Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources
The present study sought to address the scheduling of the grid-connected hybrid energy resources under uncertainty of renewable sources, and load in the residential sector. After introducing hybrid resources, scheduling model was implemented through a power management algorithm in an attempt to opti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-01-01
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| Series: | Environmental and Climate Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/rtuect-2020-0036 |
| _version_ | 1819090110707138560 |
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| author | Hashemi Abozar Derakshan Ghasem Alizadeh Pahlavani M. R. Abdi Babak |
| author_facet | Hashemi Abozar Derakshan Ghasem Alizadeh Pahlavani M. R. Abdi Babak |
| author_sort | Hashemi Abozar |
| collection | DOAJ |
| description | The present study sought to address the scheduling of the grid-connected hybrid energy resources under uncertainty of renewable sources, and load in the residential sector. After introducing hybrid resources, scheduling model was implemented through a power management algorithm in an attempt to optimize resource cost, emissions, and energy not supplied (ENS). The stated problem consists of two decision-making layers with different weight coefficients based on the prioritization of each objective function. The proposed algorithm is selected for energy optimal management based on technical constraints of the dispatchable and non-dispatchable resources, uncertainty parameters and day ahead real time pricing (RTP). Furthermore, the impact of demand response programs (DRP) on the given algorithm was investigated using load shedding and load shifting techniques. Finally, the results obtained led to the optimization of the functions in all decision-making layers with different modes of operation. |
| first_indexed | 2024-12-21T22:18:37Z |
| format | Article |
| id | doaj.art-8aa7b5e0cb64491aa608598aff4b645f |
| institution | Directory Open Access Journal |
| issn | 2255-8837 |
| language | English |
| last_indexed | 2024-12-21T22:18:37Z |
| publishDate | 2020-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Environmental and Climate Technologies |
| spelling | doaj.art-8aa7b5e0cb64491aa608598aff4b645f2022-12-21T18:48:23ZengSciendoEnvironmental and Climate Technologies2255-88372020-01-0124158060310.2478/rtuect-2020-0036rtuect-2020-0036Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy ResourcesHashemi Abozar0Derakshan Ghasem1Alizadeh Pahlavani M. R.2Abdi Babak3Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IranDepartment of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IranDepartment of Electrical Engineering, Malek Ashtar University, Tehran, IranDepartment of Electrical Engineering, Damavand Branch, Islamic Azad University, Damavand, IranThe present study sought to address the scheduling of the grid-connected hybrid energy resources under uncertainty of renewable sources, and load in the residential sector. After introducing hybrid resources, scheduling model was implemented through a power management algorithm in an attempt to optimize resource cost, emissions, and energy not supplied (ENS). The stated problem consists of two decision-making layers with different weight coefficients based on the prioritization of each objective function. The proposed algorithm is selected for energy optimal management based on technical constraints of the dispatchable and non-dispatchable resources, uncertainty parameters and day ahead real time pricing (RTP). Furthermore, the impact of demand response programs (DRP) on the given algorithm was investigated using load shedding and load shifting techniques. Finally, the results obtained led to the optimization of the functions in all decision-making layers with different modes of operation.https://doi.org/10.2478/rtuect-2020-0036day ahead real time pricing (rtp)demand response programs (drp)power management algorithmtwo decision-making layers |
| spellingShingle | Hashemi Abozar Derakshan Ghasem Alizadeh Pahlavani M. R. Abdi Babak Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources Environmental and Climate Technologies day ahead real time pricing (rtp) demand response programs (drp) power management algorithm two decision-making layers |
| title | Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources |
| title_full | Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources |
| title_fullStr | Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources |
| title_full_unstemmed | Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources |
| title_short | Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources |
| title_sort | optimal scheduling of residential electricity demand based on the power management of hybrid energy resources |
| topic | day ahead real time pricing (rtp) demand response programs (drp) power management algorithm two decision-making layers |
| url | https://doi.org/10.2478/rtuect-2020-0036 |
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