Summary:
This paper presents a robust optimisation framework for long-term composite generation and transmission expansion planning problem which considers inherent uncertainties such as load growth, fuel cost and renewable energy output uncertainties. In this paper, a bi-level robust optimisation framework is proposed to accommodate wind output uncertainty in line with the uncertain demanded loads and uncertain fuel cost. The addressed optimisation problem is modelled as a mixed-integer optimisation framework with the objective of providing a robust expansion plan while maintaining the minimum cost expansion. In order to evaluate the robustness of each plan, an off-line Lattice Monte Carlo simulation technique is adopted in this study. The validity of the proposed method is examined on a simple six-bus and modified IEEE 118-bus test system as a large-scale case study. The simulation results show that the presented method is both satisfactory and consistent with expectation.
Keywords: Generation and transmission expansion planning; inherent uncertainties; off-line lattice Monte Carlo simulation; robust optimisation
JCR Impact Factor and WoS quartile: 1,011 - Q3 (2017); 1,700 - Q3 (2023)
DOI reference:
https://doi.org/10.1080/0952813X.2016.1259262
Published on paper: July 2017.
Published on-line: November 2016.
Citation:
S.A. Mansouri, M.S. Javadi, A robust optimisation framework in composite generation and transmission expansion planning considering inherent uncertainties. Journal of Experimental & Theoretical Artificial Intelligence. Vol. 29, nº. 4, pp. 717 - 730, July 2017. [Online: November 2016]
