Smart Grid

The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.

 

4801 views
  • Energy
  • Last Updated On: 
    Tue, 01/29/2019 - 00:55

    The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.

    2426 views
  • Energy
  • Last Updated On: 
    Thu, 04/11/2019 - 10:58

    The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.

    1633 views
  • Power and Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This dataset includes high-resolution (1 s) power and reactive power profiles of household appliances. The dataset consists of ground truth data from a European household, laboratory measurements and few artificial created data. Specifically, the dataset includes data for TV, washing machine, toaster, iron, hairdryer, dish washer, PC, refrigerator, air-conditioner unit, range, dryer, heat pump (different modes of operation), BEV, water heater, light bulb and always-on load profiles.

    69 views
  • Smart Grid
  • Last Updated On: 
    Fri, 02/21/2020 - 11:09

    The purpose of distribution network reconfiguration (DNR) is to determine the optimal topology of an electricity distribution network, which is an efficient measure to reduce network power losses. Electricity load demand and photovoltaic (PV) output are uncertain and vary with time of day, and will affect the optimal network topology. Single-hour deterministic DNR is incapable of handling this uncertainty and variability. Therefore, this paper proposes to solve a multi-hour stochastic DNR (SDNR).

    26 views
  • Energy
  • Last Updated On: 
    Sun, 02/16/2020 - 09:39

    This file is Matlab extended (.Mex). There is a frequency file measured at one second intervals.

    The frequency regulation lithium battery takes into account the nonlinearity of the life and inputs the operating range of the SOC for the optimal design. The detailed calculation process will be presented in a separate paper.

     

    107 views
  • Smart Grid
  • Last Updated On: 
    Wed, 12/11/2019 - 12:53

    This work focuses on using the full potential of PV inverters in order to improve the efficiency of low voltage networks. More specifically, the  independent per-phase control capability of PV three-phase four-wire inverters, which are able to inject different active and reactive powers in each phase, in order to reduce the system phase unbalance is considered.  This new operational procedure is analyzed by raising an optimization problem which uses a very accurate modelling of European low voltage networks.

    256 views
  • Power and Energy
  • Last Updated On: 
    Thu, 11/14/2019 - 12:26

    We provide here a simple but fully functional platform for making peer to peer energy trading using the tobalaba network with block chain

    375 views
  • IoT
  • Last Updated On: 
    Sun, 01/05/2020 - 10:32

    Smart Grids (SG) are a novel paradigm introduced for optimizing the management of the power generation, transmission, distribution and consumption. A SG system can efficiently work only if all the components are connected through a communication network able to satisfy the SG applications requirements. Wireless communications are the most appropriate candidates for handling SG requirements due to their flexibility.

    52 views
  • Communications
  • Last Updated On: 
    Wed, 10/16/2019 - 19:47

    This folder contains two csv files and one .py file. One csv file contains NIST ground PV plant data imported from https://pvdata.nist.gov/. This csv file has 902 days raw data consisting PV plant POA irradiance, ambient temperature, Inverter DC current, DC voltage, AC current and AC voltage. Second csv file contains user created data. The Python file imports two csv files. The Python program executes four proposed corrupt data detection methods to detect corrupt data in NIST ground PV plant data.

    700 views
  • Machine Learning
  • Last Updated On: 
    Fri, 12/27/2019 - 12:52

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