Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system

Gaber, Mohab; Elbanna, Sayed H. A.; El‐Dabah, Mahmoud A.; Hamad, Mostafa S.

doi:10.1016/j.egyr.2021.06.054

Cited by 33 publications

(8 citation statements)

References 25 publications

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“…As regards PUEES, work [21] analyzes the stability of EPS with converters on the DC-Link line, and then two linear control approaches are proposed to stabilize the power voltage as part of SEEI improvement. In [22], the ambiguous nature of programming approaches, as an element of design solutions used to analyze the stability and control of EPS, is indicated as a self-sufficient problem. This, in turn, accumulates [23] existing methods of compensating for voltage drop on the methods of using cascading power converters with a warning perturbation controller.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Optimization of the control system for an electric power system operating on a constant-power hyperbole

Budashko

Sandler

Shevchenko

2022

EEJET

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For an electric power system (EPS) of the combined propulsion complex (CPC), working on a constant-power hyperbola (CPH), the strategy of managing power distribution between propulsion electric motors and own needs consumers has been improved. The study reported here aimed to reduce fluctuations in current consumption and load by optimizing voltage controllers and the rotation frequency of generator assemblies (GA). The system of EPS GA voltage and frequency stabilization was synthesized by determining, in the system of equations, the dynamics of the values of EPS links' time constants and the coefficients that correspond to control parameters. To define the characteristics of the control signals from the regulators of EPS GA rotation frequency and excitation voltage, the laws that control the speed and excitation current were calculated. After sampling the coefficients of the GA speed control regulator, the tasks for the excitation voltage controller were determined. The methodology of data acquisition was applied on the basis of a correlation between the EPS characteristics and the experimental characteristics of GA. The system of EPS dynamics equations was optimized in accordance with the structure and settings of the optimal controller and the probability of a situational error by using Spearman's rank correlation coefficient. The optimization has made it possible to reduce the likelihood of a situational error during the synchronization of GA and enable the stable operation of GA close to the mode of operation on CPH. The power controller was tested under the mode of changing the load of own needs with the power levels of EPS on CPH in the range of 50‒100 % of the rated power. The range of deviations of the current consumed with an enabled GA rotation controller was 10 % of the average value. The range of EPS power deviations with the power controller turned on was 5 %.

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Optimization of the control system for an electric power system operating on a constant-power hyperbole

Budashko

Sandler

Shevchenko

2022

EEJET

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“…The method used in [15] to regulate the flow of a hybrid system in response to variations in the load demand and battery SOC is the intelligent energy management system based on the adaptive neurofuzzy inference system ANFIS/Simulink toolbox. [16] conducted comparison results between FLC and ANFIS intelligent techniques to find out which sort of these intelligent systems should be employed for enhancing the SOC profile of the series-parallel plug-in hybrid electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Energy Management System Evaluation of Hybrid Electric Vehicle Based on Recurrent Wavelet Neural Network and PSO Algorithm

2023

IJIES

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An energy management system (EMS) for hydrogen fuel cell hybrid electric vehicles (FCHEV) based on artificial intelligent (AI) technique is presented in this paper. In order to achieve a fast dynamic response and maintain high efficiency of energy storage resources, the fuzzy logic controller (FLC) and artificial neural networks (ANNs) are utilized for purpose of intelligently managing the system's power flow. Moreover, the feed-forward wavelet neural network linked with proportional-integral (PI) controller named (WNN-PI) and the recurrent wavelet neural network linked with PI controller named (RWNN-PI) are tuned by particle swarm optimization (PSO) algorithm, both are aimed at the operating of the resources at high efficiency with respect to their mechanism performance, meeting the load power demands efficiently, and reducing hydrogen usage. Finally, a comparison of the simulation outcomes is presented to choose the best of the proposed AI controllers where the results showed optimum power flow between power sources and load power of FCHEV then as consequence, the BAT and UC are run in a safe manner and extend their lifetime, also, the average efficiency of the FC stack has been increased, and the amount of usage of hydrogen fuel is reduced. The simulation of AI EMS has been carried out by MATLAB/Simulink R2022a, with various vehicle driving cycles by the advanced vehicle simulator (ADVISOR).

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“…However, the lamps used are usually mercury, fluorescent, or incandescent lamps assisted by an electric generator as a source of electrical energy [8]- [10]. This is done because it is still considered simple by the fishermen [11]- [17]. For this reason, it is necessary to improve technology on the fixed lift nets considering that nowadays the use of fossil energy has begun to be limited by the government and the amount has also begun to be limited [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Technical-economic prospect for photovoltaic on fixed lift net in Indonesia

Nugraha¹,

Desnanjaya²,

Siregar³

et al. 2023

IJPEDS

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The limited fossil energy and uncertain prices have an indirect effect on fishing activities using a fixed lift net. Therefore, energy diversification is carried out by utilizing solar energy with photovoltaics on the fixed lift net. This energy is very abundant and available throughout the year, except during the rainy season. This study uses observation, interviews, and questionnaires given to fishermen and tries to compare the utilization of photovoltaic (PV) systems with generators using different types of lamps, such as LED, CFL, incandescent lamps, and halogen lamps. The use of PV systems in fixed lift nets from a technical and economic perspective allows it to be utilized in the long term. Based on the technical aspects, the PV system can produce 471.59 Wh per day. This technical result will be more profitable if the lamp used is a light emitting diode (LED) lamp. Meanwhile, from economic aspect, the use of electrical energy from a PV system is more profitable because it provides a lower operational value than a generator, and provides good net present value (NPV) and internal rate of return (IRR) values. This utilization is also supported by the good response from fishermen towards the energy produced and the ease of operation and maintenance of the PV system.

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Intelligent Energy Management System for an all-electric ship based on adaptive neuro-fuzzy inference system

Cited by 33 publications

References 25 publications

Optimization of the control system for an electric power system operating on a constant-power hyperbole

Optimization of the control system for an electric power system operating on a constant-power hyperbole

Intelligent Energy Management System Evaluation of Hybrid Electric Vehicle Based on Recurrent Wavelet Neural Network and PSO Algorithm

Technical-economic prospect for photovoltaic on fixed lift net in Indonesia

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