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作 者:陆鑫 李明[1,2] 赵宏 范英杰 罗熙 LU Xin;LI Ming;ZHAO Hong;FAN Yinjie;LUO Xi(Research Institute of Solar Energy,Yunnan Normal University,Kunming 650500,China;Southwest United Graduate School,Kunming 650500,China)
机构地区:[1]云南师范大学太阳能研究所,云南昆明650500 [2]西南联合研究生院,云南昆明650500
出 处:《云南师范大学学报(自然科学版)》2025年第1期12-18,共7页Journal of Yunnan Normal University:Natural Sciences Edition
基 金:云南省重大科技专项资助项目(202202AE0900110).
摘 要:针对光伏冷库稳定运行需平衡太阳发电突变与冷库冷量变化的问题,提出了一种用于光伏冰蓄冷冷库的控制方法,实现电冷平衡以提升系统运行效率.系统采用数据预测与移动平均算法,将光伏系统功率分解为系统输入功率与电网存取功率,减小短期内光伏功率差及电能存取值,使系统运行稳定性得到有效提升.实验测试表明,所设计的光伏蓄冷系统太阳能保证率与光伏消纳率较无控制策略下的光伏冷库分别提升了9.76%和8.29%,且在辐照突变条件下,最大并网功率减小77.80%,实现光伏发电最大限度自发自用与冷库稳定运行.The stable operation of photovoltaic cold storage requires the simultaneous resolution of the energy balance issue between the sudden changes in solar power generation and the variations in cold storage capacity.A control method for photovoltaic ice storage cold storage is proposed to achieve the balance between electricity and coldness and improve the system's operational efficiency.This system employs data prediction and moving average algorithms to decompose the photovoltaic system's power into input power to the system and power exchange with the grid,reducing the short-term difference in photovoltaic power and the value of energy exchange,thereby effectively enhancing the system's operational stability.Field tests show that the solar energy guarantee rate and photovoltaic consumption rate of the designed photovoltaic cold storage system have increased by 9.76% and 8.29% respectively compared to the photovoltaic cold storage without control strategies.Moreover,under typical cloudy and rainy conditions,the maximum grid-connected power is reduced by 77.80%,achieving the maximum self-consumption of photovoltaic power and stable operation of the cold storage.
分 类 号:TM73[电气工程—电力系统及自动化]
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