Open AccessResearch on voltage reactive power optimization considering fuzzy load characteristics
Author(s) -
Chengjun Huo,
Weiru Wang,
Mengzan Li,
Xinyuan Liu
Publication year - 2021
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 - 10.1088/1742-6596/2005/1/012133
Subject(s) - fuzzy logic , ac power , control theory (sociology) , computer science , voltage , matlab , convergence (economics) , voltage drop , node (physics) , sensitivity (control systems) , mathematical optimization , heuristic , power (physics) , genetic algorithm , limit (mathematics) , electric power system , mathematics , engineering , control (management) , electronic engineering , artificial intelligence , physics , quantum mechanics , electrical engineering , mathematical analysis , structural engineering , economic growth , economics , operating system
For the distributed load output is uncertain, which leads to the over-limit of voltage and line power, this paper proposes a load representation method based on fuzzy set theory, and establishes a voltage reactive power optimization model based on fuzzy number. The influence of different control equipment on node voltage and reactive power is analyzed. Combined with the sensitivity analysis method, the selection rules of control equipment with heuristic method are developed. A method of Genetic calculation based on fuzzy power flow calculation is presented. Finally, this method is applied to build a 30-node model in Matlab for simulation calculation. The results of the example show that the proposed model and method can accelerate the convergence speed, reduce the solution space and reduce the network loss.