Microgrid Intelligent Algorithm

Can artificial intelligence improve microgrid control?

Classical control techniques are not enough to support dynamic microgrid environments. Implementation of Artificial Intelligence (AI) techniques seems to be a promising solution to enhance the control and operation of microgrids in future smart grid networks.

What is a smart microgrid?

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.

How to optimize micro grids?

In conclusion, this study presents a comprehensive approach to optimizing Micro Grids (MGs) by integrating advanced algorithms, specifically the Firefly algorithm, Spider Monkey Optimization (SMO), and a novel hybrid algorithm combining both.

How AI is used in microgrids?

This machine analyzes the input values and accordingly generates the output. AI gives the electric grid more reliability, intelligence and improved responsiveness. It is used for many purposes in microgrids such as integrating renewable energy sources, energy management and forecasting. Table 6 shows the AI techniques applied in the microgrids.

What is the research on microgrids?

At present, the research on microgrids mainly focuses on several aspects, including the modeling of microgrids, the processing of uncertain factors, as well as the scheduling strategy, and specific algorithm solution . A number of scholars adopt various strategies to optimize the established microgrid model [6, 7, 8].

Is AI implementation progressing in microgrid control?

Implementation of AI techniques in microgrid controls is also gaining importance these days. A review on the progress of AI implementation appears in which focuses more on the microgrid stability issues. Authors in also have reviewed the progress on ANN implementation but were limited to a single microgrid only.