Adaptability Analysis of Particle Swarm Optimization Variants in Maximum Power Tracking for Solar PV Systems
01 Jan 2020-pp 397-409
TL;DR: A comparative study has been presented for different variants of PSO based on power oscillation and catching peak through MATLAB simulations to observe their adaptability for different irradiance conditions such as uniform irradiance, strong shading and weak shading.
Abstract: In upcoming years, energy generated through solar which plays a vital role in power generation has gained importance. The key problem in solar generation is to extract maximum power from solar photovoltaic module at all weather conditions. But due to partial shading conditions caused by bird droppings, soil accumulation and cloud formation, it leads to multiple local peaks making the tracking complex. Since, PSO has gained its significant popularity in the area, maximum power point tracking under partial shading conditions. Analysis of PSO and variants to observe their adaptability for different irradiance conditions such as uniform irradiance, strong shading and weak shading. In this article, a comparative study has been presented for different variants of PSO. The results are analysed based on power oscillation and catching peak through MATLAB simulations.
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01 Jan 2021
TL;DR: In this article, power electronic converter technologies are used to convert the one form of energy to other energy or vary the energy range as per the load requirement, which is the only choice to fulfill the requirements in the power system.
Abstract: Renewable energy resources like sun, wind, biomass, geothermal, etc., are abundant in nature, toxic-free, and eco-friendly. Those are sufficient to meet the energy demands which are required by the consumers. Solar photovoltaic energy is one of the clean renewable energies among others. A solar photovoltaic system is gaining popularity as compared to other non-conventional sources because of the sufficient solar irradiation received by the earth. Moreover, the costs of PV modules have been declining. PV system has been included with PV panels, batteries, or any other storage devices as well as power electronic converters. Power electronic converter systems are the only choice to fulfill the requirements in the power system. Therefore, this work aims to discuss the power electronic converter technologies that can be used as interfaces and discuss their merits and demerits. Power electronic converter technologies are used to convert the one form of energy to other energy or vary the energy range as per the load requirement
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TL;DR: In this article, a state of the art review on various maximum power point techniques for solar PV systems covering timeworn conventional methods and latest soft computing algorithms is presented to date critical analysis on each of the method in terms of tracking speed, algorithm complexity, dynamic tracking under partial shading and hardware implementation is not been carried out.
Abstract: In recent years solar energy has received worldwide attention in the field of renewable energy systems Among the various research thrusts in solar PV, the most proverbial area is extracting maximum power from solar PV system Application dof Maximum Power Point Tracking (MPPT) for extracting maximum power is very much appreciated and holds the key in developing efficient solar PV system In this paper, a state of the art review on various maximum power point techniques for solar PV systems covering timeworn conventional methods and latest soft computing algorithms is presented To date critical analysis on each of the method in terms of (1) tracking speed, (2) algorithm complexity, (3) Dynamic tracking under partial shading and (4) hardware implementation is not been carried out In this regard the authors have attempted to compile a comprehensive review on various solar PV MPPT techniques based on the above criteria Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for practicing engineers as well as for new researchers
358 citations
TL;DR: An improved PSO variant, with enhanced leader, named as enhanced leader PSO (ELPSO) is used and results confirm that in most of the cases, ELPSO outperforms conventional PSO and a couple of other state of the art optimisation algorithms.
215 citations
TL;DR: This paper presents a variant of single-objective PSO called Dynamic Neighborhood Learning Particle Swarm Optimizer (DNLPSO), which uses learning strategy whereby all other particles' historical best information is used to update a particle's velocity as in CLPSO.
182 citations
TL;DR: In this article, the authors classified the existing MPPT strategies into two main categories and the strategies of each category are reviewed based on the conducted review, some directions for future research are recommended.
Abstract: The penetration of photovoltaics (PV’s) in electric power generation is continually increasing. Tracking maximum power point in PV systems is an important task and represents a challenging problem. In maximum power point tracking (MPPT), the duty cycle of DC-DC converter is adjusted in a way that maximum achievable power is extracted from PV system. In this paper, the existing MPPT strategies are classified into two main categories and the strategies of each category are reviewed. Based on the conducted review, some directions for future research are recommended. The author strongly believes that this paper will be helpful for researchers and engineers in the field of PV systems.
119 citations
TL;DR: In this article, a review report on common MPPT techniques used for solar and wind applications for hybrid power generation have not yet been reported and an economic analysis is arrived for MPPT methods based on (i) Capacity utilization factor (ii) Cost (iii) Energy savings (iv) payback period (v) Income generated and (vi) stability.
Abstract: Increased penetration of wind and solar PV system in Distributed Generation (DG) and isolated micro grid environment necessitates the use of maximum power point tracking method for wind and solar PV resources. Considering the change in environmental conditions and non-linearity, a variety of publications reporting various MPPT algorithms for solar and wind energy systems are put forward in recent times. But the review reports on common MPPT techniques used for solar and wind applications for hybrid power generation have not yet been reported. Hence, in this paper, conventional techniques and artificial intelligent techniques found extensively used in the power generation platform are peerly reviewed and compared. Historical MPPT methods like Perturb & Observe (P&O) / Hill Climbing, Incremental Conductance (INC), Fuzzy and Neural Network methods benchmarked in MPPT province are comprehensively compared in a common platform. In addition to the common existing techniques, recent swarm intelligence and bio-inspired techniques in solar PV and sensor less adaptive techniques in wind MPPT are also been reviewed provided for quality assessment. Finally an economic analysis is arrived for MPPT methods based on (i) Capacity utilization factor (ii) Cost (iii) Energy Savings (iv) payback period (v) Income generated and (vi) stability.
92 citations