Distributed Optimal Control of DC Network Using Convex Relaxation Techniques

This paper proposes a novel distributed control strategy for DC microgrids using a convex relaxation method to ensure the system operates at the optimal power flow solution. Initially, a suitable convex relaxation technique is applied to transform the non-convex optimal power flow problem into a con...

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Main Authors: Yongbo Fu, Min Shi, Gongming Li, Zhangjie Liu, Juntao Li, Pengzhou Jia, Haiqun Yue, Xiaqing Liu, Xin Zhao, Meng Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/17/24/6431
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author Yongbo Fu
Min Shi
Gongming Li
Zhangjie Liu
Juntao Li
Pengzhou Jia
Haiqun Yue
Xiaqing Liu
Xin Zhao
Meng Wang
author_facet Yongbo Fu
Min Shi
Gongming Li
Zhangjie Liu
Juntao Li
Pengzhou Jia
Haiqun Yue
Xiaqing Liu
Xin Zhao
Meng Wang
author_sort Yongbo Fu
collection DOAJ
description This paper proposes a novel distributed control strategy for DC microgrids using a convex relaxation method to ensure the system operates at the optimal power flow solution. Initially, a suitable convex relaxation technique is applied to transform the non-convex optimal power flow problem into a convex form, with the accuracy of this method being rigorously demonstrated. Next, the Karush–Kuhn–Tucker (KKT) optimality conditions of the relaxed problem are equivalently transformed, and a synchronization term is derived to facilitate the distributed control, thereby ensuring operation under optimal power flow. This paper also analyzes the impacts of communication delay and network structure on the performance of the proposed control strategy. Finally, simulations and numerical experiments are presented to validate the effectiveness of the proposed method.
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issn 1996-1073
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series Energies
spelling doaj-art-41f9212de5dd4a4cbea58c259aa629842025-08-20T02:53:41ZengMDPI AGEnergies1996-10732024-12-011724643110.3390/en17246431Distributed Optimal Control of DC Network Using Convex Relaxation TechniquesYongbo Fu0Min Shi1Gongming Li2Zhangjie Liu3Juntao Li4Pengzhou Jia5Haiqun Yue6Xiaqing Liu7Xin Zhao8Meng Wang9State Grid Handan Electric Power Co., Ltd., Handan 056011, ChinaState Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050022, ChinaState Grid Handan Electric Power Co., Ltd., Handan 056011, ChinaNARI Technology Nanjing Control Systems Co., Ltd., Nanjing 211106, ChinaState Grid Handan Electric Power Co., Ltd., Handan 056011, ChinaState Grid Handan Electric Power Co., Ltd., Handan 056011, ChinaState Grid Handan Electric Power Co., Ltd., Handan 056011, ChinaState Grid Handan Electric Power Co., Ltd., Handan 056011, ChinaState Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050022, ChinaNARI Technology Nanjing Control Systems Co., Ltd., Nanjing 211106, ChinaThis paper proposes a novel distributed control strategy for DC microgrids using a convex relaxation method to ensure the system operates at the optimal power flow solution. Initially, a suitable convex relaxation technique is applied to transform the non-convex optimal power flow problem into a convex form, with the accuracy of this method being rigorously demonstrated. Next, the Karush–Kuhn–Tucker (KKT) optimality conditions of the relaxed problem are equivalently transformed, and a synchronization term is derived to facilitate the distributed control, thereby ensuring operation under optimal power flow. This paper also analyzes the impacts of communication delay and network structure on the performance of the proposed control strategy. Finally, simulations and numerical experiments are presented to validate the effectiveness of the proposed method.https://www.mdpi.com/1996-1073/17/24/6431DC microgriddistributed controloptimizationconvex relaxationsecond-order cone programmingstability
spellingShingle Yongbo Fu
Min Shi
Gongming Li
Zhangjie Liu
Juntao Li
Pengzhou Jia
Haiqun Yue
Xiaqing Liu
Xin Zhao
Meng Wang
Distributed Optimal Control of DC Network Using Convex Relaxation Techniques
Energies
DC microgrid
distributed control
optimization
convex relaxation
second-order cone programming
stability
title Distributed Optimal Control of DC Network Using Convex Relaxation Techniques
title_full Distributed Optimal Control of DC Network Using Convex Relaxation Techniques
title_fullStr Distributed Optimal Control of DC Network Using Convex Relaxation Techniques
title_full_unstemmed Distributed Optimal Control of DC Network Using Convex Relaxation Techniques
title_short Distributed Optimal Control of DC Network Using Convex Relaxation Techniques
title_sort distributed optimal control of dc network using convex relaxation techniques
topic DC microgrid
distributed control
optimization
convex relaxation
second-order cone programming
stability
url https://www.mdpi.com/1996-1073/17/24/6431
work_keys_str_mv AT yongbofu distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT minshi distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT gongmingli distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT zhangjieliu distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT juntaoli distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT pengzhoujia distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT haiqunyue distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT xiaqingliu distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT xinzhao distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques
AT mengwang distributedoptimalcontrolofdcnetworkusingconvexrelaxationtechniques