{"title":"Research on Harmonic Influence of Electric Vehicle Wireless Charging System on Power Grid","authors":"F. Wen, Qiang Li, Li Liu, Rui Li, Tao Wu","doi":"10.1109/ISGT-Asia.2019.8881333","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881333","url":null,"abstract":"With the government's promotion of the electric vehicle (EV), the EV industry will enter a period of rapid development, which will greatly promote the construction of electric vehicle charging piles and wireless charging devices. The charging behavior of a large number of electric vehicles will induce harmonic pollution to the power grid caused by wireless charging. In this paper, we establish a model of WPT charging system for EVs and study the impact of the system on the power grid under the condition of resonant, capacitive and inductive. Fast Fourier Transform (FFT) is performed on the voltage waveforms of the grid side to analyze the harmonic pollution on the grid side when the system works at different power levels.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121763789","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}
L. Zhang, Z. Jing, F. Auger, Xinglei Han, Sarra Houidi, H. Bui
{"title":"Abrupt Change Detection of Home Electrical Appliance Signals Using Mathematical Morphology Gradient","authors":"L. Zhang, Z. Jing, F. Auger, Xinglei Han, Sarra Houidi, H. Bui","doi":"10.1109/ISGT-Asia.2019.8881110","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881110","url":null,"abstract":"This paper presents an Abrupt Change Detection (ACD) algorithm based on Mathematical Morphology Gradient (MMG) for Non-Intrusive Load Monitoring (NILM). In the present research of MMG, it is focused on filtering the original signals rather than locating change points. Therefore, this paper considers this approach to detect abrupt changes. For the purpose of evaluating the performance of different algorithms, the True Positive Rate (TPR) and the F-score are employed in this paper. The simulation studies have been carried out on low-frequency signals and high-frequency signals from the Reference Energy Disaggregation Data Set (REDD) respectively. The MMG algorithm, which has the advantages of high accuracy and fast calculation speed, is superior for both two types of signals. In addition, it can provide not only the information of the position of a change but also the direction of a change. The results demonstrate that the MMG algorithm shows better performance than the CUmulative SUM (CUSUM), the Bayesian Information Criterion (BIC) and the Generalized Likelihood Ratio (GLR) algorithms.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122452186","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":"Electric spring control based on intelligent controller and cascade second-order generalized integrator phase locked loop","authors":"Yuqi Zheng, J. Long, Haoyan Yang","doi":"10.1109/ISGT-Asia.2019.8881560","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881560","url":null,"abstract":"Electric Spring (ES) is proposed to adapt the power consumption to the changes of power generation, so as to effectively alleviate the power quality problems caused by power imbalance in power grid and ensure the stable operation of key loads. Generally, the ES uses second-order eneralized integrator phase locked loop (SOGI-PLL) to track the voltage and frequency of power grid, and uses proportional-integral (PI) controller to stabilize the critical load (CL) voltage. However, for microgrids with large voltage and frequency fluctuations, the conventional ES control method is difficult to stabilize the CL voltage quickly and accurately. To solve this problem, an ES control method based on cascade second-order generalized integrator phase locked loop (CSOGI-PLL) and simplified brain emotional learning based intelligent controller (BELBIC) is proposed in this paper. By using the frequency adaptive tracking characteristic of CSOGI-PLL, the ability of ES to stabilize CL voltage in power grid with large frequency variation is improved. An ES control method based on simplified BELBIC is proposed, which uses its self-learning ability to automatically adjust control parameters and improve the control speed of ES. To verify the feasibility of the proposed scheme, the ES is modeled and simulated by MATLAB/Simulink and verified by dSPACE platform. The results show that the method is effective and feasible.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"80 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121206069","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}
Kai Lv, Fei Wang, Jianfeng Che, Weiqing Wang, Z. Zhen
{"title":"A novel solar irradiance forecast model using complex network analysis and classification modeling","authors":"Kai Lv, Fei Wang, Jianfeng Che, Weiqing Wang, Z. Zhen","doi":"10.1109/ISGT-Asia.2019.8881584","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881584","url":null,"abstract":"The output power of solar photovoltaic (PV) plant is mainly determined by the received solar irradiance of the solar PV panels. Therefore, for step wise PV power forecast methods, the accuracy of solar irradiance forecast is very important. However, the diversity of irradiance fluctuation patterns brings great challenges to PV power predictions and limits the application of existing forecast models. In this paper, a novel solar irradiance forecast model of ultra-short-term time scale is proposed, which using complex network analysis to identify the irradiance and classification modeling to realize classified forecast of irradiance. Firstly, 4 irradiance fluctuation patterns are defined according to the local historical irradiance data, then 4 BP neural networks (BPNN) are built and trained respectively using these data of different fluctuation patterns. Secondly, each four-hour irradiance series is transformed into complex network based on weighted horizontal visibility algorithm (WHVG), then three complex network features are extracted to analysis not only the time series characteristics but also the network topology of irradiance data sequence. Thirdly, the support vector machine (SVM) is used to identify the irradiance fluctuation pattern with complex network features, and the corresponding BPNN is applied to forecast the future irradiance. The accuracy of irradiance pattern identification and the subsequent classified ultra-short-term irradiance forecast are verified by simulation with two-years actual irradiance data in Mississippi, US.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127770671","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":"Virtual Power Plant Optimization Decision Method Considering the Interaction Between Combined Cooling-Heating and Power and Electric Heating Equipment","authors":"Kuang Honghui, Guo Shao-qing, NI Hui","doi":"10.1109/ISGT-Asia.2019.8880905","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8880905","url":null,"abstract":"The energy Internet revolution has greatly improved users’ flexibility in using energy. The extensive use of electric heating equipment(EHE), combined cooling heating and power(CCHP) and many other equipment enables the flexible conversion of different types of energy at the user side, which has widened the regulation scope for virtual power plant(VPP) in participating in the demand response of large power grid. In this paper, a flexible operation technology framework of VPP considering the interaction between CCHP and EHE is proposed and the operation characteristics of CCHP and EHE are emphatically introduced. Then an optimal decision model for VPP considering the interaction between CCHP and EHE is proposed which could fully satisfy the user's comprehensive energy demand and aims at maximizing the operation efficiency of VPP. Finally, a case study based on the actual data of an industrial park in China is used to prove the validity of the proposed method.1","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128119392","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}
Jens Priebe, Niklas Wehbring, Hao-Bo Chang, A. Moser, H. Çakmak, U. Kühnapfel, V. Hagenmeyer
{"title":"Exploiting Unused Capacity in the Grid","authors":"Jens Priebe, Niklas Wehbring, Hao-Bo Chang, A. Moser, H. Çakmak, U. Kühnapfel, V. Hagenmeyer","doi":"10.1109/ISGT-Asia.2019.8880909","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8880909","url":null,"abstract":"Different challenges due to the energy transition lead to higher loadings of the existing grid infrastructure in the transmission grid as well as in the distribution grids. The consequences are increasing costs for grid expansion, redispatch and curtailment in the German grids. Therefore, different new technologies and approaches aiming at a better utilization of grid infrastructure are actually proposed and realized: in this light, this paper gives a literature review and summary of the state of research concerning planned or applied technologies to optimize grid operation. Thereafter, this paper provides a comprehensive overview of the German transmission and distribution grid infrastructure utilization based on simulations as well as on real measurements. Theoretical potentials and thus unused capacities are discussed. Requirements and challenges in the field of information and communication technology, automated grid operation, monitoring the current grid state, and control concepts are discussed.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132968193","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}
A. Alahmed, Salman U. Taiwo, M. Abido, M. Almuhaini
{"title":"Intelligent Flexible Priority List for Reconfiguration of Microgrid Demands Using Deep Neural Network","authors":"A. Alahmed, Salman U. Taiwo, M. Abido, M. Almuhaini","doi":"10.1109/ISGT-Asia.2019.8881363","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881363","url":null,"abstract":"The mounting demand on electrical energy and the surge of new forms of loads such as electric vehicles have added extra challenges to the current picture of the power systems. Generally more failures are occurring in the system and the largest portion of these faults come from the distribution network. The concept of the microgrid is considered to be a solution to this issue. Microgrids should achieve smart and robust load restoration, in which a decision is made on which load should be supplied first and what are the loads that follow. In this paper, a smart, dynamic load priority list will be modeled using artificial neural network (ANN), where different categories of loads such as residential, commercial, industrial and hospital will be prioritized for restoration based on the given time, reliability indices and amount of available energy. The ANN based priority list showed exceptional results in terms of flexibility and understanding of the current energy and reliability status. The results can be further used as an input direct load control functions to intelligently determine which loads should be curtailed and which ones are uninterruptible.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127794710","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":"Research on Improving the Operation Stability of Wind Farms Connected to Power Grid by Using VSC-HVDC Containing SMES","authors":"Ziwei Tan, Yujia Zhai, Feng Wang","doi":"10.1109/ISGT-Asia.2019.8881804","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881804","url":null,"abstract":"Due to the volatility and intermittent nature of wind energy, the impact of wind power access on the stable operation of the power grid is particularly prominent. In this paper, this problem can be solved by using VSC-HVDC technology containing superconducting magnetic energy storage (SMES). SMES is connected in parallel on the DC bus of VSC-HVDC system. According to the mathematical model of VSC-HVDC system in d-q synchronous rotating coordinate system and PWM technology, the direct current control strategy of converter station and SMES is designed. In PSCAD/EMTDC, a simulation model of wind farm with asynchronous wind turbines connected to the grid via SMES and VSC-HVDC system is built. The simulation results show that the topology and control strategy proposed in this paper can not only effectively smooth the wind power fluctuation, but also improve the transient stability of the wind farm.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114111453","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":"Distributed Economic Dispatch for Active Distribution Networks with Virtual Power Plants","authors":"Q. Lu, Yinguo Yang, Yu Zhu, Tong Xu, Wenchuan Wu, Jiaqi Chen","doi":"10.1109/ISGT-Asia.2019.8881396","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881396","url":null,"abstract":"With the growing penetration of distributed energy resources (DERs) such as renewable energy generators, battery storages and controllable loads, virtual power plant (VPP) has become the promising solution for flexible energy management in active distribution networks (ADNs). This paper presents an alternating direction method of multipliers (ADMM)-based distributed economic dispatch (ED) strategy for ADNs with multiple VPPs. The proposed scheme is suitable for three-phase unbalanced system considering network constraints. Each VPP exchanges limited boundary information with distribution system operator (DSO) protecting data privacy. Numerical tests validate the effectiveness of the proposed method.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124628535","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}
Liming Chen, Xuzhu Dong, Xiaoyun Kuang, Baoren Chen, Dan-Ke Hong
{"title":"Towards Ubiquitous Power Distribution Communication: Multi-service Access and QoS Guarantees for IoT Applications in Smart Grid","authors":"Liming Chen, Xuzhu Dong, Xiaoyun Kuang, Baoren Chen, Dan-Ke Hong","doi":"10.1109/ISGT-Asia.2019.8881751","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881751","url":null,"abstract":"Power distribution demands for a ubiquitous communication network to enable the emerging Internet of Things (IoT) applications in Smart Grid. This paper focuses on the problem of the provisioning of multi-service access and quality of service (QoS) guarantees. A priority-queue-controlled multi-service access mechanism is proposed to carry various services including telemetering, remote control and sensor data transmission. Meanwhile, QoS guarantee schemes are proposed to provide reliable communication channel for remote control and smart metering services through data caching and link handover. Experiments are carried out to evaluate the effectiveness of the proposed scheme.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131922292","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}