Decentralized Load Shedding Method Based on Voltage Stability Margin Index Using Synchrophasor Measurement Technology

Lee, Yunhwan; Song, Hwachang

doi:10.3390/electronics7110277

Cited by 8 publications

(5 citation statements)

References 41 publications

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“…PMUs provide a synchronized magnitude and phase estimation under a coordinated universal time (UTC) of an electric signal [24,25]. This signal is determined by:…”

Section: Harmonic Phasor Modelmentioning

confidence: 99%

Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

et al. 2019

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Phasor measurement units (PMUs) have become powerful monitoring tools for many applications in smart grids. In order to address the different issues related to harmonics in power systems, the fundamental phasor estimator in a PMU has been extended to the harmonic phasor estimator by several researchers around the world. Yet, the development of harmonic phasor estimators is a challenge because they have to consider time-varying frequencies since the frequency deviation in the harmonic components is proportional to the harmonic order in a dynamic way. In this work, a new algorithm for harmonic phasor estimation using an instantaneous single-sideband (SSB) modulation is presented. Unlike other SSB-based approaches, its implementation in this work is based on concepts of instantaneous phase and instantaneous frequency. In general, the proposed algorithm is divided into two stages. Firstly, the estimation of the fundamental phasor is carried out by means of a complex finite impulse response (FIR) filter which provides the analytic signal used to compute the instantaneous magnitude, phase, and frequency. Secondly, a complex FIR filter bank is proposed for the estimation of the harmonic components, where the instantaneous SSB modulation technique is applied in order to center the harmonic components into specific narrow bands for each complex filter when an off-nominal frequency occurs. The validation of the proposed algorithm is carried out by means of the current standards of phasor measurement units, i.e., Std. C37.118.1-2011 and C37.118.1a-2014, which involve steady-state, dynamic, and time performance tests.

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“…PMUs provide a synchronized magnitude and phase estimation under a coordinated universal time (UTC) of an electric signal [24,25]. This signal is determined by:…”

Section: Harmonic Phasor Modelmentioning

confidence: 99%

Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

et al. 2019

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“…A PMU is an increasingly used monitoring tool in power systems [18]. In general, this tool uses both a phasor estimator to obtain magnitude, phase, and frequency of voltage and current signals, and a global positioning system to synchronize the measurements to an absolute time reference [44,45]. The IEEE Standard C37.118.1 establishes the steady-state and dynamic requirements that have to be achieved by a PMU and presents a reference phasor estimation model that satisfies them [41].…”

Section: Phasor Measurement Unitmentioning

confidence: 99%

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

et al. 2018

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Over the past few years, power quality (PQ) monitoring has become of paramount importance for utilities and users since poor PQ generates negative consequences. In monitoring, fast detection and accurate classification of PQ disturbances (PQDs) are desirable features. In this work, a new method to detect and classify PQDs is proposed. The proposal takes advantage of the low computational resources of both a phasor measurement unit (PMU)-based signal processing scheme and the homogeneity approach. To classify the PQDs, if–then–else rules are used. To validate and test the proposal, synthetic and real signals of sags, swells, interruptions, notching, spikes, harmonics, and oscillatory transients are considered. For the generation of real signals, a PQD generator based on a power inverter is used. In the proposed method, the PMU information is directly used to classify sags, swells, and interruptions, whereas the homogeneity index is used to distinguish among the remaining PQDs. Results show that the proposal is an effective and suitable tool for PQ monitoring.

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“…The Under-Voltage-Load-Shedding (UVLS) process might be considered a feasible resolution in cases where voltage instability is anticipated. The traditional UVLS design is activated when the voltage stability criteria are violated, and the scheme of a UVLS is employed when the voltage level drops below a pre-established threshold [2]. Voltage stability takes great significance in studies of electrical power grids to reach a more reliable and stable system.…”

Section: Introductionmentioning

confidence: 99%

Load Shedding and Reactive Power Compensation of Distribution System Using TLPO Algorithm under Different Load Models

2024

IJIES

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The most critical strategy to keep the electrical grid from collapsing is load shedding. However, by itself, this approach is unable to achieve system stabilization, as well as frequency and voltage have an impact on the network's stability as well. Traditional load-shedding designs do not take into account the various load models and the declining economic cost associated with load disconnecting. When calculating load flow, multiple load models like constant power (C.P), constant current (C.I), constant impedance (C.Z), and combined load (ZIP) may be involved, but all loads are typically described as constant electrical power (C.P). In this article, the idea of a dual approach to load shedding and capacitor placement is adopted to maximize the amount of power loss reduction in the distribution network, taking into account different load models and determining the best one that leads to the least losses, the best voltage profile, and the lowest cost. To minimize load shedding for the network and choose the optimal capacitor size and location, the Teaching Learning Based Optimization (TLBO) algorithm. The outcomes showed that using the ZIP scenario is the superior model for all scenarios in terms of reducing active power losses by about 66.018% and lowering the percentage of load shedding to 19.5195%.

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Decentralized Load Shedding Method Based on Voltage Stability Margin Index Using Synchrophasor Measurement Technology

Cited by 8 publications

References 41 publications

Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

Load Shedding and Reactive Power Compensation of Distribution System Using TLPO Algorithm under Different Load Models

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