Proactive demand-side participation: Centralized versus transactive demand-Supply coordination

Integrating non‐conventional renewable energy sources into distribution systems, alongside data science and enabling technological infrastructures, presents significant challenges, particularly in managing active demand. The rapid evolution of the electric energy system and increasing electricity demand highlight the need for reliable tracking and predictive methods to manage Distributed Energy Resources and digital infrastructure. These methods are essential for advancing carbon neutrality, democratizing environmental sustainability, and improving energy efficiency. Effective active demand monitoring requires understanding the transactional system concept, including digital infrastructure and decentralized demand. Although metaheuristic techniques are increasingly important in demand response integration, much research focuses on specific techniques rather than providing a comprehensive view of dynamic transaction integration for active demand. Technological advancements, like smart meters and communication systems, are shifting from basic consumption measurement to active customer participation. This article reviews key concepts in electrical distribution systems, such as active demand, DERs, and transactive systems. It examines prevalent metaheuristic techniques, emphasizing their role in integrating and predicting active demand and DER behaviors. Additionally, the study presents a methodology serving as a roadmap for efficient DER integration and the transition to active demand and transactive electricity systems, addressing gaps in the current literature.

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Principal-Agent Model for Bilateral Contract Design to Incentivize Residential Demand-Side Flexibility

Ostadijafari,

Manandhar,

Dubey

et al. 2023

IEEE Trans. on Enrgy Mrkts, Pol and Reg

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Proactive demand-side participation: Centralized versus transactive demand-Supply coordination

Cited by 4 publications

References 50 publications

Co-integration theory-based cluster time-varying load optimization control model of regional integrated energy system

Co-integration theory-based cluster time-varying load optimization control model of regional integrated energy system

Integrating active demand into the distribution system using metaheuristic techniques

Principal-Agent Model for Bilateral Contract Design to Incentivize Residential Demand-Side Flexibility

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