This paper presents enhanced design for Automation control of processes
involved in a solar system which utilizes programmable logic controller to
automate tracking system for obtaining maximum solar radiation. Three areas
are involved in this proposed multi area system where first and second area
considers solar power plant with thermal system based parabolic trough
collector with fixed solar isolation and random isolation of solar energy
whereas third area comprises of solar thermal system with dish Stirling
realistic unit. Energy efficiency can be increased by using solar
concentrator along with Stirling engine. Optimization of gain of the
controller is by utilizing crow search novel algorithm. Crow search
algorithm is an optimization technique, which provides better performance at
complex time varying noisy condition and time in-varying noisy condition.
The Proposed controller is evaluated by obtaining the optimized parameters
of the system whose comparison is done by operating proposed controller with
& without renewable sources of energy thereby revealing better performance
for both conditions. Testing is done in different areas with fixed solar
isolation and random stisolation of solar energy involved in solar thermal
power plant based on parabolic trough collector. Gain and parameters of the
controller of the solar power plant are optimized by utilizing automation
for operation of solar concentrator with parabolic Trough collector. Data
acquisition and monitoring is done by human machine interface (HMI) in order
to report safe operation. The Simulation results of integrated solar thermal
system involving dish Stirling with parabolic trough collector, shows that
dynamic response of the proposed controller operating with renewable solar
energy is better than that of non-renewable energy source.
Geostatistical merging of ground-based and satellite-derived data of surface solar radiation
