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Demand Uncertainties Management in SCUC and Voltage Security Enhancement for SCED

Zhong, Wanyun
http://rave.ohiolink.edu/etdc/view?acc_num=case1554420443707557

Abstract Details

2019, Doctor of Philosophy, Case Western Reserve University, EECS - System and Control Engineering.
Novel improvements on Security Constrained Unit Commitment (SCUC) and Security Constrained Economic Dispatch (SCED) are made to improve the general accuracy and economics of the electricity market. Specifically, a novel model for scheduling flexible resources in the real-time market (RTM) to handle uncertain net demand (load minus wind) is proposed. The SCUC in the two-settlement power market is modeled as a three-stage process, in which the first stage determines the commitment decision for all thermal generators using day-ahead forecast data, while the second stage adjusts the commitment decisions of fast-start generators, and the third stage schedules the charge and discharge status for grid-scale energy storage devices, taking into account the load and wind generation uncertainties. A three-stage modeling and solution framework for SCUC is proposed based on multi-parametric programming and the rolling horizon approach to manage the forecast deviations in different time scales. Using multi-parametric programming theory, the uncertain parameters are included in the SCUC model instead of a fixed value. The multi-parametric programming based SCUC could be formulated and solved offline in advance. The optimal solution, that includes all possible results of future uncertainty, can be stored in a look-up table and the commitment decision can be calculated using function evaluations and a rolling horizon framework with the up-to-date information. Using the proposed model and framework, some of the online optimization work can be shifted offline and to significantly reduce computational time. Numerical case studies on the modified IEEE RTS 79 system demonstrate the effectiveness of the proposed approach. In addition, a Generalized DC (GenDC) power flow model-based SCED is proposed. In the proposed model, power flow security constraints not only include real power dispatch but also consider reactive power dispatch. Voltage security constraints include voltage constraints, real power dispatch and reactive power dispatch are also modeled in the proposed algorithm. The proposed model has been applied to a large number of practical system models with greater than 18,000 buses. The results provide convincing evidence that the proposed GenDC-based SCED model can effectively mitigate power system voltage issues through minor modifications of the existing market design.
Kenneth Loparo (Advisor)
Electrical Engineering; Energy

Recommended Citations

Citations

  • Zhong, W. (2019). Demand Uncertainties Management in SCUC and Voltage Security Enhancement for SCED [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1554420443707557

    APA Style (7th edition)

  • Zhong, Wanyun. Demand Uncertainties Management in SCUC and Voltage Security Enhancement for SCED. 2019. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1554420443707557.

    MLA Style (8th edition)

  • Zhong, Wanyun. "Demand Uncertainties Management in SCUC and Voltage Security Enhancement for SCED." Doctoral dissertation, Case Western Reserve University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1554420443707557

    Chicago Manual of Style (17th edition)

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© 2019, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.