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首页> 外文期刊>International Journal of Innovative Computing Information and Control >OPTIMIZATION OF HYBRID ENERGY SYSTEM BASED ON PARETO DIFFERENTIAL EVOLUTION ALGORITHM
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OPTIMIZATION OF HYBRID ENERGY SYSTEM BASED ON PARETO DIFFERENTIAL EVOLUTION ALGORITHM

机译:基于帕累托微分进化算法的混合能源系统优化

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摘要

In order to achieve the goal of energy-saving and emission reduction, a hybrid energy system has been proposed compared to the traditional diesel engine power generation, but the technology is still immature and in the process of development. Firstly, the differential evolution algorithm and Pareto optimal strategy are used to optimize the system configuration. Then the simulation analysis is carried out by MATLAB, including comparison of various hybrid energy schemes, comparison of different object number schemes and comparison with traditional diesel engine power generation systems. The simulation results show that the method has better performance in terms of cost, service life and pollutant emissions, and is superior to the traditional scheme.
机译:为了实现节能减排的目的,与传统的柴油发动机发电相比,已经提出了混合能源系统,但是该技术仍不成熟并且仍在发展中。首先,使用差分进化算法和帕累托最优策略来优化系统配置。然后通过MATLAB进行仿真分析,包括各种混合能源方案的比较,不同对象编号方案的比较以及与传统柴油机发电系统的比较。仿真结果表明,该方法在成本,使用寿命,污染物排放等方面具有较好的性能,优于传统方案。

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