Modeling the process of redistributing power consumption using energy storage system with various configurations to align the electrical loads schedule

Bardanov, Aleksey I.; Vasilkov, Oleg S.; Pudkova, T V

doi:10.1088/1742-6596/1753/1/012013

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…In the context of the unstable geopolitical situation, it is necessary to develop our own production. This will reduce the dependence of countries on foreign developments [51]. At the same time, the leading developers of innovative foreign equipment, as a rule, do not sell the most competitive of the fresh technologies of their own production to other countries, thereby artificially strengthening the reliance on supplies of foreign equipment and the technological lag of local companies in different countries.…”

mentioning

confidence: 99%

Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios

et al. 2021

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In the next 20 years, the fossil energy must become a guarantor of the sustainable development of the energy sector for future generations. Significant threats represent hurdles in this transition. This study identified current global trends in the energy sector and the prospects for the development of energy until 2035. The importance of risk assessment in scenario forecasting based on expert judgments was proven. Three contrasting scenarios, #StayHome, #StayAlone, and #StayEffective, for the development of fossil energy, all based on comprehensive analysis of global risks by expert survey and factor analysis, were developed. It was concluded that fossil energy is mandatory with integration of advanced technologies at every stage of the production of traditional energy and of renewable energy as an integral part of the modern energy sector. Based on the results of the study, nine ambitious programs for the development of sustainable energy are presented. They require the creation and the utilization of a single interactive digital platform adapted to this purpose. It is a passport mandatory for the flexible interaction of energy production, its transmission, and its consumption in the perspective of having a future sustainable, reliable, and secured energy sector.

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confidence: 99%

Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios

et al. 2021

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“…The cell operative charge (also called the capacity of the cell), expressed in amperehour (Ah), represents the total energy that a single cell can store. It is noted Q in this paper and is explained by Equation (2). A brand new (just produced) cell has the highest capacity.…”

Section: Aging Processmentioning

confidence: 94%

“…By nature, electrical energy is not easy to store and nowadays there are several approaches to resolving this problem. Electrical energy can either be stored temporarily in an electrostatic form using supercapacitors [1][2][3], or be transformed into other types of energy, into mechanical form, with kinetic energy in the flywheels [4], or potential energy in water storages [5] or compressed air [6]. Sometimes, energy is naturally stored in the form of radiant energy in matter.…”

Section: Introductionmentioning

confidence: 99%

Accessible Battery Model with Aging Dependency

Savard¹,

Iakovleva

Ivanchenko

et al. 2021

Energies

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Designed to store and discharge electrical energy, rechargeable batteries consist of elementary storage cell assemblies. Aging is affected by various aggravating factors, mainly temperature. There are many electric or electrochemical models which describe their operation. Most standard models do not consider the aging phenomena of batteries and their consequences, while batteries deteriorate when used or stored. Precisely, most battery models do not simulate the influence of cell aging on other cells. The model presented in this paper incorporates aging and the effects of mutual interactions between cells. The model can be established based on four measurement points on the cell characteristic curve and allows the simulation of a single cell’s or multiple coupled cells’ behavior. The model can then be easily implemented in simulation software like Matlab.

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“…In addition to the load graph, the digital profile of the behavioral simulation model must be supplemented with calculated parameters that can be used for strategic demand response. To supplement the information model, it is proposed to use such parameters as the active power utilization factor, the shape factor of the active load graph, the maximum coefficient, the schedule fill factor, and the number of hours of use of the active load graph per day [62]. The averaging interval is 15 min.…”

Section: Load Scheduling Algorithmmentioning

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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Modeling the process of redistributing power consumption using energy storage system with various configurations to align the electrical loads schedule

Cited by 10 publications

References 6 publications

Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios

Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios

Accessible Battery Model with Aging Dependency

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

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