An Adaptive Approach for PEVs Charging Management and Reconfiguration of Electrical Distribution System Penetrated by Renewables

Rahmani-Andebili, Mehdi; Fotuhi‐Firuzabad, Mahmud

doi:10.1109/tii.2017.2761336

Cited by 103 publications

(48 citation statements)

References 18 publications

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“…A low-voltage DC microgrid with a DG has great potential in reducing power loss, enhancing power supply continuity and reliability as well as improving power quality. An adaptive approach for a distribution system reconfiguration and charging management of plug-in electric vehicles (PEV) is presented in [7]. It used a stochastic model predictive control to stochastically, adaptively and dynamically reconfigure the system, manage the incidental charging pattern of PEVs, and deal with the variable and uncertain power of renewable energy sources.…”

Section: Discussionmentioning

confidence: 99%

“…When the output of other DGs is unstable or the system load changes, the power balance of the microgrids can be maintained by charging and discharging capacity of the energy storage systems [6]. Reference [7,8] proposes a concept of stochastic model predictive control (MPC), which was applied to the optimization problem of renewable energy to deal with the uncertainty and variability issues of renewable energy resources. Experimental results show that the algorithm improves the robustness and resiliency of the prediction error of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm

et al. 2019

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Low-voltage direct current (DC) microgrid based on distributed generation (DG), the problems of load mutation affecting the DC bus under island mode, and the security problems that may arise when the DC microgrid is switched from island mode to grid-connected mode are considered. Firstly, a DC bus control algorithm based on disturbance observer (DOB) was proposed to suppress the impact of system load mutation on DC bus in island mode. Then, in a grid-connected mode, a pre-synchronization control algorithm based on a neural network adaptive control was proposed, and the droop controller was improved to ensure better control accuracy. Through this pre-synchronization control, the microgrid inverters output voltage could quickly track the power grid’s voltage and achieve an accurate grid-connected operation. The effectiveness of the algorithms was verified by simulation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm

et al. 2019

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“…Also, one can use a dynamic and adaptive approach to reconfigure several renewables and to determine the distance between charging stations in order to minimize the daily operation cost [20]. Lastly, modeling the behavior of the captain with respect to the value of incentives [21] will make solar boats more attractive to the community. Hopefully, it will not be too long before we see a sustainable green vessel running at a site with beautiful scenery, such as the Sun Moon Lake in Taiwan.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of a Distributed Photovoltaic System in Grid-Connected and Standalone Applications by Different MPPT Algorithms

Chao

Lin

et al. 2018

Energies

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Due to the shortage of fossil fuel and the environmental pollution problem, solar energy applications have drawn a lot of attention worldwide. This paper reports the use of the latest patented distributed photovoltaic (PV) power system design, including the two possible maximum power point tracking (MPPT) algorithms, a power optimizer, and a PV power controller, in grid-connected and standalone applications. A distributed PV system with four amorphous silicon thin-film solar panels is used to evaluate both the quadratic maximization (QM) and the Steepest descent (SD) MPPT algorithms. The system's design is different for the QM or the SD MPPT algorithm being used. The test result for the grid-connected silicon-based PV panels will also be reported. Considering the settling time for the power optimizer to be 20 ms, the test result shows that the tracking time for the QM method is close to 200 ms, which is faster when compared with the SD method whose tracking time is 500 ms. Besides this, the use of the QM method provides a more stable power output since the tracking is restricted by a local power optimizer rather than the global tracking the SD method uses. For a standalone PV application, a solar-powered boat design with 18 PV panels using a cascaded MPPT controller is introduced, and it provides flexibility in system design and the effective use of photovoltaic energy.

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“…The converter achieved fault tolerance through dynamic structure reconfiguration [30,31]. According to the location of the faulty device, there are three substructure types after an OCF.…”

Section: Fault Tolerance Methodsmentioning

confidence: 99%

Open Circuit Fault Diagnosis and Fault Tolerance of Three-Phase Bridgeless Rectifier

et al. 2018

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Bridgeless rectifiers are widely used in many applications due to a unity power factor, lower conduction loss and high efficiency, which does not need bidirectional energy transmission. In this case, the potential failures are threatening the reliability of these converters in critical applications such as power supply and electric motor driver. In this paper, open circuit fault is analyzed, taking a three-phase bridgeless as an example. Interference on both the input and output side are considered. Then, the fault diagnosis method including detection and location, and fault tolerance through additional switches are proposed. At last, simulation and experiments based on the hardware in loop technology are used to validate the feasibility of fault diagnosis and fault tolerance methodology.

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An Adaptive Approach for PEVs Charging Management and Reconfiguration of Electrical Distribution System Penetrated by Renewables

Cited by 103 publications

References 18 publications

Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm

Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm

Evaluation of a Distributed Photovoltaic System in Grid-Connected and Standalone Applications by Different MPPT Algorithms

Open Circuit Fault Diagnosis and Fault Tolerance of Three-Phase Bridgeless Rectifier

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