A novel controller for PV-fed water pumping optimization system driven by an 8/6 pole SRM with asymmetrical converter

被引:3
作者
Kolluru, Ashok Kumar [1 ]
Malligunta, Kiran Kumar [1 ]
Teja, S. Ravi [1 ]
Reddy, Ch. Rami [2 ]
Alqahtani, Mohammed [3 ]
Khalid, Muhammad [4 ,5 ,6 ]
机构
[1] Koneru Lakshmaiah Educ Fdn, Dept Elect & Elect Engn, Guntur, Andhra Prades, India
[2] Joginpally BR Engn Coll, Dept Elect & Elect Engn, Hyderabad, India
[3] King Khalid Univ, Dept Ind Engn, Abha, Saudi Arabia
[4] King Fahd Univ Petr & Minerals, Elect Engn Dept, Dhahran, Saudi Arabia
[5] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Renewable Energy & Power, Dhahran, Saudi Arabia
[6] King Fahd Univ Petr & Minerals, SDAIA KFUPM Joint Res Ctr Artificial Intelligence, Dhahran, Saudi Arabia
关键词
solar PV system; switched reluctance motor; asymmetrical converter; direct torque control; sliding mode controller; INDUCTION-MOTOR DRIVE; PMSM; INVERTER;
D O I
10.3389/fenrg.2023.1205704
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A locally installed photovoltaic (PV)-powered motor pump is a viable solution for a water pumping system (WPS) in rural locations. In this study, a single-stage, PV-fed, SRM-powered WPS was investigated and realized using a speed sensorless sliding mode controller (SMC)-based direct torque control (DTC). As a result, no additional DC-DC converter was required for maximum power absorption from the PV source. By utilizing a novel high-side switch asymmetric converter with a hybrid Perturb and Observe-Grey Wolf optimization (POGWO) method integrated with a DC-link voltage controller, an efficient single-stage conversion was achieved. The robustness of the proposed integrated control is presented by comparing it with a Genetic Algorithm and Particle Swarm Optimization (PSO). Extensive results using MATLAB SIMULINK are shown to validate the proposed system in both steady-state and transient conditions for various partial shading conditions.
引用
收藏
页数:13
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