Smart Control Strategy for Adaptive Management of Islanded Hybrid Microgrids

S Poonkuzhali; A Geetha

doi:10.4108/ew.5539

Authors

S Poonkuzhali SRM Institute of Science and Technology
A Geetha SRM Institute of Science and Technology

DOI:

https://doi.org/10.4108/ew.5539

Keywords:

PV, Battery Pack, ANN, microgrids, control strategy, Fuel cell

Abstract

This research paper presents a smart power control approach specifically designed for an independent microgrid. The proposed hybrid system consists of various crucial components, including a PV array, super capacitor, DC bus, battery bank, and AC bus working together to generate and store electricity within the microgrid. To address the challenges arising from random fluctuations in ecological parameters and changes in load demand, a supervisory controller is developed to enhance the standalone hybrid microgrid. This allows for optimized power management within the micro grid. The Liebenberg Marquardt algorithm is used to retrieve the trained ANN machine. The two and three hidden layered ANN machines have 96% accuracy on an average, whereas the single-layer ANN machine have poor predictive ability. The proposed model is implemented and analysed using MATLAB/Simulink. The observed results from the simulation experiments validate the effectiveness of integrating available resources in ensuring the resilience and reliability of microgrids.

Downloads

Download data is not yet available.

References

Xu C, Yang J, He L, Wei W, Yang Y. Carbon capture and storage as a strategic reserve against China's CO2 emissions. Environ. Dev. 2021; 37: 100608 – 100615. DOI: https://doi.org/10.1016/j.envdev.2020.100608

Gielen D, Boshell F, Saygin D, Bazilian MD, Wagner N, Gorini R. The role of renewable energy in the global energy transformation. Energy Strategy Rev. 2019; 24: 38-50. DOI: https://doi.org/10.1016/j.esr.2019.01.006

Baloch ZA, Tan Q, Kamran HW, Nawaz MA, Albashar G, Hameed JA. Multi-perspective assessment approach of renewable energy production: policy perspective analysis. Environ. Dev. Sustain. 2021; 1: 1-29. DOI: https://doi.org/10.1007/s10668-021-01524-8

Babangida A, Light Odazie CM, Szemes PT. Optimal Control Design and Online Controller-Area-Network Bus Data Analysis for a Light Commercial Hybrid Electric Vehicle. Mathematics. 2023; 11(15): 3436. DOI: https://doi.org/10.3390/math11153436

Jahn U, Nasse W. Operational performance of grid‐connected PV systems on buildings in Germany. Prog. Photovolt.: Res. Appl. 2004; 12(6): 441-448. DOI: https://doi.org/10.1002/pip.550

Vedulla G, Geetha A, Senthil R. Review of Strategies to Mitigate Dust Deposition on Solar Photovoltaic Systems. Energies. 2023; 16(1): 109-137. DOI: https://doi.org/10.3390/en16010109

Yacoubi L, Al-Haddad K, Dessaint LA, Fnaiech F. A DSP-based implementation of a nonlinear model reference adaptive control for a three-phase three-level NPC boost rectifier prototype. IEEE Trans. Power Electron. 2005; 20(5): 1084-1092. DOI: https://doi.org/10.1109/TPEL.2005.854034

Szromba A. Improving the Efficiency of the Shunt Active Power Filter Acting with the Use of the Hysteresis Current Control Technique. Energies. 2023; 16(10): 4080. DOI: https://doi.org/10.3390/en16104080

Blaabjerg F, Chen Z, Kjaer SB. Power electronics as efficient interface in dispersed power generation systems. IEEE Trans. Power Electron. 2004; 19(5): 1184-1194. DOI: https://doi.org/10.1109/TPEL.2004.833453

Colak I, Kabalci E, Fulli G, Lazarou S. A survey on the contributions of power electronics to smart grid systems. Renew. Sust. Energ. Rev. 2015; 47: 562-579. DOI: https://doi.org/10.1016/j.rser.2015.03.031

Panda S, Mohanty S, Rout PK, Sahu BK. A conceptual review on transformation of micro‐grid to virtual power plant Issues, modeling, solutions, and future prospects. Int. J. Energy Res. 2022; 46(6): 7021-7054. DOI: https://doi.org/10.1002/er.7671

Kumar K, Bae S. Two-layer energy management strategy for renewable power-to-gas system-based microgrids. J. Energy Storage. 2023; 61: 106723 -106733. DOI: https://doi.org/10.1016/j.est.2023.106723

Hasan MK, Habib AA, Islam S, Balfaqih M, Alfawaz KM, Singh D. Smart grid communication networks for electric vehicles empowering distributed energy generation. Constraints, challenges, and recommendations. Energies. 2023; 16(3): 1140-1153. DOI: https://doi.org/10.3390/en16031140

Alassi A, Bañales S, Ellabban O, Adam G, MacIver C. HVDC transmission. Technology review, market trends and future outlook. Renew. Sust. Energ. Rev. 2019; 112: 530-554. DOI: https://doi.org/10.1016/j.rser.2019.04.062

Wang P, Goel L, Liu X, Choo FH. Harmonizing AC and DC. A hybrid AC/DC future grid solution. IEEE Power Energy Mag. 2013; 11(3): 76-83. DOI: https://doi.org/10.1109/MPE.2013.2245587

De Azevedo RM, Canha LN, Garcia VJ, Rangel CAS, Santana TAS, Nadal ZI. Dynamic and proactive matheuristic for AC/DC hybrid smart home energy operation considering load, energy resources and price uncertainties. Int. J. Electr. Power Energy Syst. 2022; 137: 107463-107472. DOI: https://doi.org/10.1016/j.ijepes.2021.107463

Corchero C, Cruz-Zambrano M, Heredia FJ. Optimal energy management for a residential microgrid including a vehicle-to-grid system. IEEE Trans Smart Grid. 2014; 5(4): 2163-2172. DOI: https://doi.org/10.1109/TSG.2014.2318836

Arefifar SA, Ordonez M, Mohamed Y. Energy management in multi-microgrid system development and assessment. IEEE Trans. Power Syst. 2016; 32(2): 910-922. DOI: https://doi.org/10.1109/TPWRS.2016.2568858

Zhu X, Meng F, Xie Z, Yue Y. An inertia and damping control method of DC–DC converter in DC microgrids. IEEE Trans. Energy Convers. 2019; 35(2): 799-807. DOI: https://doi.org/10.1109/TEC.2019.2952717

Palizban O, Kauhaniemi K. Hierarchical control structure in microgrids with distributed generation: Island and grid-connected mode. Renew. Sust. Energ. Rev. 2015; 44: 797-813. DOI: https://doi.org/10.1016/j.rser.2015.01.008

Mehbodniya A, Kumar R, Bedi P, Mohanty SN, Tripathi R, Geetha A. VLSI implementation using fully connected neural networks for energy consumption over neurons. Sustain. Energy Technol. Assess. 2022; 52: 102058 – 102072. DOI: https://doi.org/10.1016/j.seta.2022.102058