Modified hill climbing MPPT algorithm with reduced steady‐state oscillation and improved tracking efficiency

Zhu, Wei-Ping; Shang, Liqun; Li, Pengwei; Guo, Hangchen

doi:10.1049/joe.2018.8337

Cited by 77 publications

(36 citation statements)

References 18 publications

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“…However, the currentvoltage(I-V) characteristics of PV arrays are nonlinear and have a unique optimal voltage on the curve of powervoltage(P-V), which produces maximum power point(MPP). The progress of finding the optimal voltage is regarded as maximum power point tracking(MPPT) [4]- [6]. Recent years, MPPT methods, consisting of two general categories, namely traditional methods and intelligent methods, have attracted to domestic and foreign researchers [7], [8].…”

Section: Introductionmentioning

confidence: 99%

A Modified Hybrid Maximum Power Point Tracking Method for Photovoltaic Arrays Under Partially Shading Condition

Zhang

Zhou

et al. 2019

IEEE Access

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To ensure the photovoltaic (PV) arrays under partial shading condition(PSC) could still output maximum power quickly and efficiently, this work presents a modified hybrid maximum power point tracking (MPPT) method, which applies artificial neural network (ANN) to the modified perturb and observe (MP&O). Instead of using expensive illumination intensity sensors directly, the illumination intensity on each module in the PV array can be obtained indirectly by sampling the specific points of their own cheaper voltage-current sensors. ANN uses indirect illumination intensity to predict the optimal voltage areas of the global maximum power point (GMPP). Based on the areas, MP&O adopts a adaptive step size strategy to obtain GMPP. By modeling and simulation in Matlab/Simulink, it is shown that the tracking time and efficiency of the proposed method in this work can reach 0.026s and 99.87% respectively. Compared with other methods, the method has faster speed, higher efficiency, smaller fluctuation and lower complexity.

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Section: Introductionmentioning

confidence: 99%

A Modified Hybrid Maximum Power Point Tracking Method for Photovoltaic Arrays Under Partially Shading Condition

Zhang

Zhou

et al. 2019

IEEE Access

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“…Conventional MPPT techniques like perturb and observe [1], hill climbing [2], [3], fuzzy logic controller [4], and incremental conductance [5] maybe trapped at one of the LPs of the P-V curves which is one of the biggest problems associated with these techniques. Metaheuristic techniques provide significant advantages compared to these conventional techniques such as, simple implementation, the ability to follow the GP under different operating conditions, and faster convergence.…”

Section: Introductionmentioning

confidence: 99%

A Novel Bat Algorithm Strategy for Maximum Power Point Tracker of Photovoltaic Energy Systems Under Dynamic Partial Shading

2020

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Power versus voltage curves of partial shading photovoltaic (PV) systems contain several local peaks (LPs) and one global peak (GP). Most conventional maximum power point tracker (MPPT) techniques may not follow the GP under partial shading conditions (PSC). The use of metaheuristic techniques such as the bat algorithm (BA) and particle swarm optimization (PSO) can overcome these obstacles. All problems inherent in the using of BA as MPPT of PV systems has been discussed and solved in this paper. The first problem is the random initial values of bats that may cause premature convergence. Therefore, the initial values of bats were modified to be close to the anticipated positions of peaks to reduce the convergence time and improve the chance of capturing the GP. The second problem occurs when shading pattern changes the value and position of the GP which is not configurable because all bats are concentrated at the previous GP; this can be resolved by BA re-initialization. The the third problem is the GP memorized in the execution of the BA code forces the PV system to work at the duty ratio of the highest GP ever seen, which may not be the real GP. This problem is solved by updating the memorized GP. This paper also proposes a new criterion for selecting the optimal swarm size against number of peaks to reduce the convergence time and improve the chance of capturing the GP. To the authors' knowledge, most of these problems inherent in the BA have hitherto not been addressed in the literature. The simulation and experimental results obtained from the proposed modified BA (MBA) with re-initialization have been compared to the PSO and grey wolf optimization (GWO) techniques which show the superiority of using MBA strategy in the MPPT of partial shading PV systems. INDEX TERMS Bat algorithm, boost converter, dynamic global peak, maximum power point tracker, partial shading conditions, PV system.

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“…These techniques vary in some general parameters such as complexity, accuracy, cost and speed. Among these, Hill climbing (HC) [5] and perturb and observe (P&O) [6] are the most common used algorithms due to the ease of implementation and their simple control mechanisms. These two algorithms showed a similar fundamental approach to achieve the MPP.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Evolutionary-Based MPPT for Photovoltaic Systems Under Partial Shading Conditions

et al. 2020

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Under partial shading conditions (PSCs), photovoltaic (PV) system characteristics vary and may have multiple power peaks. Conventional maximum power point tracking (MPPT) methods are unable to track the global peak. In addition, it takes a considerable time to reach the maximum power point (MPP). To address these issues, this paper proposes an improved hybrid MPPT method using the conventional evolutional algorithms, i.e., Particle Swarm Optimization (PSO) and Differential Evaluation (DE). The main feature of the proposed hybrid MPPT method is the advantage of one method compensates for shortcomings of the other method. Furthermore, the algorithm is simple and rapid. It can be easily implemented on a low-cost microcontroller. To evaluate the performance of the proposed method, MATLAB simulations are carried out under different PSCc. Experimental verifications are conducted using a boost converter setup, an ET-M53695 panel and a TMS320F28335 DSP. Finally, the simulation and hardware results are compared to those from the PSO and DE methods. The superiority of the hybrid method over PSO and DE methods is highlighted through the results.

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Modified hill climbing MPPT algorithm with reduced steady‐state oscillation and improved tracking efficiency

Cited by 77 publications

References 18 publications

A Modified Hybrid Maximum Power Point Tracking Method for Photovoltaic Arrays Under Partially Shading Condition

A Modified Hybrid Maximum Power Point Tracking Method for Photovoltaic Arrays Under Partially Shading Condition

A Novel Bat Algorithm Strategy for Maximum Power Point Tracker of Photovoltaic Energy Systems Under Dynamic Partial Shading

A Hybrid Evolutionary-Based MPPT for Photovoltaic Systems Under Partial Shading Conditions

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