Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach
This paper presents a day-ahead scheduling approach for a multi-carrier residential energy system (MRES) including distributed energy resources (DERs). The main objective of the proposed scheduling approach is the minimization of the total costs of an MRES consisting of both electricity and gas ener...
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doaj-d1597c7baad74fcead3d6ffa44ebd39a2021-06-18T23:00:30ZengIEEEIEEE Access2169-35362021-01-019863698638110.1109/ACCESS.2021.30882209450799Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained ApproachReza Habibifar0Hossein Ranjbar1https://orcid.org/0000-0002-9028-6449Miadreza Shafie-Khah2https://orcid.org/0000-0003-1691-5355Mehdi Ehsan3https://orcid.org/0000-0002-1178-5750Joao P. S. Catalao4https://orcid.org/0000-0002-2105-3051Department of Electrical Engineering, Sharif University of Technology, Tehran, IranDepartment of Electrical Engineering, Sharif University of Technology, Tehran, IranSchool of Technology and Innovations, University of Vaasa, Vaasa, FinlandDepartment of Electrical Engineering, Sharif University of Technology, Tehran, IranFaculty of Engineering of the University of Porto (FEUP) and INESC TEC, Porto, PortugalThis paper presents a day-ahead scheduling approach for a multi-carrier residential energy system (MRES) including distributed energy resources (DERs). The main objective of the proposed scheduling approach is the minimization of the total costs of an MRES consisting of both electricity and gas energy carriers. The proposed model considers both electrical and natural gas distribution networks, DER technologies including renewable energy resources, energy storage systems (ESSs), and combined heat and power. The uncertainties pertinent to the demand and generated power of renewable resources are modeled using the chance-constrained approach. The proposed model is applied on the IEEE 33-bus distribution system and 14-node gas network, and the results demonstrate the efficacy of the proposed approach in the matters of diminishing the total operation costs and enhancing the reliability of the system.https://ieeexplore.ieee.org/document/9450799/Chance-constrained methodcombined heat and powermulti-carrier residential energy systemsthermal loaduncertainty |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Reza Habibifar Hossein Ranjbar Miadreza Shafie-Khah Mehdi Ehsan Joao P. S. Catalao |
spellingShingle |
Reza Habibifar Hossein Ranjbar Miadreza Shafie-Khah Mehdi Ehsan Joao P. S. Catalao Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach IEEE Access Chance-constrained method combined heat and power multi-carrier residential energy systems thermal load uncertainty |
author_facet |
Reza Habibifar Hossein Ranjbar Miadreza Shafie-Khah Mehdi Ehsan Joao P. S. Catalao |
author_sort |
Reza Habibifar |
title |
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach |
title_short |
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach |
title_full |
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach |
title_fullStr |
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach |
title_full_unstemmed |
Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach |
title_sort |
network-constrained optimal scheduling of multi-carrier residential energy systems: a chance-constrained approach |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
This paper presents a day-ahead scheduling approach for a multi-carrier residential energy system (MRES) including distributed energy resources (DERs). The main objective of the proposed scheduling approach is the minimization of the total costs of an MRES consisting of both electricity and gas energy carriers. The proposed model considers both electrical and natural gas distribution networks, DER technologies including renewable energy resources, energy storage systems (ESSs), and combined heat and power. The uncertainties pertinent to the demand and generated power of renewable resources are modeled using the chance-constrained approach. The proposed model is applied on the IEEE 33-bus distribution system and 14-node gas network, and the results demonstrate the efficacy of the proposed approach in the matters of diminishing the total operation costs and enhancing the reliability of the system. |
topic |
Chance-constrained method combined heat and power multi-carrier residential energy systems thermal load uncertainty |
url |
https://ieeexplore.ieee.org/document/9450799/ |
work_keys_str_mv |
AT rezahabibifar networkconstrainedoptimalschedulingofmulticarrierresidentialenergysystemsachanceconstrainedapproach AT hosseinranjbar networkconstrainedoptimalschedulingofmulticarrierresidentialenergysystemsachanceconstrainedapproach AT miadrezashafiekhah networkconstrainedoptimalschedulingofmulticarrierresidentialenergysystemsachanceconstrainedapproach AT mehdiehsan networkconstrainedoptimalschedulingofmulticarrierresidentialenergysystemsachanceconstrainedapproach AT joaopscatalao networkconstrainedoptimalschedulingofmulticarrierresidentialenergysystemsachanceconstrainedapproach |
_version_ |
1721372677996806144 |