A comprehensive review of the voltage stability indices

Modarresi, Javad; Gholipour, Eskandar; Khodabakhshian, Amin

doi:10.1016/j.rser.2016.05.010

Cited by 219 publications

(124 citation statements)

References 69 publications

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“…Even if the controllers solve a local optimization based on limited system observability, the information that are exchanged serve as an input for the optimization problem. Further methods for voltage instability detection including both centralized and local approaches are summarized in [11] and [12].…”

Section: Context and State Of The Artmentioning

confidence: 99%

Agent‐based identification and control of voltage emergency situations

Robitzky

Weckesser²,

Häger

et al. 2018

IET Generation, Transmission & Distribution

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Changing dynamics of power systems caused by the migration from conventional to distributed energy sources increase the risk of blackouts due to voltage instability, especially in case of unforeseen network conditions (e.g., (N-k)-cases). To enable a both secure and efficient power supply, novel monitoring and emergency control systems for the identification of voltage emergency situations as well as the execution of control actions are required that react reliably in due time and adaptively in case of changing network situations. This paper presents a distributed agent-based approach to counteract voltage instability that is based solely on local measurements and limited inter-agent communication. Distributed agents located at substations in the (sub-)transmission network monitor distribution and transmission voltages as well as load tap changer positions and are able to autonomously curtail load in case system stability is endangered. The applicability of the approach is demonstrated in a co-simulation environment interfacing the multi-agent system with a dynamic power system simulation. The presented approach allows for an early detection of voltage instability as well as a coordinated execution of available control actions. IntroductionThe large-scale integration of renewable energy sources and the related decommissioning of conventional power plants change the complexity and dynamics of future power grids. Especially in case of (N-k) situations, the risk of regional or large-scale blackouts due to long-term voltage instability has to be carefully assessed. To counteract critical network conditions, novel emergency control concepts acting timely and making use of available measures are essential for maintaining system stability in future power systems [1]. The major challenges for such systems are (i) a reliable reaction in due time, (ii) the adaptability in case of changing network conditions, (iii) the robustness to communication failures, and (iv) the coordinated activation of countermeasures.As an alternative to centralized system integrity protection schemes requiring significant computational effort in case of largescale grids or the comprehensive installation of wide-area monitoring and control systems, as proposed in [2]. is proposed. Future substations will be connected through high speed communication links which allows for distributed controllers communicating between each other. In particular, a Multi-Agent System (MAS) is developed with intelligent agents situated at substations in the transmission and subtransmission network. Agents monitor the trend of local bus voltages, communicate with other agents and decide about corrective control actions autonomously. The developed approach allows for fast detection of an evolving voltage instability after the system is subjected to severe disturbances as well as the autonomous activation of countermeasures in order to restore a stable state of equilibrium with acceptable bus voltages.The paper is structured as follows. First, in Section 2 the...

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Section: Context and State Of The Artmentioning

confidence: 99%

Agent‐based identification and control of voltage emergency situations

Robitzky

Weckesser²,

Häger

et al. 2018

IET Generation, Transmission & Distribution

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“…Many voltage stability indices have been used to evaluate the voltage instability condition [7,[41][42][43]. In this work, the voltage stability index (VSI) is taken as an indicator of voltage stability.…”

Section: Voltage Stability Assessmentmentioning

confidence: 99%

The Amalgamation of SVR and ANFIS Models with Synchronized Phasor Measurements for On-Line Voltage Stability Assessment

et al. 2017

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This paper presents the application of support vector regression (SVR) and adaptive neuro-fuzzy inference system (ANFIS) models that are amalgamated with synchronized phasor measurements for on-line voltage stability assessment. As the performance of SVR model extremely depends on the good selection of its parameters, the recently developed ant lion optimizer (ALO) is adapted to seek for the SVR's optimal parameters. In particular, the input vector of ALO-SVR and ANFIS soft computing models is provided in the form of voltage magnitudes provided by the phasor measurement units (PMUs). In order to investigate the effectiveness of ALO-SVR and ANFIS models towards performing the on-line voltage stability assessment, in-depth analyses on the results have been carried out on the IEEE 30-bus and IEEE 118-bus test systems considering different topologies and operating conditions. Two statistical performance criteria of root mean square error (RMSE) and correlation coefficient (R) were considered as metrics to further assess both of the modeling performances in contrast with the power flow equations. The results have demonstrated that the ALO-SVR model is able to predict the voltage stability margin with greater accuracy compared to the ANFIS model.

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“…A stable power system usually is able maintain the voltage in the proximity of the voltage level after the disturbance occurrence. Nonetheless, if the system is unable to perform such an action, it encounters voltage collapse inevitably …”

Section: Introductionmentioning

confidence: 99%

“…Nonetheless, if the system is unable to perform such an action, it encounters voltage collapse inevitably. 4 The classic static voltage instability means that some loads reach their allowed maxima, beyond which, the power flow will not converge. 5 Primary methods to determine the stability limit include the use of sequential power flow as the system load rises.…”

mentioning

confidence: 99%

A new approach for static voltage stability assessment in distribution networks

Sadeghi

Foroud

2019

Int Trans Electr Energ Syst

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Summary This study evaluates the voltage stability of distribution networks by introducing a new index. Using the introduced index, it is feasible to analyze the network buses from voltage stability point of view. The index can increase the accuracy along with simplifying and reducing the computational burden. The suggested index is then developed to take into account the effect of distributed generations and tap changers. It has also been enhanced to be employed in smart grids. By doing so, the index value will depend merely on the bus voltages. Consequently, the calculation burden of the index is decreased significantly. In order to analyze the proposed indices, they are calculated in different load models. Two standard 33‐ and 69‐bus distribution networks are utilized to evaluate the performance of the introduced indices. The obtained results are compared with those of other indices showing that the suggested indices lead to less computational burden and sensible and acceptable results.

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A comprehensive review of the voltage stability indices

Cited by 219 publications

References 69 publications

Agent‐based identification and control of voltage emergency situations

Agent‐based identification and control of voltage emergency situations

The Amalgamation of SVR and ANFIS Models with Synchronized Phasor Measurements for On-Line Voltage Stability Assessment

A new approach for static voltage stability assessment in distribution networks

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