Next Article in Journal
In Situ Stress Measurement Techniques on Li-ion Battery Electrodes: A Review
Previous Article in Journal
A Short-Current Control Method for Constant Frequency Current-Fed Wireless Power Transfer Systems
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Energies 2017, 10(5), 590; doi:10.3390/en10050590

Probabilistic Power Flow Method Considering Continuous and Discrete Variables

School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
*
Author to whom correspondence should be addressed.
Academic Editor: William Holderbaum
Received: 26 March 2017 / Revised: 12 April 2017 / Accepted: 19 April 2017 / Published: 26 April 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [3184 KB, uploaded 26 April 2017]   |  

Abstract

This paper proposes a probabilistic power flow (PPF) method considering continuous and discrete variables (continuous and discrete power flow, CDPF) for power systems. The proposed method—based on the cumulant method (CM) and multiple deterministic power flow (MDPF) calculations—can deal with continuous variables such as wind power generation (WPG) and loads, and discrete variables such as fuel cell generation (FCG). In this paper, continuous variables follow a normal distribution (loads) or a non-normal distribution (WPG), and discrete variables follow a binomial distribution (FCG). Through testing on IEEE 14-bus and IEEE 118-bus power systems, the proposed method (CDPF) has better accuracy compared with the CM, and higher efficiency compared with the Monte Carlo simulation method (MCSM). View Full-Text
Keywords: probabilistic power flow (PPF); discrete variable; cumulant method (CM); deterministic power flow (DPF) calculation probabilistic power flow (PPF); discrete variable; cumulant method (CM); deterministic power flow (DPF) calculation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, X.; Guo, Z.; Chen, W. Probabilistic Power Flow Method Considering Continuous and Discrete Variables. Energies 2017, 10, 590.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top