Application of Predictive Control in Scheduling of Domestic Appliances
In this work, an algorithm for the scheduling of household appliances to reduce the energy cost and the peak-power consumption is proposed. The system architecture of a home energy management system (HEMS) is presented to operate the appliances. The dynamics of thermal and non-thermal appliances is...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/5/1627 |
| _version_ | 1818292914768314368 |
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| author | Himanshu Nagpal Andrea Staino Biswajit Basu |
| author_facet | Himanshu Nagpal Andrea Staino Biswajit Basu |
| author_sort | Himanshu Nagpal |
| collection | DOAJ |
| description | In this work, an algorithm for the scheduling of household appliances to reduce the energy cost and the peak-power consumption is proposed. The system architecture of a home energy management system (HEMS) is presented to operate the appliances. The dynamics of thermal and non-thermal appliances is represented into state-space model to formulate the scheduling task into a mixed-integer-linear-programming (MILP) optimization problem. Model predictive control (MPC) strategy is used to operate the appliances in real-time. The HEMS schedules the appliances in dynamic manner without any a priori knowledge of the load-consumption pattern. At the same time, the HEMS responds to the real-time electricity market and the external environmental conditions (solar radiation, ambient temperature, etc.). Simulation results exhibit the benefits of the proposed HEMS by showing the reduction of up to 70% in electricity cost and up to 57% in peak power consumption. |
| first_indexed | 2024-12-13T03:07:32Z |
| format | Article |
| id | doaj.art-0b012a33127c474d9e71603c09fac7a1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T03:07:32Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-0b012a33127c474d9e71603c09fac7a12022-12-22T00:01:40ZengMDPI AGApplied Sciences2076-34172020-02-01105162710.3390/app10051627app10051627Application of Predictive Control in Scheduling of Domestic AppliancesHimanshu Nagpal0Andrea Staino1Biswajit Basu2Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, Dublin D02 PN40, IrelandDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, Dublin D02 PN40, IrelandDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, Dublin D02 PN40, IrelandIn this work, an algorithm for the scheduling of household appliances to reduce the energy cost and the peak-power consumption is proposed. The system architecture of a home energy management system (HEMS) is presented to operate the appliances. The dynamics of thermal and non-thermal appliances is represented into state-space model to formulate the scheduling task into a mixed-integer-linear-programming (MILP) optimization problem. Model predictive control (MPC) strategy is used to operate the appliances in real-time. The HEMS schedules the appliances in dynamic manner without any a priori knowledge of the load-consumption pattern. At the same time, the HEMS responds to the real-time electricity market and the external environmental conditions (solar radiation, ambient temperature, etc.). Simulation results exhibit the benefits of the proposed HEMS by showing the reduction of up to 70% in electricity cost and up to 57% in peak power consumption.https://www.mdpi.com/2076-3417/10/5/1627model predictive controlmixed integer programmingsmart appliance schedulingdemand-side-management |
| spellingShingle | Himanshu Nagpal Andrea Staino Biswajit Basu Application of Predictive Control in Scheduling of Domestic Appliances Applied Sciences model predictive control mixed integer programming smart appliance scheduling demand-side-management |
| title | Application of Predictive Control in Scheduling of Domestic Appliances |
| title_full | Application of Predictive Control in Scheduling of Domestic Appliances |
| title_fullStr | Application of Predictive Control in Scheduling of Domestic Appliances |
| title_full_unstemmed | Application of Predictive Control in Scheduling of Domestic Appliances |
| title_short | Application of Predictive Control in Scheduling of Domestic Appliances |
| title_sort | application of predictive control in scheduling of domestic appliances |
| topic | model predictive control mixed integer programming smart appliance scheduling demand-side-management |
| url | https://www.mdpi.com/2076-3417/10/5/1627 |
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