Todd Levin's research while affiliated with Argonne National Laboratory and other places

Publications (27)

Article
Todd Levin is a principal energy systems engineer in the Center for Energy, Environmental and Economic Systems Analysis (CEEESA) at Argonne National Laboratory. His research interests focus on utilizing advanced optimization and simulation methodologies to model complex interactions in electricity markets and quantify the implications of domestic e...
Article
We synthesize available literature, data, and analysis on the degree to which growth in variable renewable energy (VRE) has impacted or might in the future impact bulk power system assets, pricing, and costs in the United States. Most studies of future scenarios indicate that VRE reduces wholesale energy prices and capacity factors of thermal gener...
Article
We present a computationally-efficient optimization model that finds the least-cost generation unit expansion, commitment, and dispatch plan to serve hourly electricity demand and ancillary service requirements. We apply the model to a case study based on data from the electricity market in Texas (ERCOT) to analyze the market and investment impacts...
Article
This paper presents a market-based resource adequacy assessment framework to analyze the system generation portfolio that results in a competitive market environment. In particular, we apply the modeling framework to investigate the impact of high penetration levels of variable renewable energy resources and different market designs on achieving re...
Chapter
Variable generation (VG) can reduce market prices over time and also the energy that other suppliers can sell in the market. The suppliers that are needed to provide capacity and flexibility to meet the long-term reliability requirements may, therefore, earn less revenue. This chapter discusses the topics of resource adequacy and revenue sufficienc...
Chapter
Defining flexibility has been a challenge that a number of industry members and researchers have attempted to address in recent years. With increased variability and uncertainty of variable generation (VG), the resources on the system will have to be more flexible to adjust output, so that power output ranges, power ramp rates, and energy duration...
Chapter
This chapter provides a comprehensive review of four key electricity markets: Energy markets (day-ahead and real-time markets). Ancillary service markets. Financial transmission rights markets. Capacity markets. It also discusses how the outcomes of each of these markets may be impacted by the introduction of high penetrations of variable generatio...
Article
A review of capacity markets in the United States in the context of increasing levels of variable renewable energy finds substantial differences with respect to incentives for operational performance, methods to calculate qualifying capacity for variable renewable energy and energy storage, and demand curves for capacity. The review also reveals la...
Technical Report
Full-text available
We synthesize available literature, data, and analysis on the degree to which growth in variable renewable energy (VRE) has impacted to date or might in the future impact bulk power system assets, pricing, and costs. We do not analyze impacts on specific power plants, instead focusing on national and regional system-level trends. The issues address...
Conference Paper
We present a computationally efficient mixed-integer program (MIP) that determines optimal generator expansion decisions, as well as periodic unit commitment and dispatch. The model is applied to analyze the impact of increasing wind power capacity on the optimal generation mix and the profitability of thermal generators. In a case study, we find t...
Article
This paper discusses the importance and challenges of incentivizing flexibility during short-term operations of the bulk power system due to the increasing variability and uncertainty from growing penetrations of variable generation (VG). Operational flexibility can refer to many aspects of a resource’s capability to support the power system, such...
Article
Due to the rapidly decreasing costs of small renewable electricity generation systems, centralized power systems are no longer a necessary condition of universal access to modern energy services. Developing countries, where centralized electricity infrastructures are less developed, may be able to adopt these new technologies more quickly. We first...
Article
This paper discusses challenges that relate to assessing and properly incentivizing the resources necessary to ensure a reliable electricity system with growing penetrations of variable generation (VG). The output of VG (primarily wind and solar generation) varies over time and cannot be predicted precisely. Therefore, the energy from VG is not alw...
Article
We present a computationally efficient mixed-integer program (MIP) that determines optimal generator expansion decisions, and hourly unit commitment and dispatch in a power system. The impact of increasing wind power capacity on the optimal generation mix and generator profitability is analyzed for a test case that approximates the electricity mark...
Article
We present a computationally efficient mixed-integer program (MIP) that determines optimal generator expansion decisions, as well as periodic unit commitment and dispatch. The model is applied to analyze the impact of increasing wind power capacity on the optimal generation mix and the profitability of thermal generators. In a case study, we find t...
Article
We develop a cost-benefit framework for extending electricity access in currently un-electrified regions. We first show that distributed technologies may be the lowest-cost electrification option in areas where electricity consumption is low and grid connection costs are high. We also show that some centralized electrification programs provide serv...
Article
Electricity systems are subject to delays in construction and outages during operation. These stochastic events have probabilities and costs that depend on local variables and system design. We present a methodology to analyze the cost and performance of different electricity infrastructure development paths in the presence of stochastic events and...
Article
We formulate a mixed-integer program that can be used to analyze the decision between centralized and decentralized technologies for new energy infrastructure development. The formulation minimizes the cost of meeting both average and peak power demand in each specified demand node. We demonstrate our methodology with a case study of Rwanda, accoun...
Article
We have developed a state-scale version of the MARKAL energy optimization model, commonly used to model energy policy at the US national scale and internationally. We apply the model to address state-scale impacts of a renewable electricity standard (RES) and a carbon tax in one southeastern state, Georgia. Biomass is the lowest cost option for lar...
Article
The choice between centralized and decentralized electricity generation is examined for 150 countries as a function of population distribution, electricity consumption, transmission cost, and the cost difference between decentralized and centralized electricity generation. A network algorithm is developed to find the shortest centralized transmissi...
Conference Paper
Full-text available
Future demand for electricity can be met with a range of technologies, with fuels including coal, nuclear, natural gas, biomass and other renewables, as well as with energy efficiency and demand management approaches. Choices among options will depend on factors including capital cost, fuel cost, market and regulatory uncertainty, greenhouse gas em...
Conference Paper
We develop a linear optimization model at the state level, and use this model to investigate how policy constraints on greenhouse gas emissions may affect the lowest-cost choices for electricity generation over the next twenty years. The state-level model provides local and regional decision-makers with a basis for understanding the potential impac...
Article
We present a least-cost linear-optimization model of electricity generation using MARKAL that can be applied at the level of an individual state. Our methodology is applied to a case study of the state of Georgia and used to analyze the evolution of its electricity generation portfolio under different efficiency scenarios.

Citations

... The coordination of these components is essential to avoid instances of energy waste and outage during emergencies. Recent representative examples of outages and imbalances in grid load were observed in Texas in 2021, when record-breaking low temperatures simultaneously impacted energy production and increased power demand [3], and in Argentina in 2022, when prolonged unexpectedly high temperatures decreased power production efficiency, increased power demand, and eventually affected the supply of quality water as purification systems could not be operated at full capacity [4]. Some of the typical mitigations of these events include temporarily limiting energy usage, importing electricity from neighboring grid operators, utilizing stored energy or load shedding [5]. ...
... The hydraulic pump-turbine cannot operate simultaneously in both modes, and it has a smaller range of operability than turbines, especially for Pelton turbines. Today, the HSC principle counts a very few active applications in the world, but academic and industrial communities have increasingly devoted fervent interest in the profitability of this emerging operation with optimal market participation and reserve scheduling [5,6,7,8]. Upgrading the existing hydropower plant infrastructures for HSC is not an easy task and comprehensive feasibility study is required. About the resiliency and reliability of HSC applications, Nicolet [9] analyzed the contribution of a PHES to compensating the consumer load fluctuations and wind power output variation, together with a thermal power plant, in a mixed islanded power network. ...
... The thesis correlating the increase in variable renewable energies with the reduction in prices in the wholesale electricity market was studied in [16], [17]. In [18], wholesale electricity markets in the United States were studied, highlighting the trend of an average reduction of $ 0.37 MWh when the penetration level of variable renewable energies increased by 1%. ...
... Although not the objective of this study, there are other alternatives, apart from the emission trading system, to control emissions from electricity generation (and other industries). The closest one is to establish a Pigouvian tax on emissions (Voorspools and D'haeseleer, 2006), but there are other alternatives such as tradable green certificates (Feng et al. 2018;Caron et al. 2018), certified emissions reduction (Zeng et al. 2021), production and investment tax credits (Levin et al. 2019) or feed-in tariff systems - Espinosa et al. (2018) observe that the feed-in tariff to promote renewable energies had a limited impact on the energy price and GHG emissions in the Spanish electricity market from 2002 to 2017. ...
... Equation (11) determines reserve balance with the dual (λ R ω ) representing the system marginal reserve price. Equation (12) limits reserve shortages based on an segmented operating reserve demand curve (ORDC) [30]. Equations (13)-(14) set reference phase angles and nonnegativity constraints. ...
... Power flow model is involved in a great number of problems and is incorporated in various application models. For instance, it is incorporated into the formulations of state estimation [1,2], security-constrained economic dispatch [3][4][5], security-constrained unit commitment [6,7], transmission maintenance scheduling [8], and transmission expansion planning [9][10][11][12]. Hence, power flow analysis is remarkably important for power system planning as well as power system operations. ...
... Grid-system value can be described as "the ability of any bulk-power system asset [such as wind energy] to contribute to meeting demand such that it avoids the cost of instead using other bulk-power system assets." 58 We consider grid-system value economies to be present when the marginal increase in grid-system value ** exceeds the marginal cost of achieving it: ...
... A key issue of concern for an all-renewable system is system adequacy (Ela et al., 2018;Söder et al., 2019). In an all-renewable energy system, a distinction can be made between VRE, which will need to provide the bulk of the energy, and flanking investments in controllable power generation, storage and demand response, which are needed to maintain the energy balance. ...
... We organize the decision-making process in the RH framework according to the market structure of typical European electricity markets. This is based on the two-settlement system with balancing and day-ahead markets [47]. The model has a time-step of one hour which is often used for electricity markets. ...
... These characteristics have a strong influence on the outcomes of EMs, reducing market-clearing prices [3]. Accordingly, the research community has paid attention to the effectiveness of current market designs to determine if they are still efficient to deal with the increasing levels of VRE (see, e.g., [4,5]). VRE typically involves significant forecast errors, which may result in large imbalances. ...