Open AccessResearch on the self‐discipline control strategy of dispersed wind power
Author(s) -
Wang Jing,
Duan Jiandong,
Chen Lupeng,
Sun Qian
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8470
Subject(s) - wind power , control theory (sociology) , computer science , ac power , voltage , grid , particle swarm optimization , control (management) , power (physics) , control engineering , engineering , electrical engineering , mathematics , physics , geometry , quantum mechanics , artificial intelligence , machine learning
The voltage violation phenomenon can be very prominent in the condition of dispersed wind power (DWP) widely integrated into network, which affects the safe operation during integration and effective consumption of wind power. In this study, a self‐discipline control strategy of DWP is proposed to solve the voltage violation problem with high penetration. First, the influence of system voltage after the DWP integrated into network is analysed, which raises the feasibility of self‐discipline control strategy. Then, according to the proposed strategy, the object of optimisation model is designed to better the voltage quality of the grid connection point of wind power generator and to maximise the active power outputs of wind power. Considering the non‐linear and multivariable characteristics of the optimisation model, this study used the particle swarm optimisation to obtain the reactive power and active power regulations of wind power. Finally, the proposed algorithm is tested and analysed on the IEEE 33‐node distribution system, and verified by a practical project. The results show that the self‐discipline control strategy can effectively eliminate the voltage violation caused by the DWP integration. Moreover, the wind power can be fully utilised.