Co-optimization of distribution system operation and transmission system planning: A decentralized stochastic solution

Jia Liu, Zao Tang, Peter Pingliang Zeng*, Yalou Li, Qiuwei Wu

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    The distribution system is normally equivalent as a dynamic power injected at the interconnected transmission bus. This cannot unlock the potential benefits of transmission–distribution interaction. To tackle this problem, this paper proposes a distributed stochastic optimization approach to simultaneously determine distribution system operation and transmission system planning. Uncertainties in the distribution and transmission systems are modelled using numbers of typical scenarios. The original problem is decomposed into the upper transmission network planning level and the lower distribution network operation one. Both two levels are linearized using a piecewise linearization approach to guarantee the convergence properties of the algorithm. Simulation results investigated on the integrated T24D9 system testify the high performance of the presented distributed framework. With the coordination of distribution systems, the transmission network planning solution decreases the investment and improves the renewable energy recommendation.
    Original languageEnglish
    JournalEnergy Reports
    Volume8
    Issue numberSupplement 1
    Pages (from-to)501-509
    DOIs
    Publication statusPublished - 2022
    Event8th International Conference on Power and Energy Systems Engineering - Fukuoka, Japan
    Duration: 10 Sept 202112 Sept 2021

    Conference

    Conference8th International Conference on Power and Energy Systems Engineering
    Country/TerritoryJapan
    CityFukuoka
    Period10/09/202112/09/2021

    Keywords

    • Decentralized optimization
    • Distribution network operation
    • Piecewise linearization
    • Transmission network planning
    • Uncertainties

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