Load profiling for settlement of accumulation meters Power of - - PowerPoint PPT Presentation

load profiling for settlement of accumulation meters
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Load profiling for settlement of accumulation meters Power of - - PowerPoint PPT Presentation

Load profiling for settlement of accumulation meters Power of Choice Stakeholders Reference Group Third Meeting Melbourne , 11 May 2012 Current AEMO procedure Used to settle non-interval metered consumption in the half-hourly wholesale


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SLIDE 1

Power of Choice Stakeholders Reference Group Third Meeting Melbourne , 11 May 2012

Load profiling for settlement of accumulation meters

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SLIDE 2

Private and Confidential 1

Current AEMO procedure

  • Used to settle non-interval metered consumption in the half-hourly wholesale

market

  • Applies to second tier customers with consumption less than

– 160MWhpa in VIC, SA, ACT – 150 MWhpa in NSW – 100 MWhpa in QLD

  • NSLP for a given profile area is created as follows:
  • Controlled loads are separately profiled; the CLP is subtracted from the

remaining consumption of customers with controlled loads

Energy inflows to the profile area * MLF Energy generated within the profile area * MLF * DLF Half-hourly load within the profile area * MLF * DLF

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SLIDE 3

Private and Confidential

The UK approach

  • ‘Profiling Taskforce’ established in 1994 to define the number and types of

profiles to be used in the Electricity Pool

  • Why: “to avoid the huge and prohibitive costs of putting Half-Hourly metering

into every supply market customer”

  • Applies to all customers below 100 kW Maximum Demand
  • ‘8 generic Profile Classes were chosen as they represented large populations
  • f similar customers’
  • All profiles are at half-hour interval level
  • Samples are stratified by consumption and weighted by 12 GSP areas)
  • Profiles are created for

– 3 day types (weekdays, Saturday, and Sunday) – 5 ‘seasons’ (Autumn, Winter, Spring, High Summer, Summer)

  • http://www.elexon.co.uk/wp-content/uploads/2012/01/load_profiles.pdf

2

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SLIDE 4

Private and Confidential

UK profile classes

  • Half-hourly electricity daily load profiles for 8 standard UK profile class

definitions

– 01 Domestic Unrestricted – 02 Domestic Economy 7 – 03 Non-domestic Unrestricted – 04 Non-domestic Economy 7 – 05 Non-domestic Maximum Demand 0-20% Load Factor – 06 Non-domestic Maximum Demand 20-30% Load Factor – 07 Non-domestic Maximum Demand 30-40% Load Factor – 08 Non-domestic Maximum Demand >40% Load Factor)

  • Important differences to the NEM:

– Monthly bills – Demand register meters

  • Also worth noting that UK has since made a significant commitment to interval

metering – currently engaged in a national rollout whereby all households expected to have smart meters and IHDs by 2020

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Demand register meters Two-register meters

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SLIDE 5

Private and Confidential

A proposed alternative – NEDRI (US 2003)

  • Cited an important opportunity as being:

“the role that short-term, price-responsive load can play in real-time and day-ahead power markets . . . Experience [has] demonstrated that a relatively small amount of price-responsive load can enhance system reliability if there are reserve shortfalls and substantially reduce market-clearing prices during tight market conditions, producing significant benefits to consumers.”

  • Noted that profiling is a barrier:

– Reduces incentive to the individual customer – any reduction in energy use at times of peak (or in any interval) is effectively spread over all hours of the billing period -- the load reduction is not credited to the appropriate hour – Provides no incentive to the Retailer to change customers’ load profile, as the benefit will be shared with all retailers

  • Identified a number of recommendations required to

“create sufficient price-responsive load so as to improve the performance, efficiency and reliability of wholesale electricity markets”

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SLIDE 6

Private and Confidential

NEDRI recommendations for how load profiles could assist

  • Regulator should consider requiring DBs to establish and maintain “special”

load profiles to ensure that non-interval metered customers who want to participate in demand response programs receive the full financial benefits available from those programs

  • Load profiles should be adequate to support “rate design, class and subclass

settlement, and other purposes (such as interruptible programs)”

  • Assumes the load profiles would be used to:

– verify the load reductions of the participating customers on a statistical basis, and – ensure the Retailer gets the full benefit of the load reduction in the wholesale market (part of which would presumably be shared with the customer to encourage participation)

  • Noted that:

– “Implementation details may need to be worked out” – Benefits and costs would need to be considered: i.e., do smaller customers have the potential to reduce their load to a degree great enough to warrant the effort that would be required to establish the new load profiles?

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SLIDE 7

Private and Confidential

Possible rationale and criteria for profiling in the NEM

  • Accuracy (user pays/fairness)
  • Provide price signals to inform consumer decision-making
  • Provide basis for demand management programs for non-interval metered

customers

  • Least cost (avoid the cost of metering where profiling can provide an

acceptable alternative considering the other criteria)

  • Does not create a barrier to further technological improvement

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SLIDE 8

Private and Confidential

How does current profiling approach stack up?

  • Accuracy (user pays/fairness)

POOR OOR --

  • - Significant inter- and intra-class subsidies

– Small commercial probably subsidising residential customers

  • Commercial shape flattens residential shape

– Intra-class subsidies likely between, for example:

  • AC and non-AC residential customers
  • Residential customers with different household occupancy patterns
  • Commercial customers with different operating schedules
  • Provide price signals to inform consumer decision-making

POOR OOR

  • Provide basis for demand management programs for non-interval metered

customers

POOR OOR

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  • n
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SLIDE 9

Private and Confidential

Composition of Energex system peak demand (24 Jan 2006)

8 Streetlighting Residential HW Residential (ex DHW) Other C&I w/out int. meters Medium C&I with int. meters (T4) Large C&I with int. meters (T1 - T3) Losses

500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 5,000 5,500 6,000 6,500

00:30 01:30 02:30 03:30 04:30 05:30 06:30 07:30 08:30 09:30 10:30 11:30 12:30 13:30 14:30 15:30 16:30 17:30 18:30 19:30 20:30 21:30 22:30 23:30

Time of Day MW

Energex Total Load System Peak 4,133 MW @ 4:30 PM

back

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SLIDE 10

Private and Confidential

How does current profiling approach stack up?

  • Least cost (avoid the cost of metering where profiling can provide an

acceptable alternative considering the other criteria)

Mixed ed – Has avoided the cost of metering – but performance on other criteria is poor

  • Does not create a barrier to further technological improvement

Good

  • od – No reason to believe the current profiling approach has created a barrier to the

use of interval metering

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SLIDE 11

Private and Confidential

Alternative approaches for load profiling in the NEM

  • Break current load profile by residential and non-residential or specific tariff

classes that are still on accumulation meters

  • Try to create classes that reflect customers with similar load shapes

– Small commercial

  • 5 day operation primarily business hours
  • 5 day operation extended hours
  • 6+ days

– Residential

  • Appliance stock (particularly AC, possibly pool pumps and controlled hot water; PV might be
  • f interest)
  • Household occupancy pattern (household composition as a surrogate)
  • Climate zone (addressed to some extent by current profiling by DB area – probably not

adequate in larger DB areas)

  • Demand response program samples

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Private and Confidential

How do these alternatives perform against the criteria

Criteria Residential / Small Commercial Load shape segments Demand response program samples Accuracy (user pays/fairness) Better than currently Very good Good – but mostly limited to participants Price signals to inform consumer decision-making No better than now No better than now Good Basis for demand management programs No better than now Possibly a little bit better than now Very good Incentive to Retailer No better than now Possibly a little bit better than now Very good Least cost Very little incremental cost Potentially very high costs Moderate costs Avoids technology barrier Good Poor Poor

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SLIDE 13

Private and Confidential

Implementation issues

  • Residential / Small commercial

– Presumably mandatory – Samples for creating the profile could be developed using same general approach as used for control load profile

  • Load shape segments

– Could be mandatory or opt-in – Mandatory would be extremely expensive to set up initially and maintain

  • Would require updates whenever facility occupancy, occupancy pattern, or possibly

appliance stock changed

  • Probably highly contentious and open to gaming (which would add to cost and backlash)

– Opt in would make the NSLP increasingly accurate and probably increasingly unappealing

  • Could provide an entry for demand management service providers (including retailers), but

would require verification

  • Demand response profiles

– Chicken and egg problem – but could be addressed to the extent that DBs become more active in broad-based DM programs

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SLIDE 14

Private and Confidential

Final thoughts

  • Residential / small commercial

– Makes nothing worse and some things marginally better – Appears to be low cost

  • Load shape segments

– Probably more trouble than they are worth

  • Demand response program samples

– Good if they happen as a by-product

  • As in many other aspects of the NEM, it is hard to satisfy all objectives at once
  • Questions remain as to:

– Where we are going with smart meters and how quickly, and – And in light of that, how important are the other potential benefits of ‘better’ profiles and over what timeframe?

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Private and Confidential 14

Lan Lance H Hoch

  • ch

Oakley Greenwood Pty Ltd GPO Box 4345 Melbourne 3000 +614 1172 1386 lhoch@ ch@oak

  • akleyg

eygreen eenwood

  • od.com
  • m.au