The Experts below are selected from a list of 9843 Experts worldwide ranked by ideXlab platform

Alex Q Huang - One of the best experts on this subject based on the ideXlab platform.

  • Power management for DC Microgrid enabled by solid-state transformer
    IEEE Transactions on Smart Grid, 2014
    Co-Authors: Xunwei Yu, Xiaohu Zhou, Xu She, Alex Q Huang
    Abstract:

    A novel distributed power management scheme is proposed in this paper for a DC Microgrid system, which is enabled by Solid-State transformer (SST). The proposed system includes distributed renewable energy resource (DRER) and distributed energy storage device (DESD). The proposed distributed control algorithm, which only relies on the local information and guarantees full utilization of each module in the system based on their characteristics, is applied to both SST and DC Microgrid. To this end, a simulation platform is developed in MATLAB/Simulink, in which Photovoltaic (PV), fuel cell and battery are selected as the typical DRERs and DESD, respectively. Lastly, several typical case studies are carried out and the simulation results verify the proposed distributed power management.

  • IECON - Hierarchical power management for DC Microgrid in islanding mode and Solid State transformer enabled mode
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Xunwei Yu, Alex Q Huang
    Abstract:

    A hierarchical power management scheme is proposed in this paper for a typical DC Microgrid. Different from other Microgrids, the DC Microgrid can interface to the distribution system by Solid-State transformer (SST). The hierarchical power management strategy includes three control levels: 1) primary control for DC Microgrid to implement distributed operation 2) secondary control for the DC Microgrid bus voltage recovery to achieve seamless mode switch 3) tertiary control to manage the battery charge and discharge. The DC Microgrid can operate in islanding mode, including the individual control for distributed renewable energy source (DRER) and distributed energy storage device (DESD). In addition, the DC Microgrid can operate in SST-enabled mode to interface to the distribution system. The DC Micorgrid can seamlessly switch between islanding mode and SST-enable mode. The consideration of state of charge (SOC) for battery is also involved into the tertiary control. To this end, a lab test-bed is constructed to verify the system performance. Lastly, several typical case studies are carried out and the experimental results verify the proposed power management strategy.

  • A fully autonomous power management strategy for DC Microgrid bus voltages
    2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), 2013
    Co-Authors: Alex Q Huang, Rolando Burgos
    Abstract:

    A typical DC Microgrid is investigated in this paper. Two unidirectional DC/DC converters for photovoltaic (PV), and two bidirectional DC/DC converters for batteries are included in the proposed DC Microgrid system embodying multiple renewable energy sources and energy storage devices. In order to manage the system operation, a fully autonomous power management strategy, namely adaptive DC bus voltage signal, is proposed. In the proposed control algorithm, the DC Microgrid system can operate in islanding mode, DC source-connection mode, featuring seamless transitions between these two modes. Experimental results verify that the proposed power management strategy can be applied to a DC Microgrid stably and achieve good performance.

Xunwei Yu - One of the best experts on this subject based on the ideXlab platform.

  • Power management for DC Microgrid enabled by solid-state transformer
    IEEE Transactions on Smart Grid, 2014
    Co-Authors: Xunwei Yu, Xiaohu Zhou, Xu She, Alex Q Huang
    Abstract:

    A novel distributed power management scheme is proposed in this paper for a DC Microgrid system, which is enabled by Solid-State transformer (SST). The proposed system includes distributed renewable energy resource (DRER) and distributed energy storage device (DESD). The proposed distributed control algorithm, which only relies on the local information and guarantees full utilization of each module in the system based on their characteristics, is applied to both SST and DC Microgrid. To this end, a simulation platform is developed in MATLAB/Simulink, in which Photovoltaic (PV), fuel cell and battery are selected as the typical DRERs and DESD, respectively. Lastly, several typical case studies are carried out and the simulation results verify the proposed distributed power management.

  • IECON - Hierarchical power management for DC Microgrid in islanding mode and Solid State transformer enabled mode
    IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
    Co-Authors: Xunwei Yu, Alex Q Huang
    Abstract:

    A hierarchical power management scheme is proposed in this paper for a typical DC Microgrid. Different from other Microgrids, the DC Microgrid can interface to the distribution system by Solid-State transformer (SST). The hierarchical power management strategy includes three control levels: 1) primary control for DC Microgrid to implement distributed operation 2) secondary control for the DC Microgrid bus voltage recovery to achieve seamless mode switch 3) tertiary control to manage the battery charge and discharge. The DC Microgrid can operate in islanding mode, including the individual control for distributed renewable energy source (DRER) and distributed energy storage device (DESD). In addition, the DC Microgrid can operate in SST-enabled mode to interface to the distribution system. The DC Micorgrid can seamlessly switch between islanding mode and SST-enable mode. The consideration of state of charge (SOC) for battery is also involved into the tertiary control. To this end, a lab test-bed is constructed to verify the system performance. Lastly, several typical case studies are carried out and the experimental results verify the proposed power management strategy.

Alessio Iovine - One of the best experts on this subject based on the ideXlab platform.

  • Stability Analysis of a DC Microgrid for a Smart Railway Station Integrating Renewable Sources
    IEEE Transactions on Control Systems Technology, 2020
    Co-Authors: Filipe Perez, Alessio Iovine, Gilney Damm, Lilia Galai-dol, Paulo Ribeiro
    Abstract:

    A low-level distributed nonlinear controller for a DC Microgrid integrated in a Smart Railway Station capable to recover trains' braking energy is introduced in this paper. The DC Microgrid is composed by a number of elements: two different types of renewable energy sources (regenerative braking energy recovery from the trains and photovoltaic panels), two kinds of storages acting at different time scales (a battery and a supercapacitor), a DC load representing an aggregation of all loads in the Microgrid, and the connection with the main AC grid. The nonlinear model of the Microgrid is introduced, and a complete stability analysis is investigated to the purpose to meet power balance and grid voltage stability requirements. An Input-to-State Stability (ISS)-like Lyapunov function is obtained with a System-of-Systems approach, and it is utilized to develop the control laws for the converters in order to fulfill the dedicated objective each of them has. Simulation results, showing the desired grid behavior using the proposed nonlinear control laws, are introduced and compared with classical Proportional Integral (PI) linear controllers, with respect to performances and parametric robustness. The DC Microgrid is shown to be able to operate braking energy recovery while performing load feeding and renewable energy integration and guaranteeing a proper DC voltage profile.

  • Power management for a DC Microgrid integrating renewables and storages
    Control Engineering Practice, 2019
    Co-Authors: Alessio Iovine, Elena De Santis, Gilney Damm, Tristan Rigaut, Maria Domenica Di Benedetto
    Abstract:

    A power management controller for a DC Microgrid containing renewable energy sources, storage elements and loads is presented. The controller ensures power balance and grid stability even when some devices are not controllable in terms of their power output, and environmental conditions and load vary in time. Power balance and desired voltage level for the DC Microgrid are considered as constraints for the controller. Simulations and an experimental setup are implemented to show the effectiveness of the proposed control action.

  • Management Controller for a DC Microgrid integrating Renewables and Storages
    2017
    Co-Authors: Alessio Iovine, Elena De Santis, Gilney Damm, Maria Domenica Di Benedetto
    Abstract:

    DC Microgrids present an increasing interest as they represent an advantageous solution for interconnecting renewable energy sources, storage systems and loads as electric vehicles. A high-level management system able to calculate the optimal reference values for the local controllers of each of the DC Microgrid interconnected devices is introduced in this paper. Both the changing environmental conditions and the expected load variations are taken into account. The controller considers power balance and the desired voltage level for the DC Microgrid. Constraints taking into account the different nature of the storage devices are also considered.

  • Nonlinear Control of a DC Microgrid for the Integration of Photovoltaic Panels
    IEEE Transactions on Automation Science and Engineering, 2017
    Co-Authors: Alessio Iovine, S.b. Siad, Elena De Santis, Gilney Damm, Maria Domenica Di Benedetto
    Abstract:

    New connection constraints for the power network (grid codes) require more flexible and reliable systems, with robust solutions to cope with uncertainties and intermittence from renewable energy sources (renewables), such as photovoltaic (PV) arrays. The interconnection of such renewables with storage systems through a direct current (DC) Microgrid can fulfill these requirements. A ''Plug and Play'' approach based on the ''System of Systems'' philosophy using distributed control methodologies is developed in this paper. This approach allows to interconnect a number of elements to a DC Microgrid as power sources, such as PV arrays, storage systems in different time scales, such as batteries and supercapacitors, and loads, such as electric vehicles and the main ac grid. The proposed scheme can easily be scalable to a much larger number of elements.

  • Nonlinear control of an AC-connected DC Microgrid
    2016
    Co-Authors: Alessio Iovine, S.b. Siad, Elena De Santis, Gilney Damm, Maria Domenica Di Benedetto
    Abstract:

    New connection constraints for the power network (Grid Codes) require more flexible and reliable systems, with robust solutions to cope with uncertainties and intermittence from renewable energy sources (renewables), such as photovoltaic arrays. A solution for interconnecting such renewables to the main grid is to use storage systems and a Direct Current (DC) Microgrid. A 'Plug and Play' approach based on the 'System of Systems' philosophy using distributed control methodologies is developed in the present work. This approach allows to interconnect a number of elements to a DC Microgrid as power sources like photovoltaic arrays, storage systems in different time scales like batteries and supercapacitors, and loads like electric vehicles and the main AC grid. The proposed scheme can easily be scalable to a much larger number of elements.

Xu She - One of the best experts on this subject based on the ideXlab platform.

  • Power management for DC Microgrid enabled by solid-state transformer
    IEEE Transactions on Smart Grid, 2014
    Co-Authors: Xunwei Yu, Xiaohu Zhou, Xu She, Alex Q Huang
    Abstract:

    A novel distributed power management scheme is proposed in this paper for a DC Microgrid system, which is enabled by Solid-State transformer (SST). The proposed system includes distributed renewable energy resource (DRER) and distributed energy storage device (DESD). The proposed distributed control algorithm, which only relies on the local information and guarantees full utilization of each module in the system based on their characteristics, is applied to both SST and DC Microgrid. To this end, a simulation platform is developed in MATLAB/Simulink, in which Photovoltaic (PV), fuel cell and battery are selected as the typical DRERs and DESD, respectively. Lastly, several typical case studies are carried out and the simulation results verify the proposed distributed power management.

Xiaohu Zhou - One of the best experts on this subject based on the ideXlab platform.

  • Power management for DC Microgrid enabled by solid-state transformer
    IEEE Transactions on Smart Grid, 2014
    Co-Authors: Xunwei Yu, Xiaohu Zhou, Xu She, Alex Q Huang
    Abstract:

    A novel distributed power management scheme is proposed in this paper for a DC Microgrid system, which is enabled by Solid-State transformer (SST). The proposed system includes distributed renewable energy resource (DRER) and distributed energy storage device (DESD). The proposed distributed control algorithm, which only relies on the local information and guarantees full utilization of each module in the system based on their characteristics, is applied to both SST and DC Microgrid. To this end, a simulation platform is developed in MATLAB/Simulink, in which Photovoltaic (PV), fuel cell and battery are selected as the typical DRERs and DESD, respectively. Lastly, several typical case studies are carried out and the simulation results verify the proposed distributed power management.