The network value of distributed generation

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Presentation transcript:

The network value of distributed generation Dr Scott Kelly, Institute for Sustainable Futures Jay Rutovitz, Ed Langham, Lawrence McIntosh Australian Utility Week 2016, Sydney 30th November 2016

Research questions isf.uts.edu.au What are the long term costs and benefits of an lgnc? At a macro level what is the Total Economic Cost over the long term? At a consumer level what is the effect on consumers electricity bills? Economic and Scenario modelling How might peak network demand (MW) grow under different scenarios? How might net imports and net exports change over time? What are the economic costs and benefits of an LGNC and avoided network augmentation? isf.uts.edu.au

model hierarchy isf.uts.edu.au A. B. C. D. E. F. G. H. I. M. Sub transmission High voltage M. isf.uts.edu.au

Representative agent model Residential + PV Commercial + Cogen isf.uts.edu.au

MODEL Limitations Long time horizons and uncertainty in rapidly changing market Deterministic model with two exogenous scenarios Approximates each customer category as an average representative ‘agent’ Does not include costs of upgrading network to handle increased distributed generation Does not include savings associated with replacement expenditure savings associated with downsizing Data for one state only – looking to expand! isf.uts.edu.au

Scenario assumptions isf.uts.edu.au Customer numbers, capacity and generation are for NSW LGNC payments are NOT made to existing generation LGNC payments are NOT made to generation under <10kW Networks have sufficient capacity to avoid investment until 2025 (~600MW) 80/20 benefit share (80% benefit goes to generators / 20% to Networks) Growth projections are modelled from AEMO projections LRMC values independently estimated from Energeia work Costs (augmentation and LGNC payments) allocated to customers on a volumetric basis isf.uts.edu.au

Gross generation isf.uts.edu.au

Consumption Gross Consumption Net (Import) Consumption isf.uts.edu.au

Growth in peak demand isf.uts.edu.au

Change in peak profile in 2050 isf.uts.edu.au

Economic costs and benefits isf.uts.edu.au

Incremental costs isf.uts.edu.au

Economic costs and benefits Cumulative economic cost by scenario (NPV of augmentation and NPV of LGNC payments) Network: weighted average of Ausgrid and essential parameters (66%, 34% Essential) isf.uts.edu.au

Impact on consumer bills All consumers see decreases in their average annual electricity bills isf.uts.edu.au

Network utilisation avoided augmentation from System losses 𝑁𝑒𝑡𝑤𝑜𝑟𝑘 𝑈𝑡𝑖𝑙𝑖𝑠𝑎𝑡𝑖𝑜𝑛= 𝐴𝑐𝑡𝑢𝑎𝑙 𝐿𝑜𝑎𝑑 (𝑀𝑊ℎ 8760 × 𝑃𝑒𝑎𝑘 𝐿𝑜𝑎𝑑 (𝑀𝑊 avoided augmentation from System losses Electricity losses from GWh avoided 2015 2020 2030 2040 2050 Transmission / System $0.0 m $0.3 m $6.0 m $15.8 m $28.1 m isf.uts.edu.au

LGNC paid to SMALL systems? (<10 KW) Recommend excluding systems < 10kW as economic benefit increases by $113m to 2030 (from $-9m to $104). isf.uts.edu.au

What happens if demand growth is flat? Sensitivity testing for range of demand growth rates Net economic benefits are highly asymmetric because the marginal value of an avoided kW is 2.5 times the price of an LGNC payment. isf.uts.edu.au

OTHER Sensitivity isf.uts.edu.au The year network augmentation is first required Rate of growth of local generation in the LGNC scenario compared to BAU Including non-locational transmission costs in the LGNC payments. RESULT: benefit is reduced for later years; all cases tested had long term benefit RESULT: in general, more local generation increased the benefit AUSGRID PARAMETERS RESULT: no significant effect isf.uts.edu.au

Conclusion isf.uts.edu.au The LGNC scenario has network costs that are 60% lower than the costs of BAU Total Economic Costs and Benefits 2020 2030 2050 (Cost) Benefit ($6 m) $104 m $1,180 m All customer categories will see reductions in electricity bills between 2025 and 2030 Our conclusions are robust to a range of sensitivity tests Growth in distributed generation (-50%/+50% -> $213m/$1,442m) Change in growth of underlying peak demand (below 0.2%) Available spare capacity on the network (2030 -> $655m) Through this modelling we are able to make the following recommendations: Exclude distributed generators below 10kW and above 30MW Exclude all existing distributed generators In the worst case scenario the LGNC will cost nothing in the best case scenario it will save hundreds of millions for NSW and billions for Australia isf.uts.edu.au