2 research outputs found
On the Radiality Constraints for Distribution System Restoration and Reconfiguration Problems
Radiality constraints are involved in both distribution system restoration
and reconfiguration problems. However, a set of widely used radiality
constraints, i.e., the spanning tree (ST) constraints, has its limitations
which have not been well recognized. In this letter, the limitation of the ST
constraints is analyzed and an effective set of constraints, referred to as the
single-commodity flow constraints, is presented. Furthermore, a combined set of
constraints is proposed and case studies indicate that the combined constraints
can gain computational efficiency in the reconfiguration problem.
Recommendations on the use of radiality constraints are also provided.Comment: 4 pages, 3 figures, IEEE PES letter
Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure
It is well known that physical interdependencies exist between networked
civil infrastructures such as transportation and power system networks. In
order to analyze complex nonlinear correlations between such networks, datasets
pertaining to such real infrastructures are required. However, such data are
not readily available due to their proprietary nature. This work proposes a
methodology to generate realistic synthetic power distribution networks for a
given geographical region. A network generated in this manner is not the actual
distribution system, but its functionality is very similar to the real
distribution network. The synthetic network connects high voltage substations
to individual residential consumers through primary and secondary distribution
networks. Here, the distribution network is generated by solving an
optimization problem which minimizes the overall length of the network subject
to structural and power flow constraints. This work also incorporates
identification of long high voltage feeders originating from substations and
connecting remotely situated customers in rural geographic locations while
maintaining voltage regulation within acceptable limits. The proposed
methodology is applied to the state of Virginia and creates synthetic
distribution networks which are validated by comparing them to actual power
distribution networks at the same location.Comment: Accepted for presentation at the IEEE Big Data Conference 202