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A Comprehensive Review on Smart Grids: Challenges and Opportunities
Jesús Jaime Moreno Escobar1, Oswaldo Morales Matamoros1, Ricardo Tejeida Padilla2
1Escuela Superior de Ingeniería Mecánica y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Ciudad de México 07340, Mexico.
Sensors (Basel, Switzerland)
|November 13, 2021
Summary
Decentralized distribution systems increase risks, necessitating reliable models. This survey explores Smart Grids technologies, protocols, and case studies, focusing on network topologies and sensor applications in interconnected smart environments.
Area of Science:
- Electrical Engineering and Computer Science
- Focus on power systems and intelligent control.
Background:
- Modern distribution systems are shifting from centralized control to decentralized decision-making by companies aiming for interconnectivity efficiency.
- This decentralization introduces greater operational risks, highlighting the critical need for enhanced decision-making models.
- The evolution towards smart grids necessitates a comprehensive understanding of emerging technologies and their integration.
Purpose of the Study:
- To provide a comprehensive survey of key aspects, technologies, protocols, and case studies in the field of Smart Grids.
- To propose a taxonomy of Smart Grid technologies and their applications within various advanced scenarios.
- To analyze recent research trends and classify survey articles based on Smart Grid network topologies and sensor applications.
Main Methods:
- Systematic literature review of 94 research articles published within the last four years.
- Classification of technologies and applications based on Smart Grid Network Topologies.
- Analysis of sensor applications and their role in generalizing smart network interconnections.
Main Results:
- Identified and categorized a wide array of Smart Grid technologies and their applications.
- Highlighted the significance of network topologies, particularly sensor integration, in smart grid architectures.
- Summarized current and future trends, including scenarios involving Smart Networks, Neural Networks, Blockchain, Industrial Internet of Things, and Software-Defined Networks.
Conclusions:
- The decentralization of distribution systems mandates the development and adoption of robust, reliable models for risk management.
- Smart Grids represent a paradigm shift, integrating diverse technologies to enhance efficiency and interconnectivity.
- Further research into network topologies and sensor applications is crucial for optimizing smart grid performance and security.
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