基于舒适度和耦合协调度的风光生物质多能互补系统容量配置优化

Optimization Study of Wind/light/biomass Multi-energy Complementary System Capacity Configuration Based on Comfort and Coupling Coordination

搭建合理的评价系统是系统容量配置优化的重要前提。传统的指标系统没有将用户端的热负荷和冷负荷纳入评价目标,而且评价体系缺少统一的标准。基于此,在传统指标的基础上引入舒适度指标并考虑其耦合协调度关系,旨在解决指标纷繁众多的问题并更加真实有效地对系统容量配置进行优化。首先搭建了多维度评价指标体系,利用云模型对评价指标进行划分;其次,在传统指标的基础上引入了舒适度指标;最后,在主客观评价法的基础上引入耦合协调度方法。结果表明,耦合协调度方法对综合评价结果有明显的修正作用,消除了高关联性指标重复性评价的影响,可为不同评价指标体系带来的不同评价结果的问题提供有效解决途径;此外,加入舒适度指标可以有效权衡用户端用冷用热的需求,可以更真实地对系统进行评价。

Building a reasonable evaluation system is an important prerequisite for optimizing system capacity allocation.The traditional indicator system does not include the user side's heat and cold load in the evaluation target,and the evaluation system lacks harmonized criteria.Based on this,the introduction of the comfort index is based on the traditional indicators and the consideration of its coupling and coordination degree relationship.The aim is to address the multitude of metrics and to optimize system capacity allocation more realistically and efficiently.In this paper,firstly,a multi-dimensional evaluation index system is constructed,and the cloud model is utilized to divide the evaluation indexes;secondly,comfort indexes are introduced based on traditional indexes.Finally,the coupling coordination degree method is introduced based on subjective and objective evaluation method.The results show that the coupled coordination degree method has a significant corrective effect on the comprehensive evaluation results,eliminates the influence of the repetitive evaluation of high correlation indexes,and can provide an effective solution to the problem of different evaluation results brought about by different evaluation index systems;moreover,the inclusion of the comfort indexes can effectively weigh the demand for cold and heat at the user end,and can evaluate the system more realistically.