Optimization of the integration among traditional fossil fuels, clean energies, renewable sources, and energy storages: An MILP model for the coupled electric power, hydraulic, and natural gas systems

Alvarez, Gonzalo Exequiel; Marcovecchio, Marian G.; Aguirre, Pío A.

doi:10.1016/j.cie.2019.106141

Cited by 35 publications

(15 citation statements)

References 52 publications

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“…[158] models these issues and a simplified transmission network, too. The transmission representation was enhanced in [159] and later complemented with a simplified natural gas network in [160], where fluctuating natural gas flows in the pipelines toward the thermal unit that consume this fuel are considered.…”

Section: Trends In Computational Efficiency To Solve the Unit Commitm...mentioning

confidence: 99%

A Review on the Unit Commitment Problem: Approaches, Techniques, and Resolution Methods

Montero

Bello

2022

Energies

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Optimizing the schedule of thermal generators is probably the most important task when the operation of power systems is managed. This issue is known as the unit commitment problem in operational research. It has been profoundly studied in the literature, where several techniques have been proposed to address a computationally tractable solution. In turn, the ongoing changes of paradigms in energy markets focus the attention on the unit commitment problem as a powerful tool to handle new trends, such as the high renewable energy sources penetration or widespread use of non-conventional energy-storage technologies. A review on the unit commitment problem is propo- sed in this paper. The easy understanding of the diverse techniques applied in the literature for new researchers is the main goal of this state-of-art as well as identifying the research gaps that could be susceptible to further developments. Moreover, an overview of the evolution of the Mixed Integer Linear Programming formulation regarding the improvements of commercial solvers is presented, according to its prevailing hegemony when the unit commitment problem is addressed. Finally, an accurate analysis of modeling detail, power system representation, and computational performance of the case studies is presented. This characterization entails a significant development against the conventional reviews, which only offer a broad vision of the modeling scope of their citations at most.

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Section: Trends In Computational Efficiency To Solve the Unit Commitm...mentioning

confidence: 99%

A Review on the Unit Commitment Problem: Approaches, Techniques, and Resolution Methods

Montero

Bello

2022

Energies

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“…LR is combined with a genetic algorithm (GA) to obtain satisfactory results for operational cost minimization UC problem in [64]. By implementing MILP, many UC problems involving ESSs have been solved with objective functions such as peak shaving [65], maximizing energy production by reducing curtailment [66], minimization of cost [67][68][69][70][71], minimization of emissions [72], and so on.…”

Section: Overview Of Algorithms For Solving Uc Problemmentioning

confidence: 99%

Energy Storage System Analysis Review for Optimal Unit Commitment

et al. 2019

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Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.

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“…Renewable energy is also known as fossil fuel recycling, and its sources are expected never to run out, just as sustainable energy sources will never run out [1]. Solar energy [2], wind energy [3], hydropower energy [4],…”

Section: Introductionmentioning

confidence: 99%

DFT and TD-DFT studies of new triphenylamine-based (D–A–D) donor materials for high-efficiency organic solar cells

Babu

2022

Mater. Adv.

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Optimization of the integration among traditional fossil fuels, clean energies, renewable sources, and energy storages: An MILP model for the coupled electric power, hydraulic, and natural gas systems

Cited by 35 publications

References 52 publications

A Review on the Unit Commitment Problem: Approaches, Techniques, and Resolution Methods

A Review on the Unit Commitment Problem: Approaches, Techniques, and Resolution Methods

Energy Storage System Analysis Review for Optimal Unit Commitment

DFT and TD-DFT studies of new triphenylamine-based (D–A–D) donor materials for high-efficiency organic solar cells

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