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Title: Real-Time Optimized Load Recovery Considering Frequency Constraints

Journal Article · · IEEE Transactions on Power Systems
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]
  1. DNV GL Energy, Dallas, TX (United States). Power System Planning Group
  2. Univ. of Central Florida, Orlando, FL (United States)
  3. Univ. of Tennessee, Knoxville, TN (United States)
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A self-healing power grid can mitigate the impact of power outages and recover the affected area swiftly. To properly size the optimal amount and location of de-energized loads in the presence of both conventional and renewable sources, a precise optimization-based load recovery tool is proposed in this paper. The steady-state and transient behaviors of loads have been taken into account. The proposed tool contains three separate problems that interact with each other during the restoration period. The first-level problem determines the dispatching of generation units. The second-level problem comprises the non-linear algebraic equations, whose task is to provide the initial conditions for the third-level problem. Finally, the third-level problem intends to determine the optimal location and amount of load pickup through modeling the governor of generators as well as loads' dynamic behaviors. To examine the effectiveness of the proposed tool, a modified IEEE 39-system under a partial blackout condition has been tested. The results are verified by a commercial time-domain simulation software (PSS/E) to demonstrate the accuracy of the proposed approach. Ultimately, the impact of wind turbine frequency control on the load recovery process has been studied under different penetration levels.

Research Organization:
Univ. of Central Florida, Orlando, FL (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); National Science Foundation (NSF); USDOE
Grant/Contract Number:
EE0007327; ECCS-1552073; EE0007998
OSTI ID:
1601128
Alternate ID(s):
OSTI ID: 1820621
Journal Information:
IEEE Transactions on Power Systems, Vol. 34, Issue 6; ISSN 0885-8950
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 8 works
Citation information provided by
Web of Science

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