A novel photovoltaic system control strategies for improving hill climbing algorithm efficiencies in consideration of radian and load effect

Liu, Hwa Dong; Lin, Chang‐Hua; Pai, Kai Jun; Lin, Yu Liang

doi:10.1016/j.enconman.2018.03.081

Cited by 40 publications

(18 citation statements)

References 21 publications

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“…Each controller designed is characterized by its specific yield, efficiency and implementation cost and complexity. Among these methods, there are the classical ones such as perturb and observe (P&O) [2], incremental conductance (INC) [3] and hill climbing [4], these methods are simple and easiest to implement, but their great drawback is their fluctuations around the maximum power point which influences the accuracy and rapidity of the system [5].…”

Section: Introductionmentioning

confidence: 99%

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Ahmed¹,

Cherkaoui²,

Mokhlis³

2020

IJIES

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The effect of partial shading has a strong influence on the production of photovoltaic solar systems. In fact, when this phenomenon occurs, several power peaks appear on the power-voltage curve (P, V). These peaks are divided between the local maxima and a global maximum. This latter presents the superior maximum compared to the local maxima. Therefore, in this case, the conventional MPPT methods such as Incremental Conductance (INC) and Perturb and Observe (P&O) do not have the ability to detect and track the highest peak. Thus, this causes the important loss of power. To overcome this issue, this study focusses on the design of a new method able to distinguish the global maximum power point (GMPP). This method is composed of two loops of control, the particle swarm optimization (PSO) and the sliding mode controller (SMC). The first loop, which consists of PSO, sweeps the power-voltage curve by looking for the GMPP, after that generates the reference of corresponding optimal voltage. While the second loop is designed to track the voltage reference by acting on the duty cycle of the SEPIC converter. This method is characterized by its robustness against the parameters' changes and the modeling error thanks to the SMC controller designed. In addition, the PSO used improves efficiency of the PV modules subjected to the non-uniform meteorological conditions. The simulation results show the rapidity and accuracy of the proposed method for localizing and tracking the global power maximum. In fact, according to the results, the proposed controller has a convergence time about 63ms depending on the shading pattern. Moreover, it is able to detect the meteorological conditions change. To prove the advantages of the proposed technique, this one is compared with the hybrid controllers those composed of P&O and INC combined with BSC and SMC controllers.

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Section: Introductionmentioning

confidence: 99%

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Ahmed¹,

Cherkaoui²,

Mokhlis³

2020

IJIES

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“…The increased worries of nature and growing demand for energy as well as the world attention to global warming have induced thinking to find clean resources for energy, renewable energy that varies as wind, geothermal, hydro, solar and bioenergy. PV energy is one of such energy resources, which its importance has increased due to its inexhaustible nature, cleanness, scalability in power and low maintenance required [1].…”

Section: Introductionmentioning

confidence: 99%

“…There is a diversity of reasons that impact the amount of power generated by the PV array like atmospheric temperature, solar irradiation, the dust accumulated at the surface of the panel and the configuration of the electrical connection of the panels in the array. Considerably, power extraction and the efficiency of the PV system are affected by changing weather and partial shading conditions (PSC) [1]. By applying various approaches, the effect of the factors above on maximum power generation can be reduced; MPPT techniques are one of these approaches, it has employed to extract the maximum power and enhance the efficiency of the PV system.…”

Section: Introductionmentioning

confidence: 99%

“…Varieties of MPPT algorithms have been used and tested; the most common are fractional short circuit current, P&O, fractional open circuit voltage [3], hill climbing (HC) algorithm [1] and incremental conductance (Inc. Cond.)…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, reduced energy and lower efficiency will yield. The second drawback is the divergence from MPP when a sudden change in weather conditions occur and will fail to track MPP, which leads to a loss of energy [1]. Furthermore, to obtain an accurate MPPT algorithm, soft computing innovations like FL and ANFIS as an intelligent technique is chosen due to its capability to deal with the non-linear and non-exact mathematical model [2].…”

Section: Introductionmentioning

confidence: 99%

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Maximum power point tracking using perturb and observe, fuzzy logic and ANFIS

et al. 2019

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The main objective of this project is to investigate the performance conventional method of perturb and observe (P&O) and soft computing techniques (fuzzy logic and adaptive neuro-fuzzy inference system) of maximum power point tracking (MPPT) for photovoltaic (PV) module. In this paper, the MSX-64 PV module and boost DC-DC converter are used for simulation and modeling the MPPT system. This work demonstrates the performance of those three types of MPPT techniques, which subjected to a partial shading pattern as well as a non-shaded and shaded of real weather profile. These MPPT techniques are compare in terms of power extracted, MPPT efficiency, rise time, its ability to track global maximum power point (MPP), and the response to varied weather. Simulation results of soft computing MPPT techniques have shown the ability to track the MPP during partial shading conditions and the response to weather changes when nonshaded real weather profile applied to the system. The performance of the conventional P&O based MPPT has depicted the failure of this controller to track the global MPP during partial shading and lack response to real weather changes. The proposed system has simulated using MATLAB SIMULINK.

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CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system

Sundararaj

Anoop

Dixit

et al. 2020

Progress in Photovoltaics

173

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In general, the photovoltaic (PV) is considered as the best selection among renewable energy resources due to its nonpolluted operation and good flexibility condition. The PV system is affected because of the partial shading conditions (PSCs), which reduce the generated power. During steady-state operating conditions, there occurs a time delay in tracking the Global maximum power point (GMPP) and Local maximum power point (LMPP) under PSCs using the perturb and observe (P&O) method. In order to overcome such shortcomings, this paper proposed a hybrid algorithm with a P&O technique to improve the maximum power point tracking (MPPT) for the PV system under PSC. In addition to this, the P&O technique is utilized to achieve the LMPP in the first section, and the hybrid algorithm is utilized to achieve the GMPP in the second section. Here, the hybrid technique is the integration of Cauchy preferential crossover (CC) with the flower pollination algorithm (FPA). Furthermore, the exploitation ability of the FPA is enhanced by the CC, and the combined hybrid algorithm has the ability to produce the optimal duty cycle for the DC-DC boost converter for MPPT. Then the proposed method will be executed in MATLAB/Simulink model, and it is contrasted with the existing methods such as CC, current sensorless (CS), and FPA, respectively. The experimental results and analysis reveal that the proposed approach provides better performances when compared with several other metaheuristic algorithms. K E Y W O R D S crossover, DC to DC boost converter, global maximum power point, global pollination, local maximum power point, photovoltaic, PSC 1 | INTRODUCTION Due to the rapid growth and expansion in business as well as the consistently increasing refinement of existing ways of living, the world supply energy is exposed to a huge strain. This wonder creates uncertainties over energy security as well as environmental sustainability. 1,2 Besides, the problem of climatic changes and it is necessary to reduce carbon impressions has added to the solid force for organizations and countries to put resources into elective energy sources, especially renewable energy (RE). Solar energy is a standout among the most vital RE sources, rather than regular unrenewable assets, for example, fuel and coal. 3 Solar energy is spotless, limitless, and free. The primary utilization of photovoltaic (PV) frameworks is said to be a stand-alone (military, street and residential lighting, electric vehicles space applications, and water pumping). Despite these

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A novel photovoltaic system control strategies for improving hill climbing algorithm efficiencies in consideration of radian and load effect

Cited by 40 publications

References 21 publications

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

PSO-SMC Controller Based GMPPT Technique for Photovoltaic Panel Under Partial Shading Effect

Maximum power point tracking using perturb and observe, fuzzy logic and ANFIS

CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system

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