Todd Levin

ORCID: 0000-0003-0469-4276
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About
Contact & Profiles
Research Areas
  • Electric Power System Optimization
  • Smart Grid Energy Management
  • Integrated Energy Systems Optimization
  • Energy and Environment Impacts
  • Power System Reliability and Maintenance
  • Energy, Environment, and Transportation Policies
  • Hybrid Renewable Energy Systems
  • Electric Vehicles and Infrastructure
  • Optimal Power Flow Distribution
  • Energy Efficiency and Management
  • Global Energy Security and Policy
  • Climate Change Policy and Economics
  • Energy Load and Power Forecasting
  • Global Energy and Sustainability Research
  • Social Acceptance of Renewable Energy
  • Advanced Battery Technologies Research
  • Market Dynamics and Volatility
  • Environmental Impact and Sustainability
  • Smart Grid and Power Systems
  • Risk and Safety Analysis
  • Water resources management and optimization
  • Power Systems and Technologies
  • Water Systems and Optimization
  • Photovoltaic Systems and Sustainability
  • Renewable energy and sustainable power systems

Argonne National Laboratory
2015-2024

Office of Scientific and Technical Information
2022-2024

National Renewable Energy Laboratory
2022-2024

National Technical Information Service
2022-2024

Electric Power Research Institute
2024

Idaho National Laboratory
2022

Georgia Institute of Technology
2010-2014

10.1016/j.esd.2015.12.005 article EN publisher-specific-oa Energy Sustainable Development/Energy for sustainable development 2016-02-04

Access to electricity can lead enhanced education, business, and healthcare opportunities. Governments in emerging economies are often faced with the challenge of increasing access reducing system inequality, while operating under severe budget constraints. This paper develops a methodology for finding optimal expansion power objective maximizing social benefit, as it relates distributional equality access, subject constraint. contrasts traditional models, which minimize cost satisfying...

10.1016/j.apenergy.2020.114583 article EN cc-by-nc-nd Applied Energy 2020-02-25

There is a divide in energy access studies, between technologically-focused modeling papers engineering and economics, justice frameworks principles grounded social sciences. Quantitative computational models are necessary when analyzing energy, more specifically electricity, systems, as they technologically-complex systems that can diverge from intuitive patterns. To assure justice, these must be reflective of, informative to, wide range of stakeholders, including households communities...

10.1016/j.erss.2021.101933 article EN cc-by Energy Research & Social Science 2021-01-22

As power systems around the world are rapidly evolving to achieve decarbonization objectives, it is crucial that system planners and operators use appropriate models tools analyze address associated challenges. This paper provides a detailed overview of properties market in context clean energy transition. We review common model methodologies, their readiness for low- zero‑carbon grids, new trends. Based on review, we suggest improvements designs increase modeling capabilities future grids....

10.1016/j.apenergy.2023.122495 article EN cc-by Applied Energy 2023-12-25

This paper presents a market-based resource adequacy assessment framework to analyze the system generation portfolio that results in competitive market environment. In particular, we apply modeling investigate impact of high penetration levels variable renewable energy resources and different designs on achieving adequacy. The model captures strategic capacity investment retirement decision-making profit-maximizing companies. contrast many previous studies, this considers markets for...

10.1109/tpwrs.2019.2930934 article EN IEEE Transactions on Power Systems 2019-07-24

This paper presents a probabilistic reliability assessment model to address several challenges presented by modern power systems with increasing shares of variable renewable energy and storage. The includes two-stage structure simulate steady-state post-contingency conditions that allows for more realistic system reliability. Computational efficiency is enhanced through filtering Monte Carlo samples parallel computing. We first analyze how outage sample size affects outcomes across different...

10.36227/techrxiv.173699820.09331951/v1 preprint EN cc-by 2025-01-16

We present a computationally efficient mixed-integer program (MIP) that determines optimal generator expansion decisions, as well periodic unit commitment and dispatch. The model is applied to analyze the impact of increasing wind power capacity on generation mix profitability thermal generators. In case study, we find penetration reduces energy prices while for operating reserves increase. Moreover, scarcity pricing through reserve shortfall penalties significantly impacts Without pricing,...

10.1109/tpwrs.2015.2403714 article EN IEEE Transactions on Power Systems 2015-03-03
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