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作 者:张长云 冉涛 李章荣 樊崇亮 夏太鹏 杨紫威 丁伟健 ZHANG Changyun;RAN Tao;LI Zhangrong;FAN Chongliang;XIA Taipeng;YANG Ziwei;DING Weijian(Liupanshui Power Supply Bureau,Guizhou Power Grid Co.,Ltd.,Liupanshui 553000,Guizhou,China)
机构地区:[1]贵州电网有限责任公司六盘水供电局,贵州六盘水553000
出 处:《电力大数据》2023年第11期13-23,共11页Power Systems and Big Data
摘 要:微电网电源容量的优化配置是微电网规划和建设初期的关键步骤。这需要根据建设地点的气象数据、地理位置和负荷需求,在满足经济性和可靠性的前提下,合理地配置微电网的电源容量。本文以高原地区的某独立微电网为研究对象,提出了一种基于典型气象年和制氧可时移负荷的独立微电网电源容量配置优化方法。算法综合考虑了可再生能源装机容量比、供电可靠性和供氧可靠性等多种约束条件,以微电网全寿命周期内年平均成本最小为目标函数,并采用遗传算法求解这个优化配置模型。本文对不同方案下的配置结果进行了分析,验证了所提方法的可行性。该研究为独立微电网的规划和建设提供了参考,有助于实现能源的高效利用和经济性,同时也提高了供电和供氧的可靠性。The optimization and configuration of power capacity in microgrids are crucial initial steps in microgrid planning and construction.This process requires rational allocation of power sources within the microgrid,considering meteorological data,geographic location,and load demands while meeting economic and reliability constraints.This paper focuses on an independent microgrid in a plateau region and proposes an optimization method for configuring power capacity based on typical meteorological years and time-shiftable oxygen-dependent loads.The algorithm takes into account various constraints,including the ratio of installed renewable energy capacity,power supply reliability,and oxygen supply reliability.The objective is to minimize the annual average cost over the microgrid's entire lifecycle,and a genetic algorithm is used to solve this optimization model.The paper analyzes the results of different configurations and validates the feasibility of the proposed method.This research provides guidance for the planning and construction of independent microgrids,contributing to efficient energy utilization,cost-effectiveness,and improved reliability of power and oxygen supply.
关 键 词:独立微电网 容量优化配置 典型气象年 可时移负荷 遗传算法
分 类 号:TM715[电气工程—电力系统及自动化]
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