Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology
This paper presents the important features of structure-dependent model predictive control (MPC)-based approaches for automatic generation control (AGC) considering network topology. Since power systems have various generators under different topologies, it is necessary to reflect the characteristic...
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Online Access: | http://www.mdpi.com/1996-1073/8/5/3437 |
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doaj-0c8c1829d1354d9bb8a91a93bfbe93742020-11-24T23:46:58ZengMDPI AGEnergies1996-10732015-04-01853437345410.3390/en8053437en8053437Designing Structure-Dependent MPC-Based AGC Schemes Considering Network TopologyYoung-Sik Jang0JoonHyung Park1Yong Tae Yoon2Seoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, KoreaSeoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, KoreaSeoul National University, Gwanak-ro 599, Gwanak-gu, Seoul 151-744, KoreaThis paper presents the important features of structure-dependent model predictive control (MPC)-based approaches for automatic generation control (AGC) considering network topology. Since power systems have various generators under different topologies, it is necessary to reflect the characteristics of generators in power networks and the control system structures in order to improve the dynamic performance of AGC. Specifically, considering control system structures is very important because not only can the topological problems be reduced, but also a computing system for AGC in a bulk-power system can be realized. Based on these considerations, we propose new schemes in the proposed controller for minimizing inadvertent line flows and computational burden, which strengthen the advantages of MPC-based approach for AGC. Analysis and simulation results in the IEEE 39-bus model system show different dynamic behaviors among structure-dependent control schemes and possible improvements in computational burden via the proposed control scheme while system operators in each balancing area consider physical load reference ramp constraints among generators.http://www.mdpi.com/1996-1073/8/5/3437automatic generation controlline flow controlmodel predictive controlnetwork topology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Young-Sik Jang JoonHyung Park Yong Tae Yoon |
spellingShingle |
Young-Sik Jang JoonHyung Park Yong Tae Yoon Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology Energies automatic generation control line flow control model predictive control network topology |
author_facet |
Young-Sik Jang JoonHyung Park Yong Tae Yoon |
author_sort |
Young-Sik Jang |
title |
Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology |
title_short |
Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology |
title_full |
Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology |
title_fullStr |
Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology |
title_full_unstemmed |
Designing Structure-Dependent MPC-Based AGC Schemes Considering Network Topology |
title_sort |
designing structure-dependent mpc-based agc schemes considering network topology |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2015-04-01 |
description |
This paper presents the important features of structure-dependent model predictive control (MPC)-based approaches for automatic generation control (AGC) considering network topology. Since power systems have various generators under different topologies, it is necessary to reflect the characteristics of generators in power networks and the control system structures in order to improve the dynamic performance of AGC. Specifically, considering control system structures is very important because not only can the topological problems be reduced, but also a computing system for AGC in a bulk-power system can be realized. Based on these considerations, we propose new schemes in the proposed controller for minimizing inadvertent line flows and computational burden, which strengthen the advantages of MPC-based approach for AGC. Analysis and simulation results in the IEEE 39-bus model system show different dynamic behaviors among structure-dependent control schemes and possible improvements in computational burden via the proposed control scheme while system operators in each balancing area consider physical load reference ramp constraints among generators. |
topic |
automatic generation control line flow control model predictive control network topology |
url |
http://www.mdpi.com/1996-1073/8/5/3437 |
work_keys_str_mv |
AT youngsikjang designingstructuredependentmpcbasedagcschemesconsideringnetworktopology AT joonhyungpark designingstructuredependentmpcbasedagcschemesconsideringnetworktopology AT yongtaeyoon designingstructuredependentmpcbasedagcschemesconsideringnetworktopology |
_version_ |
1725491346246991872 |