Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors

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...

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Main Authors:	Victor H. Hinojosa, Francisco Gonzalez-Longatt
Format:	Default Conference proceeding
Published:	2017
Subjects:	Mechanical engineering not elsewhere classified Linear distribution factors Security-constrained Stochastic programming Two-stage problem Uncertainty Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/25768
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id	rr-article-9556547
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spelling	rr-article-95565472017-01-01T00:00:00Z Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors Victor H. Hinojosa (7209974) Francisco Gonzalez-Longatt (1249602) Mechanical engineering not elsewhere classified Linear distribution factors Security-constrained Stochastic programming Two-stage problem Uncertainty Mechanical Engineering not elsewhere classified 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. 2017-01-01T00:00:00Z Text Conference contribution 2134/25768 https://figshare.com/articles/conference_contribution/Stochastic_security-constrained_generation_expansion_planning_methodology_based_on_a_generalized_line_outage_distribution_factors/9556547 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Linear distribution factors Security-constrained Stochastic programming Two-stage problem Uncertainty Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified Linear distribution factors Security-constrained Stochastic programming Two-stage problem Uncertainty Mechanical Engineering not elsewhere classified Victor H. Hinojosa Francisco Gonzalez-Longatt Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
description	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.
format	Default Conference proceeding
author	Victor H. Hinojosa Francisco Gonzalez-Longatt
author_facet	Victor H. Hinojosa Francisco Gonzalez-Longatt
author_sort	Victor H. Hinojosa (7209974)
title	Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
title_short	Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
title_full	Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
title_fullStr	Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
title_full_unstemmed	Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
title_sort	stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
publishDate	2017
url	https://hdl.handle.net/2134/25768
_version_	1756329194930831360

Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors

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