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Identification of Key Lines for Multi-Photovoltaic Power System Based on Improved pagerank algorithm

FRONTIERS IN ENERGY RESEARCH 2020年 8卷

作者： Feng, Hao Li, Sheng Li, Huaisen Nanjing Inst Technol Sch Elect Power Engn Nanjing Peoples R China CGN New Energy Investment Shenzhen Co LTD Nanjing Peoples R China

In order to accurately identify the key lines in the photovoltaic (PV) grid-connected system, an identification method based on the improved pagerank algorithm is proposed. Firstly, the correlation matrix reflecting the electrical characteristics of the system is constructed using the line current-carrying rate, line breaking power flow transfer rate and line coupling rate, to replace the original network topology matrix. Secondly, through the entropy method, a comprehensive evaluation index based on electrical betweenness, load deviation rate and voltage shock rate is constructed to improve the distribution of the initial pagerank (PR) value of the PV grid-connected system. To study the changes' impact of PVs active power outputs on the identification results of key lines in the Multi-PV power system, the HGWO-SVM (Hybrid Grey Wolves Optimized Support Vector Machine) algorithm was used to obtain the PVs daily outputs prediction curves and obtain fixed outputs of PVs at different periods, so as to study the impact of the variation of PV daily output on the key line identification. Taking the IEEE 39-node system containing multi-PV as an example, the identification results show that the improved pagerank algorithm is superior to the original method in line identification accuracy. The HGWO-SVM algorithm by adaptively modifying the cross operator and mutation operator also has a certain improvement in prediction accuracy. The changes of PVs daily outputs have different degree of influence on the line criticality (namely final PR value) during periods of high light intensity and other periods of light intensity.

关键词： line identification pagerank algorithm photovoltaic hybrid grey wolves optimized support vector machine multi-photovoltaic power system

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Structural Vulnerability Assessment of Multi-energy System Using a pagerank algorithm 10

Structural Vulnerability Assessment of Multi-energy System U...

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10th International Conference on Applied Energy (ICAE)

作者： Shen, Yichen Gu, Chenghong Zhao, Pengfei Univ Bath Bath BA2 7JY Avon England

Severe natural catastrophes may directly cause large-scale cascading failures in energy systems. This paper presents a comprehensive scheme of vulnerability assessment for multi-energy systems, including both electricity and natural gas. Differing from cascading failure theory, this scheme employs pagerank algorithm to measure the structural importance of the integrated system. A modified weighted pagerank methodology is applied to determine the importance of nodes in both natural gas and electricity networks. The effectiveness of this scheme is demonstrated and analyzed via an integrated energy system in the case study. This algorithm can help identify the weakness in the integrate energy system so that purposeful planning and operation strategies can be deployed to increase the security. (C) 2019 The Authors. Published by Elsevier Ltd.

关键词： Vulnerability assessment Combined Gas-electric system pagerank algorithm

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Discovery of Key Nodes in Social Networks Premised on pagerank algorithm

Discovery of Key Nodes in Social Networks Premised on PageRa...

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Image Processing, Electronics and Computers (IPEC), Asia-Pacific Conference on

作者： Su Bo Gan Wenfeng Li Yan Southwest Branch of State Grid Corporation of China (SGCC) Chengdu China

ISBN: (数字)9781728160672

ISBN: (纸本)9781728160689

By abstracting the complex structure of social network into undirected graph, nodes into pages and edges into hyperlinks, and combining pagerank algorithm with the discovery of key nodes in social networks, this thesis comes up with a new algorithm of key nodes premised on improved pagerank algorithm, and finally employs microblog data as data set. Through the experiment of comparing KeyRank algorithm with TIPR algorithm, it can be concluded that the pagerank algorithm proposed in this thesis is comparatively suitable for discovering key nodes. Under the same data set, the efficiency of identifying key nodes is raised by 30% in comparison with the other two algorithms.

关键词： Social Network pagerank algorithm Key Nodes Social Networks Social Media Ganglia algorithms Theses Social Capital Hyperlinks

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Research on Optimization of pagerank algorithm Based on Transition Probability

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WIRELESS PERSONAL COMMUNICATIONS 2018年第2期102卷 1171-1180页

作者： Shi, Xi Wei, Pengcheng Zhou, Zhen Chongqing Univ Educ Sch Math & Informat Engn Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Coll Automat Chongqing 400065 Peoples R China

In the current era of information explosion, information search has become the focus of research, and search engines generally use pagerank algorithm to sort web-page. Based on the situation, this paper starts with rules of pagerank algorithm, and aims at optimizing PR value problem of link page average allocation. After that, this paper carries on discriminant analysis to the probability of web-page randomly jump to any page with the probability of residual damping coefficient, and assigns the PR value according to number of downstream pages linked to specified page, namely, improving accuracy of the algorithm by optimizing transition probability matrix in the pagerank algorithm. Finally, we prove that optimized algorithm has improved accuracy of pagerank distribution, and is superior to traditional algorithm.

关键词： Transition probability pagerank algorithm Optimization

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Analysis of Important Nodes in the Complex Network of Shanghai Stock Exchange 50 Constituents based on pagerank and Louvain algorithm

Frontiers in Economics and Management

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Frontiers in Economics and Management 2021年第6期2卷 132-139页

作者： Wenhui Zhu

The stock market has typical complex network characteristics. By building a network share, dividing the community and analysising major nodes, conducive to in-depth understanding of the stock market as a whole and local properties and excavate important industry and stock information. The logarithmic return data of the 50 constituent stocks of the SSE are the research samples, and the stable, medium-strong correlation and significant stock sequences are screened through the ADF test and the Pearson correlation coefficient. Use the pagerank algorithm for reference to rank the importance of stock nodes, and use the Louvain algorithm to construct a stock network and divide the community network. Then study the local important nodes and stock network structure of the divided sub-community network. The research screened out 23 stocks and divided them into 3 communities in the community network. The main industries are the financial industry represented by securities, the financial industry represented by banks, and the mining industry. On the whole, the financial industry, mining industry and construction industry are key industries, accounting for 61%, 13% and 9% of the total industry distribution respectively. Among them, the financial industry is the most important industry, and China Construction (601668)'s PR value ranks first in both the overall network and the local network. In view of this, investors should put forward a rational investment, do a good job of evaluating important stock nodes when choosing investment objects; regulatory authorities should pay attention to the overall and partial market changes in important industries and stocks, make reasonable adjustments, etc.

关键词： Complex Network pagerank algorithm Louvain algorithm Pearson Correlation Coefficient

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Structural Vulnerability Assessment of Multi-energy System Using a pagerank algorithm

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Energy Procedia 2019年 158卷 6466-6471页

作者： Yichen Shen Chenghong Gu Pengfei Zhao University of Bath Claverton Down BA2 7JY Bath UK

关键词： Vulnerability assessment Combined Gas-electric system pagerank algorithm

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Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted pagerank algorithm 17th

Expert Finding in Citizen Science Platform for Biodiversity ...

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17th International Symposium on Intelligent Data Analysis (IDA)

作者： Saoud, Zakaria Fontaine, Colin Musum Natl Hist Nat Ctr Ecol & Sci Conservat UMR 7204 CNRS MNHN SU 61 Rue Buffon F-75005 Paris France

ISBN: (纸本)9783030017682;9783030017675

Numerous citizen science platforms aiming at monitoring biodiversity have emerged in the recent years. These platforms collect biodiversity data from participants and allow them to increase their scientific knowledge and share it with other participants, experts and scientists. One key aspect of such platforms is quality control on the data, a task usually performed by a limited number of co-opted experts. With the amount of data collected increasing steeply, finding new experts is needed. In this paper we propose a new graph-based expert finding approach for the citizen science platform SPIPOLL, aiming at collecting data on pollinator diversity across France. We exploit both users comments quality and users social relations to calculate users expertise for specific insect family. Experimental results show that the proposed method performs better than the state-of-the-art expert finding algorithms.

关键词： Expert finding pagerank algorithm Citizen sciences

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A Method based on Modified pagerank-algorithm for Measuring and Rating Android Malwares

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Procedia Computer Science 2020年 174卷 252-255页

作者： Zhidong Shen Muaan Ur Rehman Weiying Chen Yuande Liu Jin Liu Ting Zhong Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Wuhan 430079 China International School of Software Wuhan University Wuhan 430079 China Computer School Wuhan University

In recent years, mobile Internet has developed rapidly. Intelligent terminal play an increasingly important role in our lives and smart phone is the most popular intelligent terminal. Android as the market share of the largest platform has a lot of malicious applications deployed on it due to its openness and lack of strict supervision. In order to evaluate effectively on the app on the Android platform which may have malicious behavior, a method based on modified pagerank-algorithm is proposed in this paper. The basic design, implementation and example testing of the method for measuring and rating malicious applications based on android system are described.

关键词： Malicious Applications Android Platform Malware Rating pagerank algorithm Malware Classification

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Ranking Modules for Integrate Testing Based on pagerank algorithm

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Chinese Journal of Electronics 2017年第5期26卷 993-998页

作者： SUN Qi Krishna Ricky MONIZ YUAN Yuyu Key Laboratory of Trustworthy Distributed Computing and Service(BUPT) Ministry of EducationBeijing University of Posts and Telecommunications

The testing industry need to prioritize the limited resources and focus on testing modules whose failure is mostly likely to cause *** paper discusses a method that can rank modules in a software package for integrate testing using the PageR ank *** this algorithm,a sequences of random walks iteratively can find a high likelihood of encountering a node,which is interpreted as it being an important performance *** experiment result prove that the proposed method actually can be used to prioritize testing of specific modules when testing resource are scarce.

关键词： Software testing Integrate testing pagerank algorithm Testing prioritize

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Identification of Critical Nodes in Large Power Grid Based on pagerank algorithm

Identification of Critical Nodes in Large Power Grid Based o...

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International Conference on Power System Technology (POWERCON)

作者： Li, Jun Jiang, Shengbo Xie, Peiyuan Pan, Feilai Zeng, Ciling Yang, Jun State Grid Hunan Elect Power Co Changsha 410000 Hunan Peoples R China Wuhan Univ Sch Elect Engn Wuhan 430072 Hubei Peoples R China

ISBN: (纸本)9781538664612

Considering the similar characteristics of complex network between the power grid and the Internet, this paper proposes an identifying method of the critical nodes of the large power grid based on the pagerank algorithm. First, the original power grid Google matrix is constructed on the basis of power grid topology and actual power flow;Second, the different role of node type (PV/PQ) in load supply and power transmission is considered to modify the Google matrix;Then, the influence of node failure on power fluctuation and voltage deviation is integrated as grid security factors. Finally, the pagerank algorithm is used to identify the critical nodes that affect load supply and system security. Taking the IEEE 30-Bus system as an example, the effectiveness of the proposed method is verified by the simulation of intentional attack on critical nodes and comparison with other methods.

关键词： Critical nodes pagerank algorithm load supply system security

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