L. Dexin, Wang Jiarui, Zhuang Guanqun, Cai Chaohao, Jin Longfei
{"title":"Research on the Method of Using APF to Improve the Power Quality of Microgrid Based on the Control of Energy Storage","authors":"L. Dexin, Wang Jiarui, Zhuang Guanqun, Cai Chaohao, Jin Longfei","doi":"10.1109/ICPEE51316.2020.9311092","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311092","url":null,"abstract":"Based on hybrid energy storage control, use the parallel active filter APF to improve microgrid power quality, the parallel active filter control methods based on proportional resonance, through the energy storage system with active filter to improve power quality indexes, such as, voltage harmonic and current harmonic. The simulation results show that the method is correct when the load of microgrid is nonlinear. The simulation results prove that the control method is correct.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115365975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chunjie Lian, Hua Wei, Shengchao Qin, Zongsheng Li
{"title":"Trend-guided Small Hydropower System Power Prediction Based on Extreme Learning Machine","authors":"Chunjie Lian, Hua Wei, Shengchao Qin, Zongsheng Li","doi":"10.1109/ICPEE51316.2020.9311091","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311091","url":null,"abstract":"A trend-guided extreme learning machine prediction model (TG-ELM) is proposed, which enriches the physical mechanism of the input and output of the traditional extreme learning machine (ELM), and solves the problems that a large amount of raw data in the traditional hydropower prediction model depends on a single data normalization process, which causes the prediction accuracy of the entire prediction model to decrease. The model first smoothed and repaired abnormal output data of the small hydropower group, and then extracted the trend of power change from the processed power curve, and used this trend as a new feature input for the extreme learning machine model to provide a correct and unique prediction trend for the prediction of the extreme learning machine. The model is applied to the power generation forecast of small hydropower groups in Guangxi, which greatly improves the accuracy of the power generation forecast and shortens the calculation time of the forecast. Based on the historical data of the power generation of the small hydropower group in Guangxi in August 2019 for simulation analysis, the root mean square error and average absolute error of the prediction are 4.16 WM and 6.11%, respectively. Compared with prediction methods such as backpropagation neural network and support vector machine, the proposed prediction model has distinct advantages and is more suitable for industrial applications.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115013558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chun Li, Yuyong Zhao, Fangzhou Wu, K. Jia, Cong Chen
{"title":"A Single-Ended Protection for Multi-terminal Flexible DC Distribution System","authors":"Chun Li, Yuyong Zhao, Fangzhou Wu, K. Jia, Cong Chen","doi":"10.1109/ICPEE51316.2020.9311089","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311089","url":null,"abstract":"Because the power electronic components in the multi-terminal flexible DC power distribution system have poor ability to withstand fault current and different voltage levels affect each other, it is required the protection accurately remove the fault area within a few milliseconds after severe DC faults occur, so it is of great significance to study the rapid protection of multi-terminal flexible DC distribution systems. The existing protection method based on single-ended transient current measurement is greatly affected by the transition resistance, and the system branch is complicated, which makes it difficult to identify fault areas. Therefore, based on the fault characteristics of different fault locations under different voltage levels, the waveform changes characteristics of current and voltage are analyzed. Further, the law of energy conservation is used to analyze the voltage waveform variation range after the fault, and the voltage and current waveform changes are combined to form a comprehensive criterion for protection, and finally the fault area is quickly removed by the DC circuit breaker. The simulation results of PSCAD/EMTDC proves the proposed method can quickly and effectively identify the fault area.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115584435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yang Zijian, Zhuang Guiying, Liu Xiaomei, Sun Peng
{"title":"Research on Man-Machine Interaction Architecture of Next Generation Dispatching System in Power Grid","authors":"Yang Zijian, Zhuang Guiying, Liu Xiaomei, Sun Peng","doi":"10.1109/ICPEE51316.2020.9311061","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311061","url":null,"abstract":"In order to enhance the support capacity of integrated control of large power grid, unified consumption of clean energy and coordinated interaction of source-grid-load, the State Grid proposed the construction of next generation of grid dispatching system. The core feature of the next generation system is “physical distribution and logical unity”, and the user oriented man-machine subsystem is an important link. This paper analyzes the function and performance requirements of the next generation of human machine subsystem, and proposes a lightweight human-computer cloud terminal interaction architecture oriented to micro-service based on the idea of separating the front and rear ends of the Internet. The software architecture of the system and the hardware network architecture supporting horizontal expansion are elaborated in depth. The design architecture can effectively reduce the requirements for terminal hardware, and can adapt to the different terminals such as tablet computer and mobile phones, and can meet the requirements of the next generation system for human-computer “location independent, simultaneous display, and authority constraint”.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115864546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research and Implementation of Dispatcher Power Flow Based on Cloud Computing Technology","authors":"Zhongliang Lyu, Chunjie Lian, Shengchao Qin, Zongsheng Li, Hua Wei","doi":"10.1109/ICPEE51316.2020.9311040","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311040","url":null,"abstract":"This paper presents a solution to construct the dispatcher power flow software based on service-oriented architecture (SOA) and cloud computing platform (CS-DPF). Take advantage of the characteristics of SOA and cloud computing technology, the proposed dispatcher power flow service not only runs more reliably but also has the advantages of the cross-platform, light application, and updating and maintaining easily, which solves the problems of the traditional dispatcher power flow software. The proposed approach has been implemented in a real power system. The operation results for more than one year indicate that the proposed approach has a broad application value.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131982247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Coordinated Frequency Control of Doubly-fed Induction Generator Based on Interconnected Grid","authors":"Jingbo Jiao, Yanliang Yu, Jianye Zou","doi":"10.1109/ICPEE51316.2020.9311081","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311081","url":null,"abstract":"To achieve double-fed induction generator (DFIG) involved in grid frequency regulation, constructed interconnected grid automatic generation control (AGC) model. Simplified the DFIG through theoretical analysis, the simplified model is able to reflect DFIG mechanical links and electromagnetic links. Proposes a coordinated control method, and under different conditions of wind power penetration of coordinated control method is validated effectiveness. The simulation results show, coordinated control method can give full play to the pitch angle adjustment effect, to frequency changes in various areas, DFIG output power, interconnected regional tie-line power conditioning effect have obvious advantages, and good usability.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115008453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wang Jiarui, L. Dexin, Z. Jiajun, Cai Chaohao, Gu Cailian, Jin Longfei
{"title":"Research on the Method of Microgrid Based on Controlling Hybrid Energy Storage System to Ensure Power Quality","authors":"Wang Jiarui, L. Dexin, Z. Jiajun, Cai Chaohao, Gu Cailian, Jin Longfei","doi":"10.1109/ICPEE51316.2020.9311095","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311095","url":null,"abstract":"It is proposed to adopt two kinds of storage battery equipment in microgrid, energy storage zinc bromine flow battery and power storage lithium titanate battery. The hybrid energy storage system adopts micro-grid DC/DC converter and DC/AC converter two-stage control. The hybrid energy storage DC/DC converter control adopts a distribution method based on power fluctuations and constant current fast charge control, and the hybrid energy storage DC/AC converter adopts PQ control and an improved droop uniform frequency control method. The algorithm automatically switches in all kinds of operation modes of the microgrid to achieve the power quality indicators, such as voltage sag, frequency deviation, voltage deviation and voltage fluctuation, during the operation of the microgrid to meet the operating requirements. The simulation results prove that the control method is correct.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117055603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptability Analysis of C-WTVC and CHTC-LT Test Cycles Based on P2 Hybrid System of Light Truck","authors":"Wang Zhiguang, Zeng Zhongyuan, Gao Tieshi","doi":"10.1109/ICPEE51316.2020.9311052","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311052","url":null,"abstract":"In 2019, GB/T 36146.2-2019 “China Automotive Test Cycle Part 2: Heavy-duty commercial vehicles” has been officially released. Around 2025, a batch of test standards for heavy commercial vehicles, including GB/T 27840 “Fuel Consumption Test for Heavy-duty commercial vehicles” and GB/T 19754 “Test Method for Energy Consumption of Heavy-duty Hybrid Electric Vehicles”, will adopt CHTC cycle instead of C-WTVC cycle. Based on the 4.5-ton commercial vehicle with the highest penetration rate in N2 new energy commercial vehicles, this paper analyzes the adaptability of P2 hybrid system to different test cycles by means of Cruise and Simulink co-simulation.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116459013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Automatic Generation Control Strategy Based on the Empirical Mode Decomposition Method","authors":"Deng Youxiong, Liang Bin","doi":"10.1109/ICPEE51316.2020.9311071","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311071","url":null,"abstract":"With the rapid growth of large user load and wind power scale in the power grid, power fluctuation is increasing year by year, which puts forward new requirements for power frequency modulation strategy. At present, the closed-loop PI control is used for automatic generation control (AGC) in the power network, and the effect of primary frequency modulation on AGC control is not considered, which affects the control effect of AGC. For this reason, a real-time control strategy for AGC based on empirical mode decomposition (EMD) is presented. The strategy is to analyze and split the regional power deviation over a while by EMD, to separate the high-frequency components that belong to the category of primary frequency modulation, and to compensate only the part that belongs to secondary frequency modulation. The simulation results show that this strategy can effectively reduce the number of AGC orders, improve the control effect of AGC, and maintain the safe and stable operation of the power grid.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128927543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Di Huang, Chenyu Zhang, Qiang Li, Huachun Han, Chen Wang
{"title":"Medium-to-Long Term City-level Electricity Consumption Forecasting Based on Cointegration-Granger Tesing and Error Correction Model","authors":"Di Huang, Chenyu Zhang, Qiang Li, Huachun Han, Chen Wang","doi":"10.1109/ICPEE51316.2020.9311074","DOIUrl":"https://doi.org/10.1109/ICPEE51316.2020.9311074","url":null,"abstract":"With its economic society gradually entering the new normal, China's industrial structure has undergone great changes. Traditionally, predicting electricity demand only by historical data of electric energy consumption will result in the great deviation. It exists the highly coupling relationship between energy consumption and economic growth, by which the accuracy of electricity forecasting will be improved. Based on co-integration theory, Granger testing and error correction model, a novel methodology for medium-to-long term electricity forecasting is presented in this paper. Firstly, a longterm equilibrium model associated with electricity consumption and GDP is established by Granger and co-integration testing. Then, the error correction model is used to adjust the short-term fluctuation of the variables of the proposed prediction model. The analysis results in case studies verify the effectiveness of the prediction model, and demonstrate the short-term adjustment technique can improve the prediction accuracy.","PeriodicalId":321188,"journal":{"name":"2020 4th International Conference on Power and Energy Engineering (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121785213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}