Two-stage robust optimal scheduling framework applied for microgrids: Combined energy recovery and forecast

Qin, Peijia; Tan, Xianlin; Huang, Youbin; Pan, Mingming; Ouyang, Tiancheng

doi:10.1016/j.renene.2023.05.130

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…The existing bi-level optimization models 83 often consider the uncertainties associated with the source 84 and loads, including electric vehicles, 85 but neglect the uncertainty factors associated with the transition of MG from grid-connected/autonomous mode and other line faults. In this regard, the authors in 86 propose a two-stage robust optimization model to ensure stable operation and achieve day-ahead scheduling of hybrid MMG.…”

Section: Multi-microgrid Dispatchmentioning

confidence: 99%

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Kumar,

Singh,

Raghav

et al. 2024

iScience

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Section: Multi-microgrid Dispatchmentioning

confidence: 99%

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Kumar,

Singh,

Raghav

et al. 2024

iScience

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“…Consequently, the operational hours of thermal power generation equipment are expected to further diminish. In the near future, extended operation at reduced loads and frequent start-stop cycles of coal-fired units will become standard practice [17][18][19][20][21]. Nonetheless, both deep load modulation and startup processes entail the risk of nonoperational denitrification, which can result in excessive NOx emissions from the units.…”

Section: Introductionmentioning

confidence: 99%

Continuous DeNOx Technology for Improved Flexibility and Reliability of 1000 MW Coal-Fired Power Plants: Engineering Design, Optimization, and Environmental Benefits

Yan,

He,

Guo

et al. 2023

Processes

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This study endeavors to enhance the operational efficiency of extant coal-fired power plants to mitigate the adverse environmental impact intrinsic to the prevalent utilization of coal-fired power generation, which is particularly dominant in China. It focuses on the assessment and optimization of continuous denitrification systems tailored for a 1000 MW ultra-supercritical pulverized coal boiler. The extant denitrification framework encounters challenges during startup phases owing to diminished selective catalytic reduction (SCR) inlet flue gas temperatures. To ameliorate this, three retrofit schemes were scrutinized: direct mixing of high-temperature flue gas, bypass flue gas mixing, and high-temperature flue gas mixing with cold air. Each option underwent meticulous thermodynamic computations and comprehensive cost analyses. The findings elucidated that bypass flue gas mixing, involving the extraction and blending of high-temperature flue gas, emerged as the most financially prudent and practical recourse. This scheme optimizes fuel combustion heat utilization, significantly curtails fuel consumption, and fosters efficient internal heat transfer mechanisms within the boiler. The evaluation process meticulously considered safety parameters and equipment longevity. The insights derived from this investigation offer valuable guidance for implementing continuous denitrification system retrofits in industrial coal-fired power plants.

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Flow battery energy storage system for microgrid peak shaving based on predictive control algorithm

Ouyang,

Zhang,

Qin

et al. 2024

Applied Energy

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Two-stage robust optimal scheduling framework applied for microgrids: Combined energy recovery and forecast

Cited by 8 publications

References 41 publications

State-of-the-art review on energy sharing and trading of resilient multi microgrids

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Continuous DeNOx Technology for Improved Flexibility and Reliability of 1000 MW Coal-Fired Power Plants: Engineering Design, Optimization, and Environmental Benefits

Flow battery energy storage system for microgrid peak shaving based on predictive control algorithm

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