Supplementary control for virtual synchronous machine based on adaptive dynamic programming

Malla, Naresh; Shrestha, Dipesh; Ni, Zhen; Tonkoski, Reinaldo

doi:10.1109/cec.2016.7744033

Cited by 10 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This review can be used as a guideline for other researchers for future work in the area of VSGs. Advantages Disadvantages [10,12] PI/droop voltage simple and fast configuration rigid and not flexible to sudden changes [66] cascaded control voltage faster response compares with droop controller complex tuning method [15] Krill Herd optimisation voltage optimise the value of the controller parameter to get the best voltage reference value inconsistency to obtain the global optimum of the voltage reference value [22,38] PI/droop frequency easy implementation complex tuning method [27,66] cascaded control frequency combined multiple objective functions under one controller additional measurement required and would complicate the tuning process of the controller [13] PI with self-tuning frequency easy implementation and able to operate under uncertain operating conditions complex tuning method and high tuning time required [14] hybrid control frequency robust controller against fault during grid voltages unbalances condition requires two types of controller at the same time [28] derivative control frequency reduce the first overshoot of frequency responses complex tuning method [31] adaptive dynamic frequency reduce d-axis overshoot, the faster response of d-axis current control, fault ride-through capability by ignoring the effect of the q-axis, the synchronous reference frame controller is not complete [16] FL controller frequency reduce the frequency oscillation further compared with the PI controller under continuous load disturbances difficulty in determining membership function [32] PID with self-tuning OD able to optimise the virtual acceleration according to the RoCoF controller does not react well when the reference power change [13,39] PI with self-tuning OD easy to design and applied complex tuning method and high reaction time [33] adaptive control OD reduce the controller sensitivity and enhanced transient response by increasing the fault CCT initial oscillation response is still high [34] linear control theory OD overcome the unstable low-frequency oscillation and improve the OD complex tuning method [67] bang-bang control OD improve the efficiency of the transient by alternating the inertia/eliminate the transient energy/reduce the oscillation overshoot earlier, faster high-frequency moment of inertia change causes the voltage to oscillate at high frequency as well [35] SRA OD eliminate oscillation during the transition from islanding to the grid or vice versa. Reduced the oscillation to minimal during disturbances to the grid initial voltage spike is higher compared with the n...…”

Section: Resultsmentioning

confidence: 99%

“…Owing to the limitation of coefficient tuning in the PI controller, controllers based on intelligent technique are developed [15, 16, 31, 32]. For example, adaptive dynamic programming (ADP) is used as a supplementary controller to stabilise the I d current of the d – q ‐axis to effectively track the reference current [31]. The ADP controller will adapt to different key parameters under different faults with the help of its neural network (NN) weights updating rules.…”

Section: Control Of Vsgmentioning

confidence: 99%

See 1 more Smart Citation

Progress in control and coordination of energy storage system‐based VSG: a review

Othman

Mokhlis

Mubin

et al. 2019

IET Renewable Power Generation

View full text Add to dashboard Cite

Virtual synchronous generator (VSG) is an important concept toward frequency stabilisation of the modern power system. The penetration of power electronic-based power generation in power grid reduces the total inertia, and thus increases the risk of frequency instability when disturbance occurs in the grid. VSG produces virtual inertia by injecting appropriate active power value to the grid when needed. This virtual inertia can stabilise the grid frequency in case of a power imbalance between generation and loads or any disturbances that affected frequency stability. Its intensive research can see the importance of VSG in inertia control and various intelligent controller techniques. Owing to the importance of VSG in the modern power grid, this study provides a comprehensive review on the control and coordination of VSG toward grid stabilisation in terms of frequency, voltage and oscillation damping during inertia response. A review on the type of energy storage system used for VSG and their benefits is also presented. Finally, perspective on the technical challenges and potential future research related to VSG is also discussed in this study. Nomenclature P g measured active power Q g measured reactive power P * active power reference Q* reactive power reference V g * output voltage reference V g output voltage ω o reference angular frequency ω g grid Frequency ω r rotor angular frequency J moment of inertia constant D damping coefficient constant δ VSG phase angle X output reactance of the VSG K w governor proportional control gain K q reactive power proportional control gain T Q reactive power first-order lag time constant

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Control Of Vsgmentioning

confidence: 99%

Progress in control and coordination of energy storage system‐based VSG: a review

Othman

Mokhlis

Mubin

et al. 2019

IET Renewable Power Generation

View full text Add to dashboard Cite

show abstract

“…The efficiency of VSMs depends on PI control‐based current source inverter. Malla et al has proposed an adaptive dynamic programming‐based supplementary controller for performance enhancement of the system. A VSM connected to solar‐ and wind‐based hybrid power system is shown in Figure .…”

Section: Limitations and Constraints Of Renewable Integrationmentioning

confidence: 99%

Limitations, challenges, and solution approaches in grid‐connected renewable energy systems

et al. 2020

View full text Add to dashboard Cite

Summary In the modern world, only conventional energy resources cannot fulfil the growing energy demand. Electricity is a fundamental building block of a technological revolution. Today, most of the electricity demand is met by the burning of fossil fuels but at the cost of adverse environmental impact. In order to bridge the gap between electricity demand and supply, nonconventional and eco‐friendly means of energy generation are considered. Renewable energy systems (RESs) offer an adequate solution to mitigate the challenges originated due to greenhouse gasses (GHG). However, they have an unpredictable power generation with specific site requirements. Grid integration of RESs may lead to new challenges related to power quality, reliability, power system stability, harmonics, subsynchronous oscillations (SSOs), power quality, and reactive power compensation. The integration with energy storage systems (ESSs) can reduce these complexities that arise due to the intermittent nature of RESs. In this paper, a comprehensive review of renewable energy sources has been presented. Application of ESSs in RESs and their development phase has been discussed. Role of ESSs in increasing lifetime, efficiency, and energy density of power system having RESs has been reviewed. Moreover, different techniques to solve the critical issues like low efficiency, harmonics, and inertia reduction in photovoltaic (PV) systems have been presented. Unlike most of the available review papers, this article also investigates the impact of FACTS technology in RESs‐based power system using multitype flexible AC transmission system (FACTS) controllers. Three simulation models have been developed in MATLAB/Simulink. The results show that FACTS devices help to maintain the stability of RESs integrated power system. This review paper is believed to be of potential benefit for researchers from both the industry and academia to develop better understanding of challenges and solution techniques for REs‐based power systems and future research dimensions in this area.

show abstract

“…The control framework designed with ADP assists in establishing a robust and optimal control concurrently by solving the Hamilton-Jacobi-Bellman equations of optimal control iteratively using the reinforcement learning concept [27]. Similar techniques have been endorsed to tackle different power systems problems [28][29][30][31][32][33]. A preliminary study on implementation of APC method with constant droop and ADP control on a simplified distribution model has been presented in [34,35].…”

Section: Introductionmentioning

confidence: 99%

Overvoltage Prevention and Curtailment Reduction Using Adaptive Droop-Based Supplementary Control in Smart Inverters

Maharjan

Tamrakar²,

et al. 2021

Applied Sciences

Self Cite

View full text Add to dashboard Cite

Recent developments in the renewable energy sector have seen an unprecedented growth in residential photovoltaic (PV) installations. However, high PV penetration levels often lead to overvoltage problems in low-voltage (LV) distribution feeders. Smart inverter control such as active power curtailment (APC)-based overvoltage control can be implemented to overcome these challenges. The APC technique utilizes a constant droop-based approach which curtails power rigidly, which can lead to significant energy curtailment in the LV distribution feeders. In this paper, different variations of the APC technique with linear, quadratic, and exponential droops have been analyzed from the point-of-view of energy curtailment for a LV distribution network in North America. Further, a combinatorial approach using various droop-based APC methods in conjunction with adaptive dynamic programming (ADP) as a supplementary control scheme has also been proposed. The proposed approach minimizes energy curtailment in the LV distribution network by adjusting the droop gains. Simulation results depict that ADP in conjunction with exponential droop reduces the energy curtailment to approximately 50% compared to using the standard linear droop.

show abstract

Supplementary control for virtual synchronous machine based on adaptive dynamic programming

Cited by 10 publications

References 21 publications

Progress in control and coordination of energy storage system‐based VSG: a review

Progress in control and coordination of energy storage system‐based VSG: a review

Limitations, challenges, and solution approaches in grid‐connected renewable energy systems

Overvoltage Prevention and Curtailment Reduction Using Adaptive Droop-Based Supplementary Control in Smart Inverters

Contact Info

Product

Resources

About