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Thesis manuscript (Xuan Zhang).pdf (1.6 MB)

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Adaptive Robust Stochastic Transmission Expansion Planning

Zhang, Xuan
http://orcid.org/0000-0002-1784-052X
http://rave.ohiolink.edu/etdc/view?acc_num=osu1542811409691546

Abstract Details

2018, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
A well-planned electric transmission network is essential for attaining an effective electricity market and the reliable operation of the associated power system. In this dissertation, we address the transmission expansion planning (TEP) problem. The goal of the thesis work is to develop models and algorithms to help system planners to identify optimal investments in the transmission network. First, we propose a candidate-line selection algorithm based on a set of systematic rules to generate an appropriate candidate-line set for TEP studies. The expertise of system planners and the characteristics of a network are both considered for candidate-line selection. Second, we develop an adaptive robust stochastic optimization model for TEP problems that specifically differentiates long- and short-term uncertainties. The long-term uncertainty pertains to year-to-year changes including the peak demand and available generating capacity of the system during the planning target year. Then, within the target year, the short-term uncertainty pertains to the production of weather-dependent renewable capacity and the load. Next, we expand the adaptive robust stochastic optimization model to consider the coordinated investment in transmission and storage facilities. Such model provides an effective tool to identify the best trade-off between these two types of facilities. Finally, we conclude by providing conclusions, contributions and suggestions for future work.
Antonio Conejo (Advisor)
Ramteen Sioshansi (Committee Member)
Mahesh Illindala (Committee Member)
220 p.
Electrical Engineering
Transmission expansion planning, Robust optimization, Uncertainty, Candidate line selection, Stochastic programming, Energy storage

Recommended Citations

Citations

  • Zhang, X. (2018). Adaptive Robust Stochastic Transmission Expansion Planning [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1542811409691546

    APA Style (7th edition)

  • Zhang, Xuan. Adaptive Robust Stochastic Transmission Expansion Planning. 2018. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1542811409691546.

    MLA Style (8th edition)

  • Zhang, Xuan. "Adaptive Robust Stochastic Transmission Expansion Planning." Doctoral dissertation, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1542811409691546

    Chicago Manual of Style (17th edition)

osu1542811409691546
494
© 2018, some rights reserved.Creative Commons License Adaptive Robust Stochastic Transmission Expansion Planning by Xuan Zhang is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.