A Completely Distributed Economic Dispatching Strategy Considering Capacity Constraints

Han, Hua; Chen, Xinyu; Liu, Zhangjie; Liu, Yonglu; Su, Mei; Chen, Shimiao

doi:10.1109/jetcas.2021.3049788

Cited by 4 publications

(1 citation statement)

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“…The machines limitation constraints that can be modeled as in Eq. ( 11 ) 63 . where and are the minimum and maximum generated powers, machine can deliver.…”

Section: Introductionmentioning

confidence: 99%

Greenhouse gases emission reduction for electric power generation sector by efficient dispatching of thermal plants integrated with renewable systems

Ahmed

Rehan

Basit

et al. 2022

Sci Rep

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This research aims to contribute in developing a mathematical model for the composite probabilistic energy emissions dispatch (CPEED) with renewable energy systems, and it proposes a novel framework, based on an existing astute black widow optimization (ABWO) algorithm. Renewable energy power generation technology has contributed to pollution reduction and sustainable development. Therefore, this research aims to explore the CPEED problem in the context of renewable energy generation systems to enhance the energy and climate benefits of the power systems. Five benchmark test systems, combined with conventional thermal power plants and renewable energy sources such as wind and solar, are considered herein to obtain the optimum solution for cost and pollutant emission by using the ABWO approach. The ascendancy is not limited to environmental impacts, but it also provides the diversification of energy supply and reduction of reliance on imported fuels. As a result, the research findings contribute in lowering the cost of fuel and pollutant emissions, correlated with electricity generation systems, while increasing the renewable energy usage and penetration. Finally, the performance and efficacy of the designed scheme have been fully validated by comprehensive experimental results and statistical analyses.

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“…The machines limitation constraints that can be modeled as in Eq. ( 11 ) 63 . where and are the minimum and maximum generated powers, machine can deliver.…”

Section: Introductionmentioning

confidence: 99%