Cascade Hydropower Stations Short-Term Operation for Load Distribution Considering Water Level Synchronous Variation

2021 ◽  
Author(s):  
Kaixuan Lei ◽  
Jianxia Chang ◽  
Yimin Wang ◽  
Aijun Guo ◽  
Mengdi Huang
Keyword(s):  
Water Level ◽  
Load Distribution ◽  
Short Term ◽  
Term Operation ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

Study on optimization of the short-term operation of cascade hydropower stations by considering output error

2017 ◽  
Vol 549 ◽  
pp. 326-339 ◽  
Author(s):  
Liping Wang ◽  
Boquan Wang ◽  
Pu Zhang ◽  
Minghao Liu ◽  
Chuangang Li
Keyword(s):  
Short Term ◽  
Term Operation ◽  
Output Error ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

scholarly journals Research on Short-term Multi-objective Optimization Scheduling oriented Peak Regulation of Power Network

2018 ◽  
Vol 246 ◽  
pp. 01026
Author(s):  
Mo Li ◽  
Yongqiang Wang ◽  
Xinwen Gao ◽  
Shen Qin
Keyword(s):  
Power Generation ◽  
Power Grid ◽  
Multi Objective Optimization ◽  
Short Term ◽  
Multi Objective ◽  
Generation Planning ◽  
Power Generation Planning ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations ◽  
Optimization Scheduling

With the succession of river basins and inter-basin hydropower stations, the joint optimal operation of cascade hydropower stations in the river basin has large-scale, nonlinear, strong coupling, and multi-target characteristics, and must consider the effects of hydrometeorology, water demand, and power grid security. Focusing on the preparation of short-term power generation plans for cascade hydropower stations on the Qingjiang River, a comprehensive multi-objetive power generation planning model with the largest total power generation and the least load variance on the power grid is established. Based on the constraint processing method of multi-objective optimization scheduling in long-term, the optimal flow distribution technology is adopted to improve the accuracy of power generation planning. The above model is solved by using SMPSO. The results show that the improved algorithm can effectively overcome the shortcomings of slow convergence speed and easy convergence to local optimum. It can improve the power generation efficiency of the whole cascade while responding to the peaking demand of the power grid and provide a new solution to the short-term power generation planning ideas.

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