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Transparent
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May 28, 2018

Open LV Trial - Making local substation data available to community groups

  • May 28, 2018
  • 20 replies
  • 2131 views

.OpenLV is a ground-breaking project that’s making local electricity data openly available for the first time ever, to benefit local communities and the wider energy industry. OpenLV is led by project partners Western Power Distribution and EA Technology. It is funded by Ofgem’s Network Innovation Competition. Project partner CSE is leading the community engagement, to support communities to access their local electricity data for local benefit. Regen is leading the evaluation of community groups taking part in OpenLV.

The OpenLV Project is trialling an open software platform in electricity substations that can monitor substation performance and electricity demand. The LV-CAP (TM) platform is designed to integrate with third party products to enable network control and automation, and increased customer participation in network management. The platform will host applications provided by a diverse set of developers, such as community groups, businesses and universities, providing a variety of services to network operators, communities and the wider industry.

As part of the OpenLV project, the software will be installed in 80 Low Voltage (LV) distribution substations located in Western Power Distribution’s (WPD’s)
licence areas – the Midlands, the South West and South Wales.

 

 

 

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Western Power Distribution covers areas with heavy industrial demand and high population density, such as the Midlands, Avonmouth and areas of South Wales. It also embraces rural regions with sparse populations such as mid-Wales, and others with high proportions of renewable energy, as in Devon and Cornwall. Balancing the grid-loading is becoming increasingly difficult, whilst upgrading the substations is prohibitively expensive.

Great Britain has about 1 Million Low Voltage (LV=230/440v) feeders from 230,000 ground-based substations and a further 320,000 pole-mounted transformers. These have largely been designed and operated on a fit-and-forget basis for the last 100 years, but this cannot continue. The LV networks are expected to see radical change as we, the customers, alter our behavior and requirements stemming from the vehicles we drive, to the generation and storage devices we put onto and into our homes.

 

 

 

 

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Many rural substations serve a very small number of homes, whilst in built up areas a single substation may serve hundreds. Larger consumers, such as tower-blocks, schools or hospitals, will often have their own substation.

The LV-CAP software could ultimately be deployed across the electricity network. The project will use three approaches to demonstrate the platform’s ability to provide benefits to the network owner, customers, and service providers. The OpenLV project could potentially enable data to be presented on websites and through phone apps which will help people to get to grips with things like:

 

 

 

  • Get to know my substation
  • Reducing costs of community energy
  • Influencing community demand for electricity
  • Electricity generation across a community
  • Demand-side response for managed EV charging
  • Community information alerts

 


The Community Trials commence on 3rd Sept 2018 and will last 9 months, followed by reporting and evaluation stages. Seven Community Trial sites are being coordinated by the Centre for Sustainable Energy (CSE) in Bristol. Of the total eighty substations sites in the Project, ten are designated for the Community Trial.

The OpenLV strategy will open up the usage-data from sub-stations, allowing us to see fluctuations in energy supply. We don't yet know whether grid-loading varies wildly, with large/rapid peaks and troughs, or smoothly, whereby peak-usage gradually increases and falls.

The Intelligent Substation Devices (ISD's) used during the Trials will allow Community Groups to evaluate methods to better utilise the electricity provisions within their sampling areas.

 

 

 

 

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We will be able to evaluate what effect various incentives have in altering consumer behavior. Individual houses will be able to compare the impact of their own electricity usage against the average for their local area. Based on that data they can better decide whether to invest in solar panels, grid-connected battery-storage or an Electric Vehicle (EV).

The Trials will include users being provided with real-time data showing the energy-mix plotted against the throughput on their own substation, allowing them to choose when they switch on appliances.

In future Energy Suppliers may offer tariffs which vary throughout the day depending on demand and local (solar/wind) generation. A substation with an ISD is analogous to it having a Smart Meter, allowing Suppliers to use higher and lower costs per half-hour charging-period to encourage consumers to prevent overloading of the local Grid.

Further information to follow:

 

 

20 replies

Transparent
Rank 20
Rank 20
May 29, 2018
.
OpenLV operates like a Smart Meter, but monitors a ground-based electricity substation. The Intelligent Substation Device measures current & voltage on all phases and feeds from that substation. It also takes temperature readings, which reveal the energy loss within the oil-filled transformer.

A typical substation might serve 150 houses using three feeds. The nominal 50 houses on each Feed will be divided between the three phases.

The following diagram shows where an OpenLV ISD sits within the electricity network during the Community Trials:





Within the diagram above, the EV Charger with Vehicle-to-Grid facility is shown in its final configuration, whereby the charge/discharge is controlled by pre-configured preferences, which are then delivered via the SMETS2 Meter. The charger operates as an Auxilliary Load Control Switch (ALCS), taking commands from the meter over the Zigbee mesh network.

By contrast, the home Storage Battery is depicted in a "trial-mode". Prior to SMETS2 being made available, commands for charge/discharge can be sent via the internet. Whilst less secure, it enables the development of software to configure preferences and data-input to tariff/billing systems.

Further information to follow:
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Transparent
Rank 20
Rank 20
May 29, 2018
.
A short video explaining current problems with electricity distribution in the UK and how the OpenLV Project hopes to address these:



Contrary to the invitation at the end of the video, applications to take part in the Trial are now closed. The seven successful Community Projects are listed on the CSE website here.

News from the Trial will be posted here, and OVO Forum Members will have opportunities to comment on the technology and the data provided by the substations being monitored. Your observations and feedback will assist in the shaping of solutions for Electricity Grid monitoring and control once this OpenLV Trial-phase is completed.
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Tim_OVO
OVO Staff
OVO Forum Legend
May 14, 2021

Look what I found, @Transparent - who knows the latest with this OpenLV project?

Carbon neutral - we need a community to get there! My green tech: Aclara SGM 1411-B smart meter, Chameleon IHD6
Jess_OVO
OVO Staff
OVO Staff
October 8, 2021

Just reading up on this exciting-sounding trial. Looks like they’ve made the end-of project documents available on their website here.

 

Had a chance to check them out yet, @Transparent

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Transparent
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October 9, 2021

Well that’s the “glossy” end-of-project report @Jess_OVO !

About half of my own data can’t be released publicly because it either identified properties on maps belonging to Western Power or else it highlighted system weaknesses.

There were three groups in the OpenLV Project whilst funded by Ofgem. The academic studies (group-1) and all but two of the commercial studies (group-2) finished when the project ended. That was the extent of the certification for the prototype monitoring equipment across the 80 transformers.

However, Western Power have retained two monitored substations, and all fourteen of those monitored by Community Groups (group-3) are still operating. These use new equipment installed by EA Technology with fresh certification.

For interest, here’s some data from yesterday (Fri 8th Oct) and overnight to this morning:

substation feed to approx 100 houses

The graph shows the current supplied by a substation from just one of its 3-phase feeds at 10min intervals.

L2 takes much less current during daytime, possibly due to more houses on that feed having PV Solar Panels. This is a clear case of phase-imbalance, resulting in losses at the transformer.

The phases gradually come back into alignment during the evening and enter balance just before 11pm. They remain in that state until 6:20 this morning (Saturday) when L3 starts rising again.

Also of interest here are regular sinusoidal current-demands. I’ve highlighted an area around lunchtime yesterday when L2 has a series of 4 cycles with a period of 25 minutes.

Such low-frequency oscillations are clearly man-made, and most likely due to hysteresis on a heating system. To have such a pronounced effect suggests either a public building or a community-run heat-pump is the cause.

Both L1 and L3 also exhibit similar cyclic current-demand, but there is little synchronisation between the phases. These are therefore most likely also due to single-phase appliances.

Losses are of interest to Distribution Network Operators who are required to reduce them under their RIIO agreements with Ofgem. In this case the losses could readily be addressed by applying storage control techniques using the Flex Platform and/or supplying the heat-pumps from off-grid batteries.

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Transparent
Rank 20
Rank 20
October 14, 2021

By way of comparison, here’s a graph from another local substation which also shows phase-imbalance. However, in this case Phase-L3 is permanently under-loaded compared with the other two.

lightly loaded substation

These losses due to phase-imbalances are very common. Adding Low Carbon Technology such as Smart chargers and Heat pumps is currently making matters worse.

Without addressing this issue, it is unlikely that Distribution Network Operators (DNOs) will be able to meet efficiency targets under their forthcoming RIIO-ED2 agreement with Ofgem.

This is an important factor in the fight against Climate Change. Energy is a valuable commodity and we cannot afford to treat it with such profligacy.

Without an overall intelligent load-control mechanism, such as Flex or Octopus’ Kraken-flex, we cannot readily combat this needless wastage.

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Jeffus
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October 14, 2021

By way of comparison, here’s a graph from another local substation which also shows phase-imbalance. However, in this case Phase-L3 is permanently under-loaded compared with the other two.

lightly loaded substation

These losses due to phase-imbalances are very common. Adding Low Carbon Technology such as Smart chargers and Heat pumps is currently making matters worse.

Without addressing this issue, it is unlikely that Distribution Network Operators (DNOs) will be able to meet efficiency targets under their forthcoming RIIO-ED2 agreement with Ofgem.

This is an important factor in the fight against Climate Change. Energy is a valuable commodity and we cannot afford to treat it with such profligacy.

Without an overall intelligent load-control mechanism, such as Flex or Octopus’ Kraken-flex, we cannot readily combat this needless wastage.

Using this as an example, can we tell roughly how many kWh are being "lost" at this substation and roughly what percentage is the loss?

Is it difficult to switch individual homes or groups of homes from one phase to another, appreciating this isn't a long term fix?

Transparent
Rank 20
Rank 20
October 14, 2021

That’s a tricky question @Jeffus 

At the start of the OpenLV Trial, the prototype LV-CAP monitors had three temperature sensors, one of which recorded the transformer cooling-oil. The units installed now have no temperature monitoring.

The rise in temperature provides a reasonable estimation of the amount of energy being lost as heat for transformers operating well inside their maximum specification. Those running at 80% or more of max-load will obviously also experience a measurable temperature increase due to the throughput current.

The transformer is a multi-material device which includes the magnetic core, copper coils, coolant and outer-casing. A typical unit might have a mass in the region of 1500Kg to 3000Kg, of which half will be the mass of the windings and core.

Small transformer; 315kVA

I’ve monitored a 500kVA transformer (mass 2000Kg) enclosed within an unheated brick building, showing a temperature difference of  +15°C compared with the outside air.

At 8pm the coolant oil was a maximum of 32°C caused mainly by phase-imbalance from solar-panel operation during a sunny day, plus a small amount for the period of evening demand. At this moment the coolant temperature sensor was dislodged from its position and fell onto the concrete floor, about 1m below the sensor for the interior air temp.

The red line on the graph shows a 10°C temperature drop from the cooling oil and a further 2°C due to the floor being colder than the position of the air-temp sensor.

At an average daytime current of around 100A, this transformer was operating at about 10% of its maximum specification. The temperature rise due to the early-evening peak demand is therefore very low.

Reverse the problem for a moment and consider how much energy you would need to put into that 2-tonne transformer to raise its temperature by 10°C. That’s an indication of the losses we’re considering.

As I’m not a mathematician, I’ll also just tag @Simon1D and see if his skill-set can give us a reasonable approximation.

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Rank 2
October 14, 2021

Thanks, @Transparent.

donning my metrologist’s hat ...

I’d go with your approach, which starts from the undeniable assertion that energy “lost” somewhere accumulates as heat, either right where it’s lost or wherever it might be transported to, e.g. via a cooling system. My knowledge of substation transformers is close to zero, but they are evidently massive (tonnes) and benefit from active cooling. That cooling system will have a rating (specified to remove heat at a rate of x kW from a source without the source temperature rising above some value T) and that coolant temperature sensor could be calibrated (provided it hasn’t fallen off) in terms of the power of that heat transfer. Making due allowance for the effects of smoothing (a few tonnes of iron should be fairly good at smoothing out fluctuations in heating power from these losses), the last element of the estimation would involve allowing for heat that would be dissipated when the phases are balanced (transformers have less than 100% efficiency at the best of times) in order to see what is the excess heat that could be attributed to dealing with phase imbalances.

I have a sneaking suspicion that I’ve added next to nothing to what @Transparent would have said anyway, but am happy to confirm. (I think this is more of a physics/measurement problem than a maths one, though I wouldn’t dodge the calculation if I’d arrived at one. I should add that, although heat and its measurement is actually what I’ve specialised in, professionally, that was on a scale many orders of magnitude smaller (mW and uW instead of tens of kW).

 

PS On the specific point:

Reverse the problem for a moment and consider how much energy you would need to put into that 2-tonne transformer to raise its temperature by 10°C. That’s an indication of the losses we’re considering.

That might be thought to hint at a lot of heat being needed, which is true, but once the transformer is warm, that’s it. What counts is the ongoing extraction of heat by that cooling system. And, for the question at hand, the key question is the difference between the run of the mill warming (with balanced phases) and the extra warming (due to the imbalance). Maybe worth comparing temperature logs from days of otherwise similar demand on the substation, days which differ significantly in the solar PV power fed into the grid.

Just looking in more detail at those plots, I suppose that on a sunny day, the “interior air” temperature would go up in the afternoon anyway, and that is fairly clear from the yellow line. but there is a hint of a variation in the cooling system temperature that slightly lags that variation, just as one might expect from the warming effect of an afternoon peak in the phase imbalance losses coming from solar PV fed into the grid. The fact that that’s a barely perceptible variation on an excess of the order 10 K may be a hint that it’s not toooooo bad after all, because that means that the ordinary losses are still dominant. I think.

Except, looking back further, I see that this poor transformer faces a persistent phase imbalance, so that constant background is already more than normal transformer losses.

I’m getting further and further out of my depth, here, so I’ll be off now - but thanks for the diversion from coding :-)

 

(At risk of boring through repetition:

metrology = the science of (usually physical) measurement

and I am a theoretical physicist who ended up as a metrologist)

Simon
Jeffus
Rank 20
Rank 20
October 14, 2021

Thanks for the prompt replies. 

The imbalance i can see in the graphs. Is all the imbalance lost as heat, ie the delta between the lines on the graphs? Can we see how much power is being lost simply by analysing the data in the graphs?

Do all 3 phases ideally need to be in perfect balance so there is no loss?

My questions may be showing my lack of knowledge 😊