Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian 116024, China
The power structure of Yunnan Province in China is dominated by hydropower, and the problem of hydropower accomodation is extremely prominent. In addition, the peak shaving in receiving-end of Yunnan hydropower transmission is under great pressure. In order to fully tap the potential of power transmission lines from the west to the east in Yunnan power grid, maximize the accomodation of Yunnan hydropower and respond to the peak shaving demand of multiple power grids, this paper constructs a mixed-integer linear programming model for the inter-basin scheduling of cascaded hydropower plants, which takes into account multi-grid peak shaving and hydropower accomodation. The model uses the target weight method to transform the multi-grid peak shaving problem into a single target problem. By adjusting the weight corresponding to the average value of the absolute value of the residual load anomaly for each power grid, the target meets the demands of peak shaving among multiple power grids and hydropower accomodation. Meanwhile, by introducing the special order set constraint, an simple linearization method for the minimum duration time constraint is introduced. The method can be applied to other constraints with the same type. Finally, taking 18 hydropower plants on the main stream of the Lancang River and the Jinsha River as examples, the feasibility and effectiveness of the model are verified. The results show that the proposed method can meet the needs of multi-grid peak shaving and hydropower accomodation.
This work is supported by National Natural Science Foundation of China (No. 51979023) and Fundamental Research Funds for the Central Universities (No. DUT20JC16).
|||ZHONG Ruhong, CHENG Chuntian, LIAO Shengli, et al. Inter-basin Scheduling Method of Cascaded Hydropower Plants Considering Multi-grid Peak Shaving and Hydropower Accommodation[J]. Automation of Electric Power Systems,2021,45(14):114-122. DOI:10.7500/AEPS20200729002|