
Load Allocation of Biomass Cogeneration Units Based on Multi-objective Optimization Algorithm
Author(s) -
Ying Xiao,
Yufang Wang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2254/1/012007
Subject(s) - cogeneration , biomass (ecology) , fuel efficiency , computer science , energy consumption , mathematical optimization , unit load , electricity generation , process engineering , power (physics) , automotive engineering , engineering , mechanical engineering , mathematics , electrical engineering , oceanography , physics , quantum mechanics , geology
The optimal allocation of biomass thermoelectric loads is a multi-objective, multi-constrained optimisation mathematical model based on the biomass fuel consumption and environmental performance of the unit. The thermoelectric loads are allocated rationally between operating units to minimise the total biomass fuel consumption overall, subject to the constraints of meeting user requirements and unit operating times. The multi-objective optimisation algorithm was used to investigate the optimal allocation of the material thermoelectric load. The calculation results show that the method is simple and convenient and can reasonably allocate the heating load and power generation load of each unit, effectively reducing the overall biomass energy consumption and thus achieving energy saving.