2021 IEEE Sustainable Power and Energy Conference (iSPEC)最新文献_第5页

Multi-area State Estimation of Distribution Networks Based on Optimal Partition 基于最优划分的配电网多区域状态估计

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735570

Rui Fu, Zhiqi Xu, Beibei Wong, Hui Qian, Ling Ju, Wei Jiang

引用次数: 1

Aggregation Modeling and Power Characteristics Analysis of Temperature Controlled Load Based on Improved State Space 基于改进状态空间的温控负载聚合建模及功率特性分析

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735612

Xun Zhong, Zhenshu Wang, Wei Xu, Jingyu Sun

引用次数: 0

Coordinated Distribution Lines Maintenance with Network Reconfiguration Considering Voltage Deviation 考虑电压偏差的电网重构配电网协调维护

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735671

Liang Ding, Jianjun Wang, Guangnan Shi, Wei-kang Ru, Pengcheng Lv, Yifei Wang

引用次数: 0

Simplified method of sequence impedance modeling of three-phase LCL inverter 三相LCL逆变器序列阻抗建模的简化方法

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735846

Jiayu Xu, Lucheng Hong, Wu Chen, Shanshan An, Runyu Tang

{"title":"Simplified method of sequence impedance modeling of three-phase LCL inverter","authors":"Jiayu Xu, Lucheng Hong, Wu Chen, Shanshan An, Runyu Tang","doi":"10.1109/iSPEC53008.2021.9735846","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735846","url":null,"abstract":"With a large number of distributed power sources connected to the grid, the distribution network is showing a trend of power electronics. As the inverter of the power conversion interface, the stability of its interaction with the grid cannot be ignored. Reasonable impedance modeling of the three-phase grid-connected inverter is the prerequisite for analyzing the stability and resonance characteristics of the grid-connected system. In this paper, firstly the harmonic linearization impedance modeling theory is briefly explained, including the establishment of the harmonic linearization model of the inverter main circuit and the phase-locked loop. Secondly, the traditional harmonic linearization impedance modeling process is analyzed, and it is pointed out that the modeling process requires many tedious phase sequence transformations and convolution operations. To solve this problem, a simplified modeling method is proposed on the basis of the traditional harmonic linearization method, which simplifies the modeling process. Using this method, the positive and negative sequence impedance model of the grid-connected inverter with capacitive current feedback control and grid voltage feedforward control strategy are established. Finally, the simulation verifies the accuracy of the impedance model.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"22 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":"121346507","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}

引用次数: 0

Tracking Status for Hardware-in-the-Loop Simulation Using RTDS 基于RTDS的硬件在环仿真跟踪状态研究

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735662

Qitao Liu, Yuqiang Hou, Jianbing Xu, Yongkang Liu

引用次数: 0

Research on MPPT Control Method of IoT Terminal Photovoltaic Power Generation System Based on Disturbance Self-Optimization and Fuzzy Algorithm 基于扰动自优化和模糊算法的物联网终端光伏发电系统最大功率控制方法研究

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735650

Yingkun Liu, Dong Liu, Fei Chen, Siyang Liu, Wangxi Xue, Haotian Dang

{"title":"Research on MPPT Control Method of IoT Terminal Photovoltaic Power Generation System Based on Disturbance Self-Optimization and Fuzzy Algorithm","authors":"Yingkun Liu, Dong Liu, Fei Chen, Siyang Liu, Wangxi Xue, Haotian Dang","doi":"10.1109/iSPEC53008.2021.9735650","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735650","url":null,"abstract":"The development of photovoltaic power generation is restricted by problems such as low photoelectric conversion efficiency. In response to this problem, this paper studies the maximum output power of the IoT terminal photovoltaic power generation system under uncontrollable external conditions. Use Matlab simulation tool to establish a photovoltaic cell simulation experiment model. In order to realize that the solar cell can always supply power to the load with the maximum output power when the external environment changes, its maximum power point needs to be tracked. Based on the analysis of the commonly used maximum power point tracking methods, this paper proposes an optimized duty cycle perturbation self-optimization method, which overcomes the shortcomings of the voltage perturbation observation method. Then the fuzzy control strategy is further designed, the fuzzy logic controller is given, the disturbance observation method simulation system based on the voltage and duty cycle disturbance and the maximum power point tracking model of the fuzzy control IoT terminal photovoltaic power generation system are established, and the comparison simulation experiment is carried out. The experimental results show the feasibility and superiority of this method.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"74 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":"116252007","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}

引用次数: 1

Research on Diagnosis of Damp State of Smart Transformer Dry Type Bushing (iSPEC2021) 智能变压器干式套管阻尼状态诊断研究(iSPEC2021)

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735707

Ziheng Hu, N. Ding, H. Yao, Zhaojie Liang, Jie Tian, Daning Zhang, H. Mu

{"title":"Research on Diagnosis of Damp State of Smart Transformer Dry Type Bushing (iSPEC2021)","authors":"Ziheng Hu, N. Ding, H. Yao, Zhaojie Liang, Jie Tian, Daning Zhang, H. Mu","doi":"10.1109/iSPEC53008.2021.9735707","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735707","url":null,"abstract":"The bushing is one of the important components of the smart transformer. The main insulation of dry-type bushing capacitor core is epoxy resin impregnated paper made of crepe paper poured by epoxy resin. The molecular chains of epoxy resin and crepe paper easily absorb water due to the presence of hydrophilic groups. In order to clarify the moisture diffusion characteristics in the two materials and its influence on the dielectric properties, this paper prepared epoxy resin impregnated paper insulation samples, carried out moisture diffusion experiments and dielectric properties test experiments under different moisture contents. The results show that the diffusion characteristics of moisture in epoxy resin impregnated paper can be explained by the Langumir model; the decrease of moisture content causes the loss peak of the dielectric spectrum curve of epoxy resin impregnated paper to shift to the low frequency direction. Furthermore, this paper extracts the characteristic parameters of its dielectric spectrum curve, and proposes a new method for evaluating the damp condition of dry-type bushing insulation.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"29 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":"121558591","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}

引用次数: 0

Research on Automatic Construction and Correlation Method of Virtual and Real Loops in UHV DC Control and Protection System 特高压直流控制保护系统虚、实回路自动构建及关联方法研究

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735751

Yuanhong Lu, Qi Guo, Zhijiang Liu, Shuyong Li, Haiping Guo, Guanming Zeng

引用次数: 0

Probabilistic Evaluation of Short-Circuit Currents Based on Latin Hypercube Sampling 基于拉丁超立方采样的短路电流概率评估

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735813

Yang Longfei, Gao Shan, Zhao Xin, Zhengguo Qian, D. Yu, Ding Jie, Xia Junrong, Wang Huichao

{"title":"Probabilistic Evaluation of Short-Circuit Currents Based on Latin Hypercube Sampling","authors":"Yang Longfei, Gao Shan, Zhao Xin, Zhengguo Qian, D. Yu, Ding Jie, Xia Junrong, Wang Huichao","doi":"10.1109/iSPEC53008.2021.9735813","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735813","url":null,"abstract":"Due to the low voltage ride-through ability of the distributed photovoltaic power generations, the traditional short-circuit current calculation method is no longer applicable. At the same time, since the randomness of new energy output, it is need for the probabilistic evaluation of short-circuit current for the distribution network. This paper proposes a method based on Latin hypercube sampling(LHS) to calculate the probability distribution of short-circuit current in the distribution network including some photovoltaic power stations. Firstly, the short circuit fault equivalent model of the distributed photovoltaic power considering low voltage ride through is established. Secondly, the calculation method of short circuit current based on superposition principle is adopted to reduce the computation cost. Then based on the probability distribution of photovoltaic power output, the Latin hypercube sampling method is used to calculate the probability distribution of short-circuit current. The results of IEEE33 distribution system show that the proposed method can comprehensively reflect the actual short-circuit current level in distribution network.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"5 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":"124307887","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}

引用次数: 0

Mid- and Long-term Forecast of Load Peak-Valley Difference based on Random Forest and Secondary Correction 基于随机森林和二次修正的负荷峰谷差中长期预测

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735656

Qiang Zuo, Zishu Zhao, Kaijie Fang, Shihai Yang, Mingming Chen

{"title":"Mid- and Long-term Forecast of Load Peak-Valley Difference based on Random Forest and Secondary Correction","authors":"Qiang Zuo, Zishu Zhao, Kaijie Fang, Shihai Yang, Mingming Chen","doi":"10.1109/iSPEC53008.2021.9735656","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735656","url":null,"abstract":"Recent years have seen the increasing flexibility in the changes of the demand-side user load, which makes it difficult to evaluate the demand-side response. Moreover, the accountability of the evaluation of the response plan depends on the accuracy of load peak-valley difference forecast. Therefore, considering the complexity of the load peak-valley difference, we establish a mid- and long-term peak-valley prediction model based on random forest and secondary correction to evaluate the response effect. First, the binary feature combination is used to identify the optimal feature set. Secondly, the random forest model is applied to the first mid-and long-term long-term prediction of the monthly and quarterly peak-valley differences. Finally, taking into account the impact of the influencing factors of different years on the seasonal peak-valley difference, we use the support vector regression machine to obtain the fitting features of the correction factors and the load peak-valley difference, which facilitates the secondary correction of the prediction. The validity of the model proposed is verified by the residential user load data of a city in Jiangsu Province.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"8 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":"126464213","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}

引用次数: 0