2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)最新文献_第2页

SEGE 2021 Cover Page SEGE 2021封面

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/sege52446.2021.9535080

引用次数: 0

Fast Frequency Response Using Model Predictive Control for A Hybrid Power System 基于模型预测控制的混合电力系统快速频率响应

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9534981

Abhishek Varshney, Renuka Loka, A. M. Parimi

{"title":"Fast Frequency Response Using Model Predictive Control for A Hybrid Power System","authors":"Abhishek Varshney, Renuka Loka, A. M. Parimi","doi":"10.1109/SEGE52446.2021.9534981","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9534981","url":null,"abstract":"Large-scale penetration of Renewable Energy Sources (RESs) in Hybrid Power Systems (HPSs) consists of predominantly asynchronously interfaced sources. Asynchronous interconnection of RESs is made possible by using Power Electronic Converters (PECs); however, it subsequently reduces the system inertia due to less rotational mass. The decrease in system inertia causes a high Rate of Change of Frequency (RoCoF). Consequently, frequency control becomes challenging with high RoCoF. To maintain the frequency at a nominal value, the power balance between the load and generation is necessary. The excess or deficit in power from RES is uncertain, and stochastic load disturbances should match generation and storage changes. Owing to high RoCoF, the response of the system to maintain power balance should be obtained within a minimum time. Therefore, Fast Frequency Response (FFR) using the available reserves is of prime significance. This paper addresses the FFR problem by proposing a modified Model Predictive Control (MPC) by introducing RoCoF in the objective function to achieve FFR using primarily Fuel Cell (FC) storage in a Hybrid Power System (HPS). The modified MPC controller's performance is compared with the conventional PID and MPC controllers by testing the dynamic model for both situations - i) constant step and ii) random load fluctuations and wind disturbances using MATLAB/Simulink. Simulation results under various cases show that the proposed MPC has improved the performance parameters (settling time, peak overshoot, and peak-peak magnitude) of the step response.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133511148","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

Using Critical Slowing Down Features to Enhance Performance of Artificial Neural Networks for Time-Domain Power System Data 利用临界慢化特征增强人工神经网络处理时域电力系统数据的性能

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535027

Austin Lassetter, E. Cotilla-Sánchez, Jinsub Kim

{"title":"Using Critical Slowing Down Features to Enhance Performance of Artificial Neural Networks for Time-Domain Power System Data","authors":"Austin Lassetter, E. Cotilla-Sánchez, Jinsub Kim","doi":"10.1109/SEGE52446.2021.9535027","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535027","url":null,"abstract":"This paper explores deep learning approaches to event classification on real world time-domain power system data. We use a statistical method to measure a physical phenomenon known as critical slowing down (CSD) and use this as a feature engineering preprocessing framework to localize events from large intervals of data. Several previous works have discussed power system event detection, including statistical methods like correlation, Principal Component Analysis (PCA) reconstruction, and local outlier factor search. This work aims to improve upon the statistical methods that have been linked to high-sample rate time-domain event detection and then will be evaluated using artificial neural networks. To evaluate how well CSD localizes events from non-events in high sample rate time-series data, we used a Z-score function to predict the time of an event and extract a six second interval centered around the prediction. The performance of CSD-applied data against the raw data was then compared using two ANN architectures: the Fully Convolutional Network (FCN) and the Residual Neural Network (ResNet). The results of both architectures demonstrate that applying CSD to the data significantly improves event localization for larger data intervals, thus signifying an improvement in event detectability.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133758284","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

Utility Scale Battery as Capacity Source for Electric Grid Systems 作为电网系统容量源的公用事业规模电池

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535072

Omid Pourkhalili, R. Sawhney, S. A. Biyouki, H. Parsian

{"title":"Utility Scale Battery as Capacity Source for Electric Grid Systems","authors":"Omid Pourkhalili, R. Sawhney, S. A. Biyouki, H. Parsian","doi":"10.1109/SEGE52446.2021.9535072","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535072","url":null,"abstract":"United States Federal Energy Regulatory Commission passed order No. 841 in 2018 that requires energy market operators in their jurisdiction to allow storage resources to be utilized as capacity source. A literature review is performed on grid systems day-ahead order estimates and real-time demand scenarios from the supply chain perspective. We consider an electric grid system integrated with utility scale battery storage to maintain supply and demand balance during the the peak hours, when grid encounters with the most fluctuated demands. Having integrated lithium-ion batteries with grid systems as potential capacity source, meets the real-time demand with minimum real-time orders. Integration of battery storage responds to day-ahead order error through different services such as ancillary and transmission deferral. It consequently minimizes the use of fossil fuels and low efficient real-time power generation emission. We defined all involved resources during the real-time power supply and translated them to mathematical transitions. Then we used a Polynomial linear regression to find a model that describes nonlinear relationship between demand and time. The aforementioned model can be used and simulated for the grid systems aim to implement and integrate the utility scale batteries as capacity source to compensate part or all of real-time orders. The required capacity size is adjustable for different users and their system characteristics such as demand and power dispatch time periods.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134015475","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

Modular Bidirectional Converter with Multiple Power Sources for Fast Charging of Electric Vehicles 面向电动汽车快速充电的多电源模块化双向变换器

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535008

Abdalrahman Elshora, Y. Elsayed, H. Gabbar

引用次数: 0

Case Study on Effect of Transformer Rating on Impulse Voltage Distribution in Windings 变压器额定电压对绕组冲击电压分布影响的实例研究

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535007

Harmanpreet Singh Sekhon, Pawan Rathore, Vaman Dommeti

{"title":"Case Study on Effect of Transformer Rating on Impulse Voltage Distribution in Windings","authors":"Harmanpreet Singh Sekhon, Pawan Rathore, Vaman Dommeti","doi":"10.1109/SEGE52446.2021.9535007","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535007","url":null,"abstract":"The design of Power transformers are basically governed by certain vital parameters: Transformer rating in kilo Volt Amperes (kVA), frequency, Voltage ratings and ratio, tapping range, Impedance values, Losses, Temperature rises, Insulation levels, Sound levels etc. The domain of this paper is specifically focused on difference in winding design of same voltage class based on different kVA ratings of transformer. The major change is related to design and type of high and intermediate voltage windings with respect to impulse voltage distribution characteristics across windings. The impulse voltage distribution which is initially based on series and ground capacitance of windings is relatively more non-linear for Low kVA transformers as compared to high kVA transformers for same voltage classes. The results of impulse distribution validating relatively poor safety margins for intermediate voltage winding in low kVA transformer have been discussed. The challenges and results are based on example of 10,000 kVA 225/132/33kV Power Transformer taking reference of 132kV winding and comparison has been established with 60,000 kVA Power Transformer of same voltage class.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123592727","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

Title Page 标题页

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/sege52446.2021.9534944

引用次数: 0

Design of a Smart Controller Agent for Demand-Side Management with Low Payback Effect 低回报需求侧管理智能控制器代理的设计

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535058

Pegah Yazdkhasti, C. Diduch

{"title":"Design of a Smart Controller Agent for Demand-Side Management with Low Payback Effect","authors":"Pegah Yazdkhasti, C. Diduch","doi":"10.1109/SEGE52446.2021.9535058","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535058","url":null,"abstract":"With high penetration of renewable resources such as wind and solar into conventional electric grid, new challenges are introduced due to the rapid fluctuation on the generation side. Direct load control of thermostatically controlled loads can play a significant role in demand side management (DSM) to cope with the uncertainties and variabilities of the generation. For this purpose, the system operator (SO) requires a reliable forecast of the demand and how much it can be shifted; in order to produce attainable desirable set points to reshape the demand to follow generation side. The focus of this paper is on designing a smart agent that uses a hybrid system of a model-based and a model-free structure to forecast the controllable load and its capacity to be reshaped, and follow the dispatch instructions of the SO, while minimizing the payback effect of the control actions and maintaining customers’ comfort. The main advantages of the proposed system are: 1) real-time model creation; thus, no need for historical data for training, 2) model free controller can automatically adapt to the changes in the system, 3) it can be used as a plug & play component in a DSM program. To evaluate the performance of the proposed controller, a numerical simulator was developed, and the controller was applied over the simulation engine to follow arbitrary desired power profiles. It was observed that the system can follow the dispatch command in less than 5 minutes with a negligible steady state error (less than 5%).","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134112200","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

Stability Analysis of a Remote DC Subgrid/Microgrid Connected to a Very Weak AC Grid 与极弱交流电网连接的远程直流子电网/微电网稳定性分析

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9534971

S. Rezaee, A. Radwan, M. Moallem, Jiacheng Wang

{"title":"Stability Analysis of a Remote DC Subgrid/Microgrid Connected to a Very Weak AC Grid","authors":"S. Rezaee, A. Radwan, M. Moallem, Jiacheng Wang","doi":"10.1109/SEGE52446.2021.9534971","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9534971","url":null,"abstract":"Instability issues can arise due to the high penetration of remote voltage source converter (VSC)-interfaced DC microgrid (MG) to the ac weak grid (WG), in which the grid impedance is large. This is due to the dynamic interaction between the VSCs and the WG impedance. In this work, a small-signal analysis is conducted to derive the full-order linearized model of the VSC-WG interconnection. Furthermore, a participation factor analysis is presented to identify the effect of varying the grid impedance on the VSC-WG dominant modes in the inversion and rectification modes of operation. It is found that although the system is initially stable in both modes, it tends to move toward the unstable region when the grid impedance increases. In this study, the initial locations of the corresponding dominant eigenvalues are fairly similar for both modes. However, unlike previous works, it is shown that the dominant modes in the rectification mode are much more sensitive to the grid impedance variation than the inversion mode. Time-domain simulations are conducted on a 7.25 MW dc MG which is interfaced to the ac grid via a VSC system to verify the validity of small-signal analysis in both modes.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129306603","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

Environmental Assessment of Digital Infrastructure in Decentralized Smart Grids 分布式智能电网中数字基础设施的环境评价

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535061

Daniela Wohlschlager, Anika Neitz-Regett, Bastian Lanzinger

{"title":"Environmental Assessment of Digital Infrastructure in Decentralized Smart Grids","authors":"Daniela Wohlschlager, Anika Neitz-Regett, Bastian Lanzinger","doi":"10.1109/SEGE52446.2021.9535061","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535061","url":null,"abstract":"This paper examines the life cycle-based direct environmental impact of information and communication technology (ICT) in German smart grids. Specifically, it explores the global warming potential associated with smart metering infrastructure and the use case of decentralized flexibility markets. Results show an annual footprint of 513,679 t CO2-eq. for the intelligent metering infrastructure expected in low-voltage levels by 2030. Digitalization measures required for a household to provide flexibility from decentralized assets cause approx. 27 to 43 kg CO2-eq. per household and year. Given the marginal data volume associated with the use case, the operation and production phases of hardware cause the greatest impact. Accordingly, considerable reduction potentials lie in decarbonizing the electricity mix and ensuring high energy efficiency and longevity of components. As more data-intensive use cases emerge, the method provided in this paper enables further environmental assessments of direct effects and the derivation of recommendations for a sustainable technical design. First qualitative estimations of indirect environmental effects indicate the need for subsequent research in the context of smart grids, including behavioral research and energy system modeling approaches.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115037267","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