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Due to the uncertainty of power load demand and the stochastic power generation from renewable energy, frequency fluctuation becomes a major concern of power system, especially for a microgrid. In this paper, an improved proportional-integral (PI) controller based on the neural adaptive control method is proposed to deal with the load frequency control (LFC) problem in a microgrid with wind power...
This paper discusses an adaptive algorithm to control a magnetorheological fluid vibration isolator operating under varying frequency of the vibration source. The algorithm provides automatic tuning of the isolator properties by controlling the viscosity of magnetorheological fluid in the throttle channels. This ensures efficient damping and vibration protection at the main harmonic of a varying vibrational...
Active noise control is often concerned with the strong attenuation of single or multiple tonal noise disturbances which may have unknown and time varying frequencies. Currently in applications, adaptive feed-forward compensation is used which requires the use of an additional transducer and introduces an instability risk due to a positive internal coupling. However for these types of noise a feedback...
Energy storage systems (ESSs) are desired and widely applied for power smoothing especially in systems with renewable generation and pulsed loads. High-pass-filter (HPF) is commonly applied in those applications in which the HPF extracts the high frequency fluctuating power and uses that as the power reference for ESS. The cut-off frequency, as the critical parameter, actually decides the power/energy...
A recent increase in mobile and IoT devices has led to the advancement of wireless charging. The state-of-the-art wireless charging systems operate at a particular frequency, controlled by the explicit networking from the power-receiving device (which relays the battery status information, useful for the frequency selection), but such control is not designed to cope with the variations in the power...
The paper suggests a method for synthesis of an adaptive control system for a mechatronic complex with variable parameters. The control system parameters are adjusted according to frequency response curves while changing the control objects parameters. This provides the fastest possible speed of such mechatronic objects movement without reducing the control dynamic accuracy. Synthesis is considered...
A formal safety controller synthesis method for power grid frequency regulation using energy storage systems is proposed. After a fault, with uncertainties in the fault clearing time, the generator machine angles and rotor speed deviations will enter a set of post-fault states that can be over-approximated using reachability analysis. We use the robust neighbourhood approach to cover this set using...
Aiming to elevate the ability of wind power to improve power quality of power system, this article proposed a coordinated control strategy based on adaptive fuzzy control to improve the frequency and voltage quality of power system using wind power and energy storage (ESS). This strategy firstly detects the frequency and voltage deviation of power system. Then using the adaptive fuzzy control determines...
Renewable Energy Sources (RESs) have been penetrating in power system at a staggering pace in recent years. Their intermittent nature is, however, posing great threat to system operation. Recently, active load management has been suggested as a tool to counteract these side effects. In multi-energy system, thermal load management will benefit not only electric network but also district heating network...
In this paper an adaptive fuzzy PI control is proposed to improve a frequency regulator in a wind turbine generator (WTG) supplying an isolated load at 50 Hz. The novel controller is applied through a flywheel system by balancing the system produced and consumed powers. That means, in case the WTG produces power higher than the isolated load demand then the frequency will be higher than set point...
Network intrusion detection system (NIDS) is becoming an important element even in embedded systems as well as in data centers since embedded computers have been increasingly exposed to the Internet. The demand for power budget of these embedded systems is a critical issue in addition to that for performance. In this paper, we propose a technique to minimize power consumption in the NIDS called by...
This paper analyzes the interaction effect among multiple static var compensator-based damping controllers (SVC-DCs). The overall system is divided into the SVC-DCs and the external system for studies. Theoretical analysis indicates that the increase of the gain of a SVC-DC may cause an unstable control mode oscillation, and installation of another SVC-DC may cause destabilizing interactions between...
This paper addresses the frequency regulation problem in paralleled inverter-based microgrid. A fully distributed adaptive control scheme is presented without the need for the central computer. With this method the frequency is regulated to its nominal value, while the power sharing of generators is maintained at the same time. By estimating the parameters on power lines adaptively, the distributed...
An advanced service provided by the Smart Transformer (ST) is the decoupling between the Medium Voltage (MV) and Low Voltage (LV) grids. In the LV side, the ST can modify the waveform's frequency in order to interact with the droop controllers of the local generators to control the power demand among the sources without affecting the MV grid. However, most of the existing controllers for power converters...
A nonlinear control scheme for thermal power system frequency control is described. Nonlinear controller is developed through describing function stability analysis of the system Controller ensures stability of the system for any input. Simulation results are given showing the smooth operation of described control scheme. Paper describes in detail the stability analysis and controller design.
This paper presents results from an experiment that is designed to explore the approaches that humans use to learn to control an unknown linear time-invariant dynamic system. In this experiment, 10 subjects interacted with an unknown dynamic system 40 times over a 2-week period. We use subsystem identification to model the control strategies that the subjects employ on each of their 40 trials. In...
This paper describes a method for the highprecision and fast measurement of the damping of a linear oscillator by using harmonic vibrations. The measurement is based on the evaluation of the vibration frequency that corresponds to a specific phase shift. A phase-locked loop controls the phase shift using the excitation frequency as control signal. Since the dynamics of the frequency adjustment is...
In traditional feedback control, a single sampling rate is used for all control loops. Consequently, achieving higher performance by increasing the sampling rate is generally costly. The aim of this paper is to develop a multi-rate control framework to create a breakthrough in the performance/cost trade-off in digital controller implementation. In the proposed approach one of the control loops is...
Algorithm of adaptive PID-controller for plant with unknown coefficients in the presence of unknown-but-bounded disturbance is derived. It makes use of a sufficient small test signal. Adaptation process consists of intervals on which a plant and closed-loop system are identified on the base of finite-frequency identification technique. The plant coefficients estimates are used for controller redesign...
The paper deals with an application of the modified Nussbaum Gain in connection with the adaptive stabilization of the process with completely (i.e. in the magnitude and sign) unknown high frequency gain. The original idea of the Nussbaum gain is to invert the sign of the gain of the controller periodically and to increase its gain. The stability of such schema was proved for first order systems....
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