Item


Decision support for grid-connected renewable energy generators planning

Recent technological advances and the incremental demand for electrical energy are leading a growth in the prevalence of distributed generation. There are some off-the-shelf tools to support grid planners in locating and sizing a given number of Distributed Generators (DGs), but they approach the problem using a single set of the variables (either location, size or number of DGs). This paper reviews the problem and provides a new pathway for supporting grid planning with an integrated view; hence, a new planning problem is formulated to jointly determine how many new DGs are needed, of which type, their location and size, while attempting to maximise the profit of the generators, minimise the system losses and improve the voltage profile. Accompanying the new grid planning problem, solution approaches based on meta-heuristic methods are provided. A detailed performance analysis of the proposed approaches is carried out on 14- and 57-bus systems to illustrate what could be the outcomes of the new problem. In so doing, particle swarm optimisation-based approaches are able to find the best optimised solutions

Work developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014e2016) and the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R)

© Energy, 2016, vol. 115, part 1, p. 577-590

Elsevier

Manager: Ministerio de Economía y Competitividad (Espanya)
Author: Torrent-Fontbona, Ferran
López Ibáñez, Beatriz
Date: 2016 November 15
Abstract: Recent technological advances and the incremental demand for electrical energy are leading a growth in the prevalence of distributed generation. There are some off-the-shelf tools to support grid planners in locating and sizing a given number of Distributed Generators (DGs), but they approach the problem using a single set of the variables (either location, size or number of DGs). This paper reviews the problem and provides a new pathway for supporting grid planning with an integrated view; hence, a new planning problem is formulated to jointly determine how many new DGs are needed, of which type, their location and size, while attempting to maximise the profit of the generators, minimise the system losses and improve the voltage profile. Accompanying the new grid planning problem, solution approaches based on meta-heuristic methods are provided. A detailed performance analysis of the proposed approaches is carried out on 14- and 57-bus systems to illustrate what could be the outcomes of the new problem. In so doing, particle swarm optimisation-based approaches are able to find the best optimised solutions
Work developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014e2016) and the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R)
Format: application/pdf
Citation: 025668
ISSN: 0360-5442
Document access: http://hdl.handle.net/10256/12888
Language: eng
Publisher: Elsevier
Collection: MINECO/PE 2014-2016/DPI2013-47450-C2-1-R
Versió postprint del document publicat a: http://dx.doi.org/10.1016/j.energy.2016.09.046
Articles publicats (D-EEEiA)
Is part of: © Energy, 2016, vol. 115, part 1, p. 577-590
Rights: Tots els drets reservats
Subject: Energia elèctrica -- Distribució
Electric power distribution
Energia elèctrica -- Producció
Electric power production
Sistemes d’ajuda a la decisió
Decision support systems
Title: Decision support for grid-connected renewable energy generators planning
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

Subjects

Authors