Enhanced leader adaptive velocity particle swarm optimisation based global maximum power point tracking technique for a PV string under partially shaded conditions

Mathi, Dileep Krishna; Chinthamalla, Ramulu

doi:10.1049/iet-rpg.2019.0575

Cited by 19 publications

(9 citation statements)

References 26 publications

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“…Simulation studies of the APSO‐NM hybrid method are performed under three different shading conditions. The proposed algorithm is compared with the DMJaya, 43 CSA, 16 PSO, 44 APSO, 31 and NM 32 under similar shadings to validate the results. Figures 6–11 depict the simulation results of all the six algorithms under three different shading patterns.…”

Section: Simulation Resultsmentioning

confidence: 99%

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An effective maximum power point tracking technique for partially shaded photovoltaic system under rapidly changing atmospheric conditions

Reddy

Robinson

2022

Circuit Theory & Apps

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Partial shading is an unavoidable severe problem experienced by a photovoltaic system. The P‐V characteristics are highly non‐linear and exhibit multiple peaks under partial shading conditions (PSC). The conventional MPPT techniques are unable to track global maximum power point (GMPP) under PSC. Various bio‐inspired optimization methods employed for MPPT were presented in the literature. The operation of each algorithm differs from one another when tracking the GMPP. Therefore, this paper proposes a hybrid of adaptive particle swarm optimization (APSO) and Nelder Mead (NM) in searching for the global maximum power point. In this hybrid method, the unnecessary movement of APSO particles is minimized, leading to rapid convergence without the local trapping of the NM process. Thus, the proposed algorithm can balance both explorations by APSO and exploitation by NM. Extensive simulations are performed using Matlab/Simulink, which shows that this method successfully tracks global power under various shading patterns. The proposed method is compared with existing advanced optimization algorithms. Further validation is done via experimental analysis, and it confirms that the proposed method performs better in tracking maximum global power, less steady‐state oscillations, and fast‐tracking speed. The results demonstrate the effectiveness of proposed method in tracking GMPP with an average efficiency of 99.32% and an average tracking time of 0.513 s.

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Section: Simulation Resultsmentioning

confidence: 99%

“…In Chao et al, 30 the improved PSO algorithm exhibits a faster convergence speed. Adaptive PSO (APSO) 31 is an improved PSO form that tracks global maxima accurately without any premature convergence. However, APSO falls behind in tracking GMPP with more number iterations and convergence time.…”

Section: Introductionmentioning

confidence: 99%

An effective maximum power point tracking technique for partially shaded photovoltaic system under rapidly changing atmospheric conditions

Reddy

Robinson

2022

Circuit Theory & Apps

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“…Utilizing chaos maps, other researchers [37][38] improved the FPA's efficiency. To identify the GMPP throughout PSC, [39] employed an enhanced leader adaptive velocity PSO. Five series-connected modules were subjected to the bat algorithm (BA) proposed by [40] which involved multiple shade patterns.…”

Section: Introductionmentioning

confidence: 99%

An Effective Falcon Optimization Algorithm Based MPPT Under Partial Shaded Photovoltaic Systems

Alshareef

2022

IEEE Access

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Uncertain conditions involving partial shading can be found in large-scale solar photovoltaic (PV) systems. There is a possibility that the performance of the PV system will suffer as a result of partial shading conditions (PSCs) because it creates multiple peaks in the power-voltage (P-V) characteristics. Nevertheless, for the photovoltaic system to be utilized in the most effective manner, it needs to be run at a global maximum power point (GMPP). A new strategy based on the falcon optimization algorithm (FOA) is introduced in this paper for the monitoring of GMPP. The perturb and observe (P&O) and the Particle swarm optimization (PSO) techniques have certain drawbacks that can be resolved using a new optimization method known as the FOA. These limitations include a lower convergence speed and steady-state oscillations. The tracking performance of the proposed method is evaluated and compared to that of three MPPT algorithms, namely grey wolf optimization (GWO), PSO and P&O, for a PV array that is functioning under PSCs and displaying numerous peaks. An implementation of the proposed FOA-MPPT algorithm on a PV system was carried out with the help of MATLAB/SIMULINK. Simulation tests conducted under a variety of partial shading patterns reveal that the proposed FOA outperforms all three MPPT algorithms: GWO, PSO, and P&O. Simulation results show that the MPPT efficiency of FOA in four different partial shading conditions is 99.93 %, 99.82 %, 99.80 %, and 99.81 %, Furthermore, the simulation results show that the tracking time of proposed FOA in four different partial shading conditions is 0.4 s, 0.41 s, 0.39 s, and 0.41 s, respectively. Moreover, the proposed FOA is tested using actual and measurable data from Neom, Saudi Arabia. According to the simulation results, the proposed FOA generates significantly more revenue than other compared algorithms.INDEX TERMS Falcon optimization algorithm (FOA), Maximum power point tracking (MPPT), Partial shading conditions (PSCs), Photovoltaic system

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“…One DC/DC converter is set for each PV module, and the cascading multiple structures satisfies the voltage level requirement and can achieve a high efficiency of about 97%. However, the output power of each PV module flows entirely through the respective converter, leading to large current stress, power loss, and construction cost [20][21][22][23]. Combining these two solutions, the dual MPPT inverters with string modules are also widely applied, and the problems, including the output characteristic curve of the PV array with multiple peaks and an excessive loss of converter need to be considered simultaneously.…”

Section: Introductionmentioning

confidence: 99%

A Novel Cascaded Modular Photovoltaic Energy Storage System for Partial Shading Conditions

Fan

Fang

et al. 2021

Applied Sciences

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To satisfy the grid-connected voltage level, both photovoltaic modules and energy storage modules are connected in series. However, the multiple photovoltaic modules often fall into local maximum power point under partial shading conditions during practical operation, and the multiple energy storage modules may suffer from a reduction in the effective capacity caused by characteristic differences among modules. To solve this problem, a novel cascaded modular photovoltaic-energy storage system is proposed in this paper. In the proposed topology, the energy storage modules achieve maximum power point tracking of the corresponding distributed photovoltaic module, and the proposed energy optimization strategy based on particle swarm optimization can ensure the efficient constant active power transmission from a photovoltaic energy storage (PV/ES) system to the grid in a certain time period under capacity constraints. Compared with conventional photovoltaic systems, the proposed scheme can avoid hot spots or the hot strings phenomena for PV modules and the large current and voltage stresses for DC/DC converters. Furthermore, the proposed energy optimization strategy for the coordination of all ES modules can realize the independent MPPT of each PV module and the constant active power between the PV/ES system and the grid under inconsistency of the light intensity under partial shading conditions. A hardware-in-loop photovoltaic-energy platform is established to verify the feasibility and effectiveness of the proposed topology and control strategy, and the proposed system achieves efficiency of about 97% under partial shading conditions, thus providing an effective and practical solution for power generation system.

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Enhanced leader adaptive velocity particle swarm optimisation based global maximum power point tracking technique for a PV string under partially shaded conditions

Cited by 19 publications

References 26 publications

An effective maximum power point tracking technique for partially shaded photovoltaic system under rapidly changing atmospheric conditions

An effective maximum power point tracking technique for partially shaded photovoltaic system under rapidly changing atmospheric conditions

An Effective Falcon Optimization Algorithm Based MPPT Under Partial Shaded Photovoltaic Systems

A Novel Cascaded Modular Photovoltaic Energy Storage System for Partial Shading Conditions

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