Results 11 to 20 of about 9,967,778 (178)
Gaussian Process Learning-Based Probabilistic Optimal Power Flow [PDF]
IEEE Transactions on Power Systems, 2021 In this letter, we present a novel Gaussian Process Learning-based Probabilistic Optimal Power Flow (GP-POPF) for solving POPF under renewable and load uncertainties of arbitrary distribution. The proposed method relies on a non-parametric Bayesian inference-based uncertainty propagation approach, called Gaussian Process (GP).
Parikshit Pareek, Hung D. Nguyen
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Comparison between Probabilistic Optimal Power Flow and Probabilistic Power Flow with Carbon Emission Consideration [PDF]
2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015 With more uncertainty and variability existing in smart grid, deterministic load flow, which is used to analyze the operation conditions on a daily routine and planning the power systems for future investment, could not solve the problems with consideration of renewable generation intermittence and load variation.
Hao-Tian Zhang +3 more
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Preventive Security-Constrained Optimal Power Flow with Probabilistic Guarantees [PDF]
Energies, 2020 The traditional security-constrained optimal power flow (SCOPF) model under the classical N-1 criterion is implemented in the power industry to ensure the secure operation of a power system. However, with increasing uncertainties from renewable energy sources (RES) and loads, the existing SCOPF model has difficulty meeting the practical requirements of
Li, Hang +3 more
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Risk-constrained optimal power flow with probabilistic guarantees [PDF]
2014 Power Systems Computation Conference, 2014 Higher penetration of renewable energy and market liberalization increase both the need for transmission capacity and the uncertainty in power system operation. New methods for power system operational planning are needed to allow for efficient use of the grid, while maintaining security and robustness against disturbances.
Line Roald +3 more
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Use of UPFC for optimal power flow control
, 1997 This paper deals with optimal power flow control in electric power systems by use of unified power flow controller (UPFC). Models suitable for incorporation in power flow programs are developed and analysed. The application of UPFC for optimal power flow
Noroozian, M. +3 more
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Risk-based optimal power flow with probabilistic guarantees [PDF]
International Journal of Electrical Power & Energy Systems, 2015 Higher penetration of renewable energy sources and market liberalization increase both the need for transmission capacity and the uncertainty in power system operation. New methods for power system operational planning are needed to allow for efficient use of the grid, while maintaining security against disturbances.
Line Roald +3 more
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Probabilistically Robust AC Optimal Power Flow
IEEE Transactions on Control of Network Systems, 2019 The increasing penetration of renewable energy resources, paired with the fact that load can vary significantly, introduce a high degree of uncertainty in the behavior of modern power grids. Given that classical dispatch solutions are "rigid," their performance in such an uncertain environment is in general far from optimal.
Mohammadreza Chamanbaz +2 more
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Probabilistic Optimal Power Flow Analysis with Undetermined Loads [PDF]
Journal of International Council on Electrical Engineering, 2012 AbstractThe load in power system usually can be fluctuated, sometimes awfully, due to sudden disturbance, measuring and forecasting error, or even its inherent nature. Therefore, the conventional deterministic generation dispatch problems are not enough to operate power system.
Byuk-keun Jo +3 more
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Analyzing probabilistic optimal power flow problem by cubature rules
Turkish Journal of Electrical Engineering and Computer Sciences, 2022 This paper is devoted to revealing some properties of the probabilistic optimal power flow (POPF) problem. In conjunction with Hermite polynomial model, Nataf transformation is introduced to map POPF problem to the independent standard normal space. Firstly, a multivariate polynomial model is employed to represent the function relationship between POPF
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Data clustering based probabilistic optimal power flow in power systems [PDF]
IET Generation, Transmission & Distribution, 2018 Ever increasing use of renewable energies beside other uncertain parameters in power systems makes it necessary to evaluate power system issues, probabilistically. One of the important studies in power systems operating is optimal power flow (OPF), which should be considered as probabilistic OPF (POPF).
Sadjad Galvani, Mahmoud Choogan
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