2021 6th IEEE Workshop on the Electronic Grid (eGRID)最新文献_第2页

Fault Characteristics Analysis on 56-Bus Distribution System with Penetration of Utility-Scale PV Generation 公用规模光伏发电渗透56母线配电系统故障特征分析

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662143

Biqi Wang, R. Burgos, Ye Tang, B. Wen

{"title":"Fault Characteristics Analysis on 56-Bus Distribution System with Penetration of Utility-Scale PV Generation","authors":"Biqi Wang, R. Burgos, Ye Tang, B. Wen","doi":"10.1109/eGRID52793.2021.9662143","DOIUrl":"https://doi.org/10.1109/eGRID52793.2021.9662143","url":null,"abstract":"With the dramatic transition in distribution power systems from centralized fossil-based power plants to distributed energy resources (DERs), the system fault characteristics, especially the fault current profile, is likely to undergo some considerable changes, which may impose a negative effect on the dependable operation of system protective relays and complicate the design and configuration of protection schemes. This paper has studied the impacts of a high penetration level of inverter-based photovoltaic (PV) generations on a 56-bus distribution feeder under short-circuit faults, with the PV inverter control scheme in compliance with the IEEE Standard 1547–2018. The power system fault responses under both the PV inverter grid-following control mode and the grid-forming control mode were discussed. The fault current profile was analyzed under various different fault scenarios, including both three-phase and single-phase faults, under different fault severity and at different DER relative locations. The potential issues in distribution system overcurrent relay caused by the fault current contribution from utility-scale DERs are also stated.","PeriodicalId":198321,"journal":{"name":"2021 6th IEEE Workshop on the Electronic Grid (eGRID)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116709803","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: 4

Flexible Power Point Tracking for Active Power Regulation in String-Inverter PV Plants with Power Optimizers 基于功率优化器的串逆变光伏电站有功功率调节柔性功率点跟踪

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662160

N. Muller, Jorge Barria, L. Reyes-Chamorro

{"title":"Flexible Power Point Tracking for Active Power Regulation in String-Inverter PV Plants with Power Optimizers","authors":"N. Muller, Jorge Barria, L. Reyes-Chamorro","doi":"10.1109/eGRID52793.2021.9662160","DOIUrl":"https://doi.org/10.1109/eGRID52793.2021.9662160","url":null,"abstract":"Large integration of variable renewable resources into modern power grids, has forced grid operators to look for maximizing the available flexibility that can be provided by generators, storage, and loads. In particular, PV plants can provide flexibility by decreasing their active-power injection, following a grid requirement, by using a Flexible Power Point Tracking (FPPT) method. These methods are capable of tracking an external active-power setpoint, that is usually sent by the grid operator, or of tracking the maximum available PV power when the setpoint is larger than what is capable to inject due to the current irradiance. On the other hand, power optimizers (POs) have been proposed as an alternative to minimize the effects of non-uniform conditions in PV systems, by maximizing the power extraction of each PV module. However, FPPT methods have not been implemented on PV plants with POs, where a portion of the active-power requested by the grid must be allocated to each PO. In this paper, we consider a string-inverter PV configuration where the active-power request is distributed among the POs on each PV module. We propose a power-distribution technique that accounts for the individual restrictions of each PV module and PO, while being capable of following the grid's active-power setpoint. We show the results of this proposal through simulations using PLECS®.","PeriodicalId":198321,"journal":{"name":"2021 6th IEEE Workshop on the Electronic Grid (eGRID)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115509434","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: 4

Analysis of Inter Converter Interactions using Harmonic State Space Modeling 用谐波状态空间模型分析变换器内部相互作用

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662130

J. Motwani, Yaosuo Xue, Arash Nazari, D. Dong, I. Cvetkovic, D. Boroyevich

{"title":"Analysis of Inter Converter Interactions using Harmonic State Space Modeling","authors":"J. Motwani, Yaosuo Xue, Arash Nazari, D. Dong, I. Cvetkovic, D. Boroyevich","doi":"10.1109/eGRID52793.2021.9662130","DOIUrl":"https://doi.org/10.1109/eGRID52793.2021.9662130","url":null,"abstract":"Power converters have become a key participant within the modern grid, facilitating the grid's interaction with renewable energy sources and various loads, among others. These converters can also interact with each other, creating harmonics that were previously absent in the grid. While some previous research studies have focused on inter-converter interactions, not much focus has been on the role of pulse width modulators in these inter-converter interactions. This paper focuses on the issue and builds upon harmonic state-space modeling (HSS) to observe inter-converter harmonic interactions. A new modulator model is developed, and its implementation within HSS modeling to observe harmonic coupling between multiple inverters is highlighted. A simulation testbench is developed, and to verify the advantages and limitations of the proposed modeling approach, it is compared with two other traditional modeling methods: namely, average and switching models. The proposed method is shown to be significantly more accurate and informative than conventional average modeling methods and has considerably lower computation costs and simulation time than detailed switching models. The results are verified using extensive simulations on MATLAB.","PeriodicalId":198321,"journal":{"name":"2021 6th IEEE Workshop on the Electronic Grid (eGRID)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124233946","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 Power Conversion System For Large-Scale Reversible SOFC Energy Storage System 大型可逆SOFC储能系统的功率转换系统

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662141

Hongsheng Chong, K. Sun, Huan Chen

引用次数: 3

Mission-Profile Based Design of a Hybrid-Grids Feeding Smart Transformer 基于任务剖面的混合电网馈电智能变压器设计

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662152

Johannes Kuprat, Joscha Schaumburg, M. Langwasser, M. Liserre

引用次数: 3

Homogeneity Realization for Cluster of Heterogeneous Grid-forming Inverters 异构成网逆变器集群的均匀性实现

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662145

Muhammad F. Umar, Mohsen Hosseinzadehtaher, M. Shadmand

{"title":"Homogeneity Realization for Cluster of Heterogeneous Grid-forming Inverters","authors":"Muhammad F. Umar, Mohsen Hosseinzadehtaher, M. Shadmand","doi":"10.1109/eGRID52793.2021.9662145","DOIUrl":"https://doi.org/10.1109/eGRID52793.2021.9662145","url":null,"abstract":"This paper presents a control scheme for enforcing coherency in a cluster of grid-forming inverters with heterogenous characteristics. Increasing penetration of distributive generation (DG) drives the conventional grid towards more complex structure and a new concept with heterogenous characteristics known as power electronics dominated grid (PEDG). Thus, it becomes more challenging to optimize and perform various analysis without an accurate model that mimics the large-scale networks dynamics. The aggregated and reduced-order models that accurately represent the full-scale network enables optimal coordination and computationally efficient stability assessment in real-time. However, the heterogenous characteristics of the inverter based DGs due to the different filter model parameters, inverter ratings and control algorithms poses a challenge to derive an accurate aggregated model. This paper proposes to acquire homogenous dynamic characteristics via coherency enforcement control to aggregate the cluster of grid-forming inverters into single equivalent model that can accurately predicts the dynamic of a PEDG cluster. The coherency in the dynamic response of the grid-forming inverters is realized by autonomously identifying and emulating an equivalent inertia. Various case studies are presented in this paper that validates the proposed enforcing coherency control scheme.","PeriodicalId":198321,"journal":{"name":"2021 6th IEEE Workshop on the Electronic Grid (eGRID)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134579966","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: 3

Observability Analysis for a Single-Phase Inverter Using Linear State-Space Equations 基于线性状态空间方程的单相逆变器可观测性分析

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662159

Jeanpierre D. Valentín Acevedo, E. Ortiz-Rivera, R. Darbali-Zamora

引用次数: 0

Optimized Phase-Shift Control for dc-link Current Minimization in Automotive Multi Converter Applications 汽车多路变换器直流链路电流最小化的优化相移控制

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662129

W. J. Choy, G. Buticchi, A. Marquez, M. Galea, J. I. Leon

引用次数: 2

A Modular Scalable SiC-based Flexible-Combined Heat and Power System Interface Converter with Small Capacitor and Advanced Grid-Support Functions 具有小电容和先进电网支持功能的模块化可扩展sic柔性热电联产系统接口转换器

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662157

B. Wen, Yuanyuan Rong, Qing Lin, Alok Kumar, B. Fan, Matthias Spieler, V. Centeno, R. Burgos

引用次数: 5

Resilient Model based Predictive Control Scheme Inspired by Artificial Intelligence Methods for Grid-Interactive Inverters 基于人工智能方法的电网交互逆变器弹性模型预测控制方案

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI: 10.1109/eGRID52793.2021.9662153

Matthew Baker, Hassan Althuwaini, M. Shadmand

{"title":"Resilient Model based Predictive Control Scheme Inspired by Artificial Intelligence Methods for Grid-Interactive Inverters","authors":"Matthew Baker, Hassan Althuwaini, M. Shadmand","doi":"10.1109/eGRID52793.2021.9662153","DOIUrl":"https://doi.org/10.1109/eGRID52793.2021.9662153","url":null,"abstract":"This paper presents an intelligent predictive control schemes that integrates model and data-driven schemes for enhancing the resiliency of grid-interactive inverters to mitigate the impact of dynamic grid condition on model-based control performance. Conventional model predictive control (MPC) techniques feature several advantages such as fast dynamic response, single loop optimization instead of cascaded control schemes, and several others that are enabled by enhancements in micro-controllers for control of power electronics converters. These inherent features of MPC enable design of control schemes with advance functionalities for grid-interactive inverters. MPC efficacy is highly dependent on prediction accuracy of control variables. The prediction accuracy for a predictive controlled grid-interactive inverter depends on many factors including the controller knowledge on filter model parameters and variation of grid impedance. The variation of grid impedance can impact the current prediction accuracy due to the effect of the equivalent impedance on the effective impedance the inverter experiences at its point of common coupling (PCC). The grid impedance variation is expected in future power electronics dominated grid (PEDG) with multiple point of common coupling (MPCC). The proposed resilient artificial intelligence (AI) inspired MPC scheme addresses these challenges towards improving the performance of grid-interactive inverters in PEDG. This is done through the introduction of a Learned Impedance Factor to the MPC cost formulation equation. In this paper an overview of the proposed integrated data-driven and model-based control scheme is provided, and results demonstrate the proposed controller improves the THD and tracking error compared to conventional MPC that is purely model-based.","PeriodicalId":198321,"journal":{"name":"2021 6th IEEE Workshop on the Electronic Grid (eGRID)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127106777","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