基于混合藤Copula模型的风光联合发电相关性建模及其在无功优化中的应用Modeling of Multi-Dimensional Wind and PV Farm Output Correlation Based on Mixture Vine Copula Structures and its Application in Reactive Power Optimization
邱宜彬;欧阳誉波;徐蓓;李奇;陈维荣;
摘要(Abstract):
为解决多维风光联合发电相关性建模问题,提出结合K-means聚类和藤结构原理建立混合藤Copula模型。考虑光伏出力昼夜周期性,利用混合藤Copula模型重点分析风光联合出力在日间的相关性,并在该模型的基础上结合回溯搜索算法对电力系统进行无功优化。以美国某地区相邻2个风电场、1个光伏电场的实测数据为例,在IEEE 30节点系统中对所提方法进行验证。算例结果表明,所提方法能够更准确地描述多维风光出力的相关性,并且利用该方法建立的无功优化模型能有效降低网损,减少节点电压偏差和发电机无功偏差。
关键词(KeyWords): K-means聚类;混合藤Copula模型;回溯搜索算法;无功优化
基金项目(Foundation): 国家自然科学基金(61473238;51407146);; 四川省杰出青年基金(2015JQ0016)~~
作者(Author): 邱宜彬;欧阳誉波;徐蓓;李奇;陈维荣;
Email:
DOI: 10.13335/j.1000-3673.pst.2016.1164
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