CN111952960A - Intelligent load flexible multi-target coordination control method based on power spring - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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Abstract
The invention provides an intelligent load flexible multi-target coordination control method based on a power spring, which is characterized in that a single-phase-locked loop is established based on Hilbert transformation, and the obtained system frequency is used for fixed frequency control; based on a single-phase instantaneous reactive power theory, measuring reactive power output by the single-phase ES, and using the measured reactive power for carrying out follow-up constant reactive power control; designing a fuzzy logic controller, and setting a switching rule of voltage control and constant-reactive power control according to the line condition; and establishing a control model of a flexible multi-target control strategy based on the power spring, and completing multi-target coordination control on the fixed frequency, the fixed voltage and/or the fixed reactive power of the intelligent load through the control model. The invention can control the transient frequency under the fault condition and provide better transient voltage response; voltage and frequency drop during fault can be reduced, so that the power quality of the power utilization side during steady state and transient state is ensured; the control method is more complete and comprehensive, and is particularly suitable for controlling the single-phase intelligent load.
Description
Technical Field
The invention relates to the technical field of micro-grid power quality optimization research, in particular to an intelligent load flexible multi-target coordination control method based on power springs.
Background
With the continuous development and popularization of new energy distributed power generation, the power supply and demand in a power system are sometimes difficult to balance, and the problems of frequency flicker, voltage fluctuation and the like may occur. The Shu Yuen (Ron) Hui team proposes the concept of an Electric Spring (ES) according to the properties of a mechanical spring, so that the stability of bus voltage under the fluctuation of a power grid can be improved. However, current research on power springs focuses primarily on the ability to maintain the ac bus voltage stable under steady state conditions, and involves little frequency regulation and rapid voltage recovery during transients.
Unlike rotating electrical machines, new energy power plants tend not to have inertia, and when disturbances occur in the system frequency, they cannot store energy by converting electrical energy into mechanical energy and therefore cannot be used for frequency regulation. A virtual synchronous machine (VMS) currently widely studied in three-phase systems can be used to solve the frequency oscillation, but its scale is too small, and a frequency modulation method providing a single-phase system is not studied.
Traditional alternating current bus voltage control strategies employ grid voltage orientation, but when a fault occurs, bus voltage control often fails due to system reactive power limitations. If the output reactive power can be controlled, the reactive power is sent out according to the maximum value of the reactive power allowed by the system, and the bus voltage in fault can be supported to a certain extent. Conventional Instantaneous Reactive Power Theory (IRPT) for measuring reactive power also lacks application in single phase systems.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent load flexible multi-target coordination control method based on a power spring.
The invention is realized by the following technical scheme.
According to one aspect of the invention, an intelligent load flexible multi-target coordination control method based on power springs is provided, and comprises the following steps:
establishing a single-phase-locked loop based on Hilbert transformation, wherein the single-phase-locked loop is used for measuring and obtaining system frequency, and the measured system frequency is used for carrying out fixed frequency control subsequently;
based on a single-phase instantaneous reactive power theory, measuring reactive power output by the single-phase ES, and using the measured reactive power for carrying out follow-up constant reactive power control;
designing a fuzzy logic controller, and setting a switching rule of voltage control and constant-reactive power control according to the line condition;
and establishing a control model of a flexible multi-target control strategy based on the power spring, and completing multi-target coordination control on the fixed frequency, the fixed voltage and/or the fixed reactive power of the intelligent load through the control model.
Preferably, the method for establishing the single-phase-locked loop based on the Hilbert transform includes:
the following formula is adopted:
wherein s (t) is the original single-phase signal,
representing the transformed signal, j being an imaginary unit, H representing the Hilbert transform, which is defined as follows:
wherein x (t) represents a signal to be transformed, h (t) represents an impulse response, t represents time, x (tau) represents the signal to be transformed in the form of convolution equivalent integration, and tau represents an independent variable of the convolution equivalent integration;
setting the original single-phase signal as an alpha signal, generating a beta signal through Hilbert conversion, establishing a single-phase-locked loop, and measuring to obtain the system frequency so as to control the subsequent fixed frequency.
Preferably, the method for measuring reactive power output by a single-phase ES based on single-phase instantaneous reactive power theory includes:
the following formula is adopted:
in the formula, qsingleAnd (T) represents the reactive power output by the single-phase ES obtained by measurement, T is a signal period, i (T), and u (T) respectively represent the system voltage and the system current obtained by measurement.
Preferably, the method for designing the fuzzy logic controller to complete the switching between the constant voltage control and the constant reactive power control according to the line condition includes:
firstly normalizing input quantities, namely voltage and current, to [ -1,1], and then performing fuzzification treatment:
in the formula, x is an input value, and the values of the parameters σ and c are shown as the following formula:
wherein SS represents that the value is far smaller than the reference value, S represents that the value is slightly smaller than the reference value, M represents that the value is close to the reference value, L represents that the value is slightly larger than the reference value, and LL represents that the value is far larger than the reference value;
determining the membership degree of the input quantity in each set according to the principle of fuzzy logic and the output values of the input quantity under different membership function;
then, defuzzification is carried out through a maximum membership method, and a control target is selected to be constant reactive power or constant voltage:
v0＝maxμv(v),v∈A
in the formula, muv(v) Representing membership functions, v0Representing the output value, A representing the output set after fuzzy conversion;
finally, setting a fuzzy switching rule according to the offset condition of the voltage and the reactive relative reference value, namely after defuzzification, when the line voltage or the reactive power belongs to an SS set or an LL set, regarding the line voltage or the reactive power as a large offset reference value, switching to fixed reactive control, and compensating more reactive; when the line voltage or the reactive power belongs to S, M or L set, the line voltage or the reactive power is considered to be close to the reference value, and the constant voltage control is switched to keep the voltage stable.
Preferably, the fuzzy switching rule is specifically:
wherein RPT denotes constant reactive power control, VT denotes constant voltage control, Q denotes measured reactive power, and V denotes a measured bus voltage effective value.
Preferably, establishing a control model of the power spring-based flexible multi-target control strategy comprises: setting a PI controller, measuring a single-phase-locked loop (PLL) to obtain system frequency, entering a current inner loop through the PI controller, and controlling the system frequency; and (3) the measured system bus voltage and output reactive power enter a current inner ring through a PI (proportional integral) Controller, and a Fuzzy Logic Controller (Fuzzy Logic Controller) obtained by design is utilized to switch the control target between the voltage and the reactive power, so that the bus voltage stability in a stable state and the rapid recovery of the voltage in a fault state are realized.
Preferably, the method for controlling the model to carry out multi-target coordinated control on the fixed frequency, the fixed voltage and/or the fixed reactive power of the intelligent load comprises the following steps:
a converter (Shunt-ES) which is connected with a power grid and the direct current capacitor and transmits energy to the capacitor is responsible for controlling the voltage stability of the direct current side capacitor; and a current transformer (Series-ES) which is connected with the direct current capacitor and the power grid and transmits energy to the power grid and a load carries out constant frequency control through a d-axis component of a current inner ring, and a q-axis component of the current inner ring carries out switching of constant reactive power control and constant voltage control through a fuzzy logic controller so as to finish multi-target coordination control.
According to another aspect of the invention, a distributed power microgrid system is provided, and the power quality of a power utilization side in a steady state and a transient state is optimized by adopting any one of the intelligent load flexible multi-target coordination control methods based on power springs.
Due to the adoption of the technical scheme, the invention has at least one of the following beneficial effects:
the intelligent load flexible multi-target coordination control method based on the power spring is based on a traditional power spring control method, controls the transient frequency under the fault condition on the basis of realizing the steady-state voltage control, designs the fuzzy logic controller, realizes the switching between the constant-reactive power control and the constant-voltage control according to the line condition and provides better transient voltage response.
Compared with the traditional control method, the intelligent load flexible multi-target coordination control method based on the power spring can reduce voltage and frequency drop during fault, thereby ensuring the power quality of the power utilization side during steady state and transient state.
The intelligent load flexible multi-target coordination control method based on the power spring provided by the invention is more complete and comprehensive in strategy of intelligent load flexible multi-target control, and is particularly suitable for control of single-phase intelligent loads.
The intelligent load flexible multi-target coordination control method based on the power spring has great engineering practical value.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of an intelligent load flexible multi-objective coordination control method based on power springs in a preferred embodiment of the present invention;
fig. 2 is a control block diagram of a single-phase-locked loop built in a preferred embodiment of the present invention;
FIG. 3 is a block diagram of a control model of a flexible multi-target coordination control strategy based on power springs, which is constructed in a preferred embodiment of the invention;
FIG. 4 is a graph of transient frequency response under fault using the method provided by a preferred embodiment of the present invention;
fig. 5 is a transient voltage response diagram under fault implemented by using the method provided by a preferred embodiment of the present invention.
Detailed Description
The following examples illustrate the invention in detail: the embodiment is implemented on the premise of the technical scheme of the invention, and a detailed implementation mode and a specific operation process are given. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
The embodiment of the invention provides an intelligent load flexible multi-target coordination control method based on a power spring. On the basis of a classic voltage control strategy of a power spring, a flexible multi-target coordination control strategy is designed by adopting a Fuzzy Logic (Fuzzy Logic) algorithm, and the frequency quality of a system is improved by adjusting the output frequency through a single-phase-locked loop; the single-phase system instantaneous reactive power theory is provided to measure and control the instantaneous reactive power absorbed by the single-phase ES. The method finally builds the control of three targets of frequency, voltage and reactive power, and switches the control targets according to the line condition through the fuzzy logic controller. The method has practical theoretical significance and popularization value for the micro-grid power quality optimization research of practical engineering.
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of an intelligent load flexible multi-target coordination control method based on a power spring according to an embodiment of the present invention, and as shown in the drawing, the intelligent load flexible multi-target coordination control method based on a power spring according to an embodiment of the present invention includes the following steps:
and step 1), establishing a single-phase-locked loop based on Hilbert transformation, wherein the single-phase-locked loop is used for measuring to obtain system frequency, and the measured system frequency is used for carrying out fixed frequency control subsequently.
As a preferred embodiment, the method of step 1) is:
the following formula is adopted:
wherein s (t) is the original single-phase signal,
representing the transformed signal, j being an imaginary unit, H representing the Hilbert transform, which is defined as follows:
wherein x (t) represents a signal to be transformed, h (t) represents an impulse response, t represents time, x (tau) represents the signal to be transformed in the form of convolution equivalent integration, and tau represents an independent variable of the convolution equivalent integration;
setting the original single-phase signal as an alpha signal, generating a beta signal through Hilbert transformation, establishing a single-phase-locked loop, and measuring to obtain the system frequency and phase angle so as to control the subsequent fixed frequency.
And 2) measuring the reactive power output by the single-phase ES based on a single-phase instantaneous reactive power theory so as to perform constant reactive power control subsequently.
As a preferred embodiment, the method of step 2) is:
the following formula is adopted:
in the formula, qsingleAnd (T) represents the reactive power output by the single-phase ES obtained by measurement, T is a signal period, and u (T), i (T) are the system voltage and the system current obtained by measurement respectively.
And 3) designing a fuzzy logic controller, and finishing a switching rule of constant voltage control and constant reactive power control according to the line condition.
As a preferred embodiment, the method of step 3) is:
firstly normalizing input quantity, namely voltage and current to [ -1,1], and then performing fuzzification treatment, wherein the formula is as follows
In the formula, x is an input value, and the values of the parameters σ and c are shown as the following formula:
wherein SS represents that the value is far smaller than the reference value, S represents that the value is slightly smaller than the reference value, M represents that the value is close to the reference value, L represents that the value is slightly larger than the reference value, and LL represents that the value is far larger than the reference value;
determining the membership degree of the input quantity in each set according to the principle of fuzzy logic and the output values of the input quantity under different membership function; (for example, if the measured voltage value is 0.1 after normalization to [ -1,1], then it has a membership of about 0.82 in set M, 0.043 in set L, and very little in the other sets and is negligible.)
Then, defuzzification is carried out through a maximum membership method, and a control target is selected to be constant reactive power or constant voltage:
v0＝maxμv(v),v∈A
in the formula, muv(v) Representing membership functions, v0Representing the output value, A representing the output set after fuzzy conversion;
finally, setting a fuzzy switching rule according to the offset condition of the voltage and the reactive relative reference value, namely after defuzzification, when the line voltage or the reactive power belongs to an SS set or an LL set, regarding the line voltage or the reactive power as a large offset reference value, switching to fixed reactive control, and compensating more reactive; when the line voltage or the reactive power belongs to S, M or L set, the line voltage or the reactive power is considered to be close to the reference value, and the constant voltage control is switched to keep the voltage stable.
As a preferred embodiment, the specific fuzzy switching rule is shown in the following table:
wherein RPT denotes constant reactive power control, VT denotes constant voltage control, Q denotes measured reactive power, and V denotes a measured bus voltage effective value.
And 4) establishing a control model of a flexible multi-target control strategy based on the power spring, and completing multi-target coordination control on the fixed frequency, the fixed voltage and/or the fixed reactive power of the intelligent load through the control model.
As a preferred embodiment, a control model of a flexible multi-target control strategy based on power springs comprises: setting a PI controller, and enabling system frequency obtained by measuring a single-phase-locked loop (PLL) to enter a current inner loop through the PI controller to control the system frequency; and (3) enabling the measured system bus voltage and output reactive power to enter a current inner ring through a PI (proportional integral) Controller, and switching a control target between voltage and reactive power by using a Fuzzy Logic Controller (Fuzzy Logic Controller) obtained by design, so that the bus voltage stability in a stable state and the rapid recovery of the voltage in a fault state are realized.
As a preferred embodiment, the method for controlling the multi-target coordination control of the model to the constant frequency, the constant voltage and/or the constant reactive power of the intelligent load comprises the following steps:
a converter (Shunt-ES) which is connected with a power grid and the direct current capacitor and transmits energy to the capacitor is responsible for controlling the voltage stability of the direct current side capacitor; and a current transformer (Series-ES) which is connected with the direct current capacitor and the power grid and transmits energy to the power grid and a load carries out constant frequency control through a d-axis component of a current inner ring, and a q-axis component of the current inner ring carries out switching of constant reactive power control and constant voltage control through a fuzzy logic controller so as to finish multi-target coordination control.
Fig. 2 is a control block diagram of a single-phase-locked loop according to an embodiment of the present invention, and fig. 3 is a control model block diagram of a flexible multi-target coordination control strategy based on a power spring according to an embodiment of the present invention. Fig. 4 and fig. 5 respectively show the transient frequency response and the transient voltage response of the system under a fault when the control method provided by the embodiment of the invention is used, which verifies that the method provided by the embodiment of the invention can significantly reduce the frequency and voltage shift during a transient state and improve the transient response.
Based on the intelligent load flexible multi-target coordination control method based on the power spring, the embodiment of the invention also provides a distributed power microgrid system, and the system adopts the intelligent load flexible multi-target coordination control method based on the power spring to optimize the power quality of the power utilization side in steady state and transient state.
The intelligent load flexible multi-target coordination control method based on the power spring provided by the embodiment of the invention aims at the problem of electric energy quality at the demand side of a micro-grid, controls the transient frequency under the fault condition on the basis of realizing steady-state voltage control based on the traditional power spring control method, designs the fuzzy logic controller, realizes the switching between fixed reactive power control and fixed voltage control according to the line condition, and provides better transient voltage response. Compared with the traditional control method, the invention can reduce the voltage and frequency drop during the fault, thereby ensuring the electric energy quality of the electricity utilization side during the steady state and the transient state. The control method is more complete and comprehensive, and is particularly suitable for controlling the single-phase intelligent load.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An intelligent load flexible multi-target coordination control method based on a power spring is characterized by comprising the following steps:
establishing a single-phase-locked loop based on Hilbert transformation, wherein the single-phase-locked loop is used for measuring and obtaining system frequency, and the measured system frequency is used for carrying out fixed frequency control subsequently;
based on a single-phase instantaneous reactive power theory, measuring reactive power output by the single-phase ES, and using the measured reactive power for carrying out follow-up constant reactive power control;
designing a fuzzy logic controller, and setting a switching rule of voltage control and constant-reactive power control according to the line condition;
and establishing a control model of a flexible multi-target control strategy based on the power spring, and completing multi-target coordination control on the fixed frequency, the fixed voltage and/or the fixed reactive power of the intelligent load through the control model.
2. The power spring-based intelligent load flexible multi-target coordination control method according to claim 1, wherein the method for establishing the single-phase-locked loop based on the Hilbert transform comprises the following steps:
the following formula is adopted:
wherein s (t) is the original single-phase signal,
representing the transformed signal, j being an imaginary unit, H representing the Hilbert transform, which is defined as follows:
wherein x (t) represents a signal to be transformed, h (t) represents an impulse response, t represents time, x (tau) represents the signal to be transformed in the form of convolution equivalent integration, and tau represents an independent variable of the convolution equivalent integration;
setting the original single-phase signal as an alpha signal, generating a beta signal through Hilbert transformation, establishing a single-phase-locked loop, and measuring to obtain the system frequency and phase angle so as to control the subsequent fixed frequency.
3. The power spring-based intelligent load flexible multi-target coordination control method according to claim 1, wherein the method for measuring reactive power output by a single-phase ES based on a single-phase instantaneous reactive power theory comprises the following steps:
the following formula is adopted:
in the formula, qsingleAnd (T) represents the reactive power output by the single-phase ES obtained by measurement, T is a signal period, i (T), and u (T) respectively represent the system voltage and the system current obtained by measurement.
4. The power spring-based intelligent load flexible multi-target coordination control method according to claim 1, wherein the method for designing the fuzzy logic controller to complete the switching rule of constant voltage control and constant reactive power control according to the line condition comprises the following steps:
firstly, normalizing input quantities, namely voltage and reactive power to [ -1,1], and then performing fuzzification treatment:
in the formula, x is an input value, and the values of the parameters σ and c are shown as the following formula:
wherein SS represents that the value is far smaller than the reference value, S represents that the value is slightly smaller than the reference value, M represents that the value is close to the reference value, L represents that the value is slightly larger than the reference value, and LL represents that the value is far larger than the reference value;
determining the membership degree of the input quantity in each set according to the principle of fuzzy logic and the output values of the input quantity under different membership function;
then, defuzzification is carried out through a maximum membership method, and a control target is selected to be constant reactive power or constant voltage:
v0＝maxμv(v),v∈A
in the formula, muv(v) Representing membership functions, v0Representing the output value, A representing the output set after fuzzy conversion;
finally, setting a fuzzy switching rule according to the offset condition of the voltage and the reactive relative reference value, namely after defuzzification, when the line voltage or the reactive power belongs to an SS set or an LL set, regarding the line voltage or the reactive power as a large offset reference value, switching to fixed reactive control, and compensating more reactive; when the line voltage or the reactive power belongs to S, M or L set, the line voltage or the reactive power is considered to be close to the reference value, and the constant voltage control is switched to keep the voltage stable.
5. The power spring-based intelligent load flexible multi-target coordination control method according to claim 1, wherein the fuzzy switching rule is as follows:
wherein RPT denotes constant reactive power control, VT denotes constant voltage control, Q denotes measured reactive power, and V denotes a measured bus voltage effective value.
6. The power spring-based intelligent load flexible multi-target coordination control method according to claim 1, wherein the established control model of the power spring-based flexible multi-target control strategy comprises: setting a PI controller, entering a current inner ring through the PI controller to control the system frequency obtained by measuring the single-phase-locked loop; and the measured system bus voltage and output reactive power enter a current inner ring through a PI controller, and a fuzzy logic controller obtained by design is utilized to switch the control target between the voltage and the reactive power, so that the bus voltage stability in a stable state and the rapid recovery of the voltage in a fault state are realized.
7. A power spring-based intelligent load flexible multi-target coordination control method according to claim 6, wherein the method for controlling the model to carry out multi-target coordination control on the fixed frequency, the fixed voltage and/or the fixed reactive power of the intelligent load comprises the following steps:
the converter is connected with the power grid and the direct current capacitor and used for transmitting energy to the capacitor and controlling the voltage stability of the direct current side capacitor; and the direct-current capacitor is connected with a power grid, energy is transmitted to a converter of the power grid and a load, fixed frequency control is carried out through a d-axis component of the current inner ring, and fixed reactive power control and fixed voltage control are switched through a fuzzy logic controller through a q-axis component of the current inner ring, so that multi-target coordination control is completed.
8. A distributed power microgrid system is characterized in that the power quality of a power utilization side in a steady state and a transient state is optimized by adopting the intelligent load flexible multi-target coordination control method based on power springs as claimed in any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113809732A (en) * | 2021-09-22 | 2021-12-17 | 电子科技大学 | Distributed direct-current intelligent load virtual inertia control method |
| CN113872242A (en) * | 2021-10-26 | 2021-12-31 | 华北电力科学研究院有限责任公司 | Active power distribution network energy optimization method and device adopting power spring |
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