Open AccessOptimal Coordination Voltage Control of Hybrid AC/DC Grids Considering Control of HVDC System
Author(s) -
Chao Yang,
Fang Shi,
Mengmeng Sun,
Liang Wang,
Bing Zhang,
Meng Liu,
Xin Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/486/1/012036
Subject(s) - control theory (sociology) , rectifier (neural networks) , voltage , control system , transmission system , direct current , converters , ac power , high voltage direct current , transmission (telecommunications) , computer science , engineering , control (management) , electrical engineering , stochastic neural network , artificial intelligence , machine learning , recurrent neural network , artificial neural network
With the wide application of UHVDC in long-distance and large-capacity power transmission, the current power grid has developed into a complex AC-DC deep coupling system, which poses a serious challenge to the voltage safety control of the system. Based on the voltage sensitivity of AC/DC system, this paper presents a voltage optimization control method for integrated coordination of AC/DC system control variables. In this control method, a linear constrained quadratic optimization model with minimum control cost is constructed to coordinate the control variables of AC/DC system and correct the voltage amplitude deviation. The potential of UHVDC system to participate in voltage control is studied by optimizing the control quantity of rectifier side and inverter side converters. The simulation results of AC/DC hybrid system show that the proposed optimal control method can effectively coordinate the control quantity of AC/DC system and ensure the voltage operation in a safe range.