Control architecture of power systems: Modeling of purpose and function

Kai Heussen; Arshad Saleem; Morten Lind

doi:10.1109/PES.2009.5275963

Control architecture of power systems: Modeling of purpose and function

Kai Heussen, Arshad Saleem, Morten Lind

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

1321 Downloads (Pure)

Abstract

Many new technologies with novel control capabilities have been developed in the context of “smart grid” research. However, often it is not clear how these capabilities should best be integrated in the overall system operation. New operation paradigms change the traditional control architecture of power systems and it is necessary to identify requirements and functions. How does new control architecture fit with the old architecture? How can power system functions be specified independent of technology? What is the purpose of control in power systems? In this paper, a method suitable for semantically consistent modeling of control architecture is presented. The method, called Multilevel Flow Modeling (MFM), is applied to the case of system balancing. It was found that MFM is capable of capturing implicit control knowledge, which is otherwise difficult to formalize. The method has possible future applications in agent-based intelligent grids.

Original language	English
Title of host publication	IEEE Power & Energy Society General Meeting, 2009. : PES '09.
Publisher	IEEE
Publication date	2009
Pages	1-8
ISBN (Print)	978-1-4244-4241-6
DOIs	https://doi.org/10.1109/PES.2009.5275963
Publication status	Published - 2009
Event	2009 IEEE Power and Energy Society General Meeting - Calgary, Canada Duration: 26 Jul 2009 → 30 Jul 2009 https://ieeexplore.ieee.org/xpl/conhome/5230481/proceeding http://ewh.ieee.org/cmte/PESGM09/

Conference

Conference	2009 IEEE Power and Energy Society General Meeting
Country/Territory	Canada
City	Calgary
Period	26/07/2009 → 30/07/2009
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5230481/proceeding http://ewh.ieee.org/cmte/PESGM09/

Bibliographical note

Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Keywords

Smart grid concepts
Frequency control
Functional modeling
Requirement analysis
Modeling methods

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PES.2009.5275963

HeussenFinal published version, 3.19 MB

OpenUrl availability

Full text

Cite this

@inproceedings{8464c989e5414af9aab9dda33bae602d,

title = "Control architecture of power systems: Modeling of purpose and function",

abstract = "Many new technologies with novel control capabilities have been developed in the context of “smart grid” research. However, often it is not clear how these capabilities should best be integrated in the overall system operation. New operation paradigms change the traditional control architecture of power systems and it is necessary to identify requirements and functions. How does new control architecture fit with the old architecture? How can power system functions be specified independent of technology? What is the purpose of control in power systems? In this paper, a method suitable for semantically consistent modeling of control architecture is presented. The method, called Multilevel Flow Modeling (MFM), is applied to the case of system balancing. It was found that MFM is capable of capturing implicit control knowledge, which is otherwise difficult to formalize. The method has possible future applications in agent-based intelligent grids.",

keywords = "Smart grid concepts, Frequency control, Functional modeling, Requirement analysis, Modeling methods",

author = "Kai Heussen and Arshad Saleem and Morten Lind",

note = "Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 2009 IEEE Power and Energy Society General Meeting ; Conference date: 26-07-2009 Through 30-07-2009",

year = "2009",

doi = "10.1109/PES.2009.5275963",

language = "English",

isbn = "978-1-4244-4241-6",

pages = "1--8",

booktitle = "IEEE Power & Energy Society General Meeting, 2009.",

publisher = "IEEE",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/5230481/proceeding, http://ewh.ieee.org/cmte/PESGM09/",

}

TY - GEN

T1 - Control architecture of power systems: Modeling of purpose and function

AU - Heussen, Kai

AU - Saleem, Arshad

AU - Lind, Morten

N1 - Copyright: 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2009

Y1 - 2009

N2 - Many new technologies with novel control capabilities have been developed in the context of “smart grid” research. However, often it is not clear how these capabilities should best be integrated in the overall system operation. New operation paradigms change the traditional control architecture of power systems and it is necessary to identify requirements and functions. How does new control architecture fit with the old architecture? How can power system functions be specified independent of technology? What is the purpose of control in power systems? In this paper, a method suitable for semantically consistent modeling of control architecture is presented. The method, called Multilevel Flow Modeling (MFM), is applied to the case of system balancing. It was found that MFM is capable of capturing implicit control knowledge, which is otherwise difficult to formalize. The method has possible future applications in agent-based intelligent grids.

AB - Many new technologies with novel control capabilities have been developed in the context of “smart grid” research. However, often it is not clear how these capabilities should best be integrated in the overall system operation. New operation paradigms change the traditional control architecture of power systems and it is necessary to identify requirements and functions. How does new control architecture fit with the old architecture? How can power system functions be specified independent of technology? What is the purpose of control in power systems? In this paper, a method suitable for semantically consistent modeling of control architecture is presented. The method, called Multilevel Flow Modeling (MFM), is applied to the case of system balancing. It was found that MFM is capable of capturing implicit control knowledge, which is otherwise difficult to formalize. The method has possible future applications in agent-based intelligent grids.

KW - Smart grid concepts

KW - Frequency control

KW - Functional modeling

KW - Requirement analysis

KW - Modeling methods

U2 - 10.1109/PES.2009.5275963

DO - 10.1109/PES.2009.5275963

M3 - Article in proceedings

SN - 978-1-4244-4241-6

SP - 1

EP - 8

BT - IEEE Power & Energy Society General Meeting, 2009.

PB - IEEE

T2 - 2009 IEEE Power and Energy Society General Meeting

Y2 - 26 July 2009 through 30 July 2009

ER -

Control architecture of power systems: Modeling of purpose and function

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

OpenUrl availability

Fingerprint

Cite this