Next Article in Journal
Multi-Agent-Based Data-Driven Distributed Adaptive Cooperative Control in Urban Traffic Signal Timing
Previous Article in Journal
3D Imaging of Geothermal Faults from a Vertical DAS Fiber at Brady Hot Spring, NV USA
Previous Article in Special Issue
Optimal Placement of UHF Sensors for Accurate Localization of Partial Discharge Source in GIS
Article Menu
Issue 7 (April-1) cover image

Export Article

Open AccessArticle
Energies 2019, 12(7), 1399; https://doi.org/10.3390/en12071399

Implementation of User Cuts and Linear Sensitivity Factors to Improve the Computational Performance of the Security-Constrained Unit Commitment Problem

Research Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia, Calle 67 No. 53-108, Medellín 050010, Colombia
*
Author to whom correspondence should be addressed.
Received: 20 March 2019 / Revised: 3 April 2019 / Accepted: 3 April 2019 / Published: 11 April 2019
(This article belongs to the Special Issue Optimization Methods Applied to Power Systems Ⅱ)
  |  
PDF [682 KB, uploaded 11 April 2019]
  |  

Abstract

Power system operators must schedule the available generation resources required to achieve an economical, reliable, and secure energy production in power systems. This is usually achieved by solving a security-constrained unit commitment (SCUC) problem. Through a SCUC the System Operator determines which generation units must be on and off-line over a time horizon of typically 24 h. The SCUC is a challenging problem that features high computational cost due to the amount and nature of the variables involved. This paper presents an alternative formulation to the SCUC problem aimed at reducing its computational cost using sensitivity factors and user cuts. Power Transfer Distribution Factors (PTDF) and Line Outage Distribution Factors (LODF) sensitivity factors allow a fast computation of power flows (in normal operative conditions and under contingencies), while the implementation of user cuts reduces computational burden by considering only biding N-1 security constraints. Several tests were performed with the IEEE RTS-96 power system showing the applicability and effectiveness of the proposed modelling approach. It was found that the use of Linear Sensitivity Factors (LSF) together with user cuts as proposed in this paper, reduces the computation time of the SCUC problem up to 97% when compared with its classical formulation. Furthermore, the proposed modelling allows a straightforward identification of the most critical lines in terms of the overloads they produce in other elements after an outage, and the number of times they are overloaded by a fault. Such information is valuable to system planners when deciding future network expansion projects. View Full-Text
Keywords: optimization; power system; Security-Constraint Unit Commitment; sensitivity factors; user cuts optimization; power system; Security-Constraint Unit Commitment; sensitivity factors; user cuts
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).

Supplementary material

  • Externally hosted supplementary file 1
    Link: https://github.com/IceMerman/SCUC-UserCuts
    Description: Data and model associated with the paper is now available at https://github.com/IceMerman/SCUC-UserCuts in order to verify results.
SciFeed

Share & Cite This Article

MDPI and ACS Style

Marín-Cano, C.C.; Sierra-Aguilar, J.E.; López-Lezama, J.M.; Jaramillo-Duque, Á.; Villa-Acevedo, W.M. Implementation of User Cuts and Linear Sensitivity Factors to Improve the Computational Performance of the Security-Constrained Unit Commitment Problem. Energies 2019, 12, 1399.

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