Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption

Senchilo, Nikita Dmitrievich; Ustinov, Denis Anatolievich

doi:10.3390/en14217098

Cited by 26 publications

(16 citation statements)

References 49 publications

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“…Gradually, through the introduction of legislation and regulations, the involvement of companies is increasing, and a conscious approach is growing due to the large-scale popularization of reasonable consumption and energy efficiency. However, the lack of research on the study of the characteristics of the behavior of various consumers from the standpoint of involvement in flexible load management does not allow to fully use all current potential opportunities [47,48].…”

Section: Pilot Project On Demand Response In Russiamentioning

confidence: 99%

Development of an Algorithm for Regulating the Load Schedule of Educational Institutions Based on the Forecast of Electric Consumption within the Framework of Application of the Demand Response

et al. 2021

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There is a tendency to increase the use of demand response technology in the Russian Federation along with other developing countries, covering not only large industries, but also individual households and organizations. Reducing peak loads of electricity consumption and increasing energy efficient use of equipment in the power system is achieved by applying demand management technology based on modeling and predicting consumer behavior in an educational institution. The study proposes to consider the possibility of participating in the concept of demand management of educational institutions with a typical workload schedule of the work week. For the study, statistical data of open services and sources, Russian and foreign research on the use of digital and information technologies, analytical methods, methods of mathematical modeling, methods of analysis, and generalization of data and statistical methods of data processing are used. An algorithm for collecting and processing power consumption data and a load planning algorithm were developed, including all levels of interaction between devices. A comparison was made between the values of the maximum daily consumption before and after optimization, as well as the magnitude of the decrease in the maximum consumption after applying the genetic algorithm. The developed algorithm has the ability to scale, which will increase the effect of using the results of this study to more significant values. Load switching helps to reduce peak consumption charges, which often represent a significant portion of the electricity cost.

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Section: Pilot Project On Demand Response In Russiamentioning

confidence: 99%

Development of an Algorithm for Regulating the Load Schedule of Educational Institutions Based on the Forecast of Electric Consumption within the Framework of Application of the Demand Response

et al. 2021

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“…Harmonic currents flow through power lines and transformers, causing a non-sinusoidal voltage drop, thereby degrading the power quality [7]. It is necessary to calculate the operating modes of the consumers and grids with degraded power quality indicators in order to determine the parameters of harmonic reduction devices [8], to predict power quality indicators depending on load parameters [9], determine negative impact of distortions on electrical equipment [10], determine power losses [11], etc. The correctness of such operating modes modeling in many respects is determined by the accepted model of nonlinear load [12,13].…”

Section: Introductionmentioning

confidence: 99%

Computation of Nonlinear Load Harmonic Currents in the Presence of External Distortions

et al. 2022

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This paper deals with the issues of computation of the nonlinear load harmonic currents in the presence of external distortions based on the real measurements with help of passive harmonic. Such values are necessary when modeling an equivalent nonlinear load as current sources in the presence of external distortions. The passive filter allows to separate external and internal distortions, which is necessary when determining the harmonic currents of a single consumer. The influence of various parameters on the computation of harmonic currents of a nonlinear load, such as the parameters of a passive harmonic filter, the impedance of the power supply transformer, the load parameters of the consumer, taking into account the harmonic generation from the grid side, and from the consumer side, is considered. It is shown that an external source of distortion has practically no effect on the error in estimating the harmonic current magnitudes of a nonlinear load. The obtained simulation results were confirmed experimentally on a laboratory test bench. Recommendations for the selection of passive harmonic filter parameters have been developed to minimize the error in determining the harmonic current magnitudes of a nonlinear load.

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“…− To determine the influence of the passive filter configuration at the output of the active part on the performance of the hybrid filter in centralized, distributed, and hybrid power supply systems [19]. − To find the optimum configuration of the hybrid filter for centralized, distributed, and hybrid power supply systems [20].…”

Section: Introductionmentioning

confidence: 99%

Developing a hybrid filter structure and a control algorithm for hybrid power supply

Sychev

Aladin

Serikov

2022

IJPEDS

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The paper presents the results of a study on hybrid filter operation and performance under hybrid power supply. In the study, a hybrid filter structure was developed and proved to perform a set of power quality improving functions. The paper demonstrates that it is necessary for the hybrid filter structure to be variable in order to adapt to changes in power supply. A case is made for using an additional passive filter at the active part output of the hybrid filter under distributed generation. The optimal structure and parameters of such an additional passive filter are identified and proved. Based on the experimental research results, the mathematical and computer simulation models of the proposed hybrid filter for hybrid power supply were developed. The modeling and simulation results showed the efficiency level to be satisfactory and power quality to improve due to applying the proposed hybrid filter. Using the modeling and simulation results, an adaptive algorithm to control the operation factors of the proposed hybrid filter under hybrid power supply was developed, tested, and evaluated. Practical recommendations for industrial application of the proposed hybrid filter are given.

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Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption

Cited by 26 publications

References 49 publications

Development of an Algorithm for Regulating the Load Schedule of Educational Institutions Based on the Forecast of Electric Consumption within the Framework of Application of the Demand Response

Development of an Algorithm for Regulating the Load Schedule of Educational Institutions Based on the Forecast of Electric Consumption within the Framework of Application of the Demand Response

Computation of Nonlinear Load Harmonic Currents in the Presence of External Distortions

Developing a hybrid filter structure and a control algorithm for hybrid power supply

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