Table of Content

25 March 2021, Volume 43 Issue 3

Previous Issue    Next Issue

edge computing Intelligent Heat Supply Energy Conservation and Environmental Protection New Energy

edge computing

Application and development of edge computing in demand response

LI Bin, HAO Yihao, QI Bing, CHEN Songsong, FENG Jian

2021, 43(3):  1-8.  doi:10.3969/j.issn.1674-1951.2021.03.001

Asbtract ( 252 )   HTML ( 12)   PDF (1068KB) ( 274 )  

Figures and Tables | References | Related Articles | Metrics

With the informatization of demand response in power industry, large-scale intelligent terminals will be connected to the grid. It will exert great pressure on the core nodes of the power communication network and make high requirements on cloud. Traditional centralized cloud cannot provide support for mass terminals or ensure their service quality.A new computing mode, edge computing, which is characterized by decentralization, marginalization, real-time performance and security, can complete a considerable part of computing, management and business support tasks by using local resources and facilities. Analyzing the relationship between edge computing and cloud computing, the architectures of edge computing at home and abroad,and the characteristics of edge cloud are summarized. Under current status of demand response, the applications of edge computing in demand response are expounded, and a double-layer cloud computing system is built. The prospect for edge cloud deployment is made according to the research on its problems.

Research on adjustable load interaction technology based on 5G edge computing

CHEN Zhaoyan, CHAI Yi, PING Chang, FU Bingbin, CHENG Ziyun

2021, 43(3):  9-13.  doi:10.3969/j.issn.1674-1951.2021.03.002

Asbtract ( 272 )   HTML ( 1)   PDF (1154KB) ( 296 )  

Figures and Tables | References | Related Articles | Metrics

Integrating cloud computing and edge computing systems in adjustable load interaction technology can realize safe, reliable and efficient adjustable load interaction services in a distributed architecture. In the era of 5G,increasing demand response（DR）terminals have been accessed to adjustable loads. Based on edge computing and 5G resources, the concept of adopting different sliced 5G transmission methods upon different adjustable load interaction services is proposed. Based on the architecture of adjustable load interaction system which consists of a user layer, a network layer and a service layer, a dynamic loading model of the adjustable load interactive policy library is built. In the end, suggestions for physical integration of adjustable load interaction information are put forward.

Application of edge computing in power equipment management and maintenance

JIA Bincheng

2021, 43(3):  14-19.  doi:10.3969/j.issn.1674-1951.2021.03.003

Asbtract ( 267 )   HTML ( 0)   PDF (1244KB) ( 286 )  

Figures and Tables | References | Related Articles | Metrics

As an emerging data processing technology, edge computing can effectively improve the efficiency of power equipment operation and maintenance and information management in the context of rapid development of Energy Internet.By analyzing the work completed by edge computing in power equipment information management, the framework of power equipment and information management is constructed based on edge computing.By analyzing the key technology applied in the edge computing of power equipment operation and maintenance, a deployment scheme of edge network and a data processing architecture of edge nodes are proposed.Case studies are made on typical applications of edge computing in power equipment operation and maintenance.The results show that edge computing is promising in this scenario.

Security risk and defensive technology of Edge IoT agent based on SDN

HAN Jian, LIU Song, WEI Yinwu, LI Bin, QI Bing

2021, 43(3):  20-24.  doi:10.3969/j.issn.1674-1951.2021.03.004

Asbtract ( 191 )   HTML ( 2)   PDF (953KB) ( 262 )  

Figures and Tables | References | Related Articles | Metrics

：During the development from the era of internet to the era of Internet of Things（IoT）,the emerging IoT is challenged on its scalability and security.On the one hand,the storage and computing capacities of IoT devices are limited,while the external assistance provided by edge cloud and edge computing is expected to enhance the scalability of the IoT.On the other hand,constrained by current resources,IoT devices can hardly resist malicious attacks.Aiming at these challenges,the security risk of Edge IoT agent based on Software Defined Network（SDN） is studies,and the latest research results of network intrusion detection and defense based on SDN network are analyzed.

An intelligent distribution and consumption terminal capable of making edge computing based on container technology

REN Baojun, GAO Zhiyong

2021, 43(3):  25-30.  doi:10.3969/j.issn.1674-1951.2021.03.005

Asbtract ( 227 )   HTML ( 0)   PDF (1179KB) ( 296 )  

Figures and Tables | References | Related Articles | Metrics

：As the core of the low-voltage distribution Internet of things（IoT）,terminals collect massive data and upload them to main stations.It proposes higher requirements on computing and problem solving capacities of the main station.Functional software inside the terminals can interfere each other and compromise the security.Electrical appliances have to assort with distribution appliances to meet the on-site functional requirements.An intelligent distribution and consumption terminal capable of making edge computing based on container technology is proposed,taking APPs as basic service units and realizing in-situ networking with low-voltage intelligent devices,sensors and intelligent smart meters.The terminal connects to an IoT platform bases on IoT protocols. Based on edging computing,data collected on site by collector are given basic calculations.Then,the data are uploaded successively according to their priority and importance.Selective data uploading can alleviate the restriction on bandwidth and reduce the energy consumption on calculation of the service station.Moreover,the terminal is capable of real-time line fault monitoring and on-site troubleshooting,which effectively promotes the development of integrated power distribution and consumption devices.

Intelligent Heat Supply

Review and prospect of advanced heat supply and intelligent power generation technologies

LI Na, YI Zuyao, BAI Yinlei

2021, 43(3):  31-39.  doi:10.3969/j.issn.1674-1951.2021.03.006

Asbtract ( 232 )   HTML ( 2)   PDF (2127KB) ( 259 )  

Figures and Tables | References | Related Articles | Metrics

With the energy structure adjustment and power market development in China, cogeneration industry is undergoing a reform and an updating. As emerging technologies in this industry, advanced heat-supply technology and intelligent power generation can promote the energy transition in China. The principles of heat-electricity decoupling,multiple heat sources and digital twin, and their applications in cogeneration are introduced, and their technical potential in facilitating coal-fired units' performance are evaluated. Finally, it is pointed out that these two technologies can realize the optimal control on frequent boundary disturbances of thermal power units by improving units' operational flexibility. The technologies provide technical support for CHP, thermal power generation facilities, electric equipment and power grid, as well as accelerate the transformation of energy structure to a low-carbon and clean one.

Decoupling design of the load control system in a single-extraction heating unit and its dynamic response characteristics

QIN Haishan, LUAN Congchao, HOU Xiaoning, CHONG Daotong

2021, 43(3):  40-47.  doi:10.3969/j.issn.1674-1951.2021.03.007

Asbtract ( 157 )   HTML ( 1)   PDF (2534KB) ( 230 )  

Figures and Tables | References | Related Articles | Metrics

The coupling of heat load and electric load in heating units makes it difficult to adjust the load independently. The adjustment cannot meet the requirements of Automatic Generation Control（AGC）. Taking increments equation to linearized the mathematical model of the heating unit, the static relative gain between each input and output of the heating unit is calculated. Then, the variables are paired. On this basis, the control system is decoupled with the help of multivariable decoupling theory. The dynamic characteristics of thermal and electric load regulation made by the control system before and after the decoupling are analysed. The results show that the optimized control system can improve the regulation of heat and electric load, and optimize the regulation characteristics of heating units.

Development of heating retrofit using waste heat from coal-fired CHP system cold end

FANG Xu, PENG Xuefeng, ZHANG Kai, MA Jingbang, ZHAO Ruixiang, WANG Jinxing

2021, 43(3):  48-56.  doi:10.3969/j.issn.1674-1951.2021.03.008

Asbtract ( 307 )   HTML ( 4)   PDF (1083KB) ( 332 )  

Figures and Tables | References | Related Articles | Metrics

The insertion of high-proportion intermittent renewable energy has increased the requirement for flexibility of coal-fired units.With the mounting demand for heating in residential areas,insufficient peak-regulating capacity and lack of heat supply can be alleviated by heating retrofits using waste heat from coal-fired CHP system cold end.Three transformation methods,high back-pressure,heat pump waste heat recovery and low-pressure cylinder "zero output" heating can be taken in this work.The high back-pressure heating transformation was evaluated based on practical cases.Then,focusing on the absorption heat pump,the heat pump waste-heat recovery heating transformation was introduced,including its operational principles and performance parameters.Taking cutting low-pressure cylinder and shaft heating reform as the example,the characteristics of low-pressure cylinder "zero output" heating transformation were listed. Finally,the applicability of the three heating transformation methods was summarized,which is expected to provide a reference for the following heating retrofits at coal-fired CHP system cold end.

Energy Conservation and Environmental Protection

Study on load forecasting for air cooling thermal power units based on intelligent algorithm

PENG Weike, NIE Chunming, CHEN Heng, XU Gang

2021, 43(3):  57-64.  doi:10.3969/j.issn.1674-1951.2021.03.009

Asbtract ( 157 )   HTML ( 1)   PDF (2713KB) ( 254 )  

Figures and Tables | References | Related Articles | Metrics

In order to detect the performance of an air-cooling power unit timely and accurately, a big data analysis method based on intelligent algorithm is introduced. Load forecasting models taking BP neural network and Random Forest algorithm are developed for a 600 MW air-cooling thermal power unit based on pretreatment and steady state screening of its historical data. Through analyzing the prediction results and the sensitivity of the models, the Random Forest prediction model is proven to be of high precision, strong generalization ability and short training period. To optimize the Random Forest model, input characteristic parameters are filtered by Pearson's correlation coefficient and the model is set up according to working conditions under different loads. The optimized model can make more accurate prediction.

Research on SCR catalyst service life on-line prediction in coal-fired power plants

HU Xiaofu, WANG Yun, HAO Zheng, SHEN Jianyong, WANG Hua

2021, 43(3):  65-69.  doi:10.3969/j.issn.1674-1951.2021.03.010

Asbtract ( 189 )   HTML ( 0)   PDF (1222KB) ( 317 )  

Figures and Tables | References | Related Articles | Metrics

As the core of SCR denitration system,the catalyst directly affects the denitration efficiency of the system.But catalyst will gradually deactivated during operation.The catalyst service life determines the operation cost of SCR denitration system.Through on-line prediction on SCR catalyst service life,a power plant can master the deactivation degree and remained service life of its catalyst in time,which is beneficial to improve the economy and stability of the system. Based on the catalyst activity model and catalyst deactivation model,by modifying the catalyst deactivation curve,an SCR catalyst life cycle on-line prediction method was proposed.The physical and chemical performance,and partial operation data of the SCR catalyst in a power plant were analyzed by this evaluation methods,and life cycle prediction curve of the SCR catalyst was obtained.Compared with the annual inspection results,it is verified that the on-line prediction system is of high accuracy and can be widely applied in power plants.

New Energy

Development of biomass power generation technology at home and abroad

ZHANG Dongwang, FAN Haodong, ZHAO Bing, WANG Jialin, GONG Taiyi, ZHANG Man, LI Shiyuan, YANG Hairui, LYU Junfu

2021, 43(3):  70-75.  doi:10.3969/j.issn.1674-1951.2021.03.011

Asbtract ( 282 )   HTML ( 8)   PDF (971KB) ( 549 )  

Figures and Tables | References | Related Articles | Metrics

Biomass energy is a renewable and clean energy,which is of great significance for energy conservation and emission reduction.Biomass power generation can not only achieve carbon neutralization,but also replace some coal power after achieving carbon peak in China,which has become an important force in peak shaving of power grid.The combustion characteristics of biomass were analyzed,and the applications of pure biomass combustion for power generation,co-firing of biomass and coal for power generation,and biomass gasification coupled with coal in China and abroad were introduced respectively.It is pointed out that the capacity,efficiency and availability of pure biomass combustion units are insufficient,and the ash deposition and chlorine corrosion are prone to occur.The biomass and coal co-combustion technology can make use of the existing large-capacity power generating units with a little additional investment,and bring in high flexibility and improvement on biomass utilization efficiency.It is an economical and feasible power generation scheme at this stage,since it can avoid a series of problems caused by pure combustion.But the construction and operation of biomass and coal co-firing power generation projects will be difficult without policy support on electricity price.

Application of building-type distributed energy systems for data centers

CHEN Hui, LIU Ying, ZHAO Longsheng

2021, 43(3):  76-81.  doi:10.3969/j.issn.1674-1951.2021.03.012

Asbtract ( 152 )   HTML ( 2)   PDF (1269KB) ( 269 )  

Figures and Tables | References | Related Articles | Metrics

The demand for electricity and cooling load in data centers is large and steady.The cooling-to-power ratio of data centers is close to that of gas-fired distributed energy systems, which means distributed energy systems are suitable for data centers.Through the analysis on the power demand of a data center,a scheme of a distributed energy station with an appropriate scale which can ensure the safe power supply to the data center is designed.The scheme takes internal combustion engine, gas and hot water type LiBr-H₂O refrigerator, centrifugal electric refrigerator and cold storage tank,which can realize the green and low-carbon operation of the data center.The gas-fired distributed power supply scheme is made based on a low-carbon energy-supply model. The evaluation results show that this scheme makes full use of the off-peak electricity, reduces operating costs and improves the economy.The power station is economically feasible, with low energy consumption, decent energy saving and emission reduction effect.This scheme is practicable for the data centers wherever there are reasonable carbon trading prices and stable,reliable and cheap gas sources nearby.