微电网动态调度模型  

Microgrid Dynamic Scheduling Model

作　　者：莫裘 邓嘉欣 刘方 MO Qiu;DENG Jia-Xin;LIU Fang(College of Energy and Mechanical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海电力学院能源与机械工程学院

出　　处：《工程热物理学报》2020年第2期293-298,共6页Journal of Engineering Thermophysics

基　　金：上海市自然科学基金(No.19ZR1420400,No.15ZR1417700);上海高校特聘教授(东方学者)岗位计划(No.2013-66);上海市教育发展基金会和上海市教育委员会“曙光计划”(No.14SG50)

摘　　要：微电网系统中可再生能源出力和建筑负荷均具有随机特性,使得传统方法难以描述其动态特征,随着可再生能源的大量接入,微电网系统结构也愈趋复杂化,本文基于Modelica非因果建模语言对含随机参数的复杂系统进行动态描述,实现对可再生能源发电、储能元件和可控负荷的耦合建模,并验证其准确性。运用动态模拟结合多种群遗传算法对典型微电网系统进行24 h运行策略调整,结果验证了该模型与动态调度方法的有效性。The output of renewable energy and building load in microgrid system are stochastic,which makes it difficult for traditional methods to describe dynamic characteristics of the system.With the large number of renewable energy access,the structure of microgrid system becomes more complex.Based on Modelica non-causal modeling language,this paper describes the dynamic behavior of complex system with stochastic parameters.The coupling model of renewable energy generation,energy storage components and controllable load is realized,and its accuracy is verified as well.Dynamic simulation and multi-population genetic algorithm are used to adjust the 24-hour operation strategy for a typical microgrid system.The results show that the model and dynamic dispatching method are effective.

关 键 词：可再生能源 MODELICA语言 遗传算法 动态调度 

分 类 号：TM721[电气工程—电力系统及自动化]