Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors
Title | Stochastic security-constrained generation expansion planning methodology based on a generalized line outage distribution factors |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Hinojosa, V., Gonzalez-Longatt, F. |
Conference Name | 2017 IEEE Manchester PowerTech |
Keywords | electrical power systems, K-means clustering technique, line outage distribution factors, Linear distribution factors, Load flow, Load modeling, load uncertainty, LODF, N-m post-contingency analysis, Optimization, partial transmission distribution factors, Planning, post-contingency constraints, post-contingency power flows, power generation, power generation planning, power system security, Power systems, pre-contingency constraints, PTDF, pubcrawl, resilience, Resiliency, SC-GCEP problem, Scalability, security, security-constrained, security-constraint analysis modeling, Stochastic computing, Stochastic Computing Security, Stochastic processes, stochastic programming, stochastic security-constrained generation capacity expansion planning problem, transmission lines, two-stage multi-period framework, two-stage problem, Uncertainty |
Abstract | In this study, it is proposed to carry out 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 post-contingency constraints have been reformulated using linear distribution factors (PTDF and LODF) so that both the pre- and post-contingency constraints are modeled simultaneously in the SC-GCEP problem using these factors. In the stochastic formulation, the load uncertainty is incorporated employing a two-stage multi-period framework, and a K - means clustering technique is implemented to decrease the number of 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 concept would improve the security-constraint analysis modeling quickly the outage of m transmission lines in the stochastic SC-GCEP problem. It is carried out several experiments using two electrical power systems in order to validate the performance of the proposed formulation. |
URL | https://ieeexplore.ieee.org/document/7981191/ |
DOI | 10.1109/PTC.2017.7981191 |
Citation Key | hinojosa_stochastic_2017 |
- Stochastic computing
- PTDF
- pubcrawl
- resilience
- Resiliency
- SC-GCEP problem
- Scalability
- security
- security-constrained
- security-constraint analysis modeling
- pre-contingency constraints
- Stochastic Computing Security
- Stochastic processes
- stochastic programming
- stochastic security-constrained generation capacity expansion planning problem
- transmission lines
- two-stage multi-period framework
- two-stage problem
- uncertainty
- optimization
- K-means clustering technique
- line outage distribution factors
- Linear distribution factors
- Load flow
- Load modeling
- load uncertainty
- LODF
- N-m post-contingency analysis
- electrical power systems
- partial transmission distribution factors
- Planning
- post-contingency constraints
- post-contingency power flows
- power generation
- power generation planning
- power system security
- power systems