Integrated market scheduling with flexibility options
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384073" target="_blank" >RIV/68407700:21230/25:00384073 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.rser.2024.115020" target="_blank" >https://doi.org/10.1016/j.rser.2024.115020</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rser.2024.115020" target="_blank" >10.1016/j.rser.2024.115020</a>
Alternative languages
Result language
angličtina
Original language name
Integrated market scheduling with flexibility options
Original language description
This work presents a generic optimization framework using advanced mixed-integer programming techniques to integrate day-ahead and balancing markets with distributed energy resources such as storage, electric vehicles, demand response, and Transmission and Distribution System Operators' coordination schemes. The day-ahead model determines optimal initial energy scheduling, while the balancing model optimizes energy and reserve products for three market designs with varying Transmission and Distribution System Operators' coordination. The framework is applied to the interconnected Greek-Bulgarian-Romanian power system, considering 2030 installed capacities. The model outputs illustrate market coupling scenarios among Romania, Bulgaria, and Greece, highlighting clear price signals and distributed energy resources flexibility. Results reveal the significance of a diverse energy mix for energy security and show that Transmission and Distribution System Operators' coordination significantly influences ancillary service prices, with reductions of up to 80 % in certain scenarios. Net demand values determine electricity flow direction. Flexibility providers like storage can cover up to 100 % of the upward congestion management requirements and 11 % of upward balancing energy, helping smooth energy allocation from intermittent renewables. The impact of electric vehicle penetration on generation scheduling is minimal. The proposed model offers valuable insights for system operators, market participants, and policymakers, enabling them to provide accurate price signals and optimize resource allocation. The integrated day-ahead and balancing market models support efficient renewable energy integration, emissions reduction, enhanced grid stability, and investment in low-carbon technologies. This aligns with the United Nations Framework Convention on Climate Change goals, contributing to the development of sustainable and resilient energy systems.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Renewable and Sustainable Energy Reviews
ISSN
1364-0321
e-ISSN
1879-0690
Volume of the periodical
208
Issue of the periodical within the volume
February
Country of publishing house
GB - UNITED KINGDOM
Number of pages
22
Pages from-to
1-22
UT code for WoS article
001344407400001
EID of the result in the Scopus database
2-s2.0-85207033343