A Hybrid AC/DC Microgrid with Multi-Bus DC Sub-Grid Optimal Operation

Authors

Keywords:

Economic operation, DG (Distributed Generation), Incremental Cost (IC)based droop, Multi-Bus System (MBS).

Abstract

In this research work economic operation of power system and its incremental cost management has been maintained through identical distributed generation. At first, configuration of Hybrid (Alternating current/direct current) AC/DC Micro grid (MG)DC sub-grid (SG) is designed and then a droop control method based on incremental cost is implemented for synchronization of sub-grid’s DC bus voltage & AC bus frequency to equalize incremental cost. However, droop method causes deviations in dc bus voltages and AC bus fervency. Secondly, distributed fuzzy logic control architecture with incremental cost-based droops is proposed and implemented which allows uncertainly distributed generations communicate with their neighbor ones thus reducing communication weights and enhances the uncertain system performance. Due to existence of fuzzy logic controller in proposed architecture the transient behavior of the system voltage and frequency is reduced and reaches to steady state in minimal time. Moreover, the incremental cost of all distributed generations is equalized.  To show the efficiency of planned control strategy using a platform called MATLAB/Simulink to verify results.

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References

Blaabjerg, F., Teodorescu, R., Liserre, M., & Timbus, A. V. (2006). Overview of control and grid synchronization for distributed power generation systems. IEEE Transactions on industrial electronics, 53(5), 1398-1409.

Liu, X., Wang, P., & Loh, P. C. (2011). A hybrid AC/DC microgrid and its coordination control. IEEE Transactions on smart grid, 2(2), 278-286.

De, D., & Ramanarayanan, V. (2010). Decentralized parallel operation of inverters sharing unbalanced and nonlinear loads. IEEE Transactions on Power Electronics, 25(12), 3015-3025.

Loh, P. C., Li, D., Chai, Y. K., & Blaabjerg, F. (2012). Autonomous operation of hybrid microgrid with AC and DC subgrids. IEEE transactions on power electronics, 28(5), 2214-2223.

Pabbuleti, B., & Somlal, J. (2020). A review on hybrid ac/dc microgrids: Optimal sizing, stability control and energy management approaches. Journal of Critical Reviews, 7, 376-381.

Caldognetto, T., & Tenti, P. (2014). Microgrids operation based on master–slave cooperative control. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2(4), 1081-1088.

Guo, L., Wang, C., Guo, L., & Cao, J. (2008, December). Dynamical characteristic of MicroGrid with peer to peer control. In 2008 China International Conference on Electricity Distribution (pp. 1-7). IEEE.

Contaxis, G. C., Delkis, C., & Korres, G. (1986). Decoupled optimal load flow using linear or quadratic programming. IEEE Transactions on Power systems, 1(2), 1-7.

El-Keib, A. A., Ma, H., & Hart, J. L. (1994). Environmentally constrained economic dispatch using the Lagrangian relaxation method. IEEE transactions on Power Systems, 9(4), 1723-1729.

Chen, J. F., & Chen, S. D. (1997). Multiobjective power dispatch with line flow constraints using the fast Newton-Raphson method. IEEE Transactions on Energy conversion, 12(1), 86-93.

Fan, J. Y., & Zhang, L. (1998). Real-time economic dispatch with line flow and emission constraints using quadratic programming. IEEE Transactions on Power Systems, 13(2), 320-325.

Chiang, C. L. (2005). Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. IEEE transactions on power systems, 20(4), 1690-1699.

Chaturvedi, K. T., Pandit, M., & Srivastava, L. (2008). Self-organizing hierarchical particle swarm optimization for nonconvex economic dispatch. IEEE transactions on power systems, 23(3), 1079-1087.

Nutkani, I. U., Loh, P. C., Wang, P., & Blaabjerg, F. (2014). Cost-prioritized droop schemes for autonomous AC microgrids. IEEE Transactions on Power Electronics, 30(2), 1109-1119.

Xin, H., Zhao, R., Zhang, L., Wang, Z., Wong, K. P., & Wei, W. (2015). A decentralized hierarchical control structure and self-optimizing control strategy for FP type DGs in islanded microgrids. IEEE Transactions on Smart Grid, 7(1), 3-5.

Chen, F., Chen, M., Li, Q., Meng, K., Zheng, Y., Guerrero, J. M., & Abbott, D. (2016). Cost-based droop schemes for economic dispatch in islanded microgrids. IEEE Transactions on Smart Grid, 8(1), 63-74.

Xu, Q., Xiao, J., Wang, P., & Wen, C. (2017). A decentralized control strategy for economic operation of autonomous AC, DC, and hybrid AC/DC microgrids. IEEE Transactions on Energy Conversion, 32(4), 1345-1355.

Yang, P., Yu, M., Wu, Q., Wang, P., Xia, Y., & Wei, W. (2019). Decentralized economic operation control for hybrid AC/DC microgrid. IEEE Transactions on Sustainable Energy, 11(3), 1898-1910.

Xiao, J., Wang, P., & Setyawan, L. (2015). Hierarchical control of hybrid energy storage system in DC microgrids. IEEE Transactions on Industrial Electronics, 62(8), 4915-4924.

Jin, C., Wang, P., Xiao, J., Tang, Y., & Choo, F. H. (2013). Implementation of hierarchical control in DC microgrids. IEEE transactions on industrial electronics, 61(8), 4032-4042.

Guerrero, J. M., Chandorkar, M., Lee, T. L., & Loh, P. C. (2012). Advanced control architectures for intelligent microgrids—Part I: Decentralized and hierarchical control. IEEE Transactions on Industrial Electronics, 60(4), 1254-1262.

Lin, P., Jin, C., Xiao, J., Li, X., Shi, D., Tang, Y., & Wang, P. (2018). A distributed control architecture for global system economic operation in autonomous hybrid AC/DC microgrids. IEEE Transactions on Smart Grid, 10(3), 2603-2617.

Kumar, D. S., Kumar, C. S., Ragamayi, S., Kumar, P. S., Saikumar, K., & Ahammad, S. H. (2020). A test architecture design for SoCs using atam method. International Journal of Electrical and Computer Engineering, 10(1), 719.

Kumar, P. S., & Saikumar, K. (2020). An Operative Overcrowding and Energy Efficient Regulating Scheme for MANET with Comparative Traffic Link Vector Routing. Journal of Green Engineering, 10, 5548-5562.

Saikumar, K., Rajesh, V., & Babu, B. S. (2022). Heart Disease Detection Based on Feature Fusion Technique with Augmented Classification Using Deep Learning Technology. Traitement du Signal, 39(1).

Proposed system (Hybrid AC/DC MG’s with multi-Dc buses)

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Published

19.12.2022

How to Cite

Bhavana Pabbuleti, & Jarupula Somlal. (2022). A Hybrid AC/DC Microgrid with Multi-Bus DC Sub-Grid Optimal Operation. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 01–07. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2353

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Research Article