Virtual power plant models and market participation: A deep dive into optimization and real-world applications

• Evaluating VPP Models for Operational Profitability and Reliability Across Markets. • Comprehensive Analysis and Comparison of Mathematical Formulations and Solution Methods in VPP Models. • Challenges in Integrating Distributed Energy Resources into Energy Markets. • Categorizing and Analyzing VPP Interactions with Energy Markets. • Real-World Applications of VPP Models. In recent years, the integration of distributed generation into power networks has led to the development of advanced operational strategies that aim to optimize energy distribution and consumption. Consequently, enhancing the management of decentralized electricity generation through different Virtual Power Plant (VPP) configurations has gained significant attention. Equally important is leveraging their capability to participate in energy markets efficiently, ensuring economic viability and maximizing financial returns. This study focuses on systematically reviewing and classifying recent research on VPP models, particularly in terms of their market interactions and interactions with other entities. The classification framework considers key aspects, including model formulation, computational methodologies for addressing mathematical complexities, market participation strategies, and the practical feasibility of these models. The results indicate that modern VPP frameworks are becoming increasingly sophisticated, integrating broader market engagement and enhancing their adaptability to diverse energy policies. By analyzing these developments, this research aims to identify the most effective VPP structures under varying regulatory conditions, while also addressing the existing gaps and challenges that require further exploration.

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Publication Details

Journal
Results in Engineering
Published
2025-05-29
DOI
https://doi.org/10.1016/j.rineng.2025.105548
Citations
10
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
7.30
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article

Virtual power plant models and market participation: A deep dive into optimization and real-world applications

Alireza Zare, Mohammad Agha Shafiyi
10 citations
Results in Engineering
Smart Grid Energy Management
7.30
article

Virtual power plant models and market participation: A deep dive into optimization and real-world applications

Alireza Zare, Mohammad Agha Shafiyi
article en
10 citations

Abstract

• Evaluating VPP Models for Operational Profitability and Reliability Across Markets. • Comprehensive Analysis and Comparison of Mathematical Formulations and Solution Methods in VPP Models. • Challenges in Integrating Distributed Energy Resources into Energy Markets. • Categorizing and Analyzing VPP Interactions with Energy Markets. • Real-World Applications of VPP Models. In recent years, the integration of distributed generation into power networks has led to the development of advanced operational strategies that aim to optimize energy distribution and consumption. Consequently, enhancing the management of decentralized electricity generation through different Virtual Power Plant (VPP) configurations has gained significant attention. Equally important is leveraging their capability to participate in energy markets efficiently, ensuring economic viability and maximizing financial returns. This study focuses on systematically reviewing and classifying recent research on VPP models, particularly in terms of their market interactions and interactions with other entities. The classification framework considers key aspects, including model formulation, computational methodologies for addressing mathematical complexities, market participation strategies, and the practical feasibility of these models. The results indicate that modern VPP frameworks are becoming increasingly sophisticated, integrating broader market engagement and enhancing their adaptability to diverse energy policies. By analyzing these developments, this research aims to identify the most effective VPP structures under varying regulatory conditions, while also addressing the existing gaps and challenges that require further exploration.

Results in EngineeringVol. 26
Shahid Beheshti University (IR)
Openalex Percentile: Top 3%
Smart Grid Energy Management
7.30
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Virtual power plant models and market participation: A deep dive into optimization and real-world applications — Alireza Zare, Mohammad Agha Shafiyi · Results in Engineering (2025) | TGRS Research Map | TGRS