Table of Content

25 February 2020, Volume 42 Issue 2

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State assessment and early warning application for power plant equipment based on big data technology

HU Jie，TANG Jing，XIE Shiyi，WANG Yun

2020, 42(2):  1-6. 

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In order to avoid the increase of maintenance cost in power plants directly or indirectly resulting from the abnormal conditions and shutdown of equipment during operation, a state assessment and early warning application for power plant equipment based on big data technology is proposed. Multivariate state assessment is one of the feasible technologies to realize equipment Prognostic and Health Management(PHM), and its implementation relies on training and learning of massive health data. Offline training of historical status data is made to establish health state assessment model based on big data technology. Making real-time analysis on the changes of related parameter residual values of the targeted equipment and taking automatic detection by sliding window residual statistics method can realize online monitoring on abnormal status of targeted equipment. Taking the state assessment and health diagnosis of the pulverizing system in a thermal power plant as an example,the parameter contribution rate is introduced to characterize the strength and weakness of factors leading to the anomalies, which is helpful in making further analysis on equipment status and fault. The experimental results show that this method can effectively evaluate the state and make fault warning for power plant equipment.

Realization of a thin SCADA system for electricity centralized control based on cloud

CHEN Ming’en，WANG Xianhao

2020, 42(2):  7-11. 

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The evolutionary process of WLAN system from taking fat access point(AP) to taking “access controller(AC)+thin AP” is introduced.The traditional real-time power supervisory control and data acquisition (SCADA )system and nonrealtime Web SCADA system are discussed.To be applied in realtime SCADA system of main stations,a thin SCADA system based on centralized cloud control is proposed, with reference to the concept “AC+thin AP”. The system realizes the hierarchy simplifying of layered distributed power SCADA system.Combined with cloud system and big data technologies,the system can set up a safer and more stable largescale Electric Internet of Things, which can support more advanced power applications.

Explore the value of data for lifecycle management of large equipment

WANG Feng，ZHOU Tieliang

2020, 42(2):  12-16. 

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With the informatization and rapid development of network technology worldwide, the traditional management model in power industry is in the critical transition to an intelligent management model. Enterprises take advanced information technology, big data and intelligent decisionmaking methods to achieve the intelligent optimized control on production information and management information of large equipment. The continuous development of big data technology has created conditions for the fullcoverage management for equipment. Realtime collection, monitoring, and analyses on production data of large equipment by specialized data acquisition module are made to establish associations between each component in mining equipment. By setting up visualization models，an intelligent operation and maintenance system and an intelligent lifecycle prediction system for the large equipment,and integrating various equipment component and their application scenarios，an intelligent production management system is established, which solves the difficulties in operation management. This system is the key to improving the intelligent lifecycle management of large equipment. Based on the operating characteristics with current management system, using big data analysis and mining technology to analyze the relationship between data and operating status during the operation, the intelligent maintenance and health assessment on large equipment can be realized. The important value of data for the lifecycle management of equipment is also been expounded.

Application and analysis of WebGIS in big data visualization of smart grid

ZENG Qiang

2020, 42(2):  17-21. 

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With the development of power industry in the big data era, smart grid and big data technologies applied in the grid are facing enormous challenges and opportunities. An efficient and stable scheme for safe operation of smart grid is required to deal with the intricate and massive power equipment and the ever-changing information data. WebGIS is a geographic information system extension technology based on Web technology, and it is also a distributed system that realizes information exchange between servers and clients through Internet. It is of wide access range, low cost, convenient operation and high computing load. After explaining the current situation and development trend of the smart grid, the application of WebGIS in big data visualization of smart grid is studied and its feasibility in real cases is tested.The results show that this scheme is more accurate in locating the information in the smart grid, and economic in both development cost and maintenance cost, compared with the traditional grid graphics system.

Overall solution and application of fuel intelligent management and control system for 1000MW coalfired units

FENG Zuojiang，LI Hongjian，YANG Yong，REN Shuai， ZHANG Mingqing

2020, 42(2):  22-27. 

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Aiming at the low automation, backward management and difficulty in information integration existing in thermal power plant fuel management, based on the case of fuel intelligent management and control system in Hengshan Power Plant, an overall solution is put forward.Fuel intelligent management and control system takes direct control on the basic equipmentl ayers including devices for infrared scanning and automatic identification, unattended weighing, automatic sampling, automatic sample preparation, automatic sample storage and sample pneumatic conveying. Through realtime data acquisition and interaction,the system can take online realtime monitoring on fuel wholeprocess data, so as to achieve successive transfer of “sampling preparationtestmeasuring” data, and improve the degree of automation and intellectualization of fuel management. According to the performance of the scheme, the application and implementation experience of project are summarized, so as to play a demonstration effect for the construction of fuel management and control system of the power plant. The successful implementation of the overall scheme of fuel intelligence will be conducive to improving the fuel management and economic benefits of the power plant, and realizing the transformation from digital power plant to intelligent power plant.

Research and development of plantlevel technical supervision and management system under the framework of smart gas turbine power plant

SHEN Qiang，ZHU Yadi

2020, 42(2):  28-32. 

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With the deepening of technical supervision and management,the existing technical supervision and management methods cannot meet the demand for power generation enterprises.Based on a digital integrated management platform and a smart power plant framework,Hubei Huadian Wuchang Thermal Power Company Limited has developed a plantlevel technical supervision and management system which includes integrated management module,professional supervision module and contact center module.The development of each module is based on the technical supervision and management rules of the companies.To deepen professional supervision work for smart power plants,the system integrates relevant functions such as energysaving diagnosis,main and auxiliary machine malfunction warning and diagnosis,and equipment management.The system provides a systematic,standardized and intelligent solution for plantlevel technical supervision and establishes a foundation for further optimizing the production management of power generation enterprises.

Design of remote intelligent integrated management system for hoisting equipment of hydropower stations

MENG Pengfei，LIU Yuqian

2020, 42(2):  33-37. 

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To improve the monitoring and management level of the hoisting equipment in domestic hydropower stations,and keep hoisting equipment operate stably, a remote intelligent integrated management system is proposed. The system adopts an onsite information collection system to fetch and record operation parameters and video data, and industrial wireless intelligent gateway is taken to complete the communication and data exchange between the device and the remote server.Thus,users can remotely monitor and manage the equipment through a Web browser.The application results shows that this system is of highlevel security, high degree of automation, stability and reliability. The system can achieve centralized management on multiple locations, multiple platforms, and multiple terminals. By analyzing the collected data, it can detect potential safety hazards and provide early warning to meet the safety requirements of hydropower stations.After the commercialization of 5G technology, 5Genabled wireless intelligent gateway will be taken to improve the efficiency of equipment management in hydropower stations.

诊疗平台；在线监管；全过程；技术监管；实时数据；远程诊断；燃料监管；智能电厂；互联网+

CUI Xiuqiang

2020, 42(2):  37-41. 

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In order to realize online monitoring and diagnosis on each step of fuel acceptance check, a wholeprocess online monitoring and diagnosis platform was developed.The platform accesses the wholeprocess realtime data from fuel acceptance checks in thermal power enterprises.Based on coal acceptance measurement, sampling, sample preparation, test, and other key steps, a specialized diagnosis model is developed, hich realizes online supervision, remote diagnosis and threelevel diagnosis for the key steps of fuel acceptance. The fuel wholeprocess online monitoring and diagnosis platform refines the traditional fuel monitoring mode, and turns results monitoring to wholeprocess monitoring,and improves manual inspection to online diagnosis and treatment on equipment operation status and performance. The deployment of the platform completes the fuel supervision system, streamlines the technical supervision process for fuel, and improves the overall fuel management level.

Design and implementation of GOOSE management technology on smart substation switches

ZHANG Xianjun,ZHAO Qian, LIANG Zhibao, YAN Pingzhong, YANG Rui

2020, 42(2):  42-49. 

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Without additional cost on new smart substation switches and interference in data service communication, a management technology GMT (GOOSE Management Technology) is proposed for solving generic object oriented substation events(GOOSE) of smart intelligent substation switches，which can realize the centralized (batch) configuration of switches, reduce the number of IP addresses, save the effort in deployment, operation and inspection, collect diagnostic information with one click, replace switch without reconfiguration, upgrade software in batch, and improve management automation for communication equipment. After the introduction of the GMT overall design on a switch, the data channels， the generation of configuration files, and the system architecture of the switch software are analyzed. The system can support the security command line, HTTPS, SNMPv3， IEC 61850 and other syntax formats. The communication protocol of smart substation switch clustering management should be stable, reliable, simple, efficient, and easily extensible. The state machine transition of the main switch and the member switches is introduced. The application of GOOSE management technology on switches is versified on star topology in the laboratory. Comprehensive and quick fault positioning and clearance is supported by efficient management and maintenance on communication equipment with GMT technology. GMT can greatly reduce the workload of related operators and improve the efficiency of communication equipment management.

Reliability design and test for relay protection devices applied in smart grid

YUE Feng，SHI Zhiwei，DONG Jincai，MOU Jinli

2020, 42(2):  50-57. 

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As the first defense line for power grid, the longterm reliable operation of relay protection device is very important for power grid. With the rapid development of smart grid and distributed energy system in recent years, the integration and complexity of the device is increasing as its comprehensive performance is more demanding. In addition, the requirement on primary and secondary equipment fusion and local installation of relay protection device leads to a harsher operation environment for the relay protection device and a higher demand on its reliability. The reliability designs for sampling systems, trip control systems, input and output circuits are introduced from the perspective of hardware reliability, and the design of electromagnetic compatibility(EMC), thermal design and online fault detection design are presented as well.The verification methods of the reliability design are proposed as the final step for a closedloop development process including requirements, design and verification,which offers a reference for improving the reliability of relay protection devices.

Optimal configuration of hydrosolar complementary distributed power systems in cities

2020, 42(2):  58-62. 

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With the continuous consumption of fossil fuels,our environmental protection awareness,science and technology is developing, and renewable energy has received more attention. Distributed renewable energy system have become a key object in integrated energy utilization. Based on Roy Billinton test system (RBTS) model, a hydrosolar complementary distributed power system was designed to meet the electricity demand of a city along the Yangtze River. PowerFactory software was taken to make optimized analysis on power grid configuration.Considering the practical cases,the cost minimization method is used to study the marginal cost varied with load and the maximum profit point of the power system,which can provide a reference for the government to set electricity price.And with the goal of line safety, possible faults were tested and analyzed to ensure the safety of the operation of the overall power grid.

Study on wind turbine blade protection against lightening applied in comprehensive energy

LI Xinkai，LIU Wei，ZHANG Tingjun，WANG Peiming，ZHAO Jian，SUN Manjie

2020, 42(2):  63-67. 

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Lightning stroke is an important reason for wind turbine blade damage, and the safety and reliability of wind turbine equipment is more prominent in comprehensive energy utilization. To improve the protection against lightning for wind turbines, an antilightning scheme that covers wind turbine blades with external conductors is designed.The effect of the scheme has been verified theoretically and experimentally. Taking the DU93-W-210 airfoil which is specialized for wind turbines as an research objective, using computational fluid dynamics (CFD) method, the influence of the external conductor diameter on the aerodynamic performance of this airfoil is studied. It is found that with the increase of the conductor diameter, the lift coefficient of the airfoil decreases linearly, and the drag coefficient of the airfoil increases linearly，and the liftdrag ratio decreases. At a 0° attack angle, the lift coefficient of the airfoil with conductor drops the most. When the diameter of conductor is 10mm, the lift coefficient decreases by 10% at the most .At a 4 °-16 ° attack angle, lift coefficient reduces slight,which is roughly 3% on average. The research conclusion can be used to guide the design of new lightning arresting system for wind turbine blades and improve the safety and reliability of wind turbine units.

Experimental study on relationship between the dielectric loss of main transformer highvoltage bushing and ambient temperature in a 1000MW nuclear power unit

JIA Hui，CAO Hao，LIU Xizhi，LI Weichao，CHEN Wei，GAO Jianqiang

2020, 42(2):  68-71. 

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Dielectric loss of transformer bushing is obviously affected by ambient temperature. The great annual temperature change in the northern China will lead to a large variety of transformer bushing dielectric loss，which is not conducive to the safe operation of transformer bushings in nuclear power plants. Hence， a closed testing system was constructed on a highvoltage bushing of a main transformer in a Shenyang nuclear power plant. By adjusting the ambient temperature in the system through refrigeration equipment and heating equipment,the influence of ambient temperature on the capacitance and dielectric loss of the bushing was studied. The results show that the bushing capacitance increases linearly with the temperature rise when the ambient temperature is between -20 and 50℃，and the bushing dielectric loss decreases significantly with the rise of ambient temperature，but keeps steady when the ambient temperature is higher than 30℃.When the ambient temperature is lower than -18℃， the dielectric loss will exceeded the allowable standard by 0.7%. Therefore，a more prudent protection should be taken on transformer bushings in winter.

Coating transfer process optimization based on GA

SUN Shugang,ZHU Yu,QIAN Bing,LI Xiaowu, NI Hongjun

2020, 42(2):  72-75. 

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In order to optimize the transfer process and formulation of coating, and improve the comprehensive performance of the transferred coating, an optimized scheme was carried out based an a verified BP neural network model.The evaluation index was the minimum weighted sum of the coating hardness, wear extent and shear strength calculated by genetic algorithm(GA), and the iterative optimization was made on the formulation, vacuum fusion temperature and heat preservation time of the coating. When the weight of the hardness, the wear extent and the shear strength were-0.3, 0.4 and -0.3, the maximum iterative time was 100, and the population was 60, the crossover and mutation probabilities would be 0.40 and 0.01, respectively. The optimization scheme includes keeping WC content at 26.8%，keeping the vacuum fusion temperature at 1071℃ and keeping heat preservation time in 59.7min.After the optimization,the hardness of the composite coating is 63.6HRC, and the wear extent is 101mg only,and the shear strength is 157.2MPa.It shows that GA is scientific and effective in optimizing coating formulation and transfer process, and the comprehensive performance of the composite coating can be improved prominently.

Analysis and experimental study on factors affecting power generation by river current

2020, 42(2):  76-80. 

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Based on the analysis of the conversion efficiency of hydraulic energy into impeller mechanical energy during the flowing of rivers, prototypes of a 1kW, a 5kW, a 10kW and a 50kW hydraulic turbine generator unit were designed and tested in different channels. The energy utilization coefficient(Cpt) of the four generator units were 0.390, 0.406, 0.373 and 0.409 respectively. This scheme verified the feasibility of power generation by river current directly and taking hydraulic power transmission to replace the doublegear transmission.The influence of impeller diameter, impeller series and flaring inflowconcentration device on the output power of the hydraulic turbine generator unit was studied,which provided a theoretical basis for the river current energy utilization.