DocumentCode :
3571040
Title :
Optimal Design of Superconducting Magnetic Energy Storage Based Multi-area Hydro-Thermal System Using Biogeography Based Optimization
Author :
Guha, Dipayan ; Roy, Provas Kumar ; Banerjee, Subrata
Author_Institution :
EE Dept., NIT-Durgapur, Durgapur, India
fYear :
2014
Firstpage :
52
Lastpage :
57
Abstract :
This article proposes automatic generation control (AGC) of an interconnected three equal and unequal hydro-thermal system with DB non-linearity. Moreover, the self tuning control scheme of superconducting magnetic energy storage unit (SMES) is performed to investigate the performances of AGC problem. Dynamic responses of SMES connected AGC are compared with that of integral (I) and proportional-integral-derivative (PID) controlled AGC. Frequency deviation signal is used as an input to SMES. Integral square error approach with Biogeography based optimization algorithm is used to find optimum values of controller parameters. 1% step load perturbation in either area is considered for simulation study. Simulation study exhibits significant effect of designed SMES based controller on the dynamic performances of an interconnected power system with sudden load perturbation.
Keywords :
dynamic response; hydrothermal power systems; optimisation; power generation control; power system interconnection; superconducting magnet energy storage; three-term control; DB nonlinearity; Integral square error approach; PID controlled AGC; SMES dynamic response; automatic generation control; biogeography based optimization; frequency deviation signal; proportional-integral- derivative controlled AGC; self tuning control scheme; step load perturbation; superconducting magnetic energy storage based multiarea hydrothermal power system interconnection; Automatic generation control; Frequency control; Optimization; Power system dynamics; Power system stability; Time-frequency analysis; Transient analysis; Area control error; automatic generation control; biogeography based optimization; dead band; integral square error; superconducting magnetic energy storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2014 Fourth International Conference of
Type :
conf
DOI :
10.1109/EAIT.2014.27
Filename :
7052022
Link To Document :
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