Design and Implementation of Neural Network Controller based Modified UIPC for Power Flow Control in grid connected Hybrid Microgrids

Authors

  • Boreddy Sravani  M. Tech Student, Department of Electrical and Electronics Engineering, SVPCET (Autonomous), Puttur, Karnataka, India
  • Dr. K Siva Kumar  Associate Professor, HoD, Department of Electrical and Electronics Engineering, SVPCET (Autonomous), Puttur, Karnataka, India
  • M Harish Kumar  Assistant Professor, Department of Electrical and Electronics Engineering, SVPCET (Autonomous), Puttur, Karnataka, India

Keywords:

Modified UIPC, Neural Networks, FLC, Power converter, hybrid systems

Abstract

In this research work, Design and Implementation of Neural Network Controller based Modified UIPC for Power Flow Control in grid connected Hybrid Microgrids is implemented. In the conventional system, parallel converters are employed for the power conversion process in Hybrid microgrids which consists of AC and DC microgrids. This increases the system complexity and power losses. So, in order to overcome these issues a Modified UIPC is implemented. This UIPC consists of mainly two converters they are line power converter and Bus power converter (BPC). In this BPC is used to regulate the voltage at the DC link Side. A Fuzzy Logic Controller based controlling topology is employed in the BPC as a traditional method. But by employing FLC will imprecise data and has harmonic distortions. In order to overcome these issues this paper proposes a NN Controller based topology. This NN topology will be designed by using the input which reduces the system performance by improving good power quality. The simulation results of this proposed method can be evaluated by using Matlab/Simulink Software.

References

  1. Runfan Zhang, Branislav Hredzak, "Distributed Finite-Time Multi-Agent Control for DC Microgrids with Time Delays”, IEEE Transactions on Smart Grid, Early Access, 2018.
  2. Kumar Utkarsh, et al, "Distributed Model-predictive Real-time Optimal Operation of a Network of Smart Microgrids", IEEE Transactions on Smart Grid, Early Access, 2018.
  3. Haifeng Qiu, et al, " Bi-level Two-stage Robust Optimal Scheduling for AC/DC Hybrid Multi-microgrids", IEEE Transactions on Smart Grid, Early Access, 2018.
  4. Pengfeng Lin, et al, "A Distributed Control Architecture for Global System Economic Operation in Autonomous Hybrid AC/DC Microgrids", IEEE Transactions on Smart Grid, Early Access, 2018.
  5. Daniel E. Olivares, et al, "Trends in Microgrid Control", IEEE Transactions on Smart Grid Volume: 5, Issue: 4, pp. 1905 – 1919, 2014.
  6. Jongwoo Choi, et al, "Robust Control of a Microgrid Energy Storage System using Various Approaches", IEEE Transactions on Smart Grid, Early Access, 2018.
  7. Huanhai Xin, et al., "A Decentralized Hierarchical Control Structure and Self-Optimizing Control Strategy for F-P Type DGs in Islanded Microgrids", IEEE Transactions on Smart Grid, Volume: 7, Issue: 1, pp. 3 – 5, 2016.
  8. Priyank Srivastava, Rashmi Pardhi “A Review on Power System Stability and Applications of FACT Devices” International Journal of Engineering Research and Applications, Volume: 3, Issue: 3, pp.879-883, 2013.
  9. Akanksha Mishra and G.V. Nagesh Kumar, “Congestion Management of Power System with Interline Power Flow Controller Using Disparity Line Utilization Factor and Multi-objective Differential Evolution” CSEE Journal of Power and Energy Systems, Volume: 1, Issue: 3, pp. 76 - 85 2015.
  10. B. Vijay Kumar, et al., "Optimization of UPFC location and capacity to improve the stability using ABC and GSA algorithm", IEEE, Power and Energy Conference at Illinois (PECI), 2015.
  11. K.K. Sen, "SSSC-static synchronous series compensator: theory, modeling, and application", IEEE Transactions on Power Delivery, Volume: 13, Issue: 1, pp. 241 - 246 ,1998.
  12. J. Pourhossein, et al., "Unified Interphase Power Controller (UIPC) Modeling and Its Comparison with IPC and UIPFC", IEEE

International Journal of Scientific Research in Science and Technology

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Published

2023-02-28

Issue

Volume 10, Issue 1, January-February-2023

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Boreddy Sravani, Dr. K Siva Kumar, M Harish Kumar "Design and Implementation of Neural Network Controller based Modified UIPC for Power Flow Control in grid connected Hybrid Microgrids" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 1, pp.239-252, January-February-2023.