计及FCSNPS路径寻优的综合能源系统优化调度策略  

An Optimal Scheduling Strategy of Integrated Energy Systems Considering FCSNPS-Based Path Optimization

作　　者：王涛 张庆 WANG Tao;ZHANG Qing(School of Electrical Engineering and Electronic Information,Xihua University,Chengdu 610039 China)

机构地区：[1]西华大学电气与电子信息学院,四川成都610039

出　　处：《西华大学学报（自然科学版）》2023年第6期1-13,共13页Journal of Xihua University:Natural Science Edition

基　　金：国家自然科学基金项目(61703345)。

摘　　要：综合能源系统包含的设备和负荷类型众多。为提高能源设备之间的耦合程度,更好地从多条供能路径中确定最优的供能方式,文章提出一种计及模糊有色脉冲神经膜系统(fuzzy colored spiking neural P systems,FCSNPS)路径寻优的综合能源系统优化调度策略,探究其在不同运行条件下的优劣状况。首先,基于电-热-冷-气的多能流耦合模型,建立以运维成本最优为目标的调度函数,然后,将所建模型与FCSNPS相结合提出一种新颖的路径寻优推理模型(RIES-FCSNPS模型),最后,结合分时电价利用混合整数规划软件对所建系统的运行模型进行调度。仿真实验结果表明,计及FCSNPS路径寻优的综合能源系统调度策略不仅可以清晰地描述供能路径信息,还能评估不同运行方式下的整体效益。Nowadays,integrated energy systems contain many types of equipment and loads.In order to improve the coupling degree between energy equipment,and better determine the optimal energy supply mode from many energy supply paths,an optimal scheduling strategy of integrated energy systems considering path optimization based on fuzzy colored spiking neural P systems(FCSNPSs)is proposed.The advantages and disadvantages of the strategy under different operating conditions are explored.Firstly,considered the multi-energy coupling model of electric-heat-cold-gas flows,a scheduling function aiming at the optimal of operating cost is established. Secondly, a novel path optimization reasoning model is proposed by combining the established model with fuzzy colored spiking neural P systems(RIES-FCSNPS). Finally, the operation model of the system is scheduled by using the mixed integer planning software. The results of simulation experiments show that the FCSNPS-based integrated energy system considering path optimiza-tion can not only clearly describe the energy supply path information, but also evaluate the overall benefits under different operation modes.

关 键 词：综合能源系统 电–热–冷–气子系统 优化调度 脉冲神经膜系统 膜计算 路径寻优 区域综合能源系统 

分 类 号：TK018[动力工程及工程热物理]