Active Distribution System Management: A Dual-Horizon Scheduling Framework for DSO/TSO Interface under Uncertainty

Adrien Saint-Pierre, Pierluigi Mancarella

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    Abstract

    Active Distribution System Management (ADSM) aims at optimally operating distribution network assets with a high penetration of Distributed Energy Resources (DER) while taking into account operational uncertainties, market constraints, and scheduled power flows at the interface with the transmission
    system. A novel framework for ADSM, which incorporates a dual-horizon rolling scheduling model based on Dynamic AC Optimal Power Flow (OPF) is proposed in this paper. In the first stage (“planning”), energy import/export is committed for given times ahead at the grid supply point considering local variable generation and load forecasts. At the second stage (“operation”) deviations from the schedules are minimised by controlling various assets and DER (including Electrical Energy Storage - EES). We demonstrate how crucial it is to properly consider uncertainties (for instance associated with forecasts) over different time scales. Case study results on a real UK distribution network show that the proposed ADSM approach can (i) provide credible operational strategies to maximise renewable penetration, (ii) minimise deviations from time-ahead schedules and (iii) estimate the required level of local reserves from dispatchable generation and EES while realistically accounting for uncertainty. The framework and model formulation proposed can thus be seen as a key tool to facilitate the transition from Distribution Network Operators to Distribution System Operators and their interaction with Transmission System Operators.
    Original languageEnglish
    JournalI E E E Transactions on Smart Grid
    Publication statusPublished - Jan 2016

    Keywords

    • Active Network Management, Dynamic Optimal Power Flow, Distribution System Unit Commitment, Electrical Energy Storage (EES), Distribution System Operator, Forecast, TSO-DSO Interface, Distribution System Operator

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