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

The unevenness of the electricity consumption schedule at enterprises leads to a peak power increase, which leads to an increase in the cost of electricity supply. Energy storage devices can optimize the energy schedule by compensating the planned schedule deviations, as well as reducing consumption...

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Autores principales:	Nikita Dmitrievich Senchilo, Denis Anatolievich Ustinov
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	power consumption forecasting power storage systems demand response power consumption schedule electricity cost Technology T
Acceso en línea:	https://doaj.org/article/7376bf1a7ce24b2faad942e000ee9be5
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id	oai:doaj.org-article:7376bf1a7ce24b2faad942e000ee9be5
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spelling	oai:doaj.org-article:7376bf1a7ce24b2faad942e000ee9be52021-11-11T15:53:55ZMethod for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption10.3390/en142170981996-1073https://doaj.org/article/7376bf1a7ce24b2faad942e000ee9be52021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7098https://doaj.org/toc/1996-1073The unevenness of the electricity consumption schedule at enterprises leads to a peak power increase, which leads to an increase in the cost of electricity supply. Energy storage devices can optimize the energy schedule by compensating the planned schedule deviations, as well as reducing consumption from the external network when participating in a demand response. However, during the day, there may be several peaks in consumption, which lead to a complete discharge of the battery to one of the peaks; as a result, total peak power consumption does not decrease. To optimize the operation of storage devices, a day-ahead forecast is often used, which allows to determine the total number of peaks. However, the power of the storage system may not be sufficient for optimal peak compensation. In this study, a long-term forecast of power consumption based on the use of exogenous parameters in the decision tree model is used. Based on the forecast, a novel algorithm for determining the optimal storage capacity for a specific consumer is developed, which optimizes the costs of leveling the load schedule.Nikita Dmitrievich SenchiloDenis Anatolievich UstinovMDPI AGarticlepower consumption forecastingpower storage systemsdemand responsepower consumption scheduleelectricity costTechnologyTENEnergies, Vol 14, Iss 7098, p 7098 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	power consumption forecasting power storage systems demand response power consumption schedule electricity cost Technology T
spellingShingle	power consumption forecasting power storage systems demand response power consumption schedule electricity cost Technology T Nikita Dmitrievich Senchilo Denis Anatolievich Ustinov Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption
description	The unevenness of the electricity consumption schedule at enterprises leads to a peak power increase, which leads to an increase in the cost of electricity supply. Energy storage devices can optimize the energy schedule by compensating the planned schedule deviations, as well as reducing consumption from the external network when participating in a demand response. However, during the day, there may be several peaks in consumption, which lead to a complete discharge of the battery to one of the peaks; as a result, total peak power consumption does not decrease. To optimize the operation of storage devices, a day-ahead forecast is often used, which allows to determine the total number of peaks. However, the power of the storage system may not be sufficient for optimal peak compensation. In this study, a long-term forecast of power consumption based on the use of exogenous parameters in the decision tree model is used. Based on the forecast, a novel algorithm for determining the optimal storage capacity for a specific consumer is developed, which optimizes the costs of leveling the load schedule.
format	article
author	Nikita Dmitrievich Senchilo Denis Anatolievich Ustinov
author_facet	Nikita Dmitrievich Senchilo Denis Anatolievich Ustinov
author_sort	Nikita Dmitrievich Senchilo
title	Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption
title_short	Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption
title_full	Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption
title_fullStr	Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption
title_full_unstemmed	Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption
title_sort	method for determining the optimal capacity of energy storage systems with a long-term forecast of power consumption
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7376bf1a7ce24b2faad942e000ee9be5
work_keys_str_mv	AT nikitadmitrievichsenchilo methodfordeterminingtheoptimalcapacityofenergystoragesystemswithalongtermforecastofpowerconsumption AT denisanatolievichustinov methodfordeterminingtheoptimalcapacityofenergystoragesystemswithalongtermforecastofpowerconsumption
_version_	1718432987051196416

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

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