Title: Optimal distribution system restoration using PHEVs

Journal Article · · IET Smart Grid
 [1];  [2];  [3];  [3];  [3]
  1. Univ. of Central Florida, Orlando, FL (United States); University of Central Florida
  2. Electric Reliability Council of Texas, Austin, TX (United States)
  3. Univ. of Central Florida, Orlando, FL (United States)

Power outages cost billions of dollars every year and jeopardise the lives of hospital patients. Traditionally, power distribution system takes a long time to recover after a major blackout, due to its top-down operation strategy. New technologies in modern distribution systems bring opportunities and challenges to distribution system restoration. As fast response energy resources, plug-in hybrid electric vehicles (PHEVs) can accelerate the load pickup by compensating the imbalance between available generation and distribution system load. This study provides a bottom-up restoration strategy to use PHEVs for reliable load pickup and faster restoration process. The optimisation problem of finding load pickup sequence to maximise restored energy is formulated as a mixed integer linear programming (MILP) problem. Moreover, the coordination between transmission and distribution restoration is developed to efficiently restore the entire system back to normal operating conditions. Simulation results on one 100-feeder test system demonstrate the efficiency of MILP-based restoration strategy and the benefit from PHEVs to restore more energy in given restoration time. The proposed restoration strategy has great potential to facilitate system operators to achieve efficient system restoration plans. It also provides incentives to deploy a large amount of PHEVs to improve system resiliency.

Research Organization:
Univ. of Central Florida, Orlando, FL (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
EE0007327
OSTI ID:
1601135
Journal Information:
IET Smart Grid, Journal Name: IET Smart Grid Journal Issue: 1 Vol. 2; ISSN 2515-2947
Publisher:
The Institution of Engineering and TechnologyCopyright Statement
Country of Publication:
United States
Language:
English

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