Ju Sheng, Jianjun Sun, Qingyan Jia, Jiang-rong Che, Weihan Lin, Yingjie Tang
{"title":"Study on Frequency Probability Distribution Characteristics of Power System with Wind Power","authors":"Ju Sheng, Jianjun Sun, Qingyan Jia, Jiang-rong Che, Weihan Lin, Yingjie Tang","doi":"10.1109/iSPEC53008.2021.9735513","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735513","url":null,"abstract":"The large amount of new energy makes the frequency fluctuation characteristics of the power system more complex. The traditional analysis method takes a long time, which makes the optimization analysis of power system frequency control not flexible enough. To solve these problems, this paper establishes the primary frequency regulation model of the wind power system, obtains the FPK equation about the frequency probability distribution density function of the system, and uses a double grid numerical algorithm. By relaxing in the fine grid region and modifying in the coarse grid region, combining the advantages of the finite element method and the finite difference method, the probability distribution function of the system frequency is obtained, which is effective. This method is compared with the traditional Monte Carlo simulation method and finite element method. Through this method, the influence of the proportion of wind power output and various frequency regulation parameters on the frequency probability distribution is analyzed. The simulation example also verifies the rationality of the analysis and the accuracy of the algorithm.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116218956","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}
Zezhong Sun, Hui Yi, Xin Li, Weidong Liu, Qing Yang
{"title":"Design and Test of Overvoltage Monitoring Device for 500kV Smart Substation","authors":"Zezhong Sun, Hui Yi, Xin Li, Weidong Liu, Qing Yang","doi":"10.1109/iSPEC53008.2021.9735641","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735641","url":null,"abstract":"With the continuous economy development, the requirements for the stability and reliability of power system are much higher. In order to improve the perception ability of equipments’ states, the construction of Smart Substation is rapidly carried out. Based on the actual needs of 500kV Smart Substation, this paper designs the overvoltage monitoring device based on series connected capacitor, and analyzes the key factors such as the measurement accuracy of voltage transformer with series connected capacitor and the influence of cable inductance on the measurement signal. Based on the actual parameter of 500kV Dinggong substation, the appropriate design parameters of monitoring devices are selected, and the measurement accuracy is verified on the worksite. The monitoring device designed in this paper has complete functions, and can realize high-amplitude and high-frequency overvoltage measurement. It has been applied in the project of 500kV Dinggong Smart Substation, which can provide support for fault analysis and insulation design, and is of great significance to ensure the safe and stable operation of power grid.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122372186","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}
Shiyi Ma, Boyu Zhou, Xin-lei Wang, T. Xu, Fan Yang, Linjun Shi, Feng Wu, Yang Li
{"title":"Hierarchical optimization of pumped hydro storage and electrochemical energy storage for new energy accommodation","authors":"Shiyi Ma, Boyu Zhou, Xin-lei Wang, T. Xu, Fan Yang, Linjun Shi, Feng Wu, Yang Li","doi":"10.1109/iSPEC53008.2021.9735974","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735974","url":null,"abstract":"Due to the output characteristics of wind power and photovoltaic power, large-scale access to wind power and photovoltaic power in the grid will lead to wind and photovoltaic power curtailment. Therefore, it is necessary to use pumped hydro storage and electrochemical energy storage to consume new energy. This study proposes a hierarchical optimization model of pumped hydro storage and electrochemical energy storage in synergistic accommodation of new energy. The upper model is the optimization of pumped storage power station, and the lower model is the optimization of electrochemical energy storage, both aiming to minimize the wind and photovoltaic power curtailment. By rationally arranging pumped hydro storage operation and configuring electrochemical energy storage capacity, the power curtailment can be reduced, thereby increasing the rate of new energy accommodation. The data of a certain power grid’s estimated wind and photovoltaic power curtailment in 2025 is selected for simulation, and the CPLEX solver is used to solve the problem. The simulation results verify the feasibility and effectiveness of the proposed model and solution method.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122783591","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}
Cheng Che, Jingjing Peng, Yanwen Wang, Q. Lu, Xianghong Liu, Yang Chen, Bangbang He
{"title":"A Low-cost Scheme for Regenerative Braking Energy Recycling and Negative Sequence Current Compensation of the electrified railway","authors":"Cheng Che, Jingjing Peng, Yanwen Wang, Q. Lu, Xianghong Liu, Yang Chen, Bangbang He","doi":"10.1109/iSPEC53008.2021.9735793","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735793","url":null,"abstract":"To ease the increasing electrical energy demand, reduce the operation cost, and improve the power quality of the electrified railway, a low-cost scheme is proposed for recycling the regenerative braking energy and compensating the negative sequence current (NSC). The hardware part of this scheme consists of two three-winding transformers, a railway power conditioner (RPC), a bidirectional DC-DC converter, an energy storage system (ESS), four sets of thyristor-switched capacitors (TSCs) and four sets of thyristor-controlled reactors (TCRs). In this paper, firstly, the structure and working principle of the proposed scheme are introduced, and the device capacity of the RPC for the reactive power compensation is analyzed. Then, the control strategy of each component is designed. Finally, the simulation results are presented to demonstrate that the proposed scheme can not only effectively utilize the regenerative braking energy, but also economically solve the power quality problem.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122872809","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":"Flow Calculation of Flexible Interconnected Distribution Network with SOP","authors":"Guobang Ban, Yutao Xu, Yu-shan Luo, Li Jian, Xiaohong Ma, Xufeng Yuan, Huajun Zheng","doi":"10.1109/iSPEC53008.2021.9736077","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736077","url":null,"abstract":"In recent years, in order to meet the higher power quality and the limitations and deficiencies of most traditional distribution network primary equipment in terms of capacity, adjustment times and continuity, power electronic equipment such as ring network power flow controller, ring network power balancer, SOP, flexible DC link and so on have appeared and been applied to the power system. By analyzing the control strategy of multi-terminal DC system, a unified solution model of DC power grid with multiple control strategies is built. Based on the analysis of unified solution model of DC power network and AC/DC power flow calculation method, and on the basis of the steady-state model of flexible interconnected distribution network including SOP, a flexible Internet power flow calculation based on alternating iteration method is proposed. Through the analysis and comparison of the algorithm and the model in the literature, the validity and correctness of the model and the algorithm are verified, which lays the foundation for the subsequent research.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122027821","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":"Calculation Method of Renewable Energy Consumption Based on Sequential Production Simulation and Its Application","authors":"Bo Peng, Zhibo Yin, Yinglei Guo, Zhigen Xu, Wensheng Li, Liang Feng","doi":"10.1109/iSPEC53008.2021.9735865","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735865","url":null,"abstract":"With the continuous growth of large scale of renewable energy power generation such as wind power and solar power, the power system is facing greater pressure of operation and peak load regulation. How to evaluate the acceptable installed capacity of renewable energy or the maximum renewable energy output that the power grid can absorb is an urgent problem to be studied. This paper presents a renewable energy consumption calculation method of regional power grid based on power system sequential production simulation. This method can take units maintenance plan formulation and complementarity of multi-type power units in the power grid into account, and evaluate the renewable energy consumption capacity of regional power grid. Based on this method, a renewable energy consumption calculation system is developed and put into practical use. Relevant examples show the practicability and effectiveness of this method and simulation system.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122081127","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}
Yu Zhou, Yi Tang, Xuecen Zhang, Zhuowen Mu, Fan Gao, Y. Yi, Yue Li
{"title":"Identification of Charging Behavior for Electric Bicycles based on Supervised Fisher Classifier","authors":"Yu Zhou, Yi Tang, Xuecen Zhang, Zhuowen Mu, Fan Gao, Y. Yi, Yue Li","doi":"10.1109/iSPEC53008.2021.9736023","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736023","url":null,"abstract":"The abnormal charging behavior of electric bicycles may give rise to serious fire accidents. In order to avoid these risks, it is important to monitor the charging process of electric bicycles. Non-intrusive load monitoring (NILM) technology is proven to be an effective tool in this field. Existing studies mainly focus on using large amounts of transient data to learn the charging characteristics of electric bicycles, while transient data is not easily accessible considering smart meters installed at residential customer’s side mainly provide steady-state data for analysis. In light of this issue, we proposed a non-intrusive identification method of charging behavior for electric bicycles based on supervised fisher classifier. Firstly, the collected electrical data is preprocessed by filling in the missing values and deleting abnormal data. Afterwards, the supervised fisher classifier is utilized to classify the data and identify the charging behavior of electric bicycles. Simulation is carried out based on realistic data in MATLAB. Results show that the proposed method can accurately identify the charging behavior of electric bicycles.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116852575","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}
Zeyuan Yu, G. Zou, Liangzheng Wu, Jigang Zhang, Zepeng Li
{"title":"Optimal Resilience Enhancement Strategy for Power Distribution System with Line Reinforcement and Emergency Generator Placement","authors":"Zeyuan Yu, G. Zou, Liangzheng Wu, Jigang Zhang, Zepeng Li","doi":"10.1109/iSPEC53008.2021.9735857","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735857","url":null,"abstract":"In recent years, an growing number of extreme weather events have led to large-scale outages. Therefore, the enhancement of power distribution system (PDS) resilience has become more and more important. This paper proposes an optimal resilience enhancement strategy for PDS with line reinforcement and emergency generator (EG) placement during an extreme weather event. Firstly, taking typhoon as an example, the failure probability of distribution lines are obtained based on the extreme weather event model. Then the Monte Carlo method (MCM) is applied to acquire the fault sets of distribution lines. After that, the optimal planning strategy of line reinforcement and EG placement based on multiple fault sets is obtained by the PDS resilience enhancement model. Finally, we verify the effectiveness of the method with a modified IEEE 33-bus distribution test system. This results can provide a reference for utilities to develop a resilience enhancement strategy under a given budget.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129790757","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":"Concept and Method of the Observability and the Controllability Measure of Subsynchronous Oscillation Modes","authors":"Zi-hao Liu, Xitian Wang, Shiyu Liu, Da Xie","doi":"10.1109/iSPEC53008.2021.9735712","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735712","url":null,"abstract":"The rapid development of large-scale centralized utilization of wind power is bringing the problem of subsynchronous oscillation (SSO) much new concerns. It is of great significance to analyze its monitoring and suppression. The concept of the observability and the controllability in the field of control system can be used to analyze the monitoring and suppression of SSO. Therefore, in this paper, the definitions of the observability measure and the controllability measure are proposed from the angle of oscillation mode. The time domain expression of the measure is deduced and compared with participation factor and the residue method. Furthermore, in order to compare different dimensional signals and their response to different oscillation modes and control effects, the concepts of comprehensive observability measure and comprehensive controllability measure are proposed. Based on these concepts, a subsynchronous damping controller for doubly fed wind power generation system is designed. Finally, the effectiveness of the method is verified by case study.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128514879","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}
Lingming Kong, Ziwei Zhang, Guocheng Lin, W. Mo, L. Luan, Ziming Chen
{"title":"Correlation analysis of transformer condition evaluation indexes based on association rules","authors":"Lingming Kong, Ziwei Zhang, Guocheng Lin, W. Mo, L. Luan, Ziming Chen","doi":"10.1109/iSPEC53008.2021.9735701","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735701","url":null,"abstract":"Health state assessment of transformer can help power utility to improve the management level and efficiency. As it is difficult to achieve accurate state evaluation of transformer by using a single indicator, current research focuses on how to build a comprehensive condition evaluation model based on multiple attributes. However, the correlation between multiple attributes does not attract enough attention. Based on the association rules, this paper analyzes the correlation between different indexes for condition monitoring of transformer. The health state of transformer is separately rated based on each single index according to the preset intervals. Afterwards, Apriori algorithm is used to find out the frequent item sets with respect to different indexes and ratings, and the correlation of indexes is judged according to the consistency of evaluation results. The correlation between 7 indexes is investigated by using the real monitoring data of 30 transformers.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128558669","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}