Power and Energy Commons^™

Availability Model To Evaluate Ai Data Centers’ Role In Grid Stability, Troy Mcsimov, Trevor S. Kunz, Jeffrey Billo

SMU Data Science Review

The United States has made it clear; it is imperative that the US wins the global AI race. This paper focuses on one of the most challenging puzzle pieces surfaced at the POWER Data Center conference (San Antonio, Sept. 30.); for Electric Reliability Council of Texas (ERCOT) the limiting factor is not generation alone but the need to balance generation and load to preserve grid reliability.

The regulatory landscape fundamentally changed with the passage of Texas Senate Bill 6 in June 2025, which mandates new large loads must "contribute to the recovery of the interconnecting electric utility’s costs" (Texas Legislature, …

Reducing Range Anxiety Through Predictive Modeling Of Ev Battery Degradation, Caleb Thornsbury, Christian Castro, Bivin Sadler

SMU Data Science Review

Electric Vehicles (EV) range anxiety remains one of the top barriers for broader adoption. Range anxiety can be attributed to battery pack age and degradation over time. This paper plans to explore how to address this issue by creating a machine learning model that can predict degradation based on usage, temperature, battery chemistry, charging habits and exploring whether other factors tie into range degradation. This research will be using real world charging data along with lab tested chemistry data to build a model that can be chemistry specific for degradation. This paper will help perspective used-EV buyers learn about battery …

Enhancing Power System Operation: Hydrogen, Dc Transmission Systems, And Robust Optimization, Anping Zhou

Electrical Engineering Theses and Dissertations

The increasing penetration of renewable energy sources (RESs) has brought considerable economic and environmental benefits to power system operations. However, it also introduces several critical challenges that should be addressed to ensure system reliability and efficiency. First, from the generation side, energy curtailment remains a persistent issue due to the random and intermittent nature of RESs. Second, from the transmission side, delivering power from remote RESs (e.g., offshore wind farms) requires substantial infrastructure investment and careful planning. Third, from the operation side, the inherent uncertainty and variability of RES generation create operational difficulties that necessitate advanced mathematical optimization tools for …

On The Integration Of Hydrogen Into Integrated Energy Systems: Reliability Assessment And Optimal Operation And Planning, Tao Wu

Electrical Engineering Theses and Dissertations

Hydrogen, regarded as one of the cleanest energy carriers, is gaining momentum to support the realization of net-zero emissions integrated energy systems due to its versatile applications across various energy sectors. In the near-term, blending hydrogen into integrated energy systems offers opportunities to promote hydrogen integration considering the current high levelized cost of hydrogen. However, because of the different physical properties of hydrogen, the impact of hydrogen on the reliability and optimal operation of integrated energy systems should be investigated to maximize the share of hydrogen without degrading the functionality of integrated energy systems. In the long-term, the optimal planning …

Quantum And Classical Learning Algorithms For Grid Integration Of Energy Storage And Renewables: Operation, Modelling, And Planning, Bin Huang

Electrical Engineering Theses and Dissertations

With the pressing net-zero objectives, renewable energy sources (RESs) and energy storage systems (ESSs), which serve as the main force in providing low-carbon energy and flexibility, are being integrated into the power systems at an unprecedented rate. The rising penetration trend of RESs and ESSs brings both opportunities and challenges. In the short term, the inherent intermittency of RESs and high capital costs of ESSs introduce obstacles to revenue maximization for hybrid power plants and complicate the provision of privacy-ensured, high-fidelity network modeling. Long-term planning faces the hurdle of expanding ESS capacity in microgrids while maintaining power supply resilience with …

Distribution Network Operation With Solar Photovoltaic And Energy Storage Technology, Mohammad Ramin Feizi

Electrical Engineering Theses and Dissertations

Among distributed energy resources, solar photovoltaic (PV) generation has the largest penetration in the distribution networks. Serving electric vehicles (EV) with renewable resource generation would further reduce the carbon footprint of the energy supply chain for electric vehicles. However, the integration of solar PV and EVs in the unbalanced distribution network introduces several challenges including voltage fluctuations, voltage imbalances, reverse power flow, and protection devices’ malfunctions. The uncertainties associated with solar PV integration and electric vehicles operation require significant effort to develop accurate optimization methodologies in the unbalanced distribution systems operation. In this thesis, in order to cope with the …

Study Of Stochastic Market Clearing Problems In Power Systems With High Renewable Integration, Saumya Sakitha Sashrika Ariyarathne

Operations Research and Engineering Management Theses and Dissertations

Integrating large-scale renewable energy resources into the power grid poses several operational and economic problems due to their inherently stochastic nature. The lack of predictability of renewable outputs deteriorates the power grid’s reliability. The power system operators have recognized this need to account for uncertainty in making operational decisions and forming electricity pricing. In this regard, this dissertation studies three aspects that aid large-scale renewable integration into power systems. 1. We develop a nonparametric change point-based statistical model to generate scenarios that accurately capture the renewable generation stochastic processes; 2. We design new pricing mechanisms derived from alternative stochastic programming …

Advances In Power System Operation And Optimization, You Lin

Electrical Engineering Theses and Dissertations

The modern power system has witnessed an increasing penetration of distributed energy resources and modern loads with variable frequency drives. The increasing complexity brings great challenges to modern power system operations. Significant efforts have been made to develop more accurate power system operation and optimization methods. The tradeoff between computation and the model structure makes the problem nontrivial to solve and analyze. Enabled by the wide deployment of PMUs and advanced machine learning algorithms, we improve the conventional power system operation and optimization techniques by improving the accuracy of power system measurements, implementing new power system modeling structures, and performing …

Enhanced Security Utilizing Side Channel Data Analysis, Michael Taylor

Computer Science and Engineering Theses and Dissertations

The physical state of a system is affected by the activities and processes in which it is tasked with carrying out. In the past there have been many instances where such physical changes have been exploited by bad actors in order to gain insight into the operational state and even the data being held on a system. This method of side channel exploitation is very often effective due to the relative difficulty of obfuscating activity on a physical level. However, in order to take advantage of side channel data streams one must have a detailed working knowledge of how a …

Modeling Electric Energy Generation In Ercot During Extreme Weather Events And The Impact Renewable Energy Has On Grid Reliability, Adam R. Ruthford, Bivin Sadler

SMU Data Science Review

This paper shows the inadequacy of current grid backup supplies, their ongoing threat to grid reliability, and the increased risk of customer blackouts. This paper also examines reliability concerns caused by renewable energy sources under more normal operating conditions. This paper seeks to model the impacts of extreme weather on ERCOTs grid. Unusual weather patterns require that the electrical grid operates in conditions outside normal operating parameters. Electrical system demand can spike well above normal levels. At the same time, weather influences can change the operating envelope of electrical generation equipment. The ERCOT grid has changed from its’ traditional mix …

Electricity Market Operations With Massive Renewable Integration: New Designs, Shengfei Yin

Electrical Engineering Theses and Dissertations

Electricity market has been transitioning from a conventional and deterministic operation to a stochastic operation under the increasing penetration of renewable energy. Industry-level solutions toward the future electricity market operation ask for both accuracy and efficiency while maintaining model interpretability. Hence, reliable stochastic optimization techniques come to the first place for such a complex and dynamic problem.

This work starts at proposing a solution strategy for the uncertainty-based power system planning problem, which acts as a preliminary and instructs the electricity market operation. Considering 100% renewable penetration in the future, it analyzes the cost-effectiveness of renewable energy from a long-term …

Multigrid For The Nonlinear Power Flow Equations, Enrique Pereira Batista

Mathematics Theses and Dissertations

The continuously changing structure of power systems and the inclusion of renewable
energy sources are leading to changes in the dynamics of modern power grid,
which have brought renewed attention to the solution of the AC power flow equations.
In particular, development of fast and robust solvers for the power flow problem
continues to be actively investigated. A novel multigrid technique for coarse-graining
dynamic power grid models has been developed recently. This technique uses an
algebraic multigrid (AMG) coarsening strategy applied to the weighted
graph Laplacian that arises from the power network's topology for the construction
of coarse-grain approximations to …

On-Chip Nonreciprocal Components For Full-Duplex Communications And Gaussian Regulated Gate Driver For Electromagnetic Interference Reduction, Chang Yang

Electrical Engineering Theses and Dissertations

This dissertation is comprised of two unrelated design endeavors. The first one is about two CMOS nonreciprocal components: 1) an isolator and 2) a circulator. To make the components compact enough for the next generation communication systems with wide bandwidth, both components operate at 100 GHz band for full-duplex transceivers for ultra-high-data-rate millimeter-wave wireless communication. The proposed nonreciprocal structures are based on a time-domain modulation by signals at around 1/6 of the RF frequencies and spatial duplexing over the RF signal paths, demonstrating over 45 dB isolation in a bandwidth of 1.5 GHz over the tuning range of 85-110 GHz. …

Model-Based And Data-Driven Situational Awareness For Distribution System Monitoring And Control, Ying Zhang

Electrical Engineering Theses and Dissertations

Electric power systems are undergoing a dramatic change. The penetration of distributed energy resources (DERs) such as wind turbine generators and photovoltaic panels is turning a traditional power system into the active distribution network. Power system situational awareness, which provides critical information for system monitoring and control, is being challenged by multiple sources of uncertainties such as random meter errors, stochastic power output of DERs, and imprecise network parameters. On the other hand, cyber-physical power system operation is vulnerable to cyberattacks against effective state estimation, such as false data injection attacks (FDIAs). To construct next-generation smart grids, this dissertation develops …

Learning Deep Architectures For Power Systems Operation And Analysis, Mahdi Khodayar

Electrical Engineering Theses and Dissertations

With the rapid increase in size and computational complexities of power systems, the need for powerful computational models to capture strong patterns from energy datasets is emerged. In this thesis, we provide a comprehensive review on recent advances in deep neural architectures that lead to significant improvements in classification and regression problems in the area of power engineering. Furthermore, we introduce our novel deep learning methodologies proposed for a large variety of applications in this area. First, we present the interval deep probabilistic modeling for wind speed forecasting. Incorporating the Rough Set Theory into deep neural networks, we create an …

Machine Learning Applications In Power Systems, Xinan Wang

Electrical Engineering Theses and Dissertations

Machine learning (ML) applications have seen tremendous adoption in power system research and applications. For instance, supervised/unsupervised learning-based load forecasting and fault detection are classic ML topics that have been well studied. Recently, reinforcement learning-based voltage control, distribution analysis, etc., are also gaining popularity. Compared to conventional mathematical methods, ML methods have the following advantages: (i). better robustness against different system configurations due to its data-driven nature; (ii). better adaption to system uncertainties; (iii). less dependent on the modeling accuracy and validity of assumptions. However, due to the unique physics of the power grid, many problems cannot be directly solved …

Machine Learning In Support Of Electric Distribution Asset Failure Prediction, Robert D. Flamenbaum, Thomas Pompo, Christopher Havenstein, Jade Thiemsuwan

SMU Data Science Review

In this paper, we present novel approaches to predicting as- set failure in the electric distribution system. Failures in overhead power lines and their associated equipment in particular, pose significant finan- cial and environmental threats to electric utilities. Electric device failure furthermore poses a burden on customers and can pose serious risk to life and livelihood. Working with asset data acquired from an electric utility in Southern California, and incorporating environmental and geospatial data from around the region, we applied a Random Forest methodology to predict which overhead distribution lines are most vulnerable to fail- ure. Our results provide evidence …

Visualizing United States Energy Production Data, Bruce P. Kimbark, Melissa Luzardo, Charles South, James Taber

SMU Data Science Review

Power plants production, load, financials and environmental impact from power plants in the United States is publicly available either from the Energy Information Administration, the Environmental Protection Agency or Lazard among others. The general public is interested in US energy production and its potential environmental impact but the available information is complex and difficult to properly understand and not shared in ways that are accessible. Our objective was to gather this data and create different interactive visualizations that make it consumable. Each of the five visualization was designed to explain a specific part of energy that together can provide a …

Operation And Planning Of Data Centers In Electricity Networks, Ali Vafamehr

Electrical Engineering Theses and Dissertations

Cloud computing provides unique opportunities for the various sectors of the economy such as the automotive industry, education, finance, and governmental entities. In-house IT infrastructures vary in quality and can often be outdated and ineffective. As an alternative, cloud computing is a popular IT model which allows various businesses to “outsource” the IT infrastructure to a more efficient model. Businesses are opting to use cloud computing in order to eliminate the capital expenses of traditional IT systems and reduce the around-the-clock expert manpower required to operate on-site IT infrastructures. Relying on cloud services gives businesses the flexibility to access a …

Microgrids: Resilience, Reliability, And Market Structure, Saeed Dehghan Manshadi

Electrical Engineering Theses and Dissertations

This dissertation addresses several challenges corresponding to the operation and planning of microgrids in distribution networks including the formation, energy supply resilience, the contribution of microgrids in the short-term and mid-term operation of bulk power networks and the computational challenges in operation of interdependent infrastructure systems.

An approach to transforming the active distribution network with distributed energy resources into multiple autonomous microgrids is presented in the first section. The distribution network consists of several generation resources and demand entities that could be clustered into autonomous microgrids. Eigen decomposition in the graph spectra of the distribution network is leveraged to determine …