Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System

Junjie Hu, Tian Lan*, Kai Heussen, Mattia Marinelli, Alexander Maria Prostejovsky, Xianzhang Lei

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    This paper applies a robust optimization technique for coordinating reserve allocations in multiple-cell based power systems. The linear decision rules (LDR)-based policies were implemented to achieve the reserve robustness, and consist of a nominal power schedule with a series of linear modifications. The LDR method can effectively adapt the participation factors of reserve providers to respond to system imbalance signals. The policies considered the covariance of historic system imbalance signals to reduce the overall reserve cost. When applying this method to the cell-based power system for a certain horizon, the influence of different time resolutions on policy-making is also investigated, which presents guidance for its practical application. The main results illustrate that: (a) the LDR-based method shows better performance, by producing smaller reserve costs compared to the costs given by a reference method; and (b) the cost index decreases with increased time intervals, however, longer intervals might result in insufficient reserves, due to low time resolution. On the other hand, shorter time intervals require heavy computational time. Thus, it is important to choose a proper time interval in real time operation to make a trade off.
    Original languageEnglish
    Article number381
    Issue number2
    Number of pages15
    Publication statusPublished - 2018

    Bibliographical note

    This article belongs to the Special Issue: Methods and Concepts for Designing and Validating Smart Grid Systems


    • Linear decision rules
    • Optimal reserve allocation
    • Robust optimization
    • Web of cells


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