A platform for research: civil engineering, architecture and urbanism
Modeling a Local Electricity Market for Transactive Energy Trading of Multi-Aggregators
The present article aims at modeling a day-ahead local electricity market (DA LEM) for transactive energy trading at the distribution level. In this regard, a wide range of distributed energy resources (DERs) in the form of multiple aggregators (AGs) participates in the DA LEM in order to trade energy with the distribution system operator (DSO), the operator of the market. On the other hand, the DSO, as the owner of the system, has the responsibility to procure the required energy of its customers with respect to the technical constraints of the distribution network. To settle the designed local market, a Stackelberg game-based approach is exploited in this research work. In the raised Stackelberg scheme, the leader of the game, the DSO, seeks to maximize its expected profit, while followers of the game, DER AGs, tend to minimize their operating costs. Ultimately, to evaluate the proposed framework, a typical case study is implemented on a modified IEEE-33 bus test system. ; © Authors. Published by IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ ; fi=vertaisarvioitu|en=peerReviewed|
Modeling a Local Electricity Market for Transactive Energy Trading of Multi-Aggregators
The present article aims at modeling a day-ahead local electricity market (DA LEM) for transactive energy trading at the distribution level. In this regard, a wide range of distributed energy resources (DERs) in the form of multiple aggregators (AGs) participates in the DA LEM in order to trade energy with the distribution system operator (DSO), the operator of the market. On the other hand, the DSO, as the owner of the system, has the responsibility to procure the required energy of its customers with respect to the technical constraints of the distribution network. To settle the designed local market, a Stackelberg game-based approach is exploited in this research work. In the raised Stackelberg scheme, the leader of the game, the DSO, seeks to maximize its expected profit, while followers of the game, DER AGs, tend to minimize their operating costs. Ultimately, to evaluate the proposed framework, a typical case study is implemented on a modified IEEE-33 bus test system. ; © Authors. Published by IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ ; fi=vertaisarvioitu|en=peerReviewed|
Modeling a Local Electricity Market for Transactive Energy Trading of Multi-Aggregators
Haghifam, Sara (author) / Laaksonen, Hannu (author) / Shafie-Khah, Miadreza (author) / fi=Vaasan yliopisto|en=University of Vaasa| / orcid:0000-0001-6431-3733 / orcid:0000-0001-9378-8500 / orcid:0000-0003-1691-5355 / fi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations| / Vebic
2022-06-27
URN:NBN:fi-fe2022080252490
Scopus:85133736405
Article (Journal)
Electronic Resource
English
DDC:
690
Reinforcement learning-driven local transactive energy market for distributed energy resources
DOAJ | 2022
|Coalitional Game Based Transactive Energy Management in Local Energy Communities
BASE | 2020
|Transactive Energy for Charging Infrastructures
Springer Verlag | 2022
|