A Data-Based Learning and Control Method for Long-Term Voltage Stability

Cai, Huaxiang; Ma, Hengchang; Hill, David J.

doi:10.1109/tpwrs.2020.2967434

Cited by 24 publications

(20 citation statements)

References 18 publications

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“…In order to solve the above 11 parameters, we select at least 6 sets of 2D and 3D point pairs (whose object coordinates and image coordinates are known) and list 11 equations according to formulas (3) and (4) to solve the above 11 unknown internal and external parameter, thereby the conversion relationship between the object coordinate system and the camera coordinate system is determined. When there are redundant observations, the unknown parameters can be solved by the least squares method [11]. We obtain a linear equation system of three equations containing the following three unknowns: x1, x2, and x3, the solved x1, x2, and x3 are the optimal solutions in the sense of least squares.…”

Section: Coordinate System and Its Transformationmentioning

confidence: 99%

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

2022

Journal of Control Science and Engineering

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In order to solve the problem that the properties of the acquired images in engineering are often poor and the features of the images are seriously lost, so that the image features cannot be effectively developed, an application method of CAD technology in the extraction of linear features of industrial parts images is proposed. Based on 3D computer-aided design (CAD) data, by solving the parameter transformation relationship between the CAD 3D Cartesian coordinate system and the image coordinate system, the target line feature is projected onto the image, and the initial value range of the image line feature is obtained. The edge point sequence is extracted by multiplication template matching, and the generated point sequence is fitted by the least square method to obtain the line equation of the image line feature. By solving the intersection of the intersecting lines of the image, the straight line segment representing the contour of the industrial part can be obtained with high precision. The experimental results show that the above algorithm is used to extract the line features of real industrial part images, and the median error of the difference between the reconstructed line length and the line length measured by the vernier caliper is 0.232 mm. The practice has proved that CAD technology has a certain auxiliary and guiding role in the research of industrial part image feature extraction algorithms. It can be applied to high-precision image measurement and reverse engineering of regular industrial parts. In engineering technology, it can help improve the automation level of industrial production.

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Section: Coordinate System and Its Transformationmentioning

confidence: 99%

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

2022

Journal of Control Science and Engineering

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“…As modern power systems are kept increasing in size, the research efforts of various artificial intelligence techniques have been applied. These can be categorized into two main directions: knowledge-based methods [4,5] and computational intelligence techniques [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…expert system [4,5], depending on operational knowledge are advanced in responsibility but challenged by the subjectivity of knowledge and a lack of adaptivity. On the contrary, computational intelligence techniques, including fuzzy logic control [6], artificial neural network (ANN) [7,8], evolutionary algorithms [9,10], and swarm intelligent algorithms [11,12], accumulate and depend on objective knowledge. For fuzzy logic control and ANN, the acquired knowledge is stored as rules or structures which may not meet the great uncertainties once the control system is fully and well trained.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Hierarchical Voltage Control based on the Dynamic Partition of Control Device Groups

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

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Optimal coordinated voltage control (CVC) for large scale power systems is a hard combinatorial optimization problem with fast response requirements. Intelligent techniques have been widely applied and proved with good performance for hard combinatorial optimization problems. However, with an increase in system scales, the knowledge-based techniques may lack adaptivity meeting enormous dynamics and changes, and the global search techniques cannot meet the quick response of CVC. A hierarchical CVC based on control device groups and an on-line supervised search is proposed. With multi-objective optimization, the control knowledge is obtained from the set of Pareto solutions by which the control devices are grouped into a hierarchical structure of basic, supplementary, and inactive control devices. A set of control knowledge are thus prepared by an off-line search, dynamically adjusted by an on-line search, and saved in a long-term memory. Based on the control knowledge an on-line hierarchical optimal search is applied to provide a quick real-time optimal control. Not only does the control knowledge provide active control devices considered for serious situations, but also works to supervise a global search including the inactive control devices for a non-serious situation. With this scheme, the optimal CVC is fast and adaptive to new situations.

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“…Various centralized as well as decentralized identification methods have been proposed in the literature [4][5][6][7]. Recent developments focus on schemes that take advantage of the distributed generation, using the concept of active distribution networks [8,9], while other approaches rely on neural networks for classifying system disturbances and relating them with proper countermeasures based on the system dynamics [10].…”

Section: Introductionmentioning

confidence: 99%

Validation of Voltage Instability Detection and Control Using a Real Power System Incident

Lambrou¹,

Mandoulidis²,

Vournas³

2021

Energies

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This paper applies a voltage instability monitoring method based on voltage and current measurements from a transmission bus PMU on the Hellenic Interconnected System using both unstable and marginally stable scenarios, derived from the historical 12 July 2004 blackout of the Athens area. The effectiveness, selectivity and reliability of the proposed monitoring method is clearly demonstrated, allowing its integration into a System Protection Scheme with direct load shedding. It is shown that the proposed instability detection and control scheme could have prevented the voltage collapse if applied at the time of the event.

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A Data-Based Learning and Control Method for Long-Term Voltage Stability

Cited by 24 publications

References 18 publications

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

Application of CAD Technology in Extracting Line Feature of Industrial Part Image

An Intelligent Hierarchical Voltage Control based on the Dynamic Partition of Control Device Groups

Validation of Voltage Instability Detection and Control Using a Real Power System Incident

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