A review on optimal control for the smart grid electrical substation enhancing transition stability

Wilson Pavon; Esteban Inga; Silvio Simani; Maddalena Nonato

doi:10.3390/en14248451

A review on optimal control for the smart grid electrical substation enhancing transition stability

Wilson Pavon
, Esteban Inga
, Silvio Simani
, Maddalena Nonato

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

This paper is a research article for finding the optimal control of smart power substations for improving the network parameters and reliability. The included papers are the most essential and main studies in the field, which propose a different approach to reach the best performance in electrical power systems. The parameters for improvement are the ability for tracking of the reference signal, stabilizing the system, reducing the error in steady state and controlling the behavior in transient state. The research focuses with the reaching a better transient stability considering voltage and frequency dynamic parameters. The optimal model for the control is focused on minimizing energy consumption but maintaining the controllable parameters, exploring some optimization techniques to find the optimal control, with of aim of minimizing the response time, the energy consumption, and maximizing the reliability by means of improving the controller to be more robust.

Original language	English
Article number	8451
Journal	Energies
Volume	14
Issue number	24
DOIs	https://doi.org/10.3390/en14248451
State	Published - 1 Dec 2021

Bibliographical note

Funding Information:
Funding: This research was funded by Universidad Politécnica Salesiana-Ecuador.

Funding Information:
This research was funded by Universidad Polit?cnica Salesiana-Ecuador.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Control
Distributed generation
Electrical
Hierarchical
Microgrid
Optimization
Smart grid
Substation

CACES Knowledge Areas

317A Electricity and Energy

Access to Document

10.3390/en14248451

Cite this

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title = "A review on optimal control for the smart grid electrical substation enhancing transition stability",

abstract = "This paper is a research article for finding the optimal control of smart power substations for improving the network parameters and reliability. The included papers are the most essential and main studies in the field, which propose a different approach to reach the best performance in electrical power systems. The parameters for improvement are the ability for tracking of the reference signal, stabilizing the system, reducing the error in steady state and controlling the behavior in transient state. The research focuses with the reaching a better transient stability considering voltage and frequency dynamic parameters. The optimal model for the control is focused on minimizing energy consumption but maintaining the controllable parameters, exploring some optimization techniques to find the optimal control, with of aim of minimizing the response time, the energy consumption, and maximizing the reliability by means of improving the controller to be more robust.",

keywords = "Control, Distributed generation, Electrical, Hierarchical, Microgrid, Optimization, Smart grid, Substation",

author = "Wilson Pavon and Esteban Inga and Silvio Simani and Maddalena Nonato",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = dec,

day = "1",

doi = "10.3390/en14248451",

language = "English",

volume = "14",

journal = "Energies",

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T1 - A review on optimal control for the smart grid electrical substation enhancing transition stability

AU - Pavon, Wilson

AU - Inga, Esteban

AU - Simani, Silvio

AU - Nonato, Maddalena

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N2 - This paper is a research article for finding the optimal control of smart power substations for improving the network parameters and reliability. The included papers are the most essential and main studies in the field, which propose a different approach to reach the best performance in electrical power systems. The parameters for improvement are the ability for tracking of the reference signal, stabilizing the system, reducing the error in steady state and controlling the behavior in transient state. The research focuses with the reaching a better transient stability considering voltage and frequency dynamic parameters. The optimal model for the control is focused on minimizing energy consumption but maintaining the controllable parameters, exploring some optimization techniques to find the optimal control, with of aim of minimizing the response time, the energy consumption, and maximizing the reliability by means of improving the controller to be more robust.

AB - This paper is a research article for finding the optimal control of smart power substations for improving the network parameters and reliability. The included papers are the most essential and main studies in the field, which propose a different approach to reach the best performance in electrical power systems. The parameters for improvement are the ability for tracking of the reference signal, stabilizing the system, reducing the error in steady state and controlling the behavior in transient state. The research focuses with the reaching a better transient stability considering voltage and frequency dynamic parameters. The optimal model for the control is focused on minimizing energy consumption but maintaining the controllable parameters, exploring some optimization techniques to find the optimal control, with of aim of minimizing the response time, the energy consumption, and maximizing the reliability by means of improving the controller to be more robust.

KW - Control

KW - Distributed generation

KW - Electrical

KW - Hierarchical

KW - Microgrid

KW - Optimization

KW - Smart grid

KW - Substation

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M3 - Article

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A review on optimal control for the smart grid electrical substation enhancing transition stability

Abstract

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Determination of the Optimal Model for Control and Operation of Electric Distribution Substations, Using Automation Techniques in Electric Power Systems (Phase 2)

Cite this

A review on optimal control for the smart grid electrical substation enhancing transition stability

Abstract

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Projects

Determination of the Optimal Model for Control and Operation of Electric Distribution Substations, Using Automation Techniques in Electric Power Systems (Phase 2)

Cite this