Automation of Electric Power SystemsVol. 39, Issue 20, Pages: 72-77(2015)
作者机构:
广西大学电气工程学院, 广西壮族自治区南宁市,530004
作者简介:
基金信息:
DOI:
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Published:2015
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WANG Chaoqun. [J]. Automation of electric power systems, 2015, 39(20): 72-77.
DOI:
WANG Chaoqun. [J]. Automation of electric power systems, 2015, 39(20): 72-77.DOI:
基于区间不确定性的约束潮流
摘要
针对电力系统潮流计算中因新能源注入、负荷变化等因素而引起的计算数据的不确定性问题
提出一种新的基于区间算法的约束潮流模型。首先
将输入数据的变化表示为区间的形式
然后
将传统的潮流方程转变为考虑电压、无功功率等约束的优化模型;在求解过程中
引入区间的可比较性概念
将该不确定的约束潮流问题分解成两个确定性的约束优化子问题
即上界子问题和下界子问题
并利用现代内点算法进行求解
得到潮流解的上下界。最后
对IEEE 14
57
118节点系统和实际华南703节点系统进行仿真计算
并与经典的计算区间潮流的仿射算法和蒙特卡洛模拟法得到的结果进行对比
证明了该算法不仅结构简单
而且可以极大地提高计算效率。
Abstract
In view of the uncertainty problem of the input data due to renewable energy injection and load changes
a new constrained power flow model based on the interval algorithm is proposed. First
the input data changes are expressed in an interval form
and then the traditional power flow equations are converted into an optimization model considering voltage and reactive power constraints. In the solving process
the interval comparative concept is introduced
and the uncertain constrained optimization problem is decomposed into two deterministic subproblems
or the upper bound and lower bound problem. Finally
the two subproblems are solved by the modern interior point algorithm to obtain the upper and lower bound solutions. Extensive numerical simulations on IEEE 14bus
57bus
118bus systems and South China 703bus system
have demonstrated the effectiveness and rapidity of the proposed method as compared to affine arithmetic and Monte Carlo simulation. This work is supported by National Basic Research Program of China (973 Program) (No. 2013CB228205) and National Natural Science Foundation of China (No. 51167001).