All papers that have not been peer-reviewed will not appear here, including preprints. You can access my all of papers at 🔗Google Scholar.
2026
Bi-ZOL: Bilevel Zeroth-Order Learning with Nonsmooth Responses
Zhisen Jiang, Saverio Bolognani
arXiv:2609.08021 2026 Preprint
This paper studies bilevel optimization with a constrained lower level, where the lower-level model is unavailable and the response mapping is locally Lipschitz but possibly nonsmooth, as in Stackelberg games with black-box followers. Bi-ZOL (Bilevel Zeroth-Order Learning) keeps the exact upper-level partial gradients and uses zeroth-order sampling only to estimate the response Jacobian. It converges to a stationary point with a quantified bias, and experiments on tracking problems show improved performance over standard zeroth-order smoothing.
Incentive-Based Load Curtailment with Limited Information: A Bilevel Zeroth-Order Learning Approach
Zhisen Jiang, Florian Dörfler, Saverio Bolognani
2026 PowerUp Conference, Boulder, CO 2026 Conference
This work formulates a lower-level constrained bilevel optimization to solve load curtailment problem and propose the Bi-ZOL (Bilevel Zeroth-Order Learning) algorithm. Unlike conventional black-box methods, Bi-ZOL exploits the bilevel structure to decompose the hypergradient, integrating the exact analytical information of the leader's objective with a zeroth-order estimate of the unknown response sensitivity.
2025
Voltage Support Procurement in Transmission Grids: Incentive Design via Online Bilevel Games
Zhisen Jiang, Saverio Bolognani, Giuseppe Belgioioso
64th IEEE Conference on Decision and Control (CDC) 2025 Conference
This paper presents a novel approach for voltage support procurement in transmission grids using online bilevel games. The proposed incentive design mechanism addresses the voltage procurement challenges between transmission and distribution networks of Swissgrid.
Dynamic Operating Envelopes Embedded Peer-to-Peer-to-Grid Energy Trading
Zhisen Jiang, Ye Guo, Jianxiao Wang
Applied Energy 2025 Journal
This paper introduces a comprehensive framework for peer-to-peer-to-grid energy trading embedded with Dynamic Operating Envelopes (DOEs). The proposed approach utilizes DOEs to facilitate the grid-friendly P2P trading of prosumers. Moreover, the so-called DOE price is proposed to allow prosumers purchase more network injection limits.
Bargaining-based Approach for Dynamic Operating Envelope Allocation in Distribution Networks
IEEE Transactions on Smart Grid 2025 Journal
This paper presents a novel bargaining-based approach for Dynamic Operating Envelope (DOE) allocation in distribution networks. The proposed method addresses the challenges of fair and efficient DOE allocation in modern power distribution systems.
2024
A Robust Optimization Method for Dynamic Operating Envelope Coordination in Distribution Networks
Zhisen Jiang, Ye Guo, Jianxiao Wang
8th IEEE Conference on Energy Internet and Energy System Integration (EI2) 2024 Conference
This paper introduces a robust optimization method for coordinating Dynamic Operating Envelopes in distribution networks. The proposed approach ensures the Robust Dynamic Operating Envelopes (RDOEs) together with maximization of total utilities via the coordination between prosumers.
Bargaining-based Allocation of Dynamic Operating Envelopes in Distribution Networks
Zhisen Jiang, Ye Guo, Hongbin Sun
2024 IEEE Power & Energy Society General Meeting (PESGM) 2024 Conference
This paper presents a bargaining-based approach for allocating Dynamic Operating Envelopes (DOEs) in distribution networks. The proposed method ensures fair and efficient DOE allocation.