The smart grid complements the deficit in traditional electrical energy such as the pollution issues that come with certain energy resources such as fossil fuels and nuclear energy. Many literature discusses various technologies but very few talk about the implementation of the smart grid and its considerations to be implemented, the assessment of the power system with the communication network put into play, how to optimize technological schemes with economic and political constraints put into consideration and many other considerations. Governments across the globe and related organizations such as utility companies are eager to assess the cost and advantages of new technological mechanisms scientifically as opposed to decision making with no scientific base. Decision Support System is a system of information that is interfaced with computers to support the making of decisions in operations, management, and planning for assessing the technologies. This is an important tool because it helps the decision-makers with scientific evidence needed. The main objective of this project is to point out the technologies that help in the processing of data and information and also the mechanisms that will enhance the decision support systems that are used for the assessment of the indices of the smart grid technology for future investments. To begin with, this project introduces the smart grid together with its features and technologies for clarification of the benefits of using the smart grid such as safety, efficiency, reliability, economics, environment, and security. Understanding how power system business and how it operates is key because it affects the communication network model. This project gives a detailed report of what the smart grid needs for simulation following the operation and power system business. Furthermore, the smart grid involves some monitoring system and communication system that helps to better understand management on the demand side so that its impact on the power system can be reviewed. Load shedding strategies are helping the power system from crumbling and keep the grid in a complete form to an extent. Soon, many countries and organizations have set goals to reduce the contribution of the emission of greenhouse gas. For example, the United Kingdom is planning to produce about 27% of its energy from renewable energy resources by 2030.
Keywords: Smart Grid, Technologies, Decision and Support Systems.
HOW TO CITE
Masisani William Mufana and Adabara Ibrahim(2022).Evaluation of Smart Grid Technologies Based on Decision Support Systems. IDOSR JOURNAL OF SCIENCE AND TECHNOLOGY 7(1):47-52,