Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage-Part I: Stochastic Programming Model

The first part of this two-paper series describes the incorporation of demand response (DR) and energy storage systems (ESSs) in the joint distribution and generation expansion planning for isolated systems. The role of DR and ESS has recently attracted an increasing interest in power systems. Howev...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on smart grid Jg. 9; H. 2; S. 655 - 666
Hauptverfasser: Asensio, Miguel, Meneses de Quevedo, Pilar, Munoz-Delgado, Gregorio, Contreras, Javier
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2018
Schlagworte:
Adaptation models
distribution network expansion planning
distribution systems
ESS
Generators
Indexes
Investment
Planning
renewable energy sources (RES) expansion planning
Substations
ISSN:1949-3053, 1949-3061
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The first part of this two-paper series describes the incorporation of demand response (DR) and energy storage systems (ESSs) in the joint distribution and generation expansion planning for isolated systems. The role of DR and ESS has recently attracted an increasing interest in power systems. However, previous models have not been completely adapted in order to treat DR and ESS on an equal footing. The model presented includes DR and ESS in the planning of insular distribution systems. Hence, this paper presents a novel model to decide the joint expansion planning of distributed generation and the distribution network considering the impact of ESS and price-dependent DR programs. The problem is formulated as a stochastic-programming-based model driven by the maximization of the net social benefit. The associated deterministic equivalent is formulated as a mixed-integer linear program suitable for commercially available software. The outcomes of the model are the location and size of new generation and storage units and the distribution assets to be installed, reinforced or replaced. In the second companion paper, an insular case study (La Graciosa, Canary Islands, Spain) is provided illustrating the effects of DR and ESS on social welfare.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2016.2560339