Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker
Time-of-day division is an important step in the formulation of time-of-use electricity prices. The minimum and maximum continuous duration in each period have an important impact on the adjustment effect of time-of-use electricity prices. However, at present, previous studies on the time-of-use ele...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Power Engineering Technology
2025-05-01
|
| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://doi.org/10.12158/j.2096-3203.2025.03.012 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850133174008414208 |
|---|---|
| author | Yanmei LI Chengkai GU Hengjun REN Ge SI Yiwei LI |
| author_facet | Yanmei LI Chengkai GU Hengjun REN Ge SI Yiwei LI |
| author_sort | Yanmei LI |
| collection | DOAJ |
| description | Time-of-day division is an important step in the formulation of time-of-use electricity prices. The minimum and maximum continuous duration in each period have an important impact on the adjustment effect of time-of-use electricity prices. However, at present, previous studies on the time-of-use electricity price division have not taken into account the time preference of the policymaker. The different needs of policynakers for the total duration of the session, the minimum continuous duration of the session, and the maximum continuous duration within the session are considered in this paper. On the basis of cluster analysis, a time-of-use electricity price time division model considering the preference of policymakers is constructed. The proposed model calculates the distance between load values through affiliation function and Euclidean distance, with the objective function of minimizing the total similarity within each cluster. In this paper, the typical daily load data of a region in China is used to verify the rationality and effectiveness of the proposed model. The results show that the proposed method can obtain the time division results that meet the preferences of decision makers. It is found that the clustering analysis of time period using 0-1 integer linear programming is an effective method to solve the problem of policymakers' preference for duration. Under the traditional time-of-use electricity price time division model, the modified load is inconsistent with the time period electricity price. However, the time-of-use electricity price time division model considering the time preference of decision-makers has a significant corrective effect on this phenomenon. |
| format | Article |
| id | doaj-art-a11c5e98ed3d4a07907dc8ad50d6f58b |
| institution | OA Journals |
| issn | 2096-3203 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj-art-a11c5e98ed3d4a07907dc8ad50d6f58b2025-08-20T02:32:03ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032025-05-0144313113910.12158/j.2096-3203.2025.03.012liyanmeiTime-of-day division of time-of-use electricity tariff considering duration preference of the policymakerYanmei LI0Chengkai GU1Hengjun REN2Ge SI3Yiwei LI4Department of Economic Management, North China Electric Power University, Baoding 071000, ChinaDepartment of Economic Management, North China Electric Power University, Baoding 071000, ChinaShandong Electric Power Engineering Consulting Institute Co., Ltd., Jinan 250000, ChinaState Grid Jinan Power Supply Company of Shandong Electric Power Company, Jinan 250000, ChinaChina Academy of Launch Vehicle Technology, Beijing 100076, ChinaTime-of-day division is an important step in the formulation of time-of-use electricity prices. The minimum and maximum continuous duration in each period have an important impact on the adjustment effect of time-of-use electricity prices. However, at present, previous studies on the time-of-use electricity price division have not taken into account the time preference of the policymaker. The different needs of policynakers for the total duration of the session, the minimum continuous duration of the session, and the maximum continuous duration within the session are considered in this paper. On the basis of cluster analysis, a time-of-use electricity price time division model considering the preference of policymakers is constructed. The proposed model calculates the distance between load values through affiliation function and Euclidean distance, with the objective function of minimizing the total similarity within each cluster. In this paper, the typical daily load data of a region in China is used to verify the rationality and effectiveness of the proposed model. The results show that the proposed method can obtain the time division results that meet the preferences of decision makers. It is found that the clustering analysis of time period using 0-1 integer linear programming is an effective method to solve the problem of policymakers' preference for duration. Under the traditional time-of-use electricity price time division model, the modified load is inconsistent with the time period electricity price. However, the time-of-use electricity price time division model considering the time preference of decision-makers has a significant corrective effect on this phenomenon.https://doi.org/10.12158/j.2096-3203.2025.03.012time-of-day divisiontime-of-use electricity tariffpreference of the policymakerminimum continuous durationmaximum continuous durationcluster analysis |
| spellingShingle | Yanmei LI Chengkai GU Hengjun REN Ge SI Yiwei LI Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker 电力工程技术 time-of-day division time-of-use electricity tariff preference of the policymaker minimum continuous duration maximum continuous duration cluster analysis |
| title | Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker |
| title_full | Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker |
| title_fullStr | Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker |
| title_full_unstemmed | Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker |
| title_short | Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker |
| title_sort | time of day division of time of use electricity tariff considering duration preference of the policymaker |
| topic | time-of-day division time-of-use electricity tariff preference of the policymaker minimum continuous duration maximum continuous duration cluster analysis |
| url | https://doi.org/10.12158/j.2096-3203.2025.03.012 |
| work_keys_str_mv | AT yanmeili timeofdaydivisionoftimeofuseelectricitytariffconsideringdurationpreferenceofthepolicymaker AT chengkaigu timeofdaydivisionoftimeofuseelectricitytariffconsideringdurationpreferenceofthepolicymaker AT hengjunren timeofdaydivisionoftimeofuseelectricitytariffconsideringdurationpreferenceofthepolicymaker AT gesi timeofdaydivisionoftimeofuseelectricitytariffconsideringdurationpreferenceofthepolicymaker AT yiweili timeofdaydivisionoftimeofuseelectricitytariffconsideringdurationpreferenceofthepolicymaker |