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

Mapping Intimacies ◽

10.21203/rs.3.rs-159194/v1 ◽

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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Short-Term Hydro Generation Scheduling of the Three Gorges Hydropower Station Using Improver Binary-coded Whale Optimization Algorithm

Water Resources Management ◽

10.1007/s11269-021-02917-0 ◽

2021 ◽

Author(s):

Kun Yang ◽

Kan Yang

Keyword(s):

Optimization Algorithm ◽

Whale Optimization Algorithm ◽

Hydropower Station ◽

Three Gorges ◽

Short Term ◽

The Three Gorges ◽

Generation Scheduling ◽

Whale Optimization

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.347-353.1370 ◽

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.

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

Mathematical Problems in Engineering ◽

10.1155/2018/3726274 ◽

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.

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Using Satellite Gravity and Hydrological Data to Estimate Changes in Evapotranspiration Induced by Water Storage Fluctuations in the Three Gorges Reservoir of China

Remote Sensing ◽

10.3390/rs12132143 ◽

2020 ◽

Vol 12 (13) ◽

pp. 2143

Author(s):

Yuhao Zheng ◽

Linsong Wang ◽

Chao Chen ◽

Zhengyan Fu ◽

Zhenran Peng

Keyword(s):

Water Balance ◽

Yangtze River ◽

Three Gorges Reservoir ◽

Water Storage ◽

Three Gorges ◽

The Yangtze River ◽

Short Term ◽

The Three Gorges ◽

Terrestrial Water ◽

High Precipitation

The change in water storage driven by the Three Gorges Project directly affects the terrestrial water migration and redistribution in the Yangtze River Basin (YRB). As a result, a new water balance is established and regional evapotranspiration (ET) fluctuates in the process. In this paper, data from multiple-sources including from the Gravity Recovery and Climate Experiment (GRACE) satellite, land surface models (LSMs), remote sensing, and in-situ observations were used to monitor the temporal and spatial evolution of terrestrial water and estimate changes in ET in the Three Gorges Reservoir (TGR) from 2002 to 2016. Our results showed that GRACE data scaled using the scale factor method significantly improved the signal amplitude and highlighted its spatial differences in the TGR area. Combining GRACE with surface hydrological observations, ET in the TGR area was estimated to have overall change characteristics highly consistent with results from the MOD16 Moderate Resolution Imaging Spectroradiometer (MODIS), and the uncertainties of monthly ET are mainly from TWS changes derived by GRACE uncertainties such as measurement errors and leakage errors. During our study period, the cyclical ET was mainly driven by climate precipitation but short-term (monthly) ET in the TGR area was also directly affected by human-driven water storage. For example, rising water levels in the three water storage stages (2003, 2006, and 2008) caused an abnormal increase in regional ET (up to 22.4 cm/month, 19.2 cm/month and 29.5 cm/month, respectively). Usually, high precipitation will cause increase in ET but the high precipitation during the water release periods (spring and summer) did not have a significant impact on the increased ET due to the water level in the TGR having decreased 30 m in this stage. Our results also indicate that the short-term fluctuations in flooded area and storage capacity of the TGR, i.e., the man-made mass changes in the main branch and tributaries of the Yangtze River, were the main factors that influenced the ET. This further illustrated that a quantitative estimation of changes in the ET in the TGR allows for a deeper understanding of the water balance in the regional land water cycle process as driven by both climate and human factors.

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Influence of Unsteady Flow Induced by a Large-Scale Hydropower Station on the Water Level Fluctuation of Multi-Approach Channels: A Case Study of the Three Gorges Project, China

Water ◽

10.3390/w12102922 ◽

2020 ◽

Vol 12 (10) ◽

pp. 2922 ◽

Cited By ~ 1

Author(s):

Zhiyong Wan ◽

Yun Li ◽

Xiaogang Wang ◽

Jianfeng An ◽

Bo Dong ◽

...

Keyword(s):

Water Level ◽

Large Scale ◽

Base Flow ◽

Hydropower Station ◽

Three Gorges ◽

Initial Water ◽

The Three Gorges ◽

Approach Channel ◽

Ship Lift ◽

Hydropower Stations

Unsteady flow induced by hydropower stations exerts a significant impact on the water level in multi-approach channels, which directly threatens the safe passage of ships. In this study, a one-dimensional and a two-dimensional hydrodynamic model are adopted to simulate the water level fluctuations at the entrance of multi-approach channels and the lower lock head of a ship lift with consideration of initial water surface elevation, base flow, flow amplitude, regulation time, and locations of hydropower stations, unfavorable conditions are successfully identified; and the fluctuations at the approach channel entrance and the lower lock head of a ship lift under single-peak and double-peak regulating mode are analyzed considering the flow regulating of the Gezhouba Hydropower Station (GHS), thus, the water level oscillation process in the multi-approach channels is presented. Results show that the largest wave amplitude in the multi-approach channels manifests under unfavorable conditions including lower initial water surface elevation, smaller base flow, larger flow variation, and shorter regulation time; and water level fluctuation in the multi-approach channel is primarily induced by flow amplitude and net flow between the Three Gorges Hydropower Station (TGHS) and the GHS, with consideration of the counter-regulation process of the GHS. This research contributes to providing a reference for a similar large-scale cascade hydropower station regarding regulation and control of navigation conditions.

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

E3S Web of Conferences ◽

10.1051/e3sconf/202019900008 ◽

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.

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