Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model

In recent years, demand-side management (DSM) strategies have become an indispensable tool in the operation and planning of modern electricity grids (EGs). One effective way of ensuring the economical and reliable operation of an EG is through assessing its load factor (LF), while considering differ...

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Autores principales:	Fernando V. Cerna, Mahdi Pourakbari-Kasmaei, Ehsan Naderi, Matti Lehtonen, Javier Contreras
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Demand-side management electricity grid electrical equipment load factor MIQCP model Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
Acceso en línea:	https://doaj.org/article/ce2c92588f2e41eb875b5594316a4ef9
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id	oai:doaj.org-article:ce2c92588f2e41eb875b5594316a4ef9
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spelling	oai:doaj.org-article:ce2c92588f2e41eb875b5594316a4ef92021-11-10T00:09:22ZLoad Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model2687-791010.1109/OAJPE.2021.3096811https://doaj.org/article/ce2c92588f2e41eb875b5594316a4ef92021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9481936/https://doaj.org/toc/2687-7910In recent years, demand-side management (DSM) strategies have become an indispensable tool in the operation and planning of modern electricity grids (EGs). One effective way of ensuring the economical and reliable operation of an EG is through assessing its load factor (LF), while considering different types of electrical equipment (e.g., residential, commercial, and industrial). Toward this end, this paper proposes a mixed-integer quadratically constrained programming (MIQCP) model to deal with the LF assessment problems in a modified power distribution system through optimal scheduling of electrical equipment. This MIQCP model aims to minimize the total costs of purchasing energy by the electric utility via an iterative process, in which the difference between the energy consumption in each period and the average consumption is reduced. In the proposed model, the uncertainties in the consumption habits of different consumers, information related to each electrical equipment, energy prices, and the grid’s technical constraints are considered. A modified 34-node EG, differentiated by consumer type, is implemented to evaluate the proposed model. Results show that the LF value is related to the optimal scheme of the electrical equipment that meets the operational and economic requirements of the power grid.Fernando V. CernaMahdi Pourakbari-KasmaeiEhsan NaderiMatti LehtonenJavier ContrerasIEEEarticleDemand-side managementelectricity gridelectrical equipmentload factorMIQCP modelDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENIEEE Open Access Journal of Power and Energy, Vol 8, Pp 433-447 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Demand-side management electricity grid electrical equipment load factor MIQCP model Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
spellingShingle	Demand-side management electricity grid electrical equipment load factor MIQCP model Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Fernando V. Cerna Mahdi Pourakbari-Kasmaei Ehsan Naderi Matti Lehtonen Javier Contreras Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model
description	In recent years, demand-side management (DSM) strategies have become an indispensable tool in the operation and planning of modern electricity grids (EGs). One effective way of ensuring the economical and reliable operation of an EG is through assessing its load factor (LF), while considering different types of electrical equipment (e.g., residential, commercial, and industrial). Toward this end, this paper proposes a mixed-integer quadratically constrained programming (MIQCP) model to deal with the LF assessment problems in a modified power distribution system through optimal scheduling of electrical equipment. This MIQCP model aims to minimize the total costs of purchasing energy by the electric utility via an iterative process, in which the difference between the energy consumption in each period and the average consumption is reduced. In the proposed model, the uncertainties in the consumption habits of different consumers, information related to each electrical equipment, energy prices, and the grid’s technical constraints are considered. A modified 34-node EG, differentiated by consumer type, is implemented to evaluate the proposed model. Results show that the LF value is related to the optimal scheme of the electrical equipment that meets the operational and economic requirements of the power grid.
format	article
author	Fernando V. Cerna Mahdi Pourakbari-Kasmaei Ehsan Naderi Matti Lehtonen Javier Contreras
author_facet	Fernando V. Cerna Mahdi Pourakbari-Kasmaei Ehsan Naderi Matti Lehtonen Javier Contreras
author_sort	Fernando V. Cerna
title	Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model
title_short	Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model
title_full	Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model
title_fullStr	Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model
title_full_unstemmed	Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model
title_sort	load factor assessment of the electric grid by the optimal scheduling of electrical equipment- a miqcp model
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/ce2c92588f2e41eb875b5594316a4ef9
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Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model

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