Network-constrained flexible ramping product provision of prosumer aggregator: a data-driven stochastic bi-level optimization

Frontiers in Energy Research

Energy Research

Zhe Wang¹  Xin Ai¹  Huanyu Hu¹  Kunyu Wang¹  Junjie Hu² 

[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China;null;

关键词: prosumer;    flexible ramping product;    distribution network;    stochastic optimization;    data-driven;   

DOI  :  10.3389/fenrg.2023.1258292

 received in 2023-07-13, accepted in 2023-09-27,  发布年份 2023

来源: Frontiers

【 摘 要 】

Prosumers are expected to provide the flexible ramping product (FRP) in the power system. However, voltage violations and line congestion may arise in the distribution network, when FRP delivered by prosumers. Hence, this paper proposes a data-driven stochastic bi-level optimization model to coordinate the prosumer aggregator to decide FRP-offering while ensuring distribution network security under FRP delivery. In the proposed bi-level model, the upper-level is a min-max problem, representing the minimum expected cost under the worst-case scenario probability distribution for the prosumer aggregator. The lower-level is the operation cost minimization within the distribution network security for distribution network operator. The proposed model is converted into a single-level model using the Karush-Kuhn-Tucker condition and strong duality theory, and applied to the modified IEEE 33-bus network with three prosumers. The results demonstrate the effectiveness of the proposed model.

【 授权许可】

Unknown   
Copyright © 2023 Ai, Hu, Hu, Wang and Wang.