A multi-objective train-scheduling optimization model considering locomotive assignment and segment emission constraints for energy saving

The blank’s dimensions are an important focus of blank design as they largely determine the energy consumption and cost of manufacturing and further processing the blank. To achieve energy saving and low cost during the optimization of blank dimensions design, we established energy consumption and cost objectives in the manufacturing and further processing of blanks by optimizing the parameters. As objectives, we selected the blank’s production and further processing parameters as optimization variables to minimize energy consumption and cost, then set up a multi-objective optimization model. The optimal blank dimension was back calculated using the parameters of the minimum processing energy consumption and minimum cost state, and the model was optimized using the non-dominated genetic algorithm-II (NSGA-II). The effect of designing blank dimension in saving energy and costs is obvious compared with the existing methods.

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Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response

Energy Conversion and Management ◽

10.1016/j.enconman.2016.09.072 ◽

2016 ◽

Vol 128 ◽

pp. 160-177 ◽

Cited By ~ 59

Author(s):

Liwei Ju ◽

Huanhuan Li ◽

Junwei Zhao ◽

Kangting Chen ◽

Qingkun Tan ◽

...

Keyword(s):

Power Plant ◽

Electric Vehicles ◽

Demand Response ◽

Optimization Model ◽

Stochastic Scheduling ◽

Virtual Power ◽

Scheduling Optimization ◽

Virtual Power Plant ◽

Multi Objective

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Multi-objective Stochastic Scheduling Optimization Model for Virtual Power Plants with Carbon Emission Constraints

2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) ◽

10.1109/ei247390.2019.9061979 ◽

2019 ◽

Author(s):

Zeyuan Shen ◽

Zheng Wang ◽

Haibo Zhao ◽

Zebo Shen ◽

Ende Hu ◽

...

Keyword(s):

Optimization Model ◽

Power Plants ◽

Carbon Emission ◽

Stochastic Scheduling ◽

Virtual Power ◽

Scheduling Optimization ◽

Multi Objective ◽

Virtual Power Plants

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Micro Grid Scheduling Optimization Model Based on Multi-objective Genetic Algorithm

2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) ◽

10.1109/icitbs.2016.26 ◽

2016 ◽

Author(s):

Gang Shen ◽

Jian Zhuang ◽

Jiancheng Yu ◽

Ke Xu ◽

Yi Gao

Keyword(s):

Genetic Algorithm ◽

Optimization Model ◽

Grid Scheduling ◽

Scheduling Optimization ◽

Multi Objective ◽

Model Based ◽

Multi Objective Genetic Algorithm ◽

Micro Grid

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Parameter Optimization of Classroom Energy-Saving Controller Based on Fuzzy Multi-Objective Optimization Algorithm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.393-395.867 ◽

2011 ◽

Vol 393-395 ◽

pp. 867-870

Author(s):

Yi Zhong Wang ◽

Jun Chen ◽

Li Li Wang ◽

Qing Xin Meng

Keyword(s):

Fuzzy Logic ◽

Energy Saving ◽

Parameter Optimization ◽

Optimization Algorithm ◽

Optimization Model ◽

Electric Energy ◽

Illumination Intensity ◽

Multi Objective Optimization ◽

Multi Objective

In order to save electric energy for classroom lighting in universities, energy-saving controllers are used to control turning-on and turning-off of lights in a classroom based on the illumination intensity and the usage conditions of the classroom. Three parameters for an energy-saving controller, namely turning-on threshold, turning-off threshold, and delaying time, should be set before usage, which is usually done based on a user’s experience. In this paper, for optimizing the parameters, a multi-objective optimization model for an energy-saving controller is established. Then, fuzzy logic is used to optimize the parameters. In this way, an energy-saving controller can be used well.

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