Open AccessControlled active power generation with multi-terminal HVDC system using modified grey wolf optimization
Author(s) -
Ram Deshmukh,
Chandan Kumar Shiva,
B. Vedik,
R. Arockia Kumar,
K. Vamshidhar
Publication year - 2020
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/981/4/042064
Subject(s) - automatic generation control , control theory (sociology) , voltage droop , controller (irrigation) , electric power system , automatic frequency control , computer science , power (physics) , wind power , control engineering , engineering , control (management) , voltage source , voltage , electrical engineering , telecommunications , agronomy , physics , quantum mechanics , artificial intelligence , biology
This study is focussed on the integration of wind farm connected through high voltagedirect current (HVDC)link in the study of load frequency control (LFC). In the study, the designed test system is an interconnected two-area multi-generating unit power system. In each area of the studied test system, the generating sources are reheating thermal, hydro, gas, nuclear generating units, and the wind farm which is connected through the HVDC system. In the study, important physical constraints which are related to system dynamics like time delay, governor dead band and generation rate constraint are considered for the effective LFC study. The primary contribution of the work is to show the impacts of a wind farms through the multi-terminal HVDC system in LFC task. The concept of inertia control and droop control of the wind farm are used in the paper for primary frequency control. For LFC model design, modified grey wolf optimizer algorithm is taken into consideration for the optimal values of proportional-integral-derivative controller gains.