Transient Stability Enhancement for 20 MW PV Power Plant via Incremental Conductance Controller

Mohamed, Rania Gamal; Ebrahim, Mohamed A.; Bendary, Fahmy; Osman, Saied A

doi:10.4018/ijsda.2017100106

Cited by 19 publications

(4 citation statements)

References 22 publications

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“…It reduces with the rise in𝜀 and the operating point moves away from the real MPP for a comparatively higher value of 𝜀. In order to improve the efficiency of the MPPT system, the value of 𝜀 should be accurately determined [8].…”

Section: P and O Based Mpptmentioning

confidence: 99%

MPPT Using P&O and IC Based PI Controller for Solar PV System with Charge Controller

Sujatha¹,

Lakshmi²,

Kumar³

et al. 2020

helix

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The power output of the solar PV system depends mainly on the two variables such as temperature and irradiance. A technique for the effective use of solar PV is known as the MPPT. This technique extracts the highest available energy from the solar PV panel by enabling it to operate at the maximum effective output. This paper introduces 2 MPPT controllers that are standard Perturb & Observe (P&O) and Proportional Integral (PI). In specific, the performance of the controllers under two conditions is analyzed such as constant irradiation and different temperatures, constant temperature and different irradiations. The simulation work is carried out under MATLAB/SIMULINK, environment.

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Section: P and O Based Mpptmentioning

confidence: 99%

MPPT Using P&O and IC Based PI Controller for Solar PV System with Charge Controller

Sujatha¹,

Lakshmi²,

Kumar³

et al. 2020

helix

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“…For this purpose, four various performance indices are used such as Integral Absolute Error (IAE), Integral Square Error (ISE), Integral Time Absolute Error (ITAE), and Integral Time Square Error (ITSE). In this study, the commonly used optimization techniques in engineering optimization applications are considered such as Zeigler Nicolas (ZN), Simplex Algorithm (SA), Genetic Algorithm (GA), and Artificial Bee Colony (ABC) .…”

Section: Stability Regions Classification and Verificationmentioning

confidence: 99%

Robust non‐fragile approach to resilient design of PID‐based blade pitch control for wind energy conversion system

Ebrahim

Ramadan

Soliman

2019

Asian Journal of Control

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The design of a blade pitch controller (BPC) for wind energy conversion system (WECS) applications is load-dependent and has to be adjusted for each operating condition. Thus, BPC robustness is important for coping with the endless variations in operating conditions. The boundaries of a robust stability region are determined in regards to the controller parameters plane using their relevant set of polynomial inequalities via Referential Integrity between Routh-Hurwitz criterion and Root-Locus (RI-RH/RL) approach. Constrained and unconstrained stability regions respectively are defined through a novel hybrid control technique based on the combination of both RI-RH/RL and Kharitonov (Kh) theorem. The hybrid RI-Kh method is used for globally analyzing all vertex plants to ensure the proposed controller robustness, nonfragility, and resilience by selecting its parameters at the center of the robust stability region. The optimal BPC-PID parameters estimated using different optimization techniques are always located within the specified stability region. Thus, the capability of the RI-Kh approach in determining the most robust, non-fragile and resilient controller is verified. Through simulation results, the effectiveness of the proposed approach and its applicability to WECS' global stabilization are validated.

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“…The INC technique offers numerous benefits over the P&O technique by way of tracking speed, tracking precision, and effectiveness. On the other hand, the INC MPPT technique is more difficult, and in real-world applications, noise and inaccuracies in the measured control values have a negative impact on the algorithm's performance [27,28], model predictive control [29], and synergistic nonlinear fractional control [30]. However, the best algorithms are P&O and INC because they present many advantages such as reduced implementation costs and fewer parameter measurements.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Performance Improvement Using Model Reference Adaptive Control of Photovoltaic Systems under Fast-Changing Atmospheric Conditions

Mindzie,

Kenfack,

Joseph

et al. 2023

International Journal of Photoenergy

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The effectiveness of a photovoltaic (PV) system can be increased by using maximum power point tracking (MPPT). The literature has suggested a number of methods for tracking the maximum power point (MPP). However, this number of methods most often presents a high convergence speed in reaching the MPP, complexity under their implementation, power fluctuations, overshoots, and great difficulty in reaching the MPP under fast-changing atmospheric conditions, thus influencing the efficiency of PV systems. Intending to improve the performance of PV systems under rapid changes in the atmosphere, this paper proposes model reference adaptive control (MRAC) as a technique for tracking the MPP based on the employ of reference models such as optimal voltage and current at the MPP ( V MPP and I MPP ). The MATLAB/Simulink environment is used to produce the simulation results; the Kyocera Solar KC 130 GT module is used here as a photovoltaic power plant, connected to a boost converter, supplying a resistive load. The Lyapunov theory was used to demonstrate the stability of the system. The simulation outcomes obtained using the suggested method are compared with those obtained by techniques such as perturb and observe (P&O), incremental conductance (INC), variable step incremental conductance (VSINC), particle swarm optimization (PSO), and grey wolf optimization (GWO), thus showing a very large improvement under standard test and fast-changing atmospheric conditions of the technique proposed on the other techniques in terms of convergence speed and tracking efficiency. The simulation results prove that the suggested method has great tracking effectiveness (>99.88%), less time for convergence (<0.01 s), and simple implementation complexity under fast-changing atmospheric conditions without both transient and steady-state power oscillations, overshoots, and chattering effects, thus causing a great minimization of energy losses, and the proposed technique reaches exactly the MPP under fast-changing atmospheric conditions.

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Transient Stability Enhancement for 20 MW PV Power Plant via Incremental Conductance Controller

Cited by 19 publications

References 22 publications

MPPT Using P&O and IC Based PI Controller for Solar PV System with Charge Controller

MPPT Using P&O and IC Based PI Controller for Solar PV System with Charge Controller

Robust non‐fragile approach to resilient design of PID‐based blade pitch control for wind energy conversion system

Dynamic Performance Improvement Using Model Reference Adaptive Control of Photovoltaic Systems under Fast-Changing Atmospheric Conditions

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