Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

S. Gill; E. Barbour; I. A G Wilson; D. Infield

doi:10.1049/cp.2011.0149

Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

S. Gill^*
, E. Barbour
, I. A G Wilson
, D. Infield

^*Corresponding author for this work

Chemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

The use of renewable generation and energy storage with actively managed curtailment schemes is investigated. A heuristic optimisation algorithm is presented that maximises the revenue available to the operator of a storage system that time-shifts curtailed generation, and trades by buying and selling power on an electricity market. The algorithm is applied to a case study of a distribution network curtailment scheme with a generic storage device. It is found that allowing a storage unit to both trade with the market, and time-shift curtailed generation generates greater revenue that operating in either mode individually. A Last-In-First-Out scheme of small wind farms in a curtailment scheme is modelled to show the effect of including storage. Finally it is noted that the role of renewable subsidies is important for the encouragement of efficient storage technologies.

Original language	English
Title of host publication	IET Conference on Renewable Power Generation, RPG 2011
Number of pages	1
Volume	2011
Edition	579 CP
DOIs	https://doi.org/10.1049/cp.2011.0149
Publication status	Published - 1 Dec 2011
Event	IET Conference on Renewable Power Generation, RPG 2011 - Edinburgh, United Kingdom Duration: 9 May 2011 → 8 Sept 2011

Conference

Conference	IET Conference on Renewable Power Generation, RPG 2011
Country/Territory	United Kingdom
City	Edinburgh
Period	9/05/11 → 8/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Active network management
Energy storage
Generation curtailment
Optimisation
Wind generation

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1049/cp.2011.0149

Cite this

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title = "Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme",

abstract = "The use of renewable generation and energy storage with actively managed curtailment schemes is investigated. A heuristic optimisation algorithm is presented that maximises the revenue available to the operator of a storage system that time-shifts curtailed generation, and trades by buying and selling power on an electricity market. The algorithm is applied to a case study of a distribution network curtailment scheme with a generic storage device. It is found that allowing a storage unit to both trade with the market, and time-shift curtailed generation generates greater revenue that operating in either mode individually. A Last-In-First-Out scheme of small wind farms in a curtailment scheme is modelled to show the effect of including storage. Finally it is noted that the role of renewable subsidies is important for the encouragement of efficient storage technologies.",

keywords = "Active network management, Energy storage, Generation curtailment, Optimisation, Wind generation",

author = "S. Gill and E. Barbour and Wilson, \{I. A G\} and D. Infield",

year = "2011",

month = dec,

day = "1",

doi = "10.1049/cp.2011.0149",

language = "English",

isbn = "9781849195362",

volume = "2011",

booktitle = "IET Conference on Renewable Power Generation, RPG 2011",

edition = "579 CP",

note = "IET Conference on Renewable Power Generation, RPG 2011 ; Conference date: 09-05-2011 Through 08-09-2011",

}

Gill, S, Barbour, E , Wilson, IAG & Infield, D 2011, Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme. in IET Conference on Renewable Power Generation, RPG 2011. 579 CP edn, vol. 2011, IET Conference on Renewable Power Generation, RPG 2011, Edinburgh, United Kingdom, 9/05/11. https://doi.org/10.1049/cp.2011.0149

TY - GEN

T1 - Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

AU - Gill, S.

AU - Barbour, E.

AU - Wilson, I. A G

AU - Infield, D.

PY - 2011/12/1

Y1 - 2011/12/1

N2 - The use of renewable generation and energy storage with actively managed curtailment schemes is investigated. A heuristic optimisation algorithm is presented that maximises the revenue available to the operator of a storage system that time-shifts curtailed generation, and trades by buying and selling power on an electricity market. The algorithm is applied to a case study of a distribution network curtailment scheme with a generic storage device. It is found that allowing a storage unit to both trade with the market, and time-shift curtailed generation generates greater revenue that operating in either mode individually. A Last-In-First-Out scheme of small wind farms in a curtailment scheme is modelled to show the effect of including storage. Finally it is noted that the role of renewable subsidies is important for the encouragement of efficient storage technologies.

AB - The use of renewable generation and energy storage with actively managed curtailment schemes is investigated. A heuristic optimisation algorithm is presented that maximises the revenue available to the operator of a storage system that time-shifts curtailed generation, and trades by buying and selling power on an electricity market. The algorithm is applied to a case study of a distribution network curtailment scheme with a generic storage device. It is found that allowing a storage unit to both trade with the market, and time-shift curtailed generation generates greater revenue that operating in either mode individually. A Last-In-First-Out scheme of small wind farms in a curtailment scheme is modelled to show the effect of including storage. Finally it is noted that the role of renewable subsidies is important for the encouragement of efficient storage technologies.

KW - Active network management

KW - Energy storage

KW - Generation curtailment

KW - Optimisation

KW - Wind generation

UR - https://www.scopus.com/pages/publications/84856297774

U2 - 10.1049/cp.2011.0149

DO - 10.1049/cp.2011.0149

M3 - Conference contribution

AN - SCOPUS:84856297774

SN - 9781849195362

VL - 2011

BT - IET Conference on Renewable Power Generation, RPG 2011

T2 - IET Conference on Renewable Power Generation, RPG 2011

Y2 - 9 May 2011 through 8 September 2011

ER -

Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

Abstract

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this