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723 results on '"Hobbs, Benjamin F."'

1. Assessing the Reliability Benefits of Energy Storage as a Transmission Asset

Author

Sehloff, David, Kwon, Jonghwan, Mehrtash, Mahdi, Levin, Todd, and Hobbs, Benjamin F.

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Utilizing energy storage solutions to reduce the need for traditional transmission investments has been recognized by system planners and supported by federal policies in recent years. This work demonstrates the need for detailed reliability assessment for quantitative comparison of the reliability benefits of energy storage and traditional transmission investments. First, a mixed-integer linear programming expansion planning model considering candidate transmission lines and storage technologies is solved to find the least-cost investment decisions. Next, operations under the resulting system configuration are simulated in a probabilistic reliability assessment which accounts for weather-dependent forced outages. The outcome of this work, when applied to TPPs, is to further equalize the consideration of energy storage compared to traditional transmission assets by capturing the value of storage for system reliability., Comment: Submitted to IEEE Transactions on Industry Applications

Published
2024

3. The full Low-carbon Expansion Generation Optimization (LEGO) model

Author

Wogrin, Sonja, Tejada-Arango, Diego A., Bachhiesl, Udo, and Hobbs, Benjamin F.

Subjects
Mathematics - Optimization and Control, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Mathematical Software, Electrical Engineering and Systems Science - Systems and Control
Abstract

This paper introduces the full Low-carbon Expansion Generation Optimization (LEGO) model available on Github (https://github.com/wogrin/LEGO). LEGO is a mixed-integer quadratically constrained optimization problem and has been designed to be a multi-purpose tool, like a Swiss army knife, that can be employed to study many different aspects of the energy sector. Ranging from short-term unit commitment to long-term generation and transmission expansion planning. The underlying modeling philosophies are: modularity and flexibility. Its unique temporal structure allows LEGO to function with either chronological hourly data, or all kinds of representative periods. LEGO is also composed of thematic modules that can be added or removed from the model easily via data options depending on the scope of the study. Those modules include: unit commitment constraints; DC- or AC-OPF formulations; battery degradation; rate of change of frequency inertia constraints; demand-side management; or the hydrogen sector. LEGO also provides a plethora of model outputs (both primal and dual), which is the basis for both technical but also economic analyses. To our knowledge, there is no model that combines all of these capabilities, which we hereby make freely available to the scientific community., Comment: out of date

Published
2021

18. Adaptive Transmission Planning: Implementing a New Paradigm for Managing Economic Risks in Grid Expansion

Author

Hobbs, Benjamin F, Xu, Qingyu, Ho, Jonathan, Donohoo, Pearl, Kasina, Saamrat, Ouyang, Jasmine, Park, Sang Woo, Eto, Joseph, and Satyal, Vijay

Subjects
Electrical and Electronic Engineering, Energy
Abstract

The problem of whether, where, when, and what types of transmission facilities to build in terms of minimizing costs and maximizing net economic benefits has been a challenge for the power industry from the beginning-ever since Thomas Edison debated whether to create longer dc distribution lines (with their high losses) or build new power stations in expanding his urban markets. Today?s planning decisions are far more complex, as grids cover the continent and new transmission, generation, and demand-side technologies emerge.

Published
2016

25. Does Choice of Power Flow Representation Matter in Transmission Expansion Optimization? A Quantitative Comparison for a Large-Scale Test System

Author

Mehrtash, Mahdi, Hobbs, Benjamin F., Mahroo, Reza, and Cao, Yankai

Abstract

Power transmission network reinforcements must be carefully evaluated to ensure economic, secure, and reliable delivery of electricity. Transmission expansion planning (TEP) models, which seek to optimize the timing, location, and voltages of new transmission lines, can be useful for this task. In general, such models can be mixed-integer nonconvex models due to the discrete nature of investments and AC power flow representations. The original nonconvex TEP model (i.e., ACTEP) is approximated as a linear model (i.e., DCTEP) in most studies. However, the accuracy of this TEP approximation has not been quantified for large-scale power systems. In this article, we first propose a large-scale test system for ACTEP studies, which addresses drawbacks of existing test systems. An ACTEP global solver (i.e., Global-TEP) is used to obtain global solutions of the proposed test system with a guaranteed optimality gap, which allows it to serve as a benchmark for future ACTEP studies. Then, differences among solutions of four TEP models (i.e., DCTEP, local solution of ACTEP, global solution of ACTEP, and global solution of ACTEP with reactive power compensator expansion) are quantified. To our knowledge, this is the first quantitative comparison of DCTEP vs. ACTEP global solutions on a large-scale system. Since a significant difference is observed between the DCTEP and ACTEP solutions, and since the DCTEP solution's performance is significantly worse when verified by an AC load flow model, considering the exact AC power flow representations in TEP studies is recommended.

Published
2024
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26. Economic and Emissions Implications of Load-Based, Source-based and First-seller Emissions Trading Programs under California AB32

Author

Chen, Yihsu, Liu, Andrew L., and Hobbs, Benjamin F.

Abstract

In response to Assembly Bill 32, the State of California is considering three types of carbon emissions trading programs for the electric power sector: load-based, source-based, and first-seller. They differ in terms of their point-of-regulation, and in whether in-state-to-out-of-state and out-of-state-to-in-state electricity sales are regulated. In this paper, we formulate a market equilibrium model for each of the three approaches, considering power markets, transmission limitations, and emissions trading, and making the simplifying assumption of pure bilateral markets. We analyze the properties of their solutions and show the equivalence of load-based, first-seller and source-based approaches, when power sales in both directions are regulated under the cap. A numeric example illustrates the emissions and economic implications of the models. In the simulated cases, "leakage" eliminates most of the emissions reductions that the regulations attempt to impose. Further, "contract reshuffling" occurs to such an extent that all the apparent emissions reductions resulting from changes in sources of imported power are illusory.

Published
2008

34. Area Editors' Statements

Author

Bhargava, Hemant K., Dyer, James S., Hobbs, Benjamin F., Bertsimas, Dimitris, van Ryzin, Garrett J., Washburn, Alan R., Möhring, Rolf H., Harris, Carl M., Kaplan, Edward H., Fu, Michael C., Yao, David D., Cooper, Robert B., and Toth, Paolo

Published
2000

37. Algorithms for LCPs, NCPs and VIs

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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40. Some Microeconomic Principles

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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41. Variational Inequality Problems

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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42. Equilibria and Complementarity Problems

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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43. Introduction and Motivation

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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44. Optimality and Complementarity

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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46. Electricity and Environmental Markets

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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47. Natural Gas Market Modeling

Author

Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., Ruiz, Carlos, Gabriel, Steven A., Conejo, Antonio J., Fuller, J. David, Hobbs, Benjamin F., and Ruiz, Carlos

Published
2013
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49. Editorial and Area Editors' Statements

Author

Harker, Patrick T., Lustig, Irvin, Yu, Po Lung, Sen, Suvrajeet, Nelson, Barry L., Yao, David D., Hobbs, Benjamin F., Zenios, Stavros A., Nahmias, Steven, Wein, Lawrence M., Berman, Oded, Ross, Keith W., Simchi-Levi, David, Harris, Carl M., and Brandeau, Margaret L.

Published
1996

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