Probabilistic Evaluation of Available Load Supply Capability for Distribution System

被引：83

作者：

Zhang, Shenxi ^{[1
]}

Cheng, Haozhong ^{[1
]}

Zhang, Libo ^{[1
]}

Bazargan, Masoud ^{[2
]}

Yao, Liangzhong ^{[3
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China

[2] Alstom Grid, Stafford ST17 4LX, England

[3] CEPRI, Beijing, Peoples R China

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2013年 / 28卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Distribution system; Latin hypercube sampling; Monte Carlo methods; power system availability; step-varied repeated power flow; uncertainty; INPUT VARIABLES; GENERATORS;

D O I：

10.1109/TPWRS.2013.2245924

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：

To describe the impact of uncertainties, such as fluctuation of bus loads and intermittent behavior of renewable generations, on the available load supply capability (ALSC) of distribution system accurately and comprehensively, this paper defines a series of meaningful indices for the probabilistic evaluation of ALSC. An efficient simulation method, Latin hypercube sampling-based Monte Carlo simulation (LHS-MCS), combined with step-varied repeated power flow method is proposed to compute the defined indices. Compared with simple random sampling-based Monte Carlo simulation (SRS-MCS), LHS-MCS is found to be more suitable for the probabilistic evaluation of ALSC. It can achieve more accurate and stable ALSC indices under relatively small sample sizes. The calculation speed of LHS-MCS is comparable with that of SRS-MCS under the same sample sizes, and the required CPU time of LHS-MCS is far less than SRS-MCS under the same calculation accuracy. Case studies carried out on the modified Baran & Wu 33-bus and the modified IEEE 123-bus distribution systems verify the feasibility of the defined indices and high performance of the proposed method.

引用

页码：3215 / 3225

页数：11

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