Large-scale hydropower system optimization using dynamic programming and object-oriented programming: the case of the Northeast China Power Grid

Li, Ji Qing; Zhang, Yu Shan; Ji, Chang; Wang, Ai Jing; Lund, Jay R.

doi:10.2166/wst.2013.528

Cited by 18 publications

(10 citation statements)

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“…The total input in a water resources system is usually the historical reservoir inflow over multiple years, which is always given from hydrological statistical yearbooks. Therefore, dynamic programming was formulated to effectively utilize the sequential decision structure of optimization problems [43]. In addition, this system model satisfies the condition of decision segmentation, with the mathematical model being as presented below:…”

Section: Subsystem Solvingmentioning

confidence: 99%

An Optimal Allocation Model for Large Complex Water Resources System Considering Water supply and Ecological Needs

Tan

Dong

Xiong

et al. 2019

Water

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Water resources are very important to support the socio-economic development and maintain environmental health, which is a typical issue in water resources management. In this study, we developed an optimal allocation model for a large complex system of water resources by considering both water supply and river ecological benefits. The water supply benefit is defined as the minimum water deficit for different water users, while the ecological benefit involves making the reservoir release as close as possible to the natural streamflow. To solve this problem, the combination of decomposition-coordination (DC) and discrete differential dynamic programming (DDDP) methods were proposed. The proposed methods first decomposed a large system with multi-objective programming into subsystems, and the optimal solution of each subsystem was accomplished by the DDDP method to solve the system efficiently. Then the subsystems’ solutions were coordinated to figure out the near global optimal solution. The proposed models were tested in the Lingui and Yongfu County, Guilin City in China. Results show that the optimal reservoir release is close to the natural flow regime and there is a slight water deficit ratio in both level years. The water supply objective is more sensitive to the system model compared with the ecological objective, and the result of water allocation is optimized when the reservoir release is as close as possible to the natural flow based on the minimum water deficit. The proposed system model could facilitate sustainable water use and provide technical support for water resources management in economic development.

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Section: Subsystem Solvingmentioning

confidence: 99%

An Optimal Allocation Model for Large Complex Water Resources System Considering Water supply and Ecological Needs

Tan

Dong

Xiong

et al. 2019

Water

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“…Joint operation scheduling is difficult with DP due to the curse of dimensionality [33]. POA is proposed by Howson and Sancho [34] for reducing dimensionality difficulties by decomposing a multi-stage decision problem into a series of non-linear programing two-stage problems [35].…”

Section: An Overview Of Dp and Poamentioning

confidence: 99%

Long-term generation scheduling of Xiluodu and Xiangjiaba cascade hydro plants considering monthly streamflow forecasting error

Xie

Zhou

et al. 2015

Energy Conversion and Management

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“…If we need to reflect the control strategy and control performance of the real system, we must consider the nonlinear characteristics of the system, which is the essential factor that affects the system control strategy and control performance. erefore, control analysis and synthesis for nonlinear systems is an important part of the discipline of control theory and has produced quite a lot of results in recent years [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Bounded Analysis and Practical Tracking Control of Complex Stochastic Nonlinear Systems with Unknown Control Coefficients

Guo

Fang

2020

Complexity

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This paper mainly focuses on the output practical tracking controller design for a class of complex stochastic nonlinear systems with unknown control coefficients. In the existing research results, most of the complex systems are controlled in a certain direction, which leads to the disconnection between theoretical results and practical applications. The authors introduce unknown control coefficients, and the values of the upper and lower bounds of the control coefficients are generalized by constants to allow arbitrary values to be arbitrarily large or arbitrarily small. In the control design program, the design problem of the controller is transformed into a parameter construction problem by introducing appropriate coordinate transformation. Moreover, we construct an output feedback practical tracking controller based on the dynamic and static phase combined by Ito stochastic differential theory and selection of appropriate design parameters, ensuring that the system tracking error can be made arbitrarily small after some large enough time. Finally, a simulation example is provided to illustrate the efficiency of the theoretical results.

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Large-scale hydropower system optimization using dynamic programming and object-oriented programming: the case of the Northeast China Power Grid

Cited by 18 publications

References 0 publications

An Optimal Allocation Model for Large Complex Water Resources System Considering Water supply and Ecological Needs

An Optimal Allocation Model for Large Complex Water Resources System Considering Water supply and Ecological Needs

Long-term generation scheduling of Xiluodu and Xiangjiaba cascade hydro plants considering monthly streamflow forecasting error

Bounded Analysis and Practical Tracking Control of Complex Stochastic Nonlinear Systems with Unknown Control Coefficients

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