Min Lu, Xinrong Wu, Yi Chen, Kai Lin, Yu Zhou, Qiongbin Lin
{"title":"Modeling and simulation of hybrid pumped storage power station","authors":"Min Lu, Xinrong Wu, Yi Chen, Kai Lin, Yu Zhou, Qiongbin Lin","doi":"10.1109/ACFPE56003.2022.9952288","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952288","url":null,"abstract":"Balancing the grid using energy storage technology has turned out to be a significant breakthrough in meeting the demand for grid regulation. The pumped storage power station is one of the most widely used energy storage technologies in the world, with good economy and flexibility. In this paper, a hybrid pumped storage power station (HPSPS) is considered. The mathematical model of HPSPS is established based on the PID controller. Then, the simulation results of the HPSPS of 200MW demonstrate that the constructed model is accurate and effective.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122341851","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}
L. Meng, Lin Yi, Tang Yuchen, Wei Xin, Xu Tianrui, Wang Zekai, Ding Tao
{"title":"A Copeland-Method-based Weakness Identification for the Components in Transmission Systems Under Natural Disasters","authors":"L. Meng, Lin Yi, Tang Yuchen, Wei Xin, Xu Tianrui, Wang Zekai, Ding Tao","doi":"10.1109/ACFPE56003.2022.9952329","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952329","url":null,"abstract":"This paper proposes a Copeland-method-based importance evaluation strategy for the components in the transmission systems. We first introduce the model of resilience for the power transmission system. Then, we propose a Copeland-method-based evaluation strategy for the components in the power transmission system under natural disasters. The proposed Copeland-method-based evaluation strategy is verified in the IEEE RTS 24-bus system. Case studies show that the proposed strategy can effectively assess and rank the importance of the components under extreme natural disasters.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"35 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114111643","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":"A Data-analysis Evaluation Method for the Distribution Network Engineering Contractor","authors":"Jian Lin, Weiwei Hong, Yiwei Chen, Zhenxi Huang, Yifu Lin, Chenjing Zhou, Feixiong Chen, Zhenguo Shao","doi":"10.1109/ACFPE56003.2022.9952298","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952298","url":null,"abstract":"There are some defects in the traditional evaluation method for reward and penalty system of distribution network engineering contractors. As the number of engineering projects contracted is increasing, the possibility of making mistakes by contractors is increasing as well. In this way, the punishment for the contractor which contracts more engineering projects will be more. To solve the problem, this paper presents an evaluation method based on data-analysis. Firstly, we calculate the penalty score of projects in turn and set the target of the total penalty score. Secondly, we calculate the penalty score of projects after considering the coefficients of them, and we calculate the objective function. And then, the best coefficient of the penalty system is calculated by hyper-parameter algorithm. Finally, the best coefficients of the penalty system and the function that can be fitted by the set of the best coefficients. The results show that the proposed method is available to solve the problem and make the evaluation for the penalty system of distribution network engineering contractors objectively.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120973838","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}
Jinyuan Wu, Li Zhang, Bin Zhao, Tingting Wang, Huarong Han, Xiaojun Liao
{"title":"Design of the Comprehensive Power Grid Simulation Platform Based on Integrated Main and Distribution Network","authors":"Jinyuan Wu, Li Zhang, Bin Zhao, Tingting Wang, Huarong Han, Xiaojun Liao","doi":"10.1109/ACFPE56003.2022.9952330","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952330","url":null,"abstract":"The State Grid Corporation of China has proposed the construction of a new power system under the background of dual-carbon policy. The main and distribution network integrated dispatching supports the development of the full-voltage and flat power grid regulation business of the provincial power grid., providing a strong guarantee for the safe and efficient operation of the new power system. This paper proposes a comprehensive power grid simulation platform construction scheme based on the integrated main and distribution network, which provides accurate and effective data drive for the practical training and simulation system of main network dispatching., distribution network dispatching., substation operation and maintenance of provincial technical training center.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131615605","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}
Yuchao Shi, Zhibin Ye, Chenchen Li, Jing Wu, L. Ning, Ming Tang
{"title":"Online Monitoring of Capacitor of Submodule in M3 C Converter","authors":"Yuchao Shi, Zhibin Ye, Chenchen Li, Jing Wu, L. Ning, Ming Tang","doi":"10.1109/ACFPE56003.2022.9952230","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952230","url":null,"abstract":"Modular multilevel matrix converter (M3C) is a crucial device in fractional frequency transmission system (FFTS). Its submodule capacitor needs to bear the impact of huge bridge arm current and has the highest failure rate in the system. ESR (equivalent series resistance, ESR) value and capacitance value, as important parameters reflecting capacitor health, play a significant role in aspects such as capacitor efficiency evaluation, predictive protection and so on. Based on the M3C converter model, this paper raises an online monitoring method of ESR value on the account of changing characteristics of switch signals of M3C submodule and capacitance value using Kalman filter. Finally, through PSCAD/EMTDC simulation platform, the 59 level M3C converter model is simulated, and the simulation data shows the practicability of the online monitoring method.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128135168","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":"Outlier Detection of the Power Transformer DGA Fault Data Based on Ensemble Model","authors":"Yanan Liu, Zhang Qian, Huaqiang Li, L. Zhong, Yaohong Zhao, Yihua Qian","doi":"10.1109/ACFPE56003.2022.9952294","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952294","url":null,"abstract":"In this paper., a new outlier detection method is proposed for the validity of DGA data for online monitoring of power transformers. The method aims to evaluate the validity of the data remitted to the fault database and uses a weighted ensembling of three outlier detection algorithms with different principles in order to avoid the uncertainty of a single model to reject outliers. The experimental results show that the proposed method has better performance in handling outliers in DGA fault data.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"144 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132908067","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":"Comprehensive Assessment System and Method of Distribution Network Engineering Projects","authors":"Jiafeng Zhan, Xuhua Wu, Weiju Chen, Xiaomin Liu, Gangping Cai, Dujian Yang, Yu-Yan Xie, Feixiong Chen, Zhenguo Shao","doi":"10.1109/ACFPE56003.2022.9952336","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952336","url":null,"abstract":"The existing assessment methods of distribution network engineering projects (DNEP) lack real-time assessment of the construction site, and the calculation for the weights of indexes is easy to be impacted by human factors. Hence, a comprehensive assessment system and method of DNEP is proposed. The comprehensive assessment system of DNEP is established and two different evaluation indexes are set: macro assessment index set and micro assessment index set. Meanwhile, a combined weight hierarchical calculation model based on DEMATEL-ANP-anti-entropy weight method and improved gray correlation analysis is proposed, which can calculate the weights of macro assessment indexes and micro assessment indexes separately. The model is used to make the comprehensive assessment system subjectivity and objectivity simultaneously. Applying the proposed method to a certain construction site of DNEP, it shows that the proposed method can assess the level of construction for DNEP and identify the defects of DNEP.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"10 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133042025","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":"Inertia control and dynamic performance optimization of interlinking converter based on parameter adaptation","authors":"Chunqiao Jin, Chun-juan Jia, Jun Fu, Shicong Wang","doi":"10.1109/ACFPE56003.2022.9952343","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952343","url":null,"abstract":"Given the lack of inertia of interlinking converter and the poor transient performance of traditional virtual synchronous generator (VSG) control, a parameter adaptive control strategy for interlinking converter is proposed in this paper. This strategy can reduce the overshoot of the AC frequency and effectively improve the dynamic performance of the AC/DC hybrid microgrid. In this paper, based on the power balance of the AC/DC hybrid microgrid interface, the coupling relationship between the AC frequency and the DC voltage is derived, and the influence of the coupling coefficient on the transient and steady-state performance of the system is analyzed. On this basis, the coupling coefficient is adaptively changed, the overshoot of the AC frequency is reduced, the system's inertia is increased, and the system's dynamic performance is improved. Finally, the AC/DC hybrid microgrid model is built through Matlab/Simulink, and the correctness and effectiveness of the strategy are verified by simulation.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131551486","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}
Xiaoxuan Han, Yanlin Jin, Ge Wu, Sixin Guo, Tingjian Liu
{"title":"A self-attention-embedded deep learning model for phasor measurement unit-based post-fault transient stability prediction","authors":"Xiaoxuan Han, Yanlin Jin, Ge Wu, Sixin Guo, Tingjian Liu","doi":"10.1109/ACFPE56003.2022.9952178","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952178","url":null,"abstract":"Although deep learning-based predictors have achieved high accuracy in phasor measurement units (PMUs)-based post-fault transient stability assessment (TSA), most of these “black-box” models are not interpretable, making it difficult for operators to select proper countermeasures for instability prevention. To address this problem, a novel deep learning model embedded with self-attention layers is firstly proposed for TSA. After that, a transfer learning strategy is further proposed to develop a set of predictors aiming at the identification of unstable generators. Case study on the New England to-machine 39-bus system shows that, compared with other baseline models, the proposed self-attention-embedded model is able to achieve better performance in transient stability classification. Moreover, together with the embedded attention module, the predictors generated by transfer learning can be used to inform the operators about the cluster of the unstable generators in the disturbed power system.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"6 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526524","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}
Xinwen Zhang, Canlong Wang, F. Gao, Dunwen Song, Xukai Zhu
{"title":"Return power optimization strategy of DAB converter based on model predictive control","authors":"Xinwen Zhang, Canlong Wang, F. Gao, Dunwen Song, Xukai Zhu","doi":"10.1109/ACFPE56003.2022.9952277","DOIUrl":"https://doi.org/10.1109/ACFPE56003.2022.9952277","url":null,"abstract":"Dual active full bridge (DAB) converter produces large return power under traditional phase shift modulation, and its dynamic characteristics are poor. For purpose of solv the above problems, this paper proposes a return power optimization method combining the output voltage model prediction of DAB converter based on EPS modulation and the Lagrange multiplier method. Through in-depth analysis of the mechanism of return power generation, the mathematics model of power of DAB converter is built. The model prediction equation of output voltage of DAB converter is obtained by state space averaging method, and the return power is suppressed by Lagrange multiplier method. Finally, the circuit model is built to verify the analysis conclusion, and these results are compared with those of the traditional SPS modulation and EPS modulation. The results demonstrate that this method can significantly inhibit the return power of the DAB converter, and can effectively improve its output properties.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133717647","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}