2021 IEEE Sustainable Power and Energy Conference (iSPEC)最新文献_第4页

Mid-long Term Interprovincial Renewable Energy Consumption Potential and Strategy of Clean Emission in Shanghai’s Power Sector 上海电力行业中长期跨省可再生能源消费潜力及清洁排放战略

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735490

Feng Ding, Xiaogang Li, Bo Zhou, Min Wu, Edgard Gnansounoue

{"title":"Mid-long Term Interprovincial Renewable Energy Consumption Potential and Strategy of Clean Emission in Shanghai’s Power Sector","authors":"Feng Ding, Xiaogang Li, Bo Zhou, Min Wu, Edgard Gnansounoue","doi":"10.1109/iSPEC53008.2021.9735490","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735490","url":null,"abstract":"This paper proposes a system analysis approach on Shanghai’ s power supply system and carbon emission policy. Based on the prediction and assessment of a mid-long term development on power supply system from 2010 to 2030, by using Planelec-Pro, which is a least-cost probabilistic simulation and dynamic programming model,an evaluation of the CO2 emission reduction potential in terms of energy saving will be given. This study is also summarize the main factors affecting emissions of carbon dioxide gas in Shanghai,from the aspects of power system technology and policy mechanisms, to propose rationalization of technology strategy and policy improvements to promote the Inter-provincial Renewable Energy Consumption, which can be a reference and guidance for the Inter-provincial power trading to take proactive steps to combat climate change. his paper also discusses the role and role of East China Power Grid in China’s unified power market system, analyzes the positioning of East China Power Grid under the two-level power market system, and puts forward the construction path map of inter provincial power market of East China Power Grid under the unified power market system.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"46 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":"128568323","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

Construction Method of Equipment Knowledge Graph in Power Grid Monitoring Field Based on Multi-source Data Fusion 基于多源数据融合的电网监测领域设备知识图构建方法

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735819

Liu Yi, Yang Yinbin, Zhao Yang, Hu Qinran, Deng Xing

{"title":"Construction Method of Equipment Knowledge Graph in Power Grid Monitoring Field Based on Multi-source Data Fusion","authors":"Liu Yi, Yang Yinbin, Zhao Yang, Hu Qinran, Deng Xing","doi":"10.1109/iSPEC53008.2021.9735819","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735819","url":null,"abstract":"With the rapid development of large-scale distributed power generation, energy storage, and dispatch monitoring in the power grid, the connections between the various business departments of the power grid are getting closer. There is an urgent need to integrate multiple types of equipment with a “grid diagram” topology correlation model. Therefore, the power industry introduces knowledge graphs to store associated massive amounts of data. However, currently, the research of knowledge graphs in the field of a power grid is still in its infancy. In order to solve the problem of single data and poor scalability of equipment knowledge graphs in the area of power grid monitoring, this paper proposes a method for constructing equipment knowledge graphs based on multi-source data fusion and expounds the process of integrating multi-source data into graphs. Finally, through the comparison of calculation examples, the results show that constructing equipment knowledge graphs in the power grid monitoring field based on multi-source data fusion enriches the original data, improves the graph coverage rate, and broadens the application scenarios of equipment knowledge graphs. Furthermore, it provides new ideas for the further development of knowledge graphs in the field of power grids.","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":"129894232","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 Hybrid Energy Storage System for Photovoltaic Plant 光伏电站混合储能系统最优容量配置

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735527

Jingbo Zhao, Sicong Zhang, Yihui Zhang, Zhi-Li Zhang

引用次数: 0

Mitigating Subsynchronous Oscillation Using Adaptive Virtual Impedance Controller in DFIG Wind Farms 利用自适应虚拟阻抗控制器抑制DFIG风电场的次同步振荡

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735579

Shanshan Xu, Xi Wu, Wen Gu, Lixin Fan, Yao Lu, Zixiao Zou

{"title":"Mitigating Subsynchronous Oscillation Using Adaptive Virtual Impedance Controller in DFIG Wind Farms","authors":"Shanshan Xu, Xi Wu, Wen Gu, Lixin Fan, Yao Lu, Zixiao Zou","doi":"10.1109/iSPEC53008.2021.9735579","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735579","url":null,"abstract":"Subsynchronous oscillation(SSO) may occur in doubly-fed induction generator (DFIG)-based wind farms transmission system with series capacitive compensation. However, the uncertainties of wind farm have non-negligible impact on SSO. The traditional suppression method based on the virtual impedance controller may be unable to adapt to the variation of uncertainties in the wind farms due to its fixed parameters. Meanwhile, the variation of uncertainties will cause the change of the wind turbine impedance, which further affects the mitigation effect of the virtual impedance controller. To solve this problem, this paper proposes an SSO mitigation strategy based on an adaptive virtual impedance controller that takes into account the uncertainties of multiple wind farms. First, the DFIG impedance model considering the RSC outer control loop is established, and then the influence mechanism of DFIG active power output and reactive power output on SSO is revealed. Next, based on the suppression principle of the virtual impedance controller and the derived DFIG impedance model, an adaptive virtual impedance controller is proposed and its parameter update strategy and overall control structure are designed. Finally, considering multiple uncertainties in wind farms, the suppression effect and adaptability of the proposed strategy are demonstrated.","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":"130516467","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

Trusted Management and Traceability Technology of Power Data 电力数据可信管理与可追溯技术

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735851

Chen Zhang, Bingyue Peng, Xiang Yu, Xin Zhan, Hengmen Liu, Wenqing Ruan

引用次数: 0

A Comprehensive Arc-suppression Scheme Considering Line Voltage Drop 考虑线路电压降的综合消弧方案

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735853

Qian Lin, Zitao Xu, Jingjing Yang, X. Wen, G. Zou, Yiming Zhai

引用次数: 1

Research on grid-planning methods for the integration of high-permeability renewable energy 高渗透可再生能源并网规划方法研究

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735549

Qiang Ma, Jiami Sun, Cui Du, Wei Wang, H. Zhai, H. Xing

{"title":"Research on grid-planning methods for the integration of high-permeability renewable energy","authors":"Qiang Ma, Jiami Sun, Cui Du, Wei Wang, H. Zhai, H. Xing","doi":"10.1109/iSPEC53008.2021.9735549","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735549","url":null,"abstract":"Renewable energy has become an important way to promote the development of low-carbon trend due to its low energy consumption, greenhouse gas emissions and sustainable development. However, due to the randomness and intermittent output of renewable energy with high penetration rate in the grid, it may cause deterioration of power quality, transmission and distribution sufficiency, and power supply reliability. Moreover, renewable energy may reduce the accuracy of estimation and dispatch, and ultimately greatly decreases the security of the grid. This paper studies grid-planning and optimal decision-making methods for the integration of high-permeability renewable energy. By comparing the access point and outside-delivered power of high permeability renewable energy under different voltage levels and different grid divisions, combined with the economic and reliability indicators, the planning scheme is proposed. With the proposed scheme for renewable energy, the impact and adaptability to the integrated power grid have been greatly improved. The proposed planning method is utilized and effects are verified in the IEEE case with 118 buses for the integration of wind farms.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"59 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":"129071927","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

Refined Modelling Approach of HVACs in Commercial Buildings 商业建筑暖通空调的精细化建模方法

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9736121

Jiangnan Li, Jing Meng, Meng Song, Ciwei Gao, Ao Liu, Yang Zhang, Pingping Xie

引用次数: 0

Mechanical Fault Diagnosis of Reactor Core Winding Looseness Based on Multi-feature Fusion and Improved KELM 基于多特征融合和改进KELM的电抗器绕组松动机械故障诊断

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735477

Peng-fei Hou, Hongzhong Ma, Baowen Liu, Xuan Chen, C. Zhu, Fenglei Tan

{"title":"Mechanical Fault Diagnosis of Reactor Core Winding Looseness Based on Multi-feature Fusion and Improved KELM","authors":"Peng-fei Hou, Hongzhong Ma, Baowen Liu, Xuan Chen, C. Zhu, Fenglei Tan","doi":"10.1109/iSPEC53008.2021.9735477","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735477","url":null,"abstract":"To solve the problems of frequent occurrence of loose cores of high-voltage shunt reactor (HVSR) windings and low operating efficiency, this paper proposes a fault diagnosis method based on multi-feature fusion and an improved bat optimization-based kernel extreme learning machine (IBA- KELM). This method is mainly based on the time-frequency feature fusion of the vibration signal of the reactor. Firstly, this paper extracts the time-frequency domain feature quantities of the original vibration signals of multiple sensors, and performs parallel superposition and fusion of the feature levels to obtain a fusion data set. Secondly, using the fusion data sets, this paper establishes an IBA-KELM-based reactor winding core looseness fault diagnosis and identification model. Finally, the experimental data of the 20kVA reactor experimental platform is adopted to verify the effectiveness and superiority of the proposed method. Experimental results demonstrate that the proposed method has higher recognition accuracy and diagnosis accuracy compared with similar algorithms.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"299 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":"123862990","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

Time of Use Pricing Strategy of Charging Aggregator considering Peak Load and Frequency Regulation 考虑峰值负荷和频率调节的充电聚合器使用时间定价策略

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735678

Yang Zhenyu, Yang Shaohong, Huang Xiaoqing

{"title":"Time of Use Pricing Strategy of Charging Aggregator considering Peak Load and Frequency Regulation","authors":"Yang Zhenyu, Yang Shaohong, Huang Xiaoqing","doi":"10.1109/iSPEC53008.2021.9735678","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735678","url":null,"abstract":"Orderly charging of electric vehicles (EVs) can alleviate the impact of large-scale EVs on distribution network. Time of use (TOU) sharing pricing is an orderly scheduling strategy. However, the previous TOU pricing strategies overlook EVs participating in peak shaving and frequency regulation and the comprehensive profits of power grid, charging aggregator (CAs) and EVs. Thus, this paper studies the TOU pricing strategy. Firstly, the driving characteristics and load change characteristics of EVs are analyzed, and the cost-benefit model of EVs participating in peak load regulation and frequency regulation is constructed. Then, a TOU pricing model taking the minimum variance of EV load and the maximum cost-benefit of EV users and CAs as the objective function is modeling. The non-dominated sorting genetic algorithm (NSGA-II) algorithm is used to solve the peak-normal-valley period electricity price. The result shows the effectiveness of the TOU pricing strategy, the peak valley difference and volatility of load can be reduced, the expenditure of EV users will be reduced, and the income of CAs will be increased.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"122 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":"124184621","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