Journal Article10.1109/jestpe.2022.3150008
Whale Optimization Algorithm for PV Based Water Pumping System Driven by BLDC Motor Using Sliding Mode Controller
Siva Ganesh Malla,Priyanka Malla,Jagan Mohana Rao Malla,Ruchira Singla,Pallavi Choudekar,Rajesh Koilada,Manoj Kumar Sahu +6 more
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TL;DR: In this article , a hybrid whale optimization-P&O (WOPO) algorithm was proposed to extract the maximum possible power from photovoltaic (PV)-based water pumping system.
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Abstract: Water pumping system (WPS) plays a key role in human civilization, including agriculture, drinking, and industrial usage. To decrease the load demand on grid and provide electrical supply to WPS in rural areas, a locally placed standalone photovoltaic (PV)-based WPS is one of the best feasible solutions. Among many motors, brushless direct current motors (BLDCs) are attractive for WPS due to many advantages. However, integrating batteries to WPS will increase the cost and required maintenance, which will not be affordable for farmers. Hence, PV-fed BLDC motor-based WPS without battery is considered and implemented sensorless speed controller with sliding mode controller (SMC) in this article. Generally, power generated by PV systems will be affected by partial shading condition (PSC) and unable to produce maximum availability power due to failure of the conventional perturbed and observe (P&O) algorithm. In order to overcome this condition, a whale optimization algorithm (WOA) has been integrated to the conventional P&O algorithm in this article. A hybrid whale optimization–P&O (WOPO) algorithm can effectively work to extract the maximum possible power from PV during both PSC and normal condition. The results are compared with genetic algorithm (GA), particle swarm optimization (PSO), and gray wolf optimization (GWO) for maximum power point tracking (MPPT) under PSC. In order to reduce the cost of system, the inverter is also working as an MPPT device for the PV system by integrating the WOPO algorithm with SMC of inverter. Hence, an extra dc–dc converter will not be required for MPPT. Extensive results are presented with OPAL-RT to validate the proposed system under both steady-state and transient conditions. In addition to this, dSPACE-based hardware results are also presented in this article to validate the proposed system.
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Citations
A Comparative Analysis of the Mamdani and Sugeno Fuzzy Inference Systems for MPPT of an Islanded PV System
Tina Samavat,Mostafa Nazari,M. Ghalehnoie,Morteza Azimi Nasab,Mohammad Ali Vakilian Zand,Padmanaban Sanjeevikumar,Baseem Khan +6 more
TL;DR: In this paper , the two classes of Mamdani and Sugeno are discussed to introduce the best controller for extracting more power from a solar system by implementing both types and gaining an understanding of their differences.
An Improved PSO-based MPPT Technique Using Stability and Steady State Analyses Under Partial Shading Conditions
TL;DR: In this paper , an improved PSO-based MPPT algorithm was proposed for partial shading conditions in photovoltaic (PV) systems, which is applicable to most PV inverters under any PS conditions.
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Analysis of Grid-Interactive PV-Fed BLDC Pump Using Optimized MPPT in DC–DC Converters
Jeba Singh Oliver,D. Prince Winston,Praveen Kumar Balachandran,Lucian Mihet‐Popa +3 more
TL;DR: Analysis of grid-interactive PV-fed BLDC pump using optimized MPPT in DC–DC converters focuses on optimizing DC/DC converter topologies and MPPT algorithms for maximum power extraction from PV arrays and efficient operation of BLDC motors. The study compares the performance of SEPIC, LUO, and interleaved LUO converters and finds that the interleaved LUO converter outperforms the other two converters with high conversion efficiency and low THD.
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A Novel Hybrid WOADE Algorithm Based MPPT Employed WECS for Water Pumping Applications: Practical Realization
TL;DR: In this article , the authors proposed a hybrid whale optimization algorithm differential evolution (WOADE) as a maximum power point tracking (MPPT) algorithm for wind energy conversion systems (WECS) employed for water pumping applications.
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References
The Whale Optimization Algorithm
Seyedali Mirjalili,Andrew Lewis +1 more
TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
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A Grey Wolf-Assisted Perturb & Observe MPPT Algorithm for a PV System
TL;DR: From the obtained results, it is confirmed that the proposed MPPT provides superior tracking performance in any weather conditions compared to both GWO and PSO+PO-based MPPT algorithms.
368
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
TL;DR: The review presented in the paper has the potential to motivate expert researchers to propose more novel WOA-based algorithms, and it can serve as an initial reading material for a novice researcher.
250
Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions
TL;DR: In this article, the authors developed a new algorithm for maximum power point tracking (MPPT) in large PV systems under partial shading conditions (PSC), which combines the use of particle swarm optimization (PSO) for MPPT during the initial stages of tracking and then employs the traditional perturb and observe (PO) method at the final stages.
232
Single Stage Solar PV Fed Brushless DC Motor Driven Water Pump
Rajan Kumar,Bhim Singh +1 more
TL;DR: In this paper, a single-stage solar PV energy conversion system feeding a brushless dc motor-pump, which eliminates the dc-dc conversion stage, is proposed to operate the solar PV array at its peak power using a common voltage source inverter.
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