Integrated Operation of Distributed Resources to Enhance Frequency Regulation in an Isolated Microgrid Environment
K.S.V Phani Kumar1, S. Venkateshwarlu2
1K.S.V Phani Kumar, Assistant Professor in CVR College of Engineering, Hyderabad, Telangana, India
2Dr.S.Venkateshwarlu, Professor & Head of EEE at CVR College of Engineering, Hyderabad, Telangana, India.
Manuscript received on 04 August 2019. | Revised Manuscript received on 09 August 2019. | Manuscript published on 30 September 2019. | PP: 7479-7487 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4649098319/19©BEIESP | DOI: 10.35940/ijrte.C4649.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There is a growing concern to be self-sufficient and reduce the dependency on external power generating sources to satisfy the energy demands. Issues such as integrated operation of these power sources without having a dedicated storage system with enhanced frequency regulation is to be addressed. In this paper, the distributed generating sources like solar photovoltaic, diesel generator, fuel cells and electric vehicles are considered. Electric vehicle participation in the frequency regulation comes with constraints on state of charge of the battery and availability of the vehicle. An adaptive-additive algorithm is proposed for performing energy resource management and to maintain the frequency within the allowable band during transient and steady state system conditions. Load variation and EV-fleet availability variations are considered in the paper for understanding the system’s response to frequency changes by performing small-signal-analysis. The results show coordinated and satisfactory response of the system to maintain frequency regulation. Economic viability is also focused in the paper.
Keywords: Distributed Generation Control, Microgrid Energy Management, Electric Vehicle, Battery Management, Limited Power Point Tracking, Neural Network, Fuzzy Logic
Scope of the Article: Fuzzy Logics