Distributed Storage vs. Local Market Clive Tomlinson 05/06/2015 - - PowerPoint PPT Presentation

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Distributed Storage vs. Local Market Clive Tomlinson 05/06/2015 - - PowerPoint PPT Presentation

May 12, 2023 452 likes •619 views

Distributed Storage vs. Local Market Clive Tomlinson 05/06/2015 1 Two questions Energy markets tend to be constrained Historical/technical reasons Local markets for many other goods are unconstrained Would an unconstrained

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Distributed Storage vs. Local Market

Clive Tomlinson

05/06/2015 1

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Two questions

  • Energy markets tend to be constrained
  • Historical/technical reasons
  • Local markets for many other goods are unconstrained
  • Would an unconstrained local energy market ‘work’?
  • Private storage benefits limited to deferring self-

consumption

  • No benefit without own PV
  • No benefit for other users
  • How would private storage behave in an unconstrained

local market?

05/06/2015 2

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‘Unconstrained’

  • Traders few and central
  • Price set centrally
  • One trade at a time
  • Commit early
  • Trade in 30 minutes++
  • Trade synchronously
  • Bird’s eye view
  • Reliance on forecasting
  • Distorted by FIT
  • Home owner traders
  • Price negotiated per trade
  • Overlapping trades
  • Commit late
  • Trade in shrew’s heartbeat
  • Trade asynchronously
  • Market stall view
  • Abandon forecasting
  • No FIT

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Market model

  • Power network
  • Coincident with low voltage feeder
  • Varying DG and private storage
  • Energy  volt gradient
  • Trading network
  • Traders = households & local businesses
  • Assumes conventional supplier of last resort
  • Trading down to 10s blocks
  • Data network
  • Domestic broadband / Internet
  • Home trading agent

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Economic model

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Data Network Data Network Data Network

Discrete-event simulation

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Data Network x 200 Storage management heuristics

Trading models

Price setting heuristics

Simulated demand, generation, storage

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Live network 

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Does it work?

  • Trades happen
  • But not constantly
  • Households make/save money
  • At the expense of the incumbent supplier
  • Benefit to all local participants
  • Storage owners: price arbitrage
  • DG owners: market price > conventional supplier buy price
  • Non-owners: market price < conventional supplier sell price
  • Here are some pictures…

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Local price proxies local abundance

demand response to price without price setting Prices shown are average – there’s no single market price

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Selfish control, network effects

05/06/2015 10 500 1,000 1,500 2,000 2,500 300 600 900 1200 1500 1800 2100 2400 2700 3000 Consumption of energy from OFF-LF (kWh/d)

kWh storage

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Localism  modest ICT

  • even for n * (n-1)

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10 20 100 200 1.00E+00 1.00E+01 1.00E+02 1.00E+03 1.00E+04 1.00E+05 10 60 600 3600 86400 Size of LEM Application bytes sent per second, average (whole LEM) Trading interval (s)

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Storage modifies price curve

  • No storage: price curve discontinuous
  • Some storage: price curve smooth,

equilibrium in mid range, local trading increased

  • T
  • o much storage:
  • no shared energy availability pattern,
  • price unstable,
  • local trading decreased

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£££ manage flows

  • Intervene by selling cheap before evening demand peak

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  • 20
  • 18
  • 16
  • 14
  • 12
  • 10
  • 8
  • 6
  • 4
  • 2

6 7 8 9 Energy flow out of (into) LEM (kW) Time of day (h)

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Conculsions

Qualitatively tested

  • Numbers depend on so many things…

energyBay?

  • T

echnical 

  • Regulation 
  • Business ambition / consumer desire ?

Good market for storage, but is it best?

  • So many market model nuances
  • That’s a puzzle

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Read the details

  • Proceedings of ICE – Energy,

Volume 168 (2015)

  • Or from clive@swanbarton.com

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