An approach for establishing a common grid model for flow-based market mechanism simulations
The discussions on the development of an electricity market model for accommodating cross-border cooperation remains active in Europe. The main interest is the establishment of market couplings without curtailing the fair use of the scarce transmission capacity. However, it is difficult to gain mutu...
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Format: | Article |
Language: | English |
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China electric power research institute
2019-09-01
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Series: | CSEE Journal of Power and Energy Systems |
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Online Access: | https://ieeexplore.ieee.org/document/8779806 |
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author | Phen Chiak See Olav Bjarte Fosso Kuan Yew Wong Marta Molinas |
author_facet | Phen Chiak See Olav Bjarte Fosso Kuan Yew Wong Marta Molinas |
author_sort | Phen Chiak See |
collection | DOAJ |
description | The discussions on the development of an electricity market model for accommodating cross-border cooperation remains active in Europe. The main interest is the establishment of market couplings without curtailing the fair use of the scarce transmission capacity. However, it is difficult to gain mutual consensus on this subject because of the absence of convincing simulation results for the entire region. To achieve that, researchers need a common grid model (CGM) which is a simplified representation of the detailed transmission model which comprises aggregated buses and transmission lines. A CGM should sufficiently represent the inter-area power flow characteristics. Generally, it is difficult to establish a standard CGM that represents the actual transmission network with a sufficient degree of exactness because it requires knowledge on the details of the transmission network, which are undisclosed. This paper addresses the issue and reviews the existing approaches in transmission network approximation, and their shortcomings. Then, it proposes a new approach called the adaptive CGM approximation (ACA) for serving the purpose. The ACA is a datadriven approach, developed based on the direct current power flow theory. It is able to construct a CGM based on the published power flow data between the inter-connected market areas. This is done by solving the issue as a non-linear model fitting problem. The method is validated using three case studies. |
first_indexed | 2024-12-20T06:50:09Z |
format | Article |
id | doaj.art-296bc29ff7ec42d0ab8e05bcbd6c6984 |
institution | Directory Open Access Journal |
issn | 2096-0042 2096-0042 |
language | English |
last_indexed | 2024-12-20T06:50:09Z |
publishDate | 2019-09-01 |
publisher | China electric power research institute |
record_format | Article |
series | CSEE Journal of Power and Energy Systems |
spelling | doaj.art-296bc29ff7ec42d0ab8e05bcbd6c69842022-12-21T19:49:34ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422096-00422019-09-015337438110.17775/CSEEJPES.2018.01270An approach for establishing a common grid model for flow-based market mechanism simulationsPhen Chiak See0Olav Bjarte Fosso1Kuan Yew Wong2Marta Molinas3Department of Electric Power Engineering, Norwegian University of Science and Technology, 7491, TrondheimDepartment of Electric Power Engineering, Norwegian University of Science and Technology, 7491, TrondheimSchool of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, MalaysiaDepartment of Electric Power Engineering, Norwegian University of Science and Technology, 7491, TrondheimThe discussions on the development of an electricity market model for accommodating cross-border cooperation remains active in Europe. The main interest is the establishment of market couplings without curtailing the fair use of the scarce transmission capacity. However, it is difficult to gain mutual consensus on this subject because of the absence of convincing simulation results for the entire region. To achieve that, researchers need a common grid model (CGM) which is a simplified representation of the detailed transmission model which comprises aggregated buses and transmission lines. A CGM should sufficiently represent the inter-area power flow characteristics. Generally, it is difficult to establish a standard CGM that represents the actual transmission network with a sufficient degree of exactness because it requires knowledge on the details of the transmission network, which are undisclosed. This paper addresses the issue and reviews the existing approaches in transmission network approximation, and their shortcomings. Then, it proposes a new approach called the adaptive CGM approximation (ACA) for serving the purpose. The ACA is a datadriven approach, developed based on the direct current power flow theory. It is able to construct a CGM based on the published power flow data between the inter-connected market areas. This is done by solving the issue as a non-linear model fitting problem. The method is validated using three case studies.https://ieeexplore.ieee.org/document/8779806Common grid modelflow-based market mechanismgenetic algorithmslinear optimal power flow problems |
spellingShingle | Phen Chiak See Olav Bjarte Fosso Kuan Yew Wong Marta Molinas An approach for establishing a common grid model for flow-based market mechanism simulations CSEE Journal of Power and Energy Systems Common grid model flow-based market mechanism genetic algorithms linear optimal power flow problems |
title | An approach for establishing a common grid model for flow-based market mechanism simulations |
title_full | An approach for establishing a common grid model for flow-based market mechanism simulations |
title_fullStr | An approach for establishing a common grid model for flow-based market mechanism simulations |
title_full_unstemmed | An approach for establishing a common grid model for flow-based market mechanism simulations |
title_short | An approach for establishing a common grid model for flow-based market mechanism simulations |
title_sort | approach for establishing a common grid model for flow based market mechanism simulations |
topic | Common grid model flow-based market mechanism genetic algorithms linear optimal power flow problems |
url | https://ieeexplore.ieee.org/document/8779806 |
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