含可再生能源的冷热电联供能源系统调度优化  

Dispatching optimization of CCHP energy system with renewable energy

作　　者：王鑫 张玲华[1,2] WANG Xin;ZHANG Linghua(College of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Jiangsu Engineering Research Center of Communication and Network Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学通信与信息工程学院,江苏南京210003 [2]南京邮电大学江苏省通信与网络技术工程研究中心,江苏南京210003

出　　处：《电子设计工程》2024年第14期25-29,共5页Electronic Design Engineering

基　　金：湖北省重点实验室开放基金(HBSEES202113)。

摘　　要：针对含可再生能源的冷热电联供能源系统的调度优化问题,构建了燃气发电机、燃气锅炉、热回收系统、电制冷机、吸收制冷机等机组模型,考虑天然气费率结构和分时电价,基于夏、冬两季节典型日风光出力和电、热、冷负荷需求特性曲线,提出以购买天然气成本、向电网购售电成本及环保成本总和最低为目标函数的调度优化模型,并考虑了各设备的运行约束及负荷平衡约束,提出一种改进的粒子群算法求解模型。不同季节的仿真结果表明,改进的粒子群算法求解模型能够有效降低能源系统的总成本,为能源的综合利用提供了依据。In order to resolve the dispatching optimization problem for CCHP energy system with renewable energy,the unit models of gas generator,gas boiler,heat recovery system,electric refrigerator,absorption refrigerator,etc.are constructed.Considering the natural gas tariff structure and time of use electricity price,based on the typical daily wind power output and power,heat and cooling load demand characteristic curves in summer and winter.The minimum total cost of purchasing natural gas,purchasing and selling electricity to the power grid and environmental protection cost is the objective function of the dispatching optimization model is proposed.Considering the operation constraints and load balance constraints of each equipment,an improved particle swarm optimization algorithm is proposed to solve the model.The simulation results in different seasons show that the improved PSO algorithm can effectively reduce the total cost of the energy system,which provides a basis for the comprehensive utilization of energy.

关 键 词：冷热电联供 可再生能源 费率结构 改进粒子群算法 调度优化 

分 类 号：TN99[电子电信—信号与信息处理]