Critical Boundary Index (CBI) based on active and reactive power deviations

Furukakoi, Masahiro; Adewuyi, Oludamilare Bode; Danish, Mir Sayed Shah; Howlader, Abdul Motin; Senjyu, Tomonobu; Funabashi, Toshihisa

doi:10.1016/j.ijepes.2018.02.010

Cited by 46 publications

(36 citation statements)

References 22 publications

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“…Voltage stability margin is recorded as the shortest distance of a current operating point of the power system to the nearest voltage collapse point. Critical boundary index (CBI) is a new tool for quick accurate estimation of power system's voltage stability margin as illustrated using Figure , . The locus of the critical stability limits (voltage collapse points) on Figure is defined by

C false(X, Y false)

\begin{matrix} left left \\ array C (X, Y) = {(r_{i k} X + x_{i k} Y - \frac{U_{i}^{2}}{2})}^{2} - (r_{i k}^{2} + x_{i k}^{2}) (X^{2} + Y^{2}) . \end{matrix}

…”

Section: Power Flow Along Transmission Lines and Power System Securitymentioning

confidence: 99%

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Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning

Adewuyi

Howlader

Olaniyi

et al. 2020

Int Trans Electr Energ Syst

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Summary The performance of a new approach for multiobjective voltage stability constrained‐optimal power flow (VSC‐OPF) formulation is compared with a conventional VSC‐OPF approach for improving the steady‐state power systems security in this paper. The compared OPF problems involve the minimization of the fuel cost and minimization of novel line stability index (NLSI) for case 1 and minimization of fuel cost and maximization of line static stability margin (CBI) for the proposed case 2. Clerc's constricted PSO algorithm modified with the nondominated sorting algorithm is used for obtaining the best solution point for each of the decision variables. Network security constraints and bus voltage limits are considered along with the constraint on permissible line stability margin limit adopting the quadratic penalty model for constraints violations. The approach is tested on a load‐modified IEEE 30‐bus and actual Nigerian 28‐bus systems. From the results obtained, the proposed OPF formulation performed better for simultaneous consideration of voltage stability improvement and line loss reduction.

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C false(X, Y false)

\begin{matrix} left left \\ array C (X, Y) = {(r_{i k} X + x_{i k} Y - \frac{U_{i}^{2}}{2})}^{2} - (r_{i k}^{2} + x_{i k}^{2}) (X^{2} + Y^{2}) . \end{matrix}

…”

Section: Power Flow Along Transmission Lines and Power System Securitymentioning

confidence: 99%

“…Critical boundary index (CBI) is a new tool for quick accurate estimation of power system's voltage stability margin as illustrated using Figure 2,. 46 The locus of the critical stability limits (voltage collapse points) on Figure 2 is defined by C(X, Y ):…”

Section: Critical Boundary Indexmentioning

confidence: 99%

Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning

Adewuyi

Howlader

Olaniyi

et al. 2020

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

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“…In this research, voltage stability is taken into consideration as the second objective function to improve power system stability. The detail of the voltage stability index (VSI) used in this work is contained in [60]; it is called the critical boundary index (CBI), which is a direct estimate of the distance between the current operating point of the power system to the nearest voltage collapse point. CBI gives a satisfactory result for monitoring the stability of the power system with high penetration of PV and energy storage facilities.…”

Section: Multiobjective Schedulementioning

confidence: 99%

Energy Storage System Analysis Review for Optimal Unit Commitment

et al. 2019

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Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.

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“…In this regard, these indicators may seem to be a proper tool for voltage stability assessment. Nevertheless, in the sequel, it will be shown that these indices have a major drawback, which is not considered in the literature . To explain this drawback, consider the simple network shown in Figure A, which includes three transmission lines connected in series.…”

Section: Improved Lsz Indicatorsmentioning

confidence: 99%

“…Nevertheless, in the sequel, it will be shown that these indices have a major drawback, which is not considered in the literature. 35,[48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84] To explain this drawback, consider the simple network shown in Figure 13A, which includes three transmission lines connected in series. In this network, the maximum transferable power is 67 as follows: When P max passes through the transmission corridor, it is expected that the line indices calculated for line 2 (or two other ones) reach to their critical threshold to show the proximity of the operating point to stability boundary.…”

Section: Figure 12mentioning

confidence: 99%

A comprehensive assessment to propose an improved line stability index

Yari

Khoshkhoo

2019

Int Trans Electr Energ Syst

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Summary So far, several line stability indices have been introduced and used for evaluating voltage stability status of power systems. The objective of this paper is to propose a comprehensive assessment of these indices and also to propose a modified line stability index to accurately assess the stability status of networks in different situations. To this purpose, the performance of several line indices at different conditions is analyzed. Also, to categorize system states to normal, alert, and emergency, proper thresholds are proposed for these indices. It will be shown that although line indices are able to properly assess the stability of a two‐bus system, they cannot detect the stability status in real networks. Therefore, a modified index has been proposed, which can accurately assess the stability status of power systems. The static and dynamic simulation results performed in the Institute of Electrical and Electronics Engineer (IEEE) 39‐ and 118‐bus test systems verify the performance of the proposed index.

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Critical Boundary Index (CBI) based on active and reactive power deviations

Cited by 46 publications

References 22 publications

Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning

Comparative analysis of a new VSC‐optimal power flow formulation for power system security planning

Energy Storage System Analysis Review for Optimal Unit Commitment

A comprehensive assessment to propose an improved line stability index

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