01 May 2017, Volume 38 Issue 5

    

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   Editor‘s Letter

  ZHANG Pei

  Electric Power Construction. 2017, 38(5): 1.

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   Innovative Data-Driven Applications in Future Active Distribution Network: Technologies, Prospect and Challenges

  DONG Zhaoyang, CHEN Yingying, LUO Fengji

  ELECTRIC POWER CONSTRUCTION. 2017, 38(5): 2. https://doi.org/10.3969/j.issn.1000－7229.2017.05.001

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   This paper discusses some promising innovative data-driven applications in future active distribution networks (ADN), based on the current development of smart grid. Firstly, this paper analyzes the state-of-the-art and development trends of the ADN, and then introduces some important data analytics technologies that can be expected to be applied in future active distribution networks. Based on this, this paper discusses some innovative data-driven applications and also analyzes the associated challenges in the actual implementation. 

   
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  Impact  of Energy Internet on Power Demand Side Management Evolution

   

  ZHAO Dongyuan, GAO Feng

  Electric Power Construction. 2017, 38(5): 11. https://doi.org/10.3969/j.issn.1000－7229.2017.05.002

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   Ministry of Industry and Information Technology publishes “Industrial Power Demand Side Management Major Project Action Plan (2016－2020)”, the goal of which is to promote the efficient utilization of electricity by industry and enterprise in accordance with principles of science, safety, economy, smartness, and to produce more valuable goods by consuming less amount of power. Accordingly, the target of this paper is to analyze the impact and consequences of Energy Internet on power demand side management. First, this paper reviews the basic technological framework of power demand side management. Second, this paper introduces a multi-layer structure of Energy Internet: physics, data, and application layers with a focus on salient characteristics and the impact on power demand side management. Last, this paper proposes a technological system for implementing power demand side management at industrial parks in sync with the spirit of Energy Internet. 

   
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   Review of Intelligent Power Electronic Device Research

  CAO Junwei, YANG Jie, YUAN Zhongda, WU Koulin, FANG Taixun, YANG Fei

  Electric Power Construction. 2017, 38(5): 18. https://doi.org/10.3969/j.issn.1000－7229.2017.05.003

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   Intelligent power electronics device is the important foundation for smart grid and energy Internet. It is vitally important and has practical significance to carry out research on intelligent power electronics device. In order to promote the theoretical research and practical development of intelligent power electronics devices, this paper surveys the current progress of intelligent power electronics device. Power electronics devices are classified according to their major functionalities. For each class, this paper discusses supporting techniques such as sensing, communication, automatic control and so on. Based on the analysis of research directions of intelligent monitoring, fault diagnosis and condition assessment, this paper summarizes the application situation of intelligent power electronics devices. In the end, this paper discusses the development trend of intelligent power electronic devices, and proposes suggestions on some urgent problems.

   
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   Application Analysis of Smart Glasses in Power Industry

  ZHANG Pei，MENG Xiangfei，DENG Xiaoyang，ZHANG Hao，GU Tianxiong

  Electric Power Construction. 2017, 38(5): 31. https://doi.org/10.3969/j.issn.1000－7229.2017.05.004

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   Smart glasses are proposed in recent years, which is one of the most promising wearable smart devices. It has the features of hands-free, connecting with Internet at any time and dynamic visual analysis. This paper first lists smart glasses functions, compares the performance parameters among main products, and from application view proposes an evaluation framework and applies it to evaluate the technical parameters of main products. Then this paper describes the application scenarios of smart glasses in maintenance, warehouse management, training of power industry. Finally, this paper proposes the future development needs of smart glasses in power industry and some suggestions. Introducing smart glasses into the power industry can help improve work efficiency, reduce the cost of the enterprise, and ensure the safe and stable operation of power grid.

   
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   Reliability Analysis of Business in Grid Cyber Physical System Considering the Factors of Cyber Attacks

   

  RU Yeqi, ZHOU Bin, WU Yibei, LI June, YUAN Kai, LIU Kaipei

  Electric Power Construction. 2017, 38(5): 38. https://doi.org/10.3969/j.issn.1000－7229.2017.05.005

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   The deep integration and interaction between cyber space and power space is the main feature of grid cyber physical system (GCPS). According to the wide-area real-time protection and control business in smart grid, this paper firstly studies the way of the impacts of information business on the reliability of physical system, and establishes the model of business reliability associated with information equipment. On this basis, this paper introduces the reliability factor of equipment, proposes the reliability evaluation indexes for information equipment considering cyber attack, and presents a quantitative evaluation method of business reliability with combining analytic hierarchy process (AHP) and Bayesian network. Finally, through the case study, this paper identifies the weak link of the information system considering cyber attack and analyses the impact of information systems with different levels of redundancy on business reliability. Meanwhile, compared with the existing method, the result verifies the feasibility and rationality of the proposed method.

   
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   Typical Characteristics and Joint Test Verification of Cyber Physical System in Distribution Network

  CHEN Bin，HUANG Jianye，ZHANG Gonglin，FAN Yuanliang，WANG Qi，TANG Yi

  Electric Power Construction. 2017, 38(5): 46. https://doi.org/10.3969/j.issn.1000－7229.2017.05.006

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   With the access of cyber physical resources such as multi-mode communication network and distributed generations, the characteristics of information flow and power flow in the distribution network have gone through an important shift. Therefore, theres an urgent requirement to research on the system operation and control issues from the perspective of cyber physical integration. Firstly, this paper specifically analyzes five typical characteristics of cyber physical system(CPS) in the distribution network. Furthermore, from the perspective of complementation between digital and analog verification, this paper proposes a CPS digital-analog test verification platform of distribution network to support the theory analysis and method research of CPS field, which can hold the complete interaction process between power flow and information flow. Finally, this paper presents a case of reactive power optimization strategy in the photovoltaic (PV) station to verify the effectiveness of the proposed platform.

   
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  Fuzzy Measurement of Information Communication System Risk Estimation in Smart Grid

  CUI Limin, LI Gang, WANG Tianjun, SHI Jianghong, SONG Yu

  Electric Power Construction. 2017, 38(5): 52. https://doi.org/10.3969/j.issn.1000－7229.2017.05.007

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   The deep fusion of cyber and physical system has brought new challenges to the risk assessment of the information and communication network in smart grid. Because the coupling degree between power grid and power information network is deeper and deeper, the risk assessment of power information and communication system contains multiple levels and indicators with a deep inner correlation. Under this background, this paper presents a comprehensive risk assessment model. Firstly, we construct the index system of risk assessment for power information communication network, and then comprehensively evaluate the risk with using fuzzy measure and fuzzy integral method, which determines the fuzzy density of single index by combining the subjective weighting calculation method with the objective calculation method, calculates fuzzy measure based on the obtained fuzzy density, and adopts fuzzy integral operator to integrate comprehensive estimation value of index set. Finally, the maximum membership degree principle is adopted to obtain the comprehensive risk value. The effectiveness of the method is verified by a case analysis.

   
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   Challenges of 5G network in Energy Internet

  ZHOU Qiang, LIU Jianlong, ZHOU Wenan

  Electric Power Construction. 2017, 38(5): 62. https://doi.org/10.3969/j.issn.1000－7229.2017.05.008

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   Energy internet needs to be coupled with energy flow and information flow for establishing a new energy system. This paper analyzes the current energy internet architecture and the demand for information and communication technology. With the current research status and development trend of 5G network, this paper expounds four main challenges of 5G network in the context of energy internet, including large-scale sensor access and networking technology, distributed energy management, application architecture for energy internet and quality of experience (QoE) and information security. Energy internet is a great reform of energy, and information and communication technology is one of the key technologies to realize it. This paper summarizes the challenges of 5G network under the background of energy internet, and gives reference for  future applications of information and communication technology in energy internet.

   
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   Design Scheme of Local Relay Protection Wireless Access Technology for Intelligent Substation 

  WU Sai, TONG Jie,ZHU Chaoyang, LI Yanjun, WANG Yang,LIU Xiaohu

  Electric Power Construction. 2017, 38(5): 69. https://doi.org/10.3969/j.issn.1000－7229.2017.05.009

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   With the development of energy Internet, intelligent substation in smart grid has been developed rapidly, and the distribution layout of relay protection device has become an inevitable trend. In order to deal with the intelligent substation relay protection decentralized arrangement, information remote control and other issues, this paper puts forward local relay protection scheme for substation based on wireless networks for industrial automation (WIA). According to the characteristics of the substation, the industrial wireless communication system is applied to the local relay protection control station of substation, which can monitor the substation locally installed device. We develop the wireless communication module for substation, and carry out the laboratory test and field test, while, the experimental results show that the proposed scheme can achieve high reliable and real-time transmission in complex environment, which has a certain reference value for the follow-up study of local relay protection in intelligent substation. 

   
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   Dielectric Loss Angle Identification of Capacitor Based on Synchronous Monitoring and Deep Learning

  WANG Xiaohui, ZHU Yongli,GUO Fengjuan

  Electric Power Construction. 2017, 38(5): 76. https://doi.org/10.3969/j.issn.1000－7229.2017.05.010

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   In the capacitor online monitoring system,the disturbance of lines on different position monitoring device is different. Therefor, the use of harmonic analysis in the calculation of dielectric loss angle has instability problem in engineering. This paper proposes a capacitor dielectric loss angle identification algorithm based on the synchronous monitoring and deep learning. Firstly, we present the wireless synchronous monitoring method of capacitor current and voltage signal, and the computation process of dielectric loss angle identification signal Dδ(t) for deep learning. Then, we verify the effectiveness of the proposed method through simulation, and compare the results with the Hanning windowed harmonic analysis method. Finally, we analyze the visualization of deep neural networks hidden layer. The results show that the algorithm accuracy is affected by white-noise level, harmonic amplitude ratio and the variation level of dielectric loss angle. In situations when harmonic amplitude ratio less then 10%, the algorithm accuracy has been fewer affected by frequency deviation, phase difference of harmonics.

   
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   Judgment Rules of Big Data Application in Power Industry

   

  ZHANG Pei，HE Yi，ZHANG Dahai，SUN Yixin，CHENG Jiaxu

  Electric Power Construction. 2017, 38(5): 85. https://doi.org/10.3969/j.issn.1000－7229.2017.05.011

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   The power grid is producing a large amount of data with various types. It is of great significance to effectively deal with and develop the maximum value of the data, which is one of the main purposes of electric power information construction. In the power industry, big data applications has aroused the attention of domestic and overseas experts and scholars. However, the application of power big data is still in its infancy. It is necessary to identify what is the application of power big data. This paper reviews the applications of the power big data at home and abroad, on this basis, illustrates the concept of the power big data. And then combined with specific application scenarios, this paper introduces the judgment rule of power big data from the aspects of technology and value, which can provide a useful guidance for the application of power big data in electric power industry. Data is asset, so power big data will certainly provide an important technical support for the development of the power industry and economic society.

   
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   Stream Computing and Dynamic Visualization for Electric Power Equipment Monitoring Data

  LI Li, ZHU Yongli, SONG Yaqi

  Electric Power Construction. 2017, 38(5): 91. https://doi.org/10.3969/j.issn.1000－7229.2017.05.012

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   Real-time analysis and visualization of power equipment monitoring data are the important contents of smart grid construction. The traditional data processing model represented by Hadoop cannot meet the requirements of business delay. This paper presents a method of stream computing and dynamic visualization for power equipment monitoring data based on Alibaba Cloud Stream Compute, and uses Stream Compute upstream and downstream service to build an application system for time-frequency analysis and visualization of power equipment monitoring data. The experimental tests show that the overall processing delay of the system is controlled at the second level, which can meet the performance requirements of on-line monitoring and real-time data display.

   
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   An Improved Method for Compressing Time Series Data of Dissolved Gas Monitoring in Oil

   

  ZHANG Wei，WANG Yingjie，WU Rongrong

  Electric Power Construction. 2017, 38(5): 98. https://doi.org/10.3969/j.issn.1000－7229.2017.05.013

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   In order to improve the monitoring data analysis and transmission efficiency of dissolved gases in oil, this paper proposes a improved compression storage method for time series data. Firstly, we distinguish the data types of state and analog, and create two-dimensional table with different data columns. Secondly, combining the spinning door transformation algorithm and Huffman compress algorithm, we create a data interval index to achieve data compression and storage. The measured results show that the proposed method can not only meet the requirements of efficient compression and storage data for time series, but also develop the large data analysis and cross system applications based on the improved data reading and transmission effect.

   
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   Outlier Detection Method Based on Compressed Time Series and Voronoi Diagram for Power Data 

   

  PEI Tian, QI Donglian

  Electric Power Construction. 2017, 38(5): 105. https://doi.org/10.3969/j.issn.1000－7229.2017.05.014

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   The deep integration of information system and physical system made power system easily affected by outlier data, while the existing outlier detection methods for power system didnt take the advantages of data features, and had problems such as heavy computation, bad flexibility and low precision, etc. This paper proposes an outlier detection method based on compressed time series and Voronoi diagram, which adopts the time series extraction method of important points section to reduce the dimension of data in power system, map it to a two-dimensional plane, construct the Voronoi diagram partition, and then detect the abnormal data. This method can reduce the data dimension and algorithm complexity, set anomaly threshold according to the sequence features flexible, and realize the accurate detection of abnormal data. The simulation results have verified the effectiveness of the proposed method.

   
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   Communication Network Architecture for Distribution Automation System Based on IPv6

   

  REN Zhengdong, LUAN Wenpeng, WANG Peng, GUO Shen

  Electric Power Construction. 2017, 38(5): 111. https://doi.org/10.3969/j.issn.1000－7229.2017.05.015

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   This paper reviews the implementation status of distribution automation system and analyzes the problems of its communication network architecture. Following the common communication network concept, we proposes a novel communication network architecture for distribution automation system based on IPv6, and discusses the advantages of the IPv6 based communication network architecture. The proposed communication network architecture for distribution automation system based on IPv6 meets the requirement of the future distribution automation system (user-side and grid-side). The significance of such communication network to the future smart grid can be expected. 

   
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   Requirement and Communication Technology of System Protection

   

  WANG Zhihui, WANG Yang, QIN Xuan, LI Yanbo, WANG Hu

  Electric Power Construction. 2017, 38(5): 116. https://doi.org/10.3969/j.issn.1000－7229.2017.05.016

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   With the rapid expansion of electrical power network, the existing “three lines of defense” strategy has been unable to meet the requirement of the complex power system security and stable operation. A new generation of large electric power integrated defense system is urgently necessary. Furthermore, It is required to build a high-speed, real-time, safe and reliable electric power communication network to support the system protection function, such as AC/DC control, pumped storage control, accurate load shedding, panoramic perception, etc. Based on the current situation of power communication network, firstly this paper analyses the business requirement of system protection including site distribution and information flow, transmission distance, channel bandwidth, and communication time delay. Secondly, this paper compares varies communication techniques and chooses two appropriate technologies to fulfill the system protection requirement. Finally, this paper carries out a test verification on time delay of two technology schemes, which provides a theoretical and practical reference for the construction of system protection communication network.

   
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   Key Link Identification in Electric Power Communication Network Considering Grid Correlation Degree 

   

  CUI Limin1,2, GENG Zihui3, SHU Qin3, WANG Xin2

  Electric Power Construction. 2017, 38(5): 124. https://doi.org/DOI： 10.3969/j.issn.1000－7229.2017.05.017

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   As the grid support network, the reliable operation of electric power communication network has important significance for the safe and reliable operation of the power. In order to identify the key links of electric power communication network, this paper proposes an identification method for the key links of the power communication network considering grid correlation degree. Firstly, we construct the power-communications composite system. Secondly, we establish the electric power system layer nodes and link evaluation system respectively, as well as the communication system layer nodes and link evaluation system. Then, we adopt the TOPSIS algorithm to obtain the node importance and link importance of electric power system layer, and that of communication system layer. Finally, through specific algebraic operation, we combine the grid correlation degree and the importance of the communication network to calculate the node and link importance of the power communication network considering the grid correlation degree, and then identify the key links of the power communication network based on the importance value. The simulation results of an actual electric power communication network in a province shows that this method can identify the key link effectively and is feasible.