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Title: Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
Authors: Hinojosa, Victor H.
Gonzalez-Longatt, Francisco M.
Keywords: Linear distribution factors
Security-constrained
Stochastic programming
Two-stage problem
Uncertainty
Issue Date: 2017
Publisher: © IEEE
Citation: HINOJOSA, V.H. and GONZALEZ-LONGATT, F.M., 2017. Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors. IEEE PowerTech 2017, Manchester, UK, 18th-22nd June 2017.
Abstract: In this study, the authors proposes to develop an efficient formulation in order to figure out the stochastic security-constrained generation capacity expansion planning (SC-GCEP) problem. The main idea is related to directly compute the line outage distribution factors (LODF) which could be applied to model the N − m post-contingency analysis. In addition, the post-contingency power flows are modeled based on the LODF and the partial transmission distribution factors (PTDF). The PTDF-based generation capacity planning formulation has been reformulated in order to include the post-contingency constraint solving both pre- and post-contingency constraints simultaneously. The methodology includes in the optimization problem the load uncertainty using a two-stage multi-period model, and a K−means clustering technique is applied to reduce the load scenarios. The main advantage of this methodology is the feasibility to quickly compute the post-contingency factors especially with multiple-line outages (N − m). This idea could speed up contingency analyses and improve significantly the security-constrained analyses applied to stochastic GCEP problems. It is conducted several experiments with two electrical power systems in order to validate the performance of the proposed formulation.
Description: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: This study was supported in part by the Chilean National Commission for Scientific and Technological Research (CONICYT) under grant Basal FB0008, and by the Universidad Tecnica Federico Santa Maria, Chile, under project USM 116.22.2.
Version: Accepted for publication
DOI: 10.1109/PTC.2017.7981191
URI: https://dspace.lboro.ac.uk/2134/25768
Publisher Link: https://doi.org/10.1109/PTC.2017.7981191
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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