Robust dynamic transmission and renewable generation expansion planning: walking towards sustainable systems

C. Roldán, A.A. Sánchez de la Nieta, R. García-Bertrand, R. Mínguez

Research output: Contribution to journalArticleAcademicpeer-review

28 Citations (Scopus)

Abstract

Recent breakthroughs in Dynamic Transmission Network Expansion Planning (DTNEP) have demonstrated that the use of robust optimization, while maintaining the full temporal dynamic complexity of the problem, renders the capacity expansion planning problem considering uncertainties computationally tractable for real systems. In this paper an adaptive robust formulation is proposed that considers, simultaneously: (i) a year-by-year integrated representation of uncertainties and investment decisions, (ii) the capacity expansion lines have and (iii) the construction and/or dismantling of renewable and conventional generation facilities as well. The Dynamic Transmission Network and Renewable Generation Expansion Planning (DTNRGEP) problem is formulated as a three-level adaptive robust optimization problem. The first level minimizes the investment costs for the transmission network and generation expansion planning, the second level maximizes the costs of operating the system with respect to uncertain parameters, while the third level minimizes those operational costs with respect to operational decisions. The method is tested on two cases: (i) an illustrative example based on the Garver IEEE system and (ii) a case study using the IEEE 118-bus system. Numerical results from these examples demonstrate that the proposed model enables optimal decisions to be made in order to reach a sustainable power system, while overcoming problem size limitations and computational intractability for realistic cases.

Original languageEnglish
Pages (from-to)52-63
Number of pages12
JournalInternational Journal of Electrical Power and Energy Systems
Volume96
DOIs
Publication statusPublished - 1 Mar 2018
Externally publishedYes

Keywords

  • Power systems
  • Renewable generation expansion planning
  • Robust optimization
  • Transmission network expansion planning

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