences et IUT (786462101) / SudocSudocFranceF

Design and practical implementation of a back-emf sliding-mode observer for a brushless dc motor

A sliding-mode observer is proposed in order to estimate the phase-to-phase trapezoidal back-EMF in a brushless DC motor by using only the measurements of the stator currents and voltages. The main feature of the proposed observer is that it is not sensitive to the switching noise and no filtering is required. The back-EMF estimate was then used to deduce the six rotor positions of the motor. In addition, a method to obtain an estimate of the rotor speed of the motor, by exploiting the mathematical relationship between the speed and the back-EMF, is presented. The observer of the trapezoidal back-EMF is implemented practically on a DSP board. Simulation and experimental results are given to show the performance of the observer

Real-Time Simulation of a Distribution Network with Multiple Feeders

International audienc

Development of a power hardware in the loop simulation of an islanded microgrid

International audienceIn this paper a Power Hardware in the loop simulation has been realized to test in a safely way the performances and reliability of a device called “PowerCorner” used to supply an islanded microgrid. A real-time model has been developed in order to simulate the microgrid, batteries and photovoltaic panels. Some modeling criterions have been proposed to reduce time-step simulation and enhancing the Power Hardware in the loop simulation stability. Power Hardware in the loop simulation is used to emulate the AC and DC environments around the power inverters. On the DC side, DC power amplifier is used to emulate photovoltaic power plants and storage devices made on Lithium batteries. On the AC side, AC power amplifier is used to emulate the behavior of the microgrid. These two power amplifiers are controlled by a digital real time simulator which embeds the dynamic behavior of both DC and AC sides