Probabilistic optimal power flow

被引：0
|
作者：
Madrigal, M [1 ]
Ponnambalam, K [1 ]
Quintana, VH [1 ]
机构：
[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada
来源：
UNIVERSITY AND INDUSTRY - PARTNERS IN SUCCESS, CONFERENCE PROCEEDINGS VOLS 1-2 | 1998年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new formulation and solution approach to a Probabilistic Optimal Pourer Flour (POPF) problem. In this formulation, system demand is taken as a random vector of correlated variables, which allows us to consider the dependence between load types and locations. The POPF is clearly formulated and the optimality conditions are considered as a general nonlinear probabilistic transformation. A. First-Order Second-Moment Method (FOSMM) is used to find their statistical characteristics. Computer results, and their comparisons to Monte Carlo Simulation (MCS) approach, demonstrate the accuracy of our proposed methodology.
引用
收藏
页码：385 / 388
页数：4
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