Open AccessLoad Frequency Control of HVDC Link Interconnected Power System Using Genetic Algorithm
Author(s) -
Saurabh Chanana,
Saurabh Kumar
Publication year - 2019
Publication title -
mendel ... (brno. on-line)/mendel ...
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 13
eISSN - 1803-3822
pISSN - 1803-3814
DOI - 10.13164/mendel.2019.1.131
Subject(s) - automatic frequency control , electric power system , automatic generation control , electronic engineering , frequency deviation , computer science , power control , settling time , high voltage direct current , generator (circuit theory) , transmission system , transmission line , ac power , control theory (sociology) , power (physics) , engineering , transmission (telecommunications) , electrical engineering , voltage , control (management) , control engineering , direct current , step response , physics , quantum mechanics , artificial intelligence
Advances in power electronics have improved grid support functions such as tie-line power control and frequency control, making renewable generation and High Voltage DC (HVDC) links more common in power system applications. Load Frequency Control (LFC) systems handle the complex interactions between the distributed generator and the control area with the HVDC link. In this work, LFC of a two-zone system including parallel AC/DC transmission links has been analysed. The parameters of this system are optimised using advanced genetic algorithm resulting in improved performance of system in terms of reduction in peak overshoots and settling time of frequency measurement, tie line power flow and area control error signals in an interconnected power system. The advantage of having parallel HVDC links is also demonstrated when performance is compared to system interconnected with only AC tie line.