Software requirements for interoperable and standard -based power system modeling tools

被引:3
|
作者
Gomez, Francisco J. [1 ]
Aguilera, Miguel A. [2 ]
Olsen, Svein H. [3 ]
Vanfretti, Luigi [4 ]
机构
[1] Semantum Oy, Helsinki, Finland
[2] Inst Costarricense Elect ICE, San Jose, Costa Rica
[3] Statnett SF, Oslo, Norway
[4] Rensselaer Polytech Inst RPI, Troy, NY 12180 USA
基金
美国国家科学基金会;
关键词
CIM; Information modeling; Interoperability; ISO; Model exchange; Modelica; OpenIPSL; Power system analysis; Power system simulation; Power systems dynamics; Power systems modeling; SysML; UML;
D O I
10.1016/j.simpat.2020.102095
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Standardization processes and collaborative tools are becoming essential for interoperable modeling and simulation of power systems. The implementation of new electrical network codes at European level requires the development of a common grid modeling exchange standard. Consequently, this requires the development of dynamic models which expose their individual and integrated physical behavior in simulations used in trade-off analyses. These analyses are of particularly importance due to the increasing number of renewable variable energy sources connected to the grid. The development of such models leads to the development of new requirements for power system studies, while ensuring interoperability, security, and privacy of the models. The use of open standards for modeling and simulation could allow the export of all the necessary model information and physical behavior to guarantee consistency between software vendors and stakeholders. This work presents a formalization of functional and non-functional requirements for new standard-compliant software tools using the System Modeling Language (SysML). This work also presents the implementation of these requirements using available information modeling and equation-based modeling standards, illustrating that standards can be combined for model exchange and co-simulation by the application of the FMI standard. © 2020 Elsevier B.V.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Java']Java as a software system for distributed and interoperable geoprocessing
    Vckovski, A
    [J]. PARALLEL AND DISTRIBUTED COMPUTING SYSTEMS - PROCEEDINGS OF THE ISCA 9TH INTERNATIONAL CONFERENCE, VOLS I AND II, 1996, : 779 - 783
  • [22] A Standard-Based Software Infrastructure to Support Power System Protection in Distributed Energy Systems
    Lima, Jose
    Gomes, Vasco
    Martins, Joao
    Lima, Celson
    [J]. TECHNOLOGICAL INNOVATION FOR VALUE CREATION, 2012, 372 : 355 - 362
  • [24] Towards a Standard Flow for System Level Power Modeling
    Dhanwada, Nagu
    Davis, Rhett
    Frenkil, Jerry
    [J]. 2014 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD), 2014, : 73 - 73
  • [25] Reverse Engineering Software Tools Based on a Comprehension System
    Tenoyo, Bayu
    Mursanto, Petrus
    Santoso, Harry Budi
    [J]. 2017 7TH WORLD ENGINEERING EDUCATION FORUM (WEEF), 2017, : 202 - 209
  • [26] Requirements based system level risk modeling
    Meshkat, L
    Cornford, S
    Feather, M
    [J]. ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2004 PROCEEDINGS, 2004, : 500 - 506
  • [27] Integrating graph rewriting and standard software tools
    Assmann, U
    Lövdahl, J
    [J]. APPLICATIONS OF GRAPH TRANSFORMATIONS WITH INDUSTRIAL RELEVANCE, 2003, 3062 : 134 - 148
  • [28] Software Identification by Standard Machine Learning Tools
    Sukhoparov, M. E.
    Salakhutdinova, K., I
    Lebedev, I. S.
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2021, 55 (08) : 1175 - 1179
  • [29] Pseudo software: A mediating instrument for modeling software requirements
    Jwo, Jung-Sing
    Cheng, Yu Chin
    [J]. JOURNAL OF SYSTEMS AND SOFTWARE, 2010, 83 (04) : 599 - 608
  • [30] Software Identification by Standard Machine Learning Tools
    M. E. Sukhoparov
    K. I. Salakhutdinova
    I. S. Lebedev
    [J]. Automatic Control and Computer Sciences, 2021, 55 : 1175 - 1179