A new master-slave based secondary control method for virtual synchronous generator

2016 ◽  
Author(s):  
Xin Meng ◽  
Zeng Liu ◽  
Jinjun Liu ◽  
Teng Wu ◽  
Shike Wang ◽  
...  
Keyword(s):  
Control Method ◽  
Synchronous Generator ◽  
Secondary Control ◽  
Virtual Synchronous Generator

scholarly journals Small-Signal Modeling and Parameter Optimization Design for Photovoltaic Virtual Synchronous Generator

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 398 ◽  
Author(s):  
Jun Deng ◽  
Nan Xia ◽  
Jungang Yin ◽  
Jiliang Jin ◽  
Shutao Peng ◽  
...  
Keyword(s):  
Optimization Design ◽  
Control Method ◽  
Design Method ◽  
Synchronous Generator ◽  
System Stability ◽  
Operating Point ◽  
Small Signal ◽  
Stochastic Fluctuation ◽  
Photovoltaic Power ◽  
Virtual Synchronous Generator

With the continuous proliferation of renewable energy generation, distributed photovoltaic inverters operating at a maximum power point reduce the inertia of power systems, degrading system frequency stability and potentially causing severe oscillations in systems after being disturbed. The virtual synchronous generator (VSG) control method, which causes photovoltaic inverters to possess inertia and damping, now plays an important role in the field of distributed generation. However, while introducing the advantages of synchronous machines, problems with oscillations are also introduced and the stochastic fluctuation characteristic of photovoltaics results in the stochastic drifting of the operating point. This paper presents an adaptive controller parameter design method for a photovoltaic-VSG (PV-VSG) integrated power system. Firstly, a small-signal model of the PV-VSG is built and a state space model is deduced. Then, the small-signal stability and low frequency oscillation characteristics of the photovoltaic power generation system are analyzed. Finally, considering the limitations of system oscillations and the stochastic drifting of the operating point, a global optimization design method for controller parameters used to improve system stability is proposed. The time domain simulation shows that an optimized PV-VSG could provide sufficient damping in the case of photovoltaic power output changes across a wider range.

scholarly journals Virtual Synchronous Generator Grid Connected Control Method Based on Virtual Impedance

2019 ◽  
Vol 1187 (2) ◽  
pp. 022026
Author(s):  
Bao-zhu Shao ◽  
Guan-feng Zhang ◽  
Jun-you Yang ◽  
Fei-fei Gao ◽  
Feng Sun ◽  
...  
Keyword(s):  
Control Method ◽  
Synchronous Generator ◽  
Virtual Impedance ◽  
Virtual Synchronous Generator

scholarly journals Adaptive damping control strategy of virtual synchronous generator based on fuzzy control

2021 ◽  
Vol 2121 (1) ◽  
pp. 012038
Author(s):  
Wenkai Li ◽  
Jie Xie ◽  
Mengzhao Zhang ◽  
Chunlin Guo
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Storage System ◽  
Synchronous Generator ◽  
Response Speed ◽  
Energy Storage System ◽  
Damping Coefficient ◽  
Primary Frequency ◽  
Virtual Synchronous Generator

Abstract Based on the topology and small signal model of virtual synchronous generator, the influence of virtual inertia and damping coefficient on transient process is analysed. In order to solve the problem of overshoot with small damping coefficient and slow response with large damping coefficient, a fuzzy control method is introduced, which can completely eliminate overshoot without affecting the response speed. Another fuzzy controller is designed to optimize the output of the virtual synchronous generator in the primary frequency modulation process according to the SOC of the energy storage system.

scholarly journals Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2037
Author(s):  
Jun Deng ◽  
Jianbo Wang ◽  
Shupeng Li ◽  
Haijing Zhang ◽  
Shutao Peng ◽  
...  
Keyword(s):  
Wind Power ◽  
Wind Turbines ◽  
Control Method ◽  
Variable Parameter ◽  
Synchronous Generator ◽  
Wind Generation ◽  
Stochastic Dynamic ◽  
Subsynchronous Oscillation ◽  
Virtual Synchronous Generator ◽  
Damping Controller

With the continuous development of wind power capacity, a large number of wind turbines connected by power electronic devices make the system inertia lower, which leads to the problem of system frequency stability degradation. The virtual synchronous generator (VSG) control can make wind turbines possess inertia and damping. However, the stochastic dynamic behavior of wind generation results in the stochastic changing of operating condition; this paper presents an adaptive subsynchronous oscillation (SSO) damping control method for the wind generation with VSG control. Firstly, the small signal model of the permanent magnet synchronous generator (PMSG) with VSG is built, and the model of state space is derived and built. The active power of PMSG is selected as the variable parameter vector to establish a polytopic linear variable parameter system model. Then, based on the hybrid H2/H∞ control method, each vertex state feedback matrix is solved by linear matrix inequality, and a subsynchronous oscillation adaptive damping controller with polytope is obtained. Finally, the 4-machine 2-area system connected to two PMSGs with VSG control is used as the test system for time domain simulation. The simulation results demonstrate that the LPV based adaptive damping controller could provide enough damping under the circumstances of wider changes of wind power outputs.

Research on Control Strategy of Microgrid Inverter Based on Virtual Synchronous Generator

2014 ◽  
Vol 529 ◽  
pp. 496-500 ◽  
Author(s):  
Xiang Chu Xu ◽  
Ling Zhu ◽  
Ben Feng Guo
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Synchronous Generator ◽  
Rotational Inertia ◽  
Simulink Simulation ◽  
Power Frequency ◽  
Output Characteristics ◽  
Frequency Controller ◽  
Virtual Synchronous Generator

In view of the conventional droop control method of inverter cannot fully meet the requirements of the microgrid operation,a new control strategy which is based on the traditional control method and combine with synchronous generator model is put forward, also known as VSG control strategy.AVSG model is establish, focusing on the design of the power frequency controller and excitation controller. The role of the rotational inertia and the power allocation problem of two VSGs in parallel networking system are verified through Matlab / Simulink simulation. The results show that, microgrid inverter based onVSG control strategy can simulate output characteristics of synchronous generator well and is conductive to microgrid operation

scholarly journals A Flexible Control Strategy for Shore-to-Ship Power System in Terms of Grid-Connected and Off-Grid Switch

2018 ◽  
Vol 25 (s2) ◽  
pp. 139-148
Author(s):  
Zhendong Ji ◽  
Zhihong Zhao ◽  
Jianhua Wang ◽  
Zhipeng Lv
Keyword(s):  
Power Supply ◽  
Control Method ◽  
Power Grid ◽  
Pollution Prevention ◽  
Synchronous Generator ◽  
Grid System ◽  
Grid Connection ◽  
Shore Power Supply ◽  
Virtual Synchronous Generator ◽  
Flexible Grid

Abstract There are promising application prospects for applying the shore power technology to the ships in the port for the purpose of pollution prevention. However, the grid-connection of the shore power supply to the ship power grid leads to current surges, damages the ship power consumption equipment, and results in the instability of the ship power grid system, which will seriously affect the reliability of the operation of the ship power grid system. In order to address this problem, the mathematical model of virtual synchronous generator is introduced in this paper. Then, a control method for the flexible grid-connection of the shore power supply to the ship power grid based on the virtual synchronous generator is proposed. Next, the output characteristics of the shore power supply are optimized to match the characteristics of the ship generator, which contributes to the flexible grid-connection of the shore power supply to the ship power grid system. The effectiveness and the feasibility of this method are verified by simulation and experiments.

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