activity
20192024
most citedA Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning

42 citations · 91 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SY2024

Two-Stage Robust Planning Model for Park-Level Integrated Energy System Considering Uncertain Equipment Contingency

Zuxun Xiong, Xinwei Shen, Hongbin Sun

To enhance the reliability of Integrated Energy Systems (IESs) and address the research gap in reliability-based planning methods, this paper proposes a two-stage robust planning m…

eess.SY2023★ 20 cited

A Robust Planning Model for Offshore Microgrid Considering Tidal Power and Desalination

Zhimeng Wang, Ang Xuan, Xinwei Shen +2

Increasing attention has been paid to resources on islands, thus microgrids on islands need to be invested. Different from onshore microgrids, offshore microgrids (OM) are usually…

eess.SY2023★ 1 cited

A Smart Switch Configuration and Reliability Assessment Method for Large-Scale Offshore Wind Farm Electrical Collector System

Xiaochi Ding, Xinwei Shen, Qiuwei Wu +2

With the development of offshore wind farms (OWFs) in far-offshore and deep-sea areas, each OWF could contain more and more wind turbines and cables, making it imperative to study…

eess.SY2023★ 1 cited

Optimal Planning for Electrical Collector System of Offshore Wind Farm with Double-sided Ring Topology

Xinwei Shen, Qiuwei Wu, Hongcai Zhang +1

We propose a planning method for offshore wind farm electrical collector system (OWF-ECS) with double-sided ring topology meeting the "N-1" criterion on cable faults, in which the…

eess.SY2022

A Stochastic Planning Method for Low-carbon Building-level Integrated Energy System Considering Electric-Heat-V2G Coupling

Zuxun Xiong, Xinwei Shen, Qinglai Guo +1

The concept of low-carbon building is proposed to ameliorate the climate change caused by environmental problems and realize carbon neutrality at the building level in urban areas.…

cs.LG2022★ 10 cited

A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction

Haizhou Liu, Xuan Zhang, Xinwei Shen +1

In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transforme…

eess.SY2021

Accuracy and Application Scope Analysis for Linearized Branch Flow Model in Radial Distribution Systems

Hanyang Lin, Xinwei Shen, Qinglai Guo +1

An in-depth analysis of linearized branch flow (LBF) model considering current injection and absolute value of impedance is proposed in this paper. The form of LBF model is based o…

eess.SY2021

Large-scale Offshore Wind Farm Electrical Collector System Planning: A Mixed-Integer Linear Programming Approach

Xinwei Shen, Sunwei Li, Hongke Li

In this paper, we propose a planning method for large-scale offshore wind farm (OWF) electrical collector system (ECS) based on mixed integer linear programming, in which the sizin…

eess.SY2021★ 3 cited

Two-stage Planning for Electricity-Gas Coupled Integrated Energy System with CCUS Considering Carbon Tax and Price Uncertainty

Ang Xuan, Xinwei Shen, Qinglai Guo +1

In this article, we propose two-stage planning models for Electricity-Gas Coupled Integrated Energy System (EGC-IES), in which traditional thermal power plants (TTPPs) are consider…

eess.SY2021★ 11 cited

A Conditional Value-at-Risk Based Planning Model for Integrated Energy System with Energy Storage and Renewables

Ang Xuan, Xinwei Shen, Qinglai Guo +1

Owing to the potential higher energy supply efficiency and operation flexibility, integrated energy system (IES), which usually includes electric power, gas and heating/cooling sys…

cs.LG2021★ 42 cited

A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning

Haizhou Liu, Xuan Zhang, Xinwei Shen +1

With the deployment of smart sensors and advancements in communication technologies, big data analytics have become vastly popular in the smart grid domain, informing stakeholders…

math.OC2020★ 1 cited

A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow

Haizhou Liu, Lun Yang, Xinwei Shen +3

In this letter, we propose a data-driven warm start approach, empowered by artificial neural networks, to boost the efficiency of convex relaxations in optimal gas flow. Case studi…

eess.SY2020

Stochastic Unit Commitment in Electricity-Gas Coupled Integrated Energy Systems based on Modified Progressive Hedging

Haizhou Liu, Xinwei Shen, Qinglai Guo +3

The increasing number of gas-fired units has significantly intensified the coupling between power and gas networks. Traditionally, the nonlinearity and nonconvexity in gas flow equ…

eess.SY2020★ 2 cited

Increasing the Flexibility of Combined Heat and Power Systems through Optimal Dispatch with Variable Mass Flow

Xin Qin, Ye Guo, Xinwei Shen +1

In combined heat and power systems, varying mass flow can better make use of the heating system inertia to increase the flexibility of electric power systems. This is challenging,…

eess.SY2019

Distributed Optimal Frequency Control for Integrated Energy Systems with Electricity and Heat

Xin Qin, Xuan Zhang, Xinwei Shen +3

With more and more distributed energy resources (DERs) deployed in Integrated Energy Systems (IESs), frequency stability challenges the pursuit of reliability and efficiency. This…