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  • 标题:A Neuro-Fuzzy Controlled SolarPhotovoltaic and PHEV basedFrequency Regulation in a Microgridwithout Storage System
  • 本地全文:下载
  • 作者:K. S. V. Phani Kumar ; S. Venkateshwarlu
  • 期刊名称:Journal of Green Engineering
  • 印刷版ISSN:1904-4720
  • 电子版ISSN:2245-4586
  • 出版年度:2017
  • 卷号:7
  • 期号:1-2
  • 页码:311-332
  • DOI:10.13052/jge1904-4720.71213
  • 语种:English
  • 出版社:River Publishers
  • 摘要:This paper proposes a distributed resource management scheme to avoid the need for energy storage and achieve the required frequency regulation. The energy sources considered in the microgrid are Solar PhotoVoltaics (SPV), Diesel Generators (DG), Fuel Cells (FC) and Plug-in Hybrid Electric Vehicles (PHEV). The frequency regulation is done by considering the SPV operation at a Limited-Power-Point (LPP) for spinning reserve using neuro-fuzzy control in coordination with PHEVs and other sources. In vehicle-to-grid (V2G) mode, State of Charge (SOC) of the battery in a PHEV shall be the deciding factor in allowing it to participate in the regulation. A simple additive-adaptive strategy based algorithm is proposed and tested in the isolated microgrid environment. Satisfactory results of frequency regulation were obtained upon consideration of scenarios, varying the load and insolation in steps.
  • 关键词:Neuro-Fuzzy control; Frequency regulation; Energy management; Limited-power-point-tracking; SolarPV; Fuel cells;V2G; Power quality
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