Power Demand Forecasting and Load Characteristic Analysis in the East China Power Grid
As one of the most economically developed regions in China, the East China region has long held a significant position in national electricity demand. With the regional economy gradually transitioning from a phase of rapid growth to one of high-quality development, the structure of electricity demand and load characteristics have undergone substantial changes. This study, based on the current socio-economic development status of each province and city, combines factors such as industrial structure, population growth, and electricity consumption characteristics to analyze and forecast electricity consumption and maximum power load for the years 2030 and 2035 in East China. The results indicate that while electricity demand in the region will continue to grow, the rate of growth will gradually slow. Provinces with rapid industrialization processes, such as Anhui and Fujian, are expected to experience higher electricity demand growth, whereas regions like Shanghai, which have entered a post-industrial phase, will see more stable demand growth. The load characteristics across different provinces and cities exhibit significant seasonal fluctuations, with air conditioning load having a particularly notable impact on grid load during summer and winter. Furthermore, with the development of regional clean energy sources such as wind and solar power, the power grid will face increasing challenges in terms of flexibility and stability. By analyzing the development of power sources and grid planning in East China, this study provides a reference for the future construction of the East China power grid.
Authors
- Yingbei Yao
- Zhanxing Xu (ORCID: https://orcid.org/0000-0001-7973-3802)
- Da Sang
- Lingjun Xu
- Hao Lv (ORCID: https://orcid.org/0000-0002-8116-6592)
Institutions
- State Grid Corporation of China (China) (CN)
- PowerChina (China) (CN)
- Powerchina Huadong Engineering Corporation (China) (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iaecst64597.2024.11117313
- Primary Topic
- Smart Grid and Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00