Next Article in Journal
Combined Turbine and Cycle Optimization for Organic Rankine Cycle Power Systems—Part A: Turbine Model
Next Article in Special Issue
Black Start Strategy for PV-ESS Multi-Microgrids with Three-Phase/Single-Phase Architecture
Previous Article in Journal
Solar Hydrogen Production via a Samarium Oxide-Based Thermochemical Water Splitting Cycle
Previous Article in Special Issue
Decentralized Renewable Hybrid Mini-Grids for Sustainable Electrification of the Off-Grid Coastal Areas of Bangladesh
Article Menu

Export Article

Open AccessArticle
Energies 2016, 9(5), 311; doi:10.3390/en9050311

Optimal Day-Ahead Scheduling of a Smart Distribution Grid Considering Reactive Power Capability of Distributed Generation

1
School of Electrical Engineering, Wuhan University, Wuhan 430072, China
2
School of Automation, Wuhan University of Technology, Wuhan 430070, China
*
Author to whom correspondence should be addressed.
Academic Editor: Josep M. Guerrero
Received: 3 March 2016 / Revised: 8 April 2016 / Accepted: 18 April 2016 / Published: 25 April 2016
(This article belongs to the Special Issue Microgrids 2016)
View Full-Text   |   Download PDF [3483 KB, uploaded 25 April 2016]   |  

Abstract

In the traditional paradigm, large power plants provide active and reactive power required for the transmission system and the distribution network purchases grid power from it. However, with more and more distributed energy resources (DERs) connected at distribution levels, it is necessary to schedule DERs to meet their demand and participate in the electricity markets at the distribution level in the near future. This paper proposes a comprehensive operational scheduling model to be used in the distribution management system (DMS). The model aims to determine optimal decisions on active elements of the network, distributed generations (DGs), and responsive loads (RLs), seeking to minimize the day-ahead composite economic cost of the distribution network. For more detailed simulation, the composite cost includes the aspects of the operation cost, emission cost, and transmission loss cost of the network. Additionally, the DMS effectively utilizes the reactive power support capabilities of wind and solar power integrated in the distribution, which is usually neglected in previous works. The optimization procedure is formulated as a nonlinear combinatorial problem and solved with a modified differential evolution algorithm. A modified 33-bus distribution network is employed to validate the satisfactory performance of the proposed methodology. View Full-Text
Keywords: smart distribution grid; distributed energy resources (DERs); reactive power support; emissions; network loss smart distribution grid; distributed energy resources (DERs); reactive power support; emissions; network loss
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

Yuan, R.; Li, T.; Deng, X.; Ye, J. Optimal Day-Ahead Scheduling of a Smart Distribution Grid Considering Reactive Power Capability of Distributed Generation. Energies 2016, 9, 311.

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