Improving stochastic dynamic programming on hydrothermal systems through an iterative process

Brandi, Rafael Bruno S.; Ramos, Tales Pulinho; Marcato, André L. M.; Silva, Ivo Chaves da

doi:10.1016/j.epsr.2015.02.011

Cited by 13 publications

(2 citation statements)

References 19 publications

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“…When dealing with multireservoir systems, stochastic dual dynamic programming is introduced to overcome the curse of dimensionality suffering from SDP . Besides, a hybrid approach combining SDP and stochastic dual dynamic programming is proposed to retain the advantages of the 2 methods . Chance‐constrained programming (CCP) has been proved to be an efficient approach for the optimization problem with multiple random variables, where the uncertain constraints are formulated with predefined confidence levels to make a trade‐off between operation risks and economic benefits.…”

Section: Introductionmentioning

confidence: 99%

Mid-term integrated generation and maintenance scheduling for wind-hydro-thermal systems

Xia

2018

Int Trans Electr Energ Syst

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Summary A mid‐term integrated generation and maintenance scheduling model is proposed for wind‐hydro‐thermal systems in this paper. Various constraints of wind farms, thermal plants, and cascaded hydropower reservoirs are included to develop the complementarity of different energy sources. Stochastic behaviors for wind power, natural inflow, electric power, and energy demand are modeled using chance‐constrained programming and then converted into equivalent deterministic formulations to reduce the calculation complexity. Besides, to achieve the integrated optimization for generation and maintenance scheduling, detailed maintenance constraints as well as the coupling constraints of 2 tasks are considered in the scheduling model. In addition, 2 types of time indexes are used to coordinate the different time interval requirements for them. Finally, the proposed mixed integer linear programming model is solved by commercial software CPLEX. Case studies by 2 actual systems show that the integrated generation and maintenance schedules of wind‐hydro‐thermal system outperform the other conventional schemes in terms of feasibility and economy.

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Section: Introductionmentioning

confidence: 99%

Mid-term integrated generation and maintenance scheduling for wind-hydro-thermal systems

Xia

2018

Int Trans Electr Energ Syst

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“…The processes for "selection" or "elimination" of cuts enhanced the computational performance of the NEWAVE model. These implemented procedures for managing the cuts are based on [189][190][191].…”

Section: Chapter 6 Fostering Innovation In Power Systems Models Thromentioning

confidence: 99%

Essays on Two-Stage Robust Models for Power Systems: Modeling Contributions and Applications of the Column-and-Constraint-Generation Algorithm

RODRIGUES¹

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Reliability Improved Stochastic Dynamic Programming for Reservoir Operation Optimization

Saadat

Asghari

2017

Water Resour Manage

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Improving stochastic dynamic programming on hydrothermal systems through an iterative process

Cited by 13 publications

References 19 publications

Mid-term integrated generation and maintenance scheduling for wind-hydro-thermal systems

Mid-term integrated generation and maintenance scheduling for wind-hydro-thermal systems

Essays on Two-Stage Robust Models for Power Systems: Modeling Contributions and Applications of the Column-and-Constraint-Generation Algorithm

Reliability Improved Stochastic Dynamic Programming for Reservoir Operation Optimization

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