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Market data and SDDP modelling

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Title: Slide 1 Author: zorro_jon Last modified by: Philpott Created Date: 6/16/2005 2:31:19 AM Document presentation format: On-screen Show Other titles – PowerPoint PPT presentation

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Title: Market data and SDDP modelling


1
Market data and SDDP modelling
  • Brian Bull (brian.bull_at_electricitycommission.govt
    .nz)

2
Three apparently unrelated topics
  • The joys of modern dentistry
  • Half-hourly data in the ECs Centralised Dataset
    now published as an SQL database
  • SDDP modelling at the EC (as used in the Auckland
    400 kV draft decision)

3
The Centralised Dataset
  • The EC is tasked to publish the Centralised
    Dataset periodically and distribute it to
    participants The purpose of the Centralised
    Dataset is to support efficient planning
    processes by ensuring the collection and
    maintenance of historical information required to
    make decisions on transmission and transmission
    alternatives.
  • First release was published in July 2005 second
    release in July 2006
  • Three main sections
  • Network configuration data system load flow
    models (PSS/E, DigSilent), line diagrams, circuit
    breaker information
  • Hydrological data weekly and monthly inflows at
    various sites, 1931-2005
  • Half-hourly data
  • Meter data (HVDC flows, active power by GXP,
    reactive power by GXP, generation by grid
    injection point)
  • Bids and offers
  • Prices
  • Binding constraints

4
Gnash
  • Program for accessing half-hourly data,
    distributed with the CDS
  • Purpose-built program coded in Fortran
  • Loads half-hourly data from a bewildering variety
    of source formats and enables you to view or dump
    the results
  • Appearance can be forbidding (see next slide)
  • Slightly disturbing oral fixation
  • Very useful for reading and collating data, but
    not really set up for doing analysis in the
    past we have preferred to dump Gnash output to a
    flat file and analyse it in another program such
    as Matlab

5
Gnash (screenshot)

6
MySQL Halfhourly Database
  • The 2006 Centralised Dataset now includes an
    MySQL database containing the half-hourly data,
    as well as Gnash
  • Gnash remains the most authoritative and
    official version, but MySQL can often be more
    convenient for analysis
  • MySQL is a free, very popular, multiplatform SQL
    system
  • Often used in websites, but used for many other
    purposes as well
  • No special server hardware necessary, it will run
    on your desktop machine
  • GUI front-end is available for Windows (see next
    slide)
  • Or you can use Microsoft Access as a front-end if
    you prefer
  • Allows users to run queries like this
  • select from offers
  • where bidder'GENE'
  • and grid_injection_point'HLY2201'
  • and record_date'2005-03-04'

7
MySQL (screenshot)
  • text

8
What is in the SQL database?
  • Data include
  • Half-hourly prices by node, extending back to
    late 1996
  • Half-hourly metering data, extending back to late
    1996
  • Half-hourly offer data by node, extending back to
    mid 2002
  • Half-hourly binding constraint data, mid 1998
    through mid 2005.
  • Some summary tables added for convenience
  • Regional offtake totals (Auckland, North Isthmus,
    Waikato, etc, etc)
  • Daily and monthly (unweighted) mean prices by
    node
  • Additional error checking and cleaning
  • Dummy prices indicating missing or invalid data
    removed (e.g. -9999)
  • Initial and final runs of zeros in price data
    removed
  • Records with all values missing removed
  • Etc, etc

9
What kind of queries are supported?
  • Here are some examples
  • show final prices at the Pakuranga node in /MWh
    for each trading period on 4 March 2005
  • show the maximum price at each node in the course
    of a given day
  • show a list of pricing nodes in the North Island,
    excluding generation nodes
  • show Genesis's offers for all 48 trading periods
    at Huntly on 4 March 2005
  • show the offtake in kW at Woodville in each
    trading period of 4 March 2005
  • show the offtake (expressed as an average power
    in kW) for each region of NZ in trading period 25
    on 4 March 2005
  • show load by trading period on 4 March 2005 for
    all nodes where the price rose above 100/MWh
  • show the most commonly binding constraints over
    the period covered

10
Installing the database
  • If you are already working with MySQL, it is very
    easy
  • Only issue is that you will need plenty of free
    hard drive space I
    recommend 20 GB at time of installation
  • If not, you would just need to install MySQL
    first
  • Can run on your desktop PC no need for a
    dedicated server machine
  • Installation package can be downloaded from the
    internet instructions included in CDS
  • Plenty of good online help available
  • One small glitch appeared after release. The
    installer for the MySQL database is zipped for
    some reason the UltimateZip program included with
    the CDS will not unzip it. Use WinZip (I have
    only tried v10)
  • If you want the Centralised Dataset and dont
    have it, contact me or Brian Kirtlan
    (brian.kirtlan_at_electricitycommission.govt.nz) for
    your free copy

11
Next steps
  • EC is working on an add-on to the database,
    providing the ability to produce various graphs
    of half-hourly data (offer stacks, nodal price
    traces, etc).
  • Temporarily on back burner hoping to include in
    next CDS release if people express interest
  • Much work still to be done on naming and
    classifying metering data
  • Many series from many sources some as yet
    unnamed, others may be named wrongly and need to
    be corrected
  • Improving the metadata around metering is an
    important work programme for us
  • Want to have consistent labelling of nodes
    throughout MySQL database (would facilitate
    queries joining multiple tables)
  • NWC Ltd are busily producing data products based
    on metering and pricing information

12
And now for something completely different
13
A Brazilian model sitting on my desk
14
SDDP
  • SDDP is a widely-used model produced by PSR (a
    software company based in Rio de Janeiro)
  • a hydrothermal dispatch model with
    representation of the transmission network used
    for short, medium and long term operation
    studies
  • SDDP is a least-cost model (like Spectra) rather
    than a market simulation
  • The operating policy for each hydro plant is
    determined using an optimisation technique called
    stochastic dual dynamic programming (hence SDDP)
  • The criterion is least expected cost, including
    thermal fuel costs, variable OM costs, penalties
    for breaching defined constraints, etc, etc
  • The EC uses SDDP to model New Zealands
    electricity system
  • Calculates the pattern of dispatch to meet
    predicted loads, on a time step varying from
    hourly to monthly
  • Some ability to model transmission, though not to
    the level of power systems analysis (PSA)

15
SDDP at the Electricity Commission
  • First used for Waitaki water rights submission
  • Model was then further developed for use in
    analysing Transpowers Auckland 400 kV grid
    investment proposal
  • SDDP model was used for one specific part of the
    analysis only the
    estimation of loss costs
  • SDDP was used to prepare a dispatch pattern for
    each generation scenario, which was then run
    through the ECs purpose-built Loadflow software
    to estimate loss costs under each transmission
    scenario
  • The Initial Statement of Opportunities (SOO),
    published in 2005, used Spectra for generation
    modelling. The new SOO will use SDDP.
  • SDDP will be used to evaluate generation
    scenarios, in terms of unserved energy (USE) and
    net present value of costs incurred
  • SDDP has also been found useful for various
    one-off analyses (for example, analysing the
    economic viability of the proposed
    Onslow-Manorburn pumped storage scheme)

16
How does SDDP compare to Spectra?
  • Some big advantages
  • SDDP is more flexible (our perception is that
    Spectra has some inconvenient hard-coded
    limitations for example, restrictions on new
    thermal plants in the South Island)
  • SDDP can be used to model the AC grid at various
    levels of detail (will discuss the
    options later if time permits), whereas Spectra
    does not model transmission, apart from the HVDC
    link
  • SDDP can be run with an hourly time step
  • PSR provide good support for SDDP
  • But some disadvantages too
  • In the New Zealand context, Spectra has been used
    for some time and the model is well understood
    and validated whereas our SDDP model is still
    in development
  • SDDP executes much slower than Spectra
  • Im not kidding, it really is a lot slower
  • Only 5 load blocks are modelled (Spectra had 14)

17
Hows your Portuguese?
  • SDDP manuals are in (usually) good English
  • Some datafiles still use Portuguese
  • Wouldnt it be nice if the abbreviation for
    spilled outflow was, say, spill, rather
    than qverti

18
Time frame in our SDDP models
  • Three options monthly time step, weekly time
    step, or hourly time step
  • EC needs to run models over a 30-year period,
    which means using the monthly time step (weekly
    time step is limited to about 7 years)
  • note, test runs comparing weekly and monthly time
    steps have produced quite similar results so
    this may not be a big issue
  • In the Auckland 400 kV analysis, we used Tom
    Halliburtons SDDP Looper program
    to have our cake and eat it too
  • firstly do a monthly run over a long period (25 /
    30 years)
  • the Looper then invokes SDDP to do an hourly run
    for the first week of each month, generating a
    detailed dispatch
  • does the job, although SDDP takes a looong time
    to execute in this mode
  • still, at least the constant CPU and hard disk
    activity of multiple PCs over a period of several
    weeks kept the office warm

19
AC transmission modelling in SDDP
  • SDDP provides a range of options for modelling AC
    transmission
  • Simplest and quickest option no AC constraints
    at all, and losses are modelled by pro-rating
    demand forecast inputs, rather than within the
    model. (Effectively this is what was done for
    Auckland 400 kV GIT analysis)
  • Can add AC thermal constraints to the model,
    optionally varying by season (Transpower
    currently reworking this aspect of the model)
  • Can add AC group constraints for a more realistic
    model of AC limitations
  • Can add modelling of AC line losses within SDDP
    (this slows down execution considerably, as
    dispatch is optimised accordingly).
  • We are also doing some development work on a
    regional transmission model, with 17 regions
    (Auckland, HLY/WKM/WRK, Taranaki, etc),
    incorporating current AC constraints, inter- (but
    not intra-) regional AC losses, and potential
    future augmentations

20
Next steps
  • Field trip to Brazil?
  • Continue to improve model, in conjunction with
    Transpower bug fixes, augmentations, spelling
    corrections in datafiles, etc, etc
  • Continue updating SDDPs inputs demand
    forecasts, hydrological inflow records, lists of
    generating plants, etc, etc
  • Continue to develop utilities for running SDDP,
    producing inputs and post-processing outputs
  • Use SDDP for 2007 SOO (will doubtless be a
    learning experience)
  • Develop regional model
  • Another in-development project using SDDP to
    build up a lookup table of runs, so that the
    net costs in a year with given levels of load,
    generation, and HVDC transfer capacity can be
    estimated by interpolation from the lookup table
    rather than by running SDDP
  • Parallel SDDP supposed to be coming out soon
    (?)
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