Design of Multi-Objective-Based Artificial Intelligence Controller for Wind/Battery-Connected Shunt Active Power Filter

被引:29
作者
Koganti, Srilakshmi [1 ]
Koganti, Krishna Jyothi [2 ]
Salkuti, Surender Reddy [3 ]
机构
[1] Sreenidhi Inst Sci & Technol, Dept Elect & Elect Engn, Hyderabad 501301, Telangana, India
[2] Geethanjali Coll Engn & Technol, Dept Comp Sci & Engn, Hyderabad 501301, Telangana, India
[3] Woosong Univ, Dept Railrd & Elect Engn, Daejeon 34606, South Korea
关键词
power quality; wind power; battery storage; fuzzy logic; total harmonic distortion; power factor; artificial neural network; PERFORMANCE ANALYSIS; HARMONICS;
D O I
10.3390/a15080256
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays, the integration of renewable energy sources such as solar, wind, etc. into the grid is recommended to reduce losses and meet demands. The application of power electronics devices (PED) to control non-linear, unbalanced loads leads to power quality (PQ) issues. This work presents a hybrid controller for the self-tuning filter (STF)-based Shunt active power filter (SHAPF), integrated with a wind power generation system (WPGS) and a battery storage system (BS). The SHAPF comprises a three-phase voltage source inverter, coupled via a DC-Link. The proposed neuro-fuzzy inference hybrid controller (NFIHC) utilizes both the properties of Fuzzy Logic (FL) and artificial neural network (ANN) controllers and maintains constant DC-Link voltage. The phase synchronization was generated by a self-tuning filter (STF) for the effective working of SHAPF during unbalanced and distorted supply voltages. In addition, STF also does the work of low-pass filters (LPFs) and HPFs (high-pass filters) for splitting the Fundamental component (FC) and Harmonic component (HC) of the current. The control of SHAPF works on d-q theory with the advantage of eliminating low-pass filters (LPFs) and phase-locked loop (PLL). The prime objective of the projected work is to regulate the DC-Link voltage during wind uncertainties and load variations, and minimize the total harmonic distortion (THD) in the current waveforms, thereby improving the power factor (PF).Test studies with various combinations of balanced/unbalanced loads, wind velocity variations, and supply voltage were used to evaluate the suggested method's superior performance. In addition, the comparative analysis was carried out with those of the existing controllers such as conventional proportional-integral (PI), ANN, and FL.
引用
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页数:23
相关论文
共 33 条
[1]   New digital reference current generation for shunt active power filter under distorted voltage conditions [J].
Abdusalam, Mohamed ;
Poure, Philippe ;
Karimi, Shahram ;
Saadate, Shahrokh .
ELECTRIC POWER SYSTEMS RESEARCH, 2009, 79 (05) :759-765
[2]   Biogeography based optimization strategy for UPQC PI tuning on full order adaptive observer based control [J].
Alam, Sayed Javed ;
Arya, Sabha Raj ;
Jana, Ranjan Kumar .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (02) :279-293
[3]  
Almeida Maria Jose De., 2018, ICON Project: Content Integration in Portuguese National Archives Using CIDOC-CRM." In, P1
[4]   Hybrid renewable energy based smart grid system for reactive power management and voltage profile enhancement using artificial neural network [J].
Chandrasekaran, Kumar ;
Selvaraj, Jaisiva ;
Amaladoss, Clement Raj ;
Veerapan, Logeshwari .
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2021, 43 (19) :2419-2442
[5]  
Dash PK, 1997, INT C POWER ELECT DR, P810, DOI 10.1109/PEDS.1997.627490
[6]   Performance Analysis of Solar PV Array and Battery Integrated Unified Power Quality Conditioner for Microgrid Systems [J].
Devassy, Sachin ;
Singh, Bhim .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (05) :4027-4035
[7]   Design and Performance Analysis of Three-Phase Solar PV Integrated UPQC [J].
Devassy, Sachin ;
Singh, Bhim .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2018, 54 (01) :73-81
[8]   Artificial Neural Network based Solar Energy Integrated Unified Power Quality Conditioner [J].
Dheeban, S. S. ;
Selvan, Muthu N. B. ;
Subramaniam, Umashankar .
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2021, 47 (01) :7336-7360
[9]   ANFIS-based Power Quality Improvement by Photovoltaic Integrated UPQC at Distribution System [J].
Dheeban, S. S. ;
Muthu Selvan, N. B. .
IETE JOURNAL OF RESEARCH, 2023, 69 (05) :2353-2371
[10]  
Gade S., 2021, ECTI Trans Electr Eng Electron Commun, V19, P268, DOI [10.37936/ecti-eec.2021193.244936, DOI 10.37936/ECTI-EEC.2021193.244936]