Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price
With the implementation of the“ double carbon”target, the penetration rate of DG from intermittent distributed power sources in active distribution networks is increasing, which brings about increasingly prominent problems such as voltage overruns and network blockages. Intelligent soft switch SOPs...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | Chinese |
| Published: |
Harbin University of Science and Technology Publications
2024-08-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2356 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839636359058292736 |
|---|---|
| author | QIU Cheng ZHAO Wanjian LI Xincong ZHANG Mingze FEI Fei PENG Haohua ZHOU Jianqiao SHI Gang ZHANG Jianwen |
| author_facet | QIU Cheng ZHAO Wanjian LI Xincong ZHANG Mingze FEI Fei PENG Haohua ZHOU Jianqiao SHI Gang ZHANG Jianwen |
| author_sort | QIU Cheng |
| collection | DOAJ |
| description | With the implementation of the“ double carbon”target, the penetration rate of DG from intermittent distributed power sources in active distribution networks is increasing, which brings about increasingly prominent problems such as voltage overruns and network blockages. Intelligent soft switch SOPs can replace contact switches in the distribution network. During normal operation, SOPs can achieve real-time voltage regulation and tide control, provide fast fault isolation and power supply restoration, and improve the controllability of the distribution network. Due to the high configuration cost of SOPs, the problem of their siting and capacity setting becomes the core of the problem. In the paper, an optimal SOP configuration method based on locational marginal price (LMP) is proposed. Firstly, for the uncertainty of DG operation, a typical scenario is generated using a fuzzy clustering approach, and the optimal SOP access location is determined through a siting strategy based on improving the the distribution of locational marginal price
in the system; on this basis, a two-layer model with the lowest annual operating cost of the system in the upper layer and the lowest system operating losses in the lower layer is established. The model is combined with the cone planning method to optimize the siting and solved. Finally, the feasibility of the SOP configuration scheme proposed in the paper is verified by using the improved IEEE33 the distribution of locational marginal price as an example. The results show that the method proposed in the paper can effectively improve the distribution of locational marginal price, reduce the comprehensive annual operating costs of the distribution network and improve the system operating economy. |
| format | Article |
| id | doaj-art-8146ec7bc4d44b9bae90c98c4d78184f |
| institution | Matheson Library |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2024-08-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-8146ec7bc4d44b9bae90c98c4d78184f2025-07-08T02:13:51ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832024-08-01290411412210.15938/j.jhust.2024.04.013Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal PriceQIU Cheng0ZHAO Wanjian1LI Xincong2ZHANG Mingze3FEI Fei4PENG Haohua5ZHOU Jianqiao6SHI Gang7ZHANG Jianwen8Economic and Technological Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200233 , ChinaEconomic and Technological Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200233 , ChinaEconomic and Technological Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200233 , ChinaEconomic and Technological Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200233 , ChinaEconomic and Technological Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200233 , ChinaThe Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240 , ChinaThe Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240 , ChinaThe Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240 , ChinaThe Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240 , ChinaWith the implementation of the“ double carbon”target, the penetration rate of DG from intermittent distributed power sources in active distribution networks is increasing, which brings about increasingly prominent problems such as voltage overruns and network blockages. Intelligent soft switch SOPs can replace contact switches in the distribution network. During normal operation, SOPs can achieve real-time voltage regulation and tide control, provide fast fault isolation and power supply restoration, and improve the controllability of the distribution network. Due to the high configuration cost of SOPs, the problem of their siting and capacity setting becomes the core of the problem. In the paper, an optimal SOP configuration method based on locational marginal price (LMP) is proposed. Firstly, for the uncertainty of DG operation, a typical scenario is generated using a fuzzy clustering approach, and the optimal SOP access location is determined through a siting strategy based on improving the the distribution of locational marginal price in the system; on this basis, a two-layer model with the lowest annual operating cost of the system in the upper layer and the lowest system operating losses in the lower layer is established. The model is combined with the cone planning method to optimize the siting and solved. Finally, the feasibility of the SOP configuration scheme proposed in the paper is verified by using the improved IEEE33 the distribution of locational marginal price as an example. The results show that the method proposed in the paper can effectively improve the distribution of locational marginal price, reduce the comprehensive annual operating costs of the distribution network and improve the system operating economy.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2356distributed generationlocational marginal pricesecond order cone planningoptimal siting and sizingscene reduc- tion |
| spellingShingle | QIU Cheng ZHAO Wanjian LI Xincong ZHANG Mingze FEI Fei PENG Haohua ZHOU Jianqiao SHI Gang ZHANG Jianwen Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price Journal of Harbin University of Science and Technology distributed generation locational marginal price second order cone planning optimal siting and sizing scene reduc- tion |
| title | Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price |
| title_full | Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price |
| title_fullStr | Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price |
| title_full_unstemmed | Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price |
| title_short | Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price |
| title_sort | optimal configuration of intelligent soft switches in active distribution networks based on locational marginal price |
| topic | distributed generation locational marginal price second order cone planning optimal siting and sizing scene reduc- tion |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2356 |
| work_keys_str_mv | AT qiucheng optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT zhaowanjian optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT lixincong optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT zhangmingze optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT feifei optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT penghaohua optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT zhoujianqiao optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT shigang optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice AT zhangjianwen optimalconfigurationofintelligentsoftswitchesinactivedistributionnetworksbasedonlocationalmarginalprice |