Call for Tracks



Track 7: Comprehensive Energy Intelligent Optimization Scheduling and Market Mechanism Construction Based on Typical User-Side Scenarios

Chair: Hui Chen, Shanghai University of Electric Power
Co-Chiar: Chunyang Gong, Shanghai University of Electric Power

As an important approach to achieving the "dual carbon" goals, comprehensive energy systems offer the advantages of multi-energy complementarity and hierarchical energy utilization, effectively enhancing system energy efficiency. Conducting research on intelligent optimization scheduling and market mechanism construction for comprehensive energy systems, based on typical user-side scenarios such as industrial parks, integrated photovoltaic-storage-charging stations, and data centers, has become a current hotspot, yet it faces numerous challenges. On one hand, comprehensive energy systems involve multiple devices and decision-makers on both the supply and demand sides, with complex multi-energy flow couplings and interactive decision-making behaviors, which increase the difficulty of modeling and optimization. On the other hand, these systems are dispersedly integrated into the distribution network, and under the premise of limited capacity for new energy grid integration, there is an urgent need to establish a mature and comprehensive trading and operation mechanism for them as local consumption units. To address these issues, this research incorporates multi-dimensional uncertainty modeling of comprehensive energy systems, employs heuristic algorithms and artificial intelligence algorithms for optimization scheduling, and considers the interaction of interests among different stakeholders to establish a market mechanism in the form of "over-the-wall" electricity sales. This provides a feasible solution to the above problems. This thematic session aims to collect the latest research achievements in this field, providing a platform for researchers, practitioners, and industry experts to share and exchange ideas, thereby further promoting the progress of related research on comprehensive energy systems.

Mechanism Analysis of Multi-Energy Coupling Modeling in Comprehensive Energy Systems
Optimization Scheduling of Comprehensive Energy Systems Considering Source-Load Uncertainty
Application of Artificial Intelligence Algorithms in the Operation of Comprehensive Energy Systems
Planning and Evaluation of Comprehensive Energy Systems Considering Carbon Trading Mechanisms
Economic Analysis of Comprehensive Energy System Operation in Typical Scenarios
Research on Trading Models and Market Mechanisms for Comprehensive Energy Systems
Participation of Comprehensive Energy Systems in Demand Response: Virtual Power Plant Form