Design and Implementation of a Flexible Microgrid Controller through Mixed Integer Linear Programming Optimization

Makohin, Daniel Gomes; Gloria, Luna L.; Zeni, Vitor Seger; Pica, Cesare Q.; Neto, Edmar Pessoa Ara ´ ujo; Arend, Felipe G.; Asami, Deise Yumi; Heraldo, Eduardo

doi:10.1109/pedg.2018.8447883

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…The optimizer developed in phase one of the project, and presented in [18], was designed to operate as an MGCC that can operate as a generic controller for different MG configurations. The MGCC optimizer is based on MILP optimization technique [19] and considers the various possibilities of RERs available in Brazil; it was developed in order to enable the control of MGs with multiple DERs, such as dispatchable generators, photovoltaic and wind systems, ESS, and multiple control loads, in addition to allowing it to operate connected to the grid or in islanded mode.…”

Section: Optimizermentioning

confidence: 99%

Cost and Cybersecurity Challenges in the Commissioning of Microgrids in Critical Infrastructure: COGE Case Study

et al. 2022

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The application of microgrids in critical infrastructures has grown considerably due to the power supply reliability and resilience, and the island operation possibility of providing independence from the main grid. However, the necessity of intense information exchange between the devices that compose the microgrid to their proper operation, and the communication infrastructure required to realize that, makes the system vulnerable to cybersecurity threats. In this context, the case study presented in this paper raises two important subjects of discussion in the Brazilian electrical sector context, which are microgrids and cybersecurity in critical infrastructures of the electrical sector. Therefore, this paper presents the practical challenges related to these two subjects by reporting the development, implementation, and commissioning of a new microgrid controller, and the solutions found to accelerate the development by reducing costs, mitigating risks, and optimizing the commissioning time.

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Section: Optimizermentioning

confidence: 99%