Prospective power systems models development algorithms

\nThis research aims to automate the creation of prospective models essential for long-term power system planning. Several algorithms and accompanying tools have been developed to transform an existing power system simulation model (SM) into a series of prospective simulation models (PSMs). This article outlines a general approach to SM conversion using a command system, enabling the binding of SM variants to specific planning periods and operating conditions (OC). Several tools to ensure PSM quality and adequacy, including forecasted power consumption balancing and security-constrained optimal power flow (SCOPF), are presented. Advanced techniques for assessing transient stability model quality and implementing hierarchical power system modeling are also integral parts of this development process.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-06
DOI
https://doi.org/10.1051/e3sconf/202458401034/pdf
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
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article

Prospective power systems models development algorithms

Springer Link (Chiba Institute of Technology)
Power System Optimization and Stability
article

Prospective power systems models development algorithms

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Abstract

\nThis research aims to automate the creation of prospective models essential for long-term power system planning. Several algorithms and accompanying tools have been developed to transform an existing power system simulation model (SM) into a series of prospective simulation models (PSMs). This article outlines a general approach to SM conversion using a command system, enabling the binding of SM variants to specific planning periods and operating conditions (OC). Several tools to ensure PSM quality and adequacy, including forecasted power consumption balancing and security-constrained optimal power flow (SCOPF), are presented. Advanced techniques for assessing transient stability model quality and implementing hierarchical power system modeling are also integral parts of this development process.\n

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 67%
Power System Optimization and Stability
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