2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)最新文献

Developing a Campus Microgrid Model utilizing Modelica and the OpenIPSL Library 利用Modelica和OpenIPSL库开发校园微电网模型

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123421

F. Fachini, Aisling Pigott, G. Laera, T. Bogodorova, L. Vanfretti, K. Baker

{"title":"Developing a Campus Microgrid Model utilizing Modelica and the OpenIPSL Library","authors":"F. Fachini, Aisling Pigott, G. Laera, T. Bogodorova, L. Vanfretti, K. Baker","doi":"10.1109/MSCPES58582.2023.10123421","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123421","url":null,"abstract":"This paper describes the development of a phasor-based campus microgrid model utilizing the Modelica language and the OpenIPSL library. The phasor-based modeling approach was chosen because the resulting microgrid model would yield faster simulation run times when compared to models developed using electromagnetic transient (EMT) methods. Beyond the benefits of simulation performance, this becomes necessary when attempting to understand dynamic phenomena arising under emergency conditions across time scales ranging from milliseconds to hours, which will aid in developing resiliency improvement plans for the real-world campus microgrid that the model represents. Considering the increasing number of distributed energy sources (DERs) being added to power grids across the world and the paradigm shift on how electrical grids can operate with more DERs, the implementation of such a microgrid campus model can help in the development and testing new control strategies to support new operational approaches while guaranteeing system stability and resiliency. The added benefit of having the microgrid model in Modelica is that it can be simulated in any Modelica complaint tool (both proprietary or not), preserving an open-source code, unlocked for the user to explore and adjust the implementation as well as observe and edit the mathematical formulation. This enables not only nonlinear time simulation, but also linear analysis techniques and other approaches to be applied.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116620685","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

EVs and ERCOT: Foundations for Modeling Future Adoption Scenarios and Grid Implications 电动汽车和ERCOT:建模未来采用场景和网格含义的基础

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123430

Kelsey Nelson, Pedro S. Moura, J. Mohammadi

{"title":"EVs and ERCOT: Foundations for Modeling Future Adoption Scenarios and Grid Implications","authors":"Kelsey Nelson, Pedro S. Moura, J. Mohammadi","doi":"10.1109/MSCPES58582.2023.10123430","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123430","url":null,"abstract":"Electric vehicles (EVs) are becoming more commonplace in Texas, mainly due to their increasing attractiveness to consumers and pushes from the state’s governing bodies to incentivize further adoption. Meanwhile, service from Texas’s electric grid, ERCOT, has been seeing increases in power demand due to a growing population, increased air conditioning use, and pushes for electrification across other industries. The electrification of vehicles will only add to this demand increase. This paper focuses on evaluating different EV adoption, charging management, and policy scenarios, and how they will be expected to impact ERCOT, particularly with respect to peak demand increases. A strong increase in peak demand makes it more difficult for grids to serve power demand at all times, making it an important consideration when seeking to electrify a sector as energy intense as transportation. This paper introduces preliminary results from modeling relevant baseline scenarios and provides insight for future models to build off of. The anticipated impacts of EV adoption on peak demand are quantified using ERCOT’s data on past generation and planned installations, the approximated effectiveness of EV incentives, EV charging profiles, and travel patterns. The results showcase the fact that the achievement of ambitious EV market share goals will be manageable on a statewide level regarding electricity supply into 2030, but will eventually necessitate ambitious charging management strategies in order to limit the EV fleet’s potentially heavy impact on peak demand looking forward into 2050 and beyond.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126945306","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

Distributed algorithm for simulating dynamic interactions within a general cyber-physical system 用于模拟一般网络物理系统内动态交互作用的分布式算法

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123434

M. Ilic, Miroslav Kosanic

{"title":"Distributed algorithm for simulating dynamic interactions within a general cyber-physical system","authors":"M. Ilic, Miroslav Kosanic","doi":"10.1109/MSCPES58582.2023.10123434","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123434","url":null,"abstract":"In this paper we exploit the structure of dynamic models for general cyber-physical systems (CPS). Key to this structure is a unifying notion of an interaction variable between components/subsystems and the neighbouring sub-systems within a multi-layered CPS. The higher-level aggregate model derived in terms of unifying energy and power dynamics explicitly captures dynamic interactions of interest. In this paper this structure is utilised further to formulate a distributed interactive algorithm for simulating dynamic interactions and for aligning them according to generalised Tellegen’s theorem. Proof of concept simulations are bench-marked against the centralised simulations of a simple DC circuit serving constant power load (CPL). Notably, the simulation results reflect the underlying physics and explicitly capture oscillations between neighbouring modules. This algorithm lends itself to multi-layered parallel implementation by means of minimal information exchange. As such, it supports simulating complex electric energy systems, in particular power-electronically controlled DC micro-grids, and, more generally multi-energy systems.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116661896","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

Exploiting Quantum Power Flow in Smart Grid Co-Simulation 利用量子潮流进行智能电网联合仿真

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123431

Dominik Vereno, A. Khodaei, C. Neureiter, S. Lehnhoff

{"title":"Exploiting Quantum Power Flow in Smart Grid Co-Simulation","authors":"Dominik Vereno, A. Khodaei, C. Neureiter, S. Lehnhoff","doi":"10.1109/MSCPES58582.2023.10123431","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123431","url":null,"abstract":"Our electricity infrastructure is getting more complex and heterogeneous. Holistically analyzing grids is therefore increasingly challenging. Co-simulation, i.e. the coordinated execution of independent subsystem simulators, is inherently well suited to handling these challenges. However, the computational needs of calculating power flows within the simulated grid may limit the scalability for large-scale co-simulations. Recent advances in quantum computing offer a potential solution to these concerns: The computing paradigm‘s potential for exponentially speeding up power flow has been shown. To utilize these capabilities for smart grid simulations, we propose quantum–classical co-simulation: integrating simulators running on quantum hardware with an otherwise classical co-simulation. Specifically, we focus on exploiting quantum power flow in smart grid co-simulations. This concept is promising for applications that require comprehensive grid simulation and whose scalability is impeded by the computational properties of power flow. This paper highlights the concept of quantum–classical co-simulation, and advocates for its criticality and applications in supporting smart grid analytics. We encourage and facilitate research by recommending a five-item research roadmap. We also provide a detailed discussion on the potential obstacles in implementing this concept, to help bring its theoretical value to practice.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123955195","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

Leveraging High-Fidelity Datasets for Machine Learning-based Anomaly Detection in Smart Grids 利用高保真数据集进行智能电网中基于机器学习的异常检测

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123428

Burhan Hyder, Arman Ahmed, P. Mana, Thomas Edgar, S. Niddodi

引用次数: 0

Multi-domain Modeling of a Steam Power Plant with Power Grid 带电网的蒸汽电厂多域建模

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123433

Kyle Warns, Asad Ullah Amin Shah, M. Aguilera, Junyung Kim, L. Vanfretti, Hyun Gook Kang

引用次数: 0

Modelling and Eigenanalysis of Sub-synchronous Oscillations Excited by Large Wind Power Plants 大型风电场激振次同步振荡建模与特征分析

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123424

Cees van Vledder, J. R. Torres, A. Ştefanov, P. Palensky, O. Anaya‐Lara, Bas Kruimer, F. Gonzalez-Longatt

{"title":"Modelling and Eigenanalysis of Sub-synchronous Oscillations Excited by Large Wind Power Plants","authors":"Cees van Vledder, J. R. Torres, A. Ştefanov, P. Palensky, O. Anaya‐Lara, Bas Kruimer, F. Gonzalez-Longatt","doi":"10.1109/MSCPES58582.2023.10123424","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123424","url":null,"abstract":"The amount of power electronic interfaced generation (PEIG) is significantly proliferating in modern cyber-physical energy systems (CPESs). The limited capabilities (e.g. inertia, over-current) of PEIG, together with their location and technology-specific designed control systems, alter the dynamic properties of different types of stability phenomena, e.g. sub-synchronous oscillations (SSOs). A poorly damped SSO can emerge, within a sub-second time scale, through conflicting inter-actions between the controls of PEIG and the dynamic response of the surrounding electrical network. This paper focuses on the modelling and assessment of such interactions, with emphasis on the integration of large-size full converter (a.k.a. type-4) based wind power plants (WPPs). By combining different analysis tools, the implemented model supports sensitivity assessment of the occurrence and observability of a poorly damped SSO. State-space model based eigenanalysis is iteratively used to ascertain damping variability of a dominant SSO, excited by inappropriate controller settings of the WPP. Power spectral density (PSD) analysis is used to qualitatively estimate the degree of observability of the poorly damped SSO across different buses of a CEPS. Numerical tests are performed on a modified version of the IEEE-39 bus system by using DIgSILENT PowerFactory 2022 SP1. Suggestions are provided for the deployment of data generated from phasor measurement units (PMUs) in the monitoring and wide-area damping control of critical SSOs.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127720770","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

CPGrid-OT: Cyber-Power Data Generation Using Real-Time Reconfigurable Testbed for Resiliency CPGrid-OT:使用实时可重构弹性测试平台的网络电力数据生成

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123420

Hussain M. Mustafa, S. Basumallik, Samuel Kidder, Amal Srivastava

{"title":"CPGrid-OT: Cyber-Power Data Generation Using Real-Time Reconfigurable Testbed for Resiliency","authors":"Hussain M. Mustafa, S. Basumallik, Samuel Kidder, Amal Srivastava","doi":"10.1109/MSCPES58582.2023.10123420","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123420","url":null,"abstract":"This paper presents a real-time reconfigurable Cyber-Power Grid Operation Testbed (CPGrid-OT) with multi-vendor, industry-grade hardware and software. The developed testbed allows reconfigurability to some extent by offering flexibility to: a) use for transmission or distribution system simulation, b) easily exchange data with diverse platforms interchangeably using standard data interface protocols, and integration of local/cloud data storage, c) integrate adaptive communication network configuration with software-defined networking (SDN) and, d) perform hardware-in-the-loop experimentation with exchangeable devices using no-wire interfacing. Through CPGrid-OT, we discuss in detail cyber-power data generation, storage, and processing at multiple levels of the testbed. We then demonstrate two use cases with CPGrid-OT - (1) we implement coordinated cyber attacks, similar to GridEx. A step-by-step attack emulation timeline is provided that shows how attackers can compromise the system to adversely impact the power grid. For each step, we show how the generated data from CPGrid-OT can be utilized for resiliency analysis and incident response; (2) we further demonstrate how the generated data can be used to validate advanced tools such as CP-TRAM and SyncAD. Due to the lack of realistic cyber attack data available in the public domain, we provide high-resolution real-time data from both the cyber and power layers of our testbed to help spur the development and validation of cyber-power resiliency tools for future researchers.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129683270","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

MSCPES 2023 Cover Page MSCPES 2023封面页

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/mscpes58582.2023.10123427

引用次数: 0

Comparing Thermal Library Modeling Suites for Integrated Modeling of Nuclear Power Plant and Power Grids 核电厂与电网集成建模的热库建模套件比较

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123419

Asad Ullah Amin Shah, Kyle Warns, Junyung Kim, M. Aguilera, L. Vanfretti, Hyun Gook Kang

{"title":"Comparing Thermal Library Modeling Suites for Integrated Modeling of Nuclear Power Plant and Power Grids","authors":"Asad Ullah Amin Shah, Kyle Warns, Junyung Kim, M. Aguilera, L. Vanfretti, Hyun Gook Kang","doi":"10.1109/MSCPES58582.2023.10123419","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123419","url":null,"abstract":"Decarbonization efforts in the United States has resulted in the increasing interest in flexible operation of nuclear power plants or thermal storage-based hybrid energy systems integrated with the power grid. Consequently, the need for rapid and effective modeling and simulation of such integrated systems is becoming critical. This requires modeling a approach that offers capabilities for multi-domain simulation that allows to model coupled phenomena accurately. This work focused on developing a proof of concept of such multi-domain models by designing a nominal model of a nuclear power plant balance of plant (BOP) system using the Modelica libraries. To model the thermofluidic domain, three libraries are evaluated, namely, ORNL’s TRANSFORM, Modelon’s ThermalPower, and Casella’s ThermoPower. Next, the thermofluidic model is coupled with an electrical grid model built using the OpenIPSL. To understand the tradeoffs of each library, the response of each different model to power transients in the nuclear power plant was analyzed. Simulation results and modeling methods were compared. The BOP model in TRANSFORM was found to be stiff and may require more detailed component models, e.g. condenser and feed water heater, to model the BOP more realistically and rapidly.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694196","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