Network dynamics in hybrid microgrid and its implications on stability analysis
-
Diksha Jain
and
Dipti Saxena
Abstract
Dynamic load is one of the significant factor affecting the stability of hybrid microgrid (MG), owing to their frequency and voltage dependency. As compared with the static load, a small variation in voltage or frequency significantly influences the stability of MG having dynamic load. Therefore, it necessitates considering the dynamics of load for stability analysis of an MG. Moreover, the stability issues become more critical for the islanded operation. This paper investigates the small signal (SS) stability of a hybrid MG utilizing composite load model (CLM) to include the load dynamics. This paper also investigates the critical universal droop control parameters and other internal controller parameters that influence MG stability. Eigenvalue analysis is used to identify the respective stability domain of different control parameters. The effectiveness of the proposed approach is tested by comparing the dynamics of CLM with constant power and impedance load. In addition, a memetic algorithm and SQP-GS is used to find the optimal values of different key parameters. The simulation results confirmed the effectiveness of the proposed SS dynamic model of hybrid MG and the efficacy of the optimization algorithm for tuning control parameters, which improved the dynamic performance of the hybrid MG.
References
1. Jain, D, Saxena, D. Operation of hybrid AC–DC microgrid with multiple ILCs. In: Proc. 2021 IEEE 2nd int. conf. smart technol. power, energy control. STPEC 2021; 2021.10.1109/STPEC52385.2021.9718726Search in Google Scholar
2. Wen, B, Boroyevich, D, Burgos, R, Mattavelli, P, Shen, Z. Small-signal stability analysis of three-phase AC systems in the presence of constant power loads based on measured d–q frame impedances. IEEE Trans Power Electron 2015;30:5952–63. https://doi.org/10.1109/TPEL.2014.2378731.Search in Google Scholar
3. Pogaku, N, Prodanović, M, Green, TC. Modeling, analysis and testing of autonomous operation of an inverter-based microgrid. IEEE Trans Power Electron 2007;22:613–25. https://doi.org/10.1109/TPEL.2006.890003.Search in Google Scholar
4. Roslan, MF, Al-Shetwi, AQ, Hannan, MA, Ker, PJ, Zuhdi, AWM. Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system. PLoS One 2020;15. https://doi.org/10.1371/journal.pone.0243581.Search in Google Scholar PubMed PubMed Central
5. Mahdavian, A, Ghadimi, AA, Bayat, M. Microgrid small-signal stability analysis considering dynamic load model. IET Renew Power Gener 2021;15:1–15. https://doi.org/10.1049/rpg2.12203.Search in Google Scholar
6. Liao, Y, Liu, Z, Zhang, H, Wen, B. Low-frequency stability analysis of single-phase system with dq-Frame impedance approach – Part I: impedance modeling and verification. IEEE Trans Ind Appl 2018;54:4999–5011. https://doi.org/10.1109/TIA.2018.2832027.Search in Google Scholar
7. Hassan, MA, Abido, MA. Optimal design of microgrids in autonomous and grid-connected modes using particle swarm optimization. IEEE Trans Power Electron 2011;26:755–69. https://doi.org/10.1109/TPEL.2010.2100101.Search in Google Scholar
8. Unnikrishnan, BK, Johnson, MS, Cheriyan, EP. Small signal stability improvement of a microgrid by the optimised dynamic droop control method. IET Renew Power Gener 2020;14:822–33. https://doi.org/10.1049/iet-rpg.2019.0428.Search in Google Scholar
9. Chung, IY, Liu, W, Cartes, DA, Collins, EG, Il Moon, S. Control methods of inverter-interfaced distributed generators in a microgrid system. IEEE Trans Ind Appl 2010;46:1078–88. https://doi.org/10.1109/TIA.2010.2044970.Search in Google Scholar
10. Kumar, VN, Parida, SK. Parameter optimization of universal droop and internal model controller for multi inverter-fed DGs based on accurate small-signal model. IEEE Access 2019;7:101928–40. https://doi.org/10.1109/ACCESS.2019.2931151.Search in Google Scholar
11. Dheer, DK, Vijay, AS, Kulkarni, OV, Doolla, S. Improvement of stability margin of droop-based islanded microgrids by cascading of lead compensators. IEEE Trans Ind Appl 2019;55:3241–51. https://doi.org/10.1109/TIA.2019.2897947.Search in Google Scholar
12. Amirkhan, S, Radmehr, M, Rezanejad, M, Khormali, S. A robust control technique for stable operation of a DC/AC hybrid microgrid under parameters and loads variations. Int J Electr Power Energy Syst 2020;117:105659. https://doi.org/10.1016/j.ijepes.2019.105659.Search in Google Scholar
13. Hu, Y, de Callafon, RA. Modeling microgrid power flow dynamics with covariance based realization. Int J Electr Power Energy Syst 2023;153. https://doi.org/10.1016/j.ijepes.2023.109279.Search in Google Scholar
14. Eberlein, S, Rudion, K. Small-signal stability modelling, sensitivity analysis and optimization of droop controlled inverters in LV microgrids. Int J Electr Power Energy Syst 2021;125:106404. https://doi.org/10.1016/j.ijepes.2020.106404.Search in Google Scholar
15. Xia, Y, Lv, Z, Wei, W, He, H. Large-signal stability analysis and control for small-scale AC microgrids with single storage. IEEE J Emerg Sel Top Power Electron 2021;6777:4809–20. https://doi.org/10.1109/JESTPE.2021.3135892.Search in Google Scholar
16. Li, Z, Shahidehpour, M. Small-signal modeling and stability analysis of hybrid AC/DC microgrids. IEEE Trans Smart Grid 2019;10:2080–95. https://doi.org/10.1109/TSG.2017.2788042.Search in Google Scholar
17. Chen, J, Chen, J. Stability analysis and parameters optimization of islanded microgrid with both ideal and dynamic constant power loads. IEEE Trans Ind Electron 2018;65:3263–74. https://doi.org/10.1109/TIE.2017.2756588.Search in Google Scholar
18. Kumar, R, Tyagi, S, Sharma, M. Memetic algorithm: hybridization of hill climbing with selection operator. Int J Soft Comput Eng 2014;3:140–5.Search in Google Scholar
19. Curtis, FE, Overton, ML. A sequential quadratic programming algorithm for nonconvex, nonsmooth constrained optimization. SIAM J Optim 2012;22:474–500. https://doi.org/10.1137/090780201.Search in Google Scholar
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Articles in the same Issue
- Frontmatter
- Research Articles
- A seven level fault tolerant hybrid cascaded inverter for renewable energy applications
- Optimal layout scheme design of distribution network micro PMU based on information entropy theory
- Current sensorless model predictive control for LC-filtered voltage source inverters based on sliding mode observer
- BCLM: a novel chaotic map for designing cryptography-based security mechanism for IEEE C37.118.2 PMU communication in smart grid
- Design and control of utility grid-tied bipolar DC microgrid
- Network dynamics in hybrid microgrid and its implications on stability analysis
- Electrical modelling, design, and implementation of a hardware PEM electrolyzer emulator for smart grid testing
- A hybrid search space reduction algorithm and Newton–Raphson based selective harmonic elimination for an asymmetric cascade H-bridge multi-level inverter
- Dynamic load prediction of charging piles for energy storage electric vehicles based on Space-time constraints in the internet of things environment
- Power coordination control method for AC/DC hybrid microgrid considering demand response
- Performance analysis and effective modeling of a solar photovoltaic module based on field tests
- Unleashing the economic potential of wind power for ancillary services
