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Agent-based modelling of the UK short term electricity market: effects of intermittent wind power

Agent-based modelling of the UK short term electricity market: effects of intermittent wind power
Agent-based modelling of the UK short term electricity market: effects of intermittent wind power
This work focuses on modelling the electricity trading and market mechanism currently in place in the UK, using an agent-based approach and a learning strategy for the agents to update their bidding rules. The ongoing consultations by the Department of Energy and Climate Change on the possible models for a capacity mechanism reflect the unavoidable shift towards low-carbon and more intermittent sources of generation. One of the issues of concern is the way the system operator adapts the balancing mechanism to run in a more efficient and economical way. Here we present an agent-based model comprising two interconnected parts: a representation of the power exchange and a model of the balancing mechanism along with the settlement system. In order to assess the influence of different types of generation on the system balancing prices, we model the generating units based on the size and type of fuel involved. The agent-based model incorporates the operating decisions and control mechanisms of the system operator, and the functions of various trading entities such as generators and suppliers participating within this market. Based on this model, we report investigations into the effect of high penetrations of distributed intermittent generation in influencing the energy balancing prices.
978-1-4673-0832-8
1-8
IEEE
Pakka, V.H.
37b47803-8f2f-45f5-b06e-5bba23c9eb50
Ardestani, B.M.
d6ca9050-e91f-4a5b-90cb-018b8761ce66
Rylatt, M.
5467ad0a-af93-41ea-851e-5b0681cd4b16
Pakka, V.H.
37b47803-8f2f-45f5-b06e-5bba23c9eb50
Ardestani, B.M.
d6ca9050-e91f-4a5b-90cb-018b8761ce66
Rylatt, M.
5467ad0a-af93-41ea-851e-5b0681cd4b16

Pakka, V.H., Ardestani, B.M. and Rylatt, M. (2012) Agent-based modelling of the UK short term electricity market: effects of intermittent wind power. In Proceedings of the 9th International Conference on the European Energy Market (EEM). IEEE. pp. 1-8 . (doi:10.1109/EEM.2012.6254760).

Record type: Conference or Workshop Item (Paper)

Abstract

This work focuses on modelling the electricity trading and market mechanism currently in place in the UK, using an agent-based approach and a learning strategy for the agents to update their bidding rules. The ongoing consultations by the Department of Energy and Climate Change on the possible models for a capacity mechanism reflect the unavoidable shift towards low-carbon and more intermittent sources of generation. One of the issues of concern is the way the system operator adapts the balancing mechanism to run in a more efficient and economical way. Here we present an agent-based model comprising two interconnected parts: a representation of the power exchange and a model of the balancing mechanism along with the settlement system. In order to assess the influence of different types of generation on the system balancing prices, we model the generating units based on the size and type of fuel involved. The agent-based model incorporates the operating decisions and control mechanisms of the system operator, and the functions of various trading entities such as generators and suppliers participating within this market. Based on this model, we report investigations into the effect of high penetrations of distributed intermittent generation in influencing the energy balancing prices.

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More information

Published date: May 2012
Venue - Dates: 2012 9th International Conference on the European Energy Market (EEM), Florence, Italy, 2012-05-10 - 2012-05-12
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 368762
URI: http://eprints.soton.ac.uk/id/eprint/368762
ISBN: 978-1-4673-0832-8
PURE UUID: 3ceae70b-f38d-4123-ac4e-1298c460a41d

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Date deposited: 13 Sep 2014 10:17
Last modified: 14 Mar 2024 17:53

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Contributors

Author: V.H. Pakka
Author: B.M. Ardestani
Author: M. Rylatt

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