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1802. Coordinated Generation Expansion Planning for Transmission and Distribution Systems via ADMM

Invited abstract in session MA-21: Planning problems in electrical energy systems, stream OR in Energy.

Monday, 8:30-10:00
Room: 49 (building: 116)

Authors (first author is the speaker)

1. Natalia Alguacil
University of Castilla-La Mancha
2. Nahid-Ur-Rahman Chowdhury
University of Castilla-La Mancha
3. Gregorio Muñoz-Delgado
University of Castilla-La Mancha
4. Javier Contreras
University of Castilla - La Mancha

Abstract

This work provides a practical algorithm for solving the generation expansion planning problem for both transmission and distribution systems. Conventional and wind-based generators are eligible to be installed under a set of scenarios that captures the uncertainty arising from different operating conditions, demand fluctuations and wind dynamics. Assuming there is one planner at the transmission level and distinct planners for each of the analyzed distribution systems, an optimal expansion plan for the whole power system is obtained. The resulting problem, which is formulated as an instance of scenario-based linear programming, is solved here in a coordinated but distributed fashion by using the Alternating Direction Method of Multipliers (ADMM). Unlike other works that also facilitate transmission and distribution planners’ coordination, the proposed solution methodology not only guarantees the finite convergence to optimality but also the privacy of information related to each planner’s assets. Privacy is achieved by solely exchanging information on the injections at the interface nodes among neighboring transmission and distribution systems. The algorithm’s performance is tested on small- and medium-sized systems, revealing a reasonable tradeoff between solution quality and computation times for a practical setting.

Keywords

Status: accepted

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