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Pan C.,Northeast Dianli UniversityJilin Province | Meng T.,Northeast Dianli UniversityJilin Province | Yin H.,Changchun Electrical Supply Company | Su K.,Jilin Electric Power Research Institute
Applied Mechanics and Materials | Year: 2014

The problem of generalized power sources planning in distribution system is researched. Meanwhile, the active and reactive power of generalized power source are treated as control variables. In this paper a generalized index for probabilistic optimal planning is presented. Based on this, a new probabilistic assessment model being setted up, a new glowworm swarm optimization algorithm is used to optimize the generalized power source. Finally, the model and algorithm are tested and improved by modified IEEE 33-node example. The calculation result shows that the proposed model and algorithm are feasible and superior. © (2014) Trans Tech Publications, Switzerland. Source


Wang Z.H.,Northeast Dianli UniversityJilin Province | Li Y.,Northeast Dianli UniversityJilin Province | He X.Y.,State Grid Corporation of China
Mechatronics Engineering and Electrical Engineering - Proceedings of the 2014 International Conference on Mechatronics Engineering and Electrical Engineering, CMEEE 2014 | Year: 2015

In this paper, an additional damping controller for VSC-HVDC with the structure of single input and single output is presented. Choosing active power order of VSC-HVDC as input and active power transferred on parallel AC line as output, the simplified opened-loop transfer function between input and output is derived by Prony identification. Then the damping controller is designed by closedloop pole placement. The model of VSC-HVDC system utilizing additional damping controller is constructed, and the time-domain simulation analysis of an example of accessing the VSC-HVDC model is carried out. The simulation results show that AC system damping for low-frequency oscillation is obviously increased and operation stability is improved. © 2015 Taylor & Francis Group, London. Source


Xiao Q.,Northeast Dianli UniversityJilin Province | Wang Q.W.,Northeast Dianli UniversityJilin Province
Applied Mechanics and Materials | Year: 2014

As one of the forms of composite structure system,the steel reinforced concrete(SRC) frame structure has the advantages of high carrying capacity and excellent elastic - plastic.The SRC has been widely used in high-rise structures and bridges. Meanwhile, it has promising application prospects in industrial plant construction. However, there are not many researches on the entity SRC structure in China at present, and many issues need to be explored. In this paper, we will give suggestions of application in the SRC industrial main plant, during designing of SRC frame structure in Daqing city, Heilongjiang province. © (2014) Trans Tech Publications, Switzerland. Source


Xiaoli G.,Northeast Dianli UniversityJilin Province | Jiajia Z.,Northeast Dianli UniversityJilin Province | Zhaoyang Q.,Northeast Dianli UniversityJilin Province | Yongwen W.,Northeast Dianli UniversityJilin Province | Ping G.,Liaoning Jianzhu vocational universityLiaoning Province
International Journal of Multimedia and Ubiquitous Engineering | Year: 2015

With the extending in the domain of data mining application, the research of the privacy preserving in data mining based on k-anonymity becomes more and more concerned. The key point of the research is to protect data while it’s still effective in data mining. However, these methods result in too much information loss, and Multi-dimension bucketization does not generalize quasi-identifiers, which make the anonymized data easy to suffer from linking attack. To overcome these drawbacks, we put forward the thought of data classification processing, named MADARS. MADARS first deal with identifier attributes based on MA-Datafly and then randomized multi-sensitive attributes. Experiment results show that compared with the widely used algorithm Incognito the method can greatly improve the efficiency of the privacy protection while reduce the less personal information and the effectiveness of data is greatly increased. This work is supported by National Natural Science Foundation of China (No.51277023). © 2015 SERSC. Source


Xiao B.,Northeast Dianli UniversityJilin Province | Wang H.,Northeast Dianli UniversityJilin Province | Mu G.,Northeast Dianli UniversityJilin Province
Applied Mechanics and Materials | Year: 2014

A spatial load forecasting method based on reliability of load forecasting is proposed. It calculates the correlation of wave comprehensive index, variance, maximum predictable ability of each power supply small area’s historical load data by using the analysis theory of grey degree based on the analysis of load forecasting error last target year. The weight of each factor effected on prediction outcomes according to the gray correlation degree is determined, then the load forecasting reliability model of each power supply area is constructed. Finally, by using the adjustment role of load forecasting reliability, the load of target year is forecasted. Actual example shows that the spatial load forecasting method based on reliability of load forecasting is correct and effective. © (2014) Trans Tech Publications, Switzerland. Source

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