A particle swarm optimization for combined heat and power operation considering heat extraction and network constraint

Distributed combined heat and power(CHP) is considered as a solution to the centralized power system congestion and the carbon emission. However, since small-scale CHPs are not economically viable, advanced operation method is needed. This paper proposes particle swarm optimization with adjacency matrix and heat extraction constraint for optimal CHP operation. We made nonlinear CHP output model from demonstration data. Mesh and Non-mesh hot water network case is simulated by MATLAB 2019a for a day operation. Simulation results are compared to case without heat extraction constraint and showed the effectiveness of the proposed method. Copyright © The Korean Institute of Electrical Engineers This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.