一种基于粒子群算法的热电厂多炉多机联合运行优化系统
By optimizing the joint operation mode of multi-unit coal-fired thermal power plants using particle swarm optimization, the problems of equipment performance differences and load fluctuations have been solved, thereby improving safety and economy and supporting emergency dispatch and load allocation optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TAIZHOU JINTAI ENVIRONMENTAL PROTECTION THERMOELECTRICITY CO
- Filing Date
- 2022-03-29
- Publication Date
- 2026-07-17
AI Technical Summary
In multi-unit coal-fired thermal power plants, due to differences in equipment performance and fluctuations in heating and power generation loads, existing technologies struggle to optimize the joint operation of multiple units, resulting in poor thermal efficiency and economic benefits.
The particle swarm optimization algorithm is adopted to optimize the joint operation mode of multiple units by establishing analytical equations and characteristic models of the thermodynamic cycle system, and combining them with the particle swarm boundary optimization algorithm to select the optimal equipment combination and load allocation strategy.
It improves the safety and economy of multi-unit joint operation, reduces operational risks, supports emergency heat source dispatch and load allocation optimization, and enhances steam supply quality and economy.
Smart Images
Figure CN116906142B_ABST