Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network
In a cyber-physical power system, active distribution network (ADN) facilitates the energy control through hierarchical and distributed control system (HDCS). Various researches have dedicated to develop the control strategies of primary devices of ADN. However, an ADN demonstration project shows th...
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Online Access: | https://ieeexplore.ieee.org/document/9086990/ |
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doaj-42d3011933d2472abde89b3782f6bf9d2021-04-23T16:10:34ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202020-01-018354955610.35833/MPCE.2018.0001919086990Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution NetworkYun Wang0Dong Liu1Xiaochun Xu2Hui Dai3State Grid Shanghai Electric Power Research Institute,ChinaShanghai Jiao Tong University,Electrical Engineering Department,ChinaState Grid Jiangsu Huai'an Power Supply Company,ChinaState Grid Jiangsu Huai'an Power Supply Company,ChinaIn a cyber-physical power system, active distribution network (ADN) facilitates the energy control through hierarchical and distributed control system (HDCS). Various researches have dedicated to develop the control strategies of primary devices of ADN. However, an ADN demonstration project shows that the information transmission of HDCS may cause time delay and response lag, and little model can describe both the ADN primary device and HDCS as a cyber-physical system (CPS). In this paper, a hybrid system based CPS model is proposed to describe ADN primary devices, control information flow, and HDCS. Using the CPS model, the energy process of primary devices and the information process of HDCS are optimized by model predictive control (MPC) methodology to seamlessly integrate the energy flow and the information flow. The case study demonstrates that the proposed CPS model can accurately reflect main features of HDCS, and the control technique can effectively achieve the operation targets on primary devices despite the fact that HDCS brings adverse effects to control process.https://ieeexplore.ieee.org/document/9086990/Active distribution network (ADN)cyber-physical system (CPS)hybrid systemhierarchical and distributed control system |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yun Wang Dong Liu Xiaochun Xu Hui Dai |
spellingShingle |
Yun Wang Dong Liu Xiaochun Xu Hui Dai Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network Journal of Modern Power Systems and Clean Energy Active distribution network (ADN) cyber-physical system (CPS) hybrid system hierarchical and distributed control system |
author_facet |
Yun Wang Dong Liu Xiaochun Xu Hui Dai |
author_sort |
Yun Wang |
title |
Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network |
title_short |
Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network |
title_full |
Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network |
title_fullStr |
Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network |
title_full_unstemmed |
Cyber-physical Power System Modeling for Timing-driven Control of Active Distribution Network |
title_sort |
cyber-physical power system modeling for timing-driven control of active distribution network |
publisher |
IEEE |
series |
Journal of Modern Power Systems and Clean Energy |
issn |
2196-5420 |
publishDate |
2020-01-01 |
description |
In a cyber-physical power system, active distribution network (ADN) facilitates the energy control through hierarchical and distributed control system (HDCS). Various researches have dedicated to develop the control strategies of primary devices of ADN. However, an ADN demonstration project shows that the information transmission of HDCS may cause time delay and response lag, and little model can describe both the ADN primary device and HDCS as a cyber-physical system (CPS). In this paper, a hybrid system based CPS model is proposed to describe ADN primary devices, control information flow, and HDCS. Using the CPS model, the energy process of primary devices and the information process of HDCS are optimized by model predictive control (MPC) methodology to seamlessly integrate the energy flow and the information flow. The case study demonstrates that the proposed CPS model can accurately reflect main features of HDCS, and the control technique can effectively achieve the operation targets on primary devices despite the fact that HDCS brings adverse effects to control process. |
topic |
Active distribution network (ADN) cyber-physical system (CPS) hybrid system hierarchical and distributed control system |
url |
https://ieeexplore.ieee.org/document/9086990/ |
work_keys_str_mv |
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1721512526410153984 |