Enhancement of On-grid PV System under Irradiance and Temperature Variations Using New Optimized Adaptive Controller

<p>This paper studies an approximate dynamic programming (ADP) strategy of a group of nonlinear switched systems, where the external disturbances are considered. The neural network (NN) technique is regarded to estimate the unknown part of actor as well as critic to deal with the corresponding nominal system. The training technique is simul-taneously carried out based on the solution of minimizing the square error Hamilton function. The closed system’s tracking error is analyzed to converge to an attraction region of origin point with the uniformly ultimately bounded (UUB) description. The simulation results are implemented to determine the effectiveness of the ADP based controller.</p>

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“…For each number N , e N N is bounded on a region as e N N e max . Under the structure of ADP-based controller, a critic NN is computed as (15).…”

Section: Control Designmentioning

confidence: 99%

“…Theorem 2: Consider the feedback controller in (15) and the critic weight is updated by (18), the weight estimate errorw = w −ŵ and the closed system's state vector x(t) are uniformly ultimately bounded (UUB).…”

Section: ì Issn: 2088-8694mentioning

confidence: 99%

Adaptive dynamic programming algorithm for uncertain nonlinear switched systems

Nam

Quang

Tung

et al. 2021

IJPEDS

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“…The researchers are always interested in working in this field, particularly with the massive incorporation of renewable energy into the power system [25,26]. The analyzed solar collector has also been carried out by the ranking cycle so that many different clarifications are provided in each phase.…”

Section: Rankine Cycle Calculationsmentioning

confidence: 99%

Cogeneration of energy in solar systems - a study case, Kosovo

Hoxha¹,

Selimaj²,

Krasniqi³

et al. 2019

IJPEDS

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<p>Nowadays the main goal of sustainable energy supply is the use of renewable energy sources and, in addition, the increased efficiency of the energy used. One possibility of using renewable energies is the use of solar energy through photovoltaic panels. Taking into account the meteorological characteristics of the country in which the study takes place, it appears that the use of photovoltaic panels will be available most of the time during the year. We applied a model of hybrid solar collectors for maintaining the cell temperature near 25°C by introducing a flat plate cover integrated with solar cells. This method represents a way to increase the efficiency of the solar collector. This will enable the production of electricity from the part of the photovoltaic panel incorporated into the solar collector, in which the water temperature will increase, and this heat from the water is due to the effect of sunlight and as a result of cooling the part of the photovoltaic panel. This represents an increase in the efficiency of the system and the main purpose of our analysis.</p>

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“…Recently, power generation from solar photovoltaic (PV) power plants has grown drastically in response to energy demand and the environmental concerns related to CO2 emissions from fossil fuel consumption [1]. The sunny countries with large unpopulated areas such as countries in the Middle East, Northern Africa, the United States, India, and Australia are the favorite candidates to build vast solar PV systems [2,3]. Nevertheless, the environment in the solar-rich countries has a considerable rate of dust in the ambient air due to the barren lands and arid weather which substantially reduces the energy output of the solar PV systems [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…Many studies investigate the impact of soil and dust accumulation on the performance of PV systems in the Middle-East [3,8,9]. Atwan et al [6] investigated the dust accumulation impact in Iraq environment conditions, the dust losses reached 66% in April 2008 which has led to huge power losses.…”

mentioning

confidence: 99%

Experimental study for the effect of dust cleaning on the performance of grid-tied photovoltaic solar systems

Kasim¹,

Obaid²,

Abood

et al. 2021

IJECE

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One of the challenges facing investment in photovoltaic (PV) energy is the accumulation of dust on the surface of the PV panels due to frequent dust storms in many countries, including Iraq. Surface dust particles reduce solar irradiance which declining the electrical performance of the PV solar systems. Therefore, this paper proposes an experimental study to analyze and evaluate the power efficiency of a PV system installed in Baghdad city, Iraq. The performance of dusty solar PV array is compared with that of the clean array of the same PV system. The clean solar array is equipped with an automatic-sprayer cleaning system that is powered by the PV system. The automatic cleaning system utilized in the test system reduces human effort by cleaning the PV array using closed-cycle water with low energy consumption (less than 10 Wh). The PV array under test is part of a 15 kW grid-tied PV system. The experimental results show significant improvement in the performance parameters of efficiency, performance ratio, and the energy gain compared to the clean array. Furthermore, the experimental study contributes to a reduction in CO2 emission, which is substantial for the Iraqi environment that suffers from predominate fossil-fuel power plants.

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Enhancement of On-grid PV System under Irradiance and Temperature Variations Using New Optimized Adaptive Controller

Cited by 18 publications

References 13 publications

Adaptive dynamic programming algorithm for uncertain nonlinear switched systems

Adaptive dynamic programming algorithm for uncertain nonlinear switched systems

Cogeneration of energy in solar systems - a study case, Kosovo

Experimental study for the effect of dust cleaning on the performance of grid-tied photovoltaic solar systems

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