CN111835026B - Battery energy storage grid-connected model simulation system based on DIgSILENT - Google Patents
Battery energy storage grid-connected model simulation system based on DIgSILENT Download PDFInfo
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Abstract
The invention discloses a DIgSILENT-based battery energy storage grid-connected model simulation system, which is characterized in that: the system comprises an energy storage battery pack behavior model, a grid connection point measurement module, a battery energy storage system power control module, a battery pack charge and discharge control module and a battery pack grid connection module; the invention has the beneficial effects that: the DIgSILENT-based battery energy storage grid-connected model simulation system disclosed by the invention better accords with the characteristics of a battery energy storage system in practice in the aspect of control strategy, and can more accurately analyze the influence of grid connection of the battery energy storage system on a power system; the battery energy storage has an irreplaceable position in the aspects of matching concentrated and distributed new energy grid connection and power grid operation assistance.
Description
Technical Field
The invention relates to the technical field of digital simulation of power systems, in particular to a DIgSILENT-based battery energy storage grid-connected model simulation system.
Background
In recent years, in order to promote the optimization and upgrade of energy industry, realize the clean low-carbon development, China vigorously develops clean energy, wind power and photovoltaic realize the leap-type large development, and the installed capacity ratio of new energy is increasingly improved. However, when clean energy is developed at a high speed, the grid connection of fluctuating and intermittent new energy brings adverse effects to the aspects of regulation and control operation, safety control and the like of a power grid, and the effective utilization of the clean energy is greatly limited. The battery energy storage power station can be applied together with distributed and centralized new energy power generation, is one of effective ways for solving the problem of new energy power generation grid connection, and becomes a major key technology for supporting the strategy of clean energy development in China along with the increasing of the scale of new energy power generation and the continuous development of the battery energy storage technology.
The battery energy storage is used as an important mode of electric energy storage, has the advantages that power and energy can be flexibly configured according to different application requirements, the response speed is high, the battery energy storage is not limited by external conditions such as geographic resources, the battery energy storage is suitable for large-scale application and batch production, and the like, so that the battery energy storage has an irreplaceable status in the aspects of matching with concentrated and distributed new energy grid connection, power grid operation assistance and the like.
The DIgSILENT digital simulation and power grid calculation program is a leading high-end power system simulation tool, has the functions of load flow calculation, short circuit calculation, stability analysis, harmonic analysis, optimal load flow and the like, and can be used for analysis and research of power transmission and distribution networks, power generation, industrial and railway systems, new energy power generation and smart power grids. In addition, DIgSILENT has a rich library of components, a programming-oriented programming language, a dynamic simulation language oriented to continuous running processes, and a rich power electronics component. Therefore, the DIgSILENT is a very convenient tool for carrying out grid-connected modeling on the energy storage battery. At present, common battery energy storage models including the existing battery energy storage system equivalent models in DIgSILENT are too simplified, and SOC and terminal voltage characteristics of the battery energy storage system cannot be simulated really, so that the battery energy storage grid-connected model simulation system based on DIgSILENT disclosed by the invention better accords with the characteristics of the battery energy storage system in practice in the aspects of control strategies and the like, and can more accurately analyze the influence of grid connection of the battery energy storage system on an electric power system.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The invention is provided in view of the above and/or the problem that the existing DIgSILENT-based battery energy storage grid-connected model simulation system has a model which is too simplified and cannot truly simulate the characteristics of the battery energy storage system to the SOC and the terminal voltage.
Therefore, the invention aims to provide a DIgSILENT-based battery energy storage grid-connected model simulation system, which better accords with the characteristics of a battery energy storage system in practice in the aspect of control strategy and can more accurately analyze the influence of grid connection of the battery energy storage system on a power system.
In order to solve the technical problems, the invention provides the following technical scheme: the method comprises the steps of collecting measurement data of a grid-connected point through a data collecting device of a power system, and inputting the data into a measurement module of the grid-connected point; inputting the data analyzed and processed by the grid-connected point measuring module into a power control module of the battery energy storage system; inputting the data of the grid-connected point acquired by the data acquisition device of the power system into a battery pack behavior model; inputting data obtained by processing the battery energy storage system power control module and the battery pack behavior model into a battery pack charging and discharging control module; and the battery pack grid-connected module is adjusted through the data obtained by the battery pack charge-discharge control module.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the grid-connected point measuring module comprises voltage, current and power real measurement for collecting the grid-connected point.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the battery energy storage system power control module comprises active power control and reactive power control.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the active power control comprises active power control of a battery energy storage system and tracking of active power Pref, and tracking is achieved in the module by using a PI control method.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the reactive power control comprises that the reactive power generated by the battery energy storage system provides voltage support for the grid-connected point bus.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the energy storage battery pack behavior model comprises the following steps,
when the SOC of the battery is in the range of 0.2< SOC <1, the terminal voltage of the battery presents the characteristic of linear change, and the calculation relationship is as follows:
U＝Umax·SOC+Umin·(1-SOC)-I·R
the SOC is a battery charging state, Umax and Umin are terminal voltages of the battery when the SOC is 0.2 and when the battery is fully charged, the voltage of the direct current side of the energy storage system is U, the terminal current of the battery is I, and R is the internal resistance of the battery.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the battery pack charging and discharging control module controls the energy storage battery to work in an interval of 0.2< SOC <0.9 to ensure that the terminal voltage of the battery linearly changes; when the battery is charged to the SOC of 0.9, the battery stops charging, and when the battery is discharged to the SOC of 0.2, the battery stops discharging, so that the terminal voltage of the battery is guaranteed to change linearly.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the battery pack grid-connected module is realized by a static generator in DIgSILENT, a dq-axis current signal generated by a power control module is used as an input value to complete PQ control on the static generator, and therefore grid connection is achieved, wherein a d axis is a direct axis, a Q axis is a quadrature axis, P is active power, and Q is reactive power in the static generator.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the static generator comprises a signal controlled output current i, wherein the external control variable of an equivalent controlled current source model is active and reactive current, and the signal controlled output current i is as follows:
i＝(id_ref·cosu－iq_ref·sinu)+j·(id_ref·sinu+iq_ref·cosu)
where id _ ref and iq _ ref are input dq-axis reference currents, u is a grid-connected point voltage, where cosu and sinu can be calculated,
where Re (u1) is the real part of vector u1 and Im (u1) is the imaginary part of vector u 1.
As a preferred scheme of the DIgSILENT-based battery energy storage grid-connected model simulation system, the system comprises the following steps: the static generator also comprises a static generator, wherein the output of the static generator is directly controlled by the input active and reactive current, and the traditional inverter PQ control model is converted into the active and reactive current control of the static generator to realize.
The invention has the beneficial effects that: the DIgSILENT-based battery energy storage grid-connected model simulation system disclosed by the invention better accords with the characteristics of a battery energy storage system in practice in the aspect of control strategy, and can more accurately analyze the influence of grid connection of the battery energy storage system on a power system; the battery energy storage has an irreplaceable position in the aspects of matching concentrated and distributed new energy grid connection and power grid operation assistance.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic diagram of a grid-connected model of the battery energy storage system according to the invention.
Fig. 2 is a schematic diagram of a behavior model of the battery energy storage battery pack according to the invention.
Fig. 3 is a schematic diagram of a power control algorithm of the battery energy storage system according to the present invention.
Fig. 4 is a schematic view of an equivalent circuit of the battery module according to the present invention.
FIG. 5 is a schematic diagram of a DC-DC module according to the present invention.
FIG. 6 is a schematic diagram of a DC/AC rectifying/inverting circuit model according to the present invention.
FIG. 7 is a schematic diagram of an inner loop control model according to the present invention.
FIG. 8 is a schematic diagram of an outer-loop control model according to the present invention.
FIG. 9 shows the present invention idAnd iqAnd (5) a control idea schematic diagram.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Furthermore, the present invention is described in detail with reference to the drawings, and in the detailed description of the embodiments of the present invention, the cross-sectional view illustrating the structure of the device is not enlarged partially according to the general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Example 1
Referring to fig. 1 to 3, for a first embodiment of the present invention, a DIgSILENT-based battery energy storage grid-connected model simulation system is provided, as shown in fig. 1, the DIgSILENT-based battery energy storage grid-connected model simulation system is composed of an energy storage battery pack behavior model, a grid-connected point measurement module, a battery energy storage system power control module, a battery pack charge-discharge control module, and a battery pack grid-connected module; the energy storage battery pack behavior model comprises that the SOC of the battery during charging is in a range of 0.2< SOC <1, the terminal voltage of the battery presents the characteristic of linear change, and the calculation relationship is as follows:
U＝Umax·SOC+Umin·(1-SOC)-I·R
the SOC is a battery charging state, Umax and Umin are terminal voltages of the battery when the SOC is 0.2 and when the battery is fully charged, the direct-current side voltage of the energy storage system is U, the terminal current of the battery is I, and R is the internal resistance of the battery; the grid-connected point measuring module comprises a voltage, current and power measured quantity input simulation system for collecting grid-connected points; the battery energy storage system power control module comprises active power control and reactive power control; the battery pack charging and discharging control module controls the energy storage battery to work in an interval of 0.2< SOC <0.9 to ensure that the terminal voltage of the battery linearly changes, wherein when the battery is charged to the state of charge (SOC) of 0.9, the battery stops charging, and when the battery is discharged to the state of charge (SOC) of 0.2, the battery stops discharging to ensure that the terminal voltage of the battery linearly changes; the battery pack grid-connected module is realized by a static generator in DIgSILENT, a dq shaft current signal generated by a power control module is used as an input value to complete PQ control on the static generator, and therefore grid connection is achieved, wherein a d shaft is a direct shaft in the static generator, a Q shaft is a quadrature shaft, P is active power, and Q is reactive power.
Specifically, the behavior model of the energy storage battery pack is shown in fig. 2, PmeasIs the active power value, N, emitted by the energy storage battery collected by the measuring modulepIs the number of parallel battery groups, NsCell current I for the number of series-connected battery groupscellThe ratio of the voltage to the rated capacity C of the battery after passing through the integrator is used for obtaining the SOC value of the energy storage system, the SOC value is input into a battery terminal voltage calculation module, and the battery terminal voltage U can be calculated according to the formulacellThe direct-current side voltage U of the energy storage system can be obtained by subtracting the partial pressure of the internal resistance of the battery and considering the series connection of the battery packsdc(ii) a The power system data acquisition device is a current and voltage transformer, and inputs measured voltage, current and power values of a grid-connected point into the simulation system by acquiring the measured voltage, current and power values of the grid-connected point, wherein a power control algorithm of the battery energy storage system is shown in figure 2, and for the control of the reactive power of the system, the reactive power generated by the battery energy storage system only provides a voltage support function for a grid-connected point bus. For the control of the active power of the system, the reference active power P can be utilizedrefIs achieved by tracking of, wherein PrefThe output active power for reference can be set manually, PinActive power output, V, of the energy storage system collected by the measuring moduleac_refAnd Vac_inReference to grid-connected point voltageThe values and the actual values, and the voltage and active deviation values realize the tracking of the reference value through a PI control link; after the power control is performed, in order to ensure that the terminal voltage of the battery keeps changing linearly, the charging and discharging state of the battery must be controlled through the charging and discharging control module so that the battery can work in a linear interval. In the model designed herein, the energy storage battery is set to operate only at 0.2<SOC<In the interval of 0.9, that is, when the battery is charged to SOC of 0.9, the battery stops charging, and when the battery is discharged to SOC of 0.2, the battery stops discharging; and finally, the battery pack grid-connected module is realized by a static generator in the DIgSILENT, and the external control variable of the equivalent controlled current source model is the signal controlled output current i of the active and reactive current as follows:
i＝(id_ref·cosu－iq_ref·sinu)+j·(id_ref·sinu+iq_ref·cosu)
in the above formula, id _ ref and iq _ ref are input dq-axis reference currents, u is a grid-connected point voltage, cosu and sinu can be calculated,
in the above formula, Re (u1) is a real part of a vector u1, Im (u1) is an imaginary part of the vector u1, the output of the static generator is directly controlled by input active and reactive current, and a traditional inverter PQ control model is converted into the active and reactive current control of the static generator; and a dq-axis current signal generated by the power control module is an input value, and PQ control on the static generator is completed so as to realize grid connection, wherein the d axis is a direct axis, the Q axis is a quadrature axis, P is active power, and Q is reactive power in the static generator.
Example 2
Referring to fig. 4 to 9, this embodiment is different from the first embodiment in that: the grid-connected model of the battery energy storage system is realized under a traditional PSCAD or Matlab Simulink simulation platform, more components are required to be consumed to perform physical simplified simulation on the grid-connected model of the battery energy storage system, and an example of realizing the energy storage grid-connected model under the PSCAD is given below to be compared with the method disclosed by the patent to explain the advantages of the method disclosed by the patent.
Specifically, under a traditional simulation platform, a physical model of a battery energy storage model can be expressed as a battery pack module, a DC-DC rectification module, a DC-AC inverter module and a control algorithm module; wherein, the equivalent circuit of the battery pack module is shown in fig. 4, Rc and Rdis are connected in series with the diode, which respectively represent the internal resistance of the battery during charging and discharging, eb is the electromotive force of the battery, ubi is the terminal voltage of the battery pack; DC-DC Module As shown in FIG. 5, ubiRepresents a terminal voltage of a battery, udIs a DC bus voltage, LdIs a smoothing reactor, RdIs the series loss of the device, RpFor the parallel loss of the device, the parallel loss is usually very small, R can bepConsidered infinite; setting the duty ratio of a switching tube corresponding to the ith group of batteries as Di, and allowing a current i to flowLiAccording to the 2 states of the switch tube, the state equation of the column write loop is as follows:
in the above formula: i is 1, 2, 3; n is 0, 1, 2, …;
a simplified circuit between the converter and the power grid is shown in fig. 6, the converter can be regarded as a voltage source with controllable amplitude and phase, R is the series loss of the device, and if the device is connected to the power grid through a step-up transformer, the equivalent reactance of the transformer is considered when calculating the reactance L2; according to the circuit model and the coordinate transformation matrix, the current transformer state equation under the synchronous rotation dq coordinate system can be derived as follows:
in the above formula: u. ofid＝0.5M ud cosδ；uiq＝0.5M ud sinδ；L＝L1+L2；idAnd iqD-axis and q-axis components of the line current, respectively; m and delta are respectively the modulation ratio and phase of the output voltage of the converterAn angle; meanwhile, when the phase of the grid voltage is taken as the synchronous phase, the grid voltage only has a d-axis component usdQ-axis component usqIs 0;
the complete system state equation for the energy storage system simulation is shown as the following formula, and X ═ i is givend,iq,iL1,iL2,iL3]TAs state variable, with U ═ U1,u2,u3,u4,u5]T＝[Mcosδ,Msinδ,D1,D2,D3]TAs input variables, id,iqIs the dq-axis current, i, of the systemL1、iL2、iL3Is flowed through L1、L2、L3The current of the inductor, which equations the state outside the system internal dynamics into:
m and delta are respectively the modulation ratio and phase angle of the output voltage of the converter, Rd、LdD-axis components, u, of the system equivalent resistance R and inductance L, respectivelydIs the d-axis component of voltage u; u. ofb1、ub2、ub3Is the battery terminal voltage. u. ofsa、usb、uscThe three-phase grid-connected point voltage of the energy storage battery system is obtained; according to the above equation of state, a control model as shown in fig. 7 and 8 can be formed in the platform, where in fig. 7, M and δ are the modulation ratio and phase angle, R, of the converter output voltage, respectivelyd、LdD-axis components, u, of the system equivalent resistance R and inductance L, respectivelydIs the d-axis component of the voltage u. u. ofb1、ub2、ub3Is the battery terminal voltage. u. ofsa、usb、uscThe three-phase grid-connected point voltage of the energy storage battery system is obtained. z is a radical of1＝Kd*(id *-id)，z2＝Kq*(iq *-iq)，z3＝KL1*(iL1 *-iL1)，z4＝KL2*(iL2 *-iL2)，z5＝KL3*(iL3 *-iL3)，Kd、Kq、KL1、KL2、KL3Is a proportionality coefficient in a proportion control link. D1、D2、D3Is the duty cycle; in FIG. 8, P*、Q*、ud *Active, reactive, d-axis voltage values for reference, P, Q, udAs a measure of the active, reactive, d-axis voltage, KpT is a proportionality constant and a delay time in a proportional-integral link, Id *、iq *、iL1 *、iL2 *、iL3 *Is a reference value input into the inner ring controller; the control model comprises an inner ring control model and an outer ring control model, and also comprises a feedback accurate linearization theory and traditional Proportional Integral (PI) control, and a nonlinear control strategy suitable for the device is designed; in model, Kd、Kq、KL1、KL2、KL3The coefficient is a proportionality coefficient in a proportion control link, the coefficient needs to be repeatedly debugged when a model is actually built, and more time is consumed.
The analysis of the above embodiment shows that in the traditional simulation platform, the final purpose of the design of all control models is to obtain the modulation ratio M, the phase angle delta and the duty ratio D which are calculated by the inner-loop controller and are sent to a PWM (pulse width modulation) pulse generator to obtain the trigger pulse of the switching tube, so as to complete the grid connection of the energy storage system; however, in the process of obtaining the control parameters, a large amount of mathematical operations and debugging of various parameters need to be consumed, and often, calculation and debugging need to be performed for several days or even several weeks for model construction, which is time-consuming and labor-consuming; under the DIgSILENT platform, the grid-connected equipment is a static generator module carried by the system, and the controlled input quantity is dq axis current idAnd iqTherefore, only i needs to be obtained in the actual model construction processdAnd iqThe two reference quantities can complete the grid connection of the energy storage system, time and labor are saved, intermediate process errors possibly generated in complex mathematical operation are avoided, and the two reference quantities are controlledThe comparison of ideas can be illustrated by figure 9; in contrast to the DIgSILENT described in this patent, the calculation module pairs used in the models for both are shown in the following table:
it can be seen from the comparison table that the battery energy storage simulation model constructed under the DIgSILENT simulation platform directly results in shorter time consumption during simulation due to the advantages of fewer intermediate operation links and variables, the debugging time brought by setting of a linear control constant can be reduced during model debugging, and a larger time advantage can be brought when comprehensive simulation of a power grid is considered when various new energy sources are accessed.
It is important to note that the construction and arrangement of the present application as shown in the various exemplary embodiments is illustrative only. Although only a few embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters (e.g., temperatures, pressures, etc.), mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter recited in this application. For example, elements shown as integrally formed may be constructed of multiple parts or elements, the position of elements may be reversed or otherwise varied, and the nature or number of discrete elements or positions may be altered or varied. Accordingly, all such modifications are intended to be included within the scope of this invention. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. In the claims, any means-plus-function clause is intended to cover the structures described herein as performing the recited function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present inventions. Therefore, the present invention is not limited to a particular embodiment, but extends to various modifications that nevertheless fall within the scope of the appended claims.
Moreover, in an effort to provide a concise description of the exemplary embodiments, all features of an actual implementation may not be described (i.e., those unrelated to the presently contemplated best mode of carrying out the invention, or those unrelated to enabling the invention).
It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure, without undue experimentation.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (7)
1. A battery energy storage grid-connected model simulation system based on DIgSILENT is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
collecting measurement data of a grid-connected point through a data collecting device of a power system, and inputting the data into a grid-connected point measuring module; inputting the data analyzed and processed by the grid-connected point measuring module into a power control module of the battery energy storage system;
inputting the data of the grid-connected point acquired by the data acquisition device of the power system into a battery pack behavior model;
inputting data obtained by processing the battery energy storage system power control module and the battery pack behavior model into a battery pack charging and discharging control module;
the battery pack grid-connected module is adjusted through data obtained by the battery pack charge-discharge control module;
the battery pack behavior model may include,
when the SOC of the battery is in the range of 0.2< SOC <1, the terminal voltage of the battery presents the characteristic of linear change, and the calculation relationship is as follows:
U＝Umax·SOC+Umin·(1-SOC)-I·R
the SOC is a battery charging state, Umax and Umin are terminal voltages of the battery when the SOC is 0.2 and when the battery is fully charged, the voltage of a direct current side of the energy storage system is U, the terminal current of the battery is I, and R is the internal resistance of the battery;
the battery pack grid-connected module comprises a battery pack grid-connected module,
the method is realized by a static generator in DIgSILENT, a dq-axis current signal generated by a power control module is used as an input value, PQ control on the static generator is completed, and therefore grid connection is achieved, wherein a d axis is a direct axis, a Q axis is a quadrature axis, P is active power, and Q is reactive power in the static generator;
the static electricity generator comprises a static electricity generator and a static electricity generator,
the signal controlled output current i with the external control variable of the equivalent controlled current source model being the active and reactive current is as follows:
i＝(id_ref·cosu－iq_ref·sinu)+j·(id_ref·sinu+iq_ref·cosu)
where id _ ref and iq _ ref are input dq-axis reference currents, u is the grid-connected point voltage, cosu and sinu can be calculated,
where Re (u1) is the real part of vector u1 and Im (u1) is the imaginary part of vector u 1.
2. The DIgSILENT-based battery energy storage grid-connected model simulation system according to claim 1, wherein: the grid-connected point measuring module comprises voltage, current and power real measurement for collecting the grid-connected point.
3. The DIgSILENT-based battery energy storage grid-connected model simulation system according to claim 2, wherein: the battery energy storage system power control module comprises active power control and reactive power control.
4. The DIgSILENT-based battery energy storage grid-connected model simulation system according to claim 3, wherein: the active power control includes at least one of,
active power control of the battery energy storage system is realized by tracking the active power Pref, and tracking is realized in the module by using a PI (proportional integral) control method.
5. The DIgSILENT-based battery energy storage grid-connected model simulation system according to claim 4, wherein: the reactive power control comprises the steps of,
and reactive power generated by the battery energy storage system provides voltage support for the grid-connected point bus.
6. The DIgSILENT-based battery energy storage grid-connected model simulation system according to claim 5, wherein: the battery pack charging and discharging control module comprises a charging and discharging control module,
controlling the energy storage battery to work in an interval of 0.2< SOC <0.9 to ensure that the terminal voltage of the battery is linearly changed;
when the battery is charged to the SOC of 0.9, the battery stops charging, and when the battery is discharged to the SOC of 0.2, the battery stops discharging, so that the terminal voltage of the battery is guaranteed to change linearly.
7. The DIgSILENT-based battery energy storage grid-connected model simulation system according to claim 6, wherein: the static electricity generator further comprises a generator for generating a static electricity,
the output of the static generator is directly controlled by the input active and reactive current, and the traditional inverter PQ control model is converted into the active and reactive current control of the static generator.
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