Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation

The smart distribution network (SDN) is integrating increasing distributed generation (DG) and energy storage (ES). Hosting capacity evaluation is important for SDN planning with DG. DG and ES are usually invested by users or a third party, and they may form friendly microgrids (MGs) and operate ind...

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Main Authors: Bing Sun, Ruipeng Jing, Leijiao Ge, Yuan Zeng, Shimeng Dong, Luyang Hou
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10142942/
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author Bing Sun
Ruipeng Jing
Leijiao Ge
Yuan Zeng
Shimeng Dong
Luyang Hou
author_facet Bing Sun
Ruipeng Jing
Leijiao Ge
Yuan Zeng
Shimeng Dong
Luyang Hou
author_sort Bing Sun
collection DOAJ
description The smart distribution network (SDN) is integrating increasing distributed generation (DG) and energy storage (ES). Hosting capacity evaluation is important for SDN planning with DG. DG and ES are usually invested by users or a third party, and they may form friendly microgrids (MGs) and operate independently. Traditional centralized dispatching method no longer suits for hosting capacity evaluation of SDN. A quick hosting capacity evaluation method based on distributed optimal dispatching is proposed. Firstly, a multi-objective DG hosting capacity evaluation model is established, and the hosting capacity for DG is determined by the optimal DG planning schemes. The steady-state security region method is applied to speed up the solving process of the DG hosting capacity evaluation model. Then, the optimal dispatching models are established for MG and SDN respectively to realize the operating simulation. Under the distributed dispatching strategy, the dualside optimal operation of SDN-MGs can be realized by several iterations of power exchange requirement. Finally, an SDN with four MGs is conducted considering multiple flexible resources. It shows that the DG hosting capacity of SDN oversteps the sum of the maximum active power demand and the rated branch capacity. Besides, the annual DG electricity oversteps the maximum active power demand value.
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spelling doaj.art-f2757d1ea3744204b623dcb26dff87c32024-01-27T00:03:14ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202024-01-0112112814010.35833/MPCE.2022.00060410142942Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed GenerationBing Sun0Ruipeng Jing1Leijiao Ge2Yuan Zeng3Shimeng Dong4Luyang Hou5School of Electrical and Information Engineering, Tianjin University,Tianjin,China,300072School of Electrical and Information Engineering, Tianjin University,Tianjin,China,300072School of Electrical and Information Engineering, Tianjin University,Tianjin,China,300072School of Electrical and Information Engineering, Tianjin University,Tianjin,China,300072State Grid Corporation of China,Beijing,ChinaSchool of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications,Beijing,ChinaThe smart distribution network (SDN) is integrating increasing distributed generation (DG) and energy storage (ES). Hosting capacity evaluation is important for SDN planning with DG. DG and ES are usually invested by users or a third party, and they may form friendly microgrids (MGs) and operate independently. Traditional centralized dispatching method no longer suits for hosting capacity evaluation of SDN. A quick hosting capacity evaluation method based on distributed optimal dispatching is proposed. Firstly, a multi-objective DG hosting capacity evaluation model is established, and the hosting capacity for DG is determined by the optimal DG planning schemes. The steady-state security region method is applied to speed up the solving process of the DG hosting capacity evaluation model. Then, the optimal dispatching models are established for MG and SDN respectively to realize the operating simulation. Under the distributed dispatching strategy, the dualside optimal operation of SDN-MGs can be realized by several iterations of power exchange requirement. Finally, an SDN with four MGs is conducted considering multiple flexible resources. It shows that the DG hosting capacity of SDN oversteps the sum of the maximum active power demand and the rated branch capacity. Besides, the annual DG electricity oversteps the maximum active power demand value.https://ieeexplore.ieee.org/document/10142942/Smart distribution network (SDN)microgridhosting capacitymulti-objective optimizationdistributed optimal dispatchingflexible resource
spellingShingle Bing Sun
Ruipeng Jing
Leijiao Ge
Yuan Zeng
Shimeng Dong
Luyang Hou
Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation
Journal of Modern Power Systems and Clean Energy
Smart distribution network (SDN)
microgrid
hosting capacity
multi-objective optimization
distributed optimal dispatching
flexible resource
title Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation
title_full Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation
title_fullStr Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation
title_full_unstemmed Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation
title_short Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation
title_sort quick hosting capacity evaluation based on distributed dispatching for smart distribution network planning with distributed generation
topic Smart distribution network (SDN)
microgrid
hosting capacity
multi-objective optimization
distributed optimal dispatching
flexible resource
url https://ieeexplore.ieee.org/document/10142942/
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AT yuanzeng quickhostingcapacityevaluationbasedondistributeddispatchingforsmartdistributionnetworkplanningwithdistributedgeneration
AT shimengdong quickhostingcapacityevaluationbasedondistributeddispatchingforsmartdistributionnetworkplanningwithdistributedgeneration
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