Economic and environmental load dispatch aims to determine the amount of electricity generated from power plants to meet load demand while minimizing fossil fuel costs and air pollution emissions subject to operationa...Economic and environmental load dispatch aims to determine the amount of electricity generated from power plants to meet load demand while minimizing fossil fuel costs and air pollution emissions subject to operational and licensing requirements.These two scheduling problems are commonly formulated with non-smooth cost functions respectively considering various effects and constraints,such as the valve point effect,power balance and ramprate limits.The expected increase in plug-in electric vehicles is likely to see a significant impact on the power system due to high charging power consumption and significant uncertainty in charging times.In this paper,multiple electric vehicle charging profiles are comparatively integrated into a 24-hour load demand in an economic and environment dispatch model.Self-learning teaching-learning based optimization(TLBO)is employed to solve the non-convex non-linear dispatch problems.Numerical results onwell-known benchmark functions,as well as test systems with different scales of generation units show the significance of the new scheduling method.展开更多
Current Retinex-based image enhancement methods with fixed scale filters cannot adapt to situations involving various depths of field and illuminations.In this paper,a simple but effective method based on adaptive ful...Current Retinex-based image enhancement methods with fixed scale filters cannot adapt to situations involving various depths of field and illuminations.In this paper,a simple but effective method based on adaptive full-scale Retinex(AFSR)is proposed to clarify underwater images or videos.First,we design an adaptive full-scale filter that is guided by the optical transmission rate to estimate illumination components.Then,to reduce the computational complexity,we develop a quantitative mapping method instead of non-linear log functions for directly calculating the reflection component.The proposed method is capable of real-time processing of underwater videos using temporal coherence and Fourier transformations.Compared with eight state-of-the-art clarification methods,our method yields comparable or better results for image contrast enhancement,color-cast correction and clarity.展开更多
基金The authors would also like to thank UK EPSRC under grant EP/L001063/1 and China NSFC under grants 51361130153 and 61273040.
文摘Economic and environmental load dispatch aims to determine the amount of electricity generated from power plants to meet load demand while minimizing fossil fuel costs and air pollution emissions subject to operational and licensing requirements.These two scheduling problems are commonly formulated with non-smooth cost functions respectively considering various effects and constraints,such as the valve point effect,power balance and ramprate limits.The expected increase in plug-in electric vehicles is likely to see a significant impact on the power system due to high charging power consumption and significant uncertainty in charging times.In this paper,multiple electric vehicle charging profiles are comparatively integrated into a 24-hour load demand in an economic and environment dispatch model.Self-learning teaching-learning based optimization(TLBO)is employed to solve the non-convex non-linear dispatch problems.Numerical results onwell-known benchmark functions,as well as test systems with different scales of generation units show the significance of the new scheduling method.
基金supported by the National Natural Science Foundation of China under Grant Nos.62001129 and 62161051the Xingdian Talent Support Program 2022 of Yunnan Province of China+1 种基金the Yunnan University of Finance and Economics Foundation under Grant No.2021D17the Guangxi Provincial Natural Science Foundation under Grant No.2021GXNSFBA075029.
文摘Current Retinex-based image enhancement methods with fixed scale filters cannot adapt to situations involving various depths of field and illuminations.In this paper,a simple but effective method based on adaptive full-scale Retinex(AFSR)is proposed to clarify underwater images or videos.First,we design an adaptive full-scale filter that is guided by the optical transmission rate to estimate illumination components.Then,to reduce the computational complexity,we develop a quantitative mapping method instead of non-linear log functions for directly calculating the reflection component.The proposed method is capable of real-time processing of underwater videos using temporal coherence and Fourier transformations.Compared with eight state-of-the-art clarification methods,our method yields comparable or better results for image contrast enhancement,color-cast correction and clarity.
