Distributed Scheme for Line Overload Mitigation With Linearized AC Power Flow

The transmission overload after a disturbance poses significant security risk to the power system. Once it happens, an efficient remedial action must be taken to relieve the line overloads as quickly as possible. The line overload mitigation problem becomes more urgent and challenging in the future...

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Bibliographic Details
Published inIEEE transactions on circuits and systems. II, Express briefs Vol. 69; no. 6; pp. 2877 - 2881
Main Authors He, Qiao, Ding, Li, Kong, Zheng-Min, Hu, Ping, Guan, Zhi-Hong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Biological system modeling
corrective control
Costs
distributed algorithm
Electric power grids
Electric power systems
Error compensation
Flow control
Generators
Line overload
Linearization
Mathematical models
multi-agent system
optimal power flow
Optimization
Overloading
Power flow
Power transmission lines
Security
Transmission lines
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Summary:The transmission overload after a disturbance poses significant security risk to the power system. Once it happens, an efficient remedial action must be taken to relieve the line overloads as quickly as possible. The line overload mitigation problem becomes more urgent and challenging in the future power grid that integrates distributed and fluctuating renewable energies. In this brief, we propose a distributed corrective control scheme for alleviating the overloads in transmission lines. A linearized AC power flow model is introduced, and the error of linearizion is compensated through a close loop of power flow control. The proposed distributed control framework not only satisfies the need of accommodating distributed resources in future grids, but also guarantees the system security during the line overload mitigation process. The performance of our corrective control scheme is demonstrated in the simulations using the IEEE 14-bus test system.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2022.3151708