Florian Kühnlenz, Pedro H.J. Nardelli, Santtu Karhinen, Rauli Svento, Implementing flexible demand: Real-time price vs. market integration, Energy, Volume 149, 2018, Pages 550-565, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2018.02.024
Implementing flexible demand : real-time price vs. market integration
|Author:||Kühnlenz, Florian1; Nardelli, Pedro H.J.2; Karhinen, Santtu3;|
1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Laboratory of Control Engineering and Digital Systems, School of Energy Systems, Lappeenranta University of Technology, Finland
3Business School at University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019060418397
|Publish Date:|| 2020-04-15
This paper proposes an agent-based model that combines both spot and balancing electricity markets. From this model, we develop a multi-agent simulation to study the integration of the consumers’ flexibility into the system. Our study identifies the conditions that real-time prices may lead to higher electricity costs, which in turn contradicts the usual claim that such a pricing scheme reduces cost.
We show that such undesirable behavior is in fact systemic. Due to the existing structure of the wholesale market, the predicted demand that is used in the formation of the price is never realized since the flexible users will change their demand according to such established price.
As the demand is never correctly predicted, the volume traded through the balancing markets increases, leading to higher overall costs. In this case, the system can sustain, and even benefit from, a small number of flexible users, but this solution can never upscale without increasing the total costs.
To avoid this problem, we implement the so-called “exclusive groups”. Our results illustrate the importance of rethinking the current practices so that flexibility can be successfully integrated considering scenarios with and without intermittent renewable sources.
|Pages:||550 - 565|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
512 Business and management
113 Computer and information sciences
222 Other engineering and technologies
This work is partly funded by Strategic Research Council/AkaBCDC Energia (n.292854) and by the European Commission through the P2P-SmarTest project (n.646469).
© 2018 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.