Modern design optimisation exploiting field simulation

Sykulski, J.K.

doi:10.1109/epepemc.2008.4635620

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…It also means that no optimized design can be found with simple straightforward approach. Deterministic optimization has the advantage of high efficiency, but may be locked to local minimums, while the stochastic optimization is likely to find the global minimum with intensive computation [30]. The optimization of a generator for wind power plants can be categorized into system level optimization and equipment level optimization [31]- [32].…”

Section: Coupling Methodsmentioning

confidence: 99%

Review of modeling methods in electromagnetic and thermal design of permanent magnet generators for wind turbines

Zhang

Matveev²,

Øvrebø³

et al. 2011

2011 International Conference on Clean Electrical Power (ICCEP)

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The rapidly developing wind power industry demands high power generators. Direct driven permanent magnet synchronous generator (PMSG), which has the advantages of high drive train efficiency and high reliability, is promising in wind turbine applications, especially offshore. It is known, that direct driven PMSG is heavier than its geared counterparts, which increases the cost and may bring up engineering challenges. Integrating the active parts of PMSG with the blades, hub or nacelle and sharing the carrying structures can give considerable reduction of the top head mass. Integrated design challenges the electromagnetic and thermal analysis of PMSG from the perspective of whole system and the design approach may differ from the conventional. This paper presents an overview of the modeling methods for the design of PMSG. First, the drive train technology is discussed and challenges in the design of PMSG are identified. Secondly, the electromagnetic and thermal design methods are reviewed. Finally, development of simulation software is investigated.Index Terms -Direct driven, integrated design, modeling, permanent magnet generators, wind turbines.978-1-4244-8930-5/11/$26.00 ©2011 IEEE

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Section: Coupling Methodsmentioning

confidence: 99%

Review of modeling methods in electromagnetic and thermal design of permanent magnet generators for wind turbines

Zhang

Matveev²,

Øvrebø³

et al. 2011

2011 International Conference on Clean Electrical Power (ICCEP)

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Multiobjective Optimization of Inverse Problems Using a Vector Cross Entropy Method

Yang²

2012

IEEE Trans. Magn.

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Integration of Directed Searches in Particle Swarm Optimization for Multi-Objective Optimization

Yang

et al. 2015

IEEE Trans. Magn.

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While a wealth of endeavors in optimization studies are devoted to the realization of the two ultimate goals, which are: 1) to minimize the distance between the found solutions from the true Pareto front and 2) to maximize the diversity among the found Pareto solutions in both objective and parameter spaces; only lukewarm efforts are given to the development and utilization of approximating techniques of non-dominated sets in continuous multi-objective optimization studies. In this regard, a directed search method embedded in a vector particle swarm optimization (PSO) algorithm, as an exploiting search phase to improve the efficiency of the algorithm, is proposed to steer the searches toward the desired direction. The proposed strategy excludes gradient computations of the Jacobian in determining the corresponding desired direction in the parameter space. The components of the PSO algorithm are also redesigned accordingly. The performances with the application of the proposed algorithm on two case studies are reported and compared with those of three well developed vector evolutionary algorithms.Index Terms-Direct search (DS), multi-objective optimization, Pareto optimal solution, particle swarm optimization (PSO).

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Modern design optimisation exploiting field simulation

Cited by 4 publications

References 3 publications

Review of modeling methods in electromagnetic and thermal design of permanent magnet generators for wind turbines

Review of modeling methods in electromagnetic and thermal design of permanent magnet generators for wind turbines

Multiobjective Optimization of Inverse Problems Using a Vector Cross Entropy Method

Integration of Directed Searches in Particle Swarm Optimization for Multi-Objective Optimization

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