An Effective Technique to Enhance the Quality Power by LOA With IUPQC

Muhammad Yousouf Bashir, Muhammad Imran Ghafoor, Bilawal Rehman, Sayed Habibullah Hashemi, Muhammad Sohaib Roomi, Shapoor Alikhail

Abstract


In this paper, we present a method for addressing power quality issues caused by non-linear loads, such as distortion, swell, voltage sag, voltage variations, harmonic currents, and flickering. To address these issues, the proposed system uses Linear Optimal Allocation (LOA) and an Integrated Unified Power Quality Conditioner (IUPQC). In the IUPQC device, the LOA is used to maintain a constant DC-link voltage by compensating for voltage and current. MATLAB/Simulink is used to evaluate this method, and it is compared to the Bull Optimization Algorithm (BOA) and the Bat Algorithm (BA). In the proposed system, power quality issues can be effectively eliminated in both linear and non-linear distribution systems, regardless of whether the loads are linear or non-linear.


Keywords


Interline Unified Power Quality Controller (IUPQC), Power Quality (PQ), Power Angle Control (PAC), Lion Optimization Algorithm (LOA).

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References


Qader, Mohammed, R. (2015). A novel strategic-control-based Distribution Static Synchronous Series Compensator (DSSSC) for power quality improvement, An International Journal of Electrical Power and Energy Systems, 64,1106-1118.

Milanovic, Jovica,V.,Yan, Z. (2010). Modelling of FACTS devices for voltage sag mitigation studies in large power systems, IEEE Transactions on Power Delivery, 25(4),3044-3052.

Sarker, Jayanti, Goswami,S.K. (2016). Optimal location of unified power quality conditioner in distribution system for power quality improvement, An International Journal of Electrical Power and Energy Systems, 83, 309-324.

He, Jinwei, Yun Wei, L.,Frede, B. (2014). Flexible microgrid power quality enhancement using adaptive hybrid voltage and current controller, IEEE Transactions on Industrial Electronics, 61(6), 2784-2794.

Singh, Bhim, Sabha, RA. (2013). Back-propagation control algorithm for power quality improvement using DSTATCOM, IEEE Transactions on Industrial Electronics, 61(3),1204-1212.

Bruno Franca,W., Leonardo da, FS., MaynaraAredes, A., Mauricio A. (2015). An Improved iUPQC Controller to Provide Additional Grid-Voltage Regulation as a STATCOM, IEEE Transactions on Industrial Electronics, 62(3).

Kwan, KianHoong, Ping, LS.,Yun, CC. (2012). An output regulation-based unified power quality conditioner with Kalman filters, IEEE Transactions on Industrial Electronics,59(11),4248-4262.

Palanisamy.K., Kothari,D.P., Mahesh Mishra,K., Meikandashivam,S., JacobRaglend,I. (2013). Effective utilization of unified power quality conditioner for interconnecting PV modules with grid using power angle control method, An International Journal of Electrical Power and Energy Systems, 48,131-138.

Zhang, Lei, Poh Chiang LohandFengGao. (2012). An integrated nine-switch power conditioner for power quality enhancement and voltage sag mitigation, IEEE Transactions on Power Electronics, 27(3),1177-1190.

Zhang, Yan,Jovica,VM. (2010). Global voltage sag mitigation with FACTS-based devices, IEEE Transactions on Power Delivery, 25(4),2842-2850.

Teke, Ahmet, LutfuSaribulutand,MT. (2011). A novel reference signal generation method for power-quality improvement of unified power-quality conditioner", IEEE Transactions on power delivery, 26(4),2205-2214.

Sundarabalan, C.K., Selvi,K. (2014). PEM fuel cell supported distribution static compensator for power quality enhancement in three-phase four-wire distribution system, An International Journal of Hydrogen Energy, 39(33),19051-19066.

Srinivas, Manem, IkhlaqHussainandBhim, S. (2016). Combined LMS–LMF-based control algorithm of DSTATCOM for power quality enhancement in distribution system, IEEE Transactions on Industrial Electronics, 63(7),4160-4168.

Reisi, Ali, R., Mohammad MoradiandHemenShowkati,H. (2013). Combined photovoltaic and unified power quality controller to improve power quality, An International Journal of Solar Energy, 88,154-162.

Kannan, KamatchiandN.Rengarajan,V. (2012). Photovoltaic based distribution static compensator for power quality improvement, An International Journal of Electrical Power and Energy Systems, 42(1),685-692.

Patjoshi, Rajesh, K.,Kamalakanta, M. (2016). Resistive optimization with enhanced PLL based nonlinear variable gain fuzzy hysteresis control strategy for unified power quality conditioner, An International Journal of Electrical Power and Energy Systems, 83,352-363.

Senthilkumar, A., Ajay-D-Vimal, RP. (2015). ANFIS and MRAS-PI controllers based adaptive-UPQC for power quality enhancement application, An International Journal of Electric Power Systems Research, 126, 1-11.

Khadkikar, VinodandAmbrish, C. (2011). UPQC-S: A novel concept of simultaneous voltage sag/swell and load reactive power compensations utilizing series inverter of UPQC, IEEE Transactions on Power Electronics, 26(9), 2414-2425.

Karanki, Srinivas, B., MaheshMishra,K., Kalyan Kumar,B. (2010). Particle swarm optimization-based feedback controller for unified power-quality conditioner, IEEE Transactions on Power Delivery, 25(4), 2814-2824.

Ganguly, Sanjib. (2014). Multi-objective planning for reactive power compensation of radial distribution networks with unified power quality conditioner allocation using particle swarm optimization, IEEE Transactions on Power Systems, 29(4), 1801-1810.

Patjoshi, Rajesh, K., Venkata, RK., Kamalakanta, M. (2017). Power quality enhancement using fuzzy sliding mode based pulse width modulation control strategy for unified power quality conditioner, An International Journal of Electrical Power and Energy Systems,84,153-167.

Panda, Anup, K., Nishant P. (2017). Management of reactive power sharing and power quality improvement with SRF-PAC based UPQC under unbalanced source voltage condition, An International Journal of Electrical Power and Energy Systems, 84,182-194.

VeeraNagireddy,V., Venkata, RK., Ashok Kumar,D.V. (2017). Hybrid fuzzy back-propagation control scheme for multilevel unified power quality conditioner, Ain Shams Engineering Journal, 1-16.

PouriaGoharshenasan, K., Mahmood, J., SeyedGhodratollah,S. (2017). Smart grid realization with introducing unified power quality conditioner integrated with DC microgrid, An International Journal of Electric Power Systems Research, 151,68–85.

Vinnakoti, S., Venkata, RK. (2018). ANN based Control Scheme for a Three-Level Converter based Unified Power Quality Conditioner, An International Journal of Electrical Systems and Information Technology, 1-16.

Ashish, P., Mathur,H.D., Surekha, B. (2018). An improved control method for unified power quality conditioner with unbalanced load, An International Journal of Electrical Power and Energy Systems, 100,129–138.

Brahim, B. (2018). Fuzzy multi-objective technique combined with VCS algorithm for unified power quality conditioner based on hybrid power source PEMFC/SC, An International Journal of Hydrogen Energy, 43(12),6275-6293.

Bhatti, U. A., Zeeshan, Z., Nizamani, M. M., Bazai, S. U., Yu, Z., & Yuan, L. (2022). Assessing the change of ambient air quality patterns in Jiangsu Province of China pre-to post-COVID-19. Chemosphere, 288, 132569.

Bhatti, U. A., Wu, G., Bazai, S. U., Ali Nawaz, S., Baryalai, M., Bhatti, M. A. ... Nizamani, M. M. (2022). A Pre- to Post-COVID-19 Change of Air Quality Patterns in Anhui Province Using Path Analysis and Regression. Polish Journal of Environmental Studies, 31(5), 4029-4042. https://doi.org/10.15244/pjoes/148065.

Aamir, M., Li, Z., Bazai, S. U., Wagan, R. A., Bhatti, U. A., Nizamani, M. M., & Akram, S. (2021). Spatiotemporal Change of Air-Quality Patterns in Hubei Province—A Pre- to Post-COVID-19 Analysis Using Path Analysis and Regression. Atmosphere, 12(10), 1338. MDPI AG. Retrieved from http://dx.doi.org/10.3390/atmos12101338

Hasnain, A., Sheng, Y., Hashmi, M. Z., Bhatti, U. A., Hussain, A., Hameed, M., & Zha, Y. (2022). Time series analysis and forecasting of air pollutants based on prophet forecasting model in Jiangsu province, China. Frontiers in Environmental Science, 1044.

Ghafoor, M. I., Roomi, M. S., Aqeel, M., Sadiq, U., & Bazai, S. U. (2021, December). Multi-Features Classification of SMD Screen in Smart Cities using Randomised Machine Learning Algorithms. In 2021 2nd International Informatics and Software Engineering Conference (IISEC) (pp. 1-5). IEEE.

Jindal,A.K., Ghosh,A., Joshi,A.Interline Unified Power Quality Conditioner, IEEE Transactions on Power Delivery, 22(1), 364-372.

Raza, M. A., Bazai, S.U., Li, Z., Wagan, R. A., Nizamani, M. M., & Khokhar, A. A. (2022). Analysis of Change in Diversity Pattern Due to Environmental Change to Improve the Conservation of Species. Polish Journal of Environmental Studies, 31(2).

.Kumaraswamy,G., Rajasekhar Reddy,Y., Ch.Harikrishna. (2012). Design of Interline Unified Power Quality Conditioner for Power Quality Disturbances using Simulink, An International Journal of Advancements in Research and Technology, 1(5), 1-10.

A. Jamil, A. ali Hameed, et al., “Land cover classification using machine learning approaches from high resolution images,” Journal of Applied and Emerging Sciences, vol. 11, no. 1, pp. pp–108, 2021.

M. N. Asghar, F. J. Saleemi, S. Iqbal, et al., “A novel parts of speech (pos) tagset for morphological, syntactic and lexical annotations of saraiki language,” Journal of Applied and Emerging Sciences, vol. 11, no. 1, pp. pp–77, 2021.

Davod, R., Eskandar, G., Rahmat-Allah, H. (2016). Power Angle Control-based Method for Interline Unified Power Quality Conditioner and Multi-converter Unified Power Quality Conditioner under Unbalanced and Distorted Load Conditions, An International Journal of Electric Power Components and Systems, 1-14.

Rajakumar,B.R. (2012). The Lion's Algorithm: A New Nature-Inspired Search Algorithm, In Procedings of 2nd International Conference on Communication, Computing & Security (ICCCS-2012), 6, 126-135.

Kuan-Cheng, L., Jason Hung,C., Jhen-ting, W. (2018). Feature selection with modified lion’s algorithms and support vector machine for high-dimensional data, An International Journal of Applied Soft Computing, 68, 669-676.




DOI: http://dx.doi.org/10.36785/jaes.122555

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