2022 IEEE International Conference on Energy Internet (ICEI)最新文献

Distributed Photovoltaic-Storage System Optimization Planning Considering Flexible Resources in Smart Distribution Network 智能配电网中考虑柔性资源的分布式光伏储能系统优化规划

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00010

Guanzhang Ju, Min Zhao, Shunxin Li, Ruipeng Jing

引用次数: 0

A Bidirectional Converter Stabilization Control Strategy for Novel Power Systems 新型电力系统的双向变换器稳定控制策略

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00014

Shengliang Cai, Xin Zhao, R. Song, Junqi Liu, Xuebin Wang, Xiangjiang Xiao

{"title":"A Bidirectional Converter Stabilization Control Strategy for Novel Power Systems","authors":"Shengliang Cai, Xin Zhao, R. Song, Junqi Liu, Xuebin Wang, Xiangjiang Xiao","doi":"10.1109/ICEI57064.2022.00014","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00014","url":null,"abstract":"With the increasing proportion of photovoltaic (PV) and other new energy in the grid, it is foreseeable that the future grid will become novel power systems with photovoltaic and other new energy as the main energy source. However, due to the volatility and randomness of PV power generation, making the grid prone to become unstable. By connecting the PV generation and storage devices to the DC bus, the grid instability caused by the use of PV generation can be effectively attenuated. Based on this, this paper applies dual-bridge series resonant DC/DC converter (DB-SRC) to the connection of PV and energy storage devices to DC bus, and proposes a minimum current stress control strategy under single side dual phase shift control, which can select the optimal internal and external shift angles based on the voltage gain and the actual output power. Meanwhile, in order to improve the dynamic characteristics and reduce the current stress of the converter, this paper combines the minimum current stress control strategy with the model predictive control strategy and proposes a model predictive control based on the minimum current stress (MPC-MCS). This method reduces the impact of circuit parameters on the MPC while improving the dynamic characteristics of the converter and reducing current stress, ensuring the accuracy of the controller output at steady state.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128700480","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

Intelligent control technology of air source heat pump for mango drying 芒果干燥用空气源热泵智能控制技术

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00013

Xiaoxuan Guo, Xianwen Zhu, Leping Sun, Qiushuo Li, Shuai Han

{"title":"Intelligent control technology of air source heat pump for mango drying","authors":"Xiaoxuan Guo, Xianwen Zhu, Leping Sun, Qiushuo Li, Shuai Han","doi":"10.1109/ICEI57064.2022.00013","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00013","url":null,"abstract":"In order to improve the efficiency of mango drying and save energy, the paper analyzes the process flow of mango drying by air source heat pump (ASHP). Aiming at the low energy efficiency of the conventional segmented constant temperature and humidity (SCTCH) drying process, the paper proposes a new method combining segmented variable structure drying rate control with intelligent neural network. To accurately control the dehumidification amount at the drying process transition point (TP) to ensure the drying quality of mango, each drying section is devide to 3 parts and respectively adopt different control methods. According to the mutual coupling characteristics of the temperature and humidity and the fact that the drying process is easily disturbed by the environment and other external factors, the non-linear autoregressive neural network (NARX) with external input is used to intelligently adjust the set values of the temperature and humidity of the drying room to improve the dehumidification capacity of the unit energy consumption. Through the experiment of mango drying with ASHP drying system, compared with the conventional SCTCH drying method, the control method proposed in this paper can ensure the drying quality of mango and save 8.45% of electric energy.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126220107","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 Capacity Configuration of Battery Storage System for Zero Energy Office Building on Campus 校园零能耗办公楼蓄电池储能系统最优容量配置

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00026

Yuan Cao, Kun Yu, Xingying Chen, Le Bu, Fei Mei, H. Hua, Yu Zheng

{"title":"Optimal Capacity Configuration of Battery Storage System for Zero Energy Office Building on Campus","authors":"Yuan Cao, Kun Yu, Xingying Chen, Le Bu, Fei Mei, H. Hua, Yu Zheng","doi":"10.1109/ICEI57064.2022.00026","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00026","url":null,"abstract":"To reduce greenhouse gas emissions during the operation of buildings, establishing PV systems in buildings has become an effective means. However, PV generation has large intermittency and uncertainty, which makes it difficult to ensure the energy consumption of zero energy building (ZEB). To solve this problem and meet the energy consumption of building loads at different time scales, the battery storage (BS) needs to be installed and the storage capacity needs to be reasonably configured. Not only economic factors but also technical factors must be taken into account at the same time. In this paper, the differences in energy consumption between campus office building loads and ordinary commercial office building loads are analyzed, and then the BS is modelled. After that, the technical and economic indicators are taken into account in the objective function to optimize the capacity of the BS for campus office buildings. The simulation results show that the method adopted in this paper can effectively obtain the optimal capacity configuration for the building battery storage system, and the capacity configuration method can be used for building BS in a more comprehensive way to meet the diverse needs of different scenarios.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125389138","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 Asymmetric Control Strategy for Bipolar VSC-HVDC Connected Islanded New Energy 双极VSC-HVDC连接孤岛新能源的非对称控制策略

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00030

Maolan Peng, Lei Feng, Hang Liu, Xilin Yan, Dachao Huang

{"title":"An Asymmetric Control Strategy for Bipolar VSC-HVDC Connected Islanded New Energy","authors":"Maolan Peng, Lei Feng, Hang Liu, Xilin Yan, Dachao Huang","doi":"10.1109/ICEI57064.2022.00030","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00030","url":null,"abstract":"Under the background of vigorously developing new energy power generation technology, photovoltaic, wind power, and other new energy power generation technologies have been developed continuously. The voltage source converter based high voltage direct current (VSC-HVDC) plays an important role as a transmission technology widely used in large-scale new energy delivery. The reliable and flexible bipolar structure can be adopted to improve the transmission capacity and voltage level of VSC-HVDC, however, the adoption of traditional $V/f$ control strategy for bipolar VSC-HVDC system may lead to instability due to the control of same target of positive and negative poles. In order to realizes the stable operation of the bipolar VSC-HVDC system in the new energy island delivery scenario, an asymmetric control strategy with $V/f$ control adopted by positive converters and the constant active and negative power $(P/Q)$ control for negative converters is proposed. In addition, a power-balancing control approach, which is necessary to balance the active power between positive and negative poles is proposed in this paper. The proposed control strategy is simulated in the case of new energy output power fluctuation and AC fault, and it is verified that the control strategy keeps the power balance of the positive and negative pole and shows excellent dynamic characteristics.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123863705","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

Ancillary Market Mechanism for Load Participation in Peak Load Shifting of Power System with High Penetration of Renewable Energy 可再生能源高渗透电力系统调峰负荷参与的辅助市场机制

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00023

Le Liu, Jinchang Zhang, Lanke He, Qirong Jiang, Yongsheng Hu

引用次数: 0

Machine Learning-based Heat Generation Rate Estimation and Diagnosis for Lithium-ion Batteries 基于机器学习的锂离子电池产热率估计与诊断

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00024

Jian Hu, Zhongbao Wei, Hongwen He

引用次数: 0

Architecture and Functional Design of Two-stage Distributed Energy Storage Operation Platform 两级分布式储能运行平台体系结构与功能设计

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00034

Guojing Liu, Lu Wan, Yibin Tao, Bingyu Sang, Feifei Zhao, Zhuyi Peng

引用次数: 0

Analysis of Carbon Emission Reduction Potential of Regional Multi-Energy System Considering the Influencing Factors of Carbon Emissions 考虑碳排放影响因素的区域多能系统碳减排潜力分析

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00015

Jing Zhu, Qiyuan Wang, Tianhai Peng, Zihan Qu, Xuan Cai, Tian Wang, Lei Liu, Zhao Liang, Tong Jing

{"title":"Analysis of Carbon Emission Reduction Potential of Regional Multi-Energy System Considering the Influencing Factors of Carbon Emissions","authors":"Jing Zhu, Qiyuan Wang, Tianhai Peng, Zihan Qu, Xuan Cai, Tian Wang, Lei Liu, Zhao Liang, Tong Jing","doi":"10.1109/ICEI57064.2022.00015","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00015","url":null,"abstract":"With the proposal of “30.60” to achieve the goal of “carbon peak and carbon neutrality”, in order to analyze the carbon emission reduction potential of regional multi-energy system (RMES), this paper proposes an optimization method that considers the influencing factors of carbon emissions. Firstly, the RMES is modeled, secondly, the main factors affecting carbon emissions are screened by gray relation analysis (GRA), and the effectiveness of the power purchase carbon emission model of the power grid is verified based on multiple linear regression to construct the system carbon emission model, and finally, the operating cost and carbon emission of the system under different optimization goals are compared based on Pareto optimality. The simulation results show that when the optimization goal is to minimize operating cost and carbon emissions, the operating cost increases by 6.14%, but the carbon emission decreases by 34.64%, which indicates that the optimization model proposed in this paper is conducive to the low-carbon economic operation of the system. At the same time, compared with the single energy purchase system, the RMES can reduce carbon emissions by about 6 6.46%, and has greater carbon emission reduction potential.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128779318","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

Multi-micro Network Multi-time Scale Trading Mechanism Design and Trading Strategy Optimization 多微网络多时间尺度交易机制设计与交易策略优化

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00022

Tong Li, Qian Sun

引用次数: 0