Project: #29
Estimation, Predicting and Enhancement of Grid Resilience
Electrical Power Girds are complex dynamical systems which change state very frequently based on the operating scenario, based on the power balance and energy balance between generation and loads.
Frequent network changes and disturbances create system instability leading to collapse which needs to be avoided at any cost. Grid Resilience of disturbances is the main objective of the proposal. Self-Healing Networks are an important concept in grid resilience. The important tasks are in this project 1. Prediction of the Power System Network Operating State 2. Estimation of the parameters influencing the operation states. 3. Identification of the control task required 4. Implementation of the control tasks Identified Grid Resilience and Self-Healing in smart grids are based on the concept of complex networks. The work aims at developing techniques that would resist the failure and rapidly recover from breakdown or collapse. Methods and Techniques to improve the Grid Immunity and Resilience are the concepts which will be introduced and implemented in this proposal. "