Flexible Interconnect Design Using a Mechanically-Focused, Multi-Objective Genetic Algorithm

Gonzalez, Joe L.; Jo, Paul K.; Abbaspour, Reza; Bakir, Muhannad S.

doi:10.1109/jmems.2018.2843809

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…DSM strategy includes DSM controller, which is used to calculate the user side energy-saving control method of smart grid based on genetic algorithm. User side intelligent controller is used to disconnect or connect different types of loads [10].…”

Section: Introductionmentioning

confidence: 99%

DSM and Optimization of Multihop Smart Grid Based on Genetic Algorithm

Zhu

Song

2022

Computational Intelligence and Neuroscience

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Multihop smart grid is built on the basis of an integrated and high-speed communication network. Through the application of advanced sensing and measurement technology, equipment technology, control method, and advanced decision support system technology, the goal of reliable, safe, economic, efficient, environment-friendly, and safe use of the power grid is realized. In order to solve the problem of excessive demand for power supply, new energy power generation and demand response are proposed. According to the above background, the demand side economic scheduling problem is a complex optimization problem, which is difficult to be solved by ordinary algorithms. The adaptive global search algorithm based on a genetic algorithm can better solve complex optimization problems. The genetic algorithm proposed in this paper can effectively manage a large number of controllable loads in the selected area. The algorithm minimizes the cost and peak to the average ratio by changing the load. Home users can arrange their maximum load when the price is low. The peak load of residential buildings decreased from 98.5 kw/h to 90 kw/h, and the peak load decreased by about 7.53%. Through appropriate load dispatching, users minimize the daily electricity charge, which is reduced from 1352 yuan to 1245 yuan per day, and the daily electricity charge is reduced by about 7.25%. In addition, the advanced measurement, communication, and control means under the framework of the smart grid also play a key role in promoting all aspects of demand side management (DSM).

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Section: Introductionmentioning

confidence: 99%

DSM and Optimization of Multihop Smart Grid Based on Genetic Algorithm

Zhu

Song

2022

Computational Intelligence and Neuroscience

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“…In [10], a cost-effective fabrication process for innovative Flex-Connects was reported, and systematic mechanical and electrical simulations were carried out to verify its reliability. Taking advantage of multi-object genetic algorithm, a compliant structure named Mechanically Flexible Interconnect (MFI), which was made of alloy NiW, was designed and optimized to overcome the local excessive stress [11][12][13]. By introducing an air gap, the MFI structure could effectively alleviate thermal coupling and local hot spot aggregations [14,15].…”

Section: Introductionmentioning

confidence: 99%

Multiphysics Analysis and Optimal Design of Compressible Micro-Interconnect for 2.5D/3D Heterogeneous Integration

et al. 2021

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Compressible Micro-Interconnect (CMI) shows tremendous potential in 2.5D/3D heterogeneous integration due to its outstanding performance in integration, electrical isolation, and thermal management. In this work, an optimal design approach for CMIs is developed based on a coupling framework of multiphysics simulation and particle swarm optimization (PSO). In the framework, the mechanical simulation was conducted firstly to obtain the stress distributions as CMI switched from the initial state to the working position. The contact resistance between CMI and the top pad was modeled and quantitively analyzed. Subsequently, the PSO method was utilized to implement the structural optimization of CMI to improve the performance. Multiphysics simulations of both the original and optimized CMIs were carried out and compared. With the implementation of the optimized CMIs, the contact resistance dropped from 155.3 mΩ to 108.8 mΩ, which brought significant improvement in both DC voltage drop and self-heating effect. The influence of the self-heating effect on the electrical performance of CMI is also discussed qualitatively.

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