Analysis and simulation of small signal stability of parallel connection of virtual synchronous generators in a microgrid system

الموضوعات : فصلنامه شبیه سازی و تحلیل تکنولوژی های نوین در مهندسی مکانیک

Ghazanfar Shahgholian ¹

1 - Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

تاريخ الإرسال : 25 الخميس , جمادى الثانية, 1446 تاريخ التأكيد : 26 الثلاثاء , شعبان, 1446 تاريخ الإصدار : 15 الأحد , شوال, 1446

الکلمات المفتاحية: Small signal stability, System matrix modes, System microgrid, Parallel connection, Virtual synchronous generator,

ملخص المقالة :

The penetration of renewable energy sources into electrical networks using power electronic converters, due to their low inertia, causes electrical networks to respond negatively to load changes and the periodic nature of generation, which leads to increased frequency fluctuations and reduced power system stability. Synchronization of the inverter with the main grid is of great importance in inverter-based units, so that even in times of disruption or changes this synchronization with the grid must be maintained. Virtual synchronous generator (VSG) technology is used to simulate the characteristics of a synchronous generator to create damping and virtual inertia in a renewable energy-based power system in order to reduce frequency fluctuations and improve stability. Small-signal stability analysis using a small-signal model of parallel connection of two virtual synchronous generators is presented in this paper. For modeling, the second-order model of the virtual synchronous generator was used. The results of the dynamic behavior simulation are reviewed and analyzed by calculating the modes of the system matrix. Also, the participation coefficients are calculated to show the relationship between the system modes and state variables.

المصادر:


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نص كامل:



Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering 16 (4) (2024) 0017~0029 DOI 10.71939/jsme.2024.1194445

 

Research article

Analysis and simulation of small signal stability of parallel connection of virtual synchronous generators in a microgrid system

 

Ghazanfar Shahgholian1,2*

1Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2Smart Microgrid Research Centre, Najafabad Branch, Islamic Azad University, Najafabad, Iran

*[e-mail]

(Manuscript Received --- 26 Dec. 2024; Revised --- 15 Jan. 2025; Accepted --- 25 Feb. 2025)

Abstract

The penetration of renewable energy sources into electrical networks using power electronic converters, due to their low inertia, causes electrical networks to respond negatively to load changes and the periodic nature of generation, which leads to increased frequency fluctuations and reduced power system stability. Synchronization of the inverter with the main grid is of great importance in inverter-based units, so that even in times of disruption or changes this synchronization with the grid must be maintained. Virtual synchronous generator (VSG) technology is used to simulate the characteristics of a synchronous generator to create damping and virtual inertia in a renewable energy-based power system in order to reduce frequency fluctuations and improve stability. Small-signal stability analysis using a small-signal model of parallel connection of two virtual synchronous generators is presented in this paper. For modeling, the second-order model of the virtual synchronous generator was used. The results of the dynamic behavior simulation are reviewed and analyzed by calculating the modes of the system matrix. Also, the participation coefficients are calculated to show the relationship between the system modes and state variables.

Keywords: Small signal stability, System matrix modes, System microgrid, Parallel connection, Virtual synchronous generator.

 

1- Introduction

With the expansion of energy consumption in the world and in order to reduce environmental problems, the penetration of distributed generation systems based on renewable energy sources, such as fuel cells and photovoltaics, in power systems has been continuously increasing [1, 2]. The rapid development of renewable energies in the power generation structure has led to significant changes in the frequency respo­nse characteristics of the grid, which is accompanied by new challenges in the stable operation and control of the power system [3, 4]. The power system has transformed from centralized generation to distributed generation by connecting new energy sources to the power grid [5, 6]. The voltage source converter (inverter) is the communication device between the new power generation and the microgrid. Microgrids are local distribution systems, which are an important form of connecting distributed generation units to the grid. The microgrid can operate in two operating modes: grid-connected and grid-independ­ent [7, 8]. A number of parallel distributed generation units are required to maintain microgrid voltage stability and appropriate load sharing in an islanded microgrid, but in grid-connected mode, control of interfa­ce inverters is used for efficient power exchange with the grid [9, 10].

With the increase in energy units, the use of power electronic converters has increas­ed significantly in order to connect them to inject high-quality power into the main grid. Therefore, the trend of transforming the grid into power systems influenced by power electronic converters is expanding, which will cause changes in the operating mode and dynamic characteristics and stability of the power system [11, 12]. Inertia instability is one of the main problems in this type of systems, because power electronic converters are not able to provide the required inertia and damping to the grid. In addition to having a random nature of the output, renewable energy sources are also unpredictable, and on a large scale they reduce the inertia of the system, and will have an adverse effect on stability [13, 14]. The power generated on the primary side of distributed generation units can be adjusted using inverters, but they are not able to provide the inertia and damping required by the power grid. Inertia plays a major role in shaping the network frequency response during the first seconds of transients due to small or large disturbances in the power system [15, 16].

Problem Statement

The increasing penetration of distributed units has gradually caused the power grid to become a dominant converter system, which may result in the power system having less damping if control strategies are not properly designed. By reducing the mechanical inertia of the power grid, problems related to frequency reduction and its changes due to various disturbances in the power system will arise. Inertia plays an important role in stabilizing the frequency of the microgrid system during load imbalance or load fluctuation [17,18].

So far, various virtual inertia control strategies applicable to microgrids have been proposed to increase microgrid inertia [19, 20]. So far, various virtual inertia control strategies applicable to microgrids have been proposed to increase microgrid inertia [21, 22]. To compensate for the lack of inertia and damping in the power system, the VSG technique, which has electromechanical transient charact­eris­tics, such as a conventional synchr­onous generator with a switching pattern of dist­ributed generation inverters, is used [23, 24].

Having a fast response has led to the VSG method being widely used to improve the system inertia. The tunability of the moment of inertia in the VSG compared to the synchronous generator has made the VSG superior to improve the transient stability in the power system. The development of the VSG is an economic solution for the use of renewable energy sources. By providing virtual inertia, the VSG can control the active and reactive powers for the integration of distributed units such as photovoltaic generation systems. Having significant advantages, VSGs have played an important role in power systems, especially in microgrids and distribution networks. The VSG oscill­ation equation parameters can be contro­lled in real time, unlike a synchronous machine, and the virtual machine response will be faster in tracking the steady-state frequency [25, 26]. The disadv­antages of VSG include the presence of many parameters to adjust, which compli­cates its operation process [27, 28]. In addition, unlike synchronous generators, power converters cannot absorb or deliver any kinetic energy, and additional energy storage systems are required. Given that in a network with low inertia, even a small disturbance will cause the system to experience oscillations, a larger inertia is effective in the decay rate and system oscillations and stability. However, choosing too large inertia will reduce the phase margin, which will worsen the stability of the entire system, so the inertia value should be selected by considering the phase margin [29, 30].

Literature Review

Disturbance in load demand or change of setpoint during parallel operation of multiple VSGs can lead to oscillations in frequency and active power. So far, various studies have been presented on the application of VSGs to improve system performance, such as improving the performance of independent gas generators and improving stability [31], maintaining and increasing the transient stability of the microgrid system [32], designing a dual droop control strategy based on artificial neural networks in microgrids [33], adju­sting the frequency of photovoltaic energy storage microgrid systems [34], and suppr­essing microgrid voltage harmonics [35]. Various studies have also been pres­en­ted on the simultaneous operation of multiple VSGs to supply common loads [36, 37]. Different moments of inertia in VSGs cause differences in the rate of frequency change. When the virtual inertia is low, the response of the VSG will be faster than when the virtual inertia is high. The improvement of the dynamic performance of VSGs in steady and transient states based on different adaptive mechanisms of inertia and dam­ping has been investigated in [38]. It has been shown by power sharing error anal­ysis that for proportional load sharing bet­we­en multiple VSGs, the inertia coeffi­cie­nts and damping coefficients must match. The dynamics of parallel inverters with VSGs have been investigated in [39], where the change of regulation points and load disturbance are considered, and the equivalent inertia and damping characteri­stics are studied. The simulation results show the influence of parameters on the dynamics of VSGs in a parallel system. In the presence of a load disturbance or change of VSG setpoint, the inertia and damping characteristics of VSGs are inde­pe­ndent of other VSG parameters, and only the parameters of VSGs themselves are affected. An adaptive control strategy with a mutual damping term to reduce frequency and active power fluctuations in parallel connection of VSGs to improve frequency dynamics is presented in [40]. A mutual damping term is used to reduce power fluctuations in the system when operating with multiple VSGs. The Lyap­u­nov method is used to pro­ve the stability of the system, and simula­tion results in the Sim­ulink environment of MATLAB soft­w­a­re demo­n­strate the effect­iveness of the met­hod. A VSG for a three-phase parallel-connected split-source converter (SSC) for local voltage regulation and active power sharing in an islanded AC microgrid is presented in [41]. In order to have fast dynamic performance with stability and increase current limitation, a model predictive control method is used. Also, the use of the virtual inertia method reduces the frequency change rate due to sudden load changes. The relationship between oscillation and the distribution of inertial-decay parame­ters of parallel VSGs using a simple frequency response model is proposed in [42]. The parameter tuning problem is co­ns­id­ered with a transfer function, and a learning-based dynamic inertial-decay con­t­rol strategy is presented. The proposed method uses dynamically changing VSG parameters to suppress oscillations. Also, review studies have been presented by various researchers on the application of VSG so far [43, 44]. The intermittent nature of renewable energy sources creates problems for the stability of microgrids, as mentioned in [45]. The provision of virtual inertia by VSG helps to improve stability, and for this reason, different models and control algorithms of VSG technology have been reviewed. The use of virtual synchronous machine technology makes renewable energy generators such as solar and wind energy and flexible loads effective in regulating the voltage and frequency of the grid. The mathematical model and control strategies of virtual synchronous machine technology are reviewed in [46]. In addition, issues related to the sustainability of the technology are evaluated.

Innovation and Structure

In a power system with low inertia, there is a possibility of sudden frequency changes, which leads to problems for power system stability. Although the VSG simulates the characteristics of a conven­tio­nal synchron­ous generator well, there is a possibility of creating problems related to low-frequency oscillations in the power system during load changes. In addi­tion to load sharing, VSGs have the ability to inject virtual inertia into the microgrid when nee­ded. The performance of parallel gener­ators varies based on the different virtual moments of inertia they have. The aim of this paper is to analyze and simulate the dynamic behavior of connecting two VSGs to supply a comm­­on load. The main points to be discu­s­sed in this article can be summarized as follows:

- Investigation of the characteristics of the virtual synchronous generator due to ch­ang­es in the moment of inertia and damping coefficient

- Small-signal model of parallel connection of two virtual synchronous generators

The rest of the article is organized as follows: In the section 2, the structure of the virtual synchronous generator is presented by examining the effect of the moment of inertia and damping coefficient on its characteristics. In the section 3, the small-signal model of two virtual synch­ronous generators is shown by linearizing the power equations. In the section 4, the results of its simulation and analysis are presented. Finally, in the section 5, the conclusions are stated.

2- VSG Structure

The main circuit topology and control structure of the virtual synchronous gene­rator are shown in Fig. 1. As can be seen, the DC power supply, three-phase inverter bridge, LCL filter, line impedance, local load, common junction point and control loop are the main parts that constitute the topology and control stru­cture of the VSG [47,48]. The control loop includes the power detection module, the VSG module, the virtual imp­ed­ance module and the pulse width modu­lation module [49, 50].

 

 

Fig. 1 Main circuit topology and structure of the virtual synchronous generator

 

 

The control block diagram of the VSG has two loops, including the active power loop and the reactive power loop, from which the phase information and the reference voltage am­pli­tude are determ­ined. The active power loop is determined based on the simulation of the oscillation equation and the governor of the synchr­onous generator to maintain frequency sta­bility. The excitation regul­ator in the reactive power loop is used to regulate the reactive power and output voltage [51, 52].

The active power and reactive power control method is used in most control techniques for VSGs due to its simplicity. For grid connection operation, the reactive power control unit cannot provide the required power, and therefore a unit is needed to improve the performance of the reactive power unit [53, 54].

To simulate the mechanical motion of the VSG, there is no physical mechanical device in the control equation, so there are no mechanical power losses [55,56]. The virtual oscillation equa­tion of the VSG is expressed in terms of the oscillation equation of the synchronous machine as follows:

    (1)

where KD is the virtual damping factor, ωg is the grid angular frequency at the point of common connection (grid voltage rotat­ional speed), ωb is the base angular frequency and ωV is the output angular frequency (virtual rotor angular freque­ncy). Also JV is the virtual rotational moment of inertia, δV is the power angle and θm is the virtual mechanical phase. The input mechanical power (reference active power) and the active electrical power (output electrical power) are referred to as Pin and Pout, respectively. Also, Qout is the output reactive power and Qin is the reference reactive power, and Vg and Vr are the grid voltage and reference voltage, respectively. mp is the active power-frequency droop factor and nq is the reactive power-voltage droop factor.

3- Small signal model of parallel virtual synchronous generator

The main objective of using the VSG technique is to improve the stability of the power system based on renewable energy sources. Generally, based on the nature of the disturbance and the analysis, two types of small signal stability and transient stab­ility are considered for the power system based on the synchronous gener­ator.

The inverter forming the microgrid acts as a voltage source [57,58]. Fig. 2 shows the equivalent circuit of supplying a load on a common bus by two VSGs in a microgrid, whose virtual rotors oscillate together. The magnitude of the common load bus voltage is UT. The magnitude of the output voltage of the two VSGs is E1 and E2, respectively, with phases δ1 and δ2. The resistive losses of the system are neglected and the equi­va­lent imped­ance between the source of the VSGs with the common bus is considered as X1 and X2, respect­iv­ely. The acti­ve output powers of each of the VSGs are deter­mined from the following equa­tion:

                             (2)

The output reactive powers of VSGs are equal to:

                      (3)

The reactive powers delivered to the common load from two VSGs can be determined from the following equation:

                     (4)

As can be seen, the powers are a function of the phase difference between the grid voltage and the generator output voltage as well as the magnitude of the grid and VSG output voltages. If the magnitude of the load voltage and the fixed line reactance are taken into account, by linearizing the active power equations around the equilib­rium point, the small-signal equations are determined as follows:

  (5)

where 0 represents the values ​​of the quantities in the steady state, and Δ repr­esents small changes in the variables. Ignoring resistance losses, the active power produced by the VSGs will be completely consumed by the load.

If the voltage changes of the VSGs are ignored, the changes in the electrical power produ­ced by the VSGs can be expressed as follows:

             (6)

where PL represents the total load consu­mp­tion. Fig. 3 shows the small signal model of parallel connection of two VSGs.

 

 

 

Fig. 2 Equivalent circuit connecting two virtual synchronous generators to a common load

 

 

Fig. 3 Small signal block diagram of parallel connection of two virtual synchronous generators

 

 

According to the small signal model of parallel connection of two VSGs, the equations in the state space are expressed as follows by choosing three state variables and three independent inputs:

 

 

  (7)

 

                    (8)

 

4- Simulation results

The intermittency of renewable energy sources has led to the importance of sustainability issues, especially in the field of microgrids, because these sources usua­lly reduce the existing grid inertia. Virtual synchronous generator technology is an effective method to solve the problem of lack of rotational inertia in renewable energy-based power systems. In this sect­ion, the variations of the output electric power and the angular velocity changes of the virtual rotor for step changes in the load are shown.

Case 1- The virtual inertia of VSG1 is considered to be greater than VSG2. In this case, the damping coefficients are the same. Figs. (4) and (5) show the responses of the angular velocity changes of the virtual rotor for two virtual generators for step changes in the reference power 1 and the load, respectively. Figs. (6) and (7) show the responses of the output electric power changes for two virtual generators for step changes in the reference power 1 and the load, respecti­vely.

The system modes in this case are -0.1262 and -0.0703±j0.3309, which has one real mode and two oscillatory modes, which indicates the stability of the response.

As can be seen, VSG2 produces more power than VSG1 with respect to load changes, but with a change in the reference signal, since it has occurred at the input of VSG1, VSG1 will produce more power.

 

 

Fig. 4 Changes in the angular velocity of the virtual rotor for step changes in the active power reference 1 with different inertia coefficients

 

 

Fig. 5 Changes in the angular velocity of the virtual rotor for step changes in the consumed load with different inertia coefficients

 

Fig. 6 Changes in the output electrical power for step changes in the active power reference 1 with different inertia coefficients

 

 

Fig. 7 Changes in the output electrical power for step changes in the consumed load with different inertia coefficients

 

In addition, the angular velocity of the virtual rotor in the steady state is the same for both step changes.

Case 2- In this case, the inertia value is considered the same for both VSGs, but the damping coefficient of VSG2 is greater than VSG1. Figs. (8) and (9) show the changes in the angular velocity of the virtual rotor and the changes in the output electrical power for changes in the cons­um­ed load.

 

Fig. 8 Changes in the angular velocity of the virtual rotor for step changes in the active power reference 1 with different damping coefficients

 

 

Fig. 9 Changes in the electrical power for step changes in the active power reference 1 with different damping coefficients

 

The system modes in this case are -0.0755 and -0.0372±j0.2908, which ind­ic­ate the stability of the system. The osc­illation mode is closer to the real and ima­ginary axes than before. As can be seen, the response time is slower than before.

 

5- Conclusion

The widespread integration of renewable energy sources into power systems has led to the supply of the increasing energy demand and the reduction of environm­ental problems. The separation of resources from the consumption loads, due to the use of power electronic inverters, reduces the inertia of power systems. The lack of inertia is one of the negative characteristics of microgrids based on renewable energy sources with power electronic converters, because it has a negative impact on the dynamic performance of the microgrid, which can cause instability and loss of coordination. The virtual synchronous gen­e­rator is one of the most popular solutions for increasing the inertia of a microgrid. Inverter-based distributed gene­ra­tion sou­rces, having the characteristics of a synchr­onous generator, can be used in the control and stability of the microgrid.

In this paper, parallel connection of virtual synchronous generators in microgrid system is studied. Small signal model is determined using linearized equations of the system. Dynamic performance of parallel VSGs can be different due to different virtual inertia possibilities. Simulation results for different moment of inertia and different damping coefficients of the system behavior are shown. Virtual synchronous generator with high inertia needs a long time to respond to load changes, but with smaller inertia the response is faster.

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