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    Advanced Grid Reliability Standards

    John Gleadow, Director TransmissionSimon Todd, Transmission AdviserBruce Smith, Director of Modelling and Forecasting

    New Zealand Electricity Commission

    Workshop on Transmission Network Security StandardsImperial College

    London

    9th March 2009

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    Background New Zealand market fully deregulated since

    1996.

    Electricity Commission established 2003. Grid Investment Test (GIT) - 2004

    Grid Reliability Standards (GRS) - 2005

    What have we learnt so far?

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    New Zealand transmission network

    NZ has linear geographicalignment.

    Large renewable resourcein the lower South Island.

    Most of the demand in theupper North Island.

    Substantial power flow over

    1500km

    Thinking here may be

    useful to consider in UKcontext

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    Efficiency Objectives

    Organisations in competitive markets need tooperate efficiently to remain competitive.

    Transmission businesses are monopolies Regulation necessary to avoid unfettered profit

    Regulation aims to achieve similar performance

    Regulated standards and codes adopted to: protect consumers and create markets;

    discourage inefficient monopoly positions; and

    remove barriers to entry.

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    Deterministic Reliability Standards

    Network design and operation traditionally basedon N-1.

    Exercise of judgement about contingencies,generation dispatch and demand required.

    Typical assumptions usually peak demand and

    local intermittent generation set to zero output. Approach risk averse and biased towards

    transmission solutions to reliability issues.

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    Issues with deterministic standards

    Two main issues with deterministic planningapproach: Dont recognise cost of achieving reliability level

    Focus on performance of individual elements rather than the systemas a whole

    Calculated USE costs to justify transmissioninvestment very high when exposure beyond N-1 afew hours a year.

    Generation or demand-side response likely to bemore cost effective.

    Deterministic approach does not adequatelyconsider these alternatives as they are unreliable.

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    Technology change New technology in generation, transmission

    and demand management

    New unreliable elements need to be modelledto understand overall system performance Wind

    Equipment ratings/Dynamic line rating

    Weather/security variation

    Demand variation and uncertainty

    Probabilistic techniques long used for

    management of hydro storage systems a changed approach required otherwise

    substantial cost savings foregone

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    Evaluation of alternative investments

    Conventional planning often results in transmissionas only solution.

    Alternatives such as generation or demandmanagement may be cheaper but less reliable.

    New technologies result in uncertainty

    Deterministic approach seeks to make alternativesas reliable as transmission but this is incorrect.

    Probabilistic planning approach allows comparison

    of alternatives on an equal footing. Possible conflict of interest for transmission

    organisations planning investment.

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    Determination of USE

    Value of unserved energy (USE) critical indetermining economic value of grid reliability.

    In 2005 Commission set default value at$20,000/MWh (8000)

    This was based on earlier survey in Australia.

    Proponents of transmission investment cansuggest other values.

    Commission has embarked on project to survey

    grid users and update this value.

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    Alternatives to new transmission lines

    Uprating existing lines re-tensioning, re-conductoring and duplexing.

    Constraining dispatch of existing generation. Grid support contracts contracting generation as

    a transmission alternative.

    Demand side response and interruptible load. Reactive support to utilise transmission lines to

    thermal limits.

    Dynamic line rating.

    System protection schemes.

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    Dynamic line rating Wind speed and ambient temperature key parameters in

    line rating.

    NZ study 10 years ago suggested up to 70% increase in line

    rating possible, for 40% of the time . In Tasmania DLR scheme operating since 2006 on 18 key

    circuits, with 10-20% capacity increase network-wide.

    Tasmanian DLR systemcost A$2m.

    DLR approach now beingapplied in a number of

    other Australian states.

    Current Areva project inSA

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    System Protection Scheme (SPS)

    An option to allow all circuits to operate up to theirthermal limits

    Two situations for SPS use Users prepared to be disconnected if transmission line outage occurs

    Generation injection reduced to avoid overloading transmission line undercontingency.

    Given low probability of transmission outages, costof disconnecting generation very low.

    Nat Grid UK designed SPS in Tasmania whenBasslink installed; providing substantial cost andtime savings. Good performance to date.

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    Generation connection security in NZ

    NZ generation largely hydro based with limitedstorage.

    Ample generation capacity but there can be

    shortages due to low seasonal rainfall. NZ has no specific generation connection security

    requirements.

    Occasional constraint of hydro generation generallyhas low economic cost as water can be stored.

    Constraining off wind generation under contingency

    low cost if SPS used. Security level for generation connection will be costtrade-off between generation constraint or USE.

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    Transmission access issues - NZ

    No parties have exclusive access to the grid.

    All use of system transmission charges fall on

    consumers. Any generator can connect but not dispatched if too

    expensive.

    Older less efficient plant cannot restrict access tonewer cheaper plant.

    If new generation creates economic loss through

    constraints then funding new transmission capacitycan be considered on an economic basis.

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    Probabilistic planning techniques

    Two main probabilistic approaches available,namely: Enumeration (Frequency/ Duration); and

    Monte Carlo. FD method fast, simple and also understandable by

    most.

    FD method also most useful for small areainvestments.

    FD to evaluate low probability events.

    Monte Carlo useful for more complex analysis.

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    Commission approach in recent projects Hybrid approach Enumeration/Monte Carlo

    Analysis system capacity and probability ofthis down to n-2 level.

    Exploit simplifications in model e.g. when

    lines have same rating. Integrate economic and reliability analysis intoa single model

    demand forecast uncertainty, reliability benefits,

    transmission loss benefit and

    deferral option value.

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    Auckland North Island Grid Upgrade

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    Auckland 3GW demand by 2025.

    New 200km of 400kV

    capable line.

    N-1 minimum requiredreliability level.

    Evaluation of USE showedthat an N-G-1 reliability wasappropriate.

    Project timing justified onUSE basis.

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    AucklandN -1 Supply Capability

    400 kV Line 2017

    0

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

    AucklandandNorthIsthmusDemand(MW)

    Winter Peak Demand Winter N-1 Capability Summer Peak Demand

    Summer N-1 Capability Extreme Summer Peak Demand Extreme Summer N-1 Capability

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    AucklandUSE for 400kV in 2017 N-1 example

    0

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    4500

    2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

    YEAR

    USE(MWh)

    USE

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    West Coast

    40MW demand.

    40% variable local

    generation.

    Not in defined coregrid.

    Minimum requiredreliability level N.

    Evaluation of USE and

    cost of investmentshowed N-1 justified.

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    Economic System Operation

    Possible conflict between probabilistic planning anddeterministic system operation.

    Not an issue in practise. But significant under utilisation/inefficiency can result.

    System operation needs to evolve from

    deterministic rules through reliability constrained dispatch to

    stochastic dispatch

    Dispatch solution feasible using Linear Programmingtechniques evolved from current approach.

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    Conclusion Developments in New Zealand and Australia

    release substantial untapped capacity within

    the existing grid Requires adoption of new transmission

    technologies and new approaches to grid

    security Supports integration of renewables without

    reducing reliability.