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  1. An asynchronous parallel Benders decomposition method for stochastic network design problems
    Author: Rahmaniani, Ragheb; Crainic, Teodor Gabriel; Gendreau, Michel; Rei, Walter
    Published: October 2021
    Publisher:  Bureau de Montreal, Université de Montreal, Montréal (Québec)

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    Verlag (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    ZSS 18
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: CIRRELT ; CIRRELT-2021, 41
    Subjects: Stochastic programming; network design; Benders decomposition; branch-and-cut; parallel computing
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  2. Short-term risk management for electricity retailers under rising shares of decentralized solar generation
    Author: Russo, Marianna; Kraft, Emil; Bertsch, Valentin; Keles, Dogan
    Published: [2021]
    Publisher:  Karlsruher Institut für Technologie (KIT), Karlsruhe

    Electricity retailers face increasing uncertainty due to the ongoing expansion of unpredictable, distributed generation in the residential sector. We analyze how increasing levels of households' solar PV self-generation affect the short-term... more

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    Verlag (kostenfrei)
    Resolving-System (kostenfrei)

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    Location:
    Karlsruher Institut für Technologie, KIT-Bibliothek
    Inter-library loan:
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 597
    Inter-library loan:
    No inter-library loan

     

    Electricity retailers face increasing uncertainty due to the ongoing expansion of unpredictable, distributed generation in the residential sector. We analyze how increasing levels of households' solar PV self-generation affect the short-term decisionmaking and associated risk exposure of electricity retailers in day-ahead and intraday markets. First, we develop a stochastic model accounting for correlations between solar load, residual load and price in sequentially nested wholesale spot markets across seasons and type of day. Second, we develop a computationally tractable twostage stochastic mixed-integer optimization model to investigate the trading portfolio and risk optimization problem faced by retailers. Through conditional value-at-risk we assess retailers' profitability and risk exposure to different levels of PV self-generation by assuming different retail tariff schemes. We find risk-hedging trading strategies and tariffs to have greater impact in Summer and with low levels of residual load in the system, i.e. when the solar generation uncertainty affect more the households demand to be served and the wholesale spot prices. The study is innovative in unveiling the potential of dynamic electricity tariffs, which are indexed to spot prices, to sustain a high penetration of renewable energy source while promoting risk sharing between customer and retailer. Our findings have implications for electricity retailers facing load and revenue risks in wholesale spot markets, likewise for regulators and policy-makers interested in electricity market design.

     
    Export to reference management software   RIS file
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/235576
    Series: Working paper series in production and energy ; no. 57 (June 2021)
    Subjects: Electricity markets; Stochastic model; Stochastic programming; Retailer uncertainty modeling; Riskmanagement
    Scope: 1 Online-Ressource (100 Seiten), Illustrationen