2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)最新文献_第2页

Active Cell Balancing with DC/DC Converter for Electric Vehicle 基于DC/DC变换器的电动汽车有源电池平衡

2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) Pub Date : 2022-10-14 DOI: 10.1109/ICSGCE55997.2022.9953732

Sing Hsia Yeoh, Cheng Yao Pok, K. Lum, K. H. Yiauw

{"title":"Active Cell Balancing with DC/DC Converter for Electric Vehicle","authors":"Sing Hsia Yeoh, Cheng Yao Pok, K. Lum, K. H. Yiauw","doi":"10.1109/ICSGCE55997.2022.9953732","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953732","url":null,"abstract":"Greenhouse gases and global warming are severe issues for the living on earth and the main factor of these issues is the emission of harmful gases from fossil fuel or petroleum-used vehicles. Thus, the electric vehicle is proposed and commercialized to cut down the use of fossil fuel vehicles. However, the problem of battery cell imbalance of the electric vehicle leads to unsatisfactory and critical bad impacts on the battery lifespan and operating duration, in turn, reducing the public interest in electric vehicles. This paper discussed and proposed the solution to the cell unbalanced issue by utilizing the active cell balancing methods based on the Buck-Boost DC/DC Converter topologies with the integration of several closed-loop control systems and algorithms on the serially connected Lithium-Ion (Li-ion) battery cells in this work. The proposed cell balancing system is tested under a constant load test. Eventually, the proposed model managed to bring all the cells to a balanced state with a nearly similar State of Charge (SOC) for all the cells. MATLAB/Simulink is used for the development of this simulation model.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127803435","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

PFC Converter with Output – Based Feedback Adjustment for Reduced Output Disturbance During Step Load 基于输出反馈调节的PFC变换器在阶跃负载时减少输出干扰

2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) Pub Date : 2022-10-14 DOI: 10.1109/ICSGCE55997.2022.9953695

I. L. Ardiente, Jesus M. Martinez

引用次数: 0

Optimal Charging Station Search in Manhattan Poisson Line Cox Process 曼哈顿泊松线Cox过程中最优充电站搜索

2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) Pub Date : 2022-10-14 DOI: 10.1109/ICSGCE55997.2022.9953675

Canqing Lai, Chen Zhu

引用次数: 0

A New Power System Integrating Storage and Charging in the Distribution Network 配电网蓄充电一体化的新型电力系统

2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) Pub Date : 2022-10-14 DOI: 10.1109/ICSGCE55997.2022.9953708

L. Kai, Lu Jiang, Jiang Yizhou, Miao Honglei, Gui Yonghua, Zhang Fuxing

引用次数: 0

Dynamic Evaluation of Guangxi Low Carbon Development Index-Based on FDA Method 基于FDA法的广西低碳发展指标动态评价

2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) Pub Date : 2022-10-14 DOI: 10.1109/ICSGCE55997.2022.9953709

Xiqiao Lin, Huiling Qin, Min Cheng

{"title":"Dynamic Evaluation of Guangxi Low Carbon Development Index-Based on FDA Method","authors":"Xiqiao Lin, Huiling Qin, Min Cheng","doi":"10.1109/ICSGCE55997.2022.9953709","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953709","url":null,"abstract":"Based on the city data from 2003 to 2016, this paper evaluates the low-carbon level of Guangxi Province and cities. The entropy weight method is used to calculate the low-carbon level of each city, and then the FDA method and various curves are used to investigate the potential dynamic changes. The findings are as follows: (1) The low-carbon levels of cities in Guangxi are quite different, with Nanning (0.7739), Liuzhou (0.3936) and Guilin (0.3585) ranking the first three, Baise (0.1786), Hechi (0.1726) and Laibin (0.1726) (2) From the perspective of the dynamic characteristics of low-carbon development in different cities, the low-carbon level of most cities has an upward trend, but a few cities show a downward trend; (3) From the perspective of the dynamic characteristics of the overall low-carbon development, the overall low-carbon development level of Guangxi Province shows a trend of first falling and then increasing, and it still keeps an obvious upward trend at the end of the sample. This paper provides theoretical support for low-carbon development in Guangxi, which has important practical significance for realizing the goal of \"peak carbon dioxide emissions, carbon neutral\".","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122318428","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

An Open Source Grid Observer for the Analysis of Power Flexibilities in Low Voltage Distribution Grid Simulations 一个用于低压配电网仿真中功率柔性分析的开源电网观测器

2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE) Pub Date : 2022-10-14 DOI: 10.1109/ICSGCE55997.2022.9953716

S. Fayed, F. V., Henrik Wagner, J. Rolink

{"title":"An Open Source Grid Observer for the Analysis of Power Flexibilities in Low Voltage Distribution Grid Simulations","authors":"S. Fayed, F. V., Henrik Wagner, J. Rolink","doi":"10.1109/ICSGCE55997.2022.9953716","DOIUrl":"https://doi.org/10.1109/ICSGCE55997.2022.9953716","url":null,"abstract":"The existence of voltage range violations represents a challenge in low voltage grids with a high penetration of decentralized generation, storage capacities or electro-mobility. If grid expansion is to be avoided in the future, an extensive information exchange between the system’s components is required to provide an optimal energy supply and guarantee operating requirements. This can be studied in details by modelling the energy system components and the communication between them, which is one of the aims of the research project \"Future Energy Laboratories\". Highly integrated application scenarios for sample districts in Germany are simulated and thoroughly analysed during the project. For the detection and correction of voltage range violations at individual buses of a grid, an Open Source Grid Observer tool was developed and tested as a flexibility feature in a quasi-dynamic energy system simulation of a residential district. It allows a wide range of compatibility between various simulation scenarios, as it gives recommendations for power control at considered buses according to predefined flexibilities, such as the type of power (active or reactive), flexibility components (e.g. generation and storage) and injection increment. The corrections were calculated using two methods of the voltage sensitivity analysis theory. A comparison between the methods’ robustness, accuracy and calculation speed is presented, being important performance factors to be considered in this kind of simulations. The functionality of the tool is demonstrated in scenarios with temporary peak loads from electric vehicle charging or a high share of distributed photovoltaic power generation.","PeriodicalId":326314,"journal":{"name":"2022 10th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131110562","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