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Yuning Jiang

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Publications associées (47)

Decentralized coordination between active distribution network and multi-microgrids through a fast decentralized adjustable robust operation framework

Yuning Jiang

Due to the autonomous characteristic and heterogeneity of the individual agents in active distribution network (ADN) with multi-microgrids (MMG), this paper proposes a fully decentralized adjustable robust operation framework achieving the coordinated oper ...

ELSEVIER2023

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Colin Neil Jones, Yingzhao Lian, Yuning Jiang

Nonlinear model predictive control (NMPC) has been widely adopted to manipulate bilinear systems with dynamics that include products of the inputs and the states. These systems are ubiquitous in chemical processes, mechanical systems, and quantum physics, ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Relaxed Recentered Log-Barrier Function based Nonlinear Model Predictive Control

Colin Neil Jones, Yuning Jiang

This paper investigates the use of relaxed recentered logarithmic barrier functions in the context of nonlinear model predictive control. These functions are a variation of the regular log-barrier functions that are introduced in the objective function of ...

IEEE2023

Hypergraph-Based Fast Distributed AC Power Flow Optimization

Colin Neil Jones, Yingzhao Lian, Yuning Jiang, Xinliang Dai

This paper presents a novel distributed approach for solving AC power flow (PF) problems. The optimization problem is reformulated into a distributed form using a communication structure corresponding to a hypergraph, by which complex relationships between ...

IEEE2023

A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability

Colin Neil Jones, Yuning Jiang

IEEE2023

Federated Linear Bandit Learning via Over-the-air Computation

Xin Liu, Ting Wang, Yuning Jiang

In this paper, we investigate federated contextual linear bandit learning within a wireless system that comprises a server and multiple devices. Each device interacts with the environment, selects an action based on the received reward, and sends model upd ...

IEEE2023

Over-the-Air Federated Learning via Second-Order Optimization

Colin Neil Jones, Yuning Jiang

Federated learning (FL) is a promising learning paradigm that can tackle the increasingly prominent isolated data islands problem while keeping users' data locally with privacy and security guarantees. However, FL could result in task-oriented data traffic ...

2022

Parallel MPC for Linear Systems With State and Input Constraints

Yuning Jiang

This letter proposes a parallelizable algorithm for linear-quadratic model predictive control (MPC) problems with state and input constraints. The algorithm itself is based on a parallel MPC scheme that has originally been designed for systems with input c ...

2022

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC

Colin Neil Jones, Yingzhao Lian, Yuning Jiang

Smart home appliances can time-shift and curtail their power demand to assist demand side management or allow operation with limited power, as in an off-grid application. This letter proposes a scheduling process to start appliances with time-varying deter ...

2022

Distributed adjustable robust optimal power-gas flow considering wind power uncertainty

Colin Neil Jones, Yuning Jiang

The rapid uptake of natural gas-fired units in energy systems poses significant challenges in coordinating the electricity and gas systems. Besides, the uncertainty caused by integrated renewable energy such as wind power raises more requirements on the ro ...

2022

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN

Colin Neil Jones, Yuning Jiang, Xinliang Dai

The increasing application of voltage source converter (VSC) based high voltage direct current (VSC-HVDC) technology in power grids has raised the importance of incorporating DC grids and converters into the existing transmission network. This poses signif ...

IEEE Institute of Electrical and Electronics Engineers2022

Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization

Colin Neil Jones, Yuning Jiang

This paper focuses on the distributionally robust dispatch for integrated transmission-distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually require synchronization of all subproblems, which could be hard to scale ...

2022

Robust Resource-Aware Self-Triggered Model Predictive Control

Colin Neil Jones, Yingzhao Lian, Yuning Jiang

The wide adoption of wireless devices in the Internet of Things requires controllers that are able to operate with limited resources, such as battery life. Operating these devices robustly in an uncertain environment, while managing available resources, in ...

2022

Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach

Colin Neil Jones, Emilio Maddalena, Paul Scharnhorst, Yuning Jiang

2022

Data-driven distributionally robust joint chance-constrained energy management for multi-energy microgrid

Colin Neil Jones, Yuning Jiang

Multi-energy microgrid (MEMG) has the potential to improve the energy utilization efficiency. However, the uncertainty caused by distributed renewable energy resources brings an urgent need for multi-energy co -optimization to ensure secure operation. This ...

2022

Coordinating Active Distribution Networks with Multi-Microgrids: An ADMM-based Decentralized Adjustable Robust Operation Model

Yuning Jiang

This paper proposes a decentralized adjustable robust operation model achieving the coordinated operation between an active distribution network (ADN) and microgrids (MGs). Thanks to the autonomous characteristic and heterogeneity of the individual agents ...

IEEE2022

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

Colin Neil Jones, Yuning Jiang

Federated learning (FL), as an emerging edge artificial intelligence paradigm, enables many edge devices to collaboratively train a global model without sharing their private data. To enhance the training efficiency of FL, various algorithms have been prop ...

2022

Asynchronous decentralized adjustable robust operation for multi-area integrated electricity-gas systems considering wind power uncertainty

Colin Neil Jones, Yuning Jiang

Modern energy infrastructure has evolved into an integrated electricity and natural gas systems (IEGS), which often encompasses multiple geographically-diverse energy areas. This paper focuses on the decentralized adjustable robust operation problem for mu ...

2022

Rapid Scalable Distributed Power Flow with Open-Source Implementation

Yuning Jiang, Xinliang Dai

This paper introduces a new method for solving the distributed AC power flow (PF) problem by further exploiting the problem formulation. We propose a new variant of the ALADIN algorithm devised specifically for this type of problem. This new variant is cha ...

ELSEVIER2022

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

Colin Neil Jones, Emilio Maddalena, Paul Scharnhorst, Yuning Jiang

We propose Kernel Predictive Control (KPC), a learning-based predictive control strategy that enjoys deterministic guarantees of safety. Noise-corrupted samples of the unknown system dynamics are used to learn several models through the formalism of non-pa ...

2021

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