Araştırma Makalesi

Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode

Cilt: 18 Sayı: 1 25 Mart 2022
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Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode

Öz

This paper presents a control system and energy management strategy with a standalone and grid-connected mode in the microgrid. The microgrid is energized by distributed generation system of a photovoltaic panel, wind turbine and lithium-ion batteries. In this paper, the controller structure for regulating the voltage regulation in this microgrid consisting of renewable energy sources and battery system is covered. Overshoot, rise time, settling performances of designed self-tuning fuzzy proportional-integral-derivative controller and conventional proportional-integral-derivative controller examined comparatively. In addition, an energy management system has been proposed for loads which fed in the microgrid. Here, the aim is to make maximum use of renewable energy sources as much as possible, to maintaining voltage regulation and to ensure continuity in the feeding of the critical load. The system switches between the standalone and grid-connected modes if necessary. A model of the microgrid's dynamic behavior was constructed and it is simulated in the MATLAB®/Simulink environment. The results show that despite the changes in the production and load side of the grid, voltage and frequency oscillations are stabilized within a short time and allowed tolerance limits.

Anahtar Kelimeler

Kaynakça

  1. Merabet, A, Tawfique, KA, Ibrahim, H, Beguenane, R and Ghias, AMYM. 2017. Energy Management and Control System for Laboratory Scale Microgrid Based Wind-PV-Battery. IEEE Transactions on Sustainable Energy; 8(1): 145-154.
  2. Bai, W and Lee, K. 2014. Distributed Generation System Control Strategies in Microgrid Operation. IFAC Proceedings; 47(3): 11938-11943.
  3. El-Bidairi, KS, Nguyen, HD, Jayasinghe, SDG, Mahmoud, TS, Penesis, I. 2018. A hybrid energy management and battery size optimization for standalone microgrids: A case study for Flinders Island, Australia. Energy Conversion and Management; 175: 192-212.
  4. Tummuru, NR, Mishra MK and Srinivas, S. 2015. An Improved Current Controller for Grid Connected Voltage Source Converter in Microgrid Applications. IEEE Transactions on Sustainable Energy, 6(2): 595-605.
  5. Bhosale, R and Agarwal, V. 2019. Fuzzy Logic Control of the Ultracapacitor Interface for Enhanced Transient Response and Voltage Stability of a DC Microgrid. IEEE Transactions on Industry Applications; 55(1):712-720.
  6. Kim, JY, Kim, HM, Kim, SK, Jeon, JH, Choi, HK. 2019. Designing an Energy Storage System Fuzzy PID Controller for Microgrid Islanded Operation. Energies; 4(9):1443-1460.
  7. Vigneysh, T and Kumarappan, N. Stability analysis and dynamic performance enhancement of autonomous microgrid using adaptive fuzzy PI controller, IEEE Congress on Evolutionary Computation (CEC), San Sebastian, 2017, pp. 1199-1206.
  8. Bayhan, S, Demirbas, S and Abu-Rub, H. 2016. Fuzzy-PI-based sensorless frequency and voltage controller for doubly fed induction generator connected to a DC microgrid. IET Renewable Power Generation; 10(8):1069-1077.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

25 Mart 2022

Gönderilme Tarihi

28 Kasım 2020

Kabul Tarihi

4 Şubat 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 18 Sayı: 1

Kaynak Göster

APA
Kaysal, A., Köroğlu, S., & Oğuz, Y. (2022). Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode. Celal Bayar University Journal of Science, 18(1), 41-51. https://doi.org/10.18466/cbayarfbe.832874
AMA
1.Kaysal A, Köroğlu S, Oğuz Y. Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode. Celal Bayar University Journal of Science. 2022;18(1):41-51. doi:10.18466/cbayarfbe.832874
Chicago
Kaysal, Ahmet, Selim Köroğlu, ve Yüksel Oğuz. 2022. “Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode”. Celal Bayar University Journal of Science 18 (1): 41-51. https://doi.org/10.18466/cbayarfbe.832874.
EndNote
Kaysal A, Köroğlu S, Oğuz Y (01 Mart 2022) Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode. Celal Bayar University Journal of Science 18 1 41–51.
IEEE
[1]A. Kaysal, S. Köroğlu, ve Y. Oğuz, “Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode”, Celal Bayar University Journal of Science, c. 18, sy 1, ss. 41–51, Mar. 2022, doi: 10.18466/cbayarfbe.832874.
ISNAD
Kaysal, Ahmet - Köroğlu, Selim - Oğuz, Yüksel. “Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode”. Celal Bayar University Journal of Science 18/1 (01 Mart 2022): 41-51. https://doi.org/10.18466/cbayarfbe.832874.
JAMA
1.Kaysal A, Köroğlu S, Oğuz Y. Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode. Celal Bayar University Journal of Science. 2022;18:41–51.
MLA
Kaysal, Ahmet, vd. “Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode”. Celal Bayar University Journal of Science, c. 18, sy 1, Mart 2022, ss. 41-51, doi:10.18466/cbayarfbe.832874.
Vancouver
1.Ahmet Kaysal, Selim Köroğlu, Yüksel Oğuz. Self-tuning Fuzzy PID Controller Design and Energy Management in DC Microgrid: Standalone and Grid Connected Mode. Celal Bayar University Journal of Science. 01 Mart 2022;18(1):41-5. doi:10.18466/cbayarfbe.832874

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