2022
DOI: 10.1109/tpwrs.2021.3135657
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Explicit Data-Driven Small-Signal Stability Constrained Optimal Power Flow

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Cited by 22 publications
(13 citation statements)
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“…Objective(s) [1] VSCOPF 2018 Reformulation of voltage stability condition to a set of second-order conic constraints in an OPF problem [2] 2019 A line-wise OPF based on voltage collapse indicator in terms of branch maximum loadability factors [3] 2019 Semidefinite programming relaxation of the conventional AC-OPF and a linear matrix inequality constraint reformulation of voltage stability constraint [4] 2019 Linear models of voltage stability incorporation with line-wise OPF [5] 2020 A random-fuzzy chance-constrained programming OPF for considering wind speed and P-Q-V steady-state voltage stability [6] 2020 Selection of a minimum number of distributed generators for improving resilience of power grids against extreme events which may lead to voltage stability problems and blackouts [7] TSCOPF 2016 Achieving improved response and better convergence for TSC-OPF problem using Krill Herd bio-inspired optimisation algorithm [8] 2017 Preventive control of transient stability based on active power re-dispatch sequential approach [9] 2017 Automating design of linear transient stability constraints without online human interference and being adaptive to the change of real-time operating conditions [10] 2020 Energy-function-based approach for assessment of transient stability along with benders decomposition technique for handling transient stability constraints [11] 2020 N-1 multi-contingency AC optimal power flow under a set of transient stability constraints [12] 2020 Considering uncertainties of active and reactive load values and network topology configuration in optimal dispatch of distributed synchronous generators constrained to transient stability [13] 2020 Modelling non-synchronous renewable generation equipped with synthetic inertia in TSC-OPF [14] 2021 Single-machine equivalent theory-based trajectory sensitivity analyses incorporated in TSC-OPF [15] SSSCOPF 2017 Solving SSSC-OPF problem by sequential quadratic programming method combined with gradient sampling [16] 2019 Handling the discontinuity and high non-linearity of SSS constraint by decomposing original optimisation problem into a sequence of sub-problems [17] 2021 An OPF model with small-signal trajectory constraint by extracting the damping ratio of the perturbation trajectory [18] 2021 Convexification approach without reliance on eigenvalue analysis and by network structure-preserving differential algebraic equation modelling of the power system [19] 2021 Explicit data-driven surrogate constraint for SSSC-OPF using support vector machine [20] 2022 Ensuring sufficient stability margin during optimal generation for inverter-based AC microgrids using a Lyapunov st...…”
Section: Type Of Study Yearmentioning
confidence: 99%
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“…Objective(s) [1] VSCOPF 2018 Reformulation of voltage stability condition to a set of second-order conic constraints in an OPF problem [2] 2019 A line-wise OPF based on voltage collapse indicator in terms of branch maximum loadability factors [3] 2019 Semidefinite programming relaxation of the conventional AC-OPF and a linear matrix inequality constraint reformulation of voltage stability constraint [4] 2019 Linear models of voltage stability incorporation with line-wise OPF [5] 2020 A random-fuzzy chance-constrained programming OPF for considering wind speed and P-Q-V steady-state voltage stability [6] 2020 Selection of a minimum number of distributed generators for improving resilience of power grids against extreme events which may lead to voltage stability problems and blackouts [7] TSCOPF 2016 Achieving improved response and better convergence for TSC-OPF problem using Krill Herd bio-inspired optimisation algorithm [8] 2017 Preventive control of transient stability based on active power re-dispatch sequential approach [9] 2017 Automating design of linear transient stability constraints without online human interference and being adaptive to the change of real-time operating conditions [10] 2020 Energy-function-based approach for assessment of transient stability along with benders decomposition technique for handling transient stability constraints [11] 2020 N-1 multi-contingency AC optimal power flow under a set of transient stability constraints [12] 2020 Considering uncertainties of active and reactive load values and network topology configuration in optimal dispatch of distributed synchronous generators constrained to transient stability [13] 2020 Modelling non-synchronous renewable generation equipped with synthetic inertia in TSC-OPF [14] 2021 Single-machine equivalent theory-based trajectory sensitivity analyses incorporated in TSC-OPF [15] SSSCOPF 2017 Solving SSSC-OPF problem by sequential quadratic programming method combined with gradient sampling [16] 2019 Handling the discontinuity and high non-linearity of SSS constraint by decomposing original optimisation problem into a sequence of sub-problems [17] 2021 An OPF model with small-signal trajectory constraint by extracting the damping ratio of the perturbation trajectory [18] 2021 Convexification approach without reliance on eigenvalue analysis and by network structure-preserving differential algebraic equation modelling of the power system [19] 2021 Explicit data-driven surrogate constraint for SSSC-OPF using support vector machine [20] 2022 Ensuring sufficient stability margin during optimal generation for inverter-based AC microgrids using a Lyapunov st...…”
Section: Type Of Study Yearmentioning
confidence: 99%
“…In recent literatures, the incorporation of each stability phenomenon, that is, voltage, rotor-angle transient and small-signal stability, into optimal power flow has mostly been addressed through optimal control and scheduling of active and reactive powers on a separate study basis [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Indeed, simultaneous consideration of different types of stability in optimal operation of power systems has not been studied yet.…”
Section: Introductionmentioning
confidence: 99%
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“…A trajectory speculation method is proposed to predict and accelerate convergence [13]. To address the large burden of data preparation and storage, an efficient sample generation strategy is presented by compressing the sampling space [14]. Another category of approaches targets fewer samples by leveraging the prior information.…”
Section: Introductionmentioning
confidence: 99%