Open AccessCooperative coevolutionary algorithms for optimal PSS tuning based on Monte‐Carlo probabilistic small‐signal stability assessment
Author(s) -
Chabane Yasmina,
Ladjici Ahmed Amine,
Hellal Abdelhafid,
Dookhitram Kumar
Publication year - 2020
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12618
Subject(s) - probabilistic logic , monte carlo method , electric power system , benchmark (surveying) , computer science , probabilistic analysis of algorithms , stability (learning theory) , control theory (sociology) , context (archaeology) , mathematical optimization , engineering , power (physics) , mathematics , machine learning , artificial intelligence , physics , statistics , paleontology , control (management) , geodesy , quantum mechanics , biology , geography
Summary This article presents a robust and optimal PSS tuning with the Monte‐Carlo approach for probabilistic small‐signal stability analysis in electric power systems under uncertainties. The uncertainties are mainly related to renewable energy and include production and demand in power systems. Additionally, lines and transformers contingencies have also been added. Probabilistic models of these uncertainties are constructed considering their characteristics. Subsequently, probabilistic small‐signal stability assessment of the power system is carried out based on modal analysis via Monte‐Carlo simulation. The proposed method is tested by analyzing the eigenvalues of New England New York benchmark system, where stable, unstable, and oscillatory modes are first identified in the deterministic framework and extended to a probabilistic context as the deterministic one is limited for particular operating states. Additionally, local and inter‐area modes of electromechanical oscillation are classified, and PSS optimal placement and tuning are performed to ensure sufficient damping under uncertainties. Relevant discussion of stability enhancement using the proposed approach has been illustrated.