i-manager Publications

i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 12 Issue 1

Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System

Most Cited

Volume 8 Issue 1 February - April 2020

Research Paper

Shunt Active Filter for Source Current Harmonics

Seema* , S. G. Ankaliki **

*-** Department of Electrical and Electronics Engineering, S.D.M. College of Engineering and Technology, Dharwad, Karnataka, India.

Seema and Ankaliki, S. G. (2020). Shunt Active Filter for Source Current Harmonics. i-manager’s Journal on Power Systems Engineering, 8(1), 1-8. https://doi.org/10.26634/jps.8.1.17464

Abstract

In this paper the synchronous reference frame PI-based control method for generating the reference signals for the Voltage Source Converter (VSC) of Shunt Active Filter (SAF) is presented. The method depends on the performance of the Proportional-Integral (PI) controller to achieve the best control performance of the SAF. Using reference frame transformation, reference signals were transformed from a - b - c stationery frame to 0 - d - q rotating frame. Using the PI controller, reference signals in 0 - d - q rotating frame were controlled to get the desired reference signals for the Pulse Width Modulation (PWM). Using MATLAB/SIMULINK simulation, the 5^th, 7^th , and 11^th harmonics were used to test the proposed Shunt Active Filter with improved PI controller resulting in harmonic content reduced to 1.89%.

References

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[2]. Anand, V., & Srivastava, S. K. (2012). Performance investigation of shunt active power filter using hysteresis current control method. International Journal of Engineering Research & Technology (IJERT), 1(4).

[3]. Atan, N. B., & Yunus, B. B. (2009, December). Evaluation of reference signal estimation techniques for the control of rd shunt active power filter. In 2009, 3 International Conference on Energy and Environment (ICEE) (pp. 290- 293). IEEE.

[4]. Bukka, S., Yunus, M., Hakim, M., Sanjeev, T. M., & Ankaliki, S. G. (2014). Performance analysis of three phase shunt hybrid active power filter. International Journal of Research in Engineering and Technology (IJRET), 3(3), 257- 263.

[5]. Kanjiya, P., Khadkikar, V., & Zeineldin, H. H. (2015). Optimal control of shunt active power filter to meet IEEE Std. 519 current harmonic constraints under non-ideal supply condition. IEEE Transactions on Industrial Electronics, 62(2), 724-734.

[6]. Mahajan, V., Agarwal, P., & Gupta, H. (2012). Simulation of shunt active power filter using instantaneous power theory. In 2012, IEEE Fifth Power India Conference, (pp. 1-5).

[7]. Mane, M., & Namboothiripad, M. K. (2017). Performance investigation of fractional pi controller in shunt active filter for a three phase four wire system. In International Conference on Nascent Technologies in Engineering (ICNTE).

[8]. Panchbhai, A., Parmar, S., & Prajapati, N. (2017). Shunt active filter for harmonic and reactive power compensation using p-q theory. In International Conference on Power and Embedded Drive Control (ICPEDC) (pp. 260-264).

[9]. Puhan, P. S., Ray, P. K., & Panda, G. (2017, February). Performance improvement of shunt active power filter with combined control technique. In 2017 International Conference on Emerging Trends and Innovation in ICT (ICEI) (pp. 56-61). IEEE.

[10]. Singh, B., Al-Haddad, K., & Chandra, A. (1999). A review of active filters for power quality improvement. IEEE Transactions on Industrial Electronics, 46(5), 960-971.

[11]. Soares, V., Verdelho, P., & Marques, G. D. (2000). An instantaneous active and reactive current component method for active filters. IEEE Transactions on Power Electronics, 15(4), 660-669.

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Research Paper

Modelling of Wind Power Plant using Artificial Neural Network

Raina Jain * , Reshmita Sharma , Abhishek Mishra *

- Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Department of Electronics and Communication Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India.

Jain, R., Sharma, R., and Mishra, A. (2020). Modelling of Wind Power Plant using Artificial Neural Network. i-manager’s Journal on Power Systems Engineering, 8(1), 9-19. https://doi.org/10.26634/jps.8.1.17531

Abstract

Utilization of wind energy is increasing day by day to generate electrical power. As a clean source of energy, it causes pollution does not pollute the air whereas other conventional power plants that depend on the combustion of coal, natural gas, oil, and fossil fuel. In reality, we are facing shortage of natural resources and due reason to this the world is trying to utilize renewable energy resources like solar, wind, etc. The wind power generation is increases rapidly at present. The fluctuation of electric power produced by wind power plants is associated with the balance of generation and demand. The wind power plant is a large scale system. The dynamic of each subsystem are represented by a set of non linear differential equation and are coupled with non linear algebraic equation. There is an intelligent control method known as artificial neural network which is used to overcome the problem of non linear differential equation. This paper presents an application of artificial neural network for modelling of wind power plant. The proposed algorithm is based on three parameters i.e., blade diameter, wind speed, and the blade pitch angle. The yield will be the power flow. The algorithm has been tested with the collected data and then we are able to establish a model of wind power plant. The proposed scheme is capable of modelling the parameters of wind power plant. The tested outcome suggest that the neural net trained data gives more accurate result.

References

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[2]. Alberto, P.,Fausto, P., Garcia, M.,Perez, J. M. P., & Diego, R. (2018). A survey of artificial neural network in wind energy system. Applied Energy, 228, 1822-1836.

[3]. Ali, S. A., Nawaz, M. F., Bilal, M., Ahmad, F., & Hayat, U. Y. (2015, June). Modeling of wind power plant using MATLAB. In 2015, Power Generation System and Renewable Energy Technologies (PGSRET) (pp. 1-5). IEEE.

[4]. Alshehri, J., Alzahrani, A., & Khalid, M. (2019, May). Wind energy conversion systems and artificial neural networks: Role and applications. In 2019, IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) (pp. 1777-1782). IEEE.

[5]. Amrutha, J., & Ajai, R. A. S. (2018). Performance analysis of Back propagation algorithm of artificial neural networks in verilog. In 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 1547-1550.

[6]. Anirudh, S., & Shekhawat. (2014). Wind power forecasting using artificial neural network. International Journal of Engineering Research & Technology (IJERT), 3(4), 993-998.

[7]. Bilal, B., Ndongo, M., Adjallah, K. H., Sava, A., Kébé, C. M., Ndiaye, P. A., & Sambou, V. (2018, February). Wind turbine power output prediction model design based on artificial neural networks and climatic spatiotemporal data. In 2018, IEEE International Conference on Industrial Technology (ICIT) (pp. 1085-1092). IEEE.

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[19]. Nithya, M., Nagarajan, S., & Navaseelan, P. (2017, April). Fault detection of wind turbine system using neural networks. In 2017, IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) (pp. 103-108). IEEE.

[20]. Răzuşi, P. C., & Eremia, M. (2011, September). Prediction of wind power by artificial intelligence th techniques. In 2011, 16 International Conference on Intelligent System Applications to Power Systems (pp. 1-6). IEEE.

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[22]. Shahat, A., Haddad, R. J., Kalaani, Y. (2015). An artificial neural network model for wind energy estimation. In Proceedings of the IEEE Southeast Conference. Fort Lauderdale, Florida: IEEE.

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[24]. WES 80. (n.d.). Wind energy solutions. Retrieved from https://windenergysolutions.nl/turbines/windturbine-wes-80/

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Research Paper

Integrated Phasor Estimation Technique to Compensate Effect of CCVT Transient on Distance Protection

Preeti Chandrakar * , Rahul Baghel , Swati Verma*

- Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Department of Electronics and Telecommunication Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Chandrakar, P., Baghel, R., and Verma, S. (2020). Integrated Phasor Estimation Technique to Compensate Effect of CCVT Transient on Distance Protection. i-manager’s Journal on Power Systems Engineering, 8(1), 20-30. https://doi.org/10.26634/jps.8.1.17554

Abstract

This work proposes an improved phasor estimation technique based on intrinsic time decomposition which enhances the distance relay performance during subsidence transient produced by coupling capacitor voltage transformer (CCVT). The proposed logic utilizes relaying signals such as voltage and current at relay point and decomposes it to corresponding baseline and residual signals. Then, the DC component is calculated and removed from the signals. Finally, the phasor of corresponding signals are extracted using discrete fourier transform to evaluate the performance of the distance relay. The proposed integrated phasor estimation based distance relaying algorithm is tested for diverse worst scenarios such as different source impedance ratio and different CCVT burden. The simulation has been performed on 60 Hz, 500 kV CCVT Brazilian power system modelled using EMTDC/PSCAD. Results obtained using proposed phasor estimation scheme enhances the distance relay for correctly discriminating the in-zone faults from out-zone faults. Finally, comparative assessment with other phasor estimation techniques proves the superiority of the proposed technique in distance relaying application.

References

[1]. Ahmadi, S., Sanaye-Pasand, M., & Davarpanah, M. (2019). Preventing maloperation of distance protection due to CCVT transients. IET Generation, Transmission & Distribution, 13(13), 2828-2835. https://doi.org/10.1049/ietgtd. 2018.6559

[2]. Ajaei, F. B., Sanaye-Pasand, M., Davarpanah, M., Rezaei-Zare, A., & Iravani, R. (2012). Mitigating the impacts of CCVT subsidence transients on the distance relay. IEEE Transactions on Power Delivery, 27(2), 497-505. https://doi. org/10.1109/TPWRD.2011.2181876

[3]. Akter, S., Biswal, S., Rathore, N. S., Das, P., & Abdelaziz, A. Y. (2020). Amplitude based directional relaying scheme for UPFC compensated line during single pole tripping. Electric Power Systems Research, 184, 1-14. https://doi.org /10.1016/j.epsr.2020.106290

[4]. Biswal, M., & Biswal, S. (2017). A positive-sequence current based directional relaying approach for CCVT subsidence transient condition. Protection and Control of Modern Power Systems, 2(1), 1-8. https://doi.org/10. 1186/s41601-017-0038-0

[5]. Biswal, S., Biswal, M., & Abdelaziz, A. Y. (2018). An adaptive algorithm to prevent distance relay overreach during CCVT transient. Electric Power Systems Research, 160, 362-371. https://doi.org/10.1016/j.epsr.2018.03.015

[6]. Frei, M. G., & Osorio, I. (2007). Intrinsic time-scale decomposition: time–frequency energy analysis and realtime filtering of non-stationary signals. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 463(2078), 321-342. https://doi.org/10.109 8/rspa.2006.1761

[7]. GE Multilin (2011). D60 Line Distance Protection System. GE Grid Solutions. Retrieved from https://www.gegrid solutions.com/products/manuals/d60/d60man-v1.pdf

[8]. He, B., Li, Y., & Bo, Z. Q. (2006). An adaptive distance relay based on transient error estimation of CVT. IEEE Transactions on Power Delivery, 21(4), 1856–1861. https:// doi.org/10.1109/TPWRD.2006.877098

[9]. Hou, D., & Roberts, J. (1996, May). Capacitive voltage transformer: transient overreach concerns and solutions for distance relaying. In Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering (Vol. 1, pp. 119-125). IEEE. https://doi.org/10.1109/CCECE.19 96 .548052

[10]. Iravani, M. R., Wang, X., Polishchuk, I., Ribeiro, J., & Sarshar, A. (1998). Digital time-domain investigation of transient behaviour of coupling capacitor voltage transformer. IEEE Transactions on Power Delivery, 13(2), 622- 629. https://doi.org/10.1109/61.660947

[11]. Jiang, Z., Miao, S., & Liu, P. (2014). A modified empirical mode decomposition filtering-based adaptive phasor estimation algorithm for removal of exponentially decaying DC offset. IEEE Transaction on Power Delivery, 29(3), 1326-1334. https://doi.org/10.1109/TPWRD.2014 .2299808

[12]. Kang, Y. C., Zheng, T. Y., Choi, S. W., Kim, Y. H., Kim, Y. G., Jang, S. I., & Kang, S. H. (2009). Design and evaluation of a compensating algorithm for the secondary voltage of a coupling capacitor voltage transformer in the time domain. IET Generation, Transmission & Distribution, 3(9), 793-800. https://doi.org/10.1049/iet-gtd.2008.0563

[13]. Machado, E. P., Fernandes, D., & Neves, W. L. A. (2017). Tuning CCVT frequency response data for improvement of numerical distance protection. IEEE Transactions on Power Delivery, 33(3), 1062-1070. https:// doi.org/10.1109/TPWRD.2017.2725941

[14]. Mahari, A., Sanaye-Pasand, M., & Hashemi, S. M. (2017). Adaptive phasor estimation algorithm to enhance numerical distance protection. IET Generation, Transmission & Distribution, 11(5), 1170-1178. https://doi.org/10.1049 /iet-gtd.2016.0911

[15]. MiCOM P437 (2012). Distance Protection Device Technical Manual. AREVA. Retrieved from https://www.se. com/nz/en/download/document/P437_EN_M_R-11-A__ 311_650/

[16]. Mohammad, P. (2018). A new DC-offset removal method for distance relaying application using intrinsic time-scale decomposition. IEEE Transaction on Power Delivery, 33(2), 971–980. https://doi.org/10.1109/TPWRD .2017.2728188

[17]. Pajuelo, E., Ramakrishna, G., & Sachdev, M.S. (2008). Phasor estimation technique to reduce the impact of coupling capacitor voltage transformer transients. IET Generation, Transmission & Distribution, 2(4), 588–599. https://doi.org/10.1049/iet-gtd:20070505

[18]. Pazoki, M. (2017). A new fault classifier in transmission lines using intrinsic time decomposition. IEEE Transactions on Industrial Informatics, 14(2), 619-628. https://doi.org/10 .1109/TII.2017.2741721

[19]. Power Systems Relaying Committee. (1981). Working Group of the Relay Input Sources Subcommittee,"Transient response of coupling capacitor voltage transformers,". IEEE Transactions on Power Apparatus and Systems, 100(12), 4811-4814.

[20]. Reis, R. L. A., Lopes, F. V., Neves, W. L. A. & Fernandes Jr., D. (2015). Influence of coupling capacitor voltage transformer on travelling wave based fault locators. In International Conference on Power Systems Transients (IPST2015).

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[22]. Tajdinian, M., Allahbakhshi, M., Seifi, A. R., & Bagheri, A. (2017). Analytical discrete Fourier transformer-based phasor estimation method for reducing transient impact of capacitor voltage transformer. IET Generation, Transmission & Distribution, 11(9), 2324-2332. https://doi.org/10.1049/ iet-gtd.2016.1784

[23]. Tajdinian, M., Allahbakhshi, M., Seifi, A. R., Jahromi, M. Z. & Behi, D. (2019). Auxiliary Prony-based algorithm for performance improvement of DFT phasor estimator against transient of CCVT. IET Science, Measurement & Technology, 13(5), 708-714. https://doi.org/10.1049/ietsmt. 2018.5390

[24]. Venkatesh, C., & Swarup, K. S. (2014). Performance assessment of distance protection fed by capacitor voltage transformer with electronic ferro-resonance suppression circuit. Electric Power Systems Research, 112, 12-19. https://doi.org/10.1016/j.epsr.2014.03.003

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Research Paper

Feasibility Analysis of Stand-Alone and Hybrid Energy Systems for Residential Loads

Priyanka Verma * , Hemant Verma **

*-** Department of Electrical Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Verma, P., and Verma, H. (2020). Feasibility Analysis of Stand-Alone and Hybrid Energy Systems for Residential Loads. i-manager’s Journal on Power Systems Engineering, 8(1), 31-36. https://doi.org/10.26634/jps.8.1.17567

Abstract

This work proposes a hybrid power generation system application for remote area. The performance of proposed system is compared with the metrological data for the optimization of hybrid renewable energy system at the Paradol village, Koriya, Chhattisgarh, India. There are two proposed energy systems; the first one consist of PV module alone and second one consist of PV module with hydro, i.e., hybrid power station. Also the second site is first optimized with PV alone and then hybrid with the hydro. For both optimizations, PV alone and hybrid PV-hydro are compared. The first module consists of PV panel, battery for storage and power converter. The second module consists of PV panel, battery for storage, hydro unit and power converter. All the data of Paradol village is taken from NASA (National Aeronautics and Space Administration). Also the flow rate data of hydro is taken from the Hasdeo River. The same capacity hybrid system is developed in HOMER software and an economic feasibility analysis is compared for both the systems. The parameters considered for the evaluations are NPC, LCOE, annual cost, CO emission and payback period.

References

[1]. Asrari, A., Ghasemi, A., & Javidi, M. H. (2012). Economic evaluation of hybrid renewable energy systems for rural electrification in Iran - A case study. Renewable and Sustainable Energy Reviews, 16(5), 3123-3130. https://doi. org/10.1016/j.rser.2012.02.052

[2]. Azmy, A. M., & Erlich, I. (2005, June). Impact of distributed generation on the stability of electrical power system. In IEEE Power Engineering Society General Meeting (pp. 1056-1063). IEEE. https://doi.org/10.1109/PES.2005. 1489354

[3]. Bajpai, P., Kumar, S., & Kishore, N. K. (2010, June). Sizing optimization and analysis of a stand-alone WTG system using hybrid energy storage technologies. In Proceedings of the International Conference on Energy and Sustainable Development: Issues and Strategies (ESD 2010) (pp. 1-6). IEEE. https://doi.org/10.1109/ESD.2010.5598789

[4]. Chhattisgarh State Renewable Energy Development Agency. (2020). Request for Proposal (RFP) for Selection of Bidders for Implementation of ~20 MWp Grid Connected Roof Top Solar PV Systems for Sale of Solar Power under RESCO Model for Government Buildings at Different locations in Chhattisgarh. CREDA. Retrieved from https:// jmkresearch.com/wp-content/uploads/2020/04/CREDA- 20-MW.pdf

[5]. Dursun, B., Gokcol, C., Umut, I., Ucar, E., & Kocabey, S. (2013). Techno-economic evaluation of a hybrid PV - Wind power generation system. International Journal of Green Energy, 10(2), 117-136. https://doi.org/10.1080/1543507 5.2011.641192

[6]. Hakimi, S. M., Moghaddas - Tafreshi, S. M., & Hassanzadeh Fard, H. (2011). Optimal sizing of reliable hybrid renewable energy system considered various load types. Journal of Renewable and Sustainable Energy, 3(6). https://doi.org/ 10.1063/1.3655372

[7]. Lal, D. K., Dash, B. B., & Akella, A. K. (2011). Optimization of PV/wind/micro-hydro/diesel hybrid power system in HOMER for the study area. International Journal on Electrical Engineering and Informatics, 3(3), 307-325.

[8]. Maherchandani, J. K., Agarwal, C., & Sahi, M. (2012). Economic feasibility of hybrid biomass/PV/wind system for remote villages using HOMER. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 1(2), 49-53.

[10]. Makhija, S. P., & Dubey, S. P. (2017). Optimally sized hybrid energy system for auxiliaries of a cement manufacturing unit with diesel fuel price sensitivity analysis. International Journal of Ambient Energy, 38(3), 267-272. https://doi.org/10.1080/01430750.2015.1086680

[11]. Ndukwe, C., Iqbal, T., Liang, X., & Khan, J. (2019). Optimal sizing and analysis of a small hybrid power system for Umuokpo Amumara in Eastern Nigeria. International Journal of Photoenergy, 1-7. https://doi.org/10.1155/2019/ 6960191

[12]. Nema, P., Nema, R. K., & Rangnekar, S. (2010). PVsolar/ wind hybrid energy system for GSM/CDMA type mobile telephony base station. International Journal of Energy and Environment, 1(2), 359-366.

[13]. Pepermans, G., Driesen, J., Haeseldonckx, D., Belmans, R., & D'haeseleer, W. (2005). Distributed generation: Definition, benefits and issues. Energy Policy, 33(6), 787-798. https://doi.org/10.1016/j.enpol.2003.10.004

[14]. Sen, R., & Bhattacharyya, S. C. (2014). Off-grid electricity generation with renewable energy technologies in India: An application of HOMER. Renewable Energy, 62, 388-398. https://doi.org/10.1016/j.renene.2013.07.028

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Research Paper

An Implementation of Solid Oxide Fuel Cell based Efficient and Low-Cost Hybrid Power System

Palak Shukla * , Mousam Sharma **

*-** Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Shukla, P., and Sharma, M. (2020). An Implementation of Solid Oxide Fuel Cell based Efficient and Low-Cost Hybrid Power System. i-manager’s Journal on Power Systems Engineering, 8(1), 37-44. https://doi.org/10.26634/jps.8.1.17618

Abstract

This project implements a fuel cell model supplying three-phase DC/AC inverter. Hybrid grid with fuel cell based Simulink model has been used. The fuel cell output voltage is comparable to the change of the air (oxidant) pressure, the hydrogen (fuel) pressure, and the current eliminated from the fuel cell. Three-phase DC/AC inverter has been used to supply the AC load. Symmetric space vector pulse width modulation has been used to stimulate the three-phase inverter so that minimum harmonic distortion is on the load side voltage and current. Simulation results have been provided to validate the design. In this project we make a renewal energy based Simulink model which interfaces with fuel cell and battery storage units.

References

[1]. Agalya, S., & Kavitha, R. (2014, March). Implementation of hybrid cascaded multilevel inverter with photovoltaic cell and fuel cell. In 2014, International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE) (pp. 1-5). IEEE. https://doi.org/10. 1109/ICGCCEE.2014.6922326

[2]. Chao, C. H. (2017, November). Numerical simulation for fuel cell power system. In 2017, 4th International Conference on Systems and Informatics (ICSAI) (pp. 257- 261). IEEE. https://doi.org/1.1109/ICSAI.2017.8248300

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[5]. Hawke, J., Enjeti, P., Palma, L., & Sarma, H. (2011, September). A modular fuel cell with hybrid energy storage. In 2011, IEEE Energy Conversion Congress and Exposition (pp. 2971-2976). IEEE. https://doi.org/10.1109/ECCE.2011 .6064169

[6]. Jayasankar, V. N., Gururaj, M. V., & Vinatha, U. (2016, March). A study on hybrid renewable energy source interface to the non-ideal grid at distribution level with power quality improvements. In 2016, IEEE 6th International Conference on Power Systems (ICPS) (pp. 1-5). IEEE. https:// doi.org/10.1109/ICPES.2016.7584239

[7]. Liu, L., Zhu, Y., Zhang, X., & Zhou, Y. (2018, October). A review of the mutual influence analysis of AC/DC hybrid power grid. In 2018, 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) (pp. 1-4). IEEE. https://doi.org/10.1109/EI2.2018.8582523

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[9]. Ren, L., Jin, K., Gu, L., & Wang, Z. (2016, September). A novel method of optimizing efficiency in hybrid photovoltaic-grid power system. In 2016, IEEE Energy Conversion Congress and Exposition (ECCE) (pp. 1-6). IEEE. https://doi.org/10.1109/ECCE.2016.7854737

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i-manager's Journal on Power Systems Engineering (JPS)

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Volume 8 Issue 1 February - April 2020

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*-** Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India. *** Department of Electronics and Communication Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India.

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Integrated Phasor Estimation Technique to Compensate Effect of CCVT Transient on Distance Protection

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Feasibility Analysis of Stand-Alone and Hybrid Energy Systems for Residential Loads

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An Implementation of Solid Oxide Fuel Cell based Efficient and Low-Cost Hybrid Power System

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Raina Jain * , Reshmita Sharma , Abhishek Mishra *

- Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Department of Electronics and Communication Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India.

Preeti Chandrakar * , Rahul Baghel , Swati Verma*

- Department of Electrical and Electronics Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Department of Electronics and Telecommunication Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.