Reduction of peak demand in micro smart grid by means of elastic model of power management

Powroźnik, Piotr

doi:10.15199/48.2016.12.53

Cited by 2 publications

(1 citation statement)

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“…There are models developed for maintaining energy supply and demand. For example, in [6], such a model is presented for a micro smart grid containing equipment whose power consumption could be controlled. However, in the conditions of the UES of Russia, where most consumers need a permanent power supply, such models could not be applied.…”

Section: Introductionmentioning

confidence: 99%

Digital Identification Algorithms for Primary Frequency Control in Unified Power System

2021

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The article studies and develops the methods for assessing the degree of participation of power plants in the general primary frequency control in a unified energy system (UES) of Russia based on time series analysis of frequency and power. To identify the processes under study, methods of associative search are proposed. The methods are based on process knowledgebase development, data mining, associative research, and inductive learning. Real-time identification models generated using these algorithms can be used in automatic control and decision support systems. Evaluation of the behavior of individual UES members enables timely prevention of abnormal and emergency situations. Methods for predictive diagnostics of generating equipment in terms of their readiness to participate in the primary frequency control are also proposed. In view of the non-stationarity of the load in electrical networks, the algorithms have been developed using wavelet analysis. Case studies are given showing the operating of the proposed methods.

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Section: Introductionmentioning

confidence: 99%