2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)最新文献

Optimal Defense Strategy Against Load Redistribution Attacks under Attacker’s Resource Uncertainty: A Trilevel Optimization Approach 攻击者资源不确定性下负载重分配攻击的最优防御策略:一种三级优化方法

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102717

Jinshun Su, Chengzhi Xie, P. Dehghanian, S. Mehrani

{"title":"Optimal Defense Strategy Against Load Redistribution Attacks under Attacker’s Resource Uncertainty: A Trilevel Optimization Approach","authors":"Jinshun Su, Chengzhi Xie, P. Dehghanian, S. Mehrani","doi":"10.1109/GridEdge54130.2023.10102717","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102717","url":null,"abstract":"The wide deployment of advanced computer technologies and evolving digitalization in power systems monitoring and control will inevitably make the power grid more vulnerable to cyber adversaries. Regarded as a viable cyber attack mechanism against power grids, load redistribution (LR) attack may mislead the power re-dispatch and cause unnecessary load outages. In this research, we develop a strategy for optimal allocation of limited defensive resources to safeguard power systems against LR attacks. The proposed defense scheme against LR attack is formulated as a trilevel optimization problem. To capture the uncertainty of attacking resources, we present a chance-constrained programming formulation where chance constraint is used to capture the possible variations in the attacker’s actions constrained by the uncertain available resources. The Karush- Kuhn-Tucker (KKT) condition and Benders decomposition algorithm are applied to solve the trilevel optimization problem. Case studies on the IEEE 57-bus test system demonstrate the efficiency of the resulting defense decisions against LR attacks.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124734371","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

Effectively Managing Today’s Transformer Challenges for Increased Asset Reliability & Sustainability 有效管理当今变压器挑战，提高资产可靠性和可持续性

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102732

Traci Hopkins

引用次数: 0

Techno-Economical Comparison of MVAC and MVDC Micro-Grids with High PV Penetration 高光伏渗透率MVAC与MVDC微电网的技术经济比较

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102715

Yiming Chen, S. Grijalva, L. Graber

引用次数: 0

Federated Learning vs Edge Learning for Hot Water Demand Forecasting in Distributed Electric Water Heaters for Demand Side Flexibility Aggregation 基于需求侧灵活性聚合的分布式电热水器热水需求预测的联邦学习与边缘学习

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102739

Surya Pandiyan, Jayaprakash Rajasekharan

引用次数: 0

Applying Edge Computing to Distribution Automation 边缘计算在配电自动化中的应用

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102738

Rostan Rodrigues, Mohammad Razeghi-Jahromi, Amanuel Melese, J. Stoupis

引用次数: 0

Testing Challenges and Approaches for DERMS Deployment DERMS部署的测试挑战和方法

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102746

Syed Qaseem Ali, Shadi Chuangpishit, F. Katiraei, Chad S. Abbey, Samrat Datta

引用次数: 0

Joint Resource Modeling and Assessment for Hybrid Distributed Solar and Wind Systems 分布式太阳能和风能混合系统联合资源建模与评估

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102725

Wenqi Zhang, C. Feng, B. Hodge

{"title":"Joint Resource Modeling and Assessment for Hybrid Distributed Solar and Wind Systems","authors":"Wenqi Zhang, C. Feng, B. Hodge","doi":"10.1109/GridEdge54130.2023.10102725","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102725","url":null,"abstract":"The inherent variability and uncertainty in distributed energy resources can presents myriad challenges to the planning and operations of power systems. These risks are poised to become larger as the penetration of renewable energy sources rises in the power generation mix. Hybrid solar-wind energy systems are able to mitigate some of these risks by their complementary resource availability. Surface solar and wind fields are coupled and correlated in both space and time. Appropriately estimating the hybrid solar wind energy system requires simulating the spatio-temporal structure of these fields that can be produced for each time horizon. We introduce a novel joint spatio-temporal stochastic differential equation (SPDE) approach that captures the spatio-temporal dynamics of solar and wind fields and their joint dependency over a domain for each time step. In the case study on Colorado, we consider nonstationary three-level hierarchical spatio temporal models for both hourly solar irradiance data and wind speed data in Colorado. Dependence between the solar irradiance data and wind speed data is captured by a shared spatio-temporal random effect. Our approach performs well in terms of the prediction score criterion.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116866142","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

Surplus energy in solar home systems as driver for bottom-up grids: When grids emerge from the edge 家用太阳能系统的剩余能量作为自下而上电网的驱动力:当电网从边缘出现

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102747

Ida Fuchs, S. Balderrama, P. C. del Granado, S. Quoilin, Jayaprakash Rajasekharan

{"title":"Surplus energy in solar home systems as driver for bottom-up grids: When grids emerge from the edge","authors":"Ida Fuchs, S. Balderrama, P. C. del Granado, S. Quoilin, Jayaprakash Rajasekharan","doi":"10.1109/GridEdge54130.2023.10102747","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102747","url":null,"abstract":"In this paper, surplus energy (SE) from solar home systems (SHS) with energy storage is studied from the perspective of bottom-up grids. The paper addresses two central research questions: 1) How much SE do SHS generate depending on system size parameters and load metrics? and 2) Can SE provide the basis for bottom-up grids in rural swarm electrification? We first analyze different SE profiles for different stochastic demands from three households with various PV and battery system sizes. Next, we analyze how these SE profiles can be used to supply additional households with lower or equal demand. We find that the SE is highly dependent on PV size and cannot be significantly reduced by increasing battery size. Demand profiles with high Peak to Average Power Ratio (PAPR) and low Load at Day Time Ratio (LDTR) are shown to have the highest levels of SE. Simulations show that households with PV and battery system can supply several other households with its SE only. This study shows excellent potential for developing a framework model for bottom-up grids through SHS sizing and bottom-up planning of interconnections in rural communities.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123877239","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

Adaptive-Extremum Seeking Method for Impedance Identification in Distribution Grids 配电网阻抗辨识的自适应极值求法

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102728

Taha Khan, H. Nazaripouya

{"title":"Adaptive-Extremum Seeking Method for Impedance Identification in Distribution Grids","authors":"Taha Khan, H. Nazaripouya","doi":"10.1109/GridEdge54130.2023.10102728","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102728","url":null,"abstract":"This paper proposes an adaptive Extremum Seeking Control (ESC) based method for extracting the impedance of a distribution grid. An adaptive version of ESC is developed for speeding up the impedance identification process by dynamically increasing the convergence rate of ESC. An impedance change can occur at any time and may produce a disturbance in the grid voltage. Disturbance caused by a change in impedance value can cause the Extremum Seeking Controller to re-adjust its operating point. At first, this may cause the controller to take huge steps in the direction of the new impedance value. Once the value comes closer to the new impedance value, the controller then steadily converges. This steady convergence (especially observed in the distribution grid) is often too slow and may cause an unnecessary delay in estimating the correct impedance value. This work proposes a method of observing the external disturbance and dynamically adjusting the gain of demodulating signal to make the convergence process faster while keeping the ESC-based impedance identification process stable. The increased convergence rate is achieved while keeping the magnitude of applied perturbation constant throughout the process and only changing the magnitude of the demodulating signal.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134237134","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

Grid-Edge Dynamic Volt-VAr Control Solution to Mitigate System Impacts Caused by Vast EV Charging Infrastructure Integration 电网边缘动态电压无功控制方案缓解大规模电动汽车充电基础设施集成对系统的影响

2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge) Pub Date : 2023-04-10 DOI: 10.1109/GridEdge54130.2023.10102743

Roozbeh Karandeh, Hong Chun, D. Tholomier

{"title":"Grid-Edge Dynamic Volt-VAr Control Solution to Mitigate System Impacts Caused by Vast EV Charging Infrastructure Integration","authors":"Roozbeh Karandeh, Hong Chun, D. Tholomier","doi":"10.1109/GridEdge54130.2023.10102743","DOIUrl":"https://doi.org/10.1109/GridEdge54130.2023.10102743","url":null,"abstract":"Electric vehicle (EV) sales are booming everywhere. Extensive EV charging infrastructure integration into the legacy distribution networks may cause several system vulnerabilities, including system voltage drop. In this paper, Dynamic VAr Controllers (DVC) are proposed as a cost-effective, non-wires alternative (NWA) and distributed control solution to mitigate the impacts on system voltage. In this approach, the single-phase DVCs are deployed at the secondary of the service transformers at locations with lowest voltages to provide voltage support through dynamic VAr injection. To verify the mitigating effect of DVCs, several scenario-based time-series simulations are performed in OpenDSS on actual distribution networks, using historical load and EV profiles, while the DVC controller is modeled in Python. Simulation results confirm the significant performance of DVCs in resolving the under-voltage issue, as well as system voltage unbalance. The proposed solution is a promising alternative to costly distribution infrastructure expansion and electro-mechanical voltage control devices.","PeriodicalId":377998,"journal":{"name":"2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106294","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