Skip to main content

2021 | OriginalPaper | Buchkapitel

Improvement of Voltage Regulation in an IEEE 9-Bus Radial Microgrid Feeder Using Regression Model

verfasst von : Yuvraj Praveen Soni, Eugene Fernandez

Erschienen in: Recent Advances in Power Systems

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, an effort has been made to improve voltage regulation (VR) in a radial bus, typically used in a rural microgrid distribution network. As a case study example, an IEEE 9-bus radial feeder has been considered. The methodology uses a regression-based model that involves five input parameters for obtaining the voltage at a particular bus of the feeder. It has been seen that the addition of a suitable magnitude of leading reactive power at the last bus can improve the regulation. The object of this study is to analyze the impact of the magnitude of the injected reactive power that will improve the voltage regulation at the worst affected bus (the last bus), with voltage levels at other buses in acceptable limits. The study shows that although the injected VAR does help to improve the VR, the changes, however, are not very significant. Thus, a conclusion can be drawn that in IEEE 9-bus system, reactive compensation at the extreme bus is not the best solution to obtain appreciable voltage improvement in the system. The injection at other buses can be tried in seeking VR improvements

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Salama, M.M.A., Chikhani, A.Y.: A simplified network approach to the VAR control problem for radial distribution systems. IEEE Trans. Power Delivery 8(3), 1529–1535 (1993)CrossRef Salama, M.M.A., Chikhani, A.Y.: A simplified network approach to the VAR control problem for radial distribution systems. IEEE Trans. Power Delivery 8(3), 1529–1535 (1993)CrossRef
2.
Zurück zum Zitat Berg Jr., R., Hawkins, E.S., Pleines, W. W.: Mechanized calculation of unbalanced load flow on radial distribution circuits. IEEE Trans. Power Apparatus Syst. 86(4), 415–421 (1967) Berg Jr., R., Hawkins, E.S., Pleines, W. W.: Mechanized calculation of unbalanced load flow on radial distribution circuits. IEEE Trans. Power Apparatus Syst. 86(4), 415–421 (1967)
3.
Zurück zum Zitat Chang, G.W., Chu, S.Y., Wang, H.L.: An improved backward–forward sweep load flow algorithm for radial distribution systems. IEEE Trans. Power Syst. 22(2), 882–884 (2007)CrossRef Chang, G.W., Chu, S.Y., Wang, H.L.: An improved backward–forward sweep load flow algorithm for radial distribution systems. IEEE Trans. Power Syst. 22(2), 882–884 (2007)CrossRef
4.
Zurück zum Zitat Singh, N., Ghosh, S., Murari, K.: Optimal sizing and placement of DG in a radial distribution network using sensitivity based methods. Int. Electr. Eng. J. (IEEJ) 6(1), 1727–1734 (2015) Singh, N., Ghosh, S., Murari, K.: Optimal sizing and placement of DG in a radial distribution network using sensitivity based methods. Int. Electr. Eng. J. (IEEJ) 6(1), 1727–1734 (2015)
5.
Zurück zum Zitat Wang, Z., Chen, F., Li, J.: Implementing transformer nodal admittance matrices into backward/forward sweep based power flow analysis for unbalanced radial distribution system. IEEE Trans. Power Syst. 19(4), 1831–1836 (2004)CrossRef Wang, Z., Chen, F., Li, J.: Implementing transformer nodal admittance matrices into backward/forward sweep based power flow analysis for unbalanced radial distribution system. IEEE Trans. Power Syst. 19(4), 1831–1836 (2004)CrossRef
6.
Zurück zum Zitat Zhang, F., Cheng, C.S.: A modified Newton method for radial distribution system power flow analysis. IEEE Trans. Power Syst. 12(1), 389–397 (1997)CrossRef Zhang, F., Cheng, C.S.: A modified Newton method for radial distribution system power flow analysis. IEEE Trans. Power Syst. 12(1), 389–397 (1997)CrossRef
7.
Zurück zum Zitat Exposito, A.G., Ramos, E.R.: Reliable load flow technique for radial distribution networks. IEEE Trans. Power Syst. 14(3), 1063–1069 (1999)CrossRef Exposito, A.G., Ramos, E.R.: Reliable load flow technique for radial distribution networks. IEEE Trans. Power Syst. 14(3), 1063–1069 (1999)CrossRef
8.
Zurück zum Zitat Chen, T.H., Chen, M.S., Hwang, K.J., Kotas, P., Chebli, E.A.: Distribution system power flow analysis—a rigid approach. IEEE Trans. Delivery 6(3), 1146–1153 (1991)CrossRef Chen, T.H., Chen, M.S., Hwang, K.J., Kotas, P., Chebli, E.A.: Distribution system power flow analysis—a rigid approach. IEEE Trans. Delivery 6(3), 1146–1153 (1991)CrossRef
9.
Zurück zum Zitat Thukaram, D., Banda, H.M.W., Jerome, J.: A robust three-phase power flow algorithm for radial distribution systems. Electr. Power Syst. Res. 50(3), 227–236 (1999)CrossRef Thukaram, D., Banda, H.M.W., Jerome, J.: A robust three-phase power flow algorithm for radial distribution systems. Electr. Power Syst. Res. 50(3), 227–236 (1999)CrossRef
10.
Zurück zum Zitat Das, D., Nagi, H.S., Kothari, D.P.: Novel method for solving radial distribution networks. IEE-Part C 141(4), 291–298 (1994) Das, D., Nagi, H.S., Kothari, D.P.: Novel method for solving radial distribution networks. IEE-Part C 141(4), 291–298 (1994)
11.
Zurück zum Zitat Das, D, Kothari, D.P., Kalam, A.: Simple and efficient method for radial distribution networks. Electr. Power Energy Syst.17(5), 335–346 (1995) Das, D, Kothari, D.P., Kalam, A.: Simple and efficient method for radial distribution networks. Electr. Power Energy Syst.17(5), 335–346 (1995)
12.
Zurück zum Zitat Ghosh, S., Das, D.: Method for load flow solution of radial distribution networks. IEE Proc. Gen. Trans. Distribution 146(6), 641–648 (1999)CrossRef Ghosh, S., Das, D.: Method for load flow solution of radial distribution networks. IEE Proc. Gen. Trans. Distribution 146(6), 641–648 (1999)CrossRef
13.
Zurück zum Zitat Teng, J.H.: A Direct approach for distribution system load flow solutions. IEEE Trans. Power Delivery 18(3), 882–887 (2003)CrossRef Teng, J.H.: A Direct approach for distribution system load flow solutions. IEEE Trans. Power Delivery 18(3), 882–887 (2003)CrossRef
14.
Zurück zum Zitat Anwar, S., Mikami, Y.: Comparing accuracy performance of ANN, MLR, and GARCH model in predicting time deposit return of Islamic Bank. Int. J. Trade Econ. Finance 2(1), 1–8 (2011) Anwar, S., Mikami, Y.: Comparing accuracy performance of ANN, MLR, and GARCH model in predicting time deposit return of Islamic Bank. Int. J. Trade Econ. Finance 2(1), 1–8 (2011)
15.
Zurück zum Zitat Desai, V.S., Bharati, R.: A comparison of linear regression and neural network methods for predicting excess returns on large stocks. Ann. Oper. Res. 78(1), 127–163 (1998)MATHCrossRef Desai, V.S., Bharati, R.: A comparison of linear regression and neural network methods for predicting excess returns on large stocks. Ann. Oper. Res. 78(1), 127–163 (1998)MATHCrossRef
16.
Zurück zum Zitat Tosun, E., Aydin, K., Bilgili, M.: Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures. Alexandria Eng. J. 55(1), 3081–3089 (2016)CrossRef Tosun, E., Aydin, K., Bilgili, M.: Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures. Alexandria Eng. J. 55(1), 3081–3089 (2016)CrossRef
17.
Zurück zum Zitat Tsekouras, G.J., Dialynas, E.N., Hatziargyriou, N.D., Kavatza, S.: A non-linear multivariable regression model for midterm energy forecasting of power systems. Electr. Power Syst. Res. 77(12), 1560–1568 (2007)CrossRef Tsekouras, G.J., Dialynas, E.N., Hatziargyriou, N.D., Kavatza, S.: A non-linear multivariable regression model for midterm energy forecasting of power systems. Electr. Power Syst. Res. 77(12), 1560–1568 (2007)CrossRef
18.
Zurück zum Zitat Marčiukaitis, M., Žutautaitė, I., Martišauskas, L., Jokšas, B., Gecevičius, G.S, Sfetsos, A.: Nonlinear regression model for wind turbine power curve. Renewable Energy 113(1), 732–741 (2017) Marčiukaitis, M., Žutautaitė, I., Martišauskas, L., Jokšas, B., Gecevičius, G.S, Sfetsos, A.: Nonlinear regression model for wind turbine power curve. Renewable Energy 113(1), 732–741 (2017)
19.
Zurück zum Zitat Hahne, J.M.: Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control. IEEE Trans. Neural Syst. Rehabil. Eng. 22(2), 269–279 (2014)CrossRef Hahne, J.M.: Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control. IEEE Trans. Neural Syst. Rehabil. Eng. 22(2), 269–279 (2014)CrossRef
20.
Zurück zum Zitat de Matos, E.O., Mota Soares, T., Bezerra, U.H., Tostes, M.E.D. L., Manito, A.R.A., Costa, B.C.: Using linear and non-parametric regression models to describe the contribution of non-linear loads on the voltage harmonic distortions in the electrical grid. IET Generation Transmission Distrib. 10(8), 1825–1832 (2016) de Matos, E.O., Mota Soares, T., Bezerra, U.H., Tostes, M.E.D. L., Manito, A.R.A., Costa, B.C.: Using linear and non-parametric regression models to describe the contribution of non-linear loads on the voltage harmonic distortions in the electrical grid. IET Generation Transmission Distrib. 10(8), 1825–1832 (2016)
21.
Zurück zum Zitat Shakouri, H., Nadimi, G.R., Ghaderi, F.: Fuzzy linear regression models with absolute errors and optimum uncertainty. In: International Conference on Industrial Engineering and Engineering Management, pp. 917–921. IEEE, Singapore (2007) Shakouri, H., Nadimi, G.R., Ghaderi, F.: Fuzzy linear regression models with absolute errors and optimum uncertainty. In: International Conference on Industrial Engineering and Engineering Management, pp. 917–921. IEEE, Singapore (2007)
22.
Zurück zum Zitat Gujarati, D.N.: Basic Econometrics. 4th edn. Mc Graw-Hill Companies, New York (2004) Gujarati, D.N.: Basic Econometrics. 4th edn. Mc Graw-Hill Companies, New York (2004)
23.
Zurück zum Zitat Soni, Y.P., Fernandez, E., Singh, R.: Evaluation of loading of individual buses on voltage regulation in a radial microgrid feeder. In: International Conference on Electrical, Electronics and Computer Engineering (UPCON), pp. 1–4. IEEE, ALIGARH, India (2019) Soni, Y.P., Fernandez, E., Singh, R.: Evaluation of loading of individual buses on voltage regulation in a radial microgrid feeder. In: International Conference on Electrical, Electronics and Computer Engineering (UPCON), pp. 1–4. IEEE, ALIGARH, India (2019)
24.
Zurück zum Zitat Babu, G.K., Samala, R.K.: Load flow analysis of a 9-bus system using BFSLF algorithm. Int. J. Electron. Commun. Eng. (IJECE) 4(6), 17–22 (2015) Babu, G.K., Samala, R.K.: Load flow analysis of a 9-bus system using BFSLF algorithm. Int. J. Electron. Commun. Eng. (IJECE) 4(6), 17–22 (2015)
Metadaten
Titel
Improvement of Voltage Regulation in an IEEE 9-Bus Radial Microgrid Feeder Using Regression Model
verfasst von
Yuvraj Praveen Soni
Eugene Fernandez
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7994-3_5