A novel control approach for virtual synchronous generators to suppress frequency and voltage fluctuations in microgrids

Hirase, Yuko; Abe, Kensho; Sugimoto, K.; Sakimoto, Kenichi; Bevrani, Hassan; Ise, Toshifumi

doi:10.1016/j.apenergy.2017.06.058

Cited by 140 publications

(84 citation statements)

References 33 publications

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“…The proposed control methodology demonstrates a robust performance even in the presence of a high share of intermittent RES. A control scheme is proposed in [19] to suppress the deviation in a system's voltage and frequency using VISMA. The study in [20] extends the VISMA control for voltage-source converters to modular multilevel converters and shows accurate results with improved efficiency.…”

Section: Background and Motivationmentioning

confidence: 99%

Modeling the Impact of Modified Inertia Coefficient (H) due to ESS in Power System Frequency Response Analysis

et al. 2020

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The advantages of increased penetration of distributed generation are also accompanied by several challenges, low inertia being one of them, which threatens the grid stability. An emerging approach to confront this problem is the introduction of so-called virtual inertia (VI) provided by energy storage systems (ESS). In contrast to the already available literature which considers a conventional load frequency control (LFC) model, this work concentrates on a modified LFC model as the integration of a large portion of ESS changes the inertia constant (H) of a power system. A sensitivity function is derived that shows the effects of changes in H on the power system's frequency response. With the help of the developed mathematical model and simulation results, it is shown that a difference in the actual and calculated values of H can deteriorate the system performance and economy. As one of the reasons for this difference is improper modeling of ESS in the LFC model, therefore, the study signifies the accurate calculation of H in the power systems having enlarged penetration of ESS.

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Section: Background and Motivationmentioning

confidence: 99%

Modeling the Impact of Modified Inertia Coefficient (H) due to ESS in Power System Frequency Response Analysis

et al. 2020

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“…The literature on voltage and frequency control of MG shows a variety of approaches [9][10][11]. As reported by Hirase et al [12], the power system inertia decreases due to the higher number of DGs, therefore the frequency and voltage of the power system are exposed to swing. Authors in [13] presented a static model based on the power flow and optimal power flow in order to control the under-frequency oscillations in an islanded microgrid.…”

Section: Introductionmentioning

confidence: 99%

“…The effect of frequency and voltage oscillations on the operational performance of the MG was mathematically modelled in [12]. In addition, a proper control strategy based on the obtained mathematical model has been proposed to improve the frequency fluctuations and voltage deviations of the MG and tested experimentally.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

2020

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The main purpose of this paper is to present a novel algorithmic reinforcement learning (RL) method for damping the voltage and frequency oscillations in a micro-grid (MG) with penetration of wind turbine generators (WTG). First, the continuous-time environment of the system is discretized to a definite number of states to form the Markov decision process (MDP). To solve the modeled discrete RL-based problem, Q-learning method, which is a model-free and simple iterative solution mechanism is used. Therefore, the presented control strategy is adaptive and it is suitable for the realistic power systems with high nonlinearities. The proposed adaptive RL controller has a supervisory nature that can improve the performance of any kind of controllers by adding an offset signal to the output control signal of them. Here, a part of Denmark distribution system is considered and the dynamic performance of the suggested control mechanism is evaluated and compared with fuzzy-proportional integral derivative (PID) and classical PID controllers. Simulations are carried out in two realistic and challenging scenarios considering system parameters changing. Results indicate that the proposed control strategy has an excellent dynamic response compared to fuzzy-PID and traditional PID controllers for damping the voltage and frequency oscillations.

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“…The literature shows the application of VI for frequency regulation services and it is expected that role of ESS will increase in future for power system's stability [14,15]. A control scheme is proposed in Reference [16] to suppress the deviation in system's voltage and frequency using VI. The study in Reference [17] proposed a virtual inertia control-based model predictive control for frequency regulation.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to previously mentioned literature which either discuss DR [6][7][8][9][10][11] or ESS [16][17][18][19][20], this work considers their combined operation in a smart grid environment. Moreover, prevalent multi-machine power system is considered for mathematical modelling and simulation results instead of a single-machine power system [21][22][23][24][25].…”

mentioning

confidence: 99%

Impacts of Responsive Loads and Energy Storage System on Frequency Response of a Multi-Machine Power System

et al. 2019

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In recent decades, the power grid’s configuration is shifting towards a smart grid where responsive loads and energy storage systems (ESS) are finding an increased role in the power system operation. In the presented work, a mathematical formulation for frequency response analysis of a multi-machine power system is developed, considering the individual and combined roles of ESS and responsive loads. The validity of the developed model is demonstrated with the help of multiple case studies, which consider the various configurations of the power system. Moreover, different combinations of capacities of generation units, ESS and responsive loads are also simulated. With the help of mathematical model and simulation results, it is demonstrated that ESS and responsive loads may improve the economy and performance of the power system even during the failure of a certain portion of generation capacity. Though the case studies consider non-reheat turbines only, the mathematical model and conclusions are equally valid for other types of turbines as well.

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A novel control approach for virtual synchronous generators to suppress frequency and voltage fluctuations in microgrids

Cited by 140 publications

References 33 publications

Modeling the Impact of Modified Inertia Coefficient (H) due to ESS in Power System Frequency Response Analysis

Modeling the Impact of Modified Inertia Coefficient (H) due to ESS in Power System Frequency Response Analysis

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

Impacts of Responsive Loads and Energy Storage System on Frequency Response of a Multi-Machine Power System

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