Results 11 to 20 of about 291 (205)
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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Mehran University Research Journal of Engineering and Technology, 2022 Power system control and operation studies have been experienced essential changes due to increasing the penetration of uncertain renewable energy resources. One of the most critical issues in this regard is the optimal power flow (OPF). As a result, the
Hamid Fattahi +3 more
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Loss Reduction in Distribution Networks With DG Units by Correlating Taguchi Method and Genetic Algorithm [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2022 Optimal power flow is an essential tool in the study of power systems. Distributed generation sources increase network uncertainties due to their random behavior, so the optimal power flow is no longer responsive and the probabilistic optimal power flow ...
M. Najjarpour, B. Tousi, S. Jamali
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Frontiers in Energy Research, 2022 Power system clustering is an effective method for realizing voltage control and preventing failure propagation. Various approaches are used for power system clustering. Graph-theory-based spectral clustering methods are widely used because they follow a
Juhwan Kim +5 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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IEEE Access, 2022 The investigation of stochastic optimal power flow (SOPF) is to seek the optimal solution of static stability constrained optimal power flow considering the uncertainty of parameters in power systems. To solve the problem, this paper proposes an approach
Bingqing Xia +5 more
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Probabilistic optimal power flow to determine the Locational marginal price considering wind generation [PDF]
مجله مدل سازی در مهندسی, 2017 - The optimal power flow (OPF) is one of the key tools in the planning and operation of power systems. However, due to extensive using of the renewable energy sources especially, wind generation in the electric energy generation, application of this tool
Milad Gholami fard +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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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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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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