Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition

作者: Amirreza Naderipour , Zulkurnain Abdul-Malek , Saber Arabi Nowdeh , Vigna K. Ramachandaramurthy , Akhtar Kalam

DOI: 10.1016/J.ENERGY.2020.117124

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摘要: Abstract This paper presents a method that uses particle swarm optimization to select the optimal allocation of combined heat and power system considers maximum allowable capacity with aim reducing losses, improving voltage profile reliability microgrids considering networks loading condition. Decision variables are location systems. The were specified in way reduce improve profile, improvement as energy not supplied reduction maintain operating constraints. is applied 84- 32-bus standard microgrids. Capability proposed proved obtained results which demonstrated significant enhancement decrease losses customer’s improvement. Minimum microgrid can be achieved these loss, minimum improved 43.9%, 3,4% 80.31% for 84 bus network 72%, 6.2% 83.6% 32 us network, respectively by systems allocation. Also, superiority confirmed comparison genetic algorithm.

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