An instantaneous symmetrical component active power theory with finite control state based model predictive control strategy for distribution STATCOM

2020 ◽  
Author(s):  
Gokulananda Sahu ◽  
Rajesh Kumar Patjoshi ◽  
Rakhee Panigrahi
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Active Power ◽  
Power Theory ◽  
Symmetrical Component ◽  
Finite Control ◽  
Control State

scholarly journals Research on Finite Control Set Model Predictive Control Strategy of Three-level APF

2021 ◽  
Vol 1748 ◽  
pp. 032001
Author(s):  
Hang Shi ◽  
Xue Jiao Gong ◽  
Gong Sang Pu Chi ◽  
Juan Juan Zhang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Finite Control ◽  
Control Set

Finite Control Set Model Predictive Control for Dynamic Reactive Power Compensation With Hybrid Active Power Filters

2018 ◽  
Vol 65 (3) ◽  
pp. 2608-2617 ◽  
Author(s):  
Silvia Costa Ferreira ◽  
Robson Bauwlez Gonzatti ◽  
Rondineli Rodrigues Pereira ◽  
Carlos Henrique da Silva ◽  
L. E. Borges da Silva ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Active Power ◽  
Active Power Filters ◽  
Power Filters ◽  
Finite Control ◽  
Control Set

scholarly journals A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control

Processes ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. 530 ◽  
Author(s):  
Wei Li ◽  
Dean Kong ◽  
Qiang Xu ◽  
Xiaoyu Wang ◽  
Xiang Zhao ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Wind Turbines ◽  
Control Strategy ◽  
Wind Farm ◽  
Control Object ◽  
Automatic Generation ◽  
Active Power ◽  
Tracking Performance ◽  
Equivalent Model

In this paper, an industrial application-oriented wind farm automatic generation control strategy is proposed to stabilize the wind farm power output under power limitation conditions. A wind farm with 20 units that are connected beneath four transmission lines is the selected control object. First, the power-tracking dynamic characteristic of wind turbines is modeled as a first-order inertial model. Based on the wind farm topology, the wind turbines are grouped into four clusters to fully use the clusters’ smoothing effect. A method for frequency-domain aggregation and approximation is used to obtain the clusters’ power-tracking equivalent model. From the reported analysis, a model predictive control strategy is proposed in this paper to optimize the rapidity and stability of the power-tracking performance. In this method, the power set-point for the wind farm is dispatched to the clusters. Then, the active power control is distributed from the cluster to the wind turbines using the conventional proportional distribution strategy. Ultra-short-term wind speed prediction is also included in this paper to assess the real-time performance. The proposed strategy was tested using a simulated wind farm based on an industrial wind farm. Good power-tracking performance was achieved in several scenarios, and the results demonstrate that the performance markedly improved using the proposed strategy compared with the conventional strategy.

scholarly journals A novel predictive control strategy for neutral-point clamped converter with harmonic spectrum shaping

2021 ◽  
Author(s):  
Jaksa Rubinic
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Sampling Frequency ◽  
Harmonic Spectrum ◽  
Neutral Point ◽  
Control Technique ◽  
Switching Frequency ◽  
Finite Control ◽  
Control Set

This thesis proposes a new predictive control strategy to achieve fixed-switching frequency operation for a neutral-point clamped (NPC) inverter. The classical fixed-sampling frequency finite control-set model predictive control (FSF-FCS-MPC) operates with variable switching frequency, and thus produces spread-spectrum in an output current. The classical method also suffers from high computational complexity as the number of converter voltage levels increases. To overcome these issues, a high performance variable sampling frequency finite control-set model predictive control (VSF-FCS-MPC) strategy is proposed to control the power converters. The proposed control technique combines the advantages of space vector modulation (SVM) with a newly introduced mechanics to determine the appropriate sampling frequency. With these features the major requirements such as balancing of DC-link capacitor voltages, switching frequency minimization and common-mode voltage mitigation have been achieved with simultaneous elimination of even-order and inter-harmonics in the load current harmonic spectrum. The VSF-FCS-MPC strategy for current control with decoupled active/reactive power regulation of grid-connected multilevel converter was also analyzed. Moreover, a novel DC-link voltage balancing technique is presented which eliminates the need for balancing the capacitor voltages through cost function, and thus alleviates the weighting factor design. An introduction of SVM highly reduces the calculation time by considering only adjacent vectors, rendering FCS-MPC more suitable for implementation with multi-level converters with a number of voltage levels higher than three. Finally, the proposed control technique has been validated through simulation and experimental verification and a detailed comparison of VSF-FCS-MPC with FSF-FCS-MPC and SVM is presented

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