Camacho E.F. Berenguel M., Rubio F.R., Martínez D. Control of Solar Energy Systems

Springer-Verlag London Limited, 2012. XXXIV, 416 p. — ISBN: 978-0-85729-915-4, e-ISBN: 978-0-85729-916-1, DOI 10.1007/978-0-85729-916-1.Control of Solar Energy Systems details the main solar energy systems, problems involved with their control, and how control systems can help in increasing their efficiency. After a brief introduction to the fundamental concepts associated with the use of solar energy in both photovoltaic and thermal plants, specific issues related to control of solar systems are embarked upon. Thermal energy systems are then explored in depth, as well as other solar energy applications such as solar furnaces and solar refrigeration systems. Problems of variable generation profile and of the contribution of many solar plants to the same grid system are considered with the necessary integrated and supervisory control solutions being discussed. The text includes material on:
A comparison of basic and advanced control methods for parabolic troughs from PID to nonlinear model-based control;
solar towers and solar tracking;
heliostat calibration, characterization and offset correction;
solar radiation, estimation, prediction, and computation ; and
integrated and supervisory control of solar plants.
Control of Solar Energy Systems contains worked examples and simulation models in the text but its particular strength is its description of real plant installations and applications. These make the text ideally suited to the needs of practitioners from either the solar energy or control engineering communities. Academics studying the various types of control algorithm described in the book will also find it of value as a reference for details of their application and the fact that only basic prior knowledge of control theory and sampled data analysis is required makes the book suitable as a resource for graduate students.Solar Energy FundamentalsSolarRadiation
SolarConstant
Extraterrestrial Solar Irradiance
Measurement of Solar Irradiance
The Sun’s Position
Geometry of the Sun’s Movement
Technology Classification
Electricity Generation
OtherApplications
EnergyStorageControl Issues in Solar SystemsSun Tracking
The Need for Tracking the Sun
Tracking Systems
Solar Irradiance over a PTC
OpticalandGeometricalLossesinaPTC
ThermalLossesinaPTC
PTCEfficiency
Solar Irradiance Estimation and Forecast
Physics-Based Models
Decomposition Models
Statistical Models
ControloftheEnergyConversionUnits
IntegratedControlPhotovoltaicsPowerPoint Tracking
Solar Tracking
Automatic Tracking Strategy
Normal Tracking Mode
Search Mode
OtherSituations
Experimental ResultsBasic Control of Parabolic TroughsDescription of the Technology and Subsystems
DistributedCollectorField
Storage
ControlSystem
Modeling and Simulation Approaches
Fundamental Models
Distributed Parameter Model
Analysis of the Dynamic Response of the Plant
Simplified Fundamental Models
Data-Driven Models
Object-OrientedModeling
BasicControlAlgorithms
Feedforward Control (FF)
PIDControl
Cascade Control (CC)
New Trends: Direct Steam Generation (DSG)
The PSA DISS Facility
Simulation Models
ControlProblem
Representative Experimental ResultsAdvanced Control of Parabolic TroughsAdaptive Control (AC)
ParameterIdentificationAlgorithm
Adaptive PID Controllers
Gain Scheduling (GS)
Internal Model Control (IMC)
An IMC-Based Repetitive Control of DSCF
Adaptive Frequency-Domain IMC
Time Delay Compensation (TDC)
OptimalControl(LQG)
RobustControl(RC)
QFTControl(QFT)
Non-linear Control (NC)
Feedback Linearization Control of DSCF
Model-Based Predictive Control (MPC)
Generalized Predictive Control (GPC)
Adaptive Generalized Predictive Control
Gain Scheduling Generalized Predictive Control
Robust Adaptive Model Predictive Control with Bounded Uncertainties
Non-linear MPC Techniques (NMPC)
Fuzzy Logic Control (FLC)
Heuristic Fuzzy Logic Controllers
Incremental Fuzzy PI Control (IFPIC)
Fuzzy Logic Controller (FLC)
NeuralNetworkControllers(NNC)
MonitoringandHierarchicalControl
Reference Governor Optimization and Control of a DSCF
HierarchicalControlControl of Central Receiver SystemsDescription of the Technology and Subsystems
Collector Subsystem: The Heliostat Field
Receiver Subsystem
Storage Subsystem
Control Subsystem
Advances in Modeling and Control of Solar CRS
TheHeliostatFieldControlSystem
HeliostatFieldSimulators
Tracking the Sun
Basic Offset Correction TechniquesTheOffsetCorrectionProblem
Offset Adjustment Mechanism
Experimental Results
HeliostatBeamCharacterization
TheBeamCharacterizationSystem
APrototypeHeliostatTestCampaign
AimingStrategiesFunctional Diagram of the System
Heuristic Knowledge-Based Control System
Experimental Results
PowerStageControlObject-OrientedModelingoftheTSASystem
HybridModelingoftheTSASystem
HybridControloftheTSASystem
Steam Generator ControlOther Solar ApplicationsSolar FurnacesThe Solar Furnace at the PSA
Dynamical Models of the System
Simple Feedforward and Feedback Control Schemes
Adaptive Control (AC)
Fuzzy Logic Control (FLC)SolarRefrigerationControllersfortheSolarAirConditioningPlant
Multiple Operating Modes
System Hybrid Model
HybridControlResultsIntegrated Control of Solar SystemsOperational Planning of Solar Plants with Parabolic Trough Collectors
Subsystems Modeling
Non-committed Production
Committed Production
Prediction Models
Simulation ExperimentsAppendix MLD Model Matrix Values