Intelligent Automatic Generation Control

This book thoroughly explains the basic principles of power system AGC systems. It presents frequency response models, intelligent structures, and mathematical algorithms, which are used to adapt artificial intelligent control techniques for AGC issues. The author considers physical constraints and engineering aspects of AGC systems and examines most developed intelligent control strategies, using real-time simulations. With an emphasis on practical methods for computer analysis and design, the text develops appropriate concepts relative to the intelligent AGC problem in real-world power systems, rather than describing sophisticated mathematical analytical methods. Content: Intelligent Power System Operation and Control: Japan Case StudyApplication of Intelligent Methods to Power SystemsApplication to Power System PlanningApplication to Power System Control and RestorationFuture ImplementationsAutomatic Generation Control (AGC): Fundamentals and ConceptsAGC in a Modern Power SystemPower System Frequency ControlFrequency Response Model and AGC CharacteristicsA Three-Control Area Power System ExampleIntelligent AGC: Past Achievements and New PerspectivesFuzzy Logic AGCNeuro-Fuzzy and Neural-Networks-Based AGCGenetic-Algorithm-Based AGCMultiagent-Based AGCCombined and Other Intelligent Techniques in AGCAGC in a Deregulated EnvironmentAGC and Renewable Energy OptionsAGC and MicrogridsScope for Future WorkAGC in Restructured Power SystemsControl Area in New EnvironmentAGC Configurations and FrameworksAGC MarketsAGC Response and an Updated ModelNeural-Network-Based AGC DesignAn OverviewANN-Based Control SystemsFlexible Neural NetworkBilateral AGC Scheme and ModelingFNN-Based AGC SystemApplication ExamplesAGC Systems Concerning Renewable Energy SourcesAn Updated AGC Frequency Response ModelFrequency Response AnalysisSimulation StudyEmergency Frequency Control and RESsKey Issues and New PerspectivesAGC Design Using Multiagent SystemsMultiagent System (MAS): An IntroductionMultiagent Reinforcement-Learning-Based AGCUsing GA to Determine Actions and StatesAn Agent for ss EstimationBayesian-Network-Based AGC ApproachBayesian Networks: An OverviewAGC with Wind FarmsProposed Intelligent Control SchemeImplementation MethodologyApplication ResultsFuzzy Logic and AGC SystemsStudy SystemsPolar-Information-Based Fuzzy Logic AGCPSO-Based Fuzzy Logic AGCFrequency Regulation Using Energy Capacitor SystemFundamentals of the Proposed Control SchemeStudy SystemSimulation ResultsEvaluation of Frequency Regulation PerformanceApplication of Genetic Algorithm in AGC SynthesisGenetic Algorithm: An OverviewOptimal Tuning of Conventional ControllersMultiobjective GAGA for Tracking Robust Performance IndexGA in Learning ProcessFrequency Regulation in Isolated Systems with Dispersed Power SourcesConfiguration of Multiagent-Based AGC SystemConfiguration of Laboratory SystemExperimental Results Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several factors: the changing structure and increasing size, complexity, and functionality of power systems, the rapid emergence (and uncertainty) of renewable energy sources, developments in power generation/consumption technologies, and environmental constraints.Delving into the fundamentals of power system AGC, Intelligent Automatic Generation Control explores ways to make the infrastructures of tomorrow smarter and more flexible. These frameworks must be able to handle complex multi-objective regulation optimization problems, and they must be highly diversified in terms of policies, control strategies, and wide distribution in demand and supply sources—all via an intelligent scheme. The core of such intelligent systems should be based on efficient, adaptable algorithms, advanced information technology, and fast communication devices to ensure that the AGC systems can maintain generation-load balance following serious disturbances.This book addresses several new schemes using intelligent control techniques for simultaneous minimization of system frequency deviation and tie-line power changes, which is required for successful operation of interconnected power systems. It also concentrates on physical and engineering aspects and examines several developed control strategies using real-time simulations. This reference will prove useful for engineers and operators in power system planning and operation, as well as academic researchers and students in field of electrical engineering. Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several the changing structure and increasing size, complexity, and functionality of power systems, the rapid emergence (and uncertainty) of renewable energy sources, developments in power generation/consumption technologies, and environmental constraints. Delving into the fundamentals of power system AGC, Intelligent Automatic Generation Control explores ways to make the infrastructures of tomorrow smarter and more flexible. These frameworks must be able to handle complex multi-objective regulation optimization problems, and they must be highly diversified in terms of policies, control strategies, and wide distribution in demand and supply sourcesall via an intelligent scheme. The core of such intelligent systems should be based on efficient, adaptable algorithms, advanced information technology, and fast communication devices to ensure that the AGC systems can maintain generation-load balance following serious disturbances. This book addresses several new schemes using intelligent control techniques for simultaneous minimization of system frequency deviation and tie-line power changes, which is required for successful operation of interconnected power systems. It also concentrates on physical and engineering aspects and examines several developed control strategies using real-time simulations. This reference will prove useful for engineers and operators in power system planning and operation, as well as academic researchers and students in field of electrical engineering. Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several factors: the changing structure and increasing size, complexity, and functionality of power systems, the rapid emergence (and uncertainty) of renewable energy sources, developments in power generation/consumption technologies, and environmental constraints. Delving into the fundamentals of power system AGC, Intelligent Automatic Generation Control explores ways to make the infrastructures of tomorrow smarter and more flexible. These frameworks must be able to handle complex multi-objective regulation optimization problems, and they must be highly diversified in terms of policies, control strategies, and wide distribution in demand and supply sources--all via an intelligent scheme. The core of such intelligent systems should be based on efficient, adaptable algorithms, advanced information technology, and fast communication devices to ensure that the AGC systems can maintain generation-load balance following serious disturbances. This book addresses several new schemes using intelligent control techniques for simultaneous minimization of system frequency deviation and tie-line power changes, which is required for successful operation of interconnected power systems. It also concentrates on physical and engineering aspects and examines several developed control strategies using real-time simulations