Article Details

Optimization of Microgrid fed from Hybrid Energy Sources using the Swarm Intelligence | Review Article

Mrs. Sarika Satpute*, Sunil Kumar, in Journal of Advances in Science and Technology | Science & Technology


To combat the widening gap between demand and supply, it is crucial to include renewable energy sources as a Distributed Generation newline (DG). Despite their usefulness in reducing the gap, RE sources place a heavy pressure on generation scheduling, particularly wind power. Utilities are compelled to use wind curtailment due to fluctuations in wind energy output, which reduces the incentive to switch to renewable sources of power. Demand Side Management (DSM) is one approach to this problem, since it adjusts demand in real time to match generation while the grid is operating. Conventional Demand Response (DR) systems were created to minimise consumption during peak hours by arranging user loads in exchange for incentives. The Smart Grid (SG) concept provides a high-tech means of communication for keeping tabs on and managing the power grid. This motivated the creation of a sophisticated DR technique known as Demand Dispatch (DD), in which consumption is timesynchronized with electricity production. In order to deal with the fluctuations in wind power production, this thesis proposes a DD method. The entities involved in DD and the way in which data is shared between them are laid out in an operational framework. In order to find and evaluate all of the studies that have been published on a certain topic, researchers often undertake systematic literature reviews.