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2021 IEEE Sustainable Power and Energy Conference (iSPEC)最新文献

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Multi-objective Optimization Planning of Total Supply Capability Evaluation in Distribution Network Considering Network Reconfiguration and Demand Response 考虑网络重构和需求响应的配电网总供应能力评价多目标优化规划
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735965
Yating Zhao, Jingxuan Wang, Zhi Wu, Zheng Tang, Weijie Cao, Qibo He
{"title":"Multi-objective Optimization Planning of Total Supply Capability Evaluation in Distribution Network Considering Network Reconfiguration and Demand Response","authors":"Yating Zhao, Jingxuan Wang, Zhi Wu, Zheng Tang, Weijie Cao, Qibo He","doi":"10.1109/iSPEC53008.2021.9735965","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735965","url":null,"abstract":"The increasing permeability of flexible loads and development of demand response technology not only promote the flexibility of the distribution network dispatch, but also pose challenges on ensuring total supply capability (TSC) and economy efficiency. To this end, the TSC model with demand response constraints based on power flow calculation in terms of multi-period time-scale is first constructed, while considering the N-1 criterion and topology reconfiguration. Then, a multi-objective optimization programming structure is developed, taking the TSC and operation economy as the objective function. Subsequently, the pareto frontier is introduced to solve the model. Finally, the case study on modified 94 node test system validates the availability and accuracy of the proposed model and approach.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"173 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":"116398588","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 Partitioning Strategy Based on Locational Marginal Price with High Proportion of Renewable Energy 基于高比例可再生能源区位边际价格的分区策略研究
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9736069
Chen Yihua, Zhang Wei, Wang Chun, Xu Fan, Cao Rongzhang, Ding Qia
{"title":"Research on Partitioning Strategy Based on Locational Marginal Price with High Proportion of Renewable Energy","authors":"Chen Yihua, Zhang Wei, Wang Chun, Xu Fan, Cao Rongzhang, Ding Qia","doi":"10.1109/iSPEC53008.2021.9736069","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736069","url":null,"abstract":"With the formal proposal of the double carbon goals, the proportion of renewable energy accessing in the system will further increase, and the traditional partitioning strategy is no longer applicable. This paper proposes a power market partition strategy, considering the system network topology and the locational marginal price in different renewable energy output scenarios, and uses a spectral clustering algorithm to partition the nodes. Numerical cases based on IEEE-39 system and provincial power grid of 244 nodes are carried out to demonstrate the effectiveness of the proposed approach, the results of the partition can correctly reflect the electricity market price.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"42 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":"116430846","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
Day-ahead Power Forecasting Model for a Photovoltaic Plant in Macao Based on Weather Classification Using SVM/PCC/LM-ANN 基于SVM/PCC/LM-ANN天气分类的澳门光伏电站日前功率预测模型
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735777
Zhipeng Zhou, Li Liu, Ningyi Dai
{"title":"Day-ahead Power Forecasting Model for a Photovoltaic Plant in Macao Based on Weather Classification Using SVM/PCC/LM-ANN","authors":"Zhipeng Zhou, Li Liu, Ningyi Dai","doi":"10.1109/iSPEC53008.2021.9735777","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735777","url":null,"abstract":"With the growing demand for clean energy, the world's installed solar energy capacity has increased substantially in the last few years. But the power output of photovoltaic (PV) panels varies greatly under different weather conditions. To improve PV power stations' prediction accuracy, this paper designs a forecasting system that uses artificial neural networks (ANNs) optimized by Levenberg–Marquardt (LM) algorithm based on weather classification for 1-day ahead hourly forecasting. In this process, first, the weather is divided into three types: A - sunny, B - cloudy and C - rainy by using support vector machine (SVM) method. Then, the correlation between meteorological factors and PV power output is analyzed through Pearson correlation coefficient (PCC) method in order to select the forecasting model's input. Finally, the corresponding LM-ANN forecasting sub-models are established under each weather type. After applying the trained three sub-models to a small PV power plant in Macao, the results prove that the proposed forecasting system achieves better prediction effect than traditional backpropagation ANN model.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"104 4 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":"116464677","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: 2
Power Auxiliary Service and Business Model of Energy Storages with High Proportion of Renewable Energy 高比例可再生能源储能的电力辅助服务与商业模式
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9736097
Congbin Liang, Hongfeng Wang, Yuantian Xue, Chenjing Ma, Hongtian Zhang, Chun Wei
{"title":"Power Auxiliary Service and Business Model of Energy Storages with High Proportion of Renewable Energy","authors":"Congbin Liang, Hongfeng Wang, Yuantian Xue, Chenjing Ma, Hongtian Zhang, Chun Wei","doi":"10.1109/iSPEC53008.2021.9736097","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9736097","url":null,"abstract":"The research of the energy storage technology has been an important driving force for the development of renewable energy, and it has become a consensus in the electricity market to introduce energy storage technology into the power system with renewable energy. At present, the power auxiliary service market (PASM) in China is still in the construction period. With the increasing investment scale of the energy storage market, energy storage is widely appeared in the PASM. In view of this situation, this paper takes various parts of Northwest China as an example, introduces the application of energy storage technology in the field of renewable energy, discusses the five main auxiliary service types of frequency modulation, peak regulation, reserve, reactive power regulation and black start, and gives the corresponding cost and benefit model. Finally, the business model of the energy storage participating in power auxiliary service is analyzed, and four feasible solutions are given considering the investment mode and operation mode of energy storage system.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"24 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":"121934609","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 Multi-agents Distributed Transactions in Distribution Network Based on ADMM 基于ADMM的配电网多智能体分布式事务研究
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735443
Zhonghao Qian, Lei Mao, Liang Zhou, Ling Lu, Jun Zhang, Xi Wu
{"title":"Research on Multi-agents Distributed Transactions in Distribution Network Based on ADMM","authors":"Zhonghao Qian, Lei Mao, Liang Zhou, Ling Lu, Jun Zhang, Xi Wu","doi":"10.1109/iSPEC53008.2021.9735443","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735443","url":null,"abstract":"Aiming at the electricity transactions between prosumers in the distribution network level, a multi-agent peer-to-peer (P2P) transaction algorithm in the distribution system is proposed. In order to fully protect the privacy and security of each agent, this paper firstly builds a P2P transaction model between prosumers. At the same time, this model takes the need to collect grid usage prices into account and further the alternating direction method of multipliers (ADMM) is used to decompose the model in order to realize distributed transactions. Different numbers of prosumers and grid usage prices are selected as test cases. The results verify the convergence speed of the model, and the model can fully protect the privacy of prosumers.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"3 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":"117080882","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 the Planning of Jiangsu Yancheng New Power System Demonstration Zone with New Energy Resources 江苏盐城新能源电力系统示范区规划研究
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735471
L. Shao, Ruxiang Ma, Hongbing Shi, Tiantian Wei, Haiteng Han
{"title":"Research on the Planning of Jiangsu Yancheng New Power System Demonstration Zone with New Energy Resources","authors":"L. Shao, Ruxiang Ma, Hongbing Shi, Tiantian Wei, Haiteng Han","doi":"10.1109/iSPEC53008.2021.9735471","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735471","url":null,"abstract":"As the prefecture-level city with the largest area, the widest sea area, and the longest coastline in Jiangsu Province, Yancheng is the frontier for promoting the province’s energy transformation and accelerating energy reform. The construction of a new power system with new energy as the main body is the essential guarantee of Yancheng’s achievement to “carbon emission peak and carbon neutrality”. This paper analyzes Yancheng’s situation in the new power system planning with new energy as the main body on the basics of Yancheng’s energy resources endowment. Then it clarifies the positioning and principles of new power system planning with new energy as the main body. It finally builds an overall structure of the new power system planning model based on Yancheng Demonstration Zone.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"7 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":"117157795","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
Modeling and Feasibility Analysis of Hydrogen Fuel Cells Powered All Electric Aircrafts 氢燃料电池驱动全电动飞机的建模与可行性分析
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735827
Guanwei Zeng, Yongli Zhu, Chengxi Liu, Xin Gao
{"title":"Modeling and Feasibility Analysis of Hydrogen Fuel Cells Powered All Electric Aircrafts","authors":"Guanwei Zeng, Yongli Zhu, Chengxi Liu, Xin Gao","doi":"10.1109/iSPEC53008.2021.9735827","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735827","url":null,"abstract":"At present, the global climatic change is concerning the countries all over the world. Most of the countries are struggling to control the carbon emission, which gives rise to a series of green transition of different industries. Among these industries, the aviation industry is growing rapidly and stubborn, which requires the development of sustainable energy sources for aviation technologies to achieve zero net carbon emission. Within the sustainable energy sources, hydrogen fuel cells have been wildly acknowledged for their high power density and being environmentally friendly. This paper firstly introduces the mathematical models of fuel cells and aircrafts’ aerodynamics, and then builds an integrated model in the MATLAB/Simulink including the subsystems of fuel cells, i.e. electric power supply, flight environment analysis and aerodynamic systems. Moreover, the model is used to simulate a real electrical aircraft powered by the hydrogen fuel cells to verify the effectiveness of the model and analyze the feasibility of all electrical aircrafts (AEA) with hydrogen fuel cells.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"81 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":"117157829","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
Current Sharing Control of Boost PFC in Parallel Operation Without Current Detection 无电流检测时升压PFC并联工作的电流共享控制
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735621
Hairui Tang, Minjie Zhu, ManChao Cui, Liangchuang Liao, Y. Xing
{"title":"Current Sharing Control of Boost PFC in Parallel Operation Without Current Detection","authors":"Hairui Tang, Minjie Zhu, ManChao Cui, Liangchuang Liao, Y. Xing","doi":"10.1109/iSPEC53008.2021.9735621","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735621","url":null,"abstract":"Conventional dual loop control scheme usually includes an input current sensed circuit for PFC control and easy module paralleling. However, for the universal 47 $sim$ 800Hz grids, the conventional scheme fails to provide good waveform shaping due to the limited tracking speed of inner current loop. To solve the problem, the authors proposed a simple and effective method without current sensing in a previous paper. Yet, current sharing control in parallel operation is not mentioned. On this basis, this paper further proposes a parallel control scheme. Half-brick PFC modules were developed to verify the experimental results.","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":"117163532","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
Optimized Named Entity Recognition of Electric Power Field Based on Word-Struct BiGRU 基于词结构BiGRU的电场命名实体识别优化
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735481
Li Wensong, Hu Zhuqing, Zhang Jinhui, Liu Xuejing, Lin Feng, Yu Jun
{"title":"Optimized Named Entity Recognition of Electric Power Field Based on Word-Struct BiGRU","authors":"Li Wensong, Hu Zhuqing, Zhang Jinhui, Liu Xuejing, Lin Feng, Yu Jun","doi":"10.1109/iSPEC53008.2021.9735481","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735481","url":null,"abstract":"In view of the characteristics of small corpus size, nested entities and abbreviated entities in electric field, this paper studied the methods of entity recognition in professional field, and proposed a method of entity recognition in electric field based on text vector feature enhancement. Firstly, by using low-intensity and preset word segmentation, the semantic information contained in Chinese words can be used reasonably to avoid the influence of semantic separation between single Chinese character and word on text vectors; Then WS-BiGRU is designed to learn the structural features of words, and a new feature enhancement vector is formed by fusing word vectors, parts of speech and word lengths. Furthermore, the training of entity recognition model is completed by BiGRU-Attention-CRF. For electric corpus, the P value is 86.74% and the R value is 87.3%. The research results can be used in electric dispatching knowledge graph, metadata model, intelligent report query and other business scenarios.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"34 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":"117198494","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
[PDF Not Yet Available In IEEE] [PDF尚未在IEEE中提供]
2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI: 10.1109/iSPEC53008.2021.9735964
{"title":"[PDF Not Yet Available In IEEE]","authors":"","doi":"10.1109/iSPEC53008.2021.9735964","DOIUrl":"https://doi.org/10.1109/iSPEC53008.2021.9735964","url":null,"abstract":"The document that should appear here is not currently available.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"25 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":"117211295","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
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