Design and Performance Analysis of Fuzzy Based Hybrid Controller for Grid Connected Solar-Battery Unified Power Quality Conditioner

Koganti Srilakshmi, Sravanthy Gadameedhi, D Teja Santhosh, N Yashaswini, Nagaraju valluri, J Ganesh Prasad Reddy, NMG Kumar, D Anil Naik

Abstract


Nowadays, integration of the non-conventional energy sources like wind, tidal, solar etc into the grid is suggested in order to minimize the losses in the distribution network and to meet the demand. The arrival of the power electronics equipments to control the nonlinear loads has made an impact on the power quality. The unified power quality conditioner (UPQC) is a FACTS device with the back to back converters, coupled together with a DC-Link capacitor. This paper suggests an intelligent hybrid controller for the solar Photo-voltaic system and Battery storage system integrated UPQC. The proposed controller is the combination of Fuzzy Logic controller (FLC), and integral sliding-mode controller (ISMC). The synchronization of phases is created by self tuning filter (STF) in association with unit vector generation method (STF-UVGM) for the superior performance of UPQC during the unbalanced/ distorted supply voltages conditions. Therefore, the necessity of Phase-locked-loop, Low pass filters and High pass filters are eliminated. However, STF is used for separating the Harmonic and Fundamental components. In addition, STF-UVGM was used for generation of synchronization phases of series and shunt filters. The prime objectives of the suggested fuzzy logic integral sliding mode hybrid controller (FLISMHC) are fast action to retain the DC-Link voltage to the constant value during load/ irradiation variations, diminish the harmonics in the current waveforms, power-factor (PF) enhancement, maximum mitigation of sag/swell/ disturbances in the supply voltage, and appropriate compensation for the un-balanced supply voltages. The performance analysis of FLISMHC was investigated on five test cases for several combinations of loads/ supply voltages and to demonstrate the supremacy of the suggested FLISMHC comparative analysis was carried out with the methods that exist in literature and with the standard controllers like PI, sliding mode, and FL. The FLISMHC shows an extra-ordinary performance in diminishing THD thereby improving PF and reducing voltage distortions.


Keywords


Self tuning filter, Fuzzy-Logic controller, Unified Power Quality Conditioner, Solar PV generation, Battery system

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References


Vijayakumar Gali, Nitin Gupta and R. A. Gupta, “Mitigation of power quality problems using shunt active power filters: A comprehensive review” 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), 18-20 June 2017.

Metin Kesler and Engin Ozdemir, “Synchronous-Reference-Frame-Based Control Method for UPQC under Unbalanced and Distorted Load Conditions”, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2010.2100330, Vol. 58, No. 9, pp. 3967-3975, September 2011.

Suresh M and Panda A. K, “PI and Fuzzy Logic Controller based 3-phase 4-wire Shunt active filter for mitigation of Current harmonics with Id-Iq Control Strategy”, Journal of power Electronics , DOI:10.6113/JPE.2011.11.6.914, Vol. 11, No. 6, Nov 2011.

Soumya R. Das, Prakash K. Ray, Asit Mohanty and Gayadhar Panda, “Power Quality Enhancement in PV and Battery Storage Based Microgrid Using Hybrid Active Filter” 2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 5-7 March 2021.

Suresh M and Panda A. K, “RTDS hardware implementation and simulation of SHAF for mitigation of harmonics using p-q control strategy with PI and Fuzzy logic controllers”, Frontiers of Electrical and Electronic Engineering , DOI:10.1007/s11460-012-0198-7,Vol. 7, No. 4, pp. 427–437, Jun. 2012.

Hsiung C L, “Intelligent Neural Network-Based Fast Power System Harmonic Detection,” IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2006.888685 , Vol. 54, No. 1, Feb.2007.

P.K.Dash, S.K.Panda, T.H.Lee J.X.Xu and A.Rou tray, “Fuzzy and Neural Controllers for Dynamic Systems: an Overview”. IEEE, May 1997.

Sachin Devassy and Bhim Singh, “Design and Performance Analysis of Three-Phase Solar PV Integrated UPQC”, ICPS, IEEE-March 2016.

Viswanth K Krishna, Santanu Kumar Dash and Kumari R Geshma, “Development and Analysis of Power Quality by using Fuel cell based Shunt Active Power Filter”, 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 5-7 March 2020.

Alok Kumar Mishra, Soumya Ranjan Das, Prakash K. Ray, Ranjan Kumar Mallick, Asit Mohanty and Dillip K. Mishra, “PSO-GWO Optimized Fractional Order PID Based Hybrid Shunt Active Power Filter for Power Quality Improvements” IEEE ACCESS, Vol. 8, pp. 74497 – 74512, DOI: 10.1109/ACCESS.2020.2988611, April-2022.

Kumar Chandrasekaran, Jaisiva Selvaraj, Clement Raj Amaladoss and Logeshwari Veerapan, “Hybrid renewable energy based smart grid system for reactive power management and voltage profile enhancement using artificial neural network”, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2021, Vol. 43, No. 19, pp. 2419–2442, DOI: 10.1080/15567036.2021.1902430

M. R. Mohanraj and R. Prakash, “A Unified Power Quality Conditioner for Power Quality Improvement in Distributed Generation Network Using Adaptive Distributed Power Balanced Control (ADPBC)”, International Journal of Wavelets, Multi-resolution and Information Processing, Vol. 18, No. 01, pp. 1941021, 2020.

Krishna Sarker, Debashis Chatterjee and S. K. Goswami, “A modified PV-wind-PEMFCS-based hybrid UPQC system with combined DVR/STATCOM operation by harmonic compensation”, International Journal of Modeling and Simulation, Vol.41, No.4, pp. 243-255, March 2020.

Tejinder Singh Saggu, Lakhwinder Singh, Balbir Gill and Om Parkash Malik, “Effectiveness of UPQC in Mitigating Harmonics Generated by an Induction Furnace”, Electrical power components and systems, Taylor & Francis, DOI: 10.1080/15325008.2018.1460641, Vol. 46, No. 6, pp. 629-636, Nov-2018.

S.S. Dheeban and N.B. Muthu Selvan, “ANFIS-based Power Quality Improvement by Photovoltaic Integrated UPQC at Distribution System”, IETE Journal of Research, Feb-2021.

Mahmoud Ebadian, Mohammad Talebi and Reza Ghanizadeh, “ A New Approach Based on Instantaneous Power Theory for Improving the Performance of UPQC Under Unbalanced and Distortional Load Conditions” , Automatika, Journal for Control, Measurement, Electronics, Computing and Communications, DOI: 10.7305/automatika.2015.07.750, Vol. 56, No. 2, pp. 226-237, Jan-2017.

Mohamed Abdusalama, Philippe Poureb, Shahram Karimia and Shahrokh Saadatea, “New digital reference current generation for shunt active power filter under distorted voltage conditions” DOI: 10.1016/j.epsr.2008.10.009, Vol. 79, pp. 759–765, Dec 2009.

Almelian,M, Mohd,I, Omran.M and Sheikh,U, “Performance of unified power quality conditioner (UPQC) based on fuzzy controller for attenuating of voltage and current harmonics”, IOP Conf. Series: Materials Science and Engineering, 2018, 3, 012-084.

Vinothkumar,V and Kanimozhi, R, “Power flow control and power quality analysis in power distribution system using UPQC based cascaded multi level inverter with predictive phase dispersion modulation method”, Journal of Ambient Intelligence and Humanized Computing 2021, 12, 6445–6463.

Samal,S and Hota, P.K, “Design and analysis of solar PV-fuel cell and wind energy based microgrid system for power quality improvement”, Cogent Engineering, 2017, 4, 1-22.

Nandhini. E and Sivaprakasam. A, “A Review of Various Control Strategies Based on Space Vector Pulse Width Modulation for the Voltage Source Inverter”, IETE Journal of Research, 2020, In Press.

Garima.G, Pankaj and K. Goswami, “Self-adaptive learning based controller to mitigate PQ issues in internet of things devices”, International Transactions on Electrical Energy Systems, 2021, 31, 1-20.

Abdelnasser, A. Nafeh, Aya Heikal, Ragab, A. El-Sehiemy and Waleed A.A.S, “Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM”, Alexandria Engineering Journal 2022, 61,2260-2293.

Sayed.J.A, Sabha, R.A and Ranjan.K.J, “Biogeography based optimization strategy for UPQC PI tuning on full order adaptive observer based control”, IET Generation, Transmission & Distribution 2021, 15, 279-293.

Renduchintala, U.K.; Pang,C.; Tatikonda. K. M, Yang, L,”ANFIS-fuzzy logic based UPQC in interconnected microgrid distribution systems: Modeling, simulation and implementation”, The Journal of Engineering 2021, 21, 1-29.

S. Devassy and B. Singh,”Performance analysis of solar pv array and battery integrated unified power quality conditioner for microgrid systems”, IEEE Transactions on Industrial Electronics, 68(5) (2021), 4027 – 4035.

Rajesh.P, Shajin F.H and Umasankar, L,”A Novel Control Scheme for PV/WT/FC/Battery to Power Quality Enhancement in Micro Grid System: A Hybrid Technique”, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2021, 1-18.

Dheeban S.S, Muthu Selvan N. B and Umashankar. S,”Artificial Neural Network based Solar Energy Integrated Unified Power Quality Conditioner”, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2021.

Fredrick.N, Franklin. N, Ifedayo. O and Ramon. Z, “Optimal Design and Performance Analysis of Solar PV Integrated UPQC for Distribution Network”, European Journal of Electrical Engineering and Computer Science 2021, 5, 1-8.

Pazhanimuthu. C, Ramesh. S,” Grid integration of renewable energy sources (RES) for power quality improvement using adaptive fuzzy logic controller based series hybrid active power filter (SHAPF)”, Journal of Intelligent & Fuzzy Systems 2018, 35, 749–766.




DOI (PDF): https://doi.org/10.20508/ijrer.v13i1.13318.g8655

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