376 citations · 1k across the 11 of their papers we have counts for
12 papers
A Market-Clearing-based Sensitivity Model for Locational Marginal and Average Carbon Emission
Zelong Lu
This letter proposes a market-clearing-based locational marginal carbon emission (LMCE) metric to assess the marginal carbon emission effect of nodal load demand. Unlike the preval…
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
Yang Li, Wenjie Ma, Yuanzheng Li +3
Optimally scheduling multi-energy flow is an effective method to utilize renewable energy sources (RES) and improve the stability and economy of integrated energy systems (IES). Ho…
Risk-aware Flexible Resource Utilization in an Unbalanced Three-Phase Distribution Network using SDP-based Distributionally Robust Optimal Power Flow
Zelong Lu, Jianxue Wang, Mohammad Shahidehpour +4
The variability caused by the proliferation of distributed energy resources (DERs) and the significant growth in unbalanced three-phase loads pose unprecedented challenges to distr…
Stochastic Optimization of Coupled Power Distribution-Urban Transportation Network Operations with Autonomous Mobility on Demand Systems
Han Wang, Xiaoyuan Xu, Yue Chen +4
Autonomous mobility on demand systems (AMoDS) will significantly affect the operation of coupled power distribution-urban transportation networks (PTNs) by the optimal dispatch of…
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response
Yang Li, Meng Han, Mohammad Shahidehpour +2
A community integrated energy system (CIES) is an important carrier of the energy internet and smart city in geographical and functional terms. Its emergence provides a new solutio…
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach
Yang Li, Xinhao Wei, Yuanzheng Li +2
As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one…
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…
Convex Relaxation of Combined Heat and Power Dispatch
Yibao Jiang, Can Wan, Audun Botterud +2
Combined heat and power dispatch promotes interactions and synergies between electric power systems and district heating systems. However, nonlinear and nonconvex heating flow impo…
Reconfiguration of District Heating Network for Operational Flexibility Enhancement in Power System Unit Commitment
Yixun Xue, Mohammad Shahidehpour, Zhaoguang Pan +4
Massive adoptions of combined heat and power (CHP) units necessitate the coordinated operation of power system and district heating system (DHS). Exploiting the reconfigurable prop…
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…
Market-based vs. Price-based Microgrid Optimal Scheduling
Sina Parhizi, Amin Khodaei, Mohammad Shahidehpour
An optimal scheduling model for a microgrid participating in the electricity distribution market in interaction with a Distribution Market Operator (DMO) is proposed in this paper.…
Uncertainty Marginal Price, Transmission Reserve, and Day-ahead Market Clearing with Robust Unit Commitment
Hongxing Ye, Yinyin Ge, Mohammad Shahidehpour +1
The increasing penetration of renewable energy in recent years has led to more uncertainties in power systems. These uncertainties have to be accommodated by flexible re- sources (…