Matei Vinatoru

MONITORING AND CONTROL OF HYDRO POWER PLANT

Abstract In hydro power plants from Romania, there is a major interest for the implementation of digital systems for monitoring and control replacing the conventional control systems for power, frequency and voltage. Therefore is necessary to develop mathematical models capable to accurately describe both dynamic and stationary behaviour of the hydro units, in order to be able to implement digital control algorithms. Moreover, it is necessary to implement systems for monitoring and control of hydro power plants in a cascade system along a river, in order to optimize the use of the river resources. This paper presents the possibilities of modelling and simulation of the hydro power plants and performs an analysis of different control structures and algorithms.

Level control of pumped-storage hydro power plants

The paper is trying to present the possible operational aspects for a pumped storage power plant. There are presented the possibilities of the study of operational regimes of the plant using experiments performed on lab equipment. The extrapolation of the lab results to the real plant is done using certain criteria of hydraulic similarities. In the end, it is proposed an algorithm for optimization of the plant operation, with the goal of efficient usage of hydraulic energy.

Experimental studies on faults detection using residual generator

In this paper one will develop the faults detection and localization method using residual vectors, in order to emphasize the noises, disturbances and faults on the outputs L1 and L2 of the control level plant with two coupled tanks ”Quanser Water Level Control Two Tank Module”. The proposed method was theoretically developed and experimentally verified in this plant and allowed detection and localization of two faults created in a real plant. The experiments presented were realized using Matlab Simulink program.

Fault detection in steam superheater using residuals generator method

The paper presents the faults detection and localization method using residual vectors, in order to emphasize the disturbances and faults on the outputs Ta2 and Ta3 of the steam temperature from superheaters. The control system temperature was developed under Matlab Simulink with a PI controller. Depending on the fault followed to be detected one can make configurations to define the residues with the proper implementation of the weighting matrices. The proposed method was theoretically developed and experimentally verified on the superheaters model.

Fault detection and isolation for MIMO systems

In this paper, a new fault detection and isolation method is proposed for complex systems. This method is applied to MIMO systems and it is based on the residual generator. The idea is to identify input command and parameter modifications using the output deviation of the real (or designed) plant given to model trajectory. The estimated perturbation is the actuator characteristic. If a fault situation occurs in the system, then a control system reconfiguration, based on the sensitivity matrices, will be used. The proposed method has been applied to a simulated aircraft control system and the simulation results confirm the effectiveness of the proposed fault detection and isolation scheme.

Adaptive Traffic Signal Control on a National Road Intersection

Adaptive traffic signal control is the process by which the timing of a traffic signal is continuously adjusted based on the changing arrival patterns of vehicles at an intersection, usually with the goal of optimizing a given measure of effectiveness. In this paper a traffic signal program is developed in which the characteristics of a traffic signal cycle are optimized at the conclusion of every phase based on the arrival times of vehicles to an intersection, using stopped delay as the measure of effectiveness. The methodology which leads to the signal plan is shown to provide improvement in performance for a number of intersection configurations and traffic regimes over traditional forms of traffic signal control.

Fault detection and isolation for hydropower systems using adaptive residual approach

This paper aims to address two issues by developing a specific nonlinear systems management tool known as feed-forward control and a method for fault detection and isolation for a class of nonlinear systems described by equations specific fluid flow through pipes.

Level Control Using a Feed-Forward Structure

This paper presents an alternative for level control in three coupled tanks, using a feed-forward control structure. The mathematical model for the lab installation is developed and the model is tuned by comparing its output with the real output of the lab rig. A comparative analysis of PI control and feed-forward control is presented.

Fault detection and control in superheater using electronic simulator

This paper presents the design of an electronic simulator in order to reproduce the real function of the superheater in normal condition and in fault condition. With this electronic simulator there was studied the possibility to control the superheater when the perturbations action and the control of the system structure which will be implemented on the real system.

Study case of direct sensitivity analysis applied to host pathogen cycles in self-regulated forest insect systems

In this paper, we present a case study on the calculation of variation of state variables from the nominal trajectory to variations in initial conditions and parameters variation applied on host-pathogen cycles in self-regulated forest insect system. In this study we used for numerical calculation and computer simulation, direct sensitivity analysis. Mathematical model considered is the models G Anderson and May (1981). For this system we calculated sensitivity functions with respect to initial conditions in relation to the parameters. With sensitivity functions with respect to initial conditions in relation to system parameters can be done various scenarios. The advantage of this method is that enables us to determine the contribution of each state perturbations to the trajectory deviation.