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Blockchain-Assisted Generation Rescheduling in Imperfect Market Environments

Authors :
Salman Tariq
Mohamed Shaaban
Hazlie Mokhlis
Nurulafiqah N. Mansor
Hasmaini Mohamad
Source :
IEEE Access, Vol 13, Pp 15324-15338 (2025)
Publication Year :
2025
Publisher :
IEEE, 2025.

Abstract

In the past three decades, there has been a sweeping trend in Western and developed countries worldwide to transform the vertically integrated electricity supply chain into competitive electricity markets to diversify investment in the system and ultimately drive down operation costs. Nonetheless, due to some geopolitical and economic reasons, many developing countries adopted a modestly liberalized version of the power market (imperfect market). With the trend of privatization, specifically at the generation level, to leverage the hypothetical competitiveness, countries that did not adopt a full-fledged market structure face a dilemma. The system operators of incumbent imperfect market models find it increasingly difficult to deal with multiple private ownership of Independent Power Producers who are unwilling to share their detailed operational parameters for long-term generation scheduling (lasting for years). In this paper, Blockchain (BC) is being advocated as a platform that simulates a virtual market environment to address such issues. The proposed BC-based structure allows generators to participate in the short-term scheduling mechanism (such as day-ahead) in a trust-free environment without sharing their vital data yet achieving efficient, market-grade solutions. The feasibility of this new proposition is demonstrated through three different application scenarios, utilizing real-world load and renewable generation profiles sourced from the respective Grid System Operators databases. Python library (PYPSA) and Ethereum Testnet are being used for grid simulation and BC platform implementation respectively. The results of BC-assisted generation scheduling are presented and compared with the imperfect market model to highlight the viability of the proposed new approach.

Details

Language :
English
ISSN :
21693536 and 64846962
Volume :
13
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.2f7807d190d6484696264691c7a1d917
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2025.3530469