no code implementations • 9 Feb 2024 • Thuan Pham, Xingpeng Li
Case studies prove the proposed AHGNN and the associated N-1 ROPF are highly effective in reducing computation time while preserving solution quality, highlighting the promising potential of ML, particularly GNN in enhancing power system operations.
no code implementations • 3 Feb 2024 • Hassan Zahid Butt, Xingpeng Li
The optimal sizing and energy scheduling of PV and BESS pose significant importance for minimal investment and operational cost.
no code implementations • 17 Dec 2023 • Jin Lu, Xingpeng Li
This paper introduces an expansion strategy for electric power and hydrogen transmission systems, tailored for future renewable energy-enriched grids.
no code implementations • 13 Oct 2023 • Jonathan Yang, Mingjian Tuo, Jin Lu, Xingpeng Li
Overall, case studies demonstrated the effectiveness of ML models trained with different weather and time input features for ERCOT load forecasting.
no code implementations • 13 Oct 2023 • Jin Lu, Xingpeng Li
As renewable energy is becoming the major resource in future grids, the weather and climate can have higher impact on the grid reliability.
no code implementations • 3 Oct 2023 • Cunzhi Zhao, Xingpeng Li
Each method employs a set of linear constraints to replace the ReLU function, effectively linearizing the optimization problem, which can overcome the computational challenges associated with the nonlinearity of the neural network model.
no code implementations • 2 Oct 2023 • Jesus Silva-Rodriguez, Xingpeng Li
The water-energy nexus encompasses the interdependencies between water and energy resources identifying the existing links between the production and distribution of these resources.
no code implementations • 16 Sep 2023 • Cunzhi Zhao, Xingpeng Li
To address this issue, this paper pre-sents a novel approach, introducing a linearized sparse neural network-based battery degradation model (SNNBD), specifically tailored to quantify battery degradation based on the scheduled BESS daily operational profiles.
no code implementations • 13 Sep 2023 • Qiushi Wang, Xingpeng Li
An immediate need in the transmission system is to find alternative solutions that improve system operation and defer the need for new transmission lines.
no code implementations • 6 Sep 2023 • Mingjian Tuo, Xingpeng Li
This paper presents a convolutional neural network (CNN) based RoCoF-constrained unit commitment (CNN-RCUC) model to guarantee RoCoF stability following the worst generator outage event while ensuring operational efficiency.
no code implementations • 4 Aug 2023 • Ann Mary Toms, Xingpeng Li, Kaushik Rajashekara
A cost optimization renewable sizing (CORS) model is proposed to optimize the sizes of the generation and storage resources.
no code implementations • 3 Aug 2023 • Rida Fatima, Hassan Zahid Butt, Xingpeng Li
Continuous development and upgradation of the distribution network is thus required to meet the energy demand, which poses a significant increase in cost.
no code implementations • 10 Jul 2023 • Mingjian Tuo, Xingpeng Li
An active data sampling method is proposed to maintain the bindingness of the frequency related constraints.
no code implementations • 5 Jul 2023 • Mingjian Tuo, Xingpeng Li, Tianxia Zhao
A comprehensive performance analysis is conducted, comparing the proposed GNN-based power flow model with the traditional DC power flow model, as well as deep neural network (DNN) and convolutional neural network (CNN).
no code implementations • 2 Jun 2023 • Arun Venkatesh Ramesh, Xingpeng Li
Security-constrained unit commitment (SCUC) is a computationally complex process utilized in power system day-ahead scheduling and market clearing.
no code implementations • 7 Apr 2023 • Jesus Silva-Rodriguez, Xingpeng Li
This paper also presents a centralized energy management (CEM) model as a benchmark, and a post-processing proportional exchange algorithm (PEA) to balance the economic benefit of each microgrid.
no code implementations • 6 Mar 2023 • Cunzhi Zhao, Xingpeng Li
Batteries can effectively improve the security of energy systems and mitigate climate change by facilitating wind and solar power.
2 code implementations • 26 Feb 2023 • Jin Lu, Xingpeng Li, Hongyi Li, Taher Chegini, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, Gavin Dillingham
Most power system test cases only have electrical parameters and can be used only for studies based on a snapshot of system profiles.
1 code implementation • 10 Feb 2023 • Bharat Bohara, Raymond I. Fernandez, Vysali Gollapudi, Xingpeng Li
Using a publicly available dataset consisting of 38 homes, the BiLSTM and CNN-BiLSTM models are trained to forecast the aggregated active power demand for each hour within a 24 hr.
no code implementations • 26 Jan 2023 • Jesus Silva-Rodriguez, Jin Lu, Xingpeng Li
The other two methods utilize a hydrogen supercenter (HSC) and transmit offshore energy to and onshore substation through hydrogen pipelines.
no code implementations • 4 Jan 2023 • Ali Siddique, Cunzhi Zhao, Xingpeng Li
We assume the infrastructure to set up an ad-hoc microgrid is already in place for a residential neighborhood with power sources such as photovoltaic (PV), diesel, and battery energy storage system (BESS).
no code implementations • 21 Dec 2022 • Mingjian Tuo, Xingpeng Li
The proposed LRCN and GCN based inertia estimation models achieve an accuracy of 97. 34% and 98. 15% respectively.
no code implementations • 22 Nov 2022 • 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 mitigate the fluctuation caused by renewable energy sources (RES) due to the fast response and high round-trip energy efficiency of BESS.
no code implementations • 20 Nov 2022 • Jin Lu, Xingpeng Li
In this paper, an annual scheduling model (ASM) for energy hubs (EH) coupled power grids is proposed to investigate the annual benefits of seasonal hydrogen storage (SHS).
no code implementations • 15 Nov 2022 • Mingjian Tuo, Xingpeng Li
Conventional synchronous generators are gradually being replaced by inverter-based resources, such transition introduces more complicated operation conditions.
no code implementations • 17 Aug 2022 • Mingjian Tuo, Xingpeng Li
RoCoF predictor is trained to predict the highest locational RoCoF based on a high-fidelity simulation dataset.
no code implementations • 14 Aug 2022 • Cunzhi Zhao, Xingpeng Li
The total electricity consumption from offshore oil/gas platforms is around 16 TWh worldwide in 2019.
no code implementations • 13 Aug 2022 • Arun Venkatesh Ramesh, Xingpeng Li
The ML was then aided with a feasibility layer (FL) and post-process technique to ensure high-quality solutions.
no code implementations • 5 Jul 2022 • Jesus Silva-Rodriguez, Xingpeng Li
This paper proposes a Networked Micro Water-Energy Nexus (NetMicroWEN) capable of co-optimizing and simultaneously supplying water and energy to local consumers in nearby communities.
no code implementations • 1 Jul 2022 • Cunzhi Zhao, Xingpeng Li
When incorporating the NNBD model into security-constrained unit commitment (SCUC), we can establish a battery degradation based SCUC (BD-SCUC) model that can consider the equivalent battery degradation cost precisely.
no code implementations • 28 Jun 2022 • Jin Lu, Xingpeng Li
In this paper, hydrogen pipeline networks, combined with power-to-hydrogen (P2H) and hydrogen-to-power (H2P) facilities, are organized to form a Hydrogen Energy Transmission and Conversion System (HETCS).
no code implementations • 27 Jun 2022 • Thuan Pham, Xingpeng Li
It is concluded that the application of GNN for ROPF is able to reduce computing time while retaining solution quality.
no code implementations • 16 Jun 2022 • Cunzhi Zhao, Jesus Silva-Rodriguez, Xingpeng Li
Moreover, the proposed ROP algorithm is able to obtain a greater SR overall compared to that achieved by the traditional MEM, and this benefit of using the proposed ROP increases as the inverter failure probabilities increase.
no code implementations • 24 Feb 2022 • Cunzhi Zhao, Xingpeng Li
When incorpo-rating the proposed NNBD model into microgrid day-ahead scheduling (MDS), we can establish a battery degradation based MDS (BDMDS) model that can consider the equivalent battery degradation cost precisely with the proposed cycle based battery usage processing (CBUP) method for the NNBD model.
no code implementations • 23 Dec 2021 • Vasudharini Sridharan, Mingjian Tuo, Xingpeng Li
Electricity price is a key factor affecting the decision-making for all market participants.
no code implementations • 15 Dec 2021 • Thuan Pham, Xingpeng Li
The DC power flow model is a popular linear power flow model that is widely used in the power industry.
no code implementations • 2 Dec 2021 • Mingjian Tuo, Xingpeng Li
The increasing integration of renewable energy resources imports different dynamics into traditional power systems; therefore, the estimation of system inertia using mathematical model becomes more difficult.
no code implementations • 17 Nov 2021 • Arun Venkatesh Ramesh, Xingpeng Li
Security-constrained unit commitment (SCUC) is solved for power system day-ahead generation scheduling, which is a large-scale mixed-integer linear programming problem and is very computationally intensive.
no code implementations • 24 Oct 2021 • 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 for demand response (DR).
no code implementations • 21 Oct 2021 • Mingjian Tuo, Xingpeng Li
In this study, a state-space model for the power system network is developed with VI as a frequency regulation method.
no code implementations • 21 Oct 2021 • Mingjian Tuo, Xingpeng Li
With increasing installation of wind and solar generation, conventional synchronous generators in power systems are gradually displaced resulting in a significant reduction in system inertia.
no code implementations • 6 Oct 2021 • Jin Lu, Xingpeng Li
Power system restoration can be divided into three stages: black-start, network reconfiguration, and load restoration.
no code implementations • 29 Apr 2021 • Cunzhi Zhao, Xingpeng Li
Numerical simulations demonstrate the performance of the proposed GSEM strategy which enables the grid operator to have a dispatch choice of trading power with MG and enhance the reliability and resilience of the main grid.
1 code implementation • 28 Apr 2021 • Zhigang Chu, Andrea Pinceti, Ramin Kaviani, Roozbeh Khodadadeh, Xingpeng Li, Jiazi Zhang, Karthik Saikumar, Mostafa Sahraei-Ardakani, Christopher Mosier, Robin Podmore, Kory Hedman, Oliver Kosut, Lalitha Sankar
In this paper, we investigate the feasibility and physical consequences of cyber attacks against energy management systems (EMS).
no code implementations • 20 Jun 2020 • Mingjian Tuo, Xingpeng Li
Integration of intermittent renewable energy sources in modern power systems is increasing very fast.