Analysis of Energy Management System in Micro Grid Operations, Load Support, and Control Hierarchy

• Published in: 2023 Second International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON) pp. 13 - 16
• Main Authors: Devi, V Lakshmi, K, Kumar, Kiran, Shaik Rafi, Girish Kumar, N M
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23.08.2023
• Subjects: and Control Hierarchy; Control systems; Costs; Demand side management; Energy Management System; load support; Micro-Grid Control Strategies; Micro-grid operations; Pricing; Production; Renewable energy sources; Software packages
• DOI: 10.1109/TEECCON59234.2023.10335859

Demand for clean, high-quality, low-cost electricity has increased during the last decade. Traditional power generation and transmission systems are less popular due to high prices and poor environmental repercussions. Careful incorporation of RES can make them clean. Users' electricity use changes throughout the day. They must be able to fulfill demand, which means having enough power-producing capacity and infrastructure. This is a big cost. The money they earn will be based on actual consumer electricity use. In general, electricity is generated in stages, with a constant base load. To meet fluctuating demand, more stages of electricity generation are brought online throughout the day. This type of management is called supply-side management. Theoretically, reducing peak demand and the difference between peak and base load might reduce production capacity and grid infrastructure requirements, lowering costs for utilities and, eventually, customers. Demand-side management (DSM) is a management strategy. This study uses Simulink to mimic a small-scale smart grid. A fuzzy logic-based smart controller is being developed to govern the charging and discharging of an electric car battery, resulting in a more manageable and balanced load for the grid. The day's electricity consumption with and without the smart controller is compared. Modern pricing mechanisms result in lower peak demand, a smoother load curve for the grid, and lower per-kilowatt electricity costs.