Estimation and Validation of Characteristic Load Profile through Smart Grid Trials in a Medium Voltage Distribution Network

Xiaoqing Tang, Kazi N. Hasan, Jovica V. Milanovic, Kieran Bailey, Stephen J Stott

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Load modelling has attracted renewed interest recently in maintaining peak load conditions, supplying new types of loads and accommodating more renewable generations onto electricity networks. This paper presents a methodology for the development of a static load model based load characteristic profile in medium voltage distribution networks from year-long field measurements. High-resolution load monitoring devices with the 1s sampling rate installed at 60 primary substations in the UK distribution network are used to collect the data for the purpose of load modelling. Load models at these 60 substations comprising domestic, commercial/industrial and mixed-type load demand are presented in the paper together with relevant model parameters. Field trials (which involve triggering transformer taps to initiate voltage changes) were performed throughout the year on 15 selected substations aimed at load profile validation. The developed load profiles take into account seasonal, weekly and daily variations of P-V and Q-V characteristics. Representative 24h (0.5 hourly) load matrices are developed for all 60 substations and provide an insight into the operational flexibility and network resilience to voltage variations.

    Original languageEnglish
    JournalIEEE Transactions on Power Systems
    Early online date17 Aug 2017
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Autoregressive processes
    • Data models
    • distribution networks
    • load characteristic profile
    • Load modeling
    • Mathematical model
    • Measurement based load modelling
    • Monitoring
    • smart grid trials
    • Substations
    • Voltage control

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