Evaluation of loss of load probability for power systems using intelligent search based state space pruning

2010 ◽  
Author(s):  
Robert C. Green ◽  
Zhu Wang ◽  
Lingfeng Wang ◽  
Mansoor Alam ◽  
Chanan Singhy
Keyword(s):  
Power Systems ◽  
State Space ◽  
Intelligent Search

scholarly journals State-Space Model of Quasi-Z-Source Inverter-PV Systems for Transient Dynamics Studies and Network Stability Assessment

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4150
Author(s):  
Lluís Monjo ◽  
Luis Sainz ◽  
Juan José Mesas ◽  
Joaquín Pedra
Keyword(s):  
Power Systems ◽  
State Space ◽  
State Space Model ◽  
Pv System ◽  
Pv Systems ◽  
Renewable Power ◽  
Ac Networks ◽  
Transient Interactions ◽  
The Stability ◽  
Averaged Model

Photovoltaic (PV) power systems are increasingly being used as renewable power generation sources. Quasi-Z-source inverters (qZSI) are a recent, high-potential technology that can be used to integrate PV power systems into AC networks. Simultaneously, concerns regarding the stability of PV power systems are increasing. Converters reduce the damping of grid-connected converter systems, leading to instability. Several studies have analyzed the stability and dynamics of qZSI, although the characterization of qZSI-PV system dynamics in order to study transient interactions and stability has not yet been properly completed. This paper contributes a small-signal, state-space-averaged model of qZSI-PV systems in order to study these issues. The model is also applied to investigate the stability of PV power systems by analyzing the influence of system parameters. Moreover, solutions to mitigate the instabilities are proposed and the stability is verified using PSCAD time domain simulations.

Frequency Prediction of Power Systems in FNET Based on State-Space Approach and Uncertain Basis Functions

2014 ◽  
Vol 29 (6) ◽  
pp. 2602-2612 ◽  
Author(s):  
Jin Dong ◽  
Xiao Ma ◽  
Seddik M. Djouadi ◽  
Husheng Li ◽  
Yilu Liu
Keyword(s):  
Power Systems ◽  
State Space ◽  
Basis Functions ◽  
State Space Approach ◽  
Space Approach

scholarly journals Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 3 ◽  
Author(s):  
Eduardo Camacho ◽  
Antonio Gallego ◽  
Adolfo Sanchez ◽  
Manuel Berenguel
Keyword(s):  
Model Predictive Control ◽  
Power Systems ◽  
State Space ◽  
Predictive Control ◽  
State Space Model ◽  
Distributed Parameter ◽  
Space Model ◽  
Luenberger Observer ◽  
Predictive Controller ◽  
Nonlinear Distributed Parameter Model

Model predictive control has been demonstrated to be one of the most efficient control techniques for solar power systems. An incremental offset-free state-space Model Predictive Controller (MPC) is developed for the Fresnel collector field located at the solar cooling plant installed on the roof of the Engineering School of Sevilla. A robust Luenberger observer is used for estimating the states of the plant which cannot be measured. The proposed strategy is tested on a nonlinear distributed parameter model of the Fresnel collector field. Its performance is compared to that obtained with a gain-scheduling generalized predictive controller. A real test carried out at the real plant is presented, showing that the proposed strategy achieves a very good performance.

scholarly journals State-Space Modeling Techniques of Emerging Grid-Connected Converters

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4824
Author(s):  
Fabio Mandrile ◽  
Salvatore Musumeci ◽  
Enrico Carpaneto ◽  
Radu Bojoi ◽  
Tomislav Dragičević ◽  
...  
Keyword(s):  
Power Systems ◽  
State Space ◽  
Power Electronics ◽  
Synchronous Generators ◽  
Control Techniques ◽  
Space Modeling ◽  
Modeling Techniques ◽  
State Space Modeling ◽  
Grid Connected Converters ◽  
Practical Accuracy

In modern power electronics-based power systems, accurate modeling is necessary in order to analyze stability and the interaction between the different elements, which are connected to it. State space modeling seems a valid approach to study the modes of a certain system and their correlation with its states. Unfortunately, this approach may require complicated calculations and it is difficult to model advanced or emerging control techniques for grid-tied converters, such as cascaded controllers (e.g., voltage and current) and virtual synchronous generators (VSGs). Moreover, this approach does not allow an easy reconfiguration of the modeled system by adding, removing of modifying certain elements. To solve such problems, this paper presents a step-by-step approach to the converter modeling based on the Component Connection Method (CCM). The CCM is explained in detail and a practical example is given, by modeling one exemplary VSG model available in the literature. The obtained model is finally validated experimentally to demonstrate the practical accuracy of such approach.

Sign in / Sign up

Export Citation Format

Share Document