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IEEE Industry Applications Society Annual Meeting (IAS)

作者： Anne Stratman Wei Qiao Liyan Qu Department of Electrical and Computer Engineering Power and Energy Systems Laboratory University of Nebraska-Lincoln Lincoln NE USA

ISBN: (数字)9798350372717

ISBN: (纸本)9798350372724

Residential photovoltaic (PV) systems, which have become widely integrated into distribution systems, are typically installed behind-the-meter (BTM). However, accurate estimates of the BTM PV generation are necessary for load forecasting, network control, and demand response, so the measured net load data must be disaggregated into separate measurements of PV generation and pure load. This paper proposes a dictionary learning-based, customer-level PV disaggregation framework based on constructing customer-specific dictionary atoms. First, the observable data of a reference home is used to disaggregate the data of another fully observable home. The disaggregation is formulated as dictionary learning problem and solved via lasso regression. Then, synthetic dictionary atoms are constructed as a weighted linear combination of the PV generation and pure load profiles of the reference home, and the estimated profiles of the second observable home. The weights are optimized to minimize the disaggregation error of the known profiles of the second observable home. Finally, the data of the target home is disaggregated initially. Then, the optimized weights are used to construct synthetic exemplars using the reference home's data and the initial disaggregation estimates of the target home. The proposed method is compared to the case where synthetic exemplars are not used and is tested under a variety of weather conditions. Case study results show that the proposed framework reduces the disaggregation error by $3.27-81.01 \%$ , with a mean reduction of $\mathbf{2 0. 2 4 \%}$ across all test days.

关键词： Photovoltaic systems Dictionaries Accuracy Load forecasting Machine learning Solar energy Atoms Demand response Weighted sum model Testing

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Data Fusion-based Hybrid Framework for Cyber-physical Security of the Smart Grid

Data Fusion-based Hybrid Framework for Cyber-physical Securi...

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Resilience Week (RWS)

作者： Sharon A. Boamah Reynold Mathieu Victor Faillace Dennis Agnew Janise McNair Arturo Bretas Department of Electrical and Computer Engineering University of Florida Gainesville FL Distributed Systems Group Sandia National Laboratory

ISBN: (数字)9798350388985

ISBN: (纸本)9798350388992

The integration of information communication technology with the power grid exposes it to cyber threats. The network state estimation process provides stability to the smart grid. The communication network plays a major role in ensuring the successful transmission of state information. However, these network measurements are vulnerable to malicious attacks. This subsequently affects the network measurement such as associated high transmission delays and packet losses affecting the reliability of the smart grid. In this work, we propose a hybrid physics-based data-driven model that uses data fusion from the state-of-the-art physics-based Network State Estimation model and a data-driven model to detect false data injection attacks in the communication network layer of the smart grid. The performance of the data fusion method is evaluated and the simulation results show that the proposed model outperforms the standalone approaches in the detection of bad data. This shows that the proposed scheme is able to improve the cyber-physical security of the communication network layer of the smart grid.

关键词： Simulation Data integration Data models Stability analysis Smart grids Communication networks Security Reliability State estimation Resilience

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Fractional Order Linear Active Disturbance Rejection Control for Linear Flexible Joint System

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computers, Materials & Continua 2022年第3期70卷 5133-5142页

作者： Ibrahim M.Mehedi Rachid Mansouri Ubaid M.Al-Saggaf Ahmed I.M.Iskanderani Maamar Bettayeb Abdulah Jeza Aljohani Thangam Palaniswamy Shaikh Abdul Latif Abdul Latif Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia L2CSP Laboratory Mouloud Mammeri UniversityTizi OuzouAlgeria Electrical&Computer Engineering Department University of SharjahUnited Arab Emirates Department of Nuclear Engineering King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics King Abdulaziz UniversityJeddah21589Saudi Arabia

A linear flexible joint system using fractional order linear active disturbance rejection control is studied in this *** this control scheme,the performance against disturbances,uncertainties,and attenuation is *** active disturbance rejection control(LADRC)is mainly based on an extended state observer(ESO)technology.A fractional integral(FOI)action is combined with the LADRC technique which proposes a hybrid control scheme like *** this FOI action improves the robustness of the standard *** set-point tracking of the proposed FO-LADRC scheme is designed by Bode’s ideal transfer function(BITF)based robust closed-loop concept,an appropriate pole placement *** effectiveness of the proposed FO-LADRC scheme is illustrated through experimental results on the linear flexible joint system(LFJS).The results show the enhancement of the robustness with disturbance ***,a comparative analysis is presented with the results obtained using the integer-order LADRC and FO-LADRC scheme.

关键词： Active disturbance rejection fractional calculus ADRC pole placement linear flexible joint system robust control

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Container-based Platform for Edge-Computing in Energy System Applications

Container-based Platform for Edge-Computing in Energy System...

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IEEE General Meeting Power& Energy Society

作者： Mahmoud S. Abdelrahman Hossam Hussein Osama A. Mohammed Department of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami Fl USA

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

The design of power systems is growing more complex due to the large-scale building of microgrids and the ongoing advancement of renewable energy technologies. Several management approaches are applied to overcome these issues using cloud computing and the Internet of Things (IoT). However, the security and time delay for long-distance transferring to cloud communication are crucial concerns. Edge computing is a promising technology to address these challenges. Emerging smart energy systems are frequently deployed at the Edge of the power grid to meet the needs of smart grid users and achieve secure, efficient, and low-latency data processing. This paper proposes a container-based platform for Edge computing emulation based on a co-simulation model to implement, test, and validate Edge computing-based energy system applications. In addition, the feasibility of the proposed model is demonstrated by a case study of a consensus control technique based on an Edge computing framework for multi-microgrids.

关键词： Cloud computing Computational modeling Emulation Microgrids Containers Consensus control Smart grids Internet of Things Security Edge computing

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Communication Networks-Based Control of Cyber-Physical Microgrids

Communication Networks-Based Control of Cyber-Physical Micro...

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IEEE Industry Applications Society Annual Meeting (IAS)

作者： Ola Ali Osama A. Mohammed Department of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami FL USA

ISBN: (数字)9798350372717

ISBN: (纸本)9798350372724

This paper surveys the communication networksbased control of cyber-physical microgrids (MGs), including the different architectures of MGs, the control system, and the communication networks within the MGs. The proposed work introduces an overview of the AC, DC, and hybrid AC/DC architectures, highlighting the challenges in the control systems used for each architecture. Focusing on the hierarchical control structure of MGs, we demonstrate the vital role of communication infrastructure in the resilient control of MGs to coordinate between the primary, secondary, and tertiary layers for achieving the control objective. The requirements for communication networks and their influence on MGs' reliable and secure operation are also presented. We have investigated the impact of communication delays, failures, and packet loss on the control system's performance. This survey offers insights into the effects of communication infrastructure on efficient and robust control of cyber-physical MGs in dynamic energy environments.

关键词： Surveys Robust control System performance Packet loss Microgrids Control systems Delays Communication networks Reliability Resilience

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Graph Models of Electric Power Transmission Networks Using Synchrophasor Data

Graph Models of Electric Power Transmission Networks Using S...

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IEEE Southeastcon

作者： Ganesh K. Venayagamoorthy Dulip Madurasinghe Rajan Ratnakumar Department of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory Clemson University SC USA

The electric power transmission network (EPTN) is a connected, geographically distributed network, which can be represented with a graph model with nodes and edges. The graph represents the physical connectivity of the EPTN. Deriving the graph model of the EPTN solely based on continually measured data is important for reliable power system operational situation awareness and decreasing uncertainties driven by weather, electrification, and interconnections. In this paper, an exhaustive search algorithm is presented to derive the EPTN graph model (TNGM) solely based on synchrophasor measurements retrieved from the substations without prior knowledge of the connectivity. Furthermore, an evaluation metric for any data-driven TNGM is introduced. The transmission network of the two-area, four-machine power system is used as the test system, and typical TNGMs for different power plant operating conditions are presented. Typical graphs obtained for network impedance and power flows are shown to be accurate, on average within 2% error margin.

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Coordinated EMS for Stability Enhancement of NMGs During Disturbance and Fault Conditions

Coordinated EMS for Stability Enhancement of NMGs During Dis...

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Annual Conference of Industrial Electronics Society

作者： Hossam M. Hussein Mahmoud S. Abdelrahman Ibtissam Kharchouf S M Sajjad Hossain Rafin Osama A. Mohammed Department of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami Fl USA

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

Power systems are evolving from centralized power grid structures to networks of intelligent microgrids (MGs) that can share power more independently. The interconnection between these MGs, forming the networked MGs (NMGs), will increase the power system’s stability and expand its capabilities. However, a critical concern that necessitates sophisticated management strategies for voltage stabilization across the microgrids is the optimal and effective power sharing between renewable resources and energy storage devices. Effective power sharing between AC and DC sides is critical, necessitating robust control mechanisms for interlink converters (ILC). This paper presents a coordinated energy management strategy for hybrid networked MGs (NMGs) to enhance stability during contingencies and fault instances. The proposed Energy Management System (EMS) operates in two distinct modes: grid-connected and islanded. The system takes specific actions to maintain stability depending on the current mode. In grid-connected mode, the grid supplies the load demand while one of the microgrids (MGs) serves as a backup to ensure system stability. Several scenarios were created using MATLAB/Simulink to test and validate the EMS. These scenarios included varying load demands, pulsed power loads, uncertainties in photovoltaic (PV) system generation, disconnection from the AC side, and fault conditions. The proposed EMS has proven its efficiency while maintaining the system stability within the standard limits and fulfilling the load demands.

关键词： Robust control Renewable energy sources Contingency management Microgrids Power system stability Stability analysis MATLAB Energy management systems Thermal stability Energy storage

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Cyber-HIL Autonomous Inverter-Based Microgrid Framework: Control System Performance and Communication Network Quality of Service

Cyber-HIL Autonomous Inverter-Based Microgrid Framework: Con...

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IEEE Industry Applications Society Annual Meeting (IAS)

作者： Ola Ali Osama A. Mohammed Department of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami FL USA

ISBN: (数字)9798350372717

ISBN: (纸本)9798350372724

The integration of communication networks within modern power systems enhances the control of modern power systems; however, it increases the system's complexity. This interdependence raises the need to analyze power systems as cyber-physical systems (CPS). Microgrids (MGs) play a vital role in modern power systems, facilitating sustainable operation while decreasing the reliance on the main grid. Different distributed energy resources can be integrated by utilizing power electronics inverters working under grid-forming mode; this configuration forms the inverter-based autonomous AC microgrids. Droop control as a primary control layer is a wellknown technique that enables power-sharing among the various resources within the inverter-based MG. However, it has a limitation in keeping the system voltage and frequency constant. Thus, a secondary control layer is introduced to compensate for the droop limitations. This paper presents an innovative study that considers the communication network performance while studying the control of MGs through a cyber hardware-in-theloop (Cyber-HIL) autonomous inverter-based MG framework that integrates Opal-rt, network simulator ns-3, and docker containers. The effectiveness of the designed MG system equipped with its primary and the developed centralized secondary control system, in addition to the quality of service (QoS) of the designed communication network emulation, are presented in the experimental results.

关键词： Emulation Microgrids Quality of service Containers Control systems Power systems Communication networks Voltage control Frequency control Load modeling

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Assessment of Energy Management Strategies in Buildings Equipped with Modulating Heat Pumps 2

Assessment of Energy Management Strategies in Buildings Equi...

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2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022

作者： Efkarpidis, Nikolaos A. Christoforidis, Georgios C. Papagiannis, Grigoris K. University of Applied Sciences and Arts Northwestern Switzerland Institute of Electric Power Systems Windisch Switzerland University of Western Macedonia Department of Electrical and Computer Engineering Kozani Greece Aristotle University of Thessaloniki Power Systems Laboratory School of Electrical & Computer Engineering Thessaloniki Greece

ISBN: (数字)9781665461078

ISBN: (纸本)9781665461078

Buildings equipped with battery energy storages (BES), thermal energy storages (TES), Photovoltaics (PV), solar thermal collectors (STC) and modulating heat pumps (HP) can significantly enhance the energy management potential. The energy management systems are mainly based on self-consumption maximization (SCM) and time-of-use arbitrage (ToUA). In terms of electricity pricing, dynamic pricing policies with two, three tariff zones or real-time pricing (RTP) are mostly applied. In this study, different control algorithms based on the concepts of SCM and ToUA are evaluated for a complex energy system consisted of BES, TES, PV, STC and HPs with variable-speed compressors. The performance of the proposed energy management strategies is assessed under ToU and RTP pricing regimes. © 2022 IEEE.

关键词： Costs

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Fast Mapping of Flexibility Regions at TSO-DSO Interfaces under Uncertainty

Fast Mapping of Flexibility Regions at TSO-DSO Interfaces un...

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2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022

作者： Patig, Alice Stanojev, Ognjen Aristidou, Petros Kiprakis, Aristides Hug, Gabriela Eth Eeh - Power Systems Laboratory Zurich Switzerland University of Edinburgh School of Engineering Institute for Energy Systems United Kingdom Cyprus University of Technology Computer Engineering and Informatics Department of Electrical Engineering Cyprus

ISBN: (数字)9781665480321

ISBN: (纸本)9781665480321

The gradual decommissioning of fossil fuel-driven power plants, that traditionally provide most operational flexibility in power systems, has led to more frequent grid stability issues. To compensate for the lack of flexible resources, Distributed Energy Resources (DERs) in distribution networks can be employed. To facilitate the use of DERs, the aggregated flexibility in a distribution grid is commonly represented on a PQ-plane displaying the feasible active and reactive power exchange with the upstream grid. This paper proposes a fast feasible operating region mapping mechanism that utilizes a linear power flow approximation in combination with linearized generator, current, and voltage constraints to construct a high-dimensional polyhedral feasible set of DER power injections. The obtained polytope is projected onto the PQ-plane using Fourier-Motzkin Elimination to represent the aggregate network flexibility. Additionally, uncertainty in DER generation is addressed using chance-constraints. Our analysis of a modified 33-bus IEEE test system demonstrates that the proposed method obtains more accurate approximations than former geometric methods and is ten times faster than the tested optimization-based method. © 2022 IEEE.

关键词： Electric power distribution

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