Call for Paper - Upcoming Issues

Voltage Stability of a Photovoltaic DC Microgrid Using Artificial Neural Network

International Journal of Electrical and Electronics Engineering
© 2023 by SSRG - IJEEE Journal
Volume 10 Issue 10
Year of Publication : 2023
Authors : Kalangiri Manohar, Kottala Padma
10.14445/23488379/IJEEE-V10I10P114
pdf
How to Cite?

Kalangiri Manohar, Kottala Padma, "Voltage Stability of a Photovoltaic DC Microgrid Using Artificial Neural Network," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 10, pp. 137-150, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I10P114

Abstract:

This article puts forth a control strategy for a DC microgrid utilizing an Artificial Neural Network (ANN) as the controller. Using the Approximation Dynamic Programming (ADP) technique, the ANN controller is trained with the Levenberg-Marquardt approach; a FATT technique is employed for the resulting Jacobian matrix. To assess the effectiveness of the ANN, power DC converter switching models are utilized. The findings reveal that the suggested controller demonstrates a remarkable ability to maintain voltage stability in a freestanding DC microgrid, which improves over the prior controller. Moreover, the ANN controller exhibits outstanding performance in DC microgrids, as it rapidly responds to voltage references and endures load disruptions in diverse transient conditions. This study emphasizes the efficiency and reliability of the proposed control approach using ANN for regulating DC microgrids, making it a promising solution for future microgrid implementations.

Keywords:

PV array, Proportional Integral (PI) controller, Artificial Neural Network controller (ANN), DC-DC converters, ADP.

References:

[1] Parag Jose Chacko, and Meikandasivam Sachidanandam, “An Optimized Energy Management System for Vehicle to Vehicle Power Transfer Using Microgrid Charging Station Integrated Gridable Electric Vehicles,” Sustainable Energy, Grids and Networks, vol. 26, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Bingzhang Li, Shenghua Huang, and Xi Chen, “Performance Improvement for Two-Stage Single-Phase Grid-Connected Converters Using a Fast DC Bus Control Scheme and a Novel Synchronous Frame Current Controller,” Energies, vol. 10, no. 3, pp. 1-30, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Dezhi Xu et al., “A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System with Hybrid Energy Storage,” IEEE Transactions on Industrial Electronics, vol. 65, no. 8, pp. 6625-6634, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Anand K. Singh, Suraj A. Dahat, and Chetan W. Jadhao, “High Step-up DC/DC Converters Topologies,” International Journal of Recent Engineering Science, vol. 5, no. 2, pp. 1-3, 2018.
[CrossRef] [Publisher Link]
[5] Srinivas Punna, Rupesh Mailugundla, and Surender Reddy Salkuti, “Design, Analysis and Implementation of Bidirectional DC–DC Converters for HESS in DC Microgrid Applications,” Smart Cities, vol. 5, no. 2, pp. 433-454, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Nikhil Korada, and Mahesh K. Mishra, “Grid Adaptive Power Management Strategy for an Integrated Microgrid with HybridEnergy Storage,” IEEE Transactions on Industrial Electronics, vol. 64, no. 4, pp. 2884-2892, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Yang Gao, and Qian Ai, “Distributed Cooperative Optimal Control Architecture for AC Microgrid with Renewable Generation and Storage,” International Journal of Electrical Power & Energy Systems, vol. 96, pp. 324-334, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Xialin Li et al., “Observer-Based DC Voltage Droop and Current Feedforward Control of a DC Microgrid,” IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 5207-5216, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Yuyang Li et al., “A Virtual Inertia-Based Power Feedforward Control Strategy for an Energy Router in a Direct Current Microgrid Application,” Energies, vol. 12, no. 3, pp. 1-14, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Wensheng Song, Nie Hou, and Mingyi Wu, “Virtual Direct Power Control Scheme of Dual Active Bridge DC–DC Converters for Fast Dynamic Response,” IEEE Transactions on Power Electronics, vol. 33, no. 2, pp. 1750-1759, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Oladimeji Ibrahim et al., “Development of Observer State Output Feedback for Phase-Shifted Full Bridge DC–DC Converter Control,” IEEE Access, vol. 5, pp. 18143-18154, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Guanghui Sun, and Zhiqiang Ma, “Practical Tracking Control of Linear Motor with Adaptive Fractional Order Terminal Sliding Mode Control,” IEEE/ASME Transactions on Mechatronics, vol. 22, no. 6, pp. 2643-2653, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Saurabh S. Shingare, Prabodh Khampariya, and Shashikant Bakre, “Application of ANN-Based Approach for Fault Location in Extra High Voltage Networks,” International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 440-449, 2023.
[CrossRef] [Publisher Link]
[14] Yunfei Yin et al., “Observer-Based Adaptive Sliding Mode Control of NPC Converters: An RBF Neural Network Approach,” IEEE Transactions on Power Electronics, vol. 34, no. 4, pp. 3831-3841, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Yabin Gao et al., “Distributed Soft Fault Detection for Interval Type-2 Fuzzy-Model-Based Stochastic Systems with Wireless Sensor Networks,” IEEE Transactions on Industrial Informatics, vol. 15, no. 1, pp. 334-347, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Zhenyu Zhu et al., “Improved T-S Fuzzy Control for Uncertain Time-Delay Coronary Artery System,” Complexity, vol. 2019, pp. 1-11, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Abhishek Kumar Gupta, and Ravi Saxena, “Review on Widely-Used MPPT Techniques for PV Applications,” 2016 International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH), Noida, India, pp. 270-273, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Ayesha Firdaus, and Sukumar Mishra, “Auxiliary Signal-Assisted Droop-Based Secondary Frequency Control of Inverter-Based PV Microgrids for Improvement in Power Sharing and System Stability,” IET Renewable Power Generation, vol. 13, no. 13, pp. 2328- 2337, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Vahid Mortezapour, and Hamid Lesani, “Adaptive Primary Droop Control for Islanded Operation of Hybrid AC-DC MGs,” IET Generation, Transmission & Distribution, vol. 12, no. 10, pp. 2388-2396, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Ranjan Pramanik, and B.B. Pati, “Modelling and Control of a Non-Isolated Half-Bridge Bidirectional DC-DC Converter with an Energy Management Topology Applicable with EV/HEV,” Journal of King Saud University - Engineering Sciences, vol. 35, no. 2, pp. 116-122, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Weizhen Dong et al., “Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 4, pp. 1760-1768, 2021.
[CrossRef] [Google Scholar] [Publisher Link]