The paper considers issues related to the analysis and adjustment of electrical load schedules. The main characteristics of the load graphs are represented in this paper. The research deals with issues of possibility of aligning load graphs by using energy storage devices. The configuration of the storage system has been identified, which allows expanding its functionality. A logical-numerical model of a hybrid energy storage system has been developed. As a result of the simulation, dependencies are obtained that confirm the efficiency of using power storage devices to align the load schedules.
At enterprises, electricity metering devices are used everywhere, which incorporate various formulas for calculating power. The division of power into active, reactive and full is valid only in the case of sinusoidal currents and voltages. In the case of non-sinusoidal waveforms of current and voltage, which are most often found in industrial networks of enterprises, it is necessary to use additional concepts and correct formulas for calculating powers in order to avoid errors. The article compares the methods of calculating the power in the non-sinusoidal mode, which can be used to more correctly record electricity in industrial networks of enterprises.
The existing approach to electricity metering, which underlies the formation of payment for consumed electricity, has a significant drawback. It can be correctly used in systems with a sinusoidal symmetrical mode, but needs to be improved in other network modes. The article defines indicators that numerically reflect the effect of distortions on the modes of distribution electric networks, as well as indicators that take into account consumed inactive power (by analogy with reactive power in a sinusoidal mode) when paying electricity bills to an electricity supplier. The proposed principles of electricity consumption metering includes the influence of such indicators as the spectral composition of voltage and current, the ratio of linear and nonlinear loads of consumers, as well as the influence of the topology of the electric network.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.