PDF(2569 KB)
Multi-Time-Scale Hierarchical Optimization Scheduling Method for DC Power Transmission Systems Considering Source-Load Matching Deviation
WANG He, LI Zeren, YU Hua’nan, BIAN Jing, LI Shiqiang
Electric Power Construction ›› 2026, Vol. 47 ›› Issue (1) : 63-78.
PDF(2569 KB)
PDF(2569 KB)
Multi-Time-Scale Hierarchical Optimization Scheduling Method for DC Power Transmission Systems Considering Source-Load Matching Deviation
[Objective] To enhance the economic efficiency of large-scale cross-regional and cross-provincial wind and solar power absorption，a multi-time-scale hierarchical optimization scheduling method for DC power transmission systems considering the source-load matching deviation is proposed. [Methods] A user electricity price correction method considering the source-load matching deviation is proposed. A load demand response model based on the Logistic function fuzzy response mechanism is established. The response-induced user load and transmission electricity price are obtained through dynamic electricity prices. In the day-ahead time scale，the transmission and receiving electricity willingness at the sending and receiving ends at different times is represented by the transmission and receiving electricity prices at the sending and receiving ends through the interconnection line，and a day-ahead optimization scheduling model considering the transmission willingness cost is proposed. In the intraday time scale，a wind and solar random component description method combining fuzzy parameters and t-location-scale distribution is proposed. It is combined with the day-ahead scheduling results as the input，and an intraday cross-regional and cross-provincial hierarchical optimization scheduling model is constructed based on the DC power adjustment strategy. [Conclusions] The case study verifies that the proposed dynamic correction method of user electricity price considering the source-load matching deviation can quantify the supply-demand deviation，and guide the load to actively track the curve of new energy power generation through the load demand response model based on the Logistic function fuzzy response mechanism； the scheduling model considering the transmission willingness cost can optimize the regional wind and solar resource allocation，reduce the output fluctuation of thermal power units and improve the system economic efficiency； the intraday hierarchical optimization model adjusts the scheduling mode dynamically，avoids local excessive adjustment，and improves the calculation efficiency by 22.82 seconds while achieving the coordinated optimization of economic efficiency and operational efficiency. [Conclusions] The proposed multi-time-scale hierarchical optimization scheduling method for DC power transmission systems considering source-load matching deviation can significantly enhance the wind and solar power absorption capacity when high penetrations of new energy are integrated into DC power transmission systems. It can not only shorten the scheduling calculation time but also effectively reduce the operational economic cost of the system.
source-load matching deviation / multi-time-scale / hierarchical optimization / DC power adjustment / cross-provincial scheduling model
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