Comparative Performance analysis of DVR & DSTATCOM for Distributed Generation with Gravitational Search Algorithm
https://doi.org/10.17586/2226-1494-2023-23-3-635-645
Abstract
The progress in the stream of the power electronic converters has led to the expansion of various protection devices for the distribution system. This also has led to an assortment of flexible transmission devices aiming to enhance the stability of the system throughout a variety of power quality issues and, furthermore, for enabling flexible uninterrupted power transmission during turbulences. This paper augments the employment of two Custom Power Devices, namely, Dynamic Voltage Restorer and Distribution Static Compensator for dealing with various power quality issues associated with distributed generation systems. This paper also involves analysis of performance of proposed Custom Power Devices with various algorithms, like gravitational search algorithm, BAT algorithm and ANT colony optimization algorithm for improving the stability of the power system. The proposed system has been tested with various distributed systems, fault conditions, and assessment has been performed among different algorithms in terms of supply voltage, supply current, active power, reactive power, and power factor. The design and analysis of entire system has been executed using MATLAB/Simulink.
About the Authors
K. Bhavya
Jawaharlal Nehru Technological University, Kakinada (JNTUK)
India
India
Kanchanapalli Bhavya — Researcher
Kakinada, 500085
P. V. V. Rama Rao
Maturi Venkata Subba Rao (MVSR) Engineering College
India
India
Pokanati Veera Venkata Rama Rao — PhD, Professor
sc 55060290900
Hyderabad, 501510
L. Ravi Srinivas
Gudlavalleru Engineering College
India
India
Lanka Ravi Srinivas — PhD, Professor
sc 58117138300
Gudlavalleru, 533003
References
1. Hossain E., Tür M.R., Padmanaban S., Ay S., Khan I. Analysis and mitigation of power quality issues in distributed generation systems using custom power devices. IEEE Access, 2018, vol. 6, pp. 16816– 16833. https://doi.org/10.1109/Access.2018.2814981
2. Afzal M.J., Arshad A., Ahmed S., Tariq S.B., Kazmi S.A.A. A review of DGs and FACTS in power distribution network: methodologies and objectives. Proc. of the 2018 International Conference on Computing, Mathematics and Engineering Technologies (ICOMET), 2018, pp. 1–7. https://doi.org/10.1109/Icomet.2018.8346405
3. Remya V.K., Parthiban P., Ansal V., Chitti Babu B. Dynamic Voltage Restorer (DVR) — A review. Journal of Green Engineering, 2018, vol. 8, no. 4, pp. 519–572.
4. Khatoon N., Shaik S. Survey on different types of flexible ac transmission systems (FACTS) controllers. International Journal of Engineering Development and Research, 2017, vol. 5, no. 4, pp. 796–814.
5. Bharti H., Arya J.S., Arya A.K. Power loss minimization with multiple DGs in distribution system using gravitational search algorithm. International Journal of Engineering Development and Research, 2018, vol. 6, no. 3, pp. 101–106.
6. Kumar L., Kumar S., Kumar Gupta S., Raw B.K. Optimal location of FACTS devices for loadability enhancement using gravitational search algorithm. Proc. of the IEEE 5th International Conference for Convergence in Technology (I2CT), 2019, pp. 1–5. https://doi.org/10.1109/I2CT45611.2019.9033561
7. Zhang J., Liu K., Liu Y., He S., Tian W. Active power decoupling and controlling for single-phase FACTS device. The Journal of Engineering, 2019, no. 16, pp. 1333–1337. https://doi.org/10.1049/joe.2018.8823
8. Therattil J.P., Jose J., Prasannakumari R.P.N., Abo-khalil A.G., Alghamdi A.S., Rajalekshmi B.G., Sayed K. Hybrid control of a multi-area multi-machine power system with FACTS devices using non-linear modelling. IET Generation, Transmission & Distribution, 2020, vol. 14, no. 10, pp. 1993–2003. https://doi.org/10.1049/ietgtd.2019.1165
9. Geleta D.K., Manshahia M.S. Gravitational search algorithm-based optimization of hybrid wind and solar renewable energy system. Computational Intelligence, 2022, vol. 38, no. 3, pp. 1106–1132. https://doi.org/10.1111/coin.12336
10. Rayudu K., Yesuratnam G., Jayalaxmi A. Bat algorithm and ant colony optimization based optimal reactive power dispatch to improve voltage stability. European Journal of Engineering Research and Science, 2017, vol. 2, no. 6, pp. 27–35. https://doi.org/10.24018/ejers.2017.2.6.378
11. Nagaraju G., Shankar S. Gravitational search algorithm for power quality improvement of WECS with UPQC. International Journal of Intelligent Engineering and Systems, 2019, vol. 12, no. 1, pp. 133– 141. https://doi.org/10.22266/ijies2019.0228.14
12. Chawda G.S., Shaik A.G., Mahela O.P., Padmanaban S., HolmNielsen J.B. Comprehensive review of distributed FACTS control algorithms for power quality enhancement in utility grid with renewable energy penetration. IEEE Access, 2020, vol. 8, pp. 107614– 107634. https://doi.org/10.1109/ACCESS.2020.3000931
13. Peres W. Robust design of modern multi-band PSS using gravitational search algorithm. Proc. of the 2018 Simposio Brasileiro de Sistemas Eletricos (SBSE), 2018, pp. 1–6. https://doi.org/10.1109/SBSE.2018.8395558
14. Zhu L., He S., Wang L., Zeng W., Yang J. Feature selection using an improved gravitational search algorithm. IEEE Access, 2019, vol. 7, pp. 114440–114448. https://doi.org/10.1109/ACCESS.2019.2935833
15. Pervez I., Sarwar A., Tayyab M., Sarfraz M. Gravitational search algorithm (GSA) based maximum power point tracking in a solar PV based generation system. Proc. of the 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), 2019, pp. 1–6. https://doi.org/10.1109/i-PACT44901.2019.8960130
16. Dorigo M., Stützle T. Ant Colony Optimization. Cambridge, MA, MIT Press, 2004, 305 p.
17. Dorigo M. Optimization, learning and natural algorithms. PhD thesis. Dipartimento di Elettronica, Politecnico di Milano, Italy, 1992. (in Italian)
18. Dorigo M., Maniezzo V., Colorni A. Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996, vol. 26, no. 1, pp. 29– 41. https://doi.org/10.1109/3477.484436
19. Bullnheimer B., Hartl R., Strauss C. A new rank based version of the Ant System: A computational study. Central European Journal for Operations Research and Economics, 1999, vol. 7, no. 1, pp. 25–38.
20. Yang X.-S., He X. Bat algorithm: literature review and application. International Journal of Bio-Inspired Computation, 2013, vol. 5, no. 3, pp. 141–149. https://doi.org/10.1504/ijbic.2013.055093
Review
For citations:
Bhavya K., Rama Rao P., Ravi Srinivas L. Comparative Performance analysis of DVR & DSTATCOM for Distributed Generation with Gravitational Search Algorithm. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2023;23(3):635-645. https://doi.org/10.17586/2226-1494-2023-23-3-635-645
Views:
16
Email this article 