摘要
微能源网可实现多种能源的转换,有效解决能源供需匹配和可再生资源利用问题,满足用户对电能、热能和冷能的需求,是能源互联中的重要发展单元,实现能源体系向清洁低碳转型,具有推广价值。在分析各类设备的运行特性的基础上,建立微能源网的系统模型,提出以经济性、环保性和能源利用率为目标的联合优化策略,使微能源网系统综合效益最大化。求解算法方面,提出基于轮盘赌算法的改进PSO算法,实现粒子搜索机制的多元化,提高计算准确度的同时,确保PSO算法实现全局最优。选取某工业园作为仿真分析对象,算例数据表明,包含风-光-储设备、冷/热/电联供和电/气转换设备的微能源网系统能实现能源均衡配置。多目标联合优化后,综合协调经济性、环保性和能源利用率三个目标达成系统运行最优,使系统综合效益最大化。
Micro-energy network can achieve the conversion of multiple energy sources,effectively solve the problem of energy supply and demand matching and renewable resource utilization,meet the needs of users for electricity,heat and cold energy,and is an important development unit in energy interconnection.It realizes the transformation of the energy system to clean and low-carbon,and has promotion value.On the basis of analyzing the operational characteristics of various devices,this article establishes a system model of the micro energy grid and proposes a joint optimization strategy aimed at economy,environmental protection,and energy utilization efficiency,in order to maximize the comprehensive benefits of the micro energy grid system.In terms of solving algorithms,an improved PSO algorithm based on roulette wheel algorithm is proposed to diversify particle search mechanisms,improve computational accuracy,and ensure that the PSO algorithm achieves global optimization.Selecting an industrial park as the simulation analysis object,the example data shows that a micro energy grid system containing wind light storage equipment,cold/hot/electricity combined supply,and electricity/gas conversion equipment can achieve energy balance configuration.After multi-objective joint optimization,by comprehensively coordinating the economic,environmental,and energy utilization goals,the optimal system operation is achieved,maximizing the comprehensive benefits of the system.
作者
廖天阳
LIAO Tianyang(Guangdong Zhongnan Co.,Ltd.,Shaoguan 512000,China)
出处
《电气应用》
2023年第12期59-67,I0004,共10页
Electrotechnical Application
关键词
风-光-储
微能源网
多目标优化
改进PSO算法
wind-solar-storage
micro-energy network
multi-objective optimization
improved PSO algorithm