Journal ArticleDOI
Heuristic optimization based approach for identification of power system dynamic equivalents
TLDR
Numerical tests performed on the Ecuadorian–Colombian interconnected system, including performance comparisons with other heuristic optimization tools, support the potential of the proposal to provide accurate estimates within a fast convergence rate.About:
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2015-01-01. It has received 17 citations till now. The article focuses on the topics: Multi-swarm optimization & Metaheuristic.read more
Citations
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Journal ArticleDOI
Applied Cosimulation of Intelligent Power Systems: Implementing Hybrid Simulators for Complex Power Systems
TL;DR: This article discusses the state of the art and conceptually describes the main challenges for simulating intelligent power systems and applies the applied aspects of the subject.
Journal ArticleDOI
Nonlinear Model Reduction in Power Systems by Balancing of Empirical Controllability and Observability Covariances
TL;DR: The results show that by using the proposed model reduction the calculation efficiency can be greatly improved and the obtained state trajectories are close to those for directly simulating the whole system or partitioning the system while not performing reduction.
Journal ArticleDOI
Optimal power flow of power systems with controllable wind‐photovoltaic energy systems via differential evolutionary particle swarm optimization
Journal ArticleDOI
Precise equivalent model of small hydro generator cluster and its parameter identification using improved Grey Wolf optimiser
TL;DR: In this paper, a precise equivalent model of small hydro generator cluster (SHGC) is proposed, where the fifth-order model of generator is adopted as the equivalent generator model, the excitation system is simplified into proportional feedback control model and exponential load model is used as equivalent load model.
Journal ArticleDOI
MVMO-Based Identification of Key Input Variables and Design of Decision Trees for Transient Stability Assessment in Power Systems With High Penetration Levels of Wind Power
TL;DR: Test results show that the proposed approach that combines decision trees (DTs), and a newly developed variant of the Mean-Variance Mapping Optimization (MVMO) algorithm, can correctly identify the set of key variables related to wind turbine dynamics, as well as its ability to provide a reliable estimation of the transient stability margin.
References
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Journal ArticleDOI
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
TL;DR: The comprehensive learning particle swarm optimizer (CLPSO) is presented, which uses a novel learning strategy whereby all other particles' historical best information is used to update a particle's velocity.
Journal ArticleDOI
Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance
Göran Andersson,P. Donalek,R. Farmer,Nikos Hatziargyriou,Innocent Kamwa,P. Kundur,Nelson Martins,John Paserba,Pouyan Pourbeik,J.J. Sanchez-Gasca,R. P. Schulz,Aleksandar M. Stankovic,C.W. Taylor,Vijay Vittal +13 more
TL;DR: In this article, the authors present the major conclusions drawn from the presentations and ensuing discussions during the all day session, focusing on the root causes of grid blackouts, together with recommendations based on lessons learned.
Posted Content
The CMA Evolution Strategy: A Tutorial
TL;DR: This tutorial introduces the CMA Evolution Strategy (ES), where CMA stands for Covariance Matrix Adaptation, a stochastic method for real-parameter (continuous domain) optimization of non-linear, non-convex functions.
Book
IEEE recommended practice for excitation system models for power system stability studies
TL;DR: The model structures presented are intended to facilitate the use of field test data as a means of obtaining model parameters and do not represent all of the control loops on any particular system.
OtherDOI
Power System Coherency and Model Reduction
TL;DR: This reading book is your chosen book to accompany you when in your free time, in your lonely, this kind of book can help you to heal the lonely and get or add the inspirations to be more inoperative.