4.4 Article

Moving beyond the optimal transmission switching: stochastic linearised SCUC for the integration of wind power generation and equipment failures uncertainties

期刊

IET GENERATION TRANSMISSION & DISTRIBUTION
卷 12, 期 15, 页码 3780-3792

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2017.0617

关键词

wind power plants; power generation reliability; power transmission reliability; failure analysis; stochastic programming; power system security; power generation dispatch; power generation scheduling; load flow; integer programming; linear programming; piecewise linear techniques; reactive power; optimal transmission switching; stochastic linearised SCUC; equipment failure uncertainties; stochastic optimisation model; security constrained unit commitment; OTS; wind power generation uncertainty managing; stochastic SCUC model; AC optimal power flow; AC OPF; power system; mixed-integer nonlinear programming model; mixed-integer linear programming model; MILP approach; piecewise linear model; reactive power; global optimal solution; IEEE 118-bus test system; IEEE 662-bus test system; post-OTS action; pre-OTS action

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This study recommends a stochastic optimization model for the security constrained unit commitment (SCUC), which incorporates the optimal transmission switching (OTS) for managing the uncertainty of wind power generation and equipment failures, i.e. unit/line outages. Also, this study presents a technique in stochastic SCUC model with the OTS action using the AC optimal power flow (AC OPF). The AC OPF provides a more accurate picture of power flow in the power system compared to the DC optimal power flow that is usually considered in the literature for the stochastic SCUC models and the OTS action. While the stochastic SCUC model with the OTS action based on AC OPF is a mixed-integer non-linear programming model, this study transforms it into a mixed-integer linear programming (MILP) model. The MILP approach uses a piecewise linear model of AC OPF, which allows the reactive power and voltage to be considered directly in power flow model. The proposed stochastic SCUC problem is evaluated on the 6 bus, IEEE 118-bus and 662-bus test systems in pre- and post-OTS action. Obtained results demonstrate the effectiveness of the proposed model.

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