Simplified accelerated particle swarm optimisation algorithm for efficient maximum power point tracking in partially shaded photovoltaic systems

Rajendran, Subha; Himavathi, S.

doi:10.1049/iet-rpg.2016.0114

Cited by 52 publications

(43 citation statements)

References 30 publications

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“…Four different algorithms were tested, and the experimental results are shown in Figure 13. The output PV power of the proposed APSO algorithm is about 76.51 W and reaches GMPP within 2.3 s. On the other hand, the standard PSO method arrived to the GMPP with convergence time 4.2 s and with 72.17 W. It takes 3.2 s to acquire the GMPP with Simplified PSO method [36] and PV output power is about 76.39 W. The P&O method got caught in one of the local MPPs and PV output power is about 44.1 W. Table 2 summarized the comparison experimental results of four MPPT algorithm. Scenario 2: In this scenario, PV output has three MPPs, and the GMPP occurs in the highest voltage at V = 32V (As shown in Figure 10).…”

Section: Case Studiesmentioning

confidence: 95%

“…The conventional PSO algorithm took longer time with 4.6 s and GMPP is about 39.44 W (Figure 9b). On the other hand, it takes 3.2 s to reach GMPP using Simplified PSO method in [36] with PV output power 40.37 W (Figure 9c). However, the P&O algorithm got trapped at the right local MPP with 35.87 W (Figure 9d).…”

Section: Case Studiesmentioning

confidence: 99%

“…It was noticed that the proposed APSO algorithm rapidly identifies the GMPP in just 1.9 s, and output power is 73.33 W. Standard PSO algorithm was able to climb to the GMPP within 3 s for the same PV output power. On the other hand, it takes 2.8 s to track GMPP using Simplified PSO method in [36] with PV output power 70.31 W. In this scenario, the P&O algorithm can track the GMPP when its initial duty cycle value is set as 0.2, and the output power is 72.00 W.…”

Section: Case Studiesmentioning

confidence: 99%

“…A hybrid PSO-based MPPT was proposed to identify the global MPP in several nearby peaks [35]. A simplified PSO-based MPPT algorithm is proposed in [36] to simplify the search approach. However, in the abovementioned PSO-based MPPT algorithms, the global MPP searching restarting issue is not discussed, which is required when the shading patterns change.…”

Section: Introductionmentioning

confidence: 99%

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Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions

Alshareef

Lin

et al. 2019

Energies

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This paper presents an accelerated particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm to track global maximum power point (MPP) of photovoltaic (PV) generation under partial shading conditions. Conventional PSO-based MPPT algorithms have common weaknesses of a long convergence time to reach the global MPP and oscillations during the searching. The proposed algorithm includes a standard PSO and a perturb-and-observe algorithm as the accelerator. It has been experimentally tested and compared with conventional MPPT algorithms. Experimental results show that the proposed MPPT method is effective in terms of high reliability, fast dynamic response, and high accuracy in tracking the global MPP.

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Section: Case Studiesmentioning

confidence: 95%

Section: Case Studiesmentioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions

Alshareef

Lin

et al. 2019

Energies

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“…Any multivariable function can be optimized to a maximum or minimum value using this metaheuristic technique. [84][85][86][87][88][89][90][91][92][93] An optimum solution is obtained using the operating particles that move on the search space with a velocity and exchange the information of the fitness using Equations (21) and (22) and graphically shown in Figure 25:…”

Section: Particle Swarm Optimization Techniquementioning

confidence: 99%

A state‐of‐the‐art review on conventional, soft computing, and hybrid techniques for shading mitigation in photovoltaic applications

Kumar

Nema

et al. 2020

Int Trans Electr Energ Syst

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Summary This article intends to present a compendious review to extract maximum power in solar photovoltaic (PV) systems under varying environmental conditions and partial shading conditions by enumerating various circuit‐based topologies and different state‐of‐the‐art maximum power point techniques (MPPT). Partial shading reduces the overall efficiency of the PV system; therefore techniques that are dealing with partial shading play an important part in the power conditioning unit of all PV system connected to the stand‐alone mode or grid mode. Various circuit‐based topologies and various algorithms have been broadly discussed till date. As every algorithm is associated with its own merits and demerit, hence an extensive literature survey is required while planning for PV generating station under normal and partial shading condition. In this article, a comprehensive review of shading mitigation using different topologies has been done. The article on shading mitigation is broadly divided into two major groups. The first group includes all major circuit‐based topologies and the second group includes MPPT based techniques, which has been further classified into modified conventional techniques, soft computing techniques, and hybrid techniques. This comprehensive review presents an assessment of all techniques according to parameters like converter used, tracking speed, complexity, efficiency, number of sensors under partial shading condition would certainly provide a single platform to carry forward their research in solar PV application.

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Evaluation of particle swarm optimization techniques applied to maximum power point tracking in photovoltaic systems

Martínez

Codorniú

Giral

et al. 2021

Circuit Theory & Apps

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SummaryEven with significant progresses in the maximum power point (MPP) research area, the necessity to improve the existing methods becomes mandatory to increase the energy conversion efficiency. Since the power–voltage (P‐V) characteristic curve of photovoltaic (PV) arrays has multiple peaks under partially shaded (PS) conditions, the conventional MPP tracking (MPPT) control methods have the difficult challenge of locate the global MPP (GMPP) among many local MPPs (LMPPs). In recent years, numerous research papers have been focused on techniques to efficiently track the GMPP and alleviate the partial shading effects. One of the most popular evolutionary search technique is particle swarm optimization (PSO) that provides high tracking speed and the ability operate under different environmental conditions. For solving some conventional PSO technique common weaknesses, several modifications and improvements have emerged in the past years. This paper provides a comparative and comprehensive review of some relevant PSO‐based methods taking into account the effects of important key issues such as particles initialization criteria, search space, convergence speed, initial parameters, performance with and without partial shading, and efficiency. The simulation results are validated under numerous test conditions using MATLAB code and Simulink package.

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Simplified accelerated particle swarm optimisation algorithm for efficient maximum power point tracking in partially shaded photovoltaic systems

Cited by 52 publications

References 30 publications

Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions

Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions

A state‐of‐the‐art review on conventional, soft computing, and hybrid techniques for shading mitigation in photovoltaic applications

Evaluation of particle swarm optimization techniques applied to maximum power point tracking in photovoltaic systems

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