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1. Addressing the drawbacks of the TPS has been investigated to understand the importance and necessity of developing a smart power system. 2. The classification of MGs and their
Thus, the performance of microgrid, which depends on the function of these resources, is also changed. 96, 97 Microgrid can improve the stability, reliability, quality, and security of the
Microgrids können unabhängig vom Stromnetz agieren und erhöhen die Versorgungssicherheit bei Netzstörungen. Im Gegensatz zu Smart Grids, die smarte Technologien integrieren, sind
There are many strategies for energy management systems for smart microgrids such as load management, generation management, and energy storage management 4. The control system of a microgrid must continuously analyze and prioritize loads to maintain a balance between power generation and consumption.
Smart microgrids (SMGs) are small, localized power grids that can work alone or alongside the main grid. A blend of renewable energy sources, energy storage, and smart control systems optimizes resource utilization and responds to demand and supply changes in real-time 1.
Energy theft, including smart microgrids, costs the global energy industry billions of dollars. The dispersed architecture and distributed energy supplies of smart microgrids make them more vulnerable to electricity theft than conventional power grids 5. Smart microgrids can analyze sensor and meter data to identify trends of energy theft.
In this paper, we present an open architecture that uses machine learning algorithms at the edge to predict energy consumption and production for energy management in smart microgrids. Such predictions are aggregated across different prosumers at a centralized marketplace in the Cloud using Kafka Streams and OpenSource IoT platforms.
To further fortify the smart microgrid's safety, a theft detection device that tracks the gap between electricity withdrawal and consumption has been implemented. The proposed system also included the management of inverter and smart meter-connected loads, allowing for flexible responses to power outages.
However, energy management within and across microgrids is complicated due to many uncertainties such as imprecise knowledge on energy production and demand, which makes energy optimization challenging.
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