Open AccessRandom fuzzy power flow of distribution network with uncertain wind turbine, PV generation, and load based on random fuzzy theory
Author(s) -
Wu Huayi,
Dong Ping,
Liu Mingbo
Publication year - 2018
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2017.0696
Subject(s) - randomness , fuzzy logic , wind power , computer science , mathematical optimization , fuzzy set , photovoltaic system , turbine , renewable energy , control theory (sociology) , mathematics , engineering , artificial intelligence , statistics , control (management) , electrical engineering , mechanical engineering
No study in the literature considers both randomness and fuzziness simultaneously, which actually coexist as the penetration of renewable energy in power system increases. In order to handle these two kinds of uncertain features simultaneously, a novel random fuzzy power flow (RFPF) calculation method for a distribution network based on random fuzzy theory is presented here. Firstly, the random fuzzy models of wind and photovoltaic (PV) generation, and loads are set up for the first time according to their features of randomness and fuzziness. Then, a two‐fold random fuzzy simulation is conducted to obtain the results of the RFPF calculations; the random simulation stage is based on the 2 m + 1 scheme of the point estimate method. Finally, the proposed method is applied to two test systems. The results show that the proposed method is feasible and effective in identifying important areas in the power system affected by distribution generation and loads with these two uncertainties.