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Research on energy-saving algorithm of HVAC multi-agent system consensus based on event-triggered mechanism
Weilin Wu1,2, Shaoxiong Shi1,2, Meihuan Lin1,2
1Center for Applied Mathematics of Guangxi, College of Physics and Electronic Information, Guangxi Minzu University, Guangxi, China.
Plos One
|November 21, 2025
Summary
This study introduces an energy-saving algorithm for HVAC systems using an event-triggered mechanism. This approach reduces network load by transmitting data only when necessary, optimizing generator dispatch.
Area of Science:
- Control Engineering
- Distributed Systems
- Energy Systems
Background:
- HVAC systems require efficient energy management.
- Multi-agent systems offer a framework for distributed control.
- Event-triggered mechanisms can reduce communication overhead.
Purpose of the Study:
- To design an energy-saving algorithm for HVAC multi-agent systems.
- To reduce network transmission pressure using an event-triggered mechanism.
- To achieve distributed economic dispatch.
Main Methods:
- Utilized an event-triggered mechanism for HVAC multi-agent systems.
- Employed discrete-time consensus algorithm for distributed economic dispatch.
- Used incremental cost and benefit as consistency variables.
- Applied graph theory to model communication topology.
- Analyzed system stability and convergence using consensus algorithms.
Main Results:
- The algorithm successfully achieved distributed economic dispatch.
- Information transmission was controlled on-demand, reducing network pressure.
- Simulation results showed incremental costs converging to a single value.
- Trigger times were discrete and occurred in unequal cycles.
Conclusions:
- The event-triggered algorithm effectively reduces communication load in HVAC systems.
- On-demand information transmission optimizes energy dispatch.
- The system demonstrates stability and convergence through consensus algorithms.
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