An affine arithmetic-based methodology for uncertain power flow and optimal power flow analyses

Author(s):  
Vaccaro ◽  
Cañizares
Author(s):  
John Penaloza Moran ◽  
Julio C. Lopez ◽  
Antonio Padilha Feltrin

2014 ◽  
Vol 29 (6) ◽  
pp. 2775-2783 ◽  
Author(s):  
Mehrdad Pirnia ◽  
Claudio A. Canizares ◽  
Kankar Bhattacharya ◽  
Alfredo Vaccaro

2021 ◽  
pp. 0309524X2199277
Author(s):  
Hongfen Zhang ◽  
Youchao Zhang

Aiming at the influence of the uncertainty of power system operating parameters such as wind power fluctuation on AC-DC hybrid system, an interval optimal power flow calculation method based on interval and affine arithmetic is proposed in this paper. First, AC and DC interval power flow model is constructed based on the relationship between interval and affine arithmetic, and the uncertainties such as the new energy generation output of the system are expressed as interval variables; static security performance index (PI) is introduced in AC-DC multi-objective optimal power flow objective functions, which take the system’s power generation cost and network loss into account; the Pareto optimal solution set is distributed uniformly in space by using the particle swarm algorithm to solve the interval optimal power flow model. Finally, MATLAB simulation examples are used to verify that the method can optimize the system’s power generation cost, network loss and static safety index while considering wind power fluctuation.


Author(s):  
Guido Coletta ◽  
Alfredo Vaccaro ◽  
Domenico Villacci ◽  
Duo Fang ◽  
Sasa Z. Djokic

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL

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