Open AccessOperation optimization of AC/DC hybrid distribution network considering uncertainty
Author(s) -
Haibo Zhao,
Jiawei Wang,
En Hu,
Zhi Zhang,
YanRu Yang,
Sixian Wang
Publication year - 2020
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 - 10.1088/1742-6596/1639/1/012055
Subject(s) - particle swarm optimization , mathematical optimization , photovoltaic system , power flow , wind power , control theory (sociology) , power (physics) , function (biology) , computer science , distributed generation , electronic engineering , mathematics , electric power system , engineering , electrical engineering , physics , control (management) , quantum mechanics , artificial intelligence , evolutionary biology , biology
In order to solve a series of problems such as the increase of AC/DC hybrid distribution network loss caused by the uncertainty of wind and solar output. Based on the uncertainty theory, wind power plants and photovoltaic power generation are modeled, and a power flow calculation method for AC/DC distribution networks is proposed. Considering that when consuming fixed distributed generation, the minimum network loss is the objective function, and a particle swarm optimization-based AC/DC operation optimization method is proposed. Finally, the validity and feasibility of the proposed method are verified by simulation examples.