In this paper, we propose a distributed algorithm for the dynamic economic dispatch problem(DEDP) in a smart grid scenario. Different from the static economic dispatch problem(SEDP), the DEDP aims at minimizing the ag...
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ISBN:
(纸本)9781467374439
In this paper, we propose a distributed algorithm for the dynamic economic dispatch problem(DEDP) in a smart grid scenario. Different from the static economic dispatch problem(SEDP), the DEDP aims at minimizing the aggregate operating costs of a group of generators over a time period with ramp rate constraints. The proposed algorithm is based on the average consensus algorithm on undirected graphs and the alternating direction method of multipliers(ADMM). Our algorithm is distributed in the sense that no leader or master nodes are needed, while all the nodes(generators) conduct local computation and merely communicate with their neighbors. Convergence analysis shows that the proposed algorithm converges to the optimal solution.
Stability-constrained optimal power flow (SOPF) is an effective and economic tool to enhance stability performance by adjusting initial steady-state operating conditions, with the consideration of rotor angle and shor...
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Stability-constrained optimal power flow (SOPF) is an effective and economic tool to enhance stability performance by adjusting initial steady-state operating conditions, with the consideration of rotor angle and short-term voltage performance criteria. SOPF belongs to the category of dynamic optimization problems which are computationally expensive. In order to reduce its computational complexity, a hybrid dynamic optimization approach is proposed for efficient and robust solving SOPF problems. Based on the direct multiple shooting method, this approach combines the algorithmic advantages from existing direct sequential and simultaneous approaches. Coarse-grained parallelism among multiple shooting intervals is explored. A modular-based implementation architecture is designed to take advantage of the loose coupling between time-domain simulation and optimization. Case studies on various test systems indicate that the proposed approach is able to reduce computation time compared with other direct approaches for dynamic optimization. Also, the investigated parallelizations are effective to achieve acceleration on a symmetric multiprocessing platform.
The principles of the fractal geometry are applied for simulated and real images of the vessels. The final goal is to prove the utility of these techniques to diagnose some important vascular diseases such as the sten...
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ISBN:
(纸本)9781479917815
The principles of the fractal geometry are applied for simulated and real images of the vessels. The final goal is to prove the utility of these techniques to diagnose some important vascular diseases such as the stenos is and the arterio-venous malformations from the X-ray angiography. The computation of the fractal dimension based on Box-Counting method is worthy from the point of view of differentiation the healthy tissues from the diseases ones and needs further investigation using the fractal theory.
Determining the induced ℒ 2 norm of a linear, parameter-varying (LPV) system is an integral part of many analysis and robust control design procedures. In general, this norm cannot be determined explicitly. Most prio...
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Determining the induced ℒ 2 norm of a linear, parameter-varying (LPV) system is an integral part of many analysis and robust control design procedures. In general, this norm cannot be determined explicitly. Most prior work has focused on efficiently computing upper bounds for the induced ℒ 2 norm. This paper presents a complementary algorithm to compute lower bounds for this norm. The proposed approach is based on restricting the parameter trajectory to be a periodic signal. This restriction enables the use of recent results for exact calculation of the ℒ 2 norm for a periodic time varying system. The proposed lower bound algorithm has two benefits. First, the lower bound complements standard upper bound techniques. Specifically, a small gap between the bounds indicates that further computation, e.g. upper bounds with more complex Lyapunov functions, is unnecessary. Second, the lower bound algorithm returns a worst-case parameter trajectory for the LPV system that can be further analyzed to provide insight into the system performance. Numerical examples are provided to demonstrate the applicability of the proposed approach.
3-D reconstruction of industrial flame could be used to research for the completeness of combustion and flame temperature field. As the flame flicks and has no regular evident characteristic, 3-D reconstruction of fla...
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We investigate the existence and nonexistence of positive solutions for a system of nonlinear Riemann-Liouville fractional differential equations with coupled integral boundary conditions which contain some positive c...
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We investigate the existence and nonexistence of positive solutions for a system of nonlinear Riemann-Liouville fractional differential equations with coupled integral boundary conditions which contain some positive constants.
The variability of electromagnetic parameters of induction motors with deep-bar cage or solid rotors is represented, with a satisfactory approximation, by the machine secondary multi-loop equivalent circuit with const...
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The variability of electromagnetic parameters of induction motors with deep-bar cage or solid rotors is represented, with a satisfactory approximation, by the machine secondary multi-loop equivalent circuit with constant lumped parameters. An estimation procedure of electromagnetic parameters of such an equivalent circuit is presented in the paper. The procedure is carried out using the measured frequency characteristic determined on the basis of instantaneous values of investigated induction motor electromechanical quantities. The study has been subjected to an induction motor with a solid rotor manufactured from the magnetic material, i.e. a machine characterized by a significant skin effect occurring in rotor solid conductive elements.
Quantitative Feedback Theory (QFT) requires working with square plants or, in some cases using procedures of "squaring-down", it is possible to use more inputs than outputs, although always in a process of i...
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A ship's roll dynamics is sensitive to the mass and mass distribution. Changes in these physical properties might introduce unpredictable behavior of the ship and a worst-case scenario is that the ship will capsiz...
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A ship's roll dynamics is sensitive to the mass and mass distribution. Changes in these physical properties might introduce unpredictable behavior of the ship and a worst-case scenario is that the ship will capsize. In this paper, a recently proposed approach for online estimation of mass and center of mass is validated using experimental data. The experiments were performed using a scale model of a ship in a wave basin. The data were collected in free run experiments where the rudder angle was recorded and the ship's motion was measured using an inertial measurement unit. The motion measurements are used in conjunction with a model of the roll dynamics to estimate the desired properties. The estimator uses the rudder angle measurements together with an instrumental variable method to mitigate the influence of disturbances. The experimental study shows that the properties can be estimated with quite good accuracy but that variance and robustness properties can be improved further.
No single retargeting approach performs well on all images and all target sizes; therefore, hybrid algorithms are often considered as promising alternatives. However, most hybrid schemes are time consuming. In this pa...
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No single retargeting approach performs well on all images and all target sizes; therefore, hybrid algorithms are often considered as promising alternatives. However, most hybrid schemes are time consuming. In this paper, we propose a fast hybrid framework in which the Fast Content-Aware Image Distance (FCAID) is used to connect fast seam carving with neighboring probability constraints (FSc_Neip) and scaling. FCAID is used to measure the image distance between the resized image given by FSc_Neip and the original image. This fast technique is embedded within the FSc_Neip framework. Our hybrid scheme is locally applied in strip regions. This makes the retargeting scheme globally non-homogeneous. Experimental results demonstrate that our approach comprehensively outperforms other state-of-the-art techniques in terms of image quality and computational complexity.
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