基于多目标优化算法的综合能源循环运行控制策略研究

Research on integrated energy cycle operation control strategy based on multiobjective optimization algorithm

针对农业园区生产成本高、能源利用率低的问题,提出了一种基于非支配排序改进遗传算法(NSMGA)的农业综合能源循环系统多目标运行控制方法。在建立计及经济性与环保性的多目标优化运行控制模型的基础上,以系统运行成本最低和消纳率最高为优化目标,约束条件包括功率平衡、设备运行、光伏调度出力等,采用改进的综合多目标优化算法进行求解。仿真结果表明,相比于传统NSGA算法,所提算法具有更强的搜索能力,且优化结果更加准确;所提多目标运行控制模型相比于单目标模型,在运行控制过程中能够兼顾环保性与经济性,其不但降低了农业综合能源循环系统运行成本且提高了光伏消纳率。

In view of the problems of high production cost and low energy utilization in agricultural parks,a multi-objective operation control method of agricultural comprehensive energy cycle system based on non dominated sorting improved genetic algorithm(NSMGA)is proposed in this paper.Based on the establishment of a multi-objective optimization operation control model considering economy and environmental protection,the optimization objective is to minimize the system operation cost and maximize the consumption rate.The constraints include power balance,equipment operation and photovoltaic dispatching output,which are solved by an improved comprehensive multi-objective optimization algorithm.Simulation results show that compared with the traditional NSGA algorithm,the proposed algorithm has stronger search ability and more accurate optimization results;Compared with the single objective model,the proposed multi-objective operation control model can take into account environmental protection and economy in the operation control process.It not only reduces the operation cost of agricultural comprehensive energy cycle system,but also improves the photovoltaic consumption rate.