Probabilistic Power Flow in Radial Distribution Systems using Point Estimate Methods

被引：0

作者：

Krishna, Attoti Bharath ^{[1
]}

Gupta, Nikhil ^{[1
]}

Niazi, K. R. ^{[1
]}

Swarnkar, Anil ^{[1
]}

机构：

[1] Malaviya Natl Inst Technol Jaipur, Dept Elect Engn, Jaipur 302017, Rajasthan, India

来源：

2017 4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2017年

关键词：

deterministic load flow; Monte Carlo simulation; point estimate methods; probabilistic power flow; uncertainty;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Distribution system optimization problem involves several uncertain random variables on account of stochastic nature of load demand and power generation from renewable energy sources. These issues obligates the use of probabilistic power flow while solving any distribution system optimization problem. Hong's point estimate method (PEM) is a well-known tool used in transmission systems having meshed topologies to deal with uncertainty. This paper investigates the applicability of this method in radial distribution systems which yet remains unexplored. Both and schemes of Hong's point estimate method have been investigated and their performance is compared with Monte Carlo based analysis. The application results obtained on the benchmark IEEE 33-bus and IEEE 69-bus test distribution systems are presented.

引用

页数：6

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