{"title":"Research on Verification Test of Tension Stringing for UHV Transmission Line Project","authors":"Chen Liu, J. Qin, Y. Hao, Gang Li, Yubo Chen","doi":"10.1109/iSPEC50848.2020.9351097","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351097","url":null,"abstract":"A verification test of tension stringing was carried out in an UHV transmission line project. In the test, wireless tension sensor, total station and other measuring equipment were used to measure the force value of the tractor and tensioner, the load of the pulley and the sag of the observation span during the stringing construction process. The results were compared with the results obtained by the calculation method of tension stringing construction. The calculation results of the force value of the tractor, load of the pulley and the sag of the observation span obtained by calculation method of tension stringing construction are consistent with the actual measurement results, and the data accuracy meets the engineering requirements, which verifies the accuracy of the calculation method. The calculation method of tension stringing construction can provide effective technical support for construction calculation of tension stringing.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123329741","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 Accurate Fault-Location Method for Distribution Network with Distributed Generators Based on Multi-Terminal Traveling Wave","authors":"Jian Qiao, Xianggen Yin, Xiangyu Liu, Yikai Wang, Wen Xu","doi":"10.1109/iSPEC50848.2020.9350993","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9350993","url":null,"abstract":"Since more and more distributed generators (DGs) are connected into the low voltage distribution network, the existing fault-location methods are difficult to achieve accurate fault location due to its decentralized power supply characteristics. Aiming at this problem and the shortcomings of the existing traveling-wave fault-location methods, this paper proposes an accurate fault-location method for distribution networks with DGs based on multi-terminal traveling wave. Firstly, this paper analyzes the impact of DGs on the first arrival times of the fault-generated traveling waves. Secondly, a set of fault distance data independent of traveling-wave velocity are calculated by using the traveling-wave time information of all detectors, and the faulted branch is identified based on the discrete degree of this set of data. Finally, the quartile method is used to reject the bad data, and the accurate fault distance of the fault point is obtained. Simulation results show that the proposed method can accurately locate the fault point, hardly impacted by traveling-wave velocity, and has good robustness to arrival time errors.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"30 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123555659","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}
Yingqi Yi, Lai Zhou, Qinhao Li, Kun Li, Siliang Liu, Yongjun Zhang
{"title":"Improving correlation-based consumer phase identification for incomplete data","authors":"Yingqi Yi, Lai Zhou, Qinhao Li, Kun Li, Siliang Liu, Yongjun Zhang","doi":"10.1109/iSPEC50848.2020.9351083","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351083","url":null,"abstract":"With the roll-out of smart meters, data-driven methods based on smart meter data have become an important technical direction for consumer phase identification in low-voltage distribution network (LVDN). However, as a result of poor communication quality, human error, electricity theft and other reasons, the obtained power consumption data of consumers is incomplete and cannot fully reflect the power consumption of LVDN, which affects the recognition performance of the existing consumer phase identification methods. Under this background, this paper proposes a consumer phase identification algorithm based on the correlation characteristics to improve the accuracy of consumer phase identification with incomplete data. Firstly, the correlation characteristics among consumers and that between consumers and three-phase buses on the low voltage side of distribution transformer are deduced. Then, a preliminary phase identification method is proposed according to the correlation characteristics between consumers and three-phase buses on the low voltage side of distribution transformer. Finally, the correlation characteristics among consumers are used to correct the preliminary identification results. The proposed algorithm is applied on a real-world LVDN in Guangdong, China. The comparison analysis between the proposed method and other published methods are also investigated. The results indicate that the proposed method effectively increases the consumer phase identification accuracy compared with the published methods when the obtained power consumption data of consumers is incomplete.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927010","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 Wei, Zhao Jiayue, Y. Xiaoling, Xing Haiqing, G. Chuangxin
{"title":"Resilience Assessment Using Simulation System of Distribution Network under Extreme Weather","authors":"Wang Wei, Zhao Jiayue, Y. Xiaoling, Xing Haiqing, G. Chuangxin","doi":"10.1109/iSPEC50848.2020.9351184","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351184","url":null,"abstract":"Due to increasing frequency of natural disasters in recent years, resilience assessment become critical to the safe operation of the power system. In this paper, we present a probabilistic assessment of power distribution system resilience under different types of weather such as typhoon, thunder and ice damage. It is based on Monte Carlo simulation. The main contribution of us is that we establish a compound dynamic failure rate model to describe different disaster characteristics and establish connections between different failure scenarios. This model is implemented to simulate in real time the performance changes of the distribution network under the extreme weather. Based on it, we propose a composite index for evaluating the resilience of the distribution network.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123633444","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":"Low-Complexity Model Predictive Rotor Current Control of DFIG under Unbalanced Grid Condition","authors":"Hann-Chung Wu, Hailiang Xu, Yufeng Zhang","doi":"10.1109/iSPEC50848.2020.9351244","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351244","url":null,"abstract":"During unbalanced grid condition, the electromagnetic torque of the doubly fed induction generator (DFIG)-based wind turbine will contain oscillation at twice of the grid frequency, which is harmful to the gearbox and shafting system of the turbine. Though various control strategies have been proposed to suppress the electromagnetic torque ripple, it is still a difficult issue to achieve satisfactory dynamic response and low complexity, simultaneously. To settle this problem, this paper puts forward a low-complexity model predictive direct rotor current control (LC-MPDRCC) strategy, with the control delay being compensated and the effect of the parameters changes being discussed in detail. Simulation studies verify the effectiveness and feasibility of the proposed method.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123948217","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}
Ren Qiao-lin, C. Yong, Xiao Sa, Li Kaichao, Xie Zheng-Han, Li Zhi-Jun, Zhou Han, Ren Bei-Ting
{"title":"Common evaluation and classification method of electric insulating oil and battery research on its application","authors":"Ren Qiao-lin, C. Yong, Xiao Sa, Li Kaichao, Xie Zheng-Han, Li Zhi-Jun, Zhou Han, Ren Bei-Ting","doi":"10.1109/iSPEC50848.2020.9351233","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351233","url":null,"abstract":"This paper establishes a common evaluation method for the main problems of degraded transformer oil and lead-acid batteries in my country. Through the development of a common evaluation classification collection system, real-time monitoring of the location of the oil drum and the position of the oil liquid, the centralized management of transformer oil and lead-acid batteries was realized, and the cost of hazardous waste qualification was shared. It has been proved through practice that this method can evaluate the classification method to make the regeneration more accurate, the active radicals and aging molecules in the oil are removed more thoroughly, and the battery's precise repair reaches more than 85%.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126272296","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":"Operation Situation Analysis and Improvement Measure Study for Reactive Voltage Control System in Wind Farm","authors":"Jingbo Liu, P. Song, Jinping Zhang, Yuhui Wu, Yu Liu, Xuekun Cheng","doi":"10.1109/iSPEC50848.2020.9351277","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351277","url":null,"abstract":"The control strategy of reactive power and voltage, communication between systems and the performance of the single device will affect the performance of the reactive and voltage control of the field station. On the basis of one million kilowatts of wind power base in the past three years the actual operation data and field test data, firstly analyzes the status of the wind farm without the system voltage and reactive power control system, introduces the current voltage and reactive power control system architecture and common control strategy; secondly from the station of reactive power and voltage control of the process, clarify the key factor effect of terminal voltage and reactive power control performance; the final form of the promotion of wind farm reactive voltage control performance and operation level of the measures, which is verified.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129975904","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":"Analysis on DC Voltage Balance Control Between Three Phases for STATCOM","authors":"C. Xing, X. Xi, Xin He, Shengnan Li, Mingqun Liu, Zhi Xu","doi":"10.1109/iSPEC50848.2020.9350925","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9350925","url":null,"abstract":"Maintaining the DC voltage balance between three phases is one of the keys to cascaded STATCOM. Due to the difference in parallel loss, switching loss, modulation ratio and pulse delay of the H-bridge unit, there is a problem of DC voltage imbalance between the three phases of cascaded STATCOM. To solve this problem, a simple zero-sequence voltage calculation method is proposed by deriving the output power relationship of cascaded STATCOM based on the existing zero-sequence voltage injection method. Meanwhile, considering the asymmetry of the power grid, the negative sequence component in the voltage will cause DC voltage unbalanced fluctuation of the phases, a power feedforward control method is proposed. The method calculates the unbalanced power generated by the negative sequence voltage in real time and feeds it forward, effectively suppressing the unbalanced power between the three phases during asymmetry. Simulation and experimental results verify the effectiveness of the proposed control method.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129658489","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":"Power System Inertia Estimation Method Based on Energy Conservation","authors":"Baocai Wang, Huadong Sun, Wenfeng Li, Chao Yang, Wei Wei, Jie Wu","doi":"10.1109/iSPEC50848.2020.9351187","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351187","url":null,"abstract":"Aiming at the inertia estimation method based on unbalanced power and rate of change of frequency (ROCOF) at the initial moment of the disturbance, the inaccurate measurement of ROCOF brings large error to the system inertia estimation. In this paper, the form and index of system inertia are firstly sorted out, and an inertia index that can accurately express frequency change characteristics under disturbance is proposed. In terms of inertia estimation, the estimation process is extended to frequency nadir. By analyzing the power response and energy conversion mechanism during disturbance process, a system inertia estimation method based on energy conservation is proposed. The relationship between primary frequency regulation power of generator and ROCOF are used to linearize the primary frequency regulation power. Finally, the effectiveness of the proposed method is verified by modified WSCC 9 Bus Test Case. At the same time, the proposed method is also applicable to the frequency of non-center of inertia (COI), making the model more applicable.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128478314","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":"Cluster Recognition and Early Warning Modeling for Rotating Stall of Gas Turbine (iSPEC 2020)","authors":"Bochao Xu","doi":"10.1109/iSPEC50848.2020.9351296","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351296","url":null,"abstract":"Aiming at the problem that it's difficult to accurately evaluate the deterioration stage of rotating stall in gas turbine power plant, an early warning model construction method based on the whole stage identification of rotating stall deterioration is proposed. The fractional norm improved k-means clustering algorithm is introduced to cluster the whole process of rotating stall development, and the optimal number of clusters is determined by the contour coefficient. The Tanimoto coefficient is used to screen out the key parameters, and the current operation state of the unit is reflected by the dispersion degree of the deviation from the normal value. The correlation between the discrete values of key parameters and each stage of rotating stall is calculated, and then the early warning model is established. Based on the actual operation data of the power station, this method can accurately judge the fault stage consistent with the actual operation and maintenance test results, and provide high reference value for operators.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128556775","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}