Collaborative demand response in smart electric grid with virtual system operator
The authors present a novel concept of virtual system operator (VSO) and its mechanism. This mechanism aims to determine load consumption pattern on day-ahead basis which suits all the involved entities individually in real-time pricing environment. The demand profile is scheduled by every consumer...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-10-01
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| Series: | IET Smart Grid |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0023 |
| _version_ | 1818321154144731136 |
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| author | Chandrasekhar Yammani Pankaj Prabhat |
| author_facet | Chandrasekhar Yammani Pankaj Prabhat |
| author_sort | Chandrasekhar Yammani |
| collection | DOAJ |
| description | The authors present a novel concept of virtual system operator (VSO) and its mechanism. This mechanism aims to determine load consumption pattern on day-ahead basis which suits all the involved entities individually in real-time pricing environment. The demand profile is scheduled by every consumer by performing demand response (DR) without having to coordinate with other consumers in the system. In the process flow, the VSO which remains in communication with the system operator and the consumer relays information regarding day-ahead electricity tariff to consumers. Based on which the consumers simultaneously perform DR to optimise their electricity bill and forward the schedule to the VSO. This process repeats iteratively until a balanced price profile as well as load schedule is established in the system. Such schedules are capable of reducing dynamics in the electricity market. The proposed concept is demonstrated through three different types of consumers. These consumers realise DR through different objective functions and up to different extents. Ultimately, the load schedules are obtained for all individual users and corresponding price profile which suits every entity of the system. |
| first_indexed | 2024-12-13T10:36:23Z |
| format | Article |
| id | doaj.art-bb88585abc9c4fc2a806164e68b4e517 |
| institution | Directory Open Access Journal |
| issn | 2515-2947 |
| language | English |
| last_indexed | 2024-12-13T10:36:23Z |
| publishDate | 2018-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj.art-bb88585abc9c4fc2a806164e68b4e5172022-12-21T23:50:43ZengWileyIET Smart Grid2515-29472018-10-0110.1049/iet-stg.2018.0023IET-STG.2018.0023Collaborative demand response in smart electric grid with virtual system operatorChandrasekhar Yammani0Pankaj Prabhat1National Institute of TechnologyNational Institute of TechnologyThe authors present a novel concept of virtual system operator (VSO) and its mechanism. This mechanism aims to determine load consumption pattern on day-ahead basis which suits all the involved entities individually in real-time pricing environment. The demand profile is scheduled by every consumer by performing demand response (DR) without having to coordinate with other consumers in the system. In the process flow, the VSO which remains in communication with the system operator and the consumer relays information regarding day-ahead electricity tariff to consumers. Based on which the consumers simultaneously perform DR to optimise their electricity bill and forward the schedule to the VSO. This process repeats iteratively until a balanced price profile as well as load schedule is established in the system. Such schedules are capable of reducing dynamics in the electricity market. The proposed concept is demonstrated through three different types of consumers. These consumers realise DR through different objective functions and up to different extents. Ultimately, the load schedules are obtained for all individual users and corresponding price profile which suits every entity of the system.https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0023power marketstariffsdemand side managementpricingsmart power gridspower engineering computingpower generation schedulingsmart electric gridvirtual system operatorload consumption patternday-ahead electricity tariffelectricity billload scheduleelectricity marketdemand response |
| spellingShingle | Chandrasekhar Yammani Pankaj Prabhat Collaborative demand response in smart electric grid with virtual system operator IET Smart Grid power markets tariffs demand side management pricing smart power grids power engineering computing power generation scheduling smart electric grid virtual system operator load consumption pattern day-ahead electricity tariff electricity bill load schedule electricity market demand response |
| title | Collaborative demand response in smart electric grid with virtual system operator |
| title_full | Collaborative demand response in smart electric grid with virtual system operator |
| title_fullStr | Collaborative demand response in smart electric grid with virtual system operator |
| title_full_unstemmed | Collaborative demand response in smart electric grid with virtual system operator |
| title_short | Collaborative demand response in smart electric grid with virtual system operator |
| title_sort | collaborative demand response in smart electric grid with virtual system operator |
| topic | power markets tariffs demand side management pricing smart power grids power engineering computing power generation scheduling smart electric grid virtual system operator load consumption pattern day-ahead electricity tariff electricity bill load schedule electricity market demand response |
| url | https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0023 |
| work_keys_str_mv | AT chandrasekharyammani collaborativedemandresponseinsmartelectricgridwithvirtualsystemoperator AT pankajprabhat collaborativedemandresponseinsmartelectricgridwithvirtualsystemoperator |