Balancing Energy Flexibilities Through Aggregation

One of the main goals of recent developments in the Smart Grid area is to increase the use of renewable energy sources. These sources are characterized by energy fluctuations that might lead to energy imbalances and congestions in the electricity grid. Exploiting inherent flexibilities, which exist in both energy production and consumption, is the key to solving these problems. Flexibilities can be expressed as flexoffers, which due to their high number need to be aggregated to reduce the complexity of energy scheduling. In this work, we investigate balance aggregation techniques that already during aggregation aim at balancing flexibilities in production and consumption to reduce the probability of congestions and reduce the complexity of scheduling. We propose improvements and present results of our extensive experiments.