Modeling performance of the multiscale fluid numerical solver on large-scale parallel computers

Author(s):  
Xiao-Wei Guo ◽  
Chao Li
2006 ◽  
Vol 55 (12) ◽  
pp. 1572-1587 ◽  
Author(s):  
E. Frachtenberg ◽  
F. Petrini ◽  
J. Fernandez ◽  
S. Pakin

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Bo Wang ◽  
Yanjing Li ◽  
Fei Yang ◽  
Xiaohua Xia

A technoeconomic optimization problem for a domestic grid-connected PV-battery hybrid energy system is investigated. It incorporates the appliance time scheduling with appliance-specific power dispatch. The optimization is aimed at minimizing energy cost, maximizing renewable energy penetration, and increasing user satisfaction over a finite horizon. Nonlinear objective functions and constraints, as well as discrete and continuous decision variables, are involved. To solve the proposed mixed-integer nonlinear programming problem at a large scale, a competitive swarm optimizer-based numerical solver is designed and employed. The effectiveness of the proposed approach is verified by simulation results.


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