基于改进粒子群算法的变工况综合能源系统优化调度  

Optimized Scheduling of Variable Condition Integrated Energy System Based on Improved Particle Swarm Optimization Algorithm

作　　者：封龙 梁绍华[2] 邹磊[3] 陶成飞 吴旭洋 Feng Long;Liang Shaohua;Zou Lei;Tao Chengfei;Wu Xuyang(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China;School of Energy and Power Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China;Jiangsu Fangtian Electric Power Technology Co.,Ltd.,Nanjing Jiangsu 211102,China)

机构地区：[1]南京工程学院电力工程学院,江苏南京211167 [2]南京工程学院能源与动力工程学院,江苏南京211167 [3]江苏方天电力技术有限公司,江苏南京211102

出　　处：《电气自动化》2025年第1期16-19,22,共5页Electrical Automation

基　　金：中国博士后科学基金面上项目(2023M731492);江苏省基础研究计划青年基金项目(BK20230699);南京工程学院引进人才科研启动基金项目(YKJ202107)。

摘　　要：为提升综合能源系统优化调度的准确性和经济性,提出了一种基于改进粒子群算法与设备变工况特性的综合能源系统优化调度策略。首先,建立了综合能源系统运行优化一体化模型,并利用连续分段函数对设备变工况特性进行拟合处理,以提高模型的适应性和可靠性。然后,引入自适应的参数因子和柯西高斯变异对粒子群算法进行改进。最后采用改进粒子群算法与其他算法对综合能源系统进行求解,发现改进后的粒子群算法求解出的系统日运行成本低于其他算法,此时系统中各设备的出力也得到合理优化。验证了模型和算法的有效性。A comprehensive energy system optimized scheduling strategy based on improved particle swarm optimization algorithm and equipment variable condition characteristics was proposed to improve the accuracy and economy of integrated energy system optimized scheduling.Firstly,an integrated model for optimizing the operation of the integrated energy system was established,and continuous segmented functions were used to fit the equipment’s variable operating conditions characteristics,in order to improve the adaptability and reliability of the model.Then,adaptive parameter factors and Cauchy Gaussian mutation were introduced to improve the particle swarm algorithm.Finally,the improved particle swarm optimization algorithm and other algorithms were used to solve the integrated energy system.It is found that the daily operating cost of the system solved by the improved particle swarm algorithm is lower than that of other algorithms,and the output of each equipment in the system is also reasonably optimized.Therefore,the effectiveness of the model and algorithm is thus verified.

关 键 词：综合能源系统 变工况特性 改进粒子群算法 多类型设备 优化调度 

分 类 号：TM73[电气工程—电力系统及自动化]