Static security assessment of power systems: A review

Gholami, M.; Sanjari, M. J.; Safari, Mostafa; Akbari, Mahdi; Kamali, Mohammadreza R.

doi:10.1002/2050-7038.12432

Cited by 38 publications

(24 citation statements)

References 88 publications

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“…The primary goal of static power system security assessment is to predict line flows and bus voltages in the power system in a steady state under normal and congested conditions 3,4 . This assessment can be achieved by calculating various indices/system parameters.…”

Section: Static Power System Security Assessment Parameters/indicesmentioning

confidence: 99%

“…Under standard and congestion conditions (transactions and contingencies), the static power system security assessment determines the possible degree of deviation of voltages and thermal limits of transmission parameters 2 . For power system security analysis, a few static security indices have been proposed 3,4 . This is one of the challenges in building a reliable and secure electricity system.…”

Section: Introductionmentioning

confidence: 99%

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Assessment and enhancement of static power system security with multi‐line FACTS devices under congestion conditions

Upputuri

Kumar

2021

Int Trans Electr Energ Syst

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Summary Deregulation of power system is advantageous economically, but this affects the voltage and thermal stability of the transmission lines. These effects on the transmission line are assessed by the stability analysis of the power system. Various power system security parameters/indices are proposed in the literature, but only a few are used in security assessment studies. In this work, numerous critical sensitive indices are considered in terms of transmission line loading and bus voltage magnitude deviation to carry out security assessment studies. The optimal placement of FACTS devices enhances the security of the power system. Therefore, in this work, multi‐line unified power flow controllers (UPFC, GUPFC) are employed for power system security enhancement. The present paper provides an in‐depth security assessment for the power system incorporated with multi‐line UPFCs operated with and without control modes (voltage, active, and reactive power) at different case scenarios. These cases constitute normal, transaction, and contingency conditions of a deregulated power system operating at specified transaction limits. The proposed security enhancement strategy is implemented on standard IEEE test systems such as the 30‐ and 118‐bus systems. The results obtained with UPFC and GUPFC are promising for security enhancement of a power system constricted to the specified transaction limits. Among the FACTS controllers, GUPFC has shown better performance, especially in contingency conditions.

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Section: Static Power System Security Assessment Parameters/indicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment and enhancement of static power system security with multi‐line FACTS devices under congestion conditions

Upputuri

Kumar

2021

Int Trans Electr Energ Syst

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“…However, in practice, the European frequency (50 Hz) is fairly unstable due to the fact that the supplied signal is not exactly sinusoidal, with permissible limitations of 50 Hz for systems with synchronized connections and 50 Hz in systems that are disconnected. [2,3]. Figure 1 depicts the whole electrical network, complete with power meters [5] installed at strategic locations.…”

Section: Introductionmentioning

confidence: 99%

“…The first has a precision of 1 ppm and delivers a traceable time stamp through a 1 pulse per second (PPS) signal. While large software schematics and programming codes may cause delays, the proposed PQ system can collect frequency values every 10 seconds [2] with an unprecedented temporal resolution of more than 20 milliseconds [16,17]..…”

Section: Introductionmentioning

confidence: 99%

Frequency Monitoring Analysis based Power Quality Operational Data Management System

SaiHimajaChowdary¹,

Mantri²,

Neelakantappa³

2022

J. Phys.: Conf. Ser.

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In this work, a low-cost measurement solution (named PyFreqDAQ) has been developed to monitor the frequency of the electrical network, which is regarded a quality parameter of the electrical supply, and at the same time provide a more precise result thanks to the usage of the Allan variance. Software (Grafana) is available for free and can be used to track the frequency’s change over time in order to better understand how it is maintained within certain parameters. Two distinct techniques of calculating the frequency have been used to show the device’s power consumption. For starters, we’ll follow the guidelines established by IEC 61000-4-30 The Allan variance-based approach, on the other hand, uses an algorithm that offers a more precise frequency measurement and a GPS-traceable reference value. With the Allan variance-based method, one can expect improved precision and accuracy, as well as faster calculations and a wider range of observations. A significant advantage over other applications (e.g. labVIEWTM) is the flexibility demonstrated by Python while programming the data capture card and interacting with the database Because Python is a more powerful programming language, it allows for operations and calculations to be carried out using simple codes, while also allowing for minimal computational load and consuming considerably less working memory. To date, there hasn’t been any comparative research done between Python and LabVIEWTM.

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“…FIGURE21 Chronological plot of metrics for the proposed scheme in the 118-bus system: (a) metrics based on the confusion matrix and (b) composite metrics…”

mentioning

confidence: 99%

Novel continuous learning scheme for online static security assessment based on the weather‐dependent security index

Mollaiee

Ameli

Azad

2022

IET Generation Trans & Dist

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Due to the expansion of the decarbonization in modern power systems, particularly the high integration of renewable energy resources, more and more uncertainties and variabilities are brought to electricity systems. These uncertainties change the system operating conditions and face the power system with unknown issues. The secure operation of modern power systems requires developing security assessment techniques that effectively mitigate the variation of the operating conditions. This paper proposes a novel continuous learning scheme for online static security assessment (SSA) that enables the periodic renovation of the assessment model. The scheme consists of a Mondrian forest (MF)‐based training model and database generation approach conducting characteristics of operating conditions. The employed security index is a new weather‐depended performance index whose ambient temperature can affect line ratings. After the new training set is generated in the update procedure, the MF algorithm is updated using this data. Eventually, the SSA model is enriched with current circumstances in the power system. The proposed scheme is examined using real‐world data mapped to the New England 39‐bus and 118‐bus standard test systems. The effectiveness and superior performance of the proposed method are demonstrated using various criteria and measures.

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Static security assessment of power systems: A review

Cited by 38 publications

References 88 publications

Assessment and enhancement of static power system security with multi‐line FACTS devices under congestion conditions

Assessment and enhancement of static power system security with multi‐line FACTS devices under congestion conditions

Frequency Monitoring Analysis based Power Quality Operational Data Management System

Novel continuous learning scheme for online static security assessment based on the weather‐dependent security index

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