Affiliation:
1. Huadian Zhengzhou Mechanical Design Institute Co., Ltd., Zhengzhou 450001, China
2. School of Hydraulic and Civil Engineering, Zhengzhou University, Zhengzhou 450000, China
3. School of Mechanical and Storage and Transportation Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Abstract
The large-scale rural home hotel clusters have brought huge pressure to the rural power grid. However, the load of rural home hotels not only has the inherent characteristics of rural residential buildings but is also greatly impacted by the occupancy rate, which is very different from conventional buildings. Therefore, the existing peak shifting strategies are difficult to apply to rural home hotels. In view of the above problems, this study took a typical visitor village in Zhejiang Province as the research object, which had more than 470 rural home hotels. First, through a basic information survey and power load data collection, the characteristics of its power load for heating, cooling and transition months were studied, and a “No Visitors Day” model was proposed, which was split to obtain the seasonal load curve for air conditioning. Then, combined with the characteristics of the air conditioning power load and the natural conditions of the rural house, a cluster control peak-load-shifting system using phase change energy storage was proposed, and the system control logic was determined and established. Finally, the collected power load data was brought into the model for actual case analysis to verify its feasibility and the effect of peak-load shifting. The results showed that due to the influence of the number of tourists, the electricity loads on weekends and holidays were higher, especially the electricity load of air conditioning equipment in the heating and cooling seasons. An actual case was simulated to verify the peak-shifting effect of the proposed regulation strategy; it was found that the maximum peak load of the cluster was reduced by 61.6%, and the peak–valley difference was 28.6% of that before peak shifting.
Funder
Science and Technology Project of China Huadian Technology and Industry Co., Ltd
Subject
Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering
Reference41 articles.
1. Investigation in winter environment of rural residents in targeted poverty alleviation areas;Zhou;Build. Sci.,2022
2. Linear optimal operation model and algorithm for active distribution network in rural areas;Niu;Trans. Chin. Soc. Agric. Eng.,2013
3. Smart emergency management system in wind farms and its application: 5G technology empowerment;Chang;China Saf. Sci. J.,2022
4. Patent analysis of fire-protection technology of lithium-ion energy storage system;Cao;Energy Storage Sci. Technol.,2022
5. Heat Demand Peak Shaving in Urban Integrated Energy Systems by Demand Side Management—A Techno-economic and Environmental Approach;Arnaudo;Energy,2019