An Intelligent Fuzzy Control Approach for a Back-Pressure Autonomous Industrial Microgrid

Rahmat Khezri, Amin Mahmoudi, Sajjad Golshannavaz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Frequency and voltage are two important parameters for proper operation of industrial power plants. To maintain these indices in the standard levels in various operating conditions, efficient control strategies should be organized. Otherwise, severe fluctuations in the frequency or voltage may jeopardize the system stability which ends in operation collapse. Such occasions are more potent in back-pressure industrial microgrids within which the cogeneration of electricity and steam happens. An increase in generator back-pressure or a decrease in input steam due to drops in gas pressure results in steam fluctuations on the generator's shaft. This initiates frequency oscillations wherein if no any control action is exerted, the frequency instability is likely to happen. This paper investigates the performance of a double-layer fuzzy based load shedding methodology over the frequency and voltage fluctuations of a real autonomous industrial microgrid. Contemplating as a practical solution, the intelligent load shedding mechanism receives the steam pressure and frequency deviations as the input signals. It is found that the proposed two-layer mechanism reduces the amount of load shedding, though the voltage of the plant is deteriorated. Finally, a three-layer fuzzy logic controller is preliminary proposed for load shedding and terminal voltage correction. The third layer of the fuzzy controller operates as a supervisory control level to update the gain of automatic voltage regulator. This fuzzy layer receives the output of the second layer and voltage deviations of the industrial plant.

Original languageEnglish
Title of host publicationECCE 2020 - IEEE Energy Conversion Congress and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2439-2444
Number of pages6
ISBN (Electronic)9781728158266, 9781728158273
DOIs
Publication statusPublished - 11 Oct 2020
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: 11 Oct 202015 Oct 2020
Conference number: 12

Publication series

NameECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
CountryUnited States
CityVirtual, Detroit
Period11/10/2015/10/20

Keywords

  • back-pressure industrial plant
  • frequency control
  • fuzzy controller
  • isolated microgrid
  • load shedding
  • voltage control.

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