Reliable Implementation of Robust Adaptive Topology Control

Kezunovic, Mladen; Popović, Tomo; Gurrala, Gurunath; Dehghanian, Payman; Esmaeilian, Ahad; Tasdighi, Mohammad

doi:10.1109/hicss.2014.312

Cited by 18 publications

(5 citation statements)

References 14 publications

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“…However, CSA is a selection algorithm that was only focussed on linearised DC model and user-specified line list; it did not consider all lines in the network. Robust adaptive topology control was thereafter suggested with some practical requirements for reliable implementation of the TLS, to identify lines that may be switched back to service after being tripped erroneously by a relay (Kezunovic et al , 2014). As a follow-up on the adaptive topology control, TLS is further applied to show line vulnerability and susceptance to outages during a sudden loss of transmission line (Okojie et al , 2015).…”

Section: Taxonomy Of Transmission Line Switchingmentioning

confidence: 99%

Optimal capacity utilisation of transmission lines network in power flow operations: a survey

Okojie

Jimoh

Hamam

et al. 2019

JEDT

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Purpose This paper aims to survey the need for full capacity utilisation of transmission lines in power systems network operations. It proposes a review of the N-1 security criterion that does not ensure reliable dispatch of optimum power flow during outage contingency. The survey aims to enlarge the network capacity utilisation to rely on the entire transmission lines network operation. Design/methodology/approach The paper suggests transmission line switching (TLS) approach as a viable corrective mechanism for power dispatch. The TLS process is incorporated into a constraint programming language extension optimisation solver that selects the switchable line candidates as integer variables in the mixed integer programming problem. Findings The paper provides a practical awareness of reserve capacity in the lines that provide network security in outage contingency. At optimum power flow dispatch, the TLS is extended to optimal transmission line switching (OTLS) that indicates optimal capacity utilisation (OCU) of the available reserve capacity (ARC) in the network lines. Practical implications Computational efficiency influenced the extension of the OTLS to optimal transmission switching of power flow (OTSPF). The application of OTSPF helps reduce the use of flexible AC transmission systems (FACTS) and construction of new transmission lines.. Originality/value The paper surveys TLS efforts in network capacity utilisation. The suggested ARC fulfils the need for an index with which the dispatchable lines may be identified for the optimal capacity utilisation of transmission lines network.

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Section: Taxonomy Of Transmission Line Switchingmentioning

confidence: 99%

Optimal capacity utilisation of transmission lines network in power flow operations: a survey

Okojie

Jimoh

Hamam

et al. 2019

JEDT

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“…Under the normal assumption for both distributions prior and likelihood in (8), the explicit computation of variance is not necessary. Instead it is computationally favorable to compute the optimal trade-off parameter nu from the interval [0, 1].…”

Section: Data Analyticsmentioning

confidence: 99%

“…Transmission systems operators need to identify approximate locations of outages so that crews can be efficiently dispatched [7]. While the line outage is in effect, and crews are inspecting and repairing the damage, the operator may implement adequate switching actions to reduce the impact of the outage on the overall supply [8].…”

Section: Introductionmentioning

confidence: 99%

Improved Transmission Line Fault Location Using Automated Correlation of Big Data from Lightning Strikes and Fault-Induced Traveling Waves

Kezunovic

Djokic²,

Chen

et al. 2015

2015 48th Hawaii International Conference on System Sciences

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This paper investigates how correlating crossdomain big data from the lightning surge and the traveling wave measurements in time and space can be used to improve fault location accuracy. The integration and correlation of big data in time and space using Global Positioning System and Geographic Information System respectively improves knowledge about faults on transmission lines caused by lightning. The benefits of proposed method are: a) the decision process can be accelerated through automation, and b) better accuracy of fault location result can be provided due to the data correlation. The benefit is a more efficient outage management procedure.

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“…Practical implementation concerns and impacts on circuit breaker reliability are studied in [37]- [40]; AC formulation of topology control optimization is approached in [41], [42]; Out-of-market corrections of the AC infeasible market solutions for day-ahead accommodation of transmission line switching is investigated in [43], [44]. Scalability concerns of topology control implementations in real-world power systems are addressed in [19], [45]- [49].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Decision Making for the Bulk Power System Optimal Topology Control

Dehghanian

Kezunovic

2016

IEEE Trans. Smart Grid

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Power system topology control through transmission line switching for economic gains and reliability benefits has been recently considered in day to day operations. This paper introduces a probabilistic formulation for a more efficient application of topology control strategies in real world scenarios with anticipated increase in the presence of highly variable renewable generation and uncertain loads. Such uncertainties are modeled via the Point Estimation Method (PEM) embedded into the DC optimal power flow (DCOPF)-based formulations for optimal switching solutions. Hourly and daily advantages of the proposed probabilistic framework, compared to the conventional operations and deterministic formulations, are discussed. As the anticipated economic gains would increase through sequential implementation of several switching actions, a new probabilistic decision making approach to identify the optimal number of switching actions at each hour is also proposed. This decision support tool uses the probabilistic reliability cost/value analytics in which not only the financial benefits, but also the costs of reliability risks are taken into account. The approach is tested through various scenarios on the modified IEEE 118-bus test system, with and without renewables integration, and the results revealed its applicability and efficiency.

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Reliable Implementation of Robust Adaptive Topology Control

Cited by 18 publications

References 14 publications

Optimal capacity utilisation of transmission lines network in power flow operations: a survey

Optimal capacity utilisation of transmission lines network in power flow operations: a survey

Improved Transmission Line Fault Location Using Automated Correlation of Big Data from Lightning Strikes and Fault-Induced Traveling Waves

Probabilistic Decision Making for the Bulk Power System Optimal Topology Control

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