Article
A Review on Optimal Control for the Smart Grid Electrical
Substation Enhancing Transition Stability
Wilson Pavon
1,
* , Esteban Inga
1
, Silvio Simani
2
and Maddalena Nonato
2
Citation: Pavon, W.; Inga, E.; Simani,
S.; Nonato, M. A Review on Optimal
Control for the Smart Grid Electrical
Substation enhancing Transition
Stability. Energies 2021, 14, 8451.
https://doi.org/10.3390/en14248451
Academic Editor: Dimitrios
Katsaprakakis
Received: 22 September 2021
Accepted: 20 November 2021
Published: 14 December 2021
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1
Department of Electrical Engineering, Universidad Politécnica Salesiana,
Quito EC170146, Ecuador; einga@ups.edu.ec
2
Engineering Department, Università degli Studi di Ferrara, 050031 Ferrara, Italy;
smnslv@unife.it (S.S.); maddalena.nonato@unife.it (M.N.)
* Correspondence: wpavon@ups.edu.ec
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: smart grid; control; substation; electrical; optimization; hierarchical; distributed generation;
microgrid
1. Introduction
The present paper aims to give an overview of different existing methodologies for
optimal control in a smart power substation (SPSS). The main objective is to show several
approaches for optimal control of a SPSS for improving the network transient stability,
considering electrical variables as the frequency and voltage. The review explores the
general models for integrating all the elements in a SPSS, taking into account that the
control must be optimal, enhancing transition stability of the tackled variables.
The research has a worldwide impact because smart grid (SG) is one of the most
promising technologies to fight against climate change; additionally, there are projects in
the region, which aim to unify the generation, transmission, and distribution of energy to
improve the stability of the entire system in the region. Finally, there is a massive gap in
the regional energy network development, and the researchers’ achievements to boost the
technological advances in this field.
The document is organized as follows, Section 2 shows the applied methodology
to understand a substation, Section 3 shows the State of the Art, Section 4 shows the
definitions for SPSS and presents the control level in SPSS, and the strategies for optimal
operation. Finally, the conclusions and future work are presented in Section 5.
2. Methodology
The methodology is based on the scientific information extracted from the state of
the art (SoTA), where the most cited and relevant research were selected considering the
documents which tackled the problem with a mathematical modeling and engineering
simulation approach.
Energies 2021, 14, 8451. https://doi.org/10.3390/en14248451 https://www.mdpi.com/journal/energies