Multi-Area Frequency Restoration Reserve Sizing
Pediaditis, Panagiotis; Papamatthaiou, Dimitrios; Papadaskalopoulos, Dimitrios; Prešić, Dušan; Hatziargyriou, Nikos D. (2023-02-06)
Pediaditis, Panagiotis
Papamatthaiou, Dimitrios
Papadaskalopoulos, Dimitrios
Prešić, Dušan
Hatziargyriou, Nikos D.
IEEE
06.02.2023
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024032713271
https://urn.fi/URN:NBN:fi-fe2024032713271
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vertaisarvioitu
©2023 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.
©2023 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
Frequency Restoration Reserves are traditionally sized using deterministic methods. The constant growth in non-dispatchable renewable energy, however, is increasing the importance of probabilistic methods for reserve sizing. In addition, as the geographical scope of reserve sizing expands, overall power imbalance stochasticity is reduced. In this article, we propose a probabilistic method for shared cross-border frequency restoration reserve commitment and sizing, based on the concept of system generation margin and employing mathematical optimization. The aim is to reduce overall reserve volumes and costs. The cross-border interconnection capacities among countries are taken into account, and the shared uncertainty across interconnections is addressed via a novel robust approach. The method is tested on the cross-border system of south-east Europe that includes 9 countries. 5 different operational scenarios are used and a detailed calculation of the uncertainty distributions in each country is employed. Results show that cross-border shared sizing can significantly reduce overall reserve volumes and costs in a secure way.
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