Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach

By M. Miyatake, Mummadi Veerachary, Fuhito Toriumi, Nobuhiko Fujii, H. Ko. IEEE Transactions on Aerospace and Electronic Systems, 2011

570 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/65691bf5adeda8231bc00ce22c1d3f2c5538a8e3

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Citations in the corpus

Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method (2015, methodology): “In comparison with the standard PSO discussed in [26] and [27], the proposed method is accurate and reliable because it modifies the poor characteristics of PSO.”
A Novel MPPT Algorithm Based on Particle Swarm Optimization for Photovoltaic Systems (2017, methodology): “In accordance with [16] and real-time investigational explorations, the approach to conquering these restrictions and to attaining better tracking performance, is to employ excessive values for ΔV and ΔP, which must be avoided to warrant MPPT stability.”
A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Tracking (2017, methodology): “successful swarm-based method implemented for MPPT application is the particle swarm optimization (PSO) method [23], [24].”
Photovoltaic Power-Increment-Aided Incremental-Conductance MPPT With Two-Phased Tracking (2013, background): “To date, although some control means, such as extremum control based on ripple current [20], [24], tracking under partial shadow [17], [19], tracking with optimum sampling rate [8], and even optimum parameter selection [16] were successively proposed to enhance the P&O MPPT ability [9].”
Improved particle swarm optimization for maximum power point tracking in photovoltaic module arrays (2015, methodology): “Although the method in [34] tracks global maximum power points effectively under conditions of varying amounts of shade, this method can be applied only to systems containing multiple converters.”
Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Conditions and Load Variation (2014, background): “Yet, in addition to the long processing time in perturbing and storing all the possible MPPs, the use of fuzzy logic also involves complicated fuzzification and defuzzification.”
A New Technique for Tracking the Global Maximum Power Point of PV Arrays Operating Under Partial-Shading Conditions (2012, methodology): “The values of the parameters affecting the operation of the PSO and DE algorithms (e.g., number of agents in the PSO method, termination criterion, etc.) have been set as described in [23] and [25], respectively.”
Control and Circuit Techniques to Mitigate Partial Shading Effects in Photovoltaic Arrays (2012, background): “The velocity veli , with which the ith agent proceeds at the kth iteration, is determined by the agent’s previous best solution pbest and the best solution of the group of agents gbest [61].”
Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony (2015, methodology): “The PSO method applied to global power point tracking with different shading conditions is shown to guarantee global convergence with judicial choice of initial values [8], [9].”
A Novel MPPT Technique Based on an Image of PV Modules (2017, methodology): “suffer from slow settling time due to the need to scan the power curve [10], [19].”
A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization (2014, background): “[15] have realized centralized MPPT control of modu-”
A Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Systems in Microgrids (2013, background): “global maximum point, resulting in a long computation time to reach the maximum operating point [28].”