2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)最新文献_第10页

Control Strategy to Mitigate Risk of Hybrid HVDC Continuous Commutation Failure 降低混合直流连续换相故障风险的控制策略

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994490

Lin Zizhao, He Xiaofeng, Li Chengxiang, Yao Wenfeng, Xia Chengjun, Min Xin

引用次数: 2

A narrow bandwidth detection method for inter-harmonics in Tokamak power supply 托卡马克电源间谐波的窄带宽检测方法

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994407

Yunxiang Tian, Liuwei Xu, Jing Lu, Yanan Wu, Junmin Zhang

引用次数: 0

Electricity Market Simulation Considering High Proportion of Renewable Energy Penetration 考虑高比例可再生能源渗透率的电力市场模拟

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994708

Jiayu Zhong, Haoyong Chen, Wutao Chen

引用次数: 0

Calculation of Series Resonance Frequencies in Electrical Grids Using Resonance Mode Analysis 用共振模态分析法计算电网串联谐振频率

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994810

Alexander Neufeld, Daniel Heide, L. Hofmann

引用次数: 1

Experience in Asset Performance Management Analytics for decision support on Transmission & Distribution Assets 具有资产绩效管理分析经验，为输配电资产提供决策支持

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994622

Ravinder Negi

{"title":"Experience in Asset Performance Management Analytics for decision support on Transmission & Distribution Assets","authors":"Ravinder Negi","doi":"10.1109/APPEEC45492.2019.8994622","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994622","url":null,"abstract":"As a response to the continuous pressure for reducing costs while maintaining or even improving the reliability of the network, the Asset Performance Management process (APM) brings concrete solutions by optimizing the maintenance and replacement decisions on assets.At the strategic level, there is usually a fair understanding that smarter maintenance and asset management strategies can generate significant added value. However, moving from the “time-based” to “condition-based” and “reliability centered” maintenance requires a systematic approach on asset decisions using asset condition data and asset criticality.Thanks to the recent advance in various data collection techniques, analytics and data science, the tools and methodology to build advanced analytics and support effectively the decisions are now available. With those analytics, long term asset replacement perspective and shorter-term interventions are now based on concrete figures. Links to the OPEX & CAPEX financials are also done so that the user can set the right priorities for the network.The paper presents the return on experience from the implementation of an APM decision support system on Transmission Assets, compliant with ISO 55000 recommendations.Finally, the paper shows that such APM methodology and solutions can generate significant Reliability improvements with an excellent Return on Investment.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132720324","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

The Hardware Implementation of FPGA-Based Electromagnetic Transient System for New Energy Components 基于fpga的新能源元件电磁瞬变系统硬件实现

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994406

L. Xie, Y. Xiang, Q. Mu, Qing Mu

{"title":"The Hardware Implementation of FPGA-Based Electromagnetic Transient System for New Energy Components","authors":"L. Xie, Y. Xiang, Q. Mu, Qing Mu","doi":"10.1109/APPEEC45492.2019.8994406","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994406","url":null,"abstract":"Electromagnetic transient (EMT) simulation plays an important role in modern power grids. Field-programmable gate array (FPGA) has become an important platform for EMT real-time simulation due to its special parallel structure. However, the introduction of new components on the existing EMT system requires high design efforts using hardware description language(HDL). To address this problem, this paper proposes a hybrid design method that combines the high-level synthesis (HLS) technology with a python platform to accelerate the procedure. The HLS technology is adopted to implement the calculation module of the new component so that the development time can be reduced. In addition, the python platform is designed to realize the coarse-grained optimization strategies and generate the top-level module of the updating subsystem automatically. Moreover, the doubly fed induction generator (DFIG) has been taken as an example to be introduced to the existing FPGA EMT system using the proposed method, the result demonstrates that this method not only shortens the development time, but also obtains high-performance hardware.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134508502","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

Distributed Optimal Active Power Control of a Wind Farm based on Fast ADMM 基于快速ADMM的风电场分布式最优有功功率控制

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994815

Mingzhe Han, Haoran Zhao, Zhan’ao Lv, L. Niu

引用次数: 1

Identification of Solar PV Array Partial Shading Patterns using Machine Learning 利用机器学习识别太阳能光伏阵列部分遮阳模式

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994360

Nicholas Gabriel T. Ramirez, E. Q. B. Macabebe

{"title":"Identification of Solar PV Array Partial Shading Patterns using Machine Learning","authors":"Nicholas Gabriel T. Ramirez, E. Q. B. Macabebe","doi":"10.1109/APPEEC45492.2019.8994360","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994360","url":null,"abstract":"Mismatch losses due to partial shading can limit the energy generation of solar photovoltaic (PV) systems. Isolating the shaded PV modules through electrical reconfiguration can potentially improve the power output of the PV array. To do this, the shaded modules need to be identified before the PV array can be reconfigured to produce the optimum output power. In this study, an algorithm was developed to identify the partial shading pattern of a PV array using machine learning. Measurements from the current sensor integrated into the switching circuit of each module and the solar irradiance from a pyranometer were utilized as input to the machine learning algorithm.The algorithm was trained using the voltage and current readings of an off grid PV system composed of nine 10-W PV modules arranged in a 3 $times$ 3 array in series-parallel configuration. Three machine learning techniques were used, namely SVC, Random Forest, and K-Nearest Neighbors, resulting in 80 %, 86 %, and 66 %, respectively, in terms of accuracy, precision, recall, and f-1 score. Thus, the Random Forest algorithm was found suitable for this type of problem as it can reliably distinguish the shading patterns on the array.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133307486","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

Mobile Energy Storage Scheduling for AC-DC Microgrids Enabling Low-carbon Airport 面向低碳机场的交直流微电网移动储能调度

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994604

Mingjuan Wang, You-bo Liu, Junyong Liu, Y. Tao, Weiting Xu, Jing Gou

引用次数: 4

An Iterative Approach to FACTS Set Point Optimization in Day-Ahead Generation Scheduling 日前发电调度中FACTS设定点优化的迭代方法

2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) Pub Date : 2019-12-01 DOI: 10.1109/APPEEC45492.2019.8994600

K. Cheung, Jun Wu

引用次数: 0