scholarly journals An improved prediction method of water consumption rate considering aftereffects for short-term dispatching of hydropower station

2020 ◽  
Vol 199 ◽  
pp. 00008
Author(s):  
Xiao Chen ◽  
Jianzhong Zhou ◽  
Benjun Jia ◽  
Yuqi Yang ◽  
Li Li
Keyword(s):  
Water Consumption ◽  
Consumption Rate ◽  
Prediction Method ◽  
Hydropower Station ◽  
Short Term ◽  
Absolute Deviation ◽  
Generation Scheduling ◽  
Operation Process ◽  
Actual Operation ◽  
Scheduling Models

Accurate and rapid output calculation of hydropower station (HS) is an important research item in reservoir dispatching neighborhood. There have existed many methods to calculate output in generation scheduling models with different time scale. But for the large HS with multiple units, it is still difficult to calculate output quickly and accurately in short-term generation dispatching. Therefore, in this paper, an improved method of water consumption rate (IWCR) considering aftereffects is proposed. The Three Gorges Hydropower Station (TGHS) in China is selected as the case study, and the prediction water consumption rate (WCR) results are obtained with IWCR and classical water consumption rate method (CWCR). The results show that 1) The mean absolute deviation (MAD) on the left and right bank of TGHS is significantly superior to the MAD calculated by CWCR, and reduce 0.578 m3/(s.wkw) and 0.569 m3/(s.wkw) respectively. 2) In low relative deviation interval, there are more prediction WCR periods with IWCR. Therefore, the IWCR method can lead to the plan scheme more consistent with actual operation process, and the security of TGHS and Gezhouba is stronger.

An Analysis on the Water Consumption Rate of LongTan Hydropower Station with Properties of Water Energy

2013 ◽  
Vol 648 ◽  
pp. 218-222
Author(s):  
Xiao Guang Lei ◽  
Ao Yin
Keyword(s):  
Mathematical Model ◽  
Water Consumption ◽  
Consumption Rate ◽  
Hydropower Station ◽  
Total Water ◽  
Unit Load ◽  
Total Water Consumption ◽  
Actual Operation ◽  
Incremental Rate ◽  
The Mathematical Model

The mathematical model of water consumption rate of LongTan Hydropower Station is established in this thesis. With the aim of reaching the minimum total water consumption of power generation, Equation Incremental Rate is used to solve this mathematical model with constant overall load of the hydropower station. Equation Incremental Rate is used in this thesis to solve some instances, prove the rationality of the mathematical model established and demonstrate that the unit load value calculated can direct the actual operation of the hydropower station better, thus the aim of energy saving and consumption reducing can be achieved.

scholarly journals The Improved Binary-Real Coded Shuffled Frog Leaping Algorithm for Solving Short-Term Hydropower Generation Scheduling Problem in Large Hydropower Station

2018 ◽  
Vol 2018 ◽  
pp. 1-29
Author(s):  
Zhe Yang ◽  
Kan Yang ◽  
Lyuwen Su ◽  
Hu Hu
Keyword(s):  
Cloud Model ◽  
Activation Mechanism ◽  
Hydropower Station ◽  
Utilization Rate ◽  
Search Performance ◽  
Integer Optimization ◽  
Shuffled Frog Leaping Algorithm ◽  
Short Term ◽  
Generation Scheduling ◽  
Shuffled Frog Leaping

The short-term hydro generation scheduling (STHGS) decomposed into unit commitment (UC) and economic load dispatch (ELD) subproblems is complicated problem with integer optimization, which has characteristics of high dimension, nonlinear and complex hydraulic and electrical constraints. In this study, the improved binary-real coded shuffled frog leaping algorithm (IBR-SFLA) is proposed to effectively solve UC and ELD subproblems, respectively. For IB-SFLA, the new grouping strategy is applied to overcome the grouping shortage of SFLA, and modified search strategies for each type of frog subpopulation based on normal cloud model (NCM) and chaotic theory are introduced to enhance search performance. The initialization strategy with chaos theory and adaptive frog activation mechanism are presented to strengthen performance of IR-SFLA on ELD subproblem. Furthermore, to solve ELD subproblem, the optimal economic operation table is formed using IR-SFLA and invoked from database. Moreover, reserve capacity supplement and repair, and minimum on and off time repairing strategies are applied to handle complex constraints in STHGS. Finally, the coupled external and internal model corresponding to UC and ELD subproblems is established and applied to solve STHGS problem in Three Gorges hydropower station. Simulation results obtained from IBR-SFLA are better than other compared algorithms with less water consumption. In conclusion, to solve STHGS optimization problem, the proposed IBR-SFLA presents outstanding performance on solution precision and convergence speed compared to traditional SFLA effectively and outperforms the rivals to get higher precision solution with improving the utilization rate of waterpower resources.

scholarly journals Short-Term Optimal Operation of Baluchaung II Hydropower Plant in Myanmar

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 504
Author(s):  
Jiqing Li ◽  
May Myat Moe Saw ◽  
Siyu Chen ◽  
Hongjie Yu
Keyword(s):  
Flow Distribution ◽  
Optimal Operation ◽  
Hydropower Plant ◽  
Hydropower Station ◽  
Hydropower Generation ◽  
Short Term ◽  
Run Off ◽  
Optimal Load ◽  
Resultant Data ◽  
Actual Operation

The short-term optimal operation model discussed in this paper uses the 2016 to 2018 daily and monthly data of Baluchaung II hydropower station to optimize power generation by minimizing water consumption effectively in order to get more revenue from optimal operation. In the first stage, run-off-river type Baluchaung II hydropower station data was applied in a mathematical model of equal micro-increment rate method for optimal hydropower generation flow distribution unit results. In the second stage, dynamic programming was used to get optimal hydropower generation unit distribution results. The resultant data indicated that optimized results can effectively guide the actual operation run of this power station. The purpose of the optimal load dispatching unit was to consider the optimal power of each unit for financial profit and numerical programming on the actual data of Baluchaung II hydropower plant to confirm that our methods are able to find good optimal solutions which satisfy the objective values of 17.75% in flow distribution units and 24.16% in load distribution units.

scholarly journals Bayesian regularized NAR neural network based short-term prediction method of water consumption

2019 ◽  
Vol 118 ◽  
pp. 03024
Author(s):  
Jianyu Liu ◽  
Linxue Zhao ◽  
Yanlong Mao
Keyword(s):  
Neural Network ◽  
Water Supply ◽  
Prediction Model ◽  
Water Consumption ◽  
Bp Neural Network ◽  
Prediction Method ◽  
Short Term ◽  
Neural Network Prediction ◽  
Short Term Prediction ◽  
Consumption Prediction

With the continuous construction of urban water supply infrastructure, it is extremely urgent to change the management mode of water supply from traditional manual experience to modern and efficient means. The water consumption forecast is the premise of water supply scheduling, and its accuracy also directly affects the effectiveness of water supply scheduling. This paper analyzes the regularity of water consumption time series, establishes a short-term water consumption prediction model based on Bayesian regularized NAR neural network, and compares and evaluates the prediction effect of the model. The verification results show that the Bayesian based NAR neural network prediction model has higher adaptability to the water consumption prediction than the standard BP neural network and the Bayesian regularized BP neural network. The prediction accuracy can more accurately reflect the short-term variation of water consumption.

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.

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