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Microgrid Optimal Power Flow Based On Generalized Benders Decomposition

Jamalzadeh, Reza

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2018, Doctor of Philosophy, Case Western Reserve University, EECS - System and Control Engineering.
The future distribution system is envisioned to be a network of distributed energy resources (DER), being able to operate in both the grid connected and islanded modes. In essence, the future electrical distribution systems will operate as medium-voltage (MV) microgrids. This dissertation presents a study of the optimal power flow (OPF) based on generalized benders decomposition (GBD) for optimally scheduling DERs and managing voltage regulation device operations to enable the economic and secure operations of the future MV distribution systems. Key model considerations include multi-phase unbalanced distribution system network, conservation voltage reduction (CVR), and multi-interval energy scheduling. Further, the optimal operating decisions are studied when the MV microgrid is in different operational modes, such as the 1) grid-connected mode, 2) islanded mode, and 3) grid-connected to islanded mode transition. Excellent algorithm performance has been achieved on the IEEE test feeder models. The use of an external engine for solving the unbalanced power flow and obtaining the sensitivities for the decomposed sub-problems allows the OPF to handle scaled-up models with the increased number of decision variables, constraints, and network buses. To support solution of large-scale problems, parallel computational strategies are recommended in order to achieve solution performance required by operations. Among the output of the GBD-based OPF, the primal solution provides optimal operation set point decisions while the dual solution provides system marginal-cost based energy prices such as the locational marginal prices (LMP) for single-phase nodes. These important OPF outcomes can facilitate the economic electricity market design in the distribution system involving both DERs and end-use demands. In this dissertation, a new method based on the GBD-based OPF has also been proposed using the unbalanced power system model linearized around the near-optimal operational state to calculate LMPs for single-phase buses and support the economic market design of the distribution system. Also in this dissertation, the approximation of nodal voltage sensitivities is studied based on observations made about the radial distribution system. As a result, voltage sensitivities can be efficiently computed for all network nodes simply based on the power flow solution and topology searches. The results are validated on the IEEE test feeder models using the perturbation analysis. The proposed method can be applied to large unbalanced radial distribution systems for supporting distribution system planning and operation.
Mingguo Hong, PhD (Advisor)
Kenneth Loparo, PhD (Committee Member)
Vira Chankong, PhD (Committee Member)
Evren Gurkan-Cavusoglu, PhD (Committee Member)
137 p.

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Citations

  • Jamalzadeh, R. (2018). Microgrid Optimal Power Flow Based On Generalized Benders Decomposition [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1512743611060712

    APA Style (7th edition)

  • Jamalzadeh, Reza. Microgrid Optimal Power Flow Based On Generalized Benders Decomposition. 2018. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1512743611060712.

    MLA Style (8th edition)

  • Jamalzadeh, Reza. "Microgrid Optimal Power Flow Based On Generalized Benders Decomposition." Doctoral dissertation, Case Western Reserve University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1512743611060712

    Chicago Manual of Style (17th edition)