DOI: https://doi.org/10.14710/ijred.9.1.43-51

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

School of Electrical Engineering, VIT University, Vellore Tamil Nadu-632014, India

Received: 20 Oct 2017; Revised: 12 Jun 2019; Accepted: 22 Dec 2019; Available online: 15 Feb 2020; Published: 18 Feb 2020.
Editor(s): H Hadiyanto

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
Fulltext View|Download
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
Recent articles
Energy Resource of Charcoals Derived from Some Tropical Fruits Nuts Shells Biohydrogen Production by Reusing Immobilized Mixed Culture in Batch System A Novel Approach Using Adaptive Neuro Fuzzy Based Droop Control Standalone Microgrid In Presences of Multiple Sources Assessing the Current Status of Renewable Energies and Their Limitations in Iran The influence of microbial community dynamics on anaerobic digestion efficiency and stability: A Review Effect of Power and Time in Pectin Production from Cocoa Pod Husk Using Microwave-Assisted Extraction Technique Energy Analysis of a Hybrid Solar Dryer for Drying Coffee Beans Multi-Feedstocks Biodiesel Production from Esterification of Calophyllum inophyllum Oil, Castor Oil, Palm Oil and Waste Cooking Oil More recent articles
Most cited articles
Status and Benefits of Renewable Energy Technologies in the Rural Areas of Ethiopia: A Case Study on Improved Cooking Stoves and Biogas Technologies Comparison of single and double stage regenerative organic rankine cycle for medium grade heat source through energy and exergy estimation A Linear Regression Model for Global Solar Radiation on Horizontal Surfaces at Warri, Nigeria A Novel Global MPP Tracking of Photovoltaic System based on Whale Optimization Algorithm Simulation of biogas utilization effect on the economic efficiency and greenhouse gas emission: a case study in Isfahan, Iran More cited articles
  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:

  1. AGC in the Multi-Area Thermal System with Integration of Distribution Generation on the Frequency of the System Using the Classical PID & Hybrid Neuro-Fuzzy Controllers

    Getaneh Mesfin Meseret, Lalit Chandra Saikia. IETE Journal of Research, 69 (12), 2023. doi: 10.1080/03772063.2022.2083024

  2. Resonant Converter Topology Fundamentals And Practical Design Challenges

    G.Kiran Kumar, D. Elangovan, Srinivas Singirikonda, Shaik Karimulla, Chandra sekhar Reddy Gade, S. Deepaprasath. 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 2021. doi: 10.1109/i-PACT52855.2021.9696682

Last update: 2025-07-02 02:52:42

No citation recorded.