Smart Grid
This dataset is used to design patent and many machines can be designed using this dataset.
This is a very important dataset to do breakthrough. One of the secrets behind invention is revealed in these datasets.
Part of this design, with manually done tabulated calculations were submitted as the proposal design (for innovation challenge) proposed by the author, in the small concept paper to Ministry of Railways, Govt. of India in the year 2017.
As the Excel files(using LibreOffice) are given, so no paper is written is for it.
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1855 Views
This dataset has been used to assist in designing patent.
Related Claim : Novel ß Non-Linear Theory, Novel ß Inverter and Novel ß PFC in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller'
The system is basic, on existing designs.It is very simple for any graduate,degree holder, so no paper is written for it.
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815 Views
Single line diagram of the CTPN2.
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59 Views
The evolution of the Industrial Internet of Things (IIoT) introduces several benefits, such as real-time monitoring, pervasive control and self-healing. However, despite the valuable services, security and privacy issues still remain given the presence of legacy and insecure communication protocols like IEC 60870-5-104. IEC 60870-5-104 is an industrial protocol widely applied in critical infrastructures, such as the smart electrical grid and industrial healthcare systems.
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6713 Views
This data file provides the MATLAB code to reconfigure the distribution networks using a fast and simple two-stage heuristic approach.
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359 Views
The dataset reflects a single household (home) power profile related to the grid. Households include typical appliances, two air-to-air heat pumps, a 3-phase 18 kW through-flow water heater, 6 kW solar panels and a 2,5 kW charger for the electric car.
For five-month (April_August) in 2022, every 0.2 sec took each 3-phase voltage and current measurement, calculate power and harmonics (up to 15th) for power profile registration.
Positive value reflects energy flow from the grid to a household, and negative values are energy flow to the grid.
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1262 Views
The dataset provided contains the invariants in the form of antecedent and consequent mined using Association Rule Mining with implicit measures such as Confidence, Support, Lift, etc. from an EPIC Plant (Electrical Power and Intelligent Control System).
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264 Views
Accurate conversion loss models are the keys to guaranteeing the more efficient operation of networked hybrid AC/DC microgrids (N-AC/DC-MGs). A two-stage stochastic unit commitment (UC) problem is proposed to improve the operational efficiency of N-AC/DC-MGs under uncertain renewable energy generation output and loads. The nonlinear power losses of AC/DC converters and DC/DC converters under different operating modes are formulated as novel multivariate nonlinear functions of both power and voltage.
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133 Views
Algorithms that adjust the reactive power injection of converter-connected RES to minimize losses may compromise the converters’ fault-ride-through capability. This can become crucial for the reliable operation of the distribution grids, as they could lose valuable resources to support grid voltage at the time they need them the most. This paper explores how two novel loss-minimizing algorithms can both achieve high reduction of the system losses during normal operation and remain connected to support the voltage during faults.
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278 Views
This dataset is created for neural network-based surrogate modeling of the power conversion losses. The dataset includes two sets of training and test data (for AC/DC and DC/DC converters respectively) for the neural network. The raw data is generated using PLECS Blockset Packages in MATLAB-Simulink environment.
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99 Views