Development of a supervisory system for a smart power plant

• Autor(a) principal: Fernanda Moura Quintão Silva
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: http://hdl.handle.net/1843/38699
• topic: Supervisory system; Renewable sources; Internet of things; Engenharia elétrica; Internet das coisas; Energia renovável

Throughout the years, there has been a steady technological advance in the industrial automation field, that has propelled a constant evolution of the supervisory and control systems employed to monitor and manage plants, including power plants. Nowadays, with the coming of the fourth industrial revolution which has brought the concept of the Internet of Things, it’s possible to apply this concept to create an information sharing environment that simplifies and increases the effectiveness of supervisory and control systems. This work applies this research field by implementing a new supervisory system using the ideas of the concept of Internet of Things in a real solar power plant. The supervisory system developed in this work is capable of providing to a user a friendly environment to monitor any desired measurement and/or status of the devices that compose this power plant. This dissertation presents the development of this supervisory system that uses devices integrated with the Internet of Things that can be implemented in any type of power plant. This work goes in detail about the tools and services that are available when using these novel concepts and how it can be beneficial for the plant having a supervisory system developed employing this technology and strategy. The benefits are even more highlighted when a comparison between traditional supervisory systems and the system developed here is presented.