Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation
The growing penetration of renewable energy resources in distribution networks demands for more active management tools. As a new controllable resource, dynamic network reconfiguration (DNR) can improve the flexibility of active distribution network, and in turn decreasing the operation cost of the...
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| Vydáno v: | IET generation, transmission & distribution Ročník 13; číslo 19; s. 4355 - 4363 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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The Institution of Engineering and Technology
08.10.2019
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| ISSN: | 1751-8687, 1751-8695 |
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| Abstract | The growing penetration of renewable energy resources in distribution networks demands for more active management tools. As a new controllable resource, dynamic network reconfiguration (DNR) can improve the flexibility of active distribution network, and in turn decreasing the operation cost of the distribution network and mitigating renewable distributed generation (RDG) curtailment. In this study, an optimisation model coordinating DNR with active network management (ANM) strategies is established, and the system structure security is evaluated. Considering the coordination of scheduling resources such as DNR switches, RDG active/reactive outputs, demand response and static var compensator, the model aims to minimise the comprehensive operation cost of distribution network and improve the consumption rate of RDG while satisfying the distribution network operation constraints. The model transformation method based on the second-order cone relaxation and variable substitution linearisation is proposed, and the original no-convex optimisation model is transformed into the mixed-integer second-order cone programming problem. Finally, the extended IEEE 33-node distribution network is utilised to conduct simulation calculation, and the results demonstrate the validity of the proposed model and its transformation method. |
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| AbstractList | The growing penetration of renewable energy resources in distribution networks demands for more active management tools. As a new controllable resource, dynamic network reconfiguration (DNR) can improve the flexibility of active distribution network, and in turn decreasing the operation cost of the distribution network and mitigating renewable distributed generation (RDG) curtailment. In this study, an optimisation model coordinating DNR with active network management (ANM) strategies is established, and the system structure security is evaluated. Considering the coordination of scheduling resources such as DNR switches, RDG active/reactive outputs, demand response and static var compensator, the model aims to minimise the comprehensive operation cost of distribution network and improve the consumption rate of RDG while satisfying the distribution network operation constraints. The model transformation method based on the second‐order cone relaxation and variable substitution linearisation is proposed, and the original no‐convex optimisation model is transformed into the mixed‐integer second‐order cone programming problem. Finally, the extended IEEE 33‐node distribution network is utilised to conduct simulation calculation, and the results demonstrate the validity of the proposed model and its transformation method. |
| Author | Miao, Shihong Li, Lixing Li, Yaowang Ye, Chang Li, Chao Liu, Ziwen Zhang, Di |
| Author_xml | – sequence: 1 givenname: Chao surname: Li fullname: Li, Chao organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China – sequence: 2 givenname: Shihong orcidid: 0000-0001-8676-3292 surname: Miao fullname: Miao, Shihong email: shmiao@hust.edu.cn organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China – sequence: 3 givenname: Yaowang surname: Li fullname: Li, Yaowang organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China – sequence: 4 givenname: Di surname: Zhang fullname: Zhang, Di organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China – sequence: 5 givenname: Chang surname: Ye fullname: Ye, Chang organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China – sequence: 6 givenname: Ziwen surname: Liu fullname: Liu, Ziwen organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China – sequence: 7 givenname: Lixing surname: Li fullname: Li, Lixing organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, People's Republic of China |
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| Keywords | power distribution control ANM RDG active-reactive outputs dynamic network reconfiguration static VAr compensators model transformation method DNR switches static var compensator renewable distributed generation curtailment renewable energy resources active management tools active distribution network optimisation optimisation active network management mixed-integer second-order cone programming problem system structure security evaluation no-convex optimisation model distribution network operation constraints extended IEEE 33-node distribution network controllable resource second-order cone relaxation variable substitution linearisation scheduling resources demand response |
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| SubjectTerms | active distribution network optimisation active management tools active network management ANM controllable resource demand response distribution network operation constraints DNR switches dynamic network reconfiguration extended IEEE 33‐node distribution network mixed‐integer second‐order cone programming problem model transformation method no‐convex optimisation model optimisation power distribution control RDG active‐reactive outputs renewable distributed generation curtailment renewable energy resources Research Article scheduling resources second‐order cone relaxation static var compensator static VAr compensators system structure security evaluation variable substitution linearisation |
| Title | Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation |
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