{"title":"A Novel Type of Dynamic Wireless Power Transferred Scooter System with EDLC Storage Unit","authors":"Taisei Ando, H. Omori, N. Kimura, T. Morizane","doi":"10.1109/APPEEC45492.2019.8994349","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994349","url":null,"abstract":"This paper focuses on a dynamic wireless power transferred electric scooter system using an electric double-layer capacitor (EDLC) unit. The newly developed motorcycle system is highly efficient, user friendly, and offers a solution to global environmental problems. Described is a newly developed EDLC scooter system with Dynamic Wireless Power Transfer (DWPT) as a next generation mobility concept for further diffusion of electric scooters. One of the important problems of the DWPT system is the charge and discharge cycle life of the storage device on the electric scooter. The Li-ion battery, which is widely used in EVs etc., has a limit of about 4,000 cycles. EDLCs, whose life performance is superior by far to conventional batteries, are applied for the new DWPT scooter as a power supply unit. A prototype using DD coils and a current controlled SEPP inverter has been designed. Experimental results are discussed from a practical point of view.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"22 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":"123347684","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}
Israjuddin, N. Hariyanto, Lai Chao-Yuan, Li Chih-Wen
{"title":"Optimal Placement of Energy Storage with Synthetic Inertia Control on a Grid with High Penetration of Renewables using Mean-Variance Mapping Optimization","authors":"Israjuddin, N. Hariyanto, Lai Chao-Yuan, Li Chih-Wen","doi":"10.1109/APPEEC45492.2019.8994698","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994698","url":null,"abstract":"Modern power systems have evolved, from classical type of synchronous generation to more distributed non-synchronous generation with power electronic-based, some country is dealing with high penetration of renewable energy sources (RESs) such as photovoltaic and wind turbines. However, this new generation model does not have natural inertia and damping properties, which is a classic feature of synchronous machines. The lack of system inertia in such power system has mainly two implications on system frequency stability, namely: higher frequency deviations (nadirs/zeniths); and larger ROCOF, which results in possible tripping of grid components. Many researchers have shown how to use inverters and energy storages with synthetic inertia control algorithms; by then, it will be recognized as synchronous generators by power grids, maintain and improve frequency stability. This paper aims to show the process of identifying the optimal placement of energy storage with SIC in order to improve frequency stability in a high RESs penetration power system using Mean-Variance Mapping Optimization (MVMO) algorithm.","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":"123372538","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}
{"title":"Study on Radio Interference of ±1100 kV Converter Station","authors":"Jingqiu Yu, Zheng Xu, B. Yue, Xuan Li","doi":"10.1109/APPEEC45492.2019.8994537","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994537","url":null,"abstract":"During the operation of the Ultra-high Voltage DC (UHVDC) transmission project, the radio interference (RI) occurs due to the ignition of the converter valve. If not properly controlled, it will adversely affect the surrounding radio reception. Relying on ±1100 kV Zhundong-Wannan UHVDC project, the wideband model of the converter valve, the transformer, the filter and other equipment is established. And then, the research and calculation of RI levels of the converter station is carried out. The applicability of the radio interference limit of ±500 kV project for ±1100 kV converter station is also checked. The results show that when RI filter is properly installed, the total RI levels of the converter station, the RI levels of the AC line, DC line and neutral line are below the limit. Therefore, the radio interference limit of the ±500 kV converter station can be used as the radio interference limit for ±1100 kV converter station.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"27 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":"123184731","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}
{"title":"Short-term wind power forecasting based on BOMLS K-means similar hours Clustering method","authors":"Gang Wang, Liang Jia","doi":"10.1109/APPEEC45492.2019.8994469","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994469","url":null,"abstract":"With the continuous development of wind power in the world, the accuracy and stability of wind speed and power prediction are very important for the economic operation and safety management of power system. The proposed method consists of hybrid clustering method and ensemble learning method. Hybrid clustering method combines the advantages of equal-length and unequal-length segmentation. Sample segments with the same trend can be clustered regardless of whether they are equal in length. The selection of segmentation points can be optimized by Bayesian algorithm, which can accelerate the K-Means clustering speed and efficiency. Ensemble learning can combine multiple weak learners into a strong learner. Finally, the data from a wind farm in southern China show that the wind power forecasting method based on the above method is more effective than the single learning model method.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"27 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":"121890887","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}
{"title":"Load Frequency Control in Microgrid with CHP Based on Generalized Predictive Control","authors":"Bo He, Yang Wang, Xin Wang, Jun Yang","doi":"10.1109/APPEEC45492.2019.8994625","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994625","url":null,"abstract":"Considering the application of combined heat and power (CHP) systems and distributed generations (DGs) in microgrid, the load frequency control (LFC) is crucial. In this paper, a typical microgrid architecture with CHP system, electric vehicles, controllable load and DGs is proposed. Based on the principle of CHP system, the relationship between thermal load demand and electric power supply is analyzed and the equivalent LFC model is established. Then, the LFC model of the entire microgrid is established and its state-space equation is obtained. The generalized predictive control is used as the load frequency controller algorithm, and the effectiveness and robustness with respect of the changes of the thermal load and the variation of the system parameters are demonstrated, compared with traditional proportion integration (PI) controller.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"31 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":"121894594","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}
{"title":"Herding Behavior of Electricity Retailers in the Monthly Electricity Market: Model and Simulation","authors":"Fen Lin, Junjie Wei, Xiao-hui Ren, Yue Yao, Ying Wang, Kaifeng Zhang","doi":"10.1109/APPEEC45492.2019.8994680","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994680","url":null,"abstract":"With the reformulation of the electricity market in China, the electricity retailers can buy the electricity from the electricity market. Recently, herding behaviors in the electricity retailers are commonly observed when they bid in the monthly electricity market. The herding behaviors may bring many unstable risks to the electricity market. This paper mainly studies the impacts from the herding behaviors of electricity retailers on the monthly electricity market. We model the herding behavior model mathematically based on the relationship network of electricity retailers. Then the herding behavior model is imbedded into an electricity market model with agent-based bidding model based on reinforcement learning. We carry on a systematic simulation on MATLAB, and the simulation results illustrate that the herding behaviors might bring positive or negative effects to electricity retailers depending on different bidding strategies.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"25 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":"122104828","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}
{"title":"The Discrete-Time Model Following Controller for a Virtual Synchronous Generator","authors":"A. Umemura, R. Takahashi, Junji Tamra","doi":"10.1109/APPEEC45492.2019.8994476","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994476","url":null,"abstract":"As the penetration level of variable-speed wind turbines continues to increase, the low inertia and lack of synchronous power characteristics of such devices can have a serious impact on the transient stability of a grid. One solution toward stabilizing such a grid with renewable energy sources is to provide additional inertia and synchronizing power in a virtual manner. We proposed a discrete-time model following controller for a virtual synchronous generator. In this paper, we compared the proposed method with the conventional method of using PI current controller. It is shown that proposed method accurately follows the virtual synchronous generator machine model.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"25 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":"122149815","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}
Shi Jintao, Gu Chaoyue, Sun Hui, Shen Jiangang, Li Zhe
{"title":"Data Expansion for Foreign Object Detection in Power Grid","authors":"Shi Jintao, Gu Chaoyue, Sun Hui, Shen Jiangang, Li Zhe","doi":"10.1109/APPEEC45492.2019.8994654","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994654","url":null,"abstract":"There have been some researches on the use of deep learning algorithm in the work of power patrol inspection. With some current object detection algorithms as the core, a power grid image recognition system can be built to detect abnormal operation or foreign invasion in the power grid, which could save manpower and material resources and improve the security of the power grid. Deep learning requires a number of effective samples to work. There are few real images of hidden dangers, which cannot meet the demand. This paper aims to explore a feasible data expansion scheme. One possible way is to merge the target with the context background image according to some rules. Another method is to generate samples via GAN (Generative adversarial network). Experiments results show that the performance of the power grid image recognition system is improved by using the extended training set.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"19 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":"122898169","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}
{"title":"Improved Finite Set Model Predictive Current Control of Grid Side Converter in Weak Grid Using Kalman Filter","authors":"Liang Chen, Yunyang Xu, Nian Heng","doi":"10.1109/APPEEC45492.2019.8994685","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994685","url":null,"abstract":"When GSC is connected to weak grid, the small signal instability can happen due to incompatible terminal characteristic of GSC and the grid impedance. Since higher disturbance rejection capability of GSC benefits the resolving of such stability problem, finite set model predictive control (FS-MPC) is applied. However, in weak grid, conventional FS-MPC shows poor performance as the total harmonic distortion (THD) of GSC output current is too high. To solve the problem, Kalman filter (KF) is used. The filtered signals are fed into the predictive controller instead of the directly measured current and voltage, which significantly reduce the harmonic distortion of GSC output current in the middle frequency range around 300~600Hz. Besides, in order to reduce the THD of output current, a three-level neutral point clamped (3L-NPC) grid side converter (GSC) is used. A simple sequential finite set prediction is applied to reduce the computational burden. The performance of proposed strategy is verified by simulation. Moreover, the impedance characteristic of the proposed MPC controller is presented, which is obtained by the perturbation test. From impedance viewpoint, the stability performance of proposed method in weak grid is analyzed, which is found promising.","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":"130016275","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}
Yuhao Cao, Tengpeng Chen, X. Qing, Jingrui Zhang, Lu Sun
{"title":"Energy Management for a Microgrid With Different Charging and Discharging Priorities of Batteries Using Modified Grey Wolf Optimizer","authors":"Yuhao Cao, Tengpeng Chen, X. Qing, Jingrui Zhang, Lu Sun","doi":"10.1109/APPEEC45492.2019.8994536","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994536","url":null,"abstract":"Energy management plays an important role in the efficient and reliable operation of microgrid with various distributed energy resources. In this paper, the energy management of an isolated microgrid involving two batteries and other distributed energy resources such as photovoltaic, wind turbine and diesel generator is presented. For obtaining a better energy management, a modified grey wolf optimizer is proposed to determine the optimal power schedule plan of a microgrid. Moreover, different charging and discharging priorities of the two batteries result in operation cost and the equivalent pollutant gas emissions are investigated so as to obtain a more economic operation strategy. Simulation results show a good reduction in operation cost and pollution emissions as well verify the effectiveness of our proposed approach.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"61 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":"129286927","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}