Next Article in Journal
Effects of Biochar Amendment on Chloropicrin Adsorption and Degradation in Soil
Previous Article in Journal
Operational Modal Analysis of a Spar-Type Floating Platform Using Frequency Domain Decomposition Method
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Energies 2016, 9(11), 868; doi:10.3390/en9110868

Risk-Limiting Scheduling of Optimal Non-Renewable Power Generation for Systems with Uncertain Power Generation and Load Demand

Department of Electrical Engineering, Chang Gung University, 259 Wen-Hwa 1st Road Kwei-Shan, Tao-Yuan 33302, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Chunhua Liu
Received: 22 July 2016 / Revised: 25 September 2016 / Accepted: 17 October 2016 / Published: 26 October 2016
View Full-Text   |   Download PDF [1298 KB, uploaded 26 October 2016]   |  

Abstract

This study tackles a risk-limiting scheduling problem of non-renewable power generation for large power systems, and addresses potential violations of the security constraints owing to the volatility of renewable power generation and the uncertainty of load demand. To cope with the computational challenge that arises from the probabilistic constraints in the considered problem, a computationally efficient solution algorithm that involves a bisection method, an off-line constructed artificial neural network (ANN) and an on-line point estimation method is proposed and tested on the IEEE 118-bus system. The results of tests and comparisons reveal that the proposed solution algorithm is applicable to large power systems in real time, and the solution obtained herein is much better than the conventional optimal power flow (OPF) solution in obtaining a much higher probability of satisfying the security constraints. View Full-Text
Keywords: renewable power generation; demand response; risk-limiting scheduling; optimal power flow (OPF); security constraints; artificial neural network (ANN); point estimation method renewable power generation; demand response; risk-limiting scheduling; optimal power flow (OPF); security constraints; artificial neural network (ANN); point estimation method
Figures

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

Lin, S.-Y.; Lin, A.-C. Risk-Limiting Scheduling of Optimal Non-Renewable Power Generation for Systems with Uncertain Power Generation and Load Demand. Energies 2016, 9, 868.

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