Joint Energy and Reserve Scheduling of a Wind Power Producer in a Peer-to-Peer Mechanism
Rashidizadeh-Kermani, Homa; Vahedipour-Dahraie, Mostafa; Shafie-khah, Miadreza; Catalão, João P. S. (2020-10-13)
Rashidizadeh-Kermani, Homa
Vahedipour-Dahraie, Mostafa
Shafie-khah, Miadreza
Catalão, João P. S.
Institute of Electrical and Electronics Engineers
13.10.2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020120198830
https://urn.fi/URN:NBN:fi-fe2020120198830
Kuvaus
vertaisarvioitu
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Tiivistelmä
This paper proposes a risk constrained decision making problem for wind power producers (WPPs) in a competitive environment. In this problem, the WPP copts to maximize its likely profit whereas aggregators want to minimize their payments. So, this bi-level problem is converted to a single level one. Then, the WPP offers proper prices to the aggregators to attract them to supply their demand. Also, these aggregators can procure reserve for the WPP to compensate its uncertainties. Therefore, through a peer-to- peer (P2P) trading mechanism, the WPP requests the aggregators to allocate reserve to cover the uncertainties of the wind generation. Also, due to the presence of uncertain resources of the problem, a risk measurement tool is applied to the problem to control the uncertainties. The effectiveness of the model is assessed on realistic data from the Nordpool market and the results show that as the loads become responsive, more loads are allowed to choose their WPP to supply their load. Also, the reserve that is provided by these responsive loads to the WPP increases.
Kokoelmat
- Artikkelit [3030]