(622g) Energy Network Dispatch Optimization Under Emergent Events of Local Energy Shortage

Agile energy dispatching due to emergent local energy shortage through a complex energy network is one of the critical tasks in the world, especially in certain emergent situations.  In recent several years, there are frequent occurrences of extreme events such as U.S. Southern Storm and Tornado (2011), Japan’s earthquake and tsunami (2011), India power shortage (2010), and U.S. Atlantic Hurricane (2005).  Such kind of events always causes problems of local energy shortage, which make local areas suffer from rescue delay, large-scale blackout, economic losses, and even social safety problems.  Therefore, the reduction of energy recovery time should be the first priority of the emergency rescue plan.

In his study, a new methodology is developed for energy network dispatch under emergent event of local energy shortage.  This methodology has included two stages. In the first stage, the energy network has been structured and characterized. The capacity, quantity, and availability of different energy sources have been determined, where multi-dimensional “Energy Vector” and “Energy Source Vector” are proposed. In the second stage of modeling optimization, the discussion of local energy shortage has included the conditions of both energy source shortage and transmission network interruption.  The optimization problem can be formulated as the sequence scheduling of energy source dispatch, energy conversion technology and energy transportation with the introduction and adoption of energy conversion efficiency metrics, energy conversion speed metrics and energy transportation speed vector.   The objective of the optimization problem is to minimize the restoration time of local energy supply. Due to uncertainty in demand quantity of energy shortage, parametric programming is utilized for the comprehensive consideration.