Research On Multi-time Scale Optimal Scheduling Of Integrated Energy Systems

With the increasingly prominent problem of energy shortage,people have put forward more requirements towards environmental protection and efficient use of energy supply systems in recent years.Integrated energy systems can meet various energy demands and realize the cascade utilization of energy,which has attracted wide attention at home and abroad.With the increasing installed capacity of wind turbines,the phenomenon of wind abandonment is more and more serious.How to improve the capacity of wind power consumption has become a key issue affecting the healthy development of the wind power industry in China,and the prediction accuracy of wind power is inversely proportional to the time scale.In view of this problem,the integrated energy system is taken as the research object,and the multi-time scale optimal scheduling is studied in our thesis.The specific research contents are as follows:Firstly,the research status of wind power utilization,co-generation scheduling,multi-time scale scheduling and power and heat system scheduling are analyzed in this paper.The modeling analysis is made for each unit equipment in the integrated energy systems.Secondly,an artificial fish swarm-shuffled frog leaping(AFS-SFL)hybrid algorithm is proposed.And an improved AFS-SFL hybrid algorithm is proposed to improve the iteration effect of the AFS-SFL hybrid algorithm in higher-dimensional iteration.The simulation results show that the algorithm has better effect in higher-dimensional iteration.Thirdly,through comprehensive consideration on the effect of electric boilers,energy storage and heat tanks on wind power utilization,an optimal scheduling model is created and it includes operation and maintenance costs,wind abandoning costs,coal-burning costs and environmental pollution costs.Furthermore,constraints are given combining with the actual operation conditions.Based on the prediction of day-ahead electric,heat load and wind power,the optimal scheduling scheme is determined by adopting the improved AFS-SFL hybrid algorithm to maximize the comprehensive benefits of the scheduling.Then,a multi-time scale optimal scheduling method is proposed to reduce the problem that the ability of day-ahead scheduling plan tracking load decreases caused by wind power forecasting errors.The rolling plan scheduling model and the real-time plan scheduling model are established on the basis of the day-ahead scheduling plan.The models can reduce the impact of forecasting errors of wind power,power load and heat load on the scheduling of integrated energy system.Through further optimizing the output of each unit,the results show that the multi-time-scale optimal scheduling improves not only the wind power utilization capacity but also load-following capability.The result also verifies the effectiveness and necessity of the scheduling method.