Collective information-based particle swarm optimization for multi-fuel CHP economic dispatch problem

作者：

Highlights：

• Collective information-based particle swarm optimization (CIBPSO) algorithm is proposed.

• CI-based particle search and CI-based elite fine-tuning strategies are designed.

• CIBPSO is applied to solve four multi-fuel combined heat and power economic dispatch problems.

• Simulation results demonstrate the effectiveness of the proposed CIBPSO algorithm.

摘要

•Collective information-based particle swarm optimization (CIBPSO) algorithm is proposed.•CI-based particle search and CI-based elite fine-tuning strategies are designed.•CIBPSO is applied to solve four multi-fuel combined heat and power economic dispatch problems.•Simulation results demonstrate the effectiveness of the proposed CIBPSO algorithm.

论文关键词：Particle swarm optimization,Collective intelligence technology,Combined heat and power economic dispatch,Multi-fuel options

论文评审过程：Received 12 January 2022, Revised 22 April 2022, Accepted 22 April 2022, Available online 30 April 2022, Version of Record 12 May 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108902