Power grid two-level dispatch strategy with participation of electric heating load

• Published in: 2021 IEEE 4th International Electrical and Energy Conference (CIEEC) pp. 1 - 5
• Main Authors: Jie, Zhang, Yongjie, Chen, Zhenxi, Lu, Zhe, Zhang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 28.05.2021
• Subjects: Cogeneration; Dispatching; Electric heating; heating satisfaction; load classification; load forecasting; Neural networks; Power grids; Process control; Real-time systems; two-tier scheduling strategy
• DOI: 10.1109/CIEEC50170.2021.9510686

Existing heating methods mostly use coal or gas heating, which has high heating costs, environmental pollution and potential safety hazards. The use of electric energy for heating is the development trend of heating technology, but the electric heating load demand is random and fluctuating, and it is not easy to control. Therefore, this paper designs an implementation process of two-level optimal dispatch strategy with the participation of electric heating load: According to the heating conditions, the load is divided into controllable load and uncontrollable load; Predict the change trend of controllable load based on the generalized regression neural network (GRNN); Design a two-level dispatching strategy at the grid-user level, the grid layer optimizes its ordered heating strategy and time-of-use electricity price strategy in real time according to load types, load change trends and user satisfaction, and the user layer adjusts electricity consumption behavior according to the grid layer dispatching strategy and feeds back satisfaction indicators; According to the heating load satisfaction, the feasibility of strategy is evaluated. The strategy designed in this paper can effectively optimize load heating, reduce heating expenditure and improve user satisfaction.