Track 7:
Comprehensive Energy Intelligent Optimization Scheduling and
Market Mechanism Construction Based on Typical User-Side
Scenarios
Organizers
Chair: Hui Chen, Shanghai University of Electric Power
Co-Chiar: Chunyang Gong, Shanghai University of Electric
Power
Abstract
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.
Topics:
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