Multi-stage and multi-objective optimization for optimal sizing of stand-alone photovoltaic water pumping systems

Ahmed, Eihab E.E.; Demirci, Alpaslan

doi:10.1016/j.energy.2022.124048

Cited by 21 publications

(3 citation statements)

References 51 publications

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“…Mosethe et al (2023), also for rural systems and expanding energy supply alternatives, compared PV, wind, diesel generators and batteries; in this work, a weighting of functional or economic criteria of the supply alternatives is even considered for an adequate adaptation of the design process. Under a different approach, numerous works seek to optimize the control elements of solar panels; in these cases, it is intended that the system works at its maximum power point tracking (MPPT) (Karmouni et al 2022;Ahmed and Demirci 2022;Hilali et al 2022;Errouha et al 2022). Carrillo-Cobo et al (2014) defined the sector size that best fits the variable production of photovoltaic energy to reduce dependence on the electricity grid.…”

Section: Introductionmentioning

confidence: 99%

Optimization of an isolated photovoltaic water pumping system with technical–economic criteria in a water users association

et al. 2023

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With proper management, the modernization of irrigation systems makes it possible to improve the efficiency of application and use of water at the cost of an increase in pumping needs and, therefore, an increment of the energy consumed. The recent drastic price increase for energy put the viability of many farms at risk. In this context, using photovoltaic solar energy to power pumping stations has become an increasingly attractive alternative and a cheap and reliable option. The dimensioning of pumping systems powered by photovoltaic solar energy must be done considering the variability of solar radiation to take advantage of the available photovoltaic energy, especially during periods of less irradiation. By investigating a particular case, this paper studies the effect of increasing the number of pumps in parallel while maintaining the total power, as well as the relationship between the installed photovoltaic capacity and the power of the pumping system, to meet pumping requirements throughout the year. The pumped volume increased as the number of pumps installed in parallel increased for the same photovoltaic power generator. Although this increment has a limit, beyond which no greater significant rise in volume is achieved, installation costs increase. In addition, for the same pumping power installed, the required photovoltaic generator power decreases as the number of pumps in parallel increases. In the case studied, a 27% increase in the annual pumped volume was achieved by incrementing the number of pumps in parallel from one to five, thus leading to a 44.1% reduction in the size of the photovoltaic generator and a 13.3% reduction in the cost of installation compared with a system with only one pump. The procedure used to determine the most appropriate number of pumps to install in parallel when pumping water between two tanks, which minimizes the photovoltaic generator's size while guaranteeing pumping requirements, is easily generalizable for sizing isolated photovoltaic water pumping systems.

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Section: Introductionmentioning

confidence: 99%

Optimization of an isolated photovoltaic water pumping system with technical–economic criteria in a water users association

et al. 2023

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“…Another important factor in these water pumping systems is the optimization of renewable resources. Therefore, [15] describes the comparison of single-target and multi-target optimization for photovoltaic water pumping systems. This optimization was carried out using the PSO algorithm.…”

Section: Introductionmentioning

confidence: 99%

Effect of cloud transits in a stand-alone solar photovoltaic water pumping system

Artal-Sevil,

Vazquez-Pulido,

Bea-Alvarez

et al. 2023

RE&PQJ

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This paper discusses the effects of cloud transit on a stand-alone direct solar photovoltaic water pumping system for irrigation and farms. In this way, its impact is studied, applying a possible classification based on its incidence and effects on the system. For this, the information provided by the data loggers of different photovoltaic installations has been analyzed and in turn compared with the data obtained in the reference installation. In addition, the Matlab-Simulink simulation model used is described. Different simulations have been developed to verify the basic characteristics of the proposed system. In this way, it is possible to check the advantages and drawbacks of the direct water pumping in irrigation applications. At the same time, the system parameters can be easily modified to meet the requirements of different water flow capacities. Also, the water hammer effect and the cavitation phenomenon in the water pump are described. Finally, the simulation results obtained as well as their conclusions are presented.

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“…Most of the literature based on solar‐powered PMDC motor mainly concentrates on water pumping system application which does not need the control of speed [6, 7]. Other than the water pumping system, there are lots of usage areas in our day‐to‐day life.…”

Section: Introductionmentioning

confidence: 99%

Real‐time implementation of adaptive neural backstepping controller for battery‐less solar‐powered PMDC motor

Govindharaj

Mariappan

Ambikapathy

et al. 2022

IET Power Electronics

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A low‐cost battery‐less solar‐powered PMDC motor using an adaptive backstepping Chebyshev neural network controller to track the desired speed for any change in irradiance and load torque is proposed in this paper. The neural network is used for approximating the variable load torque because of its approximation property. The computational burden of the control law is reduced because of the orthogonal property of Chebyshev polynomials. The asymptotically stable system is obtained by tuning the weights of neurons in accordance with the Lyapunov stability analysis. From the Lyapunov control function of backstepping control design procedure, the control law is obtained by an innovative way of elucidating the cubic equation, in place of resolving the derivative of the control law in the control function. This approach eliminates the constraints caused by the non‐strict feedback system for the backstepping control approach and also this reduces ripples in the duty cycle which makes its appropriateness in real‐time. To ensure its robustness in tracking the desired speed at a faster time and minimum overshoot, simulations are done for an extensive range of variations in irradiance and load torque, and the obtained results are assessed by comparing it with the PID controller and conventional backstepping controller. Because of the use of neural network the robustness of the proposed controller is ensured with enhanced transient and steady state responses. A prototype is developed in the laboratory and the obtained results are assessed by comparing it with the backstepping controller and PID controller.

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Multi-stage and multi-objective optimization for optimal sizing of stand-alone photovoltaic water pumping systems

Cited by 21 publications

References 51 publications

Optimization of an isolated photovoltaic water pumping system with technical–economic criteria in a water users association

Optimization of an isolated photovoltaic water pumping system with technical–economic criteria in a water users association

Effect of cloud transits in a stand-alone solar photovoltaic water pumping system

Real‐time implementation of adaptive neural backstepping controller for battery‐less solar‐powered PMDC motor

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