As the energy landscape transitions towards more ecological and sustainable practices, the utility industry is witnessing a pivotal transformation from centralized production systems to distributed generation. This shift is supported by advancements in digital technology and the integration of diverse energy vectors, necessitating new paradigms for energy management and control. The redefined role of consumers as active participants, becoming local producers and proactively modifying consumption patterns, plays a crucial role in this new scenario. Moreover, the substantial incorporation of on-site generation units across the industrial sector signifies a targeted focus given its significant energy consumption and potential for optimization.

This research topic is dedicated to fostering innovation in the optimal management and control of multi-energy systems, aiming to consolidate the latest advancements in the area. The focus is primarily on developing novel control architectures and methodologies that cater to the complexities of integrated energy management, emphasizing the coordination of various energy carriers including electricity, heat, and gas. Given the sophistication of smart grids and the emerging needs for integrating alternative energy carriers, there is a compelling necessity for a unified approach that manages the inherent dynamics and diverse optimization objectives of these systems efficiently.

In pursuit of further insights within this developed framework, the scope of the research includes but is not restricted to:

Distributed and on-site multi-energy generation system modeling and simulation
Load prediction and integrated demand-side management
Optimal energy dispatch and unit commitment
Economic and environmental criteria for optimal control
Predictive and robust control strategies for on-site generation
Optimization-based hierarchical control solutions
Energy-aware production scheduling and control for industrial plants
Large-scale optimization for high-level management strategies
Contributions that feature novel methodologies, control architectures, and practical application cases demonstrating real-world potential are highly encouraged. This exploration aims at enhancing the operational efficiency and system flexibility through comprehensive and innovative approaches to multi-dimensional energy management.

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Frontiers in Control Engineering

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