Open AccessHarmonic control optimisation model considering power generation of microgrid
Author(s) -
Wang Ning,
Wei Kai,
Yuan Jie,
Jia Qingquan
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0594
Subject(s) - microgrid , photovoltaic system , total harmonic distortion , computer science , control theory (sociology) , inverter , particle swarm optimization , mathematical optimization , renewable energy , engineering , control (management) , voltage , mathematics , electrical engineering , artificial intelligence
In a microgrid with a large amount of photovoltaic (PV), the harmonic pollution problem is mostly caused by the non‐linear load in the PV system and the microgrid. The multi‐function grid‐connected inverter (MFGCI) and the active power filter (APF) used to control the harmonic pollution is integrated into the framework of the bi‐layer planning model in this paper. The upper layer model of the bi‐layer optimisation is based on the cost of the microgrid power generation with PV as the objective function. Consider the maintenance costs of PV power generation and MFGCI equipment, line loss costs, purchase expectations and sales period expectations. The lower objective function is the minimum root mean square of the harmonic distortion rate of each node of the microgrid satisfying the MFGCI and APF capacity allocation constraint. The improved particle swarm optimisation algorithm and Latin hypercube technology are used to solve the bi‐layer planning model. The results show that in the microgrid, the integrated optimisation method based on the bi‐layer planning model is optimised for MFGCI and APF. It has a significant effect on the efficient operation of the microgrid and the improvement of power quality level of the microgrid.