An effective maximum power point tracker for partially shaded solar photovoltaic systems

Premkumar, M.; Sowmya, R.

doi:10.1016/j.egyr.2019.10.006

Cited by 69 publications

(43 citation statements)

References 27 publications

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“…In reference [17] a modified P&O MPPT algorithm is proposed for accurate detection of PSC, which stabilizes the system output voltage without compromising the power efficiency. Reference [18] proposed an algorithm that is based on bio-inspired Whale Optimization. This algorithm eliminates the computational burden faced by the hybrid MPPT algorithms as discussed in various references and reduces the power oscillation during the change in operating conditions.…”

Section: Characteristics Analysis Of Pv Modulementioning

confidence: 99%

Maximum Power Point Tracking Technology of Photovoltaic Array under Partial Shading Based On Adaptive Improved Differential Evolution Algorithm

Zhang

Sui

2020

Energies

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In the case of partial shading conditions, there will be more than one maximum power point (MPP) in photovoltaic (PV) array. The traditional maximum power point tracking (MPPT) methods are easy to get in the local maximum power point (LMPP) and fail. Based on the standard differential evolution (DE) algorithm, the mutation strategy, scaling factor F, and cross factor CR of the algorithm are optimized. Also, the population position variance δ 2 is used to prevent falling into LMPP. Finally, the conditions for algorithm termination and restart are set. It is verified by simulation that the method has fast convergence speed, high accuracy, and can adapt well to changes in the external environment. The improved DE algorithm has a great advantage in MPPT.Energies 2020, 13, 1254 2 of 15 model and has strong robustness. However, it is difficult to establish a fuzzy rule because it needs to accumulate a lot of operation experience of power point tracking. In references [11,12], neural networks are used to track the MPP. This method also requires the distribution of power extremum points under many different shadows, so it is not practical. In references [13,14], Fibonacci is used to track the GMPP; this method also depends on the learning to the peak distribution, and it is easy to fall into LMPP. Reference [15] proposed a dichotomy, the first step is to find the vicinity of GMPP, and the second step is to use traditional MPPT method to track MPPs, but the dichotomy will fail in the case of complex shading. Reference [16] proposed a MPPT method using shading detection and the trend of slopes from each section of the curve. After the short-term and long-term testing, this method shows the advantages of high precision and short tracking time. In reference [17] a modified P&O MPPT algorithm is proposed for accurate detection of PSC, which stabilizes the system output voltage without compromising the power efficiency. Reference [18] proposed an algorithm that is based on bio-inspired Whale Optimization. This algorithm eliminates the computational burden faced by the hybrid MPPT algorithms as discussed in various references and reduces the power oscillation during the change in operating conditions. Reference [19] proposed a modified P&O MPPT that can be used under PSC effectively, by integrating the Artificial Bee Colony algorithm in the first stage and P&O algorithm in the second stage. However, the algorithm needs many parameters to be adjusted, which is not conducive to control.Based on the advantages and disadvantages of the above methods, the DE algorithm is used to optimize the output of PV array. DE only needs two adjustable parameters. Firstly, according to the method proposed in reference [20], the initial positions of particles are selected near the voltages corresponding to the possible MPPs to avoid falling into the LMPP. The mutation direction, mutation operator, and crossover operator of particles are optimized based on the traditional DE algorithm.

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Section: Characteristics Analysis Of Pv Modulementioning

confidence: 99%

Maximum Power Point Tracking Technology of Photovoltaic Array under Partial Shading Based On Adaptive Improved Differential Evolution Algorithm

Zhang

Sui

2020

Energies

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“…The hybrid algorithm proposed by [33] is based on a WO which predicts the initial GMPP and is followed by P&O in the final stage to achieve a quicker convergence to a GMPP. Thus, this hybrid algorithm overcomes the computational burden encountered in a standalone WO, grey wolf optimization (GWO) and hybrid GWO.…”

Section: Hybrid Whale Optimization (Wo) and Pando Mppt Techniquementioning

confidence: 99%

Certain Study on MPPT Algorithms to track the Global MPP under Partial Shading on Solar PV Module/Array

Premkumar¹,

Sowmya²

2019

IJCDS

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The maximum power point tracking (MPPT) algorithms are used in PV power generation systems to handle the effect due to the partially shaded conditions. This paper confers the algorithms, modeling techniques, and control topologies of photovoltaic (PV) array systems are explored. The problems with conventional MPPT algorithms can be solved by applying various modern optimization algorithms that extract the maximum power from the solar panels. Various reliable techniques are discussed to identify the maximum power point globally. However, each method has advantages and limitations and, this paper presents reviews and findings from the existing optimized methods. The optimized algorithms presented in the various literatures are studied and analyzed. The hybrid MPPT algorithms are also discussed to present its effectiveness in tracking the maximum power point (MPP). The challenges in selecting a proper algorithm for partially shaded PV array are deliberated. Finally, the comparison between the standalone algorithms and the hybrid algorithms are presented for future research.

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“…At the initial stage, the ANN locates the GP, and finally, P&O locates the peak operating point by controlling the duty cycle of the converter. The WOA algorithm is combined with the P&O to reduce the steady-state oscillation with a better convergence rate under a change in operating conditions [27]. The WOA locates the GP at the initial stage, and the P&O algorithm finds the optimal operating point to achieve a higher convergence rate.…”

Section: Introductionmentioning

confidence: 99%

A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems

Premkumar¹,

Kumar²,

Sowmya

et al. 2020

Automatika

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The photovoltaic (PV) systems must work at the maximum power point (MPP) to derive the highest possible power with the higher performance during a change in operating conditions. The primary objective is to implement a novel hybrid tracking algorithm to extract the maximum output power from the solar PV panel or array under partial shading conditions (PSCs). This hybrid MPP tracking algorithm is based on the salp swarm algorithm (SSA), which finds the initial global peak (GP) operating point and is followed by the perturb and observation (P&O) algorithm in the last stage to realize a faster convergence rate. Thus, the computational burden met by the conventional methods such as standalone P&O, hybrid grey-wolf-optimization (HGWO), and hybrid whale-optimization algorithm (HWOA) algorithm reported in the literature is overcome by the proposed hybrid SSA algorithm called HSSA. The P&O algorithm searches the MPP in the projected search space by the SSA algorithm. The proposed hybrid algorithm is simulated using MATLAB/Simulink simulation tool to validate the effectiveness of tracking the MPP. The hybrid SSA is compared with the standalone P&O, hybrid WOA, and hybrid GWO, and from the simulation results, it is proved that the hybrid tracking algorithm exhibits a high tracking performance.

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An effective maximum power point tracker for partially shaded solar photovoltaic systems

Cited by 69 publications

References 27 publications

Maximum Power Point Tracking Technology of Photovoltaic Array under Partial Shading Based On Adaptive Improved Differential Evolution Algorithm

Maximum Power Point Tracking Technology of Photovoltaic Array under Partial Shading Based On Adaptive Improved Differential Evolution Algorithm

Certain Study on MPPT Algorithms to track the Global MPP under Partial Shading on Solar PV Module/Array

A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems

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