Curtailment and Network Voltage Analysis Study (CANVAS)

Page 64

Figure 39 Monthly distribution of generation curtailed by V-VAr characteristic for the 100 Solar Analytics sites with highest VArs

6.3.4 Volt-var curtailment (scenarios) In previous sections, it was seen that the majority of BESS and D-PV inverters do not show any V-VAr response. Therefore, the obtained V-VAr curtailment results are not representative of the ideal case where each BESS and D-PV inverter would show the required V-VAr response according to local voltage conditions and relevant standards. The V-VAr scenario analysis conducted tries to address this point and aims to present results that are more representative of DER future where majority of BESS and D-PV inverters are installed with the respective V-VAr response mode by default. The scenario analysis results are firstly presented for BESS systems from AGL dataset followed by D-PV systems Solar Analytics dataset.

6.3.4.1 AGL dataset Similar to the V-VAr curtailment analysis applied on real operational data from BESS, V-VAr scenario analysis is carried from both energy user’s and aggregator’s perspective. Figure 41 shows the distribution of percentage of total generation curtailed by V-VAr according to the studied V-VAr curves (see Figure 9) from the energy user’s perspective. The results are presented alongside the real measured data. The following Table X presents the key summary statistics for each distribution. It is seen that V-VAr curtailment from the energy user perspective is higher under the modelled V-VAr scenarios compared to the actual case. However, V-VAr curtailment is still insignificant, less than 1% of total generation under all analysed scenarios. Amongst the four analysed V-VAr curves, the ENA recommendation results in the highest amount of V-VAr curtailment and AS 4777-2015 results in the smallest amount of V-VAr curtailment.

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Appendix A: Methodology

7min
pages 79-83

8.1 Next steps

2min
page 78

References

5min
pages 89-93

Appendix B: Details of project plan

11min
pages 84-88

8 Concluding remarks

3min
page 77

7 Socio-technical insights

9min
pages 72-76

6.5.2 Financial impact for D-PV sites

1min
page 70

6.5.3 Upscaled curtailed generation & emissions impact

2min
page 71

6.4 Summary of curtailment findings

1min
page 67

6.3.4 Volt-var curtailment (scenarios

3min
pages 64-66

6.3.3 Volt-var curtailment (real case

6min
pages 58-63

6.3.2 BESS and D-PV Volt-VAr curves

5min
pages 52-57

5.4 Measures to address curtailment

15min
pages 36-40

6.2.2 BESS ‘tripping’ (anti-islanding and limits for sustained operation

0
page 48

2.4 Prior work on social aspects of curtailment

3min
page 17

5.3 Perceived impacts of curtailment

9min
pages 33-35

2.6 Key gaps that CANVAS aims to address

3min
page 20

4.2.2 Tripping (anti-islanding and limits for sustained operation) curtailment

1min
page 27

4.2.3 Volt-VAr curtailment

4min
pages 28-29

3.1.4 Bureau of Meteorology (BOM) weather data

0
page 22

2.5 Prior data-driven technical analyses of DER voltage control and curtailment

7min
pages 18-19

5.2 Knowledge and experiences of curtailment

3min
page 32
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