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07.12.2017 | Methodologies and Application

A genetic algorithm approach to the smart grid tariff design problem

verfasst von: Will Rogers, Paula Carroll, James McDermott

Erschienen in: Soft Computing | Ausgabe 4/2019

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Abstract

Smart metering in electricity markets offers an opportunity to explore more diverse tariff structures. In this article residential electricity demand and the System Marginal Price of Ireland’s Single Electricity Market are simulated to estimate the wholesale risk associated with possible tariffs. A genetic algorithm (GA) with a stochastic fitness function is proposed to search for time-of-use tariffs that minimise wholesale risk to the supplier in residential markets. Alternative search algorithms and fitness functions are investigated in detail, as well as trade-offs in GA and simulation parameter settings.

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Titel: A genetic algorithm approach to the smart grid tariff design problem
verfasst von: Will Rogers
Paula Carroll
James McDermott
Publikationsdatum: 07.12.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 4/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-017-2971-2

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