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Wind Power System Design with Seventy-two Pulse Rectifier for Water Pumping Applications 水泵用72脉冲整流器风力发电系统设计
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490445
Waleed Obaid, A. Hamid, C. Ghenai, M. Bettayeb
{"title":"Wind Power System Design with Seventy-two Pulse Rectifier for Water Pumping Applications","authors":"Waleed Obaid, A. Hamid, C. Ghenai, M. Bettayeb","doi":"10.1109/ICSGSC52434.2021.9490445","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490445","url":null,"abstract":"This work demonstrates a wind power system design for water pumping applications in isolated and remote areas. The proposed design involves wind turbines, asynchronous generator, three-phase AC to DC rectifier (power circuit part), voltage regulator (power circuit part), and DC motors that drive centrifugal pumps. The used AC to DC rectifier is a 72-pulse rectifier that involves two transformers and two diode bridges (six diodes for each bridge) in order to reduce the Total Harmonic Distortion (THD) of the main and transformer currents and enhance the output DC voltage. The proposed wind water pumping system is demonstrated using MATLAB and Simulink to show the performance of the proposed system.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"6 1","pages":"28-32"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89385316","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
Real Time Electricity Market (RTM) in India 印度实时电力市场(RTM)
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490431
Shabari Pramanick, N. Ahmad, Daman Kumar Jain
{"title":"Real Time Electricity Market (RTM) in India","authors":"Shabari Pramanick, N. Ahmad, Daman Kumar Jain","doi":"10.1109/ICSGSC52434.2021.9490431","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490431","url":null,"abstract":"Present power system and market reforms in India are being driven by large-scale integration of renewable energy into the grid. Indian Power system aims to achieve 175 GW of renewable energy capacity by 2022 and further, it has embarked on an ambitious target of 450 GW of renewable energy by 2030. The real-time availability of renewable energy being weather dependent and intermittent can increase the ramp in net load profile besides causing the significant difference between generation and load. Apart from the uncertainties in the generation side, the demand side is also changing with the growing adoption of distributed energy resources as well as the push to popularize electric vehicles, which is expected to increase demand uncertainty. Hence, to coordinate the demand and supply sides closer to real -time, Central Electricity Regulatory Commission implemented the Real Time Market in India, through the amendment in power market regulation in December 2019. This paper analyses the current market operations, real-time market design for India and the operational experience gained post implementation, and way forward of RTM through the case study.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"43 1","pages":"112-117"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87873228","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
A Methodology for Evidence-Based Data-Driven Decision Support in Policymaking 政策制定中基于证据的数据驱动决策支持方法
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490448
Daniel Guzman Vargas, S. Gautama
{"title":"A Methodology for Evidence-Based Data-Driven Decision Support in Policymaking","authors":"Daniel Guzman Vargas, S. Gautama","doi":"10.1109/ICSGSC52434.2021.9490448","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490448","url":null,"abstract":"Policymakers have the crucial task to develop innovative solutions to increasingly complex policy problems - sometimes referred to as ‘wicked’ problems - that lack the sense of clarity that most of the problems in science or engineering have, where a problem statement can be clearly defined. A DSS appropriate for handling ‘wicked’ problems in policymaking should help decision-makers cope with the problem's complexity, facilitate the assessing of multiple alternatives, and favor a discussion towards a common agenda. Such DSS could promote institutional efficiency and strengthen institutional integrity. Considering such requirements, we develop a methodology for the systematic exploration of the problem's solution space using expert knowledge. The application of the methodology in a specific use case suggests the methodology could be applied in a DSS for the identification of patterns and trends in policy-relevant data, the identification of possible policy configurations, the drafting of alternative scenarios based on the possible configurations, and institutional efficiency in terms of time and resources needed to formulate a solution to the policy problem.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"10 5 1","pages":"151-159"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77590190","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
Online Predictor Design for Conductor Galloping 导线疾驰在线预测器设计
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490481
Bin Liu, Danyu Li, Yongfeng Cheng, Songpeng Cao, Qiushi Huang, Chenye Wu
{"title":"Online Predictor Design for Conductor Galloping","authors":"Bin Liu, Danyu Li, Yongfeng Cheng, Songpeng Cao, Qiushi Huang, Chenye Wu","doi":"10.1109/ICSGSC52434.2021.9490481","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490481","url":null,"abstract":"Conductor galloping, like many other natural disasters, poses significant challenge to the reliable operation of power system. Such events happen in extreme weather conditions with complex physical triggering mechanisms. Hence, it is challenging to predict such events due to the limited (galloping) samples as well as complex physical dynamics. In this paper, we seek to employ a data-driven model to design galloping predictor. To mitigate the obstacles led by limited samples, we first design a greedy unit disk covering algorithm to extract the structural knowledge in the available dataset. Viewing such knowledge as states, we further propose a continuous time Markov chain to generate the pseudo online data. This data generator further allows us to design the data-driven online predictors for conductor galloping. Numerical studies highlight that k-nearest neighbor predictor works remarkably and more robust to the different degrees of data imbalance, compared with online logistic regression and online random forest.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"24 1","pages":"82-87"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72601821","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
Research on Harmonic Traceability Method of Reference Meter Based on Power Comparison 基于功率比较的基准电表谐波溯源方法研究
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490427
Zhao Zhihua, Bao Xuejun, Wang Huanning, Huang Yan, Tan Hengyu, Yao Hejun
{"title":"Research on Harmonic Traceability Method of Reference Meter Based on Power Comparison","authors":"Zhao Zhihua, Bao Xuejun, Wang Huanning, Huang Yan, Tan Hengyu, Yao Hejun","doi":"10.1109/ICSGSC52434.2021.9490427","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490427","url":null,"abstract":"The harmonics generated by a large number of power electronic equipment in the power grid will seriously affect the measurement accuracy of electric energy measuring instruments. Therefore, in order to determine the anti-harmonic interference performance of electric energy meters, harmonic influence tests are required in the national standards of electric energy meters and the type evaluation outline. As the main standard device used in the harmonic impact test of the electric energy meter, the reference meter has passed the measurement verification, but its verification items do not include the detection of the harmonic measurement performance. In order to ensure the validity of the harmonic impact test of the electric energy meter, it is necessary to test the harmonic measurement performance of the reference meter. This paper designs a set of measurement and detection schemes that uses power comparison method to trace the source of harmonics of reference meters. It has important reference value for improving the accuracy of harmonic measurement and the reliability of electric energy meter type test.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"29 1","pages":"23-27"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81802085","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 WSN Integrated Supporting System Deployment of an HVDC Converter Station 高压直流换流站无线传感器网络综合支撑系统部署
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490511
Bingjiang Chai, Hui Xu, Junting Dou, Wanda Chen, Miaolong Hu, Jun Li
{"title":"A WSN Integrated Supporting System Deployment of an HVDC Converter Station","authors":"Bingjiang Chai, Hui Xu, Junting Dou, Wanda Chen, Miaolong Hu, Jun Li","doi":"10.1109/ICSGSC52434.2021.9490511","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490511","url":null,"abstract":"In recent years, using Internet of Things (IoT) technology to build the intelligent functions in the Smart Grid has become one of the key development strategies of China State Grid Corporation. As a fundamental technology building block to IoT, wireless sensor network (WSN) technology faces greater technical challenges in power grids than in most of other domains. In the harsh deployment environment of a power grid, satisfying requirements such as low power consumption, good transmission coverage and high reliability are the key focuses for the WSN design. This paper presents our WSN design techniques that address the requirements for Smart Grid facilities. We demonstrate our WSN design in the supporting system of the LingZhou HVDC converter station with over 1600 wireless sensors installed. Our WSN system not only makes the converter station smarter, but also significantly reduce the cost of the installation and maintenance of the supporting system of the station.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"735 1","pages":"10-15"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76804002","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 Key Issues of Constructing Southern Regional Power Market in China 中国南方区域电力市场建设的关键问题研究
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490489
Senlin Zhang, Zhi-Yi Lu, Dongliang Xiao
{"title":"Research on the Key Issues of Constructing Southern Regional Power Market in China","authors":"Senlin Zhang, Zhi-Yi Lu, Dongliang Xiao","doi":"10.1109/ICSGSC52434.2021.9490489","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490489","url":null,"abstract":"To construct a unified national power market in China, a feasible and effective method is to start with a number of inter-provincial regional power markets, and then gradually integrate these regional markets to expand the market scope. In this circumstance, the southern regional power market could be the pioneer in the process of Chinese power market construction. In this paper, a comprehensive review is first conducted for the construction achievements of the southern regional power market since the new round of Chinese power system reform in the year 2015. Then, the necessities of constructing a unified power market in the southern region of China are analyzed, and some market construction ideas are proposed. Next, several key issues of constructing southern regional power market are further addressed in detail. Finally, conclusions are obtained, and some suggestions on the market mechanism design, trading rule/policy-making and simulation-based risk analysis were proposed to further promote the construction of southern regional power market in China.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"100 1","pages":"118-124"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90064955","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
Simulation of an Adaptive Active Power Filter Controlled by FXLMS Method FXLMS方法控制的自适应有源电力滤波器仿真
智能电网(汉斯) Pub Date : 2021-06-18 DOI: 10.1109/ICSGSC52434.2021.9490505
Yijie Xu, Chen Huang, Liang Chen
{"title":"Simulation of an Adaptive Active Power Filter Controlled by FXLMS Method","authors":"Yijie Xu, Chen Huang, Liang Chen","doi":"10.1109/ICSGSC52434.2021.9490505","DOIUrl":"https://doi.org/10.1109/ICSGSC52434.2021.9490505","url":null,"abstract":"An adaptive active power filter (APF) for distributed power generation systems and isolated power systems is proposed to solve the problem of frequent switching of working conditions while the installed capacity is small. The filter uses FXLMS algorithm to control the FIR filter and modifies the filter parameters through quasi-online modeling. Two different multifrequency FXLMS harmonic suppression methods are simulated and compared in this paper.","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"51 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89315549","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
Research on Noise Reduction Scheme for ±800 kV Hainan Converter Station 海南±800kv换流站降噪方案研究
智能电网(汉斯) Pub Date : 2021-01-01 DOI: 10.12677/sg.2021.111001
伟 常
{"title":"Research on Noise Reduction Scheme for ±800 kV Hainan Converter Station","authors":"伟 常","doi":"10.12677/sg.2021.111001","DOIUrl":"https://doi.org/10.12677/sg.2021.111001","url":null,"abstract":"","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66260183","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 Wind Power Forecasting Based on CEEMD and Deep Learning Model 基于CEEMD和深度学习模型的短期风电预测
智能电网(汉斯) Pub Date : 2021-01-01 DOI: 10.12677/sg.2021.114028
一民 帅
{"title":"Short-Term Wind Power Forecasting Based on CEEMD and Deep Learning Model","authors":"一民 帅","doi":"10.12677/sg.2021.114028","DOIUrl":"https://doi.org/10.12677/sg.2021.114028","url":null,"abstract":"","PeriodicalId":66748,"journal":{"name":"智能电网(汉斯)","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66260827","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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