23 research outputs found
Optimizing Service Restoration in Distribution Systems with Uncertain Repair Time and Demand
This paper proposes a novel method to co-optimize distribution system
operation and repair crew routing for outage restoration after extreme weather
events. A two-stage stochastic mixed integer linear program is developed. The
first stage is to dispatch the repair crews to the damaged components. The
second stage is distribution system restoration using distributed generators,
and reconfiguration. We consider demand uncertainty in terms of a truncated
normal forecast error distribution, and model the uncertainty of the repair
time using a lognormal distribution. A new decomposition approach, combined
with the Progressive Hedging algorithm, is developed for solving large-scale
outage management problems in an effective and timely manner. The proposed
method is validated on modified IEEE 34- and 8500-bus distribution test
systems.Comment: Under review in IEEE Transactions on Power System
Efficient Power centric Resilience Maximization Model for Distribution System Using Adaptive Configuration
The resilience is the most dominant factor in any disaster condition which has been approached by various techniques in literature. Some of the methods consider only the power availability and grid states for the resilience maximization. However, they suffer to achieve higher performance in voltage distribution. To solve this issue, an efficient Power Centric Resilience Maximization Model (PCRMM) is presented in this paper. The model monitors the incoming voltage and generates adaptive configuration for the distribution system by considering number of grids, their states, emergency units, essential units, service sectors and so on. By considering all these factors, the method computes the resilience support for different micro grids according to the available voltage. Also, the method computes the functional support for the cycle and based on that dynamic configurations are generated. According to the configuration, the distribution system would trigger the voltage supply to various micro grids to feed voltage to the selected units. The proposed method improves the performance of power distribution with least voltage loss