Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties
Abstract This study investigates a hierarchical approach for modeling the mutual impacts of distribution network (DN) decisions and microgrids in a multi‐microgrid system under the cover of a two‐level problem. Due to the conflicting interests of decision‐makers in an active DN, the optimization pro...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-10-01
|
| Series: | Engineering Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/eng2.12732 |
| _version_ | 1797653948004302848 |
|---|---|
| author | Alireza Rahnama Abdolmajid Dejamkhooy Hossein Shayeghi |
| author_facet | Alireza Rahnama Abdolmajid Dejamkhooy Hossein Shayeghi |
| author_sort | Alireza Rahnama |
| collection | DOAJ |
| description | Abstract This study investigates a hierarchical approach for modeling the mutual impacts of distribution network (DN) decisions and microgrids in a multi‐microgrid system under the cover of a two‐level problem. Due to the conflicting interests of decision‐makers in an active DN, the optimization problem has a hierarchical structure, with distribution companies (Discos) at the top attempting to maximize profits and microgrids at the bottom attempting to reduce costs. This study examines the relationship between the unpredictability of renewable energy sources and power demand. In this mechanism, the influence of the demand response program (DRP) is also considered an important aspect of intelligent systems. The two‐level nonlinear optimization problem has been transformed to a one‐level linear problem using dual theory and KKT conditions. According to the findings of the studies, even though cost reduction is the sole objective of scheduling in centralized mode, applying DRP to the system results in a 16% reduction in overall costs for the two‐level scheduling method, and a 22% reduction in daily costs when compared to two‐level scheduling without DRP. |
| first_indexed | 2024-03-11T16:52:15Z |
| format | Article |
| id | doaj.art-3c1e3523b7ff418a890941f1b2d0288d |
| institution | Directory Open Access Journal |
| issn | 2577-8196 |
| language | English |
| last_indexed | 2024-03-11T16:52:15Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Engineering Reports |
| spelling | doaj.art-3c1e3523b7ff418a890941f1b2d0288d2023-10-21T04:03:28ZengWileyEngineering Reports2577-81962023-10-01510n/an/a10.1002/eng2.12732Two‐level scheduling of an active power distribution network by considering demand response program and uncertaintiesAlireza Rahnama0Abdolmajid Dejamkhooy1Hossein Shayeghi2Energy Management Research Center University of Mohaghegh Ardabili Ardabil IranDepartment of Electrical Engineering University of Mohaghegh Ardabili Ardabil IranEnergy Management Research Center University of Mohaghegh Ardabili Ardabil IranAbstract This study investigates a hierarchical approach for modeling the mutual impacts of distribution network (DN) decisions and microgrids in a multi‐microgrid system under the cover of a two‐level problem. Due to the conflicting interests of decision‐makers in an active DN, the optimization problem has a hierarchical structure, with distribution companies (Discos) at the top attempting to maximize profits and microgrids at the bottom attempting to reduce costs. This study examines the relationship between the unpredictability of renewable energy sources and power demand. In this mechanism, the influence of the demand response program (DRP) is also considered an important aspect of intelligent systems. The two‐level nonlinear optimization problem has been transformed to a one‐level linear problem using dual theory and KKT conditions. According to the findings of the studies, even though cost reduction is the sole objective of scheduling in centralized mode, applying DRP to the system results in a 16% reduction in overall costs for the two‐level scheduling method, and a 22% reduction in daily costs when compared to two‐level scheduling without DRP.https://doi.org/10.1002/eng2.12732day‐ahead power marketdemand responseKKT optimality conditionslocal electricity pricerenewable energiesuncertainty |
| spellingShingle | Alireza Rahnama Abdolmajid Dejamkhooy Hossein Shayeghi Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties Engineering Reports day‐ahead power market demand response KKT optimality conditions local electricity price renewable energies uncertainty |
| title | Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties |
| title_full | Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties |
| title_fullStr | Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties |
| title_full_unstemmed | Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties |
| title_short | Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties |
| title_sort | two level scheduling of an active power distribution network by considering demand response program and uncertainties |
| topic | day‐ahead power market demand response KKT optimality conditions local electricity price renewable energies uncertainty |
| url | https://doi.org/10.1002/eng2.12732 |
| work_keys_str_mv | AT alirezarahnama twolevelschedulingofanactivepowerdistributionnetworkbyconsideringdemandresponseprogramanduncertainties AT abdolmajiddejamkhooy twolevelschedulingofanactivepowerdistributionnetworkbyconsideringdemandresponseprogramanduncertainties AT hosseinshayeghi twolevelschedulingofanactivepowerdistributionnetworkbyconsideringdemandresponseprogramanduncertainties |