Transactive-based control algorithm for real-time energy imbalance minimisation in microgrids

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Journal Title
Journal ISSN
Volume Title
Conference article
Date
2020-09
Major/Subject
Mcode
Degree programme
Language
en
Pages
4
549-552
Series
CIRED - Open Access Proceedings Journal, Volume 2020, issue 1
Abstract
Modern power systems would compose of networked microgrids (MGs) operating independently. Respectively, MGs’ control units (MCUs) are responsible for optimising the operation of independent agents associated with local resources to maximise the social welfare of the system. In this regard, agents schedule their respective resources with the aim of maximising their profits; while MCU as a mediator entity strives to facilitate the flexibility of service exchange among the agents. In MGs, renewable energy sources (RESs) as potential sources of energy confront with uncertainty originated from their dependence on meteorological resources. Consequently, MGs would confront energy imbalance in real time as a result of probable inaccuracies corresponding with forecasting the power production of RESs in the day-ahead market. To tackle this issue, a transactive-based framework is developed in this study that enables MCUs to incentivise the cooperation of agents scheduling flexible resources in minimising energy imbalances in real time. Correspondingly, MCU offers bonuses as transactive signals to local agents to contribute in minimising the energy imbalance; which consequently results in improving the MG flexibility. Finally, the developed framework is implemented on an MG composed of independent agents scheduling flexible resources to investigate its effectiveness in minimising the energy imbalance in MGs.
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Publisher Copyright: © 2020 Institution of Engineering and Technology. All rights reserved.
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Citation
Fattaheian-Dehkordi , S , Jooshaki , M , Abbaspour , A , Fotuhi-Firuzabad , M & Lehtonen , M 2020 , ' Transactive-based control algorithm for real-time energy imbalance minimisation in microgrids ' , CIRED - Open Access Proceedings Journal , vol. 2020 , no. 1 , pp. 549-552 . https://doi.org/10.1049/oap-cired.2021.0113