Control strategy to mitigate secondary frequency dips for DFIG with virtual inertial control

2016 ◽  
Author(s):  
Zhifan Liu ◽  
Lei Ding ◽  
Kui Wang ◽  
Zhenbin Ma ◽  
Weiyu Bao ◽  
...  
Keyword(s):  
Control Strategy ◽  
Inertial Control

Research of Inertial Control Strategy of Wind turbines under Low Frequency Situation of Hydro-dominated System

2021 ◽  
Author(s):  
Chenguang Wang ◽  
Chongtao Li ◽  
Kehan Zeng ◽  
Yiping Chen ◽  
Liang Xiao ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Control Strategy ◽  
Low Frequency ◽  
Inertial Control

scholarly journals Research on Frequency Fuzzy Adaptive Additional Inertial Control Strategy for D-PMSG Wind Turbine

2019 ◽  
Vol 11 (15) ◽  
pp. 4241
Author(s):  
Mudan Li ◽  
Yinsong Wang
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Control Strategy ◽  
Synchronous Generator ◽  
Frequency Deviation ◽  
Frequency Regulation ◽  
Response Characteristics ◽  
Inertial Response ◽  
Inertial Control ◽  
Fuzzy Adaptive

The traditional additional inertial control (T-AIC) strategy can provide frequency support for the directly-driven wind turbine with a permanent magnet synchronous generator (D-PMSG). However, due to the fixed control coefficients, the frequency modulation effect is poor under load and wind speed disturbances. In order to improve the frequency transient response of D-PMSG, a fuzzy adaptive additional inertial control strategy (FA-AIC) is proposed in this paper. A simplified D-PMSG model is established for the complexity and low calculation speed. A single-machine grid-connected system composed of a D-PMSG and an equivalent synchronous generator set (ESGS) is taken as the background and analysis of the principle of T-AIC. The proportional and derivative coefficient initial values in T-AIC are tuned by simulating the static characteristics and inertial response characteristics of the conventional synchronous generator set, and fuzzy control technology is introduced to adjust the proportional and derivative coefficients adaptively based on the frequency deviation and the frequency deviation change rate under load or wind speed disturbances. The simulation verification indicates that T-AIC, kinetic energy (KE)-based gain-AIC and FA-AIC all can utilize the D-PMSG additional inertial response to provide frequency support for grid-connected systems. Compared with T-AIC and KE-based gain-AIC, the proposed FA-AIC can not only provide more effective frequency support during load disturbances, but also suppress the frequency fluctuation caused by the wind speed variation and displays a better dynamic frequency regulation effect.

scholarly journals An Adaptive fuzzy-PD inertial control strategy for a DFIG wind turbine for frequency support

2020 ◽  
Vol 2 (1) ◽  
pp. 14-26
Author(s):  
Thelfa Ahmad ◽  
Tim Littler ◽  
Wasif Naeem
Keyword(s):  
Power Systems ◽  
Wind Turbine ◽  
Control Strategy ◽  
Frequency Control ◽  
Adaptive Controller ◽  
Renewable Power ◽  
Inertial Control ◽  
Doubly Fed ◽  
Continuous Power ◽  
Fuzzy Pd

With increasing levels of wind generation in power systems, guaranteeing continuous power and system’s safety is essential. Frequency control is critical which requires a supplementary inertial control strategy. Since wind power generation depends directly on wind conditions, this creates an immense challenge for a conventional inertial controller with parameters suitable for all power grid operations and wind speed conditions. Therefore, tuning the controller gains is absolutely critical for an integrated conventional/renewable power system. Here, a fuzzy-logic adaptive inertial controller scheme for online tuning of the proportional-derivative-type (PD) inertial controller parameters is proposed. The proposed controller adapts the control parameters of the supplementary inertial control of the doubly fed induction generator (DFIG) wind turbine so that with any disturbance such as load changes, the active power output can be controlled to mitigate the frequency deviation. Simulation results indicate that the proposed adaptive controller demonstrates a more consistent and robust response to load changes compared to a conventional controller with fixed parameters.

scholarly journals The Inertial Energy Control Strategy of the Cascade H-Bridge Module applied in Photovoltaic System

2021 ◽  
Vol 261 ◽  
pp. 01053
Author(s):  
Chenghan Zhao ◽  
Xiang Li ◽  
Da Xie ◽  
Mingjie Pan
Keyword(s):  
Control Strategy ◽  
Bridge Circuit ◽  
Simulation Software ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Bridge Structure ◽  
Pv System ◽  
Inertial Control ◽  
Simulation Results ◽  
Inertial Energy

This paper put forward the inertial control strategy based on the control of charge and discharge of supercapacitor and the trigger angle of H-bridge which integrates photovoltaic (PV) system. The whole cascade H-bridge structure is composed of traditional photovoltaic module, Boost/Buck circuit, supercapacitor (SC), and H-bridge circuit. First, the charging state and the inertial energy power support of the SC are analysed. Then the control strategy of the cascade H-bridge is proposed. To verify the efficiency of the control strategy, a cascade chain consists of 12 H-bridge unit was built in EMTP simulation software. Finally the simulation results prove that the newly developed SC-integrated cascade module can do inertial energy support well, which is important to the coordination between the power system and solar energy.

scholarly journals Implementation of Dynamic Virtual Inertia Control of Supercapacitors for Multi-Area PV-Based Microgrid Clusters

2020 ◽  
Vol 12 (8) ◽  
pp. 3299 ◽  
Author(s):  
Li Yang ◽  
Zhijian Hu
Keyword(s):  
Dynamic Stability ◽  
Control Strategy ◽  
Control Method ◽  
Integral Manifold ◽  
Dynamic Performance ◽  
Control Approach ◽  
Autonomous Mode ◽  
Inertial Control ◽  
Inertia Control ◽  
Dynamic Inertia

In order to improve the dynamic stability of multi-area microgrid (MG) clusters in the autonomous mode, this study proposes a novel fuzzy-based dynamic inertia control strategy for supercapacitors in multi-area autonomous MG clusters. By virtue of the integral manifold theory, the interactive influence of inertia on dynamic stability for multi-area MG clusters is explored in detail. The energy function of multi-area MG clusters is constructed to further analyze the inertia constant. Based on the analysis of the mechanism, a control strategy for the fuzzy-based dynamic inertia control of supercapacitors for multi-area MG clusters is further proposed. For each sub-microgrid (sub-MG), the gain of the fuzzy-based dynamic inertia control is self-tuned dynamically, with system events being triggered, so as to flexibly and robustly enhance the dynamic performance of the multi-area MG clusters in the autonomous mode. To verify the effectiveness of the proposed control scheme, a three-area photovoltaic (PV)-based MG cluster is designed and simulated on the MATLAB/Simulink platform. Moreover, a comparison between the dynamic fuzzy-based inertial control method and an additional droop control method is finally presented to validate the advantages of the fuzzy-based dynamic inertial control approach.

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