2020
DOI: 10.1016/j.apenergy.2019.114331
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Sensitivity analysis of volt-VAR optimization to data changes in distribution networks with distributed energy resources

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Cited by 14 publications
(9 citation statements)
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“…Recently, efforts have been directed toward handling complexities in DMES, for example, via uncertainty analysis (ie, interval, fuzzy, and stochastic programming) and sensitivity analysis. [24][25][26][27] Mavromatidis et al used stochastic linear programming for distributed energy system optimization, where uncertain parameters and probabilistic scenarios were designed to illustrate the complexities of the system. 24 Mohammadi et al presented a fuzzy-based scheduling model for handling the multiple uncertainties of integrated multi-energy systems, in which the effects of uncertainties caused by variations in the energy supply and electricity price were analyzed.…”
Section: Literature Review and Research Gapmentioning
confidence: 99%
“…Recently, efforts have been directed toward handling complexities in DMES, for example, via uncertainty analysis (ie, interval, fuzzy, and stochastic programming) and sensitivity analysis. [24][25][26][27] Mavromatidis et al used stochastic linear programming for distributed energy system optimization, where uncertain parameters and probabilistic scenarios were designed to illustrate the complexities of the system. 24 Mohammadi et al presented a fuzzy-based scheduling model for handling the multiple uncertainties of integrated multi-energy systems, in which the effects of uncertainties caused by variations in the energy supply and electricity price were analyzed.…”
Section: Literature Review and Research Gapmentioning
confidence: 99%
“…The well-known VVO concept offers the opportunity to change the electrical energy consumption based on the voltage regulation in the distribution system with the use of a change in reactive power. Research [11] proposed the intelligent transducer regulating voltage by absorbing or supplying reactive power (Var) to the network or from the network using the Volt-Var control function. This article deals with the capacitive (that is, Var-injection) and inductive (that is, Var-absorption) effects using the intelligent inverter and its ability to affect the voltage at the distribution level.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Paper [12] presents the VVO optimization model to establish priority sensitivity to data changes, based on precise measurement in order to improve the programs of response to electricity consumption. The presented analysis of literary sources [5][6][7][8][9][10][11][12] makes it possible to estimate the optimization of distributed generation of electric power without taking into account the interaction of electric power production and consumption, that is, without estimation of functional efficiency of generating systems. Traditionally, the use of reactive power to control the voltage in an electric network is carried out by means of, for example, transformers, capacitor batteries, voltage regulators, static synchronous compensators, etc.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
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“…In [5], a cyberphysical control system for distributed generation of electrical energy, based on the theory of a consensus protocol, is proposed. In [6], an intelligent converter for voltage regulation by absorbing or supplying reactive power is proposed. In [7], a model for prioritizing sensitivity to changes in data is presented, based on accurate measurement of electrical energy consumption.…”
Section: Introductionmentioning
confidence: 99%