Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches

Niina Helistö (Corresponding Author), Juha Kiviluoma, Hannele Holttinen, Jose Daniel Lara, Bri Mathias Hodge

    Research output: Contribution to journalArticleScientificpeer-review

    5 Citations (Scopus)
    47 Downloads (Pure)

    Abstract

    In the past, power system planning was based on meeting the load duration curve at minimum cost. The increasing share of variable generation (VG) makes operational constraints more important in the planning problem, and there is more and more interest in considering aspects such as sufficient ramping capability, sufficient reserve procurement, power system stability, storage behavior, and the integration of other energy sectors often through demand response assets. In VG integration studies, several methods have been applied to combine the planning and operational timescales. We present a four-level categorization for the modeling methods, in order of increasing complexity: (1a) investment model only, (1b) operational model only, (2) unidirectionally soft-linked investment and operational models, (3a) bidirectionally soft-linked investment and operational models, (3b) operational model with an investment update algorithm, and (4) co-optimization of investments and operation. The review shows that using a low temporal resolution or only few representative days will not suffice in order to determine the optimal generation portfolio. In addition, considering operational effects proves to be important in order to get a more optimal generation portfolio and more realistic estimations of system costs. However, operational details appear to be less significant than the temporal representation. Furthermore, the benefits and impacts of more advanced modeling techniques on the resulting generation capacity mix significantly depend on the system properties. Thus, the choice of the model should depend on the purpose of the study as well as on system characteristics. This article is categorized under: Wind Power > Systems and Infrastructure Energy Systems Analysis > Economics and Policy Energy Policy and Planning > Economics and Policy.

    Original languageEnglish
    Article numbere341
    JournalWiley Interdisciplinary Reviews: Energy and Environment
    Volume8
    Issue number5
    DOIs
    Publication statusPublished - 6 Mar 2019
    MoE publication typeA1 Journal article-refereed

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    Planning
    modeling
    energy planning
    Economics
    Energy policy
    wind power
    planning system
    energy policy
    systems analysis
    System stability
    economics
    cost
    Wind power
    energy
    planning
    Costs
    Systems analysis
    infrastructure
    timescale
    method

    Keywords

    • generation expansion planning
    • integration of renewable energy sources
    • operational constraints
    • power system planning
    • temporal representation

    Cite this

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    title = "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches",
    abstract = "In the past, power system planning was based on meeting the load duration curve at minimum cost. The increasing share of variable generation (VG) makes operational constraints more important in the planning problem, and there is more and more interest in considering aspects such as sufficient ramping capability, sufficient reserve procurement, power system stability, storage behavior, and the integration of other energy sectors often through demand response assets. In VG integration studies, several methods have been applied to combine the planning and operational timescales. We present a four-level categorization for the modeling methods, in order of increasing complexity: (1a) investment model only, (1b) operational model only, (2) unidirectionally soft-linked investment and operational models, (3a) bidirectionally soft-linked investment and operational models, (3b) operational model with an investment update algorithm, and (4) co-optimization of investments and operation. The review shows that using a low temporal resolution or only few representative days will not suffice in order to determine the optimal generation portfolio. In addition, considering operational effects proves to be important in order to get a more optimal generation portfolio and more realistic estimations of system costs. However, operational details appear to be less significant than the temporal representation. Furthermore, the benefits and impacts of more advanced modeling techniques on the resulting generation capacity mix significantly depend on the system properties. Thus, the choice of the model should depend on the purpose of the study as well as on system characteristics. This article is categorized under: Wind Power > Systems and Infrastructure Energy Systems Analysis > Economics and Policy Energy Policy and Planning > Economics and Policy.",
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    Including operational aspects in the planning of power systems with large amounts of variable generation : A review of modeling approaches. / Helistö, Niina (Corresponding Author); Kiviluoma, Juha; Holttinen, Hannele; Lara, Jose Daniel; Hodge, Bri Mathias.

    In: Wiley Interdisciplinary Reviews: Energy and Environment, Vol. 8, No. 5, e341, 06.03.2019.

    Research output: Contribution to journalArticleScientificpeer-review

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    T1 - Including operational aspects in the planning of power systems with large amounts of variable generation

    T2 - A review of modeling approaches

    AU - Helistö, Niina

    AU - Kiviluoma, Juha

    AU - Holttinen, Hannele

    AU - Lara, Jose Daniel

    AU - Hodge, Bri Mathias

    PY - 2019/3/6

    Y1 - 2019/3/6

    N2 - In the past, power system planning was based on meeting the load duration curve at minimum cost. The increasing share of variable generation (VG) makes operational constraints more important in the planning problem, and there is more and more interest in considering aspects such as sufficient ramping capability, sufficient reserve procurement, power system stability, storage behavior, and the integration of other energy sectors often through demand response assets. In VG integration studies, several methods have been applied to combine the planning and operational timescales. We present a four-level categorization for the modeling methods, in order of increasing complexity: (1a) investment model only, (1b) operational model only, (2) unidirectionally soft-linked investment and operational models, (3a) bidirectionally soft-linked investment and operational models, (3b) operational model with an investment update algorithm, and (4) co-optimization of investments and operation. The review shows that using a low temporal resolution or only few representative days will not suffice in order to determine the optimal generation portfolio. In addition, considering operational effects proves to be important in order to get a more optimal generation portfolio and more realistic estimations of system costs. However, operational details appear to be less significant than the temporal representation. Furthermore, the benefits and impacts of more advanced modeling techniques on the resulting generation capacity mix significantly depend on the system properties. Thus, the choice of the model should depend on the purpose of the study as well as on system characteristics. This article is categorized under: Wind Power > Systems and Infrastructure Energy Systems Analysis > Economics and Policy Energy Policy and Planning > Economics and Policy.

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    KW - generation expansion planning

    KW - integration of renewable energy sources

    KW - operational constraints

    KW - power system planning

    KW - temporal representation

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    U2 - 10.1002/wene.341

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    M3 - Article

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    JO - Wiley Interdisciplinary Reviews: Energy and Environment

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