Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem

作者：

Highlights：

• BLPSO algorithm is applied for solving CHPED problem with various constraints.

• The interdependence of heat and power outputs of cogeneration units impose great complication.

• Non-convex CHPED problems with/without prohibited operating zones are considered.

• Comprehensive simulation results demonstrate the effectiveness of the BLPSO algorithm.

摘要

•BLPSO algorithm is applied for solving CHPED problem with various constraints.•The interdependence of heat and power outputs of cogeneration units impose great complication.•Non-convex CHPED problems with/without prohibited operating zones are considered.•Comprehensive simulation results demonstrate the effectiveness of the BLPSO algorithm.

论文关键词：Combined heat and power system,economic dispatch,Biogeography-based learning particle swarm optimization,Constraint repair technique

论文评审过程：Received 17 April 2020, Revised 20 June 2020, Accepted 3 September 2020, Available online 16 September 2020, Version of Record 24 September 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106463