Hardware-in-the-loop testing of simple and intelligent MPPT control algorithm for an electric vehicle charging power by photovoltaic system

El-Khatib, Mohamed Fawzy; Sabry, Mohamed-Nabil; El-Sebah, Mohamed I. Abu; Maged, Shady A.

doi:10.1016/j.isatra.2023.01.025

Cited by 9 publications

(8 citation statements)

References 24 publications

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“…The differences in real power generation among the three methods are minimal, indicating the effectiveness of all techniques in maintaining power balance. Accurate estimation and minimization of line losses are crucial for efficient power transmission [24], [25]. The slight differences in line losses among the techniques highlight their efficacy in managing power losses within the system.…”

Section: Resultsmentioning

confidence: 99%

Comparison of power system flow analysis methods of IEEE 5-bus system

Channi,

Sandhu,

Giri

et al. 2024

IJEECS

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Load flow analysis is a crucial tool used by electrical engineers for simulating the power system. It is aimed at examining the most possible way of operating and controlling a power system and the exchange of power flow within the power system. For the economic and optimal operation of power systems, the most essential task is to find the most feasible solution technique suitable and efficient for the study of power generation, transmission, and distribution. There are various power flow study solution techniques, and for some solution techniques, the simulation of the system can take a long time, which prevents the simulator from attaining a higher accuracy result for the power flow simulation due to the interrupting rise and fall in power demand from the consumer, which also affects the power generation as well. This paper discusses the comparison of various techniques used in load flow studies with the assistance of a small power system with five buses. The numerical solution techniques used are the fast decoupled load flow solution technique, the Gauss-Seidel solution technique, and the Newton-Raphson solution technique for a power flow study solution on an IEEE 5-bus using MATLAB/Simulink.

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Section: Resultsmentioning

confidence: 99%

Comparison of power system flow analysis methods of IEEE 5-bus system

Channi,

Sandhu,

Giri

et al. 2024

IJEECS

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“…El‐Khatib et al 34 developed a lightweight and intelligent controlling algorithm with charging EV batteries with the use of PV power sources. Moreover, the standard PID controller has been used to generate the controlling signals for operating the converter components.…”

Section: Related Workmentioning

confidence: 99%

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

Nambi,

Muthubalaji,

Srinivasan

et al. 2024

Energy Storage

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An economically appealing alternative to the use of fossil fuels in many nations is the electric vehicle (EV). Commercial EVs have a battery that powers the motor while also being charged by solar photovoltaic (PV). The original contribution of this research work is to implement a smart and advanced methodologies for accomplishing the objectives of MPPT control and battery management in EVs. Here, a novel spotted hyena optimized (SHO)‐MPPT controlling algorithm is applied to get the most out of the electricity generated by PV panels to meet EV energy requirements. A modified high gain super‐lift Luo converter has been implemented to improve and regulate the output voltage of PV for optimal battery charging and motor control. Then, an adaptive dynamic encoded network controller is designed to improve the voltage regulation and boosting performance of the DC‐DC converter. Consequently, a Henry gas solubility optimization is deployed to perform an effective battery management in EVs by optimally estimating the state of charge, which helps to increase the charging efficiency of EVs. Moreover, a three‐phase voltage source inverter has also been used to lower harmonic levels and deliver high‐quality output power to the EV motor. The results of the proposed MPPT controlling, converter controlling, and battery management strategies are verified in this study using a complete simulation and comparison analysis, where the parameters such as IV‐PV characteristics, motor torque, speed, total harmonic distortions (THDs), and so forth are taken into account for performance validation. By using the proposed controlling methodology, the THD is reduced to 1.09% with the improved vehicle speed of 3000 rpm, and overall performance efficiency of 99%.

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“…Therefore, there is a lot of research trying to simplify and improve the controller. Combining simplification with intelligence is challenging because increasing the intelligence of a controller inevitably leads to an increase in system complexity, which can only be achieved by making the system intelligent or simple [27].…”

Section: The Isuipid Controllermentioning

confidence: 99%

“…As shown in Figure 4, these two controllers can be designed as an intelligent PID (IPID) controller with the following adaptive parameters: simple adaptive PID controller and the other is the application of the multiple degrees of freedom (MDOF) concept. The MDOF utilizes two controllers with different gains operating simultaneously in the wide range of errors and in the fine-tuning region; the first controller handles large errors for fast error correction, while the other handles small errors for fine-tuning [27,28]. The final output (O/P) composed of the outputs of two controllers is as follows [28]:…”

Section: The Isuipid Controllermentioning

confidence: 99%

Design and Control of Hydraulic Power Take-Off System for an Array of Point Absorber Wave Energy Converters

Wang,

Zhang,

Hai

et al. 2023

Sustainability

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The development of wave energy converter (WEC) arrays is an effective way to reduce the cost of levelized energy and facilitate the commercialization of WECs. This study proposes a hydraulic power take-off (PTO) system for an array of point absorber wave energy converters (PA-WECs) and designs a control system using a novel algorithm called the improved simplified universal intelligent PID (ISUIPID) controller and the adaptive matching controller including an improved artificial gorilla troops optimizer (IGTO) to improve and stabilize the output power of PA-WEC arrays. Simulations under varying irregular wave states have been carried out to verify the validity of the mathematical model and the control system. The results show that the designed IGTO has faster convergence speed and better convergence accuracy in solving the optimal linear damping coefficient of the generator, and the proposed ISUIPID controller provides superior performance in tracking the speed of the hydraulic motor under the changing sea states. In addition, the capture power and output power of the array of PA-WECs are improved and the electrical energy can be output stably under the designed control system. The array of PA-WECs with the proposed control system will become an independent, stable, efficient, and sustainable power supply system.

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Hardware-in-the-loop testing of simple and intelligent MPPT control algorithm for an electric vehicle charging power by photovoltaic system

Cited by 9 publications

References 24 publications

Comparison of power system flow analysis methods of IEEE 5-bus system

Comparison of power system flow analysis methods of IEEE 5-bus system

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

Design and Control of Hydraulic Power Take-Off System for an Array of Point Absorber Wave Energy Converters

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