A binary integer programming model for optimal load scheduling of household appliances with consumer's preferences

Yahia, Zakaria; Kholopane, P.

doi:10.23919/due.2018.8384381

Cited by 13 publications

(6 citation statements)

References 31 publications

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“…t0=(Tmax-Tmin)i/36 (2) where, Tmax and Tmin respectively, the extreme maximum and minimum temperature values for the investigated month of the year, i is the month of the year for the three-year study period, t0is the average annual temperature coefficient.…”

Section: Methodsmentioning

confidence: 99%

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Model and Algorithm of Electricity Consumption Management for Household Consumers in the Republic of Tajikistan

Tavarov¹,

Сидоров²,

Kalegina³

2020

MMEP

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The article is devoted to solving the problem of increasing the energy efficiency of urban electrical networks based on identifying factors affecting power consumption. According to the established patterns, a forecasting model has been developed, on the basis of which seasonal schedules of electricity consumption by household consumers are proposed. To monitor and control the operating parameters of the urban electrical network, taking into account the functionality of smart electricity meters, a control algorithm is proposed based on the proposed seasonal power consumption schedules by household consumers and a schematic implementation using smart electricity meters.

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Section: Methodsmentioning

confidence: 99%

“…The identification of factors affecting the uneven power consumption by household consumers remains at the moment the main problem, the solution of which will allow solving a number of problems such as [1][2][3][4][5][6][7]:…”

Section: Introductionmentioning

confidence: 99%

Model and Algorithm of Electricity Consumption Management for Household Consumers in the Republic of Tajikistan

Tavarov¹,

Сидоров²,

Kalegina³

2020

MMEP

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show abstract

“…The effectiveness of any electrical networks, including city networks, is ensured by maintaining the allowable specific loads, both at maximum hours and throughout the day and month. Exceeding specific loads from the normative leads to a deterioration in the reliability of the power supply system [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. The efficiency of the power supply system depends on the correct forecast of power consumption.…”

Section: Introductionmentioning

confidence: 99%

Enhancing reliability of electricity supply of city electric networks cities of Dushanbe

Сидоров

Tavarov

2021

Bulletin EEI

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The article is devoted to the actual problem of how to improve the reliability of the urban electric network. Based on the statistical analysis of the breakdown of electrical equipment in urban distribution networks in Dushanbe for the periods of 2017-2018 and for the reasons of damage leading to these emergency outages, the factors that affect the distribution of damage leading to emergency outages are identified. Taking into account the identified factors, a power consumption forecasting system is proposed that takes into account the local conditions of the city of Dushanbe. it allows us to suggest a way to control the operating parameters of the electric network, thereby increasing the reliability of the city's electric network in Dushanbe based on the recommendation of power consumption standards. Implementation of the control of the proposed method for improving the reliability of power supply to the urban electric network is proposed on the basis of the functionality of modern smart electricity metering using the control algorithm. To implement the control algorithm, schematic design for receiving and transmitting information from smart power metering to the data collection centre is proposed.

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“…As you know, the dynamics of electricity consumption is affected by an increase in the population, as well as the number of people living in one apartment [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Method for Forecasting Electric Consumption for Household Users in the Conditions of the Republic of Tajikistan

Сидоров¹,

Tavarov²

2020

IJSDP

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In the work, a method is proposed that allows predicting electricity consumption by household consumers in the terrain of the Republic of Tajikistan. To take into account the factor features of the terrain of the cities of the Republic of Tajikistan, a coefficient is proposed that characterizes the terrain conditions depending on the temperatures and the difference in the heights of the cities above the sea level. The adequacy of the proposed method for predicting electricity consumption by household consumers is presented in the form of dependences of annual electricity consumption schedules obtained by calculation and experimental methods.

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A binary integer programming model for optimal load scheduling of household appliances with consumer's preferences

Cited by 13 publications

References 31 publications

Model and Algorithm of Electricity Consumption Management for Household Consumers in the Republic of Tajikistan

Model and Algorithm of Electricity Consumption Management for Household Consumers in the Republic of Tajikistan

Enhancing reliability of electricity supply of city electric networks cities of Dushanbe

Method for Forecasting Electric Consumption for Household Users in the Conditions of the Republic of Tajikistan

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