Calculation of the available transfer capability of trading channels based on power network congestion forecasting
Against the backdrop of increasing renewable energy penetration, frequent power network congestion has become a key issue limiting the available transfer capability of trading channels. In order to avoid power network congestion while improving the overall utilization of trading channels, we propose...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-02-01
|
| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1351306/full |
| _version_ | 1827356957989666816 |
|---|---|
| author | Congying Wei Longwen Jia Xiongwei Wang Yu Cai Ying Huang Yanbo Huang Siyang Liao |
| author_facet | Congying Wei Longwen Jia Xiongwei Wang Yu Cai Ying Huang Yanbo Huang Siyang Liao |
| author_sort | Congying Wei |
| collection | DOAJ |
| description | Against the backdrop of increasing renewable energy penetration, frequent power network congestion has become a key issue limiting the available transfer capability of trading channels. In order to avoid power network congestion while improving the overall utilization of trading channels, we propose a method for calculating the available transfer capability of a trading channel based on power network congestion forecasting. First, this study uses a histogram-based gradient tree boosting (HGTB) model to forecast the severity and probability of power network congestion, which enables power system operators to determine the specific circumstances of congestion occurrence. Second, we analyze the sensitivity of the power trading network and generating units to transmission lines, aiming to calculate the available transfer capability of the trading channel on the basis of taking into account the control of transmission line congestion and the balance of supply and demand in the power market. Finally, the validity of the validation methodology is verified based on a case study of the power system in central China. |
| first_indexed | 2024-03-08T05:17:25Z |
| format | Article |
| id | doaj.art-bec78a050abd46a681e9846b97e988a4 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-08T05:17:25Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-bec78a050abd46a681e9846b97e988a42024-02-06T16:22:13ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-02-011210.3389/fenrg.2024.13513061351306Calculation of the available transfer capability of trading channels based on power network congestion forecastingCongying Wei0Longwen Jia1Xiongwei Wang2Yu Cai3Ying Huang4Yanbo Huang5Siyang Liao6Dispatching and Control Center, Central China Branch of State Grid Corporation of China, Wuhan, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, ChinaDispatching and Control Center, Central China Branch of State Grid Corporation of China, Wuhan, ChinaDispatching and Control Center, Central China Branch of State Grid Corporation of China, Wuhan, ChinaDispatching and Control Center, Central China Branch of State Grid Corporation of China, Wuhan, ChinaDispatching and Control Center, Central China Branch of State Grid Corporation of China, Wuhan, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan, ChinaAgainst the backdrop of increasing renewable energy penetration, frequent power network congestion has become a key issue limiting the available transfer capability of trading channels. In order to avoid power network congestion while improving the overall utilization of trading channels, we propose a method for calculating the available transfer capability of a trading channel based on power network congestion forecasting. First, this study uses a histogram-based gradient tree boosting (HGTB) model to forecast the severity and probability of power network congestion, which enables power system operators to determine the specific circumstances of congestion occurrence. Second, we analyze the sensitivity of the power trading network and generating units to transmission lines, aiming to calculate the available transfer capability of the trading channel on the basis of taking into account the control of transmission line congestion and the balance of supply and demand in the power market. Finally, the validity of the validation methodology is verified based on a case study of the power system in central China.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1351306/fullfeature selectionpower network congestiondecision treetrading channelavailable transfer capability |
| spellingShingle | Congying Wei Longwen Jia Xiongwei Wang Yu Cai Ying Huang Yanbo Huang Siyang Liao Calculation of the available transfer capability of trading channels based on power network congestion forecasting Frontiers in Energy Research feature selection power network congestion decision tree trading channel available transfer capability |
| title | Calculation of the available transfer capability of trading channels based on power network congestion forecasting |
| title_full | Calculation of the available transfer capability of trading channels based on power network congestion forecasting |
| title_fullStr | Calculation of the available transfer capability of trading channels based on power network congestion forecasting |
| title_full_unstemmed | Calculation of the available transfer capability of trading channels based on power network congestion forecasting |
| title_short | Calculation of the available transfer capability of trading channels based on power network congestion forecasting |
| title_sort | calculation of the available transfer capability of trading channels based on power network congestion forecasting |
| topic | feature selection power network congestion decision tree trading channel available transfer capability |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1351306/full |
| work_keys_str_mv | AT congyingwei calculationoftheavailabletransfercapabilityoftradingchannelsbasedonpowernetworkcongestionforecasting AT longwenjia calculationoftheavailabletransfercapabilityoftradingchannelsbasedonpowernetworkcongestionforecasting AT xiongweiwang calculationoftheavailabletransfercapabilityoftradingchannelsbasedonpowernetworkcongestionforecasting AT yucai calculationoftheavailabletransfercapabilityoftradingchannelsbasedonpowernetworkcongestionforecasting AT yinghuang calculationoftheavailabletransfercapabilityoftradingchannelsbasedonpowernetworkcongestionforecasting AT yanbohuang calculationoftheavailabletransfercapabilityoftradingchannelsbasedonpowernetworkcongestionforecasting AT siyangliao calculationoftheavailabletransfercapabilityoftradingchannelsbasedonpowernetworkcongestionforecasting |