Adaptive Virtual Inertia Control Strategy of VSG for Micro-Grid Based on Improved Bang-Bang Control Strategy

Li, Jin; Bu-ying, Wen; Wang, Huaiyuan

doi:10.1109/access.2019.2904943

Cited by 124 publications

(72 citation statements)

References 18 publications

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“…The results showed that the VSG control had greater inertia than the droop control and higher frequency stability. However, the power allocation accuracy of VSG control was greatly affected by the line parameters, and the active power in VSG control was more oscillating than the droop control strategy [24]. In order to solve the problem of unbalanced parallel output power of multiple energy storage batteries, references [25], [26] proposed a dynamic droop control strategy applying in the energy storage system (ESS), which dynamically allocated energy storage according to the state of charge (SOC) of the battery.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

Zhang

Zheng

Su³

et al. 2020

IEEE Access

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In an islanded microgrid with multiple distributed generations (DGs), the difference in line impedance may cause local voltage deviation, which leads to a series of problems such as lower power allocation accuracy and bus voltage drop under traditional droop control. In this respect, a method for optimizing the droop control using an improved particle swarm optimization (IPSO) is proposed. Firstly, the microgrid structure and influence of line parameters on traditional droop control strategy is analyzed. Then, an improved particle swarm optimization is proposed. Based on the basic particle swarm optimization (PSO) algorithm, a fuzzy inference system (FIS) is introduced to dynamically adjust the particle swarm optimization, which can effectively improve the global search ability and local search ability of the algorithm. After that, the improved algorithm is applied to the droop controller, simultaneously, the range of stable operation of the system is determined by small signal analysis. Finally, the simulation and experiment results show that the proposed improved droop control strategy can achieve accurate allocation of active and reactive power effectively while maintaining bus voltage and system frequency stability, enhance the dynamic performance and transient stability of the microgrid system.

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Section: Introductionmentioning

confidence: 99%

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

Zhang

Zheng

Su³

et al. 2020

IEEE Access

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“…For instance, in [20], active power and reactive power independent controls are discussed by analysing the power coupling mechanism of VSG in medium-and low-voltage microgrids, but analysis for high-voltage microgrid and transient stability are not discussed in it. Additionally, adaptive inertia strategies for VSG with different control schemes are presented in [21,22].…”

Section: Introductionmentioning

confidence: 99%

Improved virtual synchronous generator control to analyse and enhance the transient stability of microgrid

Cheema

Mehmood

2020

IET Renewable Power Generation

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In recent years, the integration of renewable energy resources (RESs) into the power system is growing rapidly, and it is necessary to analyse and evaluate the effect of RES on transient stability of the power system. In this study, centre of inertia (COI) concept is implemented to analyse and evaluate the integration effects of an auxiliary damping control-based virtual synchronous generator (VSG) consisting an improved governor. The impact of VSG integration is divided into synchronous generator (SG) linked parts and COI associated parts. Due to VSG integration into the power system, the significant elements which disturb the COI dynamic motion and rotor dynamics of SG are examined in detail. Different cases are considered to evaluate the effectiveness of the proposed method, i.e. VSG's different integrating location and different power capacities. It is observed in simulation results that COI dynamic motion and rotor dynamics of SG are positively affected by VSG integration, and transient stability improves significantly.

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“…Hence, the frequency fluctuation of the grid cannot be damped by inertia effectively [4]. As a result, the power system under high penetration of RES is expected to become less predictable and unreliable dynamic non-linear system [5]. Recent researches have been focused on the adoption of a control scheme for inverters to compensate for the loss of inertia by mimicking the SM.…”

Section: Introductionmentioning

confidence: 99%

Grid Integration of Solar Photovoltaic System Using Machine Learning-Based Virtual Inertia Synthetization in Synchronverter

2020

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In recent years, the domination of power electronics-interfaced renewable energy source (RES) such as solar photovoltaic (PV) system causes grid frequency instability issue. This paper proposes a new machine learning (ML)-based virtual inertia (VI) synthetization in synchronverter topology to integrate the solar PV system and the power grid with high-frequency stability. The proposed ML-based VI is synthetized by amalgamating the action and critic network to decouple active and reactive power control. Therefore, the proposed synchronverter exhibits decoupled control and flexible moment of inertia (J) changes that lead to high stability and fast transient response as compared to the conventional proportional-integral (PI) and fuzzy logic (FL)-based synchronverters. Various case studies in MATLAB/ Simulink simulation have been carried out, and the results proved the feasibility and effectiveness of the proposed ML-based synchronverter. Through the proposed control strategy, the maximum frequency deviation from the nominal value, settling time to reach quasi-steady-state frequency and steady-state error has been reduced by 0.1Hz, 35% and 27% respectively. INDEX TERMS Synchronverter, virtual inertia, power quality, frequency stability, grid-connected solar photovoltaic system.

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Adaptive Virtual Inertia Control Strategy of VSG for Micro-Grid Based on Improved Bang-Bang Control Strategy

Cited by 124 publications

References 18 publications

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

Improved virtual synchronous generator control to analyse and enhance the transient stability of microgrid

Grid Integration of Solar Photovoltaic System Using Machine Learning-Based Virtual Inertia Synthetization in Synchronverter

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