Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators

By S. Conti, S. Raiti. 2007

218 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/21d4ef2a8e4fbb251480722e2083827defe272bb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Chongqing Kang
2. Wenyuan Li
3. Jingwei Yang
4. Yi Wang
5. Qixin Chen
6. Ning Zhang
7. Jun-hui Huang

In Safety, Risk, Reliability and Quality

1. Chongqing Kang
2. Jingwei Yang
3. Yi Wang
4. Qixin Chen
5. Ning Zhang
6. Jun-hui Huang

Citations in the corpus

• Chronological Probability Model of Photovoltaic Generation (2014, background): “Another approach is to derive a parametric probability model of PV power [7], [8] based on an assumption of the probability distribution function of clearness index [9].”
• Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System (2017, methodology): “Monte Carlo is the most frequently used stochastic simulation method [6], and such a method could be time consuming because the power flow must be calculated for each sampling.”