混合控制策略动态优化多负荷CCHP微网系统  

Dynamic Optimization of Multi-load CCHP Microgrid System by Hybrid Control Strategy

作　　者：马立新 汤浩 唐继旭 MA Li-xin;TANG Hao;TANG Ji-xu(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Aerospace Smart Energy Technologies Co.,Ltd.,Shanghai 201108,China)

机构地区：[1]上海理工大学机械工程学院,上海200093 [2]上海航天智慧能源技术有限公司,上海201108

出　　处：《控制工程》2022年第1期1-9,共9页Control Engineering of China

基　　金：超大型城市保障重要负荷安全的智慧能源关键技术及应用(18DZ1203400)。

摘　　要：为了降低含冷、热、电、气负荷多能互补微网的运行成本,并解决在传统控制方法下微网系统耗能大、响应慢及稳定性差等问题,提出了一种基于最短距离的CCHP系统混合控制策略。首先从系统运行经济性、稳定性和环保角度建立微网综合能源模型,结合传统控制方式建立4个运行场景,采用主副协同动态粒子群算法进行优化。实验结果表明,该控制策略在优化结果中的经济性及优化效率综合最优,为电力用户提供了一种经济、安全、高效的控制策略,具有良好的工程实用性。In order to reduce the operating cost of the multi-energy complementary microgrid with cold,heat,electricity and gas loads,and solve the problems such as high energy consumption,slow response and poor stability of the microgrid system under the traditional control method,a hybrid control strategy based on the shortest distance CCHP system is proposed.First of all,from the perspectives of system running economy,stability,and environmental protection,microgrid integrated energy model is established.Combined with the traditional control method,four running scenarios are established,and the principal deputy cooperative dynamic particle swarm algorithm is adopted for optimization.The experimental results show that the economic and optimization efficiency of the control strategy in the optimization results are comprehensively optimal,and it provides an economical,safe and efficient control strategy for power users,and has good engineering practicability.

关 键 词：热冷电联产 综合能源系统 优化调度 控制策略 粒子群算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]