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Comparison of Two Optimal Control Strategies for a Grid Independent Photovoltaic System

Comparison of Two Optimal Control Strategies for a Grid Inde...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Richard L. Welch Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

This paper presents two optimal control strategies for a grid independent photovoltaic system consisting of a PV collector array, a storage battery, and loads (critical and non-critical loads). The first strategy is based on action dependent heuristic dynamic programming (ADHDP), a model-free adaptive critic design (ACD) technique which optimizes the control performance based on a utility function. ADHDP critic network is used in a PV system simulation study to train an action neural network (optimal neurocontroller) to provide optimal control for varying PV system output energy and loadings. The second optimal control strategy is based on a fuzzy logic controller with its membership functions optimized using the particle swarm optimization. The emphasis of the optimal controllers is primarily to supply the critical base load at all times, thus requiring sufficient stored energy during times of less or no solar insulation. Simulation results are presented to compare the performance of the proposed optimal controllers with the conventional priority control scheme. Results show that the ADHDP based controller performs better than the optimized fuzzy controller, and the optimized fuzzy controller performs better than the standard PV-priority controller

关键词： Optimal control Photovoltaic systems Fuzzy control Batteries Dynamic programming Programmable control Adaptive control Design optimization Neural networks Neurocontrollers

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Real-Time Implementation of a Dual Function Neuron based Wide Area SVC Damping Controller

Real-Time Implementation of a Dual Function Neuron based Wid...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Sandhya R. Jetti Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

The use of wide area measurements for power system stabilization is recently given a lot of attention by researchers and the power industry to avoid cascading failures and blackouts such as the August 2003. This paper presents the design of a nonlinear external damping controller based on wide area measurements as inputs to a dual function neuron (DFN). This DFN controller is specifically designed to enhance the damping characteristics of a power system considering the nonlinearity in the system. The major advantage of the DFN controller is that it is simple in structure with less development time and hardware requirements for real-time implementation. The DFN controller is implemented on a digital signal processor and its performance is evaluated on the IEEE 12 bus FACTS benchmark power system implemented on a real time platform - real time digital simulator (RTDS). Experimental results show that the DFN controller provides better damping than a conventional linear controller

关键词： Neurons Static VAr compensators Damping Wide area measurements Power system measurements Power system simulation Real time systems Power industry Power system faults Power system protection

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Who Moved?! An Investigation into Distribution of Actions and Behaviors in a Multi Agent System

Who Moved?! An Investigation into Distribution of Actions an...

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International Conference on Mechatronics (ICM)

作者： Roozbeh Daneshvar Caro Lucas Artificial Intelligence and Robotics Laboratory Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Faculty of Electrical and Computer Engineering School of Intelligent Systems IPM University of Tehran Tehran Iran

In this paper we have considered systems in which agents communicate via their environment. In these systems the agents do not have direct and explicit communication with each other and instead they have implicit communication which is performed via the environment they are located in. Different kinds of environment elements are considered to be changed while on the other hand for all of these situations there is a change in the environment and this change means potential stimuli that fires behaviors of agents for future. It is considered that if we can find a track of changes in the environment and find the roots of a movement in an agent that is originally made by another agent of the group

关键词： Artificial intelligence intelligent robots Fires Tracking Process control Communication system control Control systems intelligent control Optical computing intelligent systems

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Optimal STATCOM Sizing and Placement Using Particle Swarn Optimization

Optimal STATCOM Sizing and Placement Using Particle Swarn Op...

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IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

作者： Y. del Valle J. C. Hernandez G. K. Venayagamoorthy R. G. Harley Department of Electrical and Computer engineering Georgia Institute of Technology Atlanta GA USA Department of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory University of Missouri-Rolla MO USA

Heuristic approaches are traditionally applied to find the size and location of flexible AC transmission systems (FACTS) devices in a small power system. Nevertheless, more sophisticated methods are required for placing them in a large power network. Recently, the particle swarm optimization (PSO) technique has been applied to solve power engineering optimization problems giving better results than classical methods. This paper shows the application of PSO for optimal sizing and allocation of a static compensator (STATCOM) in a power system. A 45 bus system (part of the Brazilian power network) is used as an example to illustrate the technique. Results show that the PSO is able to find the best solution with statistical significance and a high degree of convergence. A detailed description of the method, results and conclusions are also presented

关键词： Automatic voltage control Power systems Particle swarm optimization Flexible AC transmission systems Power system simulation Evolutionary computation Power engineering Power generation STATCOM Optimization methods

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Adaptive critic designs based coupled neurocontrollers for a static compensator

Adaptive critic designs based coupled neurocontrollers for a...

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IEEE International Conference on computer-Aided Design

作者： Salman Mohagheghi Ganesh K. Venayagamoorthy Ronald G. Harley School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power system, using artificial neural networks, is presented in this paper. The heuristic dynamic programming (HDP) method, a member of the adaptive critic designs (ACD) family, is used for the design of the STATCOM neurocontroller. The proposed controller is a nonlinear optimal controller that provides coupled control for the line voltage and the dc link voltage regulation loops of the STATCOM. An action dependent approach is used, in which the controller is independent of a model of the network. Moreover, a proportional-integrator approach allows the neurocontroller to deal with the actual signals rather than the deviations. Simulation results are provided to show that the proposed ACD based neurocontroller is more effective in controlling the STATCOM compared to finely tuned conventional PI controllers.

关键词： Neurocontrollers STATCOM Automatic voltage control Voltage control Optimal control Power system dynamics Power systems Artificial neural networks Dynamic programming Couplings

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intelligent optimal control of excitation and turbine systems in power networks

Intelligent optimal control of excitation and turbine system...

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IEEE General Meeting Power& Energy Society

作者： G.K. Venayagamoorthy R.G. Harley Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri MO USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation and turbine systems. The crucial factors affecting the modern power systems today is voltage control and system stabilization during small and large disturbances. Simulation studies and real-time laboratory experimental studies carried out are described and the results show the successful control of the power system excitation and turbine systems with adaptive and optimal neurocontrol approaches. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances

关键词： intelligent control intelligent networks Optimal control Turbines Power system simulation Power system control Power system modeling Power systems Power grids Voltage control

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Hierarchical Control Scheme for two Static Compensators in the Brazilian 45-Bus Power System

Hierarchical Control Scheme for two Static Compensators in t...

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IEEE PES Power systems Conference and Exposition, PSCE

作者： S. Mohagheghi Y. Del Valle G.K. Venayagamoorthy R.G. Harley Intelligent Power Infrastructure Consortium IPIC School of Electrical and computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

This paper presents a conventional external scheme for controlling two neighboring static compensators (STATCOMs) from a supervisory level. The two STATCOMs are connected to two buses of a load area in a multimachine power system. The power network analyzed in this paper is a 45-bus 10-generator section of the Brazilian power system. Regulating the voltages at the points of connection to the power system is considered to be the primary objective of the local controllers of the two STATCOMs in this study. Based on the deviations of the voltages with respect to their corresponding reference values, the hierarchical control generates the appropriate signals in the form of the auxiliary reference signals for the line voltage control loops in the two devices. Simulation results are provided to show the proposed external controller improves the performance of the power system during small and large scale disturbances

关键词： Control systems STATCOM Power system control Power systems Power system analysis computing Automatic voltage control Voltage control Power system simulation Signal generators Large-scale systems

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Empirical Study of an Unconstrained Modified Particle Swarm Optimization

Empirical Study of an Unconstrained Modified Particle Swarm ...

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Congress on Evolutionary Computation

作者： P.W. Moore G.K. Venayagamoorthy The Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

In this paper, an unconstrained modified particle swarm optimization (UMPSO) algorithm is introduced and studied empirically. Four well known benchmark functions, with asymmetric initial position values, are used as testing functions for the UMPSO algorithm. The UMPSO is a variation of the canonical PSO in which the velocity and position is unconstrained, an additional strategic component is added, and the social component term has been modified. The strategy component is used instead of varying parameters or mutation to enhance diversity in the swarm during the search. The UMPSO algorithm is then compared to results obtained from the constrained canonical PSO (CPSO) and the unconstrained canonical PSO (UPSO). The results show that UMPSO algorithm with no maximum velocity and position, and no minimum velocity and position value that performs better than the CPSO and the UPSO for the Sphere, Rosenbrock, Rastrigrin, and Griewank benchmark functions.

关键词： Particle swarm optimization Birds Marine animals Genetic mutations Benchmark testing Cultural differences Educational institutions Pulse width modulation Equations Genetic algorithms

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Real-Time Implementation of a STATCOM on a Wind Farm Equipped with Doubly Fed Induction Generators

Real-Time Implementation of a STATCOM on a Wind Farm Equippe...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Wei Qiao Ganesh K. Venayagamoorthy Ronald G. Harley School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

Voltage stability is a key issue to achieve the uninterrupted operation of wind farms equipped with doubly fed induction generators (DFIGs) during grid faults. A static synchronous compensator (STATCOM) is applied to a power network which includes a DFIG driven by a wind turbine, for steady state voltage regulation and transient voltage stability support. The control schemes of the DFIG rotor-side converter, grid-side converter and the STATCOM are suitably designed and coordinated. The system is implemented in real-time on a Real-Time Digital Simulator (RTDSreg). Results show that the STATCOM improves the transient voltage stability and therefore helps the wind turbine generator system to remain in service during grid faults

关键词： Automatic voltage control Wind farms Induction generators Stability Wind turbines Real time systems Steady-state Voltage control Rotors Mesh generation

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intelligent Integration of a Wind Farm to an Utility Power Network with Improved Voltage Stability

Intelligent Integration of a Wind Farm to an Utility Power N...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Vamsi K. Polisetty Sandhya R. Jetti Ganesh K. Venayagamoorthy Ronald G. Harley Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

The increasing effect of wind energy generation will influence the dynamic behavior of power systems by interacting with conventional generation and loads. Due to the inherent characteristics of wind turbines, non-uniform power production causes variations in system voltage and frequency. Therefore, a wind farm requires high reactive power compensation. Flexible AC transmission systems (FACTS) devices such as SVCs inject reactive power into the system which helps in maintaining a better voltage profile. This paper presents the design of a linear and a nonlinear coordinating controller between a SVC and the wind farm inverter at the point of interconnection. The performances of the coordinating controllers are evaluated on the IEEE 12 bus FACTS benchmark power system where one of the generators is replaced by a wind farm supplying 300 MW. Results are presented to show that the voltage stability of the entire power system during small and large disturbances is improved

关键词： intelligent networks Wind farms Voltage Power system stability Wind energy generation Power system interconnection Power system dynamics Power generation Reactive power Flexible AC transmission systems

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