Voltage Dependence Of Composite Loads In Power Systems

Ohyama, Takeshi; Watanabe, Akinobu; Nishimura, Kazuo; Tsuruta, Shinji

doi:10.1109/tpas.1985.318814

Cited by 49 publications

(15 citation statements)

References 5 publications

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“…Practical load models of industrial, residential, commercial, Ref. [24] and mixed types are used for comparison with constant power load model. It has been demonstrated that the knowledge of values of a and b is necessary; however, it may be in approximate sense for obtaining optimum reconfiguration.…”

Section: Resultsmentioning

confidence: 99%

“…A set of practical load models of industrial, residential, commercial type and that of Ref. [24] is used for comparison with constant power load models used normally in power system studies. While investigating effects of particular load type, the system is assumed to be supplying the same type of consumers only (for example, all loads are modelled residential type if residential type of consumer is being studied).…”

Section: Methodology Adoptedmentioning

confidence: 99%

“…For example if s P ¼ s Q ¼ s S ¼ 0.125, the configurations for constant, mixed, industrial, commercial, residential and Ref. [24] are shown in Figs. 3b, c, d, e, d and m, respectively.…”

Section: Effect Of Load Model On Multiobjective Reconfigurationmentioning

confidence: 99%

“…4 it is observed that for a particular tariff structure the difference of intakes may vary from an insignificant value (residential Ref. [24]) to a significant value of 3000 units (industrial for Q intake ). However, in Fig.…”

Section: Post-configuration Intake Analysismentioning

confidence: 99%

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Multi-objective feeder reconfiguration in different tariff structures

Singh

Misra

2010

IET Gener. Transm. Distrib.

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Section: Resultsmentioning

confidence: 99%

Section: Methodology Adoptedmentioning

confidence: 99%

“…For example if s P ¼ s Q ¼ s S ¼ 0.125, the configurations for constant, mixed, industrial, commercial, residential and Ref. [24] are shown in Figs. 3b, c, d, e, d and m, respectively.…”

Section: Effect Of Load Model On Multiobjective Reconfigurationmentioning

confidence: 99%

Section: Post-configuration Intake Analysismentioning

confidence: 99%

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Multi-objective feeder reconfiguration in different tariff structures

Singh

Misra

2010

IET Gener. Transm. Distrib.

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“…Specifically, seven types of static equivalent models and two types of dynamic equivalent models are incorporated into the toolbox. Static equivalents include the well-known Electric Power Research Institute (EPRI) model [29], the exponential (EXP) model [26], the polynomial or ZIP model [26], the ZIP-exponential model [30] as well as the static equivalents proposed by Sabir in [31], Ohyama in [32], and Frantz in [33]. Note that EPRI, EXP, ZIP and ZIP-EXP models are developed both with and without considering a frequency-dependent term.…”

Section: Functionalities Of System Identification and Equivalent Modementioning

confidence: 99%

A Toolbox for Analyzing and Testing Mode Identification Techniques and Network Equivalent Models

et al. 2019

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During the last decade the dynamic properties of power systems have been altered drastically, due to the emerge of new non-conventional types of loads as well as to the increasing penetration of distributed generation. To analyze the power system dynamics and develop accurate models, measurement-based techniques are usually employed by academia and power system operators. In this regard, in this paper an identification toolbox is developed for the derivation of measurement-based equivalent models and the analysis of dynamic responses. The toolbox incorporates eight of the most widely used mode identification techniques as well as several static and dynamic network equivalencing models. First, the theoretical background of the mode identification techniques as well as the mathematical formulation of the examined equivalent models is presented and analyzed. Additionally, multi-signal analysis methods are incorporated in the toolbox to facilitate the development of robust equivalent models. Additionally, an iterative procedure is adopted to automatically determine the optimal order of the derived models. The capabilities of the toolbox are demonstrated using simulation responses, acquired from large-scale benchmark power systems, as well as using measurements recorded at a laboratory-scale active distribution network.

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A review of synchrophasor applications in smart electric grid

Lee

Tushar

Cui

et al. 2016

WIREs Energy & Environment

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The adoption of synchrophasor technology with ongoing smart grid activities has resulted in a transformation of the power system monitoring and control practices. Phasor measurement units (PMUs) synchronized by the global positioning system (GPS) provide time‐stamped voltage and current phasors at faster rate for enhanced situational awareness and decision support compared to existing legacy technology and help in improving the reliability of the power system. The measurements from PMU can be used for number of possible applications and can be classified based on the time criticality requirements (e.g., adaptive protection vs state estimation (SE)), control center versus engineering analysis (e.g., state estimation vs model validation), monitoring versus control (e.g., angle monitoring vs stability control), and existing versus evolving (e.g., state estimation vs transient stability) applications. Some of these synchrophasor applications like monitoring and postmortem studies have been already adopted by power industry, some of the synchrophasor‐based control applications are still being investigated. In this study, various power system applications supported by synchrophasor technology are reviewed and discussed. WIREs Energy Environ 2017, 6:e223. doi: 10.1002/wene.223 This article is categorized under: Energy Systems Economics > Systems and Infrastructure

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Voltage Dependence Of Composite Loads In Power Systems

Cited by 49 publications

References 5 publications

Multi-objective feeder reconfiguration in different tariff structures

Multi-objective feeder reconfiguration in different tariff structures

A Toolbox for Analyzing and Testing Mode Identification Techniques and Network Equivalent Models

A review of synchrophasor applications in smart electric grid

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