• Arunkumar S




Wind, Solar, Distributed Energy Resources, DC microgrid, Energy Storage System, Energy Management System, ANFIS.


Since the fossil fuel exhausting and causes environmental problems, renewable energy is developing rapidly. More and more importance has been given in power generation through Renewable Energy Resources (RERs) worldwide to reduce the global warming. Many research works on DC microgrid have been conducted to facilitate the integration of various Distributed Energy Resources (DERs) and Energy Storage System (ESS). In recent years, the research attention on DC grids has been resurging due to technological advancements in power electronics and energy storage devices, and increase in the variety of dc loads and the penetration of DERs such as wind, solar, fuel cells and bio-gas etc., Many research activities are being done to harness more generation from DERs and flexible control of the above generation. An Adaptive Neuro-Fuzzy Inference System (ANFIS) based Energy Management System (EMS) is proposed to control inverters in Grid connected hybrid DC microgrid system. The hybrid system consists of Wind Turbines (WTs) and Solar Photovoltaic (PV) as a primary energy sources. The Grid connected DC microgrid system is designed to satisfy the load requirement efficiently and in case if the demand is low it will return the excess power to the AC Grid also. The operational capability of proposed Hybrid DC microgrid design concept is verified through various test conditions and the results obtained are discussed.


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Author Biography

Arunkumar S

PG student, Dr. M. G. R. Educational & Research Institute, Maduravoyal, Chennai.


[1] K. T. Tan, Member, IEEE, B. Sivaneasan, Member, IEEE, X. Y. Peng, Student Member, IEEE, and P. L. So, Senior Member, IEEE, "Control and Operation of a DC Grid-Based Wind Power Generation System in a Microgrid".

[2] Nishad Mendis, Student Member, IEEE, Kashem M. Muttaqi, Senior Member, IEEE, Saad Sayeef, Member, IEEE, and Sarath Perera, Member, IEEE,? Standalone Operation of Wind Turbine-Based Variable Speed Generators With Maximum Power Extraction Capability, IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 822–834, Dec. 2012.

[3] Tomislav Dragi cevi´c, Student Member, IEEE, Josep M. Guerrero, Senior Member, IEEE, Juan C. Vasquez, Member, IEEE, and Davor Skrlec, Member, IEEE, ?Supervisory Control of an Adaptive-Droop Regulated DC Microgrid with Battery Management Capability?.

[4] Lie Xu,Senior Member, IEEE, and Dong Chen,?Control and Operation of a DC Microgrid With Variable Generation and Energy Storage?.

[5] Dong Chen, Lie Xu, Senior Member, IEEE, and Liangzhong Yao, Senior Member, IEEE, ?DC Voltage Variation Based Autonomous Control of DC Microgrids?.

[6] Gedeon Niyitegeka, Jaeho Choi, and Yeonho Ok, ? Improved Droop Control for Effective Load Sharing and Voltage Regulation in DC Microgrids?.Chendan Li1, Federico de Bosio2, Sanjay K. Chaudhary1, M. Graells3, Juan C. Vasquez1, and Josep M. Guerrero1 .

[7] Microgrid Research Programme www.microgrids.et.aau.dk 1Department of Energy Technology, Aalborg University Aalborg, Denmark, ?Operation Cost Minimization of Droop-Controlled DC Microgrids Based on Real-Time Pricing and Optimal Power Flow?.

[8] Xiong Liu, Student Member, IEEE, Peng Wang, Member, IEEE, and Poh Chiang Loh, Member, IEEE, ?A Hybrid AC/DC Microgrid and Its Coordination Control?.

[9] Poh Chiang Loh, Ding Li and Yi Kang Chai School of Electrical and Electronic Engineering Nanyang Technological University Singapore, ?Autonomous Operation of Hybrid AC-DC Microgrids with Progressive Energy Flow Tuning?.

[10] Intelligent Distributed Generation and Storage Units for DC Microgrids—A New Concept on Cooperative Control Without Communications Beyond Droop Control.

[11] Dan Shen, Afshin Izadian, Senior Member, IEEE Energy Systems and Power Electronics Laboratory Purdue School of Engineering and Technology, Indianapolis 46202, USA, ?Sliding Mode Control of A DC Distributed Solar Microgrid?.