Difference between revisions of "A Novel Control Strategy for Power Sharing Enhancement of an Inverter-Based Microgrid"

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<span style="line-height: 1.5em;">An innovative power sharing strategy is put forward for active power-frequency management of a couple of inverter </span><span style="line-height: 1.5em;">interfaced distributed generators encompassed in a microgrid. The presented strategy employs two cutting- edge droop </span><span style="line-height: 1.5em;">based methods called unit power control (UPC) and feeder flow control (FFC). FFC outperforms UPC in terms of both </span><span style="line-height: 1.5em;">grid-connected and islanded operation of microgrid. These methods are modified to enrich the transient response of </span><span style="line-height: 1.5em;">distributed generators concurrent with the steady state behavior. A combination of these methods is applied to control </span><span style="line-height: 1.5em;">generators of a microgrid where results of numerical time domain simulations substantiate the superiority of the </span><span style="line-height: 1.5em;">enhanced edition control strategy<ref>A Novel Control Strategy for Power Sharing Enhancement of an Inverter-Based
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<span style="line-height: 1.5em;">An innovative power sharing strategy is put forward for active power-frequency management of a couple of inverter </span><span style="line-height: 1.5em;">interfaced distributed generators encompassed in a microgrid. The presented strategy employs two cutting- edge droop </span><span style="line-height: 1.5em;">based methods called unit power control (UPC) and feeder flow control (FFC). FFC outperforms UPC in terms of both </span><span style="line-height: 1.5em;">grid-connected and islanded operation of microgrid. These methods are modified to enrich the transient response of </span><span style="line-height: 1.5em;">distributed generators concurrent with the steady state behavior. A combination of these methods is applied to control </span><span style="line-height: 1.5em;">generators of a microgrid where results of numerical time domain simulations substantiate the superiority of the </span><span style="line-height: 1.5em;">enhanced edition control strategy<ref>A Novel Control Strategy for Power Sharing Enhancement of an Inverter-BasedfckLRMicrogrid Alireza Raghami and Mohammad Taghi Ameli. Faculty of Electrical and Computer Engineering, Shahid Beheshti University, A.C. Tehran, Iran,fckLR</ref>.</span>
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Microgrid Alireza Raghami and Mohammad Taghi Ameli. Faculty of Electrical and Computer Engineering, Shahid Beheshti University, A.C. Tehran, Iran,
 
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Revision as of 09:41, 2 May 2014

Innovating Energy Access for Remote Areas: Discovering Untapped Resources
About the International DAAD-Alumni Summer School, Sustainable Provision of Rural RE
Programme
Participants Presentations
Speaker Presentations


A Novel Control Strategy for Power Sharing Enhancement of an Inverter-Based Microgrid

Presenter: Alireza Raghami (Faculty of Electrical and Computer Engineering, Shahid Beheshti University, A.C. Tehran, Iran)

Overview

An innovative power sharing strategy is put forward for active power-frequency management of a couple of inverter interfaced distributed generators encompassed in a microgrid. The presented strategy employs two cutting- edge droop based methods called unit power control (UPC) and feeder flow control (FFC). FFC outperforms UPC in terms of both grid-connected and islanded operation of microgrid. These methods are modified to enrich the transient response of distributed generators concurrent with the steady state behavior. A combination of these methods is applied to control generators of a microgrid where results of numerical time domain simulations substantiate the superiority of the enhanced edition control strategy[1].

File:Optimizing Device Operation with a Local Electricity Price.pdf


File:Control Strategy for Power Sharing Enhancement of an Inverter Based Microgrid.pdf


References

  1. ↑ A Novel Control Strategy for Power Sharing Enhancement of an Inverter-BasedfckLRMicrogrid Alireza Raghami and Mohammad Taghi Ameli. Faculty of Electrical and Computer Engineering, Shahid Beheshti University, A.C. Tehran, Iran,fckLR


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