A Synergic Optimization Method for Service Scope and Load Management Technologies of Rural Power Distribution Network
Various types of electricity users in rural areas are scattered and have low load density. The average utilization rate of power grids in the distribution networks is much lower than that in urban areas. The fluctuation characteristics of the load curve of each user are different, and the average lo...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-09-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202204014 |
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| Summary: | Various types of electricity users in rural areas are scattered and have low load density. The average utilization rate of power grids in the distribution networks is much lower than that in urban areas. The fluctuation characteristics of the load curve of each user are different, and the average load is different when different users are combined together. Optimizing the energy supply scope of the distribution networks has the potential to improve the utilization rate of power equipment. At the same time, various demand-side load management measures can also be applied to adjust the load curves of various users and reduce the peak-to-valley difference in power supply. In order to realize the coordinated optimization of rural distribution network planning and the demand side load management schemes, a user aggregation and user demand load management synergic optimization model is built to comprehensively optimize the energy consumption management of each user and the energy service scope of distribution network lines. The case study shows that the coordinated optimization of the energy supply scope of the distribution networks and the demand side load management measures of users can significantly improve the average utilization rate of the rural power grid lines and auxiliary equipment and reduce the construction cost of the rural power grids. |
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| ISSN: | 1004-9649 |