2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)最新文献_第9页

Bi-level Optimal Scheduling Strategy for Electric Vehicles with Small-Signal Stability Constraints 具有小信号稳定性约束的电动汽车双层最优调度策略

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116773

Yi Su, Hui Liu, Ni Wang, Zhiqiang Luo, Y. Su, Haimin Xie

引用次数: 0

Remaining Useful Life Prediction of Lithium Batteries Based on CNN-GRU Model 基于CNN-GRU模型的锂电池剩余使用寿命预测

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117233

Linxing Xie, Anan Zhang, Wei Yang, Liang Zhang, Qian Li

{"title":"Remaining Useful Life Prediction of Lithium Batteries Based on CNN-GRU Model","authors":"Linxing Xie, Anan Zhang, Wei Yang, Liang Zhang, Qian Li","doi":"10.1109/EI256261.2022.10117233","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117233","url":null,"abstract":"Aiming at the difficulty in obtaining direct performance parameters such as capacity and internal resistance of lithium batteries, which leads to the low accuracy of predicting the remaining useful life (RUL) of lithium batteries, a prediction model based on Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) is proposed. Firstly, four indirect health factors including constant current charging time interval, constant voltage charging time interval, discharge temperature peak time and cycle times are extracted from lithium battery charging and discharging experiments, and the Pearson and Spearman correlation coefficients are established. Secondly, build a lithium battery RUL prediction model based on CNN-GRU combined neural network. Finally, the rationality of extracting health factors is verified by actual data, and the prediction results are compared with SVR model, long short-term memory (LSTM) model, GRU model, and CNN-LSTM model. The mean square of the proposed model is analyzed. Thus, the superiority and effectiveness of the proposed model are verified.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127650380","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

A Capacity Pricing Methodology for Pumped Storage Considering the Apportion of Electricity Benefits 考虑电力收益分配的抽水蓄能容量定价方法

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117303

Yu Lu, Yuan-mei Zhang, Xuhui Xiao, Jing Wang, Yi Lei, Haibo Li, Xuanqi Gao

{"title":"A Capacity Pricing Methodology for Pumped Storage Considering the Apportion of Electricity Benefits","authors":"Yu Lu, Yuan-mei Zhang, Xuhui Xiao, Jing Wang, Yi Lei, Haibo Li, Xuanqi Gao","doi":"10.1109/EI256261.2022.10117303","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117303","url":null,"abstract":"Pumped storage has the characteristics of flexible regulation and high grid friendliness, so it is an important and necessary part of new power system to accept high proportion of renewable energy. With the adoption of the new power price mechanism policy of pumped storage in China, it will become the mainstream that the capacity income fees will ensure the investment recovery of pumping storage and this part will be included in transmission and distribution electricity price of local province, while the electricity benefits fees of electricity quantity will cover the loss of pumping and power generation and party divert the capacity price. Based on the investment-revenue model of pumped-storage power station, this paper puts forward a pricing methodology of pump storage capacity pricing considering the apportion effect of electricity benefits, and verifies it through a practical example. The results show that the electricity benefits and auxiliary service income of pumped storage power station in spot market can evidently alleviate the increase of power transmission and distribution price caused by its capacity price charge.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125313532","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

Novel Pre-diagnosis Strategies for Medium-Low Voltage Arc Flash 中低压电弧闪络的新型预诊断策略

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116971

Hua Zhang, Xueneng Su, Xiaotian Tang, C. Long, Zhenyuan Zhang

{"title":"Novel Pre-diagnosis Strategies for Medium-Low Voltage Arc Flash","authors":"Hua Zhang, Xueneng Su, Xiaotian Tang, C. Long, Zhenyuan Zhang","doi":"10.1109/EI256261.2022.10116971","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116971","url":null,"abstract":"With the development of distribution networks in modern power system, the high-power density featured electrical equipment has become more concentrating in medium-low voltage level, which may lead serious safety risks such as serious arc faults or arc flash incidents. To better protect personnel and equipment from dangers, a fast and reliable arc detecting and locating method is thus essentially to be developed. However, due to the issues such as low sensitivity, delayed detection, complex structure, susceptible to interference by other sources, the application of traditional approaches, especially in weak system source and high arcing resistance featured medium-low voltage arc flash, are severely restricted. To avoid those limitation, a spatial magnetic field analysis based hybrid preemptive detection method of arc flash is fully investigated in the work. With the categorizing analysis of geometric configuration, mathematical modeling incorporated MHD approach is developed, which can be effective fast identification of vertical structure and parallel structure of the arc due to the insulation breakage or aging. With a series actual cases based simulations, the transient dynamics of arcing current, and the relationship among arc fault location, discharge types and magnetic field is derived, which offered valuable information for medium-low arc mitigation and hazard prevention.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125369045","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

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116592

Yixian Liu, Yubin Wang, Yuanyi Chen, Qiang Yang, Haisheng Hong, Weichao Wang

{"title":"Dual Similarity-based Method for Proactive Fault Detection in Power Distribution Networks","authors":"Yixian Liu, Yubin Wang, Yuanyi Chen, Qiang Yang, Haisheng Hong, Weichao Wang","doi":"10.1109/EI256261.2022.10116592","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116592","url":null,"abstract":"The fault detection of power distribution networks is of paramount importance to ensure power supply safety and reliability as well as efficient system maintenance. However, the inadequacy of measurements and complex operational conditions bring about difficulties for conventional logic-based and model-based fault detection methods. This paper proposed a dual similarity-based method (DSM) for power distribution fault detection. It contains the operation mode similarity and temporal similarity. The former reconstructs the operation mode by matrix profile based on k-means, and Euclidean distance is used to measure the similarity of the operating modes. The latter models the temporal similarity, and the LSTM is adopted to take the advantage of high-resolution continuous measurement for fault detection. Through the dual similarity-based method, the proposed solution can effectively identify the typical anomalies in the power distribution network with high accuracy and recall performance. The proposed solution is extensively assessed through experiments for a range of tripping events in 75 distribution transformers based on realistic datasets. The numerical results confirmed that it outperforms the conventional fault detection solutions.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394853","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

Study on the Demand-Side Response Characteristics of the Flexibility Adjustment Ability of the Grid Side 电网侧柔性调节能力的需求侧响应特征研究

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117251

Z. Wang, Qi Li, Yu Li, Kai Bai, Miao Liu, Tianxiao Huang

{"title":"Study on the Demand-Side Response Characteristics of the Flexibility Adjustment Ability of the Grid Side","authors":"Z. Wang, Qi Li, Yu Li, Kai Bai, Miao Liu, Tianxiao Huang","doi":"10.1109/EI256261.2022.10117251","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117251","url":null,"abstract":"A power system is a recognized complex network system. The simulation process of power system production simulation is a complex physical system accurate solution process, and conventional analytical methods are difficult to effectively achieve simulation goals. Therefore, complex system modeling and simulation methods must be adopted to achieve objective simulation of the operation of the power system. This paper applies the production simulation technology to the scale assessment of flexibility demand, clarifies the technical principle of the production simulation simulator, optimizes the production simulation model, proposes the unit combination and economic dispatch considering safety constraints, and finally builds the production simulation model of the Beijing-Tianjin-Tangshan power grid, and finally builds the production simulation model of the Beijing-Tianjin-Tangshan power grid based on the simulation data in 2021, and conducts 8760 hours of production simulation time series simulation for the whole year of 2025. It provides theoretical guidance and technical support for the research of demand-side regulation ability.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126832851","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

Design of a Special Skill Training Apparatus That Can Imitate High Loss Transformer Power Supply District 模拟高损耗变压器供电区专用技能训练装置的设计

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116730

Yuan Zhuang, Miao Li, Xu Ning, Yan Geng, Cong Shang, Mingshuang Sun

{"title":"Design of a Special Skill Training Apparatus That Can Imitate High Loss Transformer Power Supply District","authors":"Yuan Zhuang, Miao Li, Xu Ning, Yan Geng, Cong Shang, Mingshuang Sun","doi":"10.1109/EI256261.2022.10116730","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10116730","url":null,"abstract":"This paper proposes a design for a special skill training apparatus that aims to provide a scene wherein trainees can improve their abilities in diagnosing what provokes a high loss in electricity supplies and finding solutions to it in order to train line loss management skills of workers in the electricity power industries. The apparatus’ fundamental components are control elements and metering devices such as 3-phase electric power meters, single phase electric power meters, and corresponding acquisition terminals, with many virtual power sources to behave like an electric load. They have a similar organization and topological link to genuine electric power metering sites, but more controllable. The device's operation is managed by a customized computer that has been programmed and installed with a set of software. The software's main purpose is to provide a UI interactive interface for implementing specific parameters that allow the device to imitate irregularities that cause large line losses in the transformer power supply district. A line loss rate will be calculated automatically following the settings under a given algorithm in order to maximize the imitation. After its manufacture, the device has been used in the training of workers in the power marketing sector, and the completion of all features increased their skill levels to some extent.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123298123","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

Optimal Allocation and Economic Analysis of Energy Storage Capacity of New Energy Power Stations Considering the Full Life Cycle of Energy Storage 考虑储能全生命周期的新能源电站储能容量优化配置及经济性分析

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10117016

Z. Yao, Kai Wu, Yu Zhang, Qihui Yan, Junjiao Shi, Jie Sun, Hao Hu, Bin Li, Jilei Ye

{"title":"Optimal Allocation and Economic Analysis of Energy Storage Capacity of New Energy Power Stations Considering the Full Life Cycle of Energy Storage","authors":"Z. Yao, Kai Wu, Yu Zhang, Qihui Yan, Junjiao Shi, Jie Sun, Hao Hu, Bin Li, Jilei Ye","doi":"10.1109/EI256261.2022.10117016","DOIUrl":"https://doi.org/10.1109/EI256261.2022.10117016","url":null,"abstract":"New energy power stations operated independently often have the problem of power abandonment due to the uncertainty of new energy output. The difference in time between new energy generation and load power consumption makes the abandonment of new energy power generation and the shortage of power supply in some periods. Energy storage for new energy power stations can solve these problems. Firstly, the expenditure model of independent operation of new energy power station is established. Then, the whole life cycle of energy storage is modeled, and the generation cost of new energy power stations is calculated by cost electricity price. Then, formulate the charging and discharging strategy of energy storage. With the goal of minimizing the total expenditure of the new energy power station and the constraint of meeting the charge and discharge power of regional load power supply and energy storage, the genetic algorithm is used to solve the problem when the power station is configured with different energy storage. Through simulation analysis, this paper compares the different cost of kilowatt-hour energy storage and the expenditure of the power station when the new energy power station is configured with electrochemical energy storage, pumped energy storage, and compressed air energy storage. The calculation example shows the economic efficiency of the new energy power station. At the same time, the sensitive factors affecting the cost of kilowatt-hour energy storage and the expenditure of the power station are analyzed.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126357597","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

Short Term Power Load Forecasting Based on Image Matrix 基于图像矩阵的短期电力负荷预测

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116576

Bingchu Jin, Zesheng Hu, Yawei Zhao, Chao Xue, Monong Wei, Jingyu Zhang

引用次数: 0

LOW Carbon Economy Optimal Dispatch of Renewable Energy Power System Considering Carbon Rights Trading and Power Generation Rights Trading

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) Pub Date : 2022-11-11 DOI: 10.1109/EI256261.2022.10116369

Hongmin Yao, W. Qin, Xiang Jing, Zhilong Zhu, Xiaoqing Han, Yanbing Jia

引用次数: 0