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Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 1009-1020页

作者： Zhenlong Li Peng Li Jing Xia Xiangqian Liu Beijing Jiaotong University BeijingChina State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina Beijing Goldwind Science&Creation Wind Power Equipment Co. Ltd.BeijingChina

Micro-energy grids have shown superiorities over traditional electricity and heating management *** paper presents a hybrid optimization strategy for micro-energy grid dispatch with three salient ***,to enhance the ability to support new storage equipment,an energy hub model is proposed using the non-supplementary fired compressed air energy storage(NSF-CAES).This provides flexible dispatch for cooling,heating and ***,considering the unique characteristics of the NSF-CAES,a sliding time window(STW)method is designed for simple but effective energy ***,for the optimization of energy dispatch,we blend the differential evolution(DE)with the hyper-spherical search(HSS)to formulate a hybrid DE-HSS algorithm,which enhances the global search ability and *** case studies are performed using real data of scenarios to demonstrate the superiorities of the proposed scheme.

关键词： Energy hub dispatch hyper-spherical search micro-energy grid sliding time window

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A novel signal processing algorithm for measurement while drilling（MWD） system

A novel signal processing algorithm for measurement while dr...

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第40届中国控制会议

作者： ShiLong Cheng Yule Hu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Faculty of Engineering China University of Geosciences

Measurement while drilling（MWD） is a widely used signal transmission technology in the drilling *** present,the domestic pulse identification method is relatively simple,using the basic threshold method to identify,only set the threshold which will leading a number of missing detection mud pulse in the complex working *** this paper,a novel data processing algorithm is proposed for measurement while drilling *** method designed in this paper identifies the start time of data frame by using correlation coefficient and synchronization head model,then,based on the principle that the amplitude of mud pulse signal is larger than that of noise pulse signal,the maximum pulse signal in the length of a group of mud pulse series is extracted as mud pulse *** simulation is executed using the data from the actual drilling process and the results show the effectiveness of the proposed method.

关键词： Measurement while drilling Pulse recognition Correlation coefficient sliding time window

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