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

筛选

英文中文

SynTiSeD – Synthetic Time Series Data Generator SynTiSeD -合成时间序列数据生成器

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123429

Michael Meiser, Benjamin Duppe, I. Zinnikus

{"title":"SynTiSeD – Synthetic Time Series Data Generator","authors":"Michael Meiser, Benjamin Duppe, I. Zinnikus","doi":"10.1109/MSCPES58582.2023.10123429","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123429","url":null,"abstract":"Recently, an increasing number of Artificial Intelligence services have been developed for a variety of domains. Machine Learning and especially Deep Learning services require a large amount of data to provide their functionality. Since data collection is typically complex and difficult, there is often not enough data available. Machine learning services such as anomaly detection or disaggregation algorithms are also being developed in the smart living domain. In practice, however, only a few energy datasets are publicly available, as the collection of such data is expensive and time-consuming due to the equipment required. One way to generate more smart meter data is to use a simulation. Developing such a simulation that is capable of generating meaningful data is a complex task. Therefore, in this paper, we present the Synthetic Time Series Data Generator (SynTiSeD), a multi-agent-based simulation tool that generates meaningful synthetic energy data based on real-world data. Furthermore, SynTiSeD allows generating data of critical situations, which are important for the development of such services, but which cannot be provoked in the real world. For transferability, we demonstrate that Nonintrusive Load Monitoring algorithms trained on synthetic data generated by SynTiSeD provide meaningful results that are even better than those of models trained on real data.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"41 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":"126824210","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

Graph Theoretic Approach for Decentralized Control Architecture of Cyber Physical Smart Grid 网络物理智能电网分散控制体系结构的图论方法

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-05-09 DOI: 10.1109/MSCPES58582.2023.10123423

Hareesh Kumar Reddy M, V. V

{"title":"Graph Theoretic Approach for Decentralized Control Architecture of Cyber Physical Smart Grid","authors":"Hareesh Kumar Reddy M, V. V","doi":"10.1109/MSCPES58582.2023.10123423","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123423","url":null,"abstract":"The need for power in the corporate, domestic, and industrial sectors is growing and driving the interest of researchers to hunt for emerging solutions for the future power grid. The smart grid is an electrical energy infrastructure that uses information and communication technologies. Moreover, the smart grid allows bi-directional power flow and an improved monitoring structure that is attack-resistant, reliable, and aware of predicting future uncertainty. Since the smart grid depends heavily on communication and cyber infrastructure, it is imperative to study the effects of cyber contingencies on the physical power system. This paper proposes a graph theory based modelling to perform cyber contingency analysis for a cyber physical smart grid. Both power and cyber networks are represented as two individual graphs in graph theory-based modeling. The effect of cyber contingency on the physical system is quantified using an optimal power flow algorithm. The control architecture considered in this paper is decentralized. The decentralized Optimal Power Flow (OPF) problem has been solved using the Alternating Direction Method of Multipliers (ADMM). The proposed algorithm is illustrated utilizing IEEE 39 bus system. The results show that the system cost is less, and power supplied to the customers is more in a decentralized control structure than in traditional centralized architecture.","PeriodicalId":162383,"journal":{"name":"2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"60 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":"115033501","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

Towards a more comprehensive open-source model for interdisciplinary smart integrated energy systems 面向跨学科智能集成能源系统的更全面的开源模型

2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) Pub Date : 2023-04-12 DOI: 10.1109/MSCPES58582.2023.10123432

Béla Wiegel, Tom Steffen, D. Babazadeh, C. Becker

{"title":"Towards a more comprehensive open-source model for interdisciplinary smart integrated energy systems","authors":"Béla Wiegel, Tom Steffen, D. Babazadeh, C. Becker","doi":"10.1109/MSCPES58582.2023.10123432","DOIUrl":"https://doi.org/10.1109/MSCPES58582.2023.10123432","url":null,"abstract":"The energy transition has recently experienced a further acceleration. In order to make the integration of renewable energies as cost-effective, secure and sustainable as possible and to develop new paradigms for the energy system, many energy system models have been developed in research in the past to evaluate the solutions. While model identification and dissemination of results are widely discussed in the literature, a detailed view of the methodology is often missing. This paper addresses this topic and proposes a methodology to build a comprehensive, publicly accessible database for modeling a multi-modal integrated energy system. The focus hereby is dynamic modeling of low- and medium-voltage grids consisting of prosumers, battery storages, heat pumps and electric cars. In addition, a district heating network is parameterized to match the electricity grid. Modelica and the TransiEnt-Library serves as the modeling tool. The methodology for creating the grid models is available via GitLab. A study case that uses the methodology to analyze the congestion situation within a medium-voltage distribution grid is presented.","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":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130096276","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

首页上一页