Transient stability‐oriented assessment and application of preventive control action for power system

Soni, Bhanu Pratap; Saxena, Akash; Gupta, Vikas; Surana, S.L.

doi:10.1049/joe.2018.9353

Cited by 7 publications

(7 citation statements)

References 29 publications

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“…From the 65 works reviewed, most of them present strategies to damp inter-area oscillations or to improve rotorangle stability. Specifically, 16 papers address inter-area oscillations [78], [81], [115], [122], [125], [130], [151], [179], [182], [193], [199], [227], [236], [238], [241], [248] and 15 papers address rotor-angle stability [137], [139], [161], [166], [180], [204], [206], [207], [210], [213], [216], [218], [219], [231], [233]. From the remaining 34 papers, 7 address frequency stability issues [127], [146], [150], [168], [235], [237], [257] and 10 papers address voltage stability [55], [149], [152], [184], [191], [194], [201], [244],…”

Section: ) Centralized Controlmentioning

confidence: 99%

Review of Wide-Area Controllers for Supporting Power System Stability

et al. 2023

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Countries around the world are transitioning from conventional power systems dominated by synchronous generators towards low-carbon resources, characterized by high levels of converter-interfaced generators (CIGs). With this transformation, hundreds or even thousands of fast power electronic devices will be added to the grid as CIG penetration increases, thus making the system dynamic response progressively faster and more complex. This future scenario poses significant challenges in power system stability and control. To sustain power system stability in future power systems and achieve a seamless transition, we need to depart from current control practices based on decentralized and stand-alone local control actions and begin to explore new methods. A promising technology to overcome control complexities and underlying stability issues in future low-inertia power systems are wide area control (WAC). Within this technology, the control is no longer based on a purely localized tasks but rather a set of coordinated actions across wide areas in which interplant communication plays a key role. This paper presents the state of the art of existing research efforts in the field of WAC strategies for maintaining stability in large-scale low-inertia power systems of the future. We present different WAC solutions that have been put forward hitherto, we put these control strategies into context, classify them, and finally relate them to each other. We also raise open questions and challenges that need to be addressed in order to ensure a secure transition towards power systems dominated by CIGs. INDEX TERMS Power system control, power system stability, time delays, telecommunication issues, widearea measurement systems (WAMSs), wide-area power systems (WAPSs), wide-area control (WAC), power system control architecture, control techniques.

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Section: ) Centralized Controlmentioning

confidence: 99%

Review of Wide-Area Controllers for Supporting Power System Stability

et al. 2023

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“…In our base studies on the ranking of contingencies based on the approached proposed in [38], the mentioned contingency is determined as the most severe fault in this network. Therefore, the same fault is FIGURE 3 The flowchart for the utilization of ACO R to solve the problem studied as the sample fault in the present study, and its cutout time is increased to 100 ms. Evidently, we can choose other fault/faults to be investigated to be ensure the stable operation of the network in the face of their occurrence in power system. To this aim, we need to extract the transient stability constraint related to those other fault/faults using (12) and apply it to the formulation of the problem as a new constraint similar to (13).…”

Section: Simulationmentioning

confidence: 99%

“…While increasing the step time of the simulation can alleviate the computational burden of TSA for large power systems to some extent, it should be noted that decreasing step time could decrease the precision of the assessment. In [3], the authors proposed a coherency‐based selection method to identify the appropriate members for generation rescheduling as a preventive operation in insecure operating contingency. In this regard, Transient Stability Index (TSI) based on rotor angle trajectories was employed to classify the generators as critical or non‐critical generators.…”

Section: Introductionmentioning

confidence: 99%

Transient stability constrained optimal power flow solution using ant colony optimization for continuous domains (ACO _R )

Moradi

Kargar

Abazari

2022

IET Generation Trans & Dist

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This paper aims to improve transient stability using the Ant Colony Optimization for Continuous Domains (ACOR). This improvement is obtained by solving the Transient Stability Constrained Optimal Power Flow (TSCOPF) problem and extracting the sensitivity coefficients. The presented costs minimization approach requires less execution time to manage energy resources efficiently and compared to other conventional methods, it also outperforms based on statistical indicators such as mean and standard deviation. Furthermore, the sensitivity analysis of the suggested method considers the active power generation of the generating units along with their terminal voltage, which notably decreases the operation cost and reduces risk to the power system. On the other hand, the application of ACOR algorithm can reduce the fuel cost of power system operation to 60,928.36 $/h with a decrease of 15.33 $/h compared to the conventional method with a standard deviation equal to 2.51 $/h and an execution time of 7.66 s. This strategy could be used in power system dispatching. This method is implemented on the New England 39 bus system, and the results demonstrate the method's efficiency compared to other conventional methods.

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“…The artificial intelligence method uses the collected data to establish the mapping relationships between the input features and the stable or unstable state to assess whether the power system is stable or not. [19][20][21][22] The artificial intelligence method can overcome the limitations of complex physical models and changing parameters of power systems. It has the advantage of quick assessment online, and the computation effort is less affected by the scale of the power system.…”

Section: Related Workmentioning

confidence: 99%

An AdaBoost-based tree augmented naive Bayesian classifier for transient stability assessment of power systems

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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By focusing on the accuracy limitations of the naive Bayesian classifier in the transient stability assessment of power systems, a tree augmented naive Bayesian (TAN) classifier is adopted for the power system transient stability assessment. The adaptive Boosting (AdaBoost) algorithm is used in the TAN classifier to form an AdaBoost-based tree augmented naive Bayesian (ATAN) classifier for further classification performance improvement. To construct the ATAN classifier, eight attributes that reasonably reflect the transient stability or transient instability of a power system are selected as inputs of the proposed classifier. In addition, the class-attribute interdependence maximization (CAIM) algorithm is used to discretize the attributes. Then, the operating mechanism of the power system is used to obtain the dependencies between the attributes, and the parameters of the ATAN classifier are learned according to the Bayes’ theorem and the criterion of maximizing a posterior estimation. Four evaluation indicators of the ATAN classifier are used, that is, the value of Kappa, the area under the receiver operating characteristic curve (AUC), F1 score, and the average evaluation indicator. Lastly, experiments are implemented on the IEEE 3-generator 9-bus system and IEEE 10-generator 39-bus system. The simulation results show that the ATAN classifier can significantly improve the classification performance of the transient stability assessment of the power system.

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Transient stability‐oriented assessment and application of preventive control action for power system

Cited by 7 publications

References 29 publications

Review of Wide-Area Controllers for Supporting Power System Stability

Review of Wide-Area Controllers for Supporting Power System Stability

Transient stability constrained optimal power flow solution using ant colony optimization for continuous domains (ACO _R )

An AdaBoost-based tree augmented naive Bayesian classifier for transient stability assessment of power systems

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Transient stability‐oriented assessment and application of preventive control action for power system

Cited by 7 publications

References 29 publications

Review of Wide-Area Controllers for Supporting Power System Stability

Review of Wide-Area Controllers for Supporting Power System Stability

Transient stability constrained optimal power flow solution using ant colony optimization for continuous domains (ACO R )

An AdaBoost-based tree augmented naive Bayesian classifier for transient stability assessment of power systems

Contact Info

Product

Resources

About

Transient stability constrained optimal power flow solution using ant colony optimization for continuous domains (ACO _R )