The Impact of Sustainable Communities on the Low Voltage Distribution Network

ADMD Results

 

After diversity maximum demand (ADMD) is an index that industry uses to determine what size to make electricity wires as explained in the literature review.

 

There were two different ADMD values calculated for each scenario due to time constraints within the project. Ideally, to calculate the diversity of each scenario, random profile shifting would occur for each. This is because not everyone would turn their kettle on at exactly the same time for example, so simultaneous loads are not realistic in energy demand profiles at the substation level. The random profile shifting would have allowed the Tool to apply real diversity by the inclusion of an arithmetic algorithm to randomise the shifting of the load profiles. The Diversity Factor would have been an output of the Tool which would have given a more realistic ADMD value estimation. Due to the time constraints of the project this algorithm was not included in the functionality of the tool.

 

Since the Tool does not have randomised diversity, published diversity factors which were dependant on the number of homes within a scenario, were applied. However, the published diversity factors that were used within the tool were not convincing as the group were sceptical of the validity of these values and so were not ideal for the purposes of the ADMD results. For this reason and for the purpose of the results, a worst case ADMD was assumed which effectively dismissed diversity. In reality the real ADMD values were considered to be somewhere in-between the diversified and the worst case. As an aside, the Diversity Factors can be changed according to user preference upon download.

Since the Tool does not have randomised diversity, published diversity factors which were dependant on the number of homes within a scenario, were applied. However, the published diversity factors that were used within the tool were not convincing as the group were sceptical of the validity of these values and so were not ideal for the purposes of the ADMD results. For this reason and for the purpose of the results, a worst case ADMD was assumed which effectively dismissed diversity. In reality the real ADMD values were considered to be somewhere in-between the diversified and the worst case. As an aside, the Diversity Factors can be changed according to user preference upon download.

 

Table 1 below, displays both the diversified and the worst case ADMD. The published ADMD value on a per home basis and relative to the housing model was 9kW (Networks, 2013). In general this meant that all values below the value of 9kW was within the wire capacity and the values above 9kW were out with the wire capacity.

 

For the purpose of the results and conclusions, the predicted worst case ADMD was assumed as the actual ADMD value was thought to be somewhere between the diversified value that was established from the published diversity factors and the worst case.

 

The downloadable WRISC Tool will display results which include diversity from the published Diversity Factors.

 

 

 

 

 

Scenario

 

Description

ADMD Per Home (kW) Diversified

 

ADMD Per Home (kW)

0

Gas Fired Heating With A Conventional House

0.75

2.0

1a

30% Deployment Of HP

0.80

2.0

1b

60% Deployment Of HP

1

2.5

1c

Full Deployment Of HP

1

2.5

2a

30% Deployment Of Total Electrification In Smart Grid Scenario

1

2.5

2b

60% Deployment Of Total Electrification In Smart Grid Scenario

1.5

3.0

2c

Full Deployment Of Total Electrification In Smart Grid Scenario

2

5.0

3a + 2c

Full Deployment Of Total Electrification In Smart Grid Scenario + 30% Deployment Of EV’s At On Peak Fast Charge

3

7.0

3b + 2c

Full Deployment Of Total Electrification In Smart Grid Scenario + 60% Deployment Of EV’s At On Peak Fast Charge

3.5

9.0

3c + 2c

Full Deployment Of Total Electrification In Smart Grid Scenario + Full Deployment Of EV’s At On Peak Fast Charge

4.5

11.5

Table 1- ADMD Results

Initially when the wires were put in, they had a high level of resilience and this was confirmed by the result of scenario 0. This gave a resilience of around 450% in the wires. Therefore scenario 0 was of low concern to utilities as the grid was designed with these types of scenarios in mind and has a very high resilience.

 

From the results of scenario 1, it can be concluded that if the UK was to move towards heat pumps as a heat source, then it would impact the ADMD values but not to an extent that would compromise the resilience of the wires and therefore again these were scenarios of low concern.

 

The ADMD number started to increase when the electrification of housing was introduced in scenario 2. Although even with full deployment of electrification the ADMD value was still within the published value of 9kW. This scenario demonstrated how much resilience was built into the existing wires. However, when contrasted with the result of scenario 0, scenario 2c was more than double. Therefore from this perspective it causes some concern to utility companies.

 

The real issues that cause great concern to utility companies, was with the addition of electric vehicles (EV) in scenario 3. 3b brings the ADMD value to the maximum of 9 and if the scenario was seen to be a future possibility, the wires would need to be upgraded. An even more serious issue was scenario 3c, when there was one EV per home which pushed the predicted ADMD value over the published figure. Therefore this scenario causes high concern on the impact of the low voltage distribution network if this future scenario were ever to become a reality.