云技術在電網(wǎng)資源調(diào)度系統(tǒng)中的應用研究
發(fā)布時間:2018-12-18 01:23
【摘要】:隨著社會經(jīng)濟的持續(xù)發(fā)展,電力系統(tǒng)正朝著智能電網(wǎng)的方向發(fā)展。在此狀態(tài)下,電力資源調(diào)度呈現(xiàn)出信息海量化、分布化、處理自動化的特點。而面對如此規(guī)模的數(shù)據(jù)處理過程,如何有效地實現(xiàn)信息的集成、分析、計算和存儲,就成為電網(wǎng)資源調(diào)度的難點。結合云技術的相關特性,將云計算引入到電網(wǎng)資源調(diào)度系統(tǒng)中,并利用動態(tài)遷移調(diào)度算法實現(xiàn)了物理云資源的平衡使用,從而為電力調(diào)度提供了更為智能化的決策支持和實現(xiàn)方式。
[Abstract]:With the sustainable development of social economy, the power system is developing towards the direction of smart grid. In this state, power resource scheduling presents the characteristics of information sea quantization, distribution and processing automation. Faced with such a large data processing process, how to effectively realize the integration, analysis, calculation and storage of information becomes the difficulty of power grid resource scheduling. Combined with the related characteristics of cloud technology, cloud computing is introduced into power grid resource scheduling system, and dynamic migration scheduling algorithm is used to realize the balanced use of physical cloud resources. Thus, it provides more intelligent decision support and realization for power dispatching.
【作者單位】: 鄭州旅游職業(yè)學院信息工程系;
【分類號】:TM73
本文編號:2385079
[Abstract]:With the sustainable development of social economy, the power system is developing towards the direction of smart grid. In this state, power resource scheduling presents the characteristics of information sea quantization, distribution and processing automation. Faced with such a large data processing process, how to effectively realize the integration, analysis, calculation and storage of information becomes the difficulty of power grid resource scheduling. Combined with the related characteristics of cloud technology, cloud computing is introduced into power grid resource scheduling system, and dynamic migration scheduling algorithm is used to realize the balanced use of physical cloud resources. Thus, it provides more intelligent decision support and realization for power dispatching.
【作者單位】: 鄭州旅游職業(yè)學院信息工程系;
【分類號】:TM73
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