基于改进粒子群算法的冷热电联供微网优化调度  

Optimal scheduling of micro grid with CCHP systems based on improved particle swarm optimization algorithm

作　　者：邓剑波 马瑞[1] 胡振文 陈可 杨海晶 杨旭 DENG Jian-bo;MA Rui;HU Zhen-wen;CHEN Ke;YANG Hai-jing;YANG Xu(School of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410004,China;HAEPC Electric Power Research Institute,Zhengzhou 450052,China;Hunan Electric Power Corporation of Chinese State Grid,Changsha 410076,China)

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410004 [2]河南省电力公司电力科学研究院,河南郑州450052 [3]国网湖南省电力有限公司,湖南长沙410076

出　　处：《电力科学与技术学报》2018年第2期35-42,共8页Journal of Electric Power Science And Technology

基　　金：国家自然科学基金(51677007);湖南省教育厅创新平台开放基金(54291)

摘　　要：针对冷热联供微网的调度问题,从可再生能源利用率、经济效益和节能减排等方面考虑,建立以风能、太阳能、天然气和储能协同供能的冷热电联供优化调度模型。综合考虑燃料和购售电费率结构,以最小运行成本和环境成本为目标进行优化,并采用改进的粒子群优化算法对提出的高维优化问题进行求解。通过采用粒子相对进步度来自适应调整粒子群参数,在速度更新过程中,用所有粒子个体最优值的平均值替代粒子群中最差的个体最优值,算法提高了高维复杂问题的收敛速度和求解精度。算例仿真验证所提模型和改进算法的有效性,结果表明模型对促进各种能源的综合利用具有实际的意义。In order to improve the renewable energy utilization,economic benefits,the energy saving and the emission reduction of micro grid,the optimal scheduling model is established for the combined cooling,heating and electric power systems composed of wind energy,solar energy,natural gas and energy storage.The minimum operation cost and environmental cost are selected as the target of optimization based on the comprehensive consideration of cost structure of purchase and sale.Moreover,an improved particle swarm optimization（PSO）algorithm is adopted to solve the high dimensional optimization problem.In this algorithm,the particle relative progress degree is utilized to adaptively adjust the parameters of PSO in which the worst individual optimum is replaced by the average of all individual optimums during the speed update.Finally,an example is given to verify the effectiveness of the proposed model and the improved algorithm.The results show that the model has practical significance to promote the comprehensive utilization of various energy sources.

关 键 词：冷热电联供 微网 费率结构 改进粒子群优化算法 优化调度 

分 类 号：TM721[电气工程—电力系统及自动化]