Next Article in Journal
Sustainability Assessment of Higher Education Institutions in Saudi Arabia
Next Article in Special Issue
Adaptive Curtailment Plan with Energy Storage for AC/DC Combined Distribution Systems
Previous Article in Journal
A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method
Previous Article in Special Issue
Utilizing a Novel Approach at the Fuzzy Front-End of New Product Development: A Case Study in a Flexible Fabric Supercapacitor
Article Menu

Export Article

Open AccessArticle
Sustainability 2016, 8(8), 748; doi:10.3390/su8080748

Intelligent Control of a Distributed Energy Generation System Based on Renewable Sources

1
Department of Automatic Control and Electrical Engineering, “Dunarea de Jos” University of Galati, Galati 800008, Romania
2
Department of Telecommunication and Systems Engineering, Universitat Autonoma de Barcelona, Bellaterra, Barcelona 08193, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Andrew Kusiak
Received: 8 June 2016 / Revised: 25 July 2016 / Accepted: 29 July 2016 / Published: 4 August 2016

Abstract

The control of low power systems, which include renewable energy sources, a local network, an electrochemical storage subsystem and a grid connection, is inherently hierarchical. The lower level consists of the wind energy sources (power limitation at rated value in full load regime and energy optimization in partial load regime) and photovoltaic (energy conversion optimization) control systems. The present paper deals with control problem at the higher level and aims at generating the control solution for the energetic transfer between the system components, given that the powers of the renewable energy sources and the power in the local network have random characteristics. For the higher level, the paper proposes a mixed performance criterion, which includes an energy sub-criterion concerning the costs of electricity supplied to local consumers, and a sub-criterion related to the lifetime of the battery. Three variants were defined for the control algorithm implemented by using fuzzy logic techniques, in order to control the energy transfer in the system. Particular attention was given to developing the models used for the simulation of the distributed energy system components and to the whole control system, given that the objective is not the real-time optimization of the criterion, but to establish by numerical simulation in the design stage the “proper” parameters of the control system. This is done by taking into account the multi-criteria performance objective when the power of renewable energy sources and the load have random characteristics. View Full-Text
Keywords: hierarchical control; fuzzy control; storage system; renewable energy hierarchical control; fuzzy control; storage system; renewable energy
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

Vlad, C.; Barbu, M.; Vilanova, R. Intelligent Control of a Distributed Energy Generation System Based on Renewable Sources. Sustainability 2016, 8, 748.

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]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top