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Reliable Space Pursuing for Reliability-based Design Optimization with black-box Performance functions

Chinese Journal of Mechanical Engineering 2009年第1期22卷 27-35页

作者： SHAN Songqing WANG G Gary Department of Mech. and Manufacturing Engineering the University of Manitoba Winnipeg MB R3T 5 V6 Canada School of Engineering Science Simon Fraser University Surrey BC V3T OA3 Canada

Reliability-based design optimization （RBDO） is intrinsically a double-loop procedure since it involves an overall optimization and an iterative reliability assessment at each search point. Due to the double-loop procedure, the computational expense of RBDO is normally very high. Current RBDO research focuses on problems with explicitly expressed performance functions and readily available gradients. This paper addresses a more challenging type of RBDO problem in which the performance functions are computation intensive. These computation intensive functions are often considered as a ＂black-box＂ and their gradients are not available or not reliable. On the basis of the reliable design space （RDS） concept proposed earlier by the authors, this paper proposes a Reliable Space Pursuing （RSP） approach, in which RDS is first identified and then gradually refined while optimization is performed. It fundamentally avoids the nested optimization and probabilistic assessment loop. Three well known RBDO problems from the literature are used for testing and demonstrating the effectiveness of the proposed RSP method.

关键词： Reliability based design optimization black-box function reliable design space

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Metamodeling Transfer Capability of Manitoba-Ontario Electrical Interconnections

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Journal of Mechanics Engineering and Automation 2011年第6期1卷 464-472页

作者： Songqing Shan Wenjie Zhang Myma Cavers G. Gary Wang Dept. of Mech. ＆ Manu. Falculty of Engineering University of Manitoba Winnipeg MB R3T 5V6 Canada System Performance Department Manitoba Hydro Winnipeg MB R3C 2P4 Canada Mechatronic Systems Engineering School of Engineering Science Simon Fraser University Surrey BC V3T OA3 Canada

The electric power transfer capability on the Manitoba-Ontario interconnection depends on various system operating conditions such as area generation patterns and ambient temperatures. This work models the power network as a black-box function, which is evaluated with the system reliability analysis techniques to determine the maximum transfer capability under a given operating condition. A metamodel or an approximation model of the maximized power transfer capability is built based on the sampled system responses and optimized with respect to the corresponding operating conditions. An optimal metamodel is implemented as a prototype software tool, PTCanalyzer, and applied to Manitoba-Ontario interconnection power transfer calculations. This optimized metamodel technique provides an in-depth understanding of the dependency of the power transfer capability on system operating conditions and proves to be an effective tool in optimizing the operation planning of the interconnection for a given power system configuration. The PTCanalyzer has the potential to be used for optimization of other power network interconnections.

关键词： Power transfer black-box function metamodel optimization.

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