Open AccessOptimal economic dispatch of microgrid based on chaos map adaptive annealing particle swarm optimization algorithm
Author(s) -
Xufan Dai,
Lu Kui,
Dan Song,
Zhiwei Zhu,
Yongle Zhang
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 - 10.1088/1742-6596/1871/1/012004
Subject(s) - microgrid , particle swarm optimization , simulated annealing , mathematical optimization , multi swarm optimization , computer science , economic dispatch , convergence (economics) , fitness function , population , adaptive simulated annealing , algorithm , mathematics , electric power system , genetic algorithm , power (physics) , artificial intelligence , physics , demography , control (management) , quantum mechanics , sociology , economics , economic growth
This paper adds chaos optimization based on adaptive annealing particle swarm optimization algorithm, which improves the global convergence ability and makes up for the shortcomings of traditional PSO algorithm, which is easy to fall into local optimization in addition, this paper adds simulated annealing operator, improving the diversity of better population. In addition, the micro source of microgrid is modeled, and the constraints of the model are set. The fitness of the optimized algorithm is compared with the traditional algorithm, and the objective function involved in microgrid dispatching is taken as the application layer. Finally, through data analysis, the effectiveness of the optimization algorithm for microgrid optimal economic dispatching is confirmed.