基于改进遗传算法的乡村综合能源系统优化设计研究

Research on Optimal Design of Rural Integrated Energy System with Hydrogen Storage Structure Based on Improved Genetic Algorithm

摘要:

在当前全球能源转型以及“双碳”背景下,乡村传统用能模式的高成本、高污染弊端日益明显；针对中国乡村目前供能灵活性差、清洁度低等问题,结合乡村风、光资源更充分的优势,构建了一种含氢储能结构的新型综合能源系统(Integrated Energy System,IES)及基于改进的C-NSGA-II算法的容量配置与运行优化的设计方法,并设置“日均成本节约率”“CO2减排率”以及“?效率提升率”评价指标；实验表明所提出系统相比于乡村传统的能源分供系统,夏季典型日的三种指标结果为:21.75%、91.03%、97.24%；冬季典型日的结果为42.97%、67.31%、55.54%,显著提升供能系统的经济性、低碳性、节能性,对未来乡村能源结构转型具有一定的指导意义。

Abstract:

Under the background of global energy transformation and "dual carbon", the disadvantages of high cost and high pollution of traditional rural energy use mode are increasingly obvious; Aiming at the problems of poor energy supply flexibility and low cleanliness in rural China, a new integrated energy system (IES) with hydrogen energy storage structure and a design method of capacity allocation and operation optimization based on the improved C-NSGA-II algorithm were constructed in combination with the advantages of more abundant wind and light resources in rural areas. Exergic efficiency improvement rate and average daily cost saving rate, CO2 emission reduction rate and exergic efficiency improvement rate have been set up. The experimental results show that compared with the traditional energy distribution system in rural areas, the results of three indexes on typical summer days are 21.75%, 91.03% and 97.24%. The results of typical winter days were 42.97%, 67.31% and 55.54%, which significantly improved the economy, low carbon and energy saving of the energy supply system, and had certain guiding significance for the future rural energy structure transformation.