Adaptive Step Size Based Hill-Climb Search Algorithm for MPPT Control of DFIG-WECS With Reduced Power Fluctuation and Improved Tracking Performance

Uddin, M. Nasir; Amin, Ifte Khairul

doi:10.1080/15325008.2018.1533603

Cited by 14 publications

(10 citation statements)

References 21 publications

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“…In this paper, the two tasks have been performed by VSC and BC including optimization techniques, meaning FRT capability realization to improve the dynamic performance of PMSG [14]. There are many statistical and conventional techniques like Taguchi technique, response surface method (RSM) [24], artificial neural network (ANN) [12,25] and affine projection algorithm (APA) [14] where are applied for fine-tuning the PI controller employed in the regulatory system for different power system components. But, these techniques depend on the initial values, so meta-heuristic algorithms such as PSO [26] Figure 8 illustrates the steps needed to find the best solution and the three proposed techniques…”

Section: Frt Capability Realization For Pmsg With Bcmentioning

confidence: 99%

Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques

2020

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Quick transient and smooth stable-state output of permanent magnet synchronous generator (PMSGs) is crucial for sustained power generation and grid code fulfillment specifically the fault ride-through (FRT) capability. Optimization techniques such as gray wolf optimizer (GWO), particle swarm optimizer (PSO) and whale optimizer algorithm (WOA) are proposed to realize a fast transient response and smooth operation of the PMSG. The proposed algorithms for machineside converter are used to get the optimum power generated. Braking chopper (BC) was chosen as a solution for achieving the FRT for PMSG. The studied cases are the three-step wind speed change and symmetrical fault contingencies. In the first case, PSO gives better performance compared with conventional proportional integral, while in the second case, GWO and WOA give a better performance than PSO. GWO delivers the best output in the case of symmetrical fault compared to the WOA. MATLAB/Simulink environment is used to demonstrate the effectiveness of the proposed GWO technique including BC for improving the PMSG dynamic performance.

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Section: Frt Capability Realization For Pmsg With Bcmentioning

confidence: 99%

Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques

2020

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“…If the small step size is applied, the small steady-state oscillations around the MPP are observed, but the tracking response of the rotor speed is slow, which decreases the average output power. In contrast, the large step size has a rapid response with large power oscillations in the steady-state period, which decreases the WT efficiency [ 22 , 23 , 24 , 25 ]. Hence, the enhancement of the HCS technique necessitates fine-tuning of the step size and perturbation direction to accomplish MPP tracking requirements at overall wind speeds [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive HCS MPPT Algorithm-Based Wind Generation System Using Model Reference Adaptive Control

Alrowaili

Ali

Youssef

et al. 2021

Sensors

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To treat the stochastic wind nature, it is required to attain all available power from the wind energy conversion system (WECS). Therefore, several maximum power point tracking (MPPT) techniques are utilized. Among them, hill-climbing search (HCS) techniques are widely implemented owing to their various features. Regarding current HCS techniques, the rotor speed is mainly perturbed using predefined constants or objective functions, which makes the selection of step sizes a multifaceted task. These limitations are directly reflected in the overall dynamic WECS performance such as tracking speed, power fluctuations, and system efficiency. To deal with the challenges of the existing HCS techniques, this paper proposes a new adaptive HCS (AD-HCS) technique with self-adjustable step size using model reference adaptive control (MRAC) based on the PID controller. Firstly, the mechanical power fluctuations are detected, then the MRAC continuously optimizes the PID gains so as to generate an appropriate dynamic step size until harvesting the maximum power point (MPP) under the optimal tracking conditions. Looking specifically at the simulation results, the proposed AD-HCS technique exhibits low oscillations around the MPP and a small settling time. Moreover, WECS efficiency is increased by 5% and 2% compared to the conventional and recent HCS techniques, respectively. Finally, the studied system is confirmed over a 1.5 MW, gird-tied, double-fed induction generator (DFIG) WECS using MATLAB/Simulink.

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“…A remarkable method for maximizing C p is known as Maximum Power Point Tracking (MPPT) [23], and several techniques have been developed such as Perturb and Observe (P&O) [24][25][26][27], Optimal Torque Control (OTC) [28,29], Hill-Climb Searching (HCS) [30,31], Power Signal Feedback (PSF) [32,33], Tip Speed Ratio (TSR) [34,35] and some based on neural-networks algorithms [36,37].…”

Section: Introductionmentioning

confidence: 99%

Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG

González-Hernández

Salas-Cabrera

2021

Mathematics

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Mathematical models and algorithms for maximizing power extraction have become an essential topic in renewable energies in the last years, especially in wind energy conversion systems. This study proposes maximum power point tracking using gain scheduling approximations for an emulated wind system in a direct-drive connection. Power extraction is obtained by controlling the duty cycle of a Multilevel Boost Converter, which directly varies the rotational speed of a permanent magnet synchronous generator directly coupled to a three-phase induction motor that emulates the wind turbine. The system’s complexity is linked to the inherent non-linearities associated with the diverse electrical, mechanical, and power electronic elements. In order to present a synthesized model without losing the system dynamic richness, several physical tests were made to obtain parameters for building several mathematical approaches, resulting in non-linear dynamic equations for the controller gains, which are dependant on wind speed. Thirty real operational wind speeds considering typical variations were used in several tests to demonstrate the mathematical models’ performance. Results among these gain scheduling approaches and a typical controller constant gains mathematical model were compared based on standard deviations, absolute error, and the time for reaching the optimum generator angular speed related to every wind speed.

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Adaptive Step Size Based Hill-Climb Search Algorithm for MPPT Control of DFIG-WECS With Reduced Power Fluctuation and Improved Tracking Performance

Cited by 14 publications

References 21 publications

Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques

Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques

Robust Adaptive HCS MPPT Algorithm-Based Wind Generation System Using Model Reference Adaptive Control

Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG

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