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Hydro Power Reservoir Aggregation via Genetic Algorithms

Author

Listed:
  • Markus Löschenbrand

    (Department of Electric Power Engineering, NTNU, 7491 Trondheim, Norway)

  • Magnus Korpås

    (Department of Electric Power Engineering, NTNU, 7491 Trondheim, Norway)

Abstract

Electrical power systems with a high share of hydro power in their generation portfolio tend to display distinct behavior. Low generation cost and the possibility of peak shaving create a high amount of flexibility. However, stochastic influences such as precipitation and external market effects create uncertainty and thus establish a wide range of potential outcomes. Therefore, optimal generation scheduling is a key factor to successful operation of hydro power dominated systems. This paper aims to bridge the gap between scheduling on large-scale (e.g., national) and small scale (e.g., a single river basin) levels, by applying a multi-objective master/sub-problem framework supported by genetic algorithms. A real-life case study from southern Norway is used to assess the validity of the method and give a proof of concept. The introduced method can be applied to efficiently integrate complex stochastic sub-models into Virtual Power Plants and thus reduce the computational complexity of large-scale models whilst minimizing the loss of information.

Suggested Citation

  • Markus Löschenbrand & Magnus Korpås, 2017. "Hydro Power Reservoir Aggregation via Genetic Algorithms," Energies, MDPI, vol. 10(12), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2165-:d:123395
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    References listed on IDEAS

    as
    1. Pan Liu & Shenglian Guo & Xiaowei Xu & Jionghong Chen, 2011. "Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3177-3200, October.
    2. Wolfgang, Ove & Haugstad, Arne & Mo, Birger & Gjelsvik, Anders & Wangensteen, Ivar & Doorman, Gerard, 2009. "Hydro reservoir handling in Norway before and after deregulation," Energy, Elsevier, vol. 34(10), pages 1642-1651.
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    Cited by:

    1. Blom, Evelin & Söder, Lennart, 2022. "Accurate model reduction of large hydropower systems with associated adaptive inflow," Renewable Energy, Elsevier, vol. 200(C), pages 1059-1067.
    2. Blom, Evelin & Söder, Lennart, 2024. "Single-level reduction of the hydropower area Equivalent bilevel problem for fast computation," Renewable Energy, Elsevier, vol. 225(C).

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