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首页> 外文会议>International Conference on Cloud Computing and Big Data >Research on the Application of Distributed Self-Adaptive Task Allocation Mechanism in Distribution Automation System
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Research on the Application of Distributed Self-Adaptive Task Allocation Mechanism in Distribution Automation System

机译：分布式自适应任务分配机制在配电自动化系统中的应用研究

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摘要

With the development of distribution network, and the intelligentization of terminal devices in distribution automation system, it becomes key point that research the task allocation method and self-adaptive task allocation model from perspective of distributed system to improve the utilization of the devices in whole distribution network and optimize the system performance on intelligent terminal devices and master station. This paper proposes a mathematical model of the system performance index, and puts forward four kinds of typical distributed self-adaptive task allocation model in distribution automation system, OQOD model, OQND model, NQND model and NQOD model, according to the impact factors in the mathematical model and the existing distributed self-adaptive algorithm, such as self-adaptive Min-Min algorithm. This paper also analyzes the structural characteristics and application environment of three kinds of distributed self-adaptive task allocation model, and further puts forward the feasible suggestion about the future research on each model.
机译：随着分销网络的发展，以及分布式自动化系统中终端设备的智能化，它成为从分布式系统的角度研究任务分配方法和自适应任务分配模型的关键点，以改善整个分布中设备的利用网络和优化智能终端设备和主站的系统性能。本文提出4种典型的分布式自适应任务分配模型在配电自动化系统，OQOD模型，OQND模型，NQND模型和NQOD模型，根据影响因素的系统性能指标的数学模型，并提出了数学模型与现有分布式自适应算法，如自适应MIN-MIN算法。本文还分析了三种分布式自适应任务分配模型的结构特点和应用环境，并进一步提出了有关各型号的未来研究的可行性建议。

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