scholarly journals A Universal Design of FPGA-Based Real-Time Simulator for Active Distribution Networks Based on Reconfigurable Computing

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2086
Author(s):  
Shuo Jin ◽  
Hao Yu ◽  
Xiaopeng Fu ◽  
Zhiying Wang ◽  
Kai Yuan ◽  
...  
Keyword(s):  
Real Time ◽  
Reconfigurable Computing ◽  
Universal Design ◽  
High Efficiency ◽  
Linear Equations ◽  
Distribution Networks ◽  
Computing System ◽  
Simulation Efficiency ◽  
Low Efficiency ◽  
Active Distribution Networks

Reconfigurable computing is that the logical resources in the system can be reconfigured according to the real-time changing data flow to achieve different calculation functions. The reconfigurable computing system has both high efficiency on hardware and universality of software. The field programmable gate array (FPGA)-based real-time simulator for active distribution networks (ADNs) requires a long compilation time for case modification, with low efficiency and low versatility, making it inconvenient and difficult for users. To solve the problem of long compile time with a new case, a universal design of the FPGA-based real-time simulator for ADNs based on reconfigurable computing is proposed in this paper. It includes the universal design of the simulation parameter configuration, the simulation initial value setting, the linear equations solving module and the simulation result output module. The proposed universal design of the simulator makes the modification and change of the cases and parameters without recompiling and further improves the simulation efficiency. Simulation results are conducted and compared with PSCAD/EMTDC to validate the correctness and effectiveness of the universal design.

Design and Implementation of Cholecystolithiasis Automatically Perfusion-Dissolved Instrument

2012 ◽  
Vol 241-244 ◽  
pp. 562-565
Author(s):  
Tian Shui Zhou ◽  
Zhen Bao Ling ◽  
Jun Wang
Keyword(s):  
Medical Treatment ◽  
Real Time ◽  
Pressure Sensor ◽  
High Efficiency ◽  
Constant Pressure ◽  
Pressure Data ◽  
Design And Implementation ◽  
Peristaltic Pumps ◽  
Low Efficiency ◽  
Control Quantity

In view of the difficulty to operate, low efficiency, and easy to leak of the manual perfusion method for dissolving cholecystolithiasis, an automatically perfusion-dissolved instrument is designed. By means of collecting and analysing the pressure data being outputted from pressure sensor in real time, and adjusting speed and direction of peristaltic pumps automatically to control quantity of dissolvent, so as to achieve the goal of litholysis under constant pressure in the gallbladder. The instrument has function of automatic heating and controlling temperature. Double controllers are used in the design, slave computer controls the running of each module of the instrument, and master computer is used to real-time display operation state and set parameters. Experimental results indicate that the system is stable and reliable, and with high efficiency for dissolving cholecystolithiasis, which provides a new and effective method for cholelithiasis medical treatment.

scholarly journals Real-Time Dynamic Behavior Evaluation of Active Distribution Networks Leveraging Low-Cost PMUs

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4999
Author(s):  
Xuejun Zheng ◽  
Shaorong Wang ◽  
Xin Su ◽  
Mengmeng Xiao ◽  
Zia Ullah ◽  
...  
Keyword(s):  
Real Time ◽  
Dynamic Behavior ◽  
Low Cost ◽  
Distribution Network ◽  
Distribution Networks ◽  
Assessment Model ◽  
The Real ◽  
Time Dynamic ◽  
Dynamic Index ◽  
Active Distribution Networks

The investigation of real-time dynamic behavior evaluation in the active distribution networks (ADNs) is a challenging task, and it has great importance due to the emerging trend of distributed generations, electric vehicles, and flexible loads integration. The advent of new elements influences the dynamic behavior of the electric distribution networks and increases the assessment complexity. However, the proper implementation of low-cost phasor measurement units (PMUs) together with the development of power system applications offer tremendous benefits. Therefore, this paper proposes a PMU-based multi-dimensional dynamic index approach for real-time dynamic behavior evaluation of ADNs. The proposed evaluation model follows the assessment principles of accuracy, integrity, practicability, and adaptability. Additionally, we introduced low-cost PMUs in the assessment model and implemented them for real-time and high-precision monitoring of dynamic behaviors in the entire distribution network. Finally, a complete model called the real-time dynamic characteristics evaluation system is presented and applied to the ADN. It is pertinent to mention that our proposed evaluation methodology does not rely on the network topology or line parameters of the distribution network since only the phasor measurements of node voltage and line current are involved in the dynamic index system. Thus, the presented methodology is well adaptive to different operation states of ADN despite frequent topology changes. The validation of the proposed approach was verified by conducting simulations on the modified IEEE 123-node distribution network. The obtained results verify the effectiveness and relevance of the proposed model for the real-time dynamic behavior evaluation of ADNs.

scholarly journals Kernel Solver Design of FPGA-Based Real-Time Simulator for Active Distribution Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 29146-29157 ◽  
Author(s):  
Zhiying Wang ◽  
Fanpeng Zeng ◽  
Peng Li ◽  
Chengshan Wang ◽  
Xiaopeng Fu ◽  
...  
Keyword(s):  
Real Time ◽  
Distribution Networks ◽  
Active Distribution Networks

5G Edge Cloud Power Real-time Inspection Technology Based on YOLOV4-Tiny

2021 ◽  
Author(s):  
Jiaqi Song ◽  
Jing Li ◽  
Di Wu ◽  
Guangye Li ◽  
Jiaxin Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
High Efficiency ◽  
Real Data ◽  
Detection Algorithm ◽  
Power Line ◽  
Edge Computing ◽  
Inspection Method ◽  
Computing Architecture ◽  
Low Efficiency

Power line corridor inspection plays a vital role in power system safe operation, traditional human inspection’s low efficiency makes the novel inspection method requiring high precision and high efficiency. Combined with the current deep learning target detection algorithm based on high accuracy and strong real-time performance, this paper proposes a YOLOV4-Tiny based drone real-time power line inspection method. The 5G and edge computing technology are combined properly forming a complete edge computing architecture. The UAV is treated as an edge device with a YOLOV4-Tiny deep- learning-based object detection model and AI chip on board. Extensive experiments on real data demonstrate the 5G and Edge computing architecture could satisfy the demands of real-time power inspection, and the intelligence of the whole inspection improved significantly.

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