Fuzzy control based power flow control strategy of EV DC fast charging station including distributed PV generation and hybrid energy storage systems

2019 ◽  
Author(s):  
Yang Liu ◽  
Qian Wang ◽  
Feng Wang ◽  
Jiaxi Deng ◽  
Sinian Yan ◽  
...  
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Power Flow ◽  
Storage Systems ◽  
Power Flow Control ◽  
Hybrid Energy ◽  
Charging Station ◽  
Hybrid Energy Storage ◽  
Fast Charging ◽  
Pv Generation

scholarly journals Microgrid system including PV generation and hybrid backup system

2021 ◽  
Author(s):  
Hooman Samani
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Energy Flow ◽  
Storage Systems ◽  
Photovoltaic Module ◽  
Energy Storage Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Backup System ◽  
Micro Grid

This Master’s thesis project introduces a micro-grid system that includes a hybrid power storage backup system and photovoltaic module power generation system, which is connected to the grid and supports the hybrid backup system. The first section presents a solution or algorithm to an existing problem in an energy flow management strategy for the hybrid energy storage system. In the second section, power is provided from the photovoltaic arrays by the convenience of the Maximum Power Point Tracking (MPPT) for each photovoltaic module. The generated power will charge the storage backup system. The micro-grid is capable of selling the surplus power to the utility grid. A master controller optimizes integration, dispatching and control over the whole micro-grid operation. There have been many different control strategies and topologies presented over the years to manage the energy flow for hybrid energy storage systems; however, there are some aspects that differentiate some from others, such as real-time prediction, cumbersome architecture, full spectrum control over recourses, and cost-effectiveness. The first section of this thesis proposes a control strategy on hybrid energy storage systems based on fundamental electrical principles. The low volume and simple algorithm make the controller easy to perform on the embedded systems and quickly responds within a tiny space. The control strategy is equipped with a load prediction method, which provides a fast response at the time of load current surge. The controller architect provides the full control over all the resources. The presented controller is cost-effective by increasing the battery life and by minimizing the power loss in the hybrid storage backup system. The simulation results in two different experiments validate the efficiency and performance of the offered control strategy for hybrid backup system.

scholarly journals Microgrid system including PV generation and hybrid backup system

2021 ◽  
Author(s):  
Hooman Samani
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Energy Flow ◽  
Storage Systems ◽  
Photovoltaic Module ◽  
Energy Storage Systems ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Backup System ◽  
Micro Grid

This Master’s thesis project introduces a micro-grid system that includes a hybrid power storage backup system and photovoltaic module power generation system, which is connected to the grid and supports the hybrid backup system. The first section presents a solution or algorithm to an existing problem in an energy flow management strategy for the hybrid energy storage system. In the second section, power is provided from the photovoltaic arrays by the convenience of the Maximum Power Point Tracking (MPPT) for each photovoltaic module. The generated power will charge the storage backup system. The micro-grid is capable of selling the surplus power to the utility grid. A master controller optimizes integration, dispatching and control over the whole micro-grid operation. There have been many different control strategies and topologies presented over the years to manage the energy flow for hybrid energy storage systems; however, there are some aspects that differentiate some from others, such as real-time prediction, cumbersome architecture, full spectrum control over recourses, and cost-effectiveness. The first section of this thesis proposes a control strategy on hybrid energy storage systems based on fundamental electrical principles. The low volume and simple algorithm make the controller easy to perform on the embedded systems and quickly responds within a tiny space. The control strategy is equipped with a load prediction method, which provides a fast response at the time of load current surge. The controller architect provides the full control over all the resources. The presented controller is cost-effective by increasing the battery life and by minimizing the power loss in the hybrid storage backup system. The simulation results in two different experiments validate the efficiency and performance of the offered control strategy for hybrid backup system.

scholarly journals Design of Fast Charging Station with Energy Management for eBuses

Vehicles ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 807-820
Author(s):  
Hossam A. Gabbar ◽  
Yasser Elsayed ◽  
Abu Bakar Siddique ◽  
Abdalrahman Elshora ◽  
Ajibola Adeleke
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Energy Management System ◽  
Hybrid Energy ◽  
Charging Station ◽  
Hybrid Energy Storage ◽  
Fast Charging ◽  
Energy Grid ◽  
Fast Charging Station

The popularity of the eBus has been increasing rapidly in recent years due to its low greenhouse gases (GHG) emissions and its low dependence on fossil fuels. This incremental use of the eBus increases the burden to the power grid for its charging. Charging eBus requires a high amount of power for a feasible amount of time. Therefore, developing a fast-charging station (FCS) integrated with Micro Energy Grid (MEG) and hybrid energy storage is crucial for charging eBuses. This paper presents a design of FCS for eBus that integrates MEG with hybrid energy storage with the energy management system. To reduce the dependency on the main utility grid, a hybrid micro energy grid based on a renewable source (i.e., PV) have been included. In addition, hybrid energy storage of batteries and flywheels has also been developed to mitigate the power demand of the fast-charging station during peak time. Furthermore, a multiple-input DC-DC converter has been developed for managing the DC power transfer between the common DC bus and the multiple energy sources. Finally, an energy management system and the controller has been designed to achieve an extensive performance from the fast charging station. MATLAB Simulink has been used for the simulation work of the overall design. Different test case scenarios are tested for evaluating the performance parameters of the proposed FCS and also for evaluating its performance.

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