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Flexibility in transmission switching for congestion management

Authors: Akhil Kumar Gupta; Deep Kiran; A. R. Abhyankar;

Flexibility in transmission switching for congestion management

Abstract

In decentralized dispatch philosophy, system operator (SO) only deviate the final schedules in order to maintain network security (i.e. line overloading, outages, voltage and frequency deviations, etc.) in real time operation. Before going for the dispatch deviations, SO has the option of changing the network topology (i.e. switching of transmission lines) so as to redistribute the power from anticipated overloaded lines to under-utilized lines based on Kirschoff's laws. Presently, this is performed based on SO's experience which may alleviate the overloading, however, this may not be the optimal way. Moreover, change of network topology may initiate steady state angular stability issues in case of any erroneous set of schedules. Therefore, this paper proposes a mixed integer type transmission switching problem (TSP) so as to optimally define the set of lines to be opened in order to alleviate overloading such that the angular stability is maintained. A detailed comparison of the proposed formulation with and without steady state angular stability constraints are presented. It is observed that for the same set of schedules, the number of lines to be opened changes with respect to the steady state angular stability constraints. The proposed formulation is verified on PJM 5-bus and IEEE 118-bus system.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
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