SoC regulator and DOB-based load frequency control of a microgrid by coordination of diesel generator and battery storage

Takuto Hiranaka, Hyungbo Shim, Toru Namerikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, the load-frequency control problem of microgrid is discussed. The control is applied to maintain a balance between electric-power demand and supply by controlling the outputs of generators in power systems. However, because of the large-scale introduction of energy from renewable-energy sources, it has become more difficult to maintain this balance. To solve this problem, we consider introducing batteries to microgrid. Therefore, we focus on a microgrid that comprises wind-turbine generators, loads, diesel generators, and batteries. First, we design a generalized plant including the diesel generators and batteries. Then, we apply disturbance observer to decide a reference input to diesel generators and batteries. And, we split the reference input into that for diesel generators and that for batteries considering the differences in the response speeds by applying low-pass filter. Furthermore, we apply SoC regulator for the state of charge of batteries reaching maximum capacity or minimum capacity. Finally, we perform numerical simulations to verify that the control method can suppress the frequency deviations and deviations in the residual capacity of the battery.

Original languageEnglish
Title of host publication2016 IEEE Conference on Control Applications, CCA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-69
Number of pages6
ISBN (Electronic)9781509007554
DOIs
Publication statusPublished - 2016 Oct 10
Event2016 IEEE Conference on Control Applications, CCA 2016 - Buenos Aires, Argentina
Duration: 2016 Sept 192016 Sept 22

Other

Other2016 IEEE Conference on Control Applications, CCA 2016
Country/TerritoryArgentina
CityBuenos Aires
Period16/9/1916/9/22

ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation

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