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Моделирование режимов работы судовых потребителей электроэнергии с использованием диаграмм состояний

Моделирование режимов работы судовых потребителей электроэнергии с использованием диаграмм состояний

Abstract

Рассмотрено имитационное моделирование работы потребителей электроэнергии в автономных электроэнергетических установках с целью получения суточных графиков нагрузки установки и режимов работы генераторных агрегатов, которые могут быть использованы для верификации алгоритмов прогнозирования нагрузки и расчета показателей энергоэффективности установки. Предложено использование вероятностных автоматов для моделирования процессов, обуславливающих характеристики режимов работы потребителей электроэнергии, и процессов коммутации потребителей, что позволит учесть корреляционные связи между режимами их работы. Приведено модель электроэнергетической установки, состоящей из сети параллельных взаимозависимых автоматов, блоков нормализации сигналов и управления режимами работы генераторных агрегатов и имеющей возможность коммуникации с системой управления базами данных для хранения полученных в результате моделирования данных. The simulation of operational modes of autonomous power system electrical loads for composition of loads and generators patterns, which can be used for load forecast algorithms verification and energy efficiency of the system estimation, is discussed. The probabilistic automata using for simulation of technological processes in the system and of loads commutations processes was revealed to be able to represent correlation between the loads. The model of the power system, consisting of the interdependent parallel automata network, the signal conditioning block and the generators management block and having the communication links with the database for simulation results processing, is proposed

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Keywords

коммутация нагрузки, автономная электростанция, simulation, имитационное моделирование, autonomous power system, load commutation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green