Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty ∗

作者: Daniel Bienstock , Michael Chertkov , Sean Harnett

DOI: 10.1137/130910312

关键词: Computer scienceNetwork controlPower flowGridTrippingMathematical optimizationSmart gridRenewable energyElectric power industryPower engineering

摘要: When uncontrollable resources fluctuate, optimal power flow (OPF), routinely used by the electric industry to redispatch hourly controllable generation (coal, gas, and hydro plants) over control areas of transmission networks, can result in grid instability and, potentially, cascading outages. This risk arises because OPF dispatch is computed without awareness major uncertainty, particular fluctuations renewable output. As a result, operation under with variability lead frequent conditions where line ratings are significantly exceeded. Such condition, which borne our simulations real grids, considered undesirable engineering practice. Possibly, it risky outcome that compromises stability---line tripping. Smart goals include commitment large penetration highly fluctuating renewables, thus calling reconsider current practices, use standard OPF. Our chance-constrained (CC) co...

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