To Solve the Hydropower Station Optimal Scheduling with Time-Varying Prices Based on Bees Algorithm

2011 ◽  
Vol 347-353 ◽  
pp. 1820-1827
Author(s):  
Jun Rui ◽  
Jing Xue ◽  
Liang Ming
Keyword(s):  
Optimization Algorithm ◽  
Optimal Scheduling ◽  
Bees Algorithm ◽  
Hydropower Station ◽  
Time Varying ◽  
Additional Method ◽  
Optimal Regulation ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

A new kind of intelligence optimization algorithm - Bees Algorithm (BA) is introduced, which is developed in recent years and is easy to realize, extremely quickly to convergence. Using the algorithm, the article solves optimal regulation of hydropower stations with time-varying price. Actual example proves the validity and fast astringency of BA. Thus, an additional method is proposed for solving optimal regulation of cascade 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.

scholarly journals SVM-based Implicit Stochastic Scheduling Mode for Cascade Hydropower Stations

2018 ◽  
Vol 246 ◽  
pp. 02046 ◽  
Author(s):  
Qinhui Wang ◽  
Jidong Li ◽  
Shijun Chen ◽  
xiaoyi Wang
Keyword(s):  
Support Vector Machine ◽  
Regression Model ◽  
Stochastic Scheduling ◽  
Hydropower Station ◽  
Support Vector ◽  
Function Model ◽  
Cascade Reservoirs ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations ◽  
Yalong River

In view of the uncertainty of inflow of cascade reservoirs, an implicit stochastic joint scheduling function model for cascade hydropower stations based on support vector machine (SVM) was established. Taking the cascade hydropower station on the lower reaches of the Yalong River as an example, according to the long series of optimized scheduling simulation operation data, the Gauss radial basis (BRF) kernel function is utilized by LIBSVM for the scheduling function fitting of the cascade reservoirs in the lower reaches of the Yalong River. Besides, combined with particle swarm optimization algorithm, the support vector machine (SVM) model parameters c (penalty coefficient) and g (relaxation coefficient) were optimized. Eventually, the optimized scheduling function model was used for the cascade hydropower station simulation operation. The results show that compared with the existing scheduling technology, the nonlinear SVM scheduling function is better than the linear regression model, and the effect of the nonlinear SVM scheduling function is equivalent to that of the threshold regression model. Therefore, the SVM-based Implicit Stochastic Scheduling method can provide references for the actual operation of the cascade hydropower station.

Study on Regulating Valve Settings for Small and Medium Cascade Hydropower Stations

2014 ◽  
Vol 535 ◽  
pp. 198-201 ◽  
Author(s):  
Xiu Long Zhao ◽  
Jian Zhang ◽  
Wei Liu
Keyword(s):  
Water Hammer ◽  
Hydropower Station ◽  
Cascade Hydropower Stations ◽  
The Impact ◽  
Hydropower Stations

For some small and medium cascade hydropower stations, they need to set regulating valves to regulate the discharged flow and ensure downstream water. this paper use an example of a cascade hydropower station to explore some issues related to regulating valve settings through some aspects like selecting the diameter of regulating valve, the impact on the regulation and assurance measures of hydropower stations with regulating valves and so on.Conclusions show that the water hammer pressure is the smallest when the diameter of the regulating valve is 0.7m,and the use of regulating valves can relieve the rise of water hammer pressure.These conclusions have referential significance on small and medium cascade hydropower stations.

Optimization Scheduling of Cascade Hydropower Stations in Energy Conservation and Emission Reduction

2013 ◽  
Vol 732-733 ◽  
pp. 1385-1389
Author(s):  
Ze Hong Li
Keyword(s):  
Scientific Method ◽  
Thermal Power ◽  
Atmospheric Pollutants ◽  
Optimal Regulation ◽  
Consumption Ratio ◽  
Wujiang River ◽  
Hydropower Plants ◽  
Automation Systems ◽  
Cascade Hydropower Stations ◽  
Hydropower Stations

Considerable water saving and electricity can be attained by optimal regulation of cascade hydropower plants, equivalent to building large and medium-sized hydropower stations without increase in investment and immigration. Thus, the optimal regulation of cascade hydropower plants has great significance on increasing the consumption ratio of fossil energyand reducing atmospheric pollutants discharge. Taking Wujiang river basin as an example, mathematic models and rules of optimal regulation have been obtained in the research,Automation systems have been developed, forming an integrated work platform. Combining optimal regulation and generator control together, the platform helps to put scientific method into practice.Electricity 585 million kWh has been obtained through optimal regulation of Wujiang cascade hydropower stations per year on average, 162200 tons of coal can be saved annually,reduce coal burned by thermal power plants.about 474900 tons of Carbon dioxide, 3185 tons of Sulfur dioxide,3012 tons of nitrogen oxides can be reduced every year.

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