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JESUS FERRER
Prof.: arturo chacon C.I 24.720.518
ING. Eléctrica
PORLAMAR, FEBRERO 2017
República Bolivariana de Venezuela.
Ministerio del Poder Popular para la Educación.
Instituto Universitario Politécnico
“Santiago Mariño
Effect of generation rate
constraint on load frequency
control of multi area
interconnected thermal
systems
MODELLING OF AGC FOR TWO-AREA
POWER SYSTEM
The system considered in this
study consist two thermal
system control areas connected
by a tie-line and the transfer
function models using MATLAB
simulink without GRC (Nanda et
al., 2006) and with GRC are as
shown in Figures 1 and 2,
respectively.
RESULT AND DISCUSSION
The interconnected power
system with two different
thermal power plants as
described has been considered
for studies. The dynamic
responses have been obtained
with 1% load change in one area
at a time, which also affects the
frequency of other systems.
OVERVIEW OF PARTICLE
SWARM OPTIMIZATION
(PSO)
PSO is a population-based
optimization method first proposed
by Eberhart and Colleagues. Some
of the attractive features of PSO
include the ease of implementation
and the fact that no gradient
information is required. It can be
used to solve a wide array of
different optimization problems

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Mapa conceptual --__-- ingles

  • 1. JESUS FERRER Prof.: arturo chacon C.I 24.720.518 ING. Eléctrica PORLAMAR, FEBRERO 2017 República Bolivariana de Venezuela. Ministerio del Poder Popular para la Educación. Instituto Universitario Politécnico “Santiago Mariño
  • 2. Effect of generation rate constraint on load frequency control of multi area interconnected thermal systems MODELLING OF AGC FOR TWO-AREA POWER SYSTEM The system considered in this study consist two thermal system control areas connected by a tie-line and the transfer function models using MATLAB simulink without GRC (Nanda et al., 2006) and with GRC are as shown in Figures 1 and 2, respectively. RESULT AND DISCUSSION The interconnected power system with two different thermal power plants as described has been considered for studies. The dynamic responses have been obtained with 1% load change in one area at a time, which also affects the frequency of other systems. OVERVIEW OF PARTICLE SWARM OPTIMIZATION (PSO) PSO is a population-based optimization method first proposed by Eberhart and Colleagues. Some of the attractive features of PSO include the ease of implementation and the fact that no gradient information is required. It can be used to solve a wide array of different optimization problems