A comparison study of co-simulation frameworks for multi-energy systems: the scalability problem
A comparison study of co-simulation frameworks for multi-energy systems: the scalability problem
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多能源系统联合仿真框架的比较研究：可扩展性问题
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Lorenzo Bottaccioli
中科院分区：
文献类型：
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作者：
Luca Barbierato;Pietro Rando Mazzarino;Marco Montarolo;A. Macii;E. Patti;Lorenzo Bottaccioli
向低碳社会的转型将彻底改变能源系统的结构，从独立的分层集中式愿景转变为协作、分布式的多能源系统。对这些复杂系统的分析需要来自能源、信息通信技术、社会、经济和政治领域不同学科的研究人员的合作。将这些不同的学科组合成一个工具来建模和分析多能源系统这样的复杂环境需要付出巨大的努力。研究人员通过使用联合仿真技术克服了这一困难，该技术提供了将现有的特定领域模拟器集成到单一环境中的可能性。 Mosaik 和 HELICS 等联合仿真框架的开发就是为了简化这种集成。在这种情况下，另一个挑战是现实世界中涉及的不同时间和空间尺度，并且在联合仿真过程中必须解决这一问题。特别是，系统中存在大量异构参与者，这使得很难将系统表示为一个整体。在本文中，我们提出了两个主要协同仿真框架（即 HELICS 和 Mosaik）的可扩展性性能的比较以及著名的多智能体系统库（即 AIOMAS）的特定实现。在描述了通用协同仿真框架基础设施及其在管理分布式协同仿真环境中的相关挑战之后，介绍了三个选定的框架并进行了相互比较，以突出其主要结构。然后，介绍了协同仿真框架的可扩展性问题，并提供了四种基准配置来测试其在运行实例数量方面的扩展能力。为了进行这种比较，使用简化的多模型能源场景作为通用测试环境。这项工作有助于了解根据要分析的场景选择三个框架和四种配置中的哪一个。实验结果表明，HELICS 的多处理配置在为评估协同仿真框架之间的可扩展性而定义的 KPI 方面达到了最佳性能。
The transition to a low-carbon society will completely change the structure of energy systems from a standalone hierarchical centralised vision to cooperative and distributed Multi-Energy Systems. The analysis of these complex systems requires the collaboration of researchers from different disciplines in the energy, ICT, social, economic, and political sectors. Combining such disparate disciplines into a single tool for modeling and analyzing such a complex environment as a Multi-Energy System requires tremendous effort. Researchers have overcome this effort by using co-simulation techniques that give the possibility of integrating existing domain-specific simulators in a single environment. Co-simulation frameworks, such as Mosaik and HELICS, have been developed to ease such integration. In this context, an additional challenge is the different temporal and spatial scales that are involved in the real world and that must be addressed during co-simulation. In particular, the huge number of heterogeneous actors populating the system makes it difficult to represent the system as a whole. In this paper, we propose a comparison of the scalability performance of two major co-simulation frameworks (i.e. HELICS and Mosaik) and a particular implementation of a well-known multi-agent systems library (i.e. AIOMAS). After describing a generic co-simulation framework infrastructure and its related challenges in managing a distributed co-simulation environment, the three selected frameworks are introduced and compared with each other to highlight their principal structure. Then, the scalability problem of co-simulation frameworks is introduced presenting four benchmark configurations to test their ability to scale in terms of a number of running instances. To carry out this comparison, a simplified multi-model energy scenario was used as a common testing environment. This work helps to understand which of the three frameworks and four configurations to select depending on the scenario to analyse. Experimental results show that a Multi-processing configuration of HELICS reaches the best performance in terms of KPIs defined to assess the scalability among the co-simulation frameworks.
MOSAIK 和 HLA 的智能电网联合仿真：比较研究
DOI：
10.1007/s00450-017-0379-y
发表时间：
2018
期刊：
Computer Science - Research and Development
影响因子：
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作者：
Steinbrink, C.;van der Meer, A. A.;Cvetkovic, M.;Babazadeh, D.;Rohjans, S.;Palensky, P.;Lehnhoff, S.
通讯作者：
Lehnhoff, S.
DOI：
10.1109/sedst.2015.7315262
发表时间：
2015
期刊：
2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)
影响因子：
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作者：
F. Schloegl;S. Rohjans;S. Lehnhoff;J. Velasquez;C. Steinbrink;P. Palensky
通讯作者：
P. Palensky