基于数字孪生的混合微电网多目标优化调度  

DIGITAL TWIN-BASED MULTI-OBJECTIVE OPTIMAL SCHEDULING FOR HYBRID MICROGRIDS

作　　者：张冬生 刘洪 李朝锋 Zhang Dongsheng;Liu Hong;Li Chaofeng(CHN Energy Xinjiangganquanpu Comprehensive Energy CO.,LTD.,Urumqi 830000,China;Beijing SP Zhishen Control Technology Co.,Ltd.,Beijing 102209,China)

机构地区：[1]国能新疆甘泉堡综合能源有限公司,乌鲁木齐830000 [2]国能智深控制技术有限公司,北京102209

出　　处：《太阳能学报》2025年第2期184-192,共9页Acta Energiae Solaris Sinica

基　　金：新疆维吾尔自治区重大科技专项(2022A001-1)。

摘　　要：针对传统交直流混合微电网日优化调度面临的包括设备建模过于简化、信息捕获与传输不及时等诸多问题,提出一种基于数字孪生的交直流混合微电网多目标优化调度方法。首先,考虑到微电网易受局部气象条件、本地负载、外部大电网环境等因素的影响发生扰动,建立交直流混合微电网的数字模型;然后,以经济效益和储能装置健康度为目标,提出一种基于改进档案维护策略和模糊决策方法的多目标粒子群算法用于实现对储能装置出力情况的实时调度优化;最后,基于Cloudpss平台建立微电网的测试模型,进行仿真实验。结果表明,所提方法能在兼顾储能装置健康度的前提下提高微电网的经济效益。The daily optimal scheduling of traditional AC/DC hybrid microgrid faces many problems,including over-simplified equipment modeling,delayed information capture and transmission,etc.This paper proposes a multi-objective optimization scheduling method for AC/DC hybrid microgrid based on digital twin.Firstly,the digital model of AC/DC hybrid microgrid is established,considering that the microgrid is easily disturbed by local meteorological conditions,local load,external large grid environment and other factors.Then,taking economic benefit and health degree of energy storage device as goals,a multi-objective particle swarm optimization algorithm based on improved archive maintenance strategy and fuzzy decision method is proposed to realize the real-time scheduling optimization of energy storage device output.Finally,the microgrid simulation model is established based on Cloudpss platform.The simulation results show that the proposed method can improve the economic efficiency of the microgrid under the premise of maintaining the health of the energy storage device.

关 键 词：数字孪生 微电网 多目标优化 粒子群算法 模糊决策 

分 类 号：TM734[电气工程—电力系统及自动化]