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In addition, an inverter is used to convert DC to AC power. Many researchers and this entire works were interested in one problem or two problems in hybrid renewable sources with optimal PID controller. But in this work authors used two types of optimization in hybrid PV, wind turbine and battery storage.
Normally, voltage and current controllers are used for renewable energy grid connected systems. Thereafter, six PID gains are obtained. In this study, two optimization techniques have been compared, LAPO algorithm and PSO optimization technique are developed at the system HRE.
These techniques are particle swarm optimization (PSO) and lightning attachment procedure optimization (LAPO). The hybrid renewable generation energy system in this study includes a photovoltaic source, wind turbine, and battery storage, which are connected to a point of common coupling via DC/DC boost converters.
Thereafter, six PID gains are obtained. In this study, two optimization techniques have been compared, LAPO algorithm and PSO optimization technique are developed at the system HRE. Particle swarm is based on the algorithm described in , using modifications suggested in [5, 6].
The PID control has three terms in the content, the three constant parameters are K p for proportional, K i for integral, and K d for derivative control. The PID control is one of the types of classic control, it is used in industrial engineering and it's simple to compute .
The controller at the inverter consists of a current controller and voltage source controller, which results in three PID gains at each controller. In order to obtain the PID gains, a time domain objective function is formulated in terms of the voltage, and current errors.
The main target of this paper is to allow renewable energy resources (RES) to participate effectively within hybrid micro grids via an optimal proportional integral- derivative (PID) controller. This paper proposes two techniques of optimal PID controllers in a hybrid renewable generation energy system. These techniques are particle swarm optimization (PSO) and …
This paper takes the TriMule hybrid robot as an example, and a 3D view of the robot is shown in Fig. 1. TriMule hybrid robot consists of a 1T2R (T—Translation, R—Rotation) spatial parallel mechanism for positioning and a A/C type wrist attached to …
Transistor at low frequency: Graphical analysis of the CE model, two-port model and hybrid model, transistor hybrid model, the h-parameter, analysis of transistor amplifier circuit using h-parameter, the emitter follower, miller''s theorem and its duality, cascading transistor amplifiers, simplified CE and CC configuration.
This paper proposes two techniques of optimal PID controllers in a hybrid renewable generation energy system. These techniques are particle swarm optimization (PSO) …
This manuscript proposes a hybrid method for managing power in a Hybrid Energy Storage System within a grid-independent Hybrid Renewable Energy System. The …
The Universal Hybrid-pi model will be included as the compact model in the Advanced Design Tool for predicting the incremental output impedance of the circuit configuration under study. This will enable an exceptional model-to-hardware correlation and will go a long way in electronic Design Automation of high speed Si and SiGe IC''s which have ...
3.6 The hybrid system of solar-w ind with battery energy storage system. The load demand is sati sfied by the combination of solar PV, BE SS, and WT-PMSG . as shown in Figure 8.
Hybrid PV/T (Photovoltaic/thermal) systems are a robust alternative to the limitations of PV panels and thermal collectors in energy production. Improving their performance is therefore necessary. This article presents a new configuration of hybrid photovoltaic and thermal (PV/T) air/water-CuO/MgO/TiO2 collector which is optimized by seeking a better …
In this paper, a hybrid electric energy storage system for electric vehicle is simulated using Neural Network and PI combined controller. The results show that the use of artificial neural network …
Vachirasricirikul S. and Ngamroo I.: ''Robust controller design of microturbine and electrolyzer for frequency stabilization in a microgrid system with plug-in hybrid electric vehicles'', Int. J. Electr. Power Energy Syst., 2012, 43, (1), pp. 804–811
This paper explores the coordinated optimization of the parameters of controllers, including power system stabilizer, unified power flow controller with power oscillation damping controller and the installation position of unified power flow controller, to enhance the stability of wind-PV hybrid power systems. An effective improved Pelican optimization …
3.2. Turn-off driving voltage of SiC MOSFET. The SiC/Si hybrid switch turn-off waveforms when the turn-off driving voltage of SiC MOSFET is taken as 0 V, − 2 V, − 4 V, − 6 V and − 8 V are shown in Fig. 5 (a). As the absolute value of the turn-off driving voltage increases, it has little effect on the turn-off current variation rate di/dt, and the turn-off drain–source voltage …
The PID controller parameters directly affect the dynamic characteristics of the hybrid magnetic bearing (HMB) system. However, currently, control parameter tuning mainly depends on experience and lacks the support of design theory. In this paper, the control parameter tuning method was studied to solve this problem. First, the expressions of …
This section presents the configuration of the hybrid μG considered in this paper, and the main details of the linearised model used to describe its frequency regulation. The arrangement of the hybrid μG system …
It can be observed in Figure 11 that initially, both the hybrid and PI controllers achieve torque stabilization within 6 sec, the maximum overshoot of hybrid controller is much lower than the conventional PI controller, and also when same test signals are introduced at specific intervals of 10, 20, and 30 sec, the torque response of PI controller exhibits maximum …
All these optimisation techniques converge very slowly and this can be minimised by using hybrid optimisation techniques by combining two or more algorithms [24-28]. In this proposed work, a PSO–GSA based optimisation is presented to tune the PI controller in the outer voltage control loop and to enhance the performance further the inner SMC ...
A hybrid generator with a photovoltaic energy conversion system is proposed with supercapacitors and lead-acid batteries in a dc-coupled structure.
In summary, h-parameters are commonly used in datasheets and hybrid-pi models to describe the characteristics of a BJT in small signal analysis. hfe represents the forward common emitter, while h11, h21, h12, and h22 describe other parameters related to base-emitter resistance, current gain, and output conductance.
transistor hybrid parameters (h-parameters); for example dV, -1 = slope of input characteristic with v2 constant, d/1 is denoted by hi> and stated in ohms. d.l --2 = slope of forward current transfer characteristic with d/1 v2 constant, and is denoted by hr. V
4.1 Manta Ray Foraging Optimization (MRFO). The MRFO [] is developed to accomplish a global optimization.The MRFO is a nature-based optimization technique that uses the foraging strategies of Manta rays. There are three different types of Manta ray foraging techniques, they are cyclone foraging, chain foraging, and somersault foraging, respectively, …
Maximizing the efficiency of photovoltaic (PV) energy harvesting systems is essential for improving the sustainability and cost-effectiveness of solar power. This paper presents a novel hybrid MPPT controller that combines fuzzy logic and proportional-integral (PI) control optimized using particle swarm optimization (PSO) for enhanced performance in …