1 citations · 5 across the 11 of their papers we have counts for
12 papers
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
Cunzhi Zhao, Fan Jiang, Xingpeng Li
Recently, neural networks have been widely applied in the power system area. They can be used for better predicting input information and modeling system performance with increased…
Optimal Power Scheduling for High Renewables-Integrated Energy Systems with Battery Storage
Cunzhi Zhao, Xingpeng Li
In high renewables-integrated power systems, irrespective to their sizes, energy storage is commonly included and utilized to mitigate fluctuations from both the load and renewable…
Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile
Cunzhi Zhao, Xingpeng Li
Batteries can effectively improve the security of energy systems and mitigate climate change by facilitating wind and solar power. The installed capacity of battery energy storage…
Microgrid Optimal Energy Scheduling with Risk Analysis
Ali Siddique, Cunzhi Zhao, Xingpeng Li
Risk analysis is currently not quantified in microgrid resource scheduling optimization. This paper conducts a conditional value at risk (cVaR) analysis on a grid-disconnected resi…
Quality Analysis of Battery Degradation Models with Real Battery Aging Experiment Data
Cunzhi Zhao, Xingpeng Li, Yan Yao
The installation capacity of energy storage system, especially the battery energy storage system (BESS), has increased significantly in recent years, which is mainly applied to mit…
A 100% Renewable Energy System: Enabling Zero CO2 Emission Offshore Platforms
Cunzhi Zhao, Xingpeng Li
The total electricity consumption from offshore oil/gas platforms is around 16 TWh worldwide in 2019. The majority offshore platforms are powered by the diesel generators while the…
An Alternative Method for Solving Security-Constrained Unit Commitment with Neural Network Based Battery Degradation Model
Cunzhi Zhao, Xingpeng Li
Battery energy storage system (BESS) can effectively mitigate the uncertainty of variable renewable generation and provide flexible ancillary services. However, degradation is a ke…
Resilient Operational Planning for Microgrids Against Extreme Events
Cunzhi Zhao, Jesus Silva-Rodriguez, Xingpeng Li
This paper proposes a novel resilience index, a microgrid survivability rate (SR) under extreme events, and then proposes a novel Resilient Operational Planning (ROP) algorithm to…
Microgrid Optimal Energy Scheduling Considering Neural Network based Battery Degradation
Cunzhi Zhao, Xingpeng Li
Battery energy storage system (BESS) can effec-tively mitigate the uncertainty of variable renewable generation. Degradation is unpreventable and hard to model and predict for batt…
Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads
Praveen Dhanasekar, Cunzhi Zhao, Xingpeng Li
The flexible power consumption feature of thermostatically controlled loads (TCLs) such as heating, ventilation, and air-conditioning (HVAC) systems makes them attractive targets f…
A Novel Real-Time Energy Management Strategy for Grid-Supporting Microgrid: Enabling Flexible Trading Power
Cunzhi Zhao, Xingpeng Li
In recent years, there has been significant growth of distributed energy resources (DERs) penetration in the power grid. The stochastic and intermittent features of variable DERs s…
A Novel Real-Time Energy Management Strategy for Gird-Friendly Microgrid: Harnessing Internal Fluctuation Internally
Cunzhi Zhao, Xingpeng Li
Typically, a large portion of microgrid generating capacity is from variable renewable resources that are greatly impacted by the environment and can be intermittent as well as sto…