Storm Bert: Latest update

CLASS research

CLASS research

New monitoring equipment, providing sampling rates advised by the University of Manchester, was deployed at all 60 primary substations in the trial area and at tactical points on the distribution network. This high accuracy, high resolution monitoring was used to record all trial data.

The trials were developed to gain a full understanding of all the functions and their responses at different times of day and on different days of the year.

The academic research carried out by the University of Manchester, using the real-time data, has shown that a time dependent static load model, rather than the more complex dynamic model, can be used to estimate load response to changes in the voltage at primary busbars.

The trial results have shown that demand response changes both seasonally and diurnally. From the data observed during the trials the University of Manchester has been able to produce a set of indicative voltage/demand matrices that mathematically quantify the relationship between voltage and demand, allowing the estimation of the demand response for different load compositions.

Load profiling and modelling report

Study of demand profiles through modelling and validation using high-resolution field measurement data.

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Offline demand response capability assessment

Study of estimated load models and capability of primary substations to deliver demand response.

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Reactive power absorption capability

Study of estimated load models and capability of primary substations to deliver reactive power absorption capability.

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Asset health final report

Study of the possible impact of CLASS techniques on the health of transformer main tanks and tap changers.

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Carbon impact final report

An overview of the carbon impact assessment approach and findings of the CLASS method.

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