Long-term optimal operation of cascade hydropower stations based on the utility function of the carryover potential energy

2020 ◽  
Vol 580 ◽  
pp. 124359 ◽  
Author(s):  
Qiao-Feng Tan ◽  
Xin Wen ◽  
Guo-Hua Fang ◽  
Yong-Qiang Wang ◽  
Guang-Hua Qin ◽  
...  
Keyword(s):  
Potential Energy ◽  
Utility Function ◽  
Optimal Operation ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

scholarly journals A rapid solution adjustment strategy in solving Long-term scheduling of large cascade hydropower stations

2018 ◽  
Vol 246 ◽  
pp. 01123
Author(s):  
Chao Wang ◽  
Liang Ji ◽  
Peibing Song ◽  
Xin Hu ◽  
Jiahui Sun
Keyword(s):  
Power Generation ◽  
Linear Optimization ◽  
Electrical Power ◽  
Optimal Operation ◽  
Electrical Power System ◽  
Adjustment Strategy ◽  
Cascade Hydropower Stations ◽  
Rapid Adjustment ◽  
Hydropower Stations

Due to the great potential of large cascade hydropower stations on power generation, long-term scheduling of large cascade hydropower stations (LSLCHS) plays an important role in electrical power system. As more and more concentrations focused on the optimal operation of large cascade hydropower stations, the LSLCHS has been taken into a multi-dimensional, non-convex and non-linear optimization problem due to its complicated hydraulic connection relationships and varieties of complex constraints with considering its power generation, shipping and ecological characteristics. In order to solve this problem, a strategy of solution rapid adjustment regarding the principle of monotone principle is proposed accordingly. The simulation results show that the proposed method is an efficient for solving joint optimization dispatch model of cascade hydropower stations with fast convergent rate, strong robustness.

scholarly journals An Improved Slime Mold Algorithm and its Application for Optimal Operation of Cascade Hydropower Stations

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 226754-226772
Author(s):  
Trong-The Nguyen ◽  
Hong-Jiang Wang ◽  
Thi-Kien Dao ◽  
Jeng-Shyang Pan ◽  
Jian-Hua Liu ◽  
...  
Keyword(s):  
Optimal Operation ◽  
Slime Mold ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

Long-term scheduling of large cascade hydropower stations in Jinsha River, China

2015 ◽  
Vol 90 ◽  
pp. 476-487 ◽  
Author(s):  
Chao Wang ◽  
Jianzhong Zhou ◽  
Peng Lu ◽  
Liu Yuan
Keyword(s):  
Jinsha River ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

Cascade Reservoirs Optimal Scheduling Method Based on Chaotic Ant Colony Algorithm

2014 ◽  
Vol 919-921 ◽  
pp. 1230-1233
Author(s):  
Zhong Hao Zhu ◽  
Hong Min Gao
Keyword(s):  
Ant Colony Algorithm ◽  
Optimal Scheduling ◽  
Ant Colony ◽  
Effective Solution ◽  
Cascade Reservoirs ◽  
Cascade Hydropower Stations ◽  
Scheduling Method ◽  
Generation Capacity ◽  
Hydropower Stations

On the basis of the analysis of the basic information of the river basin reservoirs and application of chaotic ant colony algorithm, the medium-and long-term optimization operation model is established, which regards the maximum annual generation capacity of the cascade hydropower stations as the main purpose. The simulation result shows the algorithm improves the total annual power generation of the cascade reservoirs, and finally provides an effective solution to solve the cascade reservoirs optimization operation problem.

Review on Optimal Operation Models and Intelligent Solving Algorithms of Cascade Hydropower Stations

2021 ◽  
Author(s):  
Dajun Si ◽  
Shuhao Liang ◽  
Peng Sun ◽  
Yaowu Wu ◽  
Lingfang Li ◽  
...  
Keyword(s):  
Optimal Operation ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

Derivation of Monthly Operating Rules for Cascade Hydropower Stations Based on SVM

2013 ◽  
Vol 838-841 ◽  
pp. 1673-1676
Author(s):  
Ting Zhou ◽  
Chang Ming Ji ◽  
Bi Kui Zhao
Keyword(s):  
River System ◽  
Optimization Method ◽  
Optimal Operation ◽  
Support Vector ◽  
System Operation ◽  
Optimal Operating ◽  
Operating Rules ◽  
Hydropower Stations ◽  
System Power

In order to promote the efficiency of actual hydropower system operation under limited inflow forecast, an Implicit Stochastic Optimization method using Support Vector Machine (SVM) theory is proposed in this paper to derive long-term optimal operating rules. By applying the model to the Jinsha-Yangtze river system which is the largest hydropower base in China, fitting performance of operating rules is explained and evaluated. System simulation results are given and compared to deterministic optimal operation. Power output processes comparison shows that the average annual system power generation in two scenarios are 395TWh and 392TWh, and the overall operation processes are in well accordance with explicable inconsistency, which proves the efficiency of SVM in operating rules derivation for hydropower stations.

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