scholarly journals Enhanced Contingency Analysis—A Power System Operator Tool

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 923
Author(s):  
Hrvoje Bulat ◽  
Dubravko Franković ◽  
Saša Vlahinić

Contingency analysis (CA) is a well-known function in power system planning and operation. In accordance with CA results, the system operator dispenses information regarding static security of the power system (overloads and/or voltage outside tolerable limits). However, classic CA with remedial action schemes cannot distinguish safe operating regimes from potentially dangerous ones in terms of voltage (in)stability. In fact, voltage instability is considered as one of the major threats leading to power system insecurity. Therefore, in this study an enhanced contingency analysis (ECA) is presented where the classical CA is extended with static voltage analysis based on the modal analysis. The article presents a dedicated methodology for the proposed ECA tool, with special emphasis on the analysis of corrective measures provided by the system operator, intended for enhancing power system security (regulation transformer action, distributed generation and energy storage). Also the influence of the load model was analyzed by simulation and the main conclusions are presented. The study demonstrated the advantages that distributed generation resources and energy storage can provide in the context of voltage stability. Also, the simulations acknowledged the importance of correct load modeling, since over or under estimation of a certain load-type component can result in too optimistic or too pessimistic power system operation limits.

Energies ◽  
2015 ◽  
Vol 8 (4) ◽  
pp. 2473-2492 ◽  
Author(s):  
Ying-Yi Hong ◽  
Yuan-Ming Lai ◽  
Yung-Ruei Chang ◽  
Yih-Der Lee ◽  
Pang-Wei Liu

2015 ◽  
Vol 156 ◽  
pp. 436-448 ◽  
Author(s):  
Abbas Marini ◽  
Mohammad Amin Latify ◽  
Mohammad Sadegh Ghazizadeh ◽  
Ahmad Salemnia

2018 ◽  
Vol 7 (2.21) ◽  
pp. 237
Author(s):  
M C. Ramachandran ◽  
K Elango

Contingency analysis is a widely known feature in present day Energy Management System (EMS).The purpose of this strength gadget evaluation feature is to offer the operator records approximately the static security. Contingency analysis of electricity gadget is a major pastime in power device planning and operation. In fashionable an outage of any person of transmission line or transformer might also result in over hundreds in other branches and/or unexpected machine voltage upward push or drop. Contingency evaluation is used to calculate violation. This paper shows the instance on IEEE-14 bus system which offers statistics of violation & remedial action to do away with violations. Exact studies had been completed to work out the contingency plans.  


2018 ◽  
Vol 12 (12) ◽  
pp. 1345-1353 ◽  
Author(s):  
Jing Qiu ◽  
Zhao Xu ◽  
Yu Zheng ◽  
Dongxiao Wang ◽  
Zhao Yang Dong

2013 ◽  
Vol 24 (1-2) ◽  
pp. 148-161 ◽  
Author(s):  
Felipe C. B. Almeida ◽  
João A. Passos Filho ◽  
José L. R. Pereira ◽  
Ricardo M. Henriques ◽  
André L. M. Marcato

2020 ◽  
Vol 25 (4) ◽  
pp. 540-547
Author(s):  
Jesús María López Lezama ◽  
Bonie Johana Restrepo Cuestas ◽  
Juan Pablo Hernández Valencia

Electric transmission and distribution systems are subject not only to natural occurring outages but also to intentional attacks. These lasts performed by malicious agents that aim at maximizing the load shedding of the system. Intentional attacks are counteracted by the reaction of the system operator which deploys strategies to minimize the damage caused by such attacks. This paper presents a bilevel modeling approach for enhancing resilience of power systems with high participation of distributed generation (DG). The model describes the interaction of a disruptive agent that aims at maximizing damage to a power system and the system operator that resorts to different strategies to minimize system damage. The proposed mixed integer nonlinear programming model is solved with a hybrid genetic algorithm. Results are presented on a benchmark power system showing the optimal responses of the system operator for a set of deliberate attacks. It was observed that the higher the participation of DG the lower the impact of the attacks was. The presence of DG also influenced the optimal strategies of the attacker which in some cases deviated from optimal attack plans to suboptimal solutions. This allows concluding that the presence of DG benefits the power system in terms of less expected load shedding under intentional attacks.     


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