Credit: Yun-Su Kim of the Gwangju Institute of Science and Technology
- Renewable energy is seen as an answer to climate change, but its deployment is limited by the variability and volatility of most renewable energy sources. Microgrids are a promising solution to this problem. Microgrids are smaller, localized power grids that can be connected to the region's main grid, but can also be disconnected or "islanded" as needed. Models that control the operation of microgrids, such as load shedding scheduling, are key to their efficient operation. But to date, most microgrid models have either neglected the uncertainties and fluctuations in renewable energy or assumed the worst-case scenario, which can lead to an increase in undelivered energy (ENS) and operating costs.
Therefore, a research team from the Gwangju Institute of Science and Technology in South Korea has developed a new two-stage stochastic optimization model to minimize operating costs and load shedding.
