Influence of End Structure on Electromagnetic Forces on End Winding of a 1550 MW Nuclear Generator

Zhang, Chong; Huang, Song; Yang, Yongming; Guang-hou, Zhou

doi:10.1155/2017/9545238

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…Cuckoo Search [48,49] Medical applications [50,51] Clustering and data mining applications [52][53][54] Image Processing, Engineering Design, Energy and Economic Load Problems among others Grey Wolf Optimizer [55][56][57][58] Machine learning applications [59][60][61] Engineering applications [62][63][64][65] Robotics, Scheduling, Wireless sensor network, Medical among others Artificial Bee Colony [66,67] Engineering applications [68,69] Data Mining [70][71][72] Bioinformatics, Clustering, Image Processing among others Genetic Algorithm [73,74] Engineering Design [75,76] Medical applications [77][78][79] Image Processing, Energy Load Problems among others…”

Section: Algorithm References Applicationsmentioning

confidence: 99%

A novel meta-heuristic optimization algorithm based on cell division: Cell Division Optimizer

Jain

Bharti

2021

Preprint

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A novel meta-heuristic algorithm named as the Cell Division Optimizer (CDO) is proposed. The proposed algorithm is inspired by the reproduction methods at the cellular level, which is formulated by the well-known cell division process known as mitosis and meiosis. In the proposed model Meiosis and Mitosis govern the exploration and exploitation aspects of the optimization algorithm, respectively. In the proposed method, the solutions are updated in two phases to achieve the global optimum solution. The proposed algorithm can be easily adopted to solve the combinatorial optimization method. To evaluate the proposed method, 50 well-known benchmark test functions and also 2 classical engineering optimization problems including 1 mechanical engineering problem and 1 electrical engineering problem are employed. The results of the proposed method are compared with the latest versions of state-of-the-art algorithms like Particle Swarm Optimization, Cuckoo Search, Grey Wolf Optimizer, FruitFly Optimization, Whale Optimizer, Water-Wave Optimizer and recently proposed variants of top-performing algorithms like SHADE (success history-based adaptive differential evolution) and CMAES (Covariance matrix adaptation evolution strategy). Moreover, the convergence speed of the proposed algorithm is better than the considered competitive methods in most cases.

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Section: Algorithm References Applicationsmentioning

confidence: 99%

A novel meta-heuristic optimization algorithm based on cell division: Cell Division Optimizer

Jain

Bharti

2021

Preprint

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Analysis of Electromagnetic Force on Rotor End Windings of a 300 MW Variable-Speed Generator Motor for Pumped Storage

Qiao

Sun

2020

Mathematical Problems in Engineering

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The variable-speed generator motor (VSGM) for pumped storage has a cylindrical rotor with three-phase lap or wave windings distributed in slots evenly and fed by a converter. For a large-scale VSGM, the electromagnetic force (EMF) on rotor end windings is an important contributor to distortion, vibration, and even damage of rotor end windings. A 3D finite element model of rotor end region of a 300 MW VSGM is set up. The distribution map of EMF density on involute and nose parts of rotor end windings, under rated load and three-phase short circuit at supersynchronous and subsynchronous speed, is drawn. Furthermore, the amplitude of EMF is calculated, and the radial, tangential, and axial components of EMF are analyzed. The results in this paper will lay a foundation for design of rotor end windings and their support structure.

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Influence of End Structure on Electromagnetic Forces on End Winding of a 1550 MW Nuclear Generator

Cited by 2 publications

References 20 publications

A novel meta-heuristic optimization algorithm based on cell division: Cell Division Optimizer

A novel meta-heuristic optimization algorithm based on cell division: Cell Division Optimizer

Analysis of Electromagnetic Force on Rotor End Windings of a 300 MW Variable-Speed Generator Motor for Pumped Storage

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