Three Gorges Cascade Hydropower System Joint Simulative Optimal Operation Research in Power Market

2011 ◽  
Vol 347-353 ◽  
pp. 1370-1373
Author(s):  
Jiao Zheng ◽  
Kan Yang ◽  
Ran Zhou ◽  
Yong Huai Hao ◽  
Guo Shuai Liu
Keyword(s):  
Power Market ◽  
Optimal Operation ◽  
Adaptive Genetic Algorithm ◽  
Three Gorges ◽  
Short Term ◽  
Roulette Wheel Selection ◽  
Generation Scheduling ◽  
Hydropower System ◽  
Selection Operator ◽  
Hydropower Stations

The short-term joint optimal operation simulation of Three Gorges cascade hydropower system aiming at maximum power generation benefit is proposed. And a new method for optimizing cascade hydropower station based on Adaptive Genetic Algorithm (AGA) with trigonometric selective operators is presented. In this paper, the practical optimal operation in power market is described. The temporal-spatial variation of flow between cascade hydropower stations is considered, and time of use (TOU) power price is also taken into account. Moreover, a contrast between Tangent-roulette selection operator and traditional one is made. To a certain degree, the results of simulative optimal operation based on several representative hydrographs show that Tangent-roulette wheel selection operator can find a more excellent solution, because the Tangent-roulette one can overcome the fitness requirements of non-negative. The research achievements also have an important reference for the compilation of daily generation scheduling of Three Gorges cascade hydropower system in the environment of power market.

scholarly journals Formulation and Implementation of Short-Term Optimal Reservoir Operation Schemes Integrated with Operation Rules

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 944 ◽  
Author(s):  
Yanke Zhang ◽  
Jiajie Wu ◽  
Hongjie Yu ◽  
Changming Ji
Keyword(s):  
Evaluation Method ◽  
Optimal Operation ◽  
Operating Conditions ◽  
Control Mode ◽  
Theoretical Research ◽  
Short Term ◽  
Post Evaluation ◽  
Operation Rules ◽  
Actual Operation ◽  
Hydropower Stations

To narrow the gap between theoretical research and practical application of short-term optimal reservoir power generation operation under uncertain conditions, a comprehensive study is conducted on the formulation, evaluation, and implementation of operation schemes throughout the entire procedure of optimal operation. Firstly, the three implementation modes of the optimal operation scheme are assessed with the post-evaluation method. After the optimal implementation mode is determined, the formulation and implementation of optimal operation schemes are improved by combining the advantages of conventional and optimal operation and using the concept of warning water level in operation rules. Finally, the Xiaoxuan Reservoir is taken as an example for simulation calculation under different operating conditions. The results show that the operation model integrated with operation rules has both the security of conventional operation and the profitability of optimal operation. The accordingly-formulated optimal operation schemes, when implemented with the output control mode, can provide valuable guidance for the actual operation of hydropower stations.

scholarly journals Short-Term Hydro Generation Scheduling Of The Three Gorges Hydropower Station Using Improver Binary-coded Whale Optimization Algorithm

2021 ◽  
Author(s):  
Kun Yang ◽  
Kan Yang
Keyword(s):  
Load Distribution ◽  
Unit Commitment ◽  
Hydropower Station ◽  
Three Gorges ◽  
Short Term ◽  
The Three Gorges ◽  
Search Mechanism ◽  
Generation Scheduling ◽  
Whale Optimization ◽  
Binary Array

Abstract An improved binary-coded whale optimization algorithm (IBWOA) is proposed to solve the complex nonlinear problem of short-term hydropower generation scheduling (STHGS). The spatial optimal load distribution is combined with the temporal unit commitment combination model, and the binary array is used to represent the start/stop state of the unit. Sigmoid Function (SF) is used to solve the correspondence between binary array and real number. The whale algorithm's search mechanism is optimized, and the inertia weight and perturbation variation strategy are introduced to improve the algorithm's optimization ability. The unit commitment (UC) subproblem was solved by repairing the minimum uptime/downtime constraint and the spinning reserve capacity constraint, and the economic load scheduling (ELD) subproblem was solved by an optimal stable load distribution table (OSLDT). The Mutation mechanism and the Locally balanced dynamic search mechanism compensate for the non-convex problems caused by start-stop constraints and stable optimal table methods. The proposal is applied to solve the STHGS of the Three Gorges hydropower station. The results show that the method has good convergence, stability, fast calculation speed, and high optimization accuracy.

Optimal Operation of Complicated Giant Hydropower Stations Based on Decomposition-Coordination Method

2011 ◽  
Vol 356-360 ◽  
pp. 2316-2319
Author(s):  
Kan Yang ◽  
Guo Shuai Liu ◽  
Yong Huai Hao ◽  
Ran Zhou ◽  
Jiao Zheng ◽  
...  
Keyword(s):  
Power Systems ◽  
Optimization Criterion ◽  
Optimal Operation ◽  
Total Output ◽  
Three Gorges ◽  
Convergence Conditions ◽  
Hydropower Plants ◽  
Flow Propagation ◽  
Hydropower Stations ◽  
System Power

Aiming at the problem of joint optimal operation at the five hydropower plants of Three Gorges and Qing River cascades, the paper adopts three-class structure to decompose and coordinate the optimal problem, which takes the maximum system power benefit as the optimization criterion under considering the flow propagation and the variable price factor. This paper derives the iterative formula of decomposition coordination method and identifies the convergence conditions of problem. The study case of Three Gorges and Qing River cascades in different conditions shows that total output of joint optimal operation is bigger than that of cascade single operation. Three Gorges and Shuibuya with large capacity of regulation, have larger output in power systems correspondingly when inflow is the same. In addition, this method is also effective in reducing the resolving time of giant hydropower stations optimal operation and improving the operational efficiency.

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