Optimization Study of Wind/light/biomass Multi-energy Complementary System Capacity Configuration Based on Comfort and Coupling Coordination
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.
万方数据
