Abstract
In this paper, a hybrid control scheme is proposed for power quality mitigation in DSTATCOM connected n-level inverter system. The proposed hybrid control scheme is the joined execution of both the random forest search algorithm and lightning search algorithm (RFLSA). The novelty of the proposed hybrid control scheme is enhanced prediction capability with the involvement of lightning search algorithm (LSA), reliability, adaptive for all parameter variations and less execution time. Here, the gain parameters of the PI controller are predicted to provide the optimal control signal of the DSTATCOM using proposed RFLSA technique. The proposed method prediction process considers all type of variations in the system parameters like DC voltage, real and reactive power. Based on the minimum error objective function, the learning process of random forest search algorithm (RFSA) is enhanced by using the lightning search algorithm (LSA). Then, the proposed technique is implemented in the MATLAB/Simulink platform and the performance is evaluated. The behavior of the proposed technique has been successfully compared with existing techniques. Simulation results shows that the proposed technique has the capability of ensuring satisfactory dynamic response, high efficiency and diminished harmonics.
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Mahela, O., Shaik, A., Gupta, N.: A critical review of detection and classification of power quality events. Renew. Sustain. Energy Rev. 41, 495–505 (2015)
Mahela, O., Shaik, A.: Power quality improvement in distribution network using DSTATCOM with battery energy storage system. Int. J. Electr. Power Energy Syst. 83, 229–240 (2016)
Saini, M., Kapoor, R.: Classification of power quality events—a review. Int. J. Electr. Power Energy Syst. 43, 11–19 (2012)
Tareen, W., Mekhilef, S., Seyedmahmoudian, M., Horan, B.: Active power filter (APF) for mitigation of power quality issues in grid integration of wind and photovoltaic energy conversion system. Renew. Sustain. Energy Rev. 70, 635–655 (2017)
Zhou, B., Li, W., Chan, K., Cao, Y., Kuang, Y., Liu, X., Wang, X.: Smart home energy management systems: concept, configurations, and scheduling strategies. Renew. Sustain. Energy Rev. 61, 30–40 (2016)
Muttaqi, K., Esmaeel Nezhad, A., Aghaei, J., Ganapathy, V.: Control issues of distribution system automation in smart grids. Renew. Sustain. Energy Rev. 37, 3866–3894 (2014)
Matayoshi, H., Uehara, T., Ludin, G., Sharma, A., Datta, M., Senjyu, T.: Uninterruptible smart house equipped with a single-phase dq-transformation system. J. Renew. Sustain. Energy 8, 025101 (2016)
Raza, M., Haider, M., Ali, S., Rashid, M., Sharif, F.: Demand and response in smart grids for modern power system. Smart Grid Renew. Energy. 4, 133–136 (2013)
Buzdugan, M., Balan, H.: About power quality monitoring in residential grids. Renew. Energy Power Qual. J. 1, 569–574 (2017)
Riess, I., Leshem, A.: Odd rectification, hysteresis and quasi switching in solid state devices based on mixed ionic electronic conductors. Solid State Ionics 225, 161–165 (2012)
Aswathi Krishna, D., Sindhu, M.: Application of static synchronous compensator (STATCOM) to enhance voltage profile in IEEE standard 5 bus transmission system. Indian J. Sci. Technol. 9, 1–6 (2016)
Roy, N.K., Hossain, M.J., Pota, H.R.: Voltage profile improvement for distributed wind generation using D-STATCOM. In: Power and Energy Society General Meeting, 2011 IEEE, Detroit, MI, USA, 1–6 (2011)
Sundaramoorthy, R., Udhayakumar, D.: Power quality improvement in modified solid state transformer system using statcom. Int. J. Eng. Comput. Sci. 5, 16686–16691 (2016)
Singh, B., Dube, S., Arya, S.: An improved control algorithm of DSTATCOM for power quality improvement. Int. J. Electr. Power Energy Syst. 64, 493–504 (2015)
Mishra, S., Ray, P.: Nonlinear modeling and control of a photovoltaic fed improved hybrid DSTATCOM for power quality improvement. Int. J. Electr. Power Energy Syst. 75, 245–254 (2016)
Deben Singh, M., Mehta, R., Singh, A., Meng, W.: Integrated fuzzy-PI controlled current source converter based D-STATCOM. Cogent. Eng. 3, 1138921 (2016)
Bouafia, S., Benaissa, A., Barkat, S., Bouzidi, M.: Second order sliding mode control of three-level four-leg DSTATCOM based on instantaneous symmetrical components theory. Energy Syst. 9, 79–111 (2016)
Bangarraju, J., Rajagopal, V., Laxmi, A.: Power quality enhancement using power balance theory based DSTATCOM. Adv. Electr. Electr. Eng. 14, 1–10 (2016)
Ramya, G., Ganapathy, V., Suresh, P.: Power quality improvement using multi-level inverter based DVR and DSTATCOM using neuro-fuzzy controller. Int. J. Power Electr. Drive Syst. (IJPEDS) 8, 316 (2017)
Belloni, F., Chiumeo, R., Gandolfi, C., Villa, A.: A series compensation device for the LV power quality improvement. Renew. Energy Power Qual. J. 1, 71–76 (2017)
Choi, W., Lee, W., Han, D., Sarlioglu, B.: New configuration of multifunctional grid-connected inverter to improve both current-based and voltage-based power quality. IEEE Trans. Ind. Appl. 54, 6374–6382 (2018)
Mortezaei, A., Simoes, M., Busarello, T., Marafao, F., Al-Durra, A.: Grid-connected symmetrical cascaded multilevel converter for power quality improvement. IEEE Trans. Ind. Appl. 54, 2792–2805 (2018)
Lei, E., Yin, X., Chen, Y., Lai, J.: A cascaded D-STATCOM integrated with a distribution transformer for medium-voltage reactive power compensation. J. Power Electr. 17, 522–532 (2017)
Nipun, P., Vivek, A.: Power quality improvement in distribution line using D-STATCOM. Int. J. Sci. Res. (IJSR). 5, 116–119 (2016)
Al-Emadi, N., Buccella, C., Cecati, C., Khalid, H.: A novel DSTATCOM with 5-level CHB architecture and selective harmonic mitigation algorithm. Electr. Power Syst. Res. 130, 251–258 (2016)
Svetnik, V., Liaw, A., Tong, C., Culberson, J., Sheridan, R., Feuston, B.: Random forest: a classification and regression tool for compound classification and QSAR modeling. J. Chem. Inf. Comput. Sci. 43, 1947–1958 (2003)
Chan, J., Paelinckx, D.: Evaluation of random forest and adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery. Remote Sens. Environ. 112, 2999–3011 (2008)
Shareef, H., Ibrahim, A., Mutlag, A.: Lightning search algorithm. Appl. Soft Comput. 36, 315–333 (2015)
Sirjani, R., Shareef, H.: Parameter extraction of solar cell models using the lightning search algorithm in different weather conditions. J. Sol. Energy Eng. 138, 041007 (2016)
Shareef, H., Mutlag, A., Mohamed, A.: A novel approach for fuzzy logic PV inverter controller optimization using lightning search algorithm. Neurocomputing. 168, 435–453 (2015)
Ibrahim, I., Khatib, T.: A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm. Energy Convers. Manag. 138, 413–425 (2017)
Amiar, A., Adjabi, M., Logerais, P.: New coordinated design of I-STATCOM for multimachine multibus electrical energy system driving. Energy Syst. 9, 135–170 (2016)
Nesrullah, S., Azah, M., Hussain, S.: Reliability improvement in distribution systems employing an integrated voltage sag mitigation method using binary gravitational search algorithm. J. Central South Univ. 20, 3002–3014 (2013)
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Raveendra, N., Madhusudhan, V. & Jaya Laxmi, A. RFLSA control scheme for power quality disturbances mitigation in DSTATCOM with n-level inverter connected power systems. Energy Syst 11, 753–778 (2020). https://doi.org/10.1007/s12667-019-00330-6
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DOI: https://doi.org/10.1007/s12667-019-00330-6