SAM
https://sam.ensam.eu:443
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http://hdl.handle.net/10985/6314
Grid Connected Inverter Behavior with an Output LC Filter under Voltage Sag Operation
SALHA, Fouad; COLAS, Frédéric; GUILLAUD, Xavier
The aim of this paper is to propose an over current limitation and voltage control strategy for a grid connected inverter with a LC output filter used in distributed generation and in case of voltage sag. This strategy relies on the control of LC output filter voltage with a resonant controller. This controller has to control current and load voltage throughout voltage sag. Generally, resonant controller is made up of a proportional and resonance term, which contains two imaginary poles that aimed to obtain an infinite gain at the resonance frequency. State feedback structure and pole assignment approach are used to tune the proposed control strategy. Comparative results for the application of both resonant and classical PI controller in d-q frame are showed in this paper. The last part deals with the implementation of control strategies on a real time simulation environment. The effectiveness of the proposed controller under a voltage sag operation is shown by experimental results.
Thu, 01 Jan 2009 00:00:00 GMThttp://hdl.handle.net/10985/63142009-01-01T00:00:00ZSALHA, FouadCOLAS, FrédéricGUILLAUD, XavierThe aim of this paper is to propose an over current limitation and voltage control strategy for a grid connected inverter with a LC output filter used in distributed generation and in case of voltage sag. This strategy relies on the control of LC output filter voltage with a resonant controller. This controller has to control current and load voltage throughout voltage sag. Generally, resonant controller is made up of a proportional and resonance term, which contains two imaginary poles that aimed to obtain an infinite gain at the resonance frequency. State feedback structure and pole assignment approach are used to tune the proposed control strategy. Comparative results for the application of both resonant and classical PI controller in d-q frame are showed in this paper. The last part deals with the implementation of control strategies on a real time simulation environment. The effectiveness of the proposed controller under a voltage sag operation is shown by experimental results.Impact of control algorithm solutions on Modular Multilevel Converters electrical waveforms and losses
http://hdl.handle.net/10985/13677
Impact of control algorithm solutions on Modular Multilevel Converters electrical waveforms and losses
GRUSON, François; FREYTES, Julian; SAMIMI, Shabab; DELARUE, Philippe; GUILLAUD, Xavier; COLAS, Frédéric; BELHAOUANE, Mohamed Moez
Modular Multilevel Converters (MMC) are becoming increasingly popular with the development of HVDC connection and, in the future, Multi Terminal DC grid. A lot of publications have been published about this topology these last years since it was first proposed. Many of them deal with converter control methods, other address the method of estimating losses. Usually, the proposed losses estimation techniques are associated to simple control methods For VSC (Voltage Sources Converters) topology, the losses minimization is based on the limitation of the RMS currents values. This hypothesis is usually extended to the control of MMC, by limiting the differential currents to their DC component, without really being checked. This paper investigates the impact of two control algorithms variants on electrical quantities (currents, capacitor voltages ripple, losses). From the published results, it is shown that in some cases the usual choice is not the best one.
Thu, 01 Jan 2015 00:00:00 GMThttp://hdl.handle.net/10985/136772015-01-01T00:00:00ZGRUSON, FrançoisFREYTES, JulianSAMIMI, ShababDELARUE, PhilippeGUILLAUD, XavierCOLAS, FrédéricBELHAOUANE, Mohamed MoezModular Multilevel Converters (MMC) are becoming increasingly popular with the development of HVDC connection and, in the future, Multi Terminal DC grid. A lot of publications have been published about this topology these last years since it was first proposed. Many of them deal with converter control methods, other address the method of estimating losses. Usually, the proposed losses estimation techniques are associated to simple control methods For VSC (Voltage Sources Converters) topology, the losses minimization is based on the limitation of the RMS currents values. This hypothesis is usually extended to the control of MMC, by limiting the differential currents to their DC component, without really being checked. This paper investigates the impact of two control algorithms variants on electrical quantities (currents, capacitor voltages ripple, losses). From the published results, it is shown that in some cases the usual choice is not the best one.Modeling of Hydro-Pneumatic Energy Storage Using Pump Turbines
http://hdl.handle.net/10985/6834
Modeling of Hydro-Pneumatic Energy Storage Using Pump Turbines
ORTEGO, Egoï; DAZIN, Antoine; CAIGNAERT, Guy; COLAS, Frédéric; COUTIER-DELGOSHA, Olivier
Modelling of a hydro-pneumatic energy storage system is presented in this paper. Hydro pneumatic storage aims to combine the good efficiency of hydraulic energy conversion and the space flexibility of pneumatic storage. The project aims to model a prototype which uses a rotodynamic multi-stage pump-turbine to displace a virtual liquid piston to compress air. To facilitate mass and heat transfers between both phases, there is no separation between the water and the air. A dynamic model of the storage system is developed using block diagram methodology. It takes into account characteristic curves of the pump-turbine and thermodynamic equations. Modelling results show that vapour diffusion contributes to reducing compression final temperature. This implies an increase of storage efficiency. A test rig construction will begin at the end of autumn 2011. It will be electrically connected to the “Distributed Energies” platform of ‘’Arts et Métiers Paristech’’ in Lille.
Sat, 01 Jan 2011 00:00:00 GMThttp://hdl.handle.net/10985/68342011-01-01T00:00:00ZORTEGO, EgoïDAZIN, AntoineCAIGNAERT, GuyCOLAS, FrédéricCOUTIER-DELGOSHA, OlivierModelling of a hydro-pneumatic energy storage system is presented in this paper. Hydro pneumatic storage aims to combine the good efficiency of hydraulic energy conversion and the space flexibility of pneumatic storage. The project aims to model a prototype which uses a rotodynamic multi-stage pump-turbine to displace a virtual liquid piston to compress air. To facilitate mass and heat transfers between both phases, there is no separation between the water and the air. A dynamic model of the storage system is developed using block diagram methodology. It takes into account characteristic curves of the pump-turbine and thermodynamic equations. Modelling results show that vapour diffusion contributes to reducing compression final temperature. This implies an increase of storage efficiency. A test rig construction will begin at the end of autumn 2011. It will be electrically connected to the “Distributed Energies” platform of ‘’Arts et Métiers Paristech’’ in Lille.Modeling of Hydro-Pneumatic Energy Storage Using Pump Turbines
http://hdl.handle.net/10985/6874
Modeling of Hydro-Pneumatic Energy Storage Using Pump Turbines
ORTEGO, Egoï; DAZIN, Antoine; CAIGNAERT, Guy; COLAS, Frédéric; COUTIER-DELGOSHA, Olivier
Modelling of a hydro-pneumatic energy storage system is the main aim of this paper. The project aims to model a prototype that uses a rotodynamic multi-stage pump-turbine to displace a virtual liquid piston for air compression. A dynamic model of the storage system is developed using the block diagram methodology. Two driving strategies are also developed in order to manage the constant variation of operating point due to pressure variation: maximum efficiency strategy and power demand response strategy.
Sun, 01 Jan 2012 00:00:00 GMThttp://hdl.handle.net/10985/68742012-01-01T00:00:00ZORTEGO, EgoïDAZIN, AntoineCAIGNAERT, GuyCOLAS, FrédéricCOUTIER-DELGOSHA, OlivierModelling of a hydro-pneumatic energy storage system is the main aim of this paper. The project aims to model a prototype that uses a rotodynamic multi-stage pump-turbine to displace a virtual liquid piston for air compression. A dynamic model of the storage system is developed using the block diagram methodology. Two driving strategies are also developed in order to manage the constant variation of operating point due to pressure variation: maximum efficiency strategy and power demand response strategy.Energy management and operational planning of a microgrid with a PV-based active generator for Smart Grid Applications
http://hdl.handle.net/10985/6377
Energy management and operational planning of a microgrid with a PV-based active generator for Smart Grid Applications
KANCHEV, Hristiyan; LU, Di; COLAS, Frédéric; LAZAROV, Vladimir; FRANCOIS, Bruno
The development of energy management tools for consumers and next generation PV installations, including storage units, provides flexibility to distribution system operators. In this paper the aggregation and implementation of this new energy management method for business customers in a microgrid power system is presented. The proposed energy management system is organized according to different functions and is implemented in two parts: a central energy management of the microgrid and a local power management at the customer side. The central and local management systems exchange data and orders through a communication network. The power planning is designed according to the prediction for PV power production and the load forecasting by taking into account the capabilities of dispatched customers. According to received grid power references, additional functions are also designed to manage locally the power flows between the various sources. Application to the case of a hybrid supercapacitor battery based PV active generator is presented.
Sat, 01 Jan 2011 00:00:00 GMThttp://hdl.handle.net/10985/63772011-01-01T00:00:00ZKANCHEV, HristiyanLU, DiCOLAS, FrédéricLAZAROV, VladimirFRANCOIS, BrunoThe development of energy management tools for consumers and next generation PV installations, including storage units, provides flexibility to distribution system operators. In this paper the aggregation and implementation of this new energy management method for business customers in a microgrid power system is presented. The proposed energy management system is organized according to different functions and is implemented in two parts: a central energy management of the microgrid and a local power management at the customer side. The central and local management systems exchange data and orders through a communication network. The power planning is designed according to the prediction for PV power production and the load forecasting by taking into account the capabilities of dispatched customers. According to received grid power references, additional functions are also designed to manage locally the power flows between the various sources. Application to the case of a hybrid supercapacitor battery based PV active generator is presented.Distributed Economic Dispatch of Embedded Generation in Smart Grids
http://hdl.handle.net/10985/11353
Distributed Economic Dispatch of Embedded Generation in Smart Grids
DIBANGOYE, Jille; GUILLAUD, Xavier; COLAS, Frédéric; FAKHAM, Hicham; DONIEC, Arnaud
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.
Thu, 01 Jan 2015 00:00:00 GMThttp://hdl.handle.net/10985/113532015-01-01T00:00:00ZDIBANGOYE, JilleGUILLAUD, XavierCOLAS, FrédéricFAKHAM, HichamDONIEC, ArnaudIn 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.FPGA Implementation of a General Space Vector Approach on a 6-Leg Voltage Source Inverter
http://hdl.handle.net/10985/6749
FPGA Implementation of a General Space Vector Approach on a 6-Leg Voltage Source Inverter
SANDULESCU, Paul; IDKHAJINE, Lahoucine; CENSE, Sébastien; COLAS, Frédéric; KESTELYN, Xavier; SEMAIL, Eric; BRUYERE, Antoine
A general algorithm of a Space Vector approach is implemented on a 6-leg VSI controlling a PM synchronous machine with three independent phases. In this last case, the necessity of controlling the zero-sequence current motivates the choice of a special family of vectors, different of this one used in Pulse Width Modulation (PWM) intersective strategy and in common Space Vector PWM (SVPWM). To preserve the parallelism of the algorithm and fulfill the execution time constraints, the implementation is made on a Field Programmable Gate Array (FPGA). Comparisons with more classical 2-level and 3-level PWM are provided.
Sat, 01 Jan 2011 00:00:00 GMThttp://hdl.handle.net/10985/67492011-01-01T00:00:00ZSANDULESCU, PaulIDKHAJINE, LahoucineCENSE, SébastienCOLAS, FrédéricKESTELYN, XavierSEMAIL, EricBRUYERE, AntoineA general algorithm of a Space Vector approach is implemented on a 6-leg VSI controlling a PM synchronous machine with three independent phases. In this last case, the necessity of controlling the zero-sequence current motivates the choice of a special family of vectors, different of this one used in Pulse Width Modulation (PWM) intersective strategy and in common Space Vector PWM (SVPWM). To preserve the parallelism of the algorithm and fulfill the execution time constraints, the implementation is made on a Field Programmable Gate Array (FPGA). Comparisons with more classical 2-level and 3-level PWM are provided.Economic supervisory predictive control of a hybrid power generation plant
http://hdl.handle.net/10985/11354
Economic supervisory predictive control of a hybrid power generation plant
DIEULOT, Jean-Yves; DAUPHIN-TANGUY, Geneviève; CHALAL, Lamine; COLAS, Frédéric
This work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage unit. Tuning the predictive controller is easy: the optimal criterion encom- passes the environmental, fuel, energy delivery and storage costs. Short time predictions of the solar power are embedded in the supervisor which yields smoother battery control and better power management. Real-time experiments are driven in a Hardware-in-the-Loop framework illustrating the relevance of the proposed supervisory predictive control design.
Thu, 01 Jan 2015 00:00:00 GMThttp://hdl.handle.net/10985/113542015-01-01T00:00:00ZDIEULOT, Jean-YvesDAUPHIN-TANGUY, GenevièveCHALAL, LamineCOLAS, FrédéricThis work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage unit. Tuning the predictive controller is easy: the optimal criterion encom- passes the environmental, fuel, energy delivery and storage costs. Short time predictions of the solar power are embedded in the supervisor which yields smoother battery control and better power management. Real-time experiments are driven in a Hardware-in-the-Loop framework illustrating the relevance of the proposed supervisory predictive control design.Energy Management Strategy for Commercial Buildings Integrating PV and Storage Systems
http://hdl.handle.net/10985/6414
Energy Management Strategy for Commercial Buildings Integrating PV and Storage Systems
ZANG, He; DAVIGNY, Arnaud; SPROOTEN, Jonathan; ROBYNS, Benoit; COLAS, Frédéric; POSTE, Yvan
This paper presents an energy management strategy for a commercial building in supermarket application. Some objectives are established as load shedding, to reduce the electricity bill and the CO2 emissions of commercial building, such as supermarkets, in using PV and storage systems. An energy management supervision strategy based on the rules of the electricity bill will be presented. This paper focuses on the supervision strategy with the help of fuzzy logic. It is shown, with the help of simulations and comparisons, that the energy bill cost and the CO2 emissions can be reduced by using the solution proposed.
Sun, 01 Jan 2012 00:00:00 GMThttp://hdl.handle.net/10985/64142012-01-01T00:00:00ZZANG, HeDAVIGNY, ArnaudSPROOTEN, JonathanROBYNS, BenoitCOLAS, FrédéricPOSTE, YvanThis paper presents an energy management strategy for a commercial building in supermarket application. Some objectives are established as load shedding, to reduce the electricity bill and the CO2 emissions of commercial building, such as supermarkets, in using PV and storage systems. An energy management supervision strategy based on the rules of the electricity bill will be presented. This paper focuses on the supervision strategy with the help of fuzzy logic. It is shown, with the help of simulations and comparisons, that the energy bill cost and the CO2 emissions can be reduced by using the solution proposed.Emission Reduction and Economical Optimization of an Urban Microgrid Operation Including Dispatched PV-Based Active Generators
http://hdl.handle.net/10985/13676
Emission Reduction and Economical Optimization of an Urban Microgrid Operation Including Dispatched PV-Based Active Generators
KANCHEV, Hristiyan; FRANCOIS, Bruno; LAZAROV, Vladimir; COLAS, Frédéric
In order to take full advantage of distributed generators, an evolution of the classical power system organization and management is also necessary. An aggregator of a residential urban electrical network can be considered by the distribution system operator as a stakeholder, which is able to control a cluster of local generators and loads with technical constraints for the connection with the remaining distribution grid and commercial contracts with outer electrical producers. This paper is focused on the design of the microgrid central energy management system which relies on a day-ahead operational planning and an online adjustment procedure during the operation. A dynamic programming-based algorithm is derived to solve the unit commitment problem with a multiobjective function in order to reduce the economic cost and CO2 equivalent emissions. The proposed energy management system is implemented into a supervisory control and data acquisition (SCADA) and tested by using a hardware-in-the-loop simulation of the urban network. Economic and environmental gains are evaluated.
Wed, 01 Jan 2014 00:00:00 GMThttp://hdl.handle.net/10985/136762014-01-01T00:00:00ZKANCHEV, HristiyanFRANCOIS, BrunoLAZAROV, VladimirCOLAS, FrédéricIn order to take full advantage of distributed generators, an evolution of the classical power system organization and management is also necessary. An aggregator of a residential urban electrical network can be considered by the distribution system operator as a stakeholder, which is able to control a cluster of local generators and loads with technical constraints for the connection with the remaining distribution grid and commercial contracts with outer electrical producers. This paper is focused on the design of the microgrid central energy management system which relies on a day-ahead operational planning and an online adjustment procedure during the operation. A dynamic programming-based algorithm is derived to solve the unit commitment problem with a multiobjective function in order to reduce the economic cost and CO2 equivalent emissions. The proposed energy management system is implemented into a supervisory control and data acquisition (SCADA) and tested by using a hardware-in-the-loop simulation of the urban network. Economic and environmental gains are evaluated.