A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources

Srinivas Singirikonda  -  School of Electrical Engineering, VIT University, Vellore Tamil Nadu-632014, India
*Y.P. Obulesu  -  School of Electrical Engineering, VIT University, Vellore Tamil Nadu-632014, India
Received: 20 Oct 2017; Revised: 12 Jun 2019; Accepted: 22 Dec 2019; Published: 18 Feb 2020; Available online: 15 Feb 2020.
Open Access Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

Citation Format:
Abstract
In this paper, a novel Q/P droop control strategy for regulating the voltage and frequency in Standalone micro grid with multiple renewable sources like solar and wind is presented. The frequency and voltage control strategy is applied to a Standalone micro grid with high penetration of intermittent renewable generation system. Adaptive Neuro-Fuzzy logic Interface system (ANFIS) controller is used for frequency and voltage control for Renewable generation system. Battery energy storage system (BESS) is used to generate nominal system frequency instead of using the synchronous generator for frequency control strategy. A synchronous generator is used to maintain the state of charge (SOC) of the BESS, but it has limited capacity. For Voltage control strategy, we proposed reactive power/active power (Q/P) droop control to the conventional reactive power controller which provides voltage damping effect. The induced voltage fluctuations are reduced to get nominal output power. The proposed model is tested on different cases and results show that the proposed method is capable of compensating voltage and frequency variations occurring in the micro grid with minimal rated synchronous generator. ©2020. CBIORE-IJRED. All rights reserved
Keywords: Adaptive Neuro-Fuzzy Interface System (ANFIS); Battery energy storage system (BESS); State of charge (SOC); Frequency control; Q/P Droop control; standalone micro grid; voltage damping effect; voltage control

Article Metrics:

Article Info
Section: Original Research Article
Language: EN
In Vol 9, No 1 (2020): February 2020
Statistics: 1043 743
Others articles
Development of Formaldehyde Adsorption using Modified Activated Carbon – A Review Modeling and PSO optimization of Humidifier-Dehumidifier desalination Batch and Fed-Batch Fermentation System on Ethanol Production from Whey using Kluyveromyces marxianus Performance of Loaded Thermal Storage Unit with a Commercial Phase Change Materials based on Energy and Exergy Analysis Direct Ethanol Production from Breadfruit Starch (Artocarpus communis Forst.) by Engineered Simultaneous Saccharification and Fermentation (ESSF) using Microbes Consortium Design, Analysis and Optimization of a Solar Dish/Stirling System
  1. Carvalho, Pedro M, S., Correia, Pedro F. & Ferreira, Luís A, F, M. (2008) Distributed reactive power generation control for voltage rise mitigation in distribution networks. IEEE Transactions on Power Systems, 23(2), 766–772
  2. Diaz, G., Gonzalez-Moran, C., Gomez-Aleixandre, J. &Diez, A. (2010) Scheduling of droop coefficients for frequency and voltage regulation in isolated micro-grids. IEEE Transactions on Power Systems, 25(1), 489– 496
  3. Divya, K, C., Ostergaard, J. (2009) Battery energy storage technology for power systems – an overview. Electrical Power Systems Research, 79(4), 511–520
  4. Ekanayake, J., & Jenkins, N. (2004) Comparison of the response of doubly fed and fixed-speed induction generator wind turbines to changes in network frequency. IEEE Transactions on Energy Convers,19(4), 800–803
  5. Ekanayake, J., Holdsworth, L., & Jenkins, N. (2003) Control of DFIG wind Turbines. Power Engineering, 17(1), 28–32
  6. Jang, J. (1993) ANFIS: Adaptive-Network-based Fuzzy Inference Systems, IEEE Transactions on Systems, Man, and Cybernetics, 23(3) ,665-685
  7. Keung, P., Li, P., Banakar, H. & Ooi, B. (2009) Kinetic energy of wind turbine Generators for system frequency support. IEEE Transactions on Power Systems, 24(1), 279–287
  8. Kim, Y, J. (2010) Optimal control of DG output voltage considering switching operation of ULTC and SC in distribution power systems. M.S. thesis, Seoul Nat University, Seoul, Korea
  9. Lalor, G., A. Mullane, A. & O’Malley, M. (2005) Frequency control and wind Turbine technologies. IEEE Transactions on Power Systems, 20(4), 1905– 1913
  10. Park, M. & Yu, I, K. (2001) Photovoltaic generation system simulation using real field weather condition. Journal of KIEE, 5(2),169–174
  11. Rana, R., Singh, M. & Mishra, S. (2017) Design of Modified Droop Controller for Frequency Support in Microgrid Using Fleet of Electric Vehicles. IEEE Transactions on Power Systems , 32(5), 3627 – 3636
  12. Schlabbach, J., Blume, D. & Stephanblome, T. (2001) Voltage quality in electric power system. IET Digital Library
  13. Scott, GW., Wilreker, VF., Shaltens RK. (1984) Wind turbine generator interaction with diesel generators on an isolated power system. IEEE Transactions on Power Apparatus and Systems,103(5), 28-29
  14. Senjyu, T., Miyazato, Y. & Yona, A. (2008) Optimal distribution voltage control and coordination with distributed generation. IEEE Transactions on Power Delivery, 23(2), 1236–1242
  15. Serban, I., Marinescu, C. (2011) Frequency control issues in microgrids with renewable energy sources. 7th international symposium on advanced topics in electrical engineering (ATEE), Bucharest, Romania, 1–6
  16. Shayeghi, H., Shayanfar, H, A., Jalili, A. (2009) Load frequency control strategies: a state-of-the-art survey for the researcher. Energy Convers Manage, 50(2), 344–353
  17. Srinivas, Singirikonda., Sathish Goud, G & Harika Reddy, M. (2014) Transient Stability of A.C Generator Controlled by Using Fuzzy Logic Controller. International Journal of Engineering Research and Applications, 4 (3), 389-395
  18. Sumina, D., Erceg, G. & Idzotic, T. (2005) Excitation control of a synchronous generator using fuzzy logic stabilizing controller. 2005 European Conference on Power Electronics and Applications, Dresden, Germany
  19. Velasco de la Fuente, D., Trujillo, C., Garcera, G., Figueres, E & Ortega, R. (2013) Photovoltaic Power System with Battery Backup with Grid-Connection and an Islanded Operation Capabilities. IEEE Transactions on Industrial Electronics, 60(4),1571 – 1581

Last update: 2021-05-17 01:56:36

No citation recorded.

Last update: 2021-05-17 01:56:36

No citation recorded.
Copyright (c) 2020
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Articles are freely available to both subscribers and the wider public with permitted reuse.

All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options: Creative Commons Attribution-ShareAlike (CC BY-SA). Authors and readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.