CN117595265A - Filtering parameter intelligent setting method and device for active power filter - Google Patents
Filtering parameter intelligent setting method and device for active power filter Download PDFInfo
- Publication number
- CN117595265A CN117595265A CN202410070420.0A CN202410070420A CN117595265A CN 117595265 A CN117595265 A CN 117595265A CN 202410070420 A CN202410070420 A CN 202410070420A CN 117595265 A CN117595265 A CN 117595265A
- Authority
- CN
- China
- Prior art keywords
- current
- subharmonic
- phase load
- active power
- power filter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000001914 filtration Methods 0.000 title claims abstract description 29
- 238000011156 evaluation Methods 0.000 claims description 36
- 238000004364 calculation method Methods 0.000 claims description 20
- 230000005484 gravity Effects 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 12
- 238000011282 treatment Methods 0.000 claims description 7
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 description 6
- 238000003199 nucleic acid amplification method Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000003321 amplification Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 101000931660 Malus baccata var. xiaojinensis Ferritin, chloroplastic Proteins 0.000 description 1
- 101150092692 apf2 gene Proteins 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 238000011369 optimal treatment Methods 0.000 description 1
- 238000005067 remediation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- 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
- H02J3/01—Arrangements for reducing harmonics or ripples
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
- G01R19/16571—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing AC or DC current with one threshold, e.g. load current, over-current, surge current or fault current
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/048—Fuzzy inferencing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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
- Y02E40/20—Active power filtering [APF]
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- Fuzzy Systems (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Automation & Control Theory (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention belongs to the technical field of power, and discloses a method and a device for intelligently setting filtering parameters of an active power filter, wherein the method comprises the following steps: calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time; determining each subharmonic current to be treated based on the total current of the three-phase load and each subharmonic current of the three-phase load; calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet; determining compensation gains of the subharmonic currents to be treated based on the duty ratio of the subharmonic currents to be treated in the active power filter cabinet capacity and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene. The invention can dynamically track the load and dynamically treat the load by calculating the load current information in real time and setting the filtering parameters again.
Description
Technical Field
The application relates to the technical field of power, in particular to a method and a device for intelligently setting filtering parameters of an active power filter.
Background
An active power filter (APF: active Power Filter) is a filtering device used in a power system. The method is mainly used for reducing or eliminating the problems of harmonic waves, power factor distortion and the like in the power system. The main application of the active power filter is an industrial power grid containing a large amount of nonlinear loads, and harmonic components and contents are different in different power grid environments, and even in the same power grid, the harmonic components and contents are different at different times. How to track load changes in real time and dynamically adjust harmonic compensation parameters organically according to standard regulations on allowable values of current of each subharmonic in a power grid is always the subject of research in the industry.
In theory, for the distribution of current harmonic components and contents in a power grid, when an active power filter is used for treatment, only corresponding settings are needed (namely, the compensation times and the compensation gains are set), but in practical application, the load types are complex, when the active power filter is applied under working conditions such as harmonic amplification type load, rapid change type load and the like, the active power filter cannot dynamically track the change of the load and the harmonic treatment effect cannot be expected only by using general control algorithms such as PI control (pro-port-Integral Controller), repeated control and the like, and at the moment, debugging personnel are generally required to continuously try and adjust according to experience and site load conditions, so that the device achieves the optimal treatment effect. The cost of labor, time and travel costs for personnel on site can add to the cost of the product in a variable manner. In order to reduce the cost, improve the debugging efficiency of field personnel and realize the rapid and accurate treatment under different working condition load environments, a novel solution for intelligently setting the filtering parameters of an active power filter under the power grid environment is required to be provided.
Disclosure of Invention
The invention mainly aims to provide a method and a device for intelligently setting filtering parameters of an active power filter, which aim at the technical problems that the existing active power filter cannot intelligently set the filtering parameters, so that the field debugging cost is excessive and even the harmonic treatment effect cannot reach the expected phenomenon.
In order to achieve the above object, a first aspect of the present invention provides a method for intelligently setting a filtering parameter of an active power filter, including:
calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time;
calculating the proportion that the actual value of each subharmonic current exceeds the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load;
calculating the duty ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to each subharmonic current of the three-phase load and the total current of the three-phase load;
calculating a comprehensive evaluation value of each subharmonic current based on the proportion of each subharmonic current actual value exceeding the corresponding allowable value and the proportion of each subharmonic current of the three-phase load in the total current of the three-phase load;
the comprehensive evaluation values are ordered in descending order, and the first N harmonic currents are taken as subharmonic currents to be treated;
Calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet;
determining compensation gains of the subharmonic currents to be treated based on the duty ratio of the subharmonic currents to be treated in the active power filter cabinet capacity and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene.
Further, after the step of determining the compensation gain of each subharmonic current to be treated based on the duty ratio of each subharmonic current to be treated in the active power filter cabinet capacity and the preset fuzzy rule, the method further comprises the following steps:
and adjusting the filtering parameters according to the compensation gain of each subharmonic current to be treated.
Further, the step of calculating the proportion of the actual value of each subharmonic current exceeding the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load comprises the following steps:
calculating the proportion of the actual value of each subharmonic current exceeding the corresponding allowable value according to the formula (1):
（1）
wherein,，/>representing harmonic order>Representing i-th harmonic current,/>Representing the allowable value of the i-th harmonic current,/th harmonic current >For a preset coefficient->The specific gravity of the actual value of the i-th harmonic current exceeding the corresponding allowable value is given.
Further, the saidThe value of (2) is 0.9.
Further, the step of calculating the duty ratio of each subharmonic current of the three-phase load in the three-phase load total current according to each subharmonic current of the three-phase load and the three-phase load total current comprises the following steps:
calculating the ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to the formula (2):
（2）
wherein,representing harmonic order>Representing i-th harmonic current,/>Representing the total current of the three-phase load +.>Representing the duty ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load.
Further, the step of calculating the comprehensive evaluation value of each subharmonic current based on the proportion of each subharmonic current actual value exceeding the corresponding allowable value and the proportion of each subharmonic current of the three-phase load in the total current of the three-phase load comprises the following steps:
calculating a comprehensive evaluation value of each subharmonic current according to the formula (3):
（3）
wherein,representing the specific gravity of the actual value of the i-subharmonic current exceeding its corresponding allowable value,/>Representing the ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load, +.>The integrated evaluation value of the i-th harmonic current is shown.
Further, the step of calculating the duty ratio of each subharmonic current to be managed in the active power filter cabinet capacity includes:
calculating the ratio of the subharmonic current to be treated in the capacity of the active power filter cabinet according to the formula (4):
（4）
wherein,representing harmonic order>Representing i-th harmonic current,/>Representing the active power filter cabinet capacity, +.>Representing the duty cycle of the i-th harmonic current of the required abatement in the active power filter cabinet capacity.
Further, the step of determining the compensation gain of each subharmonic current to be treated based on the duty ratio of each subharmonic current to be treated in the active power filter cabinet capacity and a preset fuzzy rule comprises the following steps:
the compensation gain for each harmonic current to be managed is determined as follows:
taking the duty ratio of the harmonic current to be treated in the capacity of the active power filter cabinet as the input of the fuzzy controller;
converting the input duty ratio into a fuzzy set; the fuzzy set is set based on actual application data of the active power filter in the field and load characteristic data in an application scene;
based on the fuzzy set and the fuzzy rule, performing fuzzy reasoning by adopting a maximum and minimum method to obtain a reasoning result;
And carrying out inverse blurring treatment on the reasoning result to obtain the compensation gain of the harmonic current to be treated.
In a second aspect, the present application provides a filtering parameter intelligent tuning device for an active power filter, including:
the first calculation module is used for calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time;
the second calculation module is used for calculating the proportion that the actual value of each subharmonic current exceeds the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load;
the third calculation module is used for calculating the duty ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to each subharmonic current of the three-phase load and the total current of the three-phase load;
a fourth calculation module, configured to calculate a comprehensive evaluation value of each subharmonic current based on a specific gravity of each subharmonic current actual value exceeding a corresponding allowable value and a duty ratio of each subharmonic current of the three-phase load in a total current of the three-phase load;
the sequencing module is used for sequencing the comprehensive evaluation values in a descending order, and taking the first N harmonic currents as subharmonic currents required to be treated;
the fifth calculation module is used for calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet;
The sixth calculation module is used for determining the compensation gain of each subharmonic current required to be treated based on the ratio of each subharmonic current required to be treated in the capacity of the active power filter cabinet and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene.
In a third aspect, an embodiment of the present application provides an active power filter, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method for intelligently setting a filtering parameter of the active power filter according to any one of the foregoing when the processor executes the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of a method for intelligently setting filter parameters for an active power filter as described in any one of the above.
The beneficial effects are that: the invention provides a method for intelligently setting filtering parameters of an active power filter, which comprises the following steps:
calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time; calculating the proportion that the actual value of each subharmonic current exceeds the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load; calculating the duty ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to each subharmonic current of the three-phase load and the total current of the three-phase load; calculating a comprehensive evaluation value of each subharmonic current based on the proportion of each subharmonic current actual value exceeding the corresponding allowable value and the proportion of each subharmonic current of the three-phase load in the total current of the three-phase load; the comprehensive evaluation values are ordered in descending order, and the first N harmonic currents are taken as subharmonic currents to be treated; calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet; determining compensation gains of the subharmonic currents to be treated based on the duty ratio of the subharmonic currents to be treated in the active power filter cabinet capacity and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene. The whole process of the invention is calculated in real time and regulated in real time, the intelligent regulation method is helpful for ensuring that the harmonic problem of the power system is effectively solved, meets the standard requirement, and can dynamically track the load and dynamically treat the load by calculating the load current information in real time and setting the filtering parameters again. By the method, the work task of field debugging personnel is reduced, the whole debugging efficiency is improved, and the debugging cost is reduced. In addition, the invention fully considers the standard allowable value, the load characteristic and the data accumulated in the industry, and compared with a mode of manually setting parameters, the invention can set the filtering parameters more reasonably, more efficiently and more intelligently so as to ensure that the compensation effect of the equipment is best.
Drawings
FIG. 1 is a schematic flow chart of a method for intelligently setting filter parameters of an active power filter;
fig. 2 is a schematic wiring diagram of 3 groups of CT hanging load sides when an APF filter cabinet provided in an embodiment of the present invention is connected in parallel to a power grid;
fig. 3 is a schematic diagram of a device for intelligently setting filtering parameters of an active power filter according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, modules, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any module and all combination of one or more of the associated listed items.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The embodiment of the invention provides a method for intelligently setting filtering parameters of an active power filter, which comprises steps S1-S7, as shown in FIG. 1. Before the method is implemented, the active power filters are required to be connected into the power grid in parallel, and the capacity of a single active power filter is small, so that the capacity is required to be increased by a mode that a plurality of active power filters are connected in parallel. The active power filter cabinet is a cabinet for placing a plurality of active power filters in parallel. Thus, the active power filter cabinets are actually connected in parallel to the grid. In addition, a group of current transformers (CT: current Transformer) are respectively installed on the a/B/C three phases on the load side, the collected signals are connected to Active Power Filters (APFs), as shown in fig. 2, only two active power filters, APF1 and APF2, are included in the active power filter cabinet, but the invention is not limited to two, and the invention is specifically set according to practical situations, and the capacity of the filter cabinet is configured according to the harmonic current content contained in the rear load in general field application, and the unit of the capacity is ampere (a). In fig. 2, S1 and S2 are polarity representations of current transformers (CT: current Transformer), a in the drawing is an a-phase power line of three-phase power lines, B is a B-phase power line of three-phase power lines, C is a C-phase power line of three-phase power lines, N is a neutral line, and ct_ A, CT _ B, CT _c are interfaces on APF. In addition, it should be noted that, since the active power filter itself supports switching between a three-phase three-wire system and a three-phase four-wire system, the present invention is described only by taking a three-phase four-wire system as an example, and the method of the present invention is equally applicable to a three-phase three-wire system.
S1, calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time.
In step S1, specifically, three-phase load current signals are detected in real time by the external 3 sets of current transformers (CT: current Transformer), and it should be noted that the three-phase load current signals refer to current signals of three-phase loads. And then the active power filter calculates the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signal detected in real time. The total current of the three-phase load refers to the total current of the three-phase load, and the subharmonic current of the three-phase load refers to the subharmonic current of the three-phase load. Harmonic current refers to a current component of an integer multiple of frequency other than the fundamental frequency current in an electric power system. And calculating the total current of the three-phase load, namely calculating the total current of the three-phase load, and calculating the subharmonic currents of the three-phase load, namely calculating the subharmonic currents of the three-phase load.
S2, calculating the proportion that the actual value of each subharmonic current exceeds the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load.
In step S2, each subharmonic current of the three-phase load detected in real time is an actual value of each subharmonic current of the three-phase load, each subharmonic current actual value refers to an actual value of each subharmonic current, and each subharmonic current allowable value refers to an allowable value of each subharmonic current. The allowable value of each subharmonic current is preset, specifically, the allowable value of each subharmonic current in national standard, namely, the allowable value corresponding to each subharmonic current is the allowable value specified by the national standard. The allowable values corresponding to the harmonic currents are set to be allowable values specified by the national standard, so that the allowable values meet the national standard.
S3, calculating the duty ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to each subharmonic current of the three-phase load and the total current of the three-phase load.
S4, calculating comprehensive evaluation values of the sub-harmonic currents based on the proportion of the actual values of the sub-harmonic currents exceeding the corresponding allowable values and the proportion of the three-phase load sub-harmonic currents in the three-phase load total current.
In step S4, the integrated evaluation value is used to determine the harmonic current to be treated. Harmonic current is a generic term that refers to a current component of an integer multiple of frequency in addition to fundamental frequency current in an electrical power system. Thus, determining the harmonic currents to be treated refers to determining which specific harmonic currents are to be treated, i.e. which harmonic current components are to be treated. For example, whether 2-harmonic current or 3-harmonic current or 5-harmonic current needs to be managed, and so on.
S5, sorting the comprehensive evaluation values in a descending order, and taking the first N harmonic currents as subharmonic currents required to be treated.
In step S5, the comprehensive evaluation values are sorted in descending order, that is, the comprehensive evaluation value sorted earlier is larger than the comprehensive evaluation value sorted later, whereby the harmonic current components to be managed can be easily screened out. The value range of N is 0-49, and the value depends on how many harmonic currents (components) in the 2-50 harmonic range exceed the corresponding allowable values. It should be noted that the actual power supply of the back-end load may generate more or less harmonic currents, which may return to the power grid and then affect the normal use of other devices in the power grid. Therefore, an active power filter needs to be added between the power grid and the load transmission line to output a reverse harmonic current so as to offset the harmonic current generated by the load. This process is called harmonic remediation.
S6, calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet.
In step S6, the active power filter cabinet capacity refers to the capacity of active power filtering, which is determined according to the capacity of each active power filter in the active power filter cabinet, where each active power filter in the active power filter cabinet is connected in parallel.
S7, determining compensation gains of the subharmonic currents to be treated based on the duty ratio of the subharmonic currents to be treated in the active power filter cabinet capacity and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene.
The compensation gain in step S7 is a filtering parameter. The fuzzy rule is a rule according to which fuzzy control is performed, and the fuzzy control is a control method based on a fuzzy logic principle and is used for processing complex and nonlinear systems. Compared with the traditional accurate mathematical model or classical control method, the fuzzy control has stronger adaptability and robustness, and can be controlled in an uncertain or fuzzy environment. The core idea of fuzzy control is to introduce fuzzy sets and fuzzy rules to handle the ambiguity or uncertainty of the system. The fuzzy inference method comprises the steps of mapping input variables and output variables onto a fuzzy set, performing fuzzy inference on the input variables by using fuzzy rules, and calculating control output according to an inference result. The fuzzy rule is specifically set based on actual application data of the existing active power filter in the field and load characteristic data in an application scene, and the existing active power filter refers to an active power filter which is actually applied to the field, namely, an active power filter which does not adopt the method of the invention. The actual application data comprise power grid voltage and power grid current data of the power grid side and load current data of the load side of the active power filter before and after the active power filter is put into operation on site, and corresponding compensation gain (filtering parameter) setting data. Load characteristic data refers to data describing behavior characteristics of a load in an electrical power system over time or other conditions. The load characteristics are roughly classified into 3 kinds, namely, a normal load, a rapid-change load, and a harmonic-amplification load. The load characteristic data concern how the waveform varies with the total current and the harmonic currents after the active power filter is turned on or at different times for each load at the end. The actual application data is more concerned about the change of the total output current of the power grid side and the filter cabinet. In addition, the fuzzy rule can be adjusted according to the running condition of the site.
The whole process of the invention is calculated in real time and regulated in real time, the intelligent regulation method is helpful for ensuring that the harmonic problem of the power system is effectively solved, meets the standard requirement, and can dynamically track the load and dynamically treat the load by calculating the load current information in real time and setting the filtering parameters again. By the method, the work task of field debugging personnel is reduced, the whole debugging efficiency is improved, and the debugging cost is reduced. In addition, the invention fully considers the standard allowable value, the load characteristic and the data accumulated in industry, and compared with a mode of manually setting parameters, the invention can set the filtering parameters more reasonably, more efficiently and more intelligently so as to ensure that the compensation effect of the equipment is best.
In one embodiment, the step of calculating the specific gravity of the actual value of each subharmonic current exceeding the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load comprises the following steps:
calculating the proportion of the actual value of each subharmonic current exceeding the corresponding allowable value according to the formula (1):
（1）
wherein,，/>representing harmonic order>Representing i-th harmonic current,/>Representing the allowable value of the i-th harmonic current,/th harmonic current>For a preset coefficient- >The specific gravity of the actual value of the i-th harmonic current exceeding the corresponding allowable value is given.
In the embodiment of the invention, the actual value of each subharmonic current exceeding the specific gravity of the corresponding allowable value can be calculated by substituting each subharmonic current and the allowable value corresponding to each subharmonic current into the formula. For example, the 2 nd harmonic current2 th harmonic current enable value +.>Substituting the above formula (1) to obtain the proportion of the actual value of the 2 nd harmonic current exceeding the corresponding allowable value>. For another example, the 3 rd harmonic current +.>3 rd harmonic current enable value +.>Substituting the above formula (1) to obtain the specific gravity of the 3 rd harmonic current actual value exceeding the corresponding allowable value>。
In one embodiment, theThe value of (2) is 0.9.
In the embodiment of the present application, it should be noted that the above formula (1) is multiplied byThe method is used for better identifying the harmonic wave near the (national standard) allowable value, eliminating the interference of sampling fluctuation and improving the compensation effect. Said->The value of (2) is preferably 0.9, but is not limited to 0.9, and may be a value around 0.9.
In an embodiment, the calculating the ratio of the three-phase load subharmonic current to the three-phase load total current according to the three-phase load subharmonic current and the three-phase load total current includes:
Calculating the ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to the formula (2):
（2）
wherein,representing harmonic order>Representing the i-order harmonic current，/>Representing the total current of the three-phase load +.>Representing the duty ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load.
In the embodiment of the application, the ratio of each subharmonic current of the three-phase load to the total current of the three-phase load can be calculated by substituting each subharmonic current of the three-phase load into the above formula (2). For example, the 2 nd harmonic currentTotal current of three-phase load->With the formula (2), the ratio of the 2 nd harmonic current of the three-phase load to the total current of the three-phase load can be calculated to be +.>. For another example, the 3 rd harmonic current +.>Total current of three-phase load->With the formula (2), the ratio of the 3 rd harmonic current of the three-phase load to the total current of the three-phase load can be calculated to be +.>。
In one embodiment, the calculating the comprehensive evaluation value of each subharmonic current based on the proportion of each subharmonic current exceeding the corresponding allowable value and the proportion of each subharmonic current of the three-phase load in the total current of the three-phase load comprises:
calculating a comprehensive evaluation value of each subharmonic current according to the formula (3):
（3）
Wherein,representing the specific gravity of the actual value of the i-subharmonic current exceeding its corresponding allowable value,/>Representing the ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load, +.>The integrated evaluation value of the i-th harmonic current is shown.
In the embodiment of the application, the ratio of the actual value of the i-th harmonic current exceeding the corresponding allowable value is multiplied by the ratio of the i-th harmonic current of the three-phase load to the total current of the three-phase load to obtain the comprehensive evaluation value of the i-th harmonic current by calculation, namely, the values obtained by calculation in the formula (1) and the formula (2) are multiplied to obtain the comprehensive evaluation value of the i-th harmonic current. For example, the specific gravity of the actual value of the 2 nd harmonic current exceeding the corresponding allowable valueAnd the ratio of the 2 nd harmonic current of the three-phase load in the total current of the three-phase load +.>Substituting the above formula (3), the comprehensive evaluation value of 2 nd harmonic current can be calculated>. Specific gravity of the actual value of the 3 rd harmonic current exceeding the corresponding allowable value thereof +.>And the ratio of the 3 rd harmonic current of the three-phase load in the total current of the three-phase load +.>Substituting the above formula (3), the comprehensive evaluation value of the 3 rd harmonic current can be calculated。
According to the invention, the comprehensive evaluation values of the harmonic currents are calculated, so that harmonic current components to be treated can be screened out according to the comprehensive evaluation values.
In one embodiment, the step of calculating the duty ratio of each subharmonic current to be treated in the active power filter cabinet capacity comprises:
calculating the ratio of the subharmonic current to be treated in the capacity of the active power filter cabinet according to the formula (4):
（4）
wherein,representing harmonic order>Representing i-th harmonic current,/>Representing the active power filter cabinet capacity, +.>Representing the duty cycle of the i-th harmonic current of the required abatement in the active power filter cabinet capacity.
In the present embodiment, assuming that the harmonic current components to be treated have 5 th harmonic current and 7 th harmonic current, the 5 th harmonic current will beActive power filter cabinet capacity +.>Substituting the formula (4) to obtain the duty ratio of the 5 th harmonic current in the capacity of the active power filter cabinet>. The 7 th harmonic current->Active power filter cabinet capacity +.>Substituting the formula (4) to obtain the ratio of 7-harmonic current in the capacity of the active power filter cabinet>。
In one embodiment, the step of determining the compensation gain of each subharmonic current to be treated based on the ratio of each subharmonic current to be treated in the active power filter cabinet capacity and a preset fuzzy rule includes:
The compensation gain for each harmonic current to be managed is determined as follows:
s71, taking the duty ratio of harmonic current to be treated in the capacity of an active power filter cabinet as the input of a fuzzy controller;
s72, converting the input duty ratio into a fuzzy set; the fuzzy set is set based on actual application data of the active power filter in the field and load characteristic data in an application scene;
s73, based on the fuzzy set and the fuzzy rule, performing fuzzy reasoning by adopting a maximum and minimum method to obtain a reasoning result;
s74, performing inverse blurring processing on the reasoning result to obtain the compensation gain of the harmonic current to be treated.
In the embodiment of the application, for each harmonic current (for example, 5 th harmonic current and 7 th harmonic current) to be treated, the corresponding compensation gain can be obtained by inputting the duty ratio (hereinafter referred to as the duty ratio) of the harmonic current in the active power filter cabinet capacity into the fuzzy controller and executing steps S71-S74 through the fuzzy controller. It should be noted that, before executing the above steps S71-S74, a set of fuzzy sets, such as "small", "medium and large", "large", etc., are required to be predefined to describe the duty ratio (the duty ratio of the harmonic power in the capacity of the active power filter cabinet) and the compensation gain, where the fuzzy sets may be obtained by analyzing the actual application data and the load characteristic data of the active power filter, and then creating a rule base according to the collected actual application data of the active power filter in multiple fields such as lithium battery, photovoltaic cell, chemical industry, metallurgy, etc., and combining the load characteristic data in different fields, where the rules in the rule base are fuzzy rules, and these rules determine the magnitude of the compensation gain according to the input harmonic current duty ratio. Some examples of fuzzy rules: (1) under the conventional load, if the ratio of the current exceeding 2 times of harmonic waves is larger than 0.8, the capacity of the active filter cabinet can be judged to be smaller than the harmonic wave current of the load, and the current with larger content is preferentially compensated. At this time, the harmonic current compensation gain with a large content is 120%, the content is 100% with a large content, and the content is 80%, the content is 60% with a small content, and the content is 40%. (2) Under the conventional load, if the duty ratio of each subharmonic current compensation gain is within 0.45, the capacity of the active filter cabinet can be judged to meet the harmonic current content which is actually required to be managed, and then each subharmonic current compensation gain is 100%. (3) Under harmonic amplification load, the compensation gain is set to 120% by not allowing more than 2 times of harmonic current. The above are only examples of the fuzzy rules of the present invention, and are not limited to these fuzzy rules, and the fuzzy rules are set according to actual situations. After the fuzzy set and the fuzzy rule are set, based on the harmonic current input to the fuzzy controller, the compensation gain corresponding to the harmonic current can be obtained through fuzzy reasoning and anti-fuzzy processing. In the fuzzy control, some thresholds are required to be preset so as to map the duty ratio of the harmonic current in the capacity of the active power filter cabinet to the fuzzy set, and the thresholds are set by combining actual application data of the active power filter in the field and load characteristic data in the application scene.
In a second aspect, an embodiment of the present application provides a filtering parameter intelligent tuning device for an active power filter, as shown in fig. 3, including:
the first calculation module 1 is used for calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time;
the second calculation module 2 is used for calculating the proportion that the actual value of each subharmonic current exceeds the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load;
the third calculation module 3 is used for calculating the duty ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to each subharmonic current of the three-phase load and the total current of the three-phase load;
a fourth calculation module 4, configured to calculate a comprehensive evaluation value of each subharmonic current based on a specific gravity of each subharmonic current actual value exceeding its corresponding allowable value and a ratio of each subharmonic current of the three-phase load in the total current of the three-phase load;
the sequencing module 5 is used for sequencing the comprehensive evaluation values in a descending order, and taking the first N harmonic currents as subharmonic currents required to be treated;
the fifth calculation module 6 is used for calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet;
The sixth calculation module 7 is used for determining the compensation gain of each subharmonic current required to be treated based on the duty ratio of each subharmonic current required to be treated in the capacity of the active power filter cabinet and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene.
In one embodiment, the calculating the actual value of each subharmonic current beyond its corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load comprises:
calculating the proportion of the actual value of each subharmonic current exceeding the corresponding allowable value according to the formula (1):
（1）
wherein,，/>representing harmonic order>Representing i-th harmonic current,/>Representing the allowable value of the i-th harmonic current,/th harmonic current>For a preset coefficient->The specific gravity of the actual value of the i-th harmonic current exceeding the corresponding allowable value is given.
In some embodiments, theThe value of (2) is 0.9.
In an embodiment, the calculating the ratio of the three-phase load subharmonic current to the three-phase load total current according to the three-phase load subharmonic current and the three-phase load total current includes:
calculating the ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to the formula (2):
（2）
Wherein,representing harmonic order>Representing i-th harmonic current,/>Representing the total current of the three-phase load +.>Representing the duty ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load.
In one embodiment, the calculating the comprehensive evaluation value of each subharmonic current based on the proportion of each subharmonic current exceeding the corresponding allowable value and the proportion of each subharmonic current of the three-phase load in the total current of the three-phase load comprises:
calculating a comprehensive evaluation value of each subharmonic current according to the formula (3):
（3）
wherein,representing the specific gravity of the actual value of the i-subharmonic current exceeding its corresponding allowable value,/>Representing the ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load, +.>The integrated evaluation value of the i-th harmonic current is shown.
In one embodiment, the calculating the duty ratio of the harmonic currents to be treated in the active power filter cabinet capacity comprises:
calculating the ratio of the subharmonic current to be treated in the capacity of the active power filter cabinet according to the formula (4):
（4）
wherein,representing harmonic order>Representing i-th harmonic current,/>Representing the active power filter cabinet capacity, +.>Representing the duty cycle of the i-th harmonic current of the required abatement in the active power filter cabinet capacity.
In an embodiment, the determining the compensation gain of the subharmonic current required to be treated based on the duty ratio of the subharmonic current required to be treated in the active power filter cabinet capacity and a preset fuzzy rule includes:
the compensation gain for each harmonic current to be managed is determined as follows:
taking the duty ratio of the harmonic current to be treated in the capacity of the active power filter cabinet as the input of the fuzzy controller;
converting the input duty ratio into a fuzzy set; the fuzzy set is set based on actual application data of the active power filter in the field and load characteristic data in an application scene;
based on the fuzzy set and the fuzzy rule, performing fuzzy reasoning by adopting a maximum and minimum method to obtain a reasoning result;
and carrying out inverse blurring treatment on the reasoning result to obtain the compensation gain of the harmonic current to be treated.
The embodiment of the invention also provides a novel active power filter, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the intelligent setting method for the filtering parameters of the active power filter when executing the computer program.
An embodiment of the present application further provides a computer readable storage medium, on which a computer program is stored, where the computer program when executed by a processor implements a method for intelligently adjusting a filtering parameter of an active power filter, where the method for intelligently adjusting a filtering parameter of an active power filter includes the steps described in the foregoing embodiment. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the descriptions and drawings of the present invention or directly or indirectly applied to other related technical fields are included in the scope of the invention.
Claims (10)
1. An intelligent setting method for filtering parameters of an active power filter is characterized by comprising the following steps:
calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time;
Calculating the proportion that the actual value of each subharmonic current exceeds the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load;
calculating the duty ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to each subharmonic current of the three-phase load and the total current of the three-phase load;
calculating a comprehensive evaluation value of each subharmonic current based on the proportion of each subharmonic current actual value exceeding the corresponding allowable value and the proportion of each subharmonic current of the three-phase load in the total current of the three-phase load;
the comprehensive evaluation values are ordered in descending order, and the first N harmonic currents are taken as subharmonic currents to be treated;
calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet;
determining compensation gains of the subharmonic currents to be treated based on the duty ratio of the subharmonic currents to be treated in the active power filter cabinet capacity and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene.
2. The method for intelligently setting filter parameters of an active power filter according to claim 1, wherein the step of calculating the specific gravity of each subharmonic current actual value exceeding its corresponding allowable value according to each subharmonic current of the three-phase load and each subharmonic current allowable value comprises:
Calculating the proportion of the actual value of each subharmonic current exceeding the corresponding allowable value according to the formula (1):
(1)
wherein,，/>representing harmonic order>Representing i-th harmonic current,/>Indicating the allowable value of the i-th harmonic current,for a preset coefficient->The specific gravity of the actual value of the i-th harmonic current exceeding the corresponding allowable value is given.
3. The method for intelligently setting filter parameters of an active power filter according to claim 2, wherein the method comprises the steps ofThe value of (2) is 0.9.
4. The method for intelligently setting filter parameters of an active power filter according to claim 1, wherein the step of calculating the duty ratio of each harmonic current of the three-phase load in the three-phase load total current from each harmonic current of the three-phase load and the three-phase load total current comprises:
calculating the ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to the formula (2):
（2）
wherein,representing harmonic order>Representing i-th harmonic current,/>Representing the total current of the three-phase load +.>Representing the duty ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load.
5. The method for intelligently setting filter parameters of an active power filter according to claim 1, wherein the step of calculating the comprehensive evaluation value of each subharmonic current based on the specific gravity of each subharmonic current actual value exceeding its corresponding allowable value and the ratio of each subharmonic current of the three-phase load in the total current of the three-phase load comprises:
Calculating a comprehensive evaluation value of each subharmonic current according to the formula (3):
（3）
wherein,representing the specific gravity of the actual value of the i-subharmonic current exceeding its corresponding allowable value,/>Representing the ratio of the i-order harmonic current of the three-phase load in the total current of the three-phase load, +.>Representing i harmonicsComprehensive evaluation value of wave current.
6. The method for intelligently setting filter parameters of an active power filter according to claim 1, wherein the step of calculating the duty ratio of each subharmonic current to be treated in the active power filter cabinet capacity comprises:
calculating the ratio of the subharmonic current to be treated in the capacity of the active power filter cabinet according to the formula (4):
（4）
wherein,representing harmonic order>Representing i-th harmonic current,/>Representing the active power filter cabinet capacity, +.>Representing the duty cycle of the i-th harmonic current of the required abatement in the active power filter cabinet capacity.
7. The method for intelligently setting filter parameters of an active power filter according to claim 1, wherein the step of determining the compensation gain of each subharmonic current required to be treated based on the duty ratio of each subharmonic current required to be treated in the active power filter cabinet capacity and a preset fuzzy rule comprises:
The compensation gain for each harmonic current to be managed is determined as follows:
taking the duty ratio of the harmonic current to be treated in the capacity of the active power filter cabinet as the input of the fuzzy controller;
converting the input duty ratio into a fuzzy set; the fuzzy set is set based on actual application data of the active power filter in the field and load characteristic data in an application scene;
based on the fuzzy set and the fuzzy rule, performing fuzzy reasoning by adopting a maximum and minimum method to obtain a reasoning result;
and carrying out inverse blurring treatment on the reasoning result to obtain the compensation gain of the harmonic current to be treated.
8. An intelligent tuning device for a filtering parameter of an active power filter, comprising:
the first calculation module is used for calculating the total current of the three-phase load and the current of each subharmonic of the three-phase load according to the three-phase load current signals detected in real time;
the second calculation module is used for calculating the proportion that the actual value of each subharmonic current exceeds the corresponding allowable value according to each subharmonic current and each subharmonic current allowable value of the three-phase load;
the third calculation module is used for calculating the duty ratio of each subharmonic current of the three-phase load in the total current of the three-phase load according to each subharmonic current of the three-phase load and the total current of the three-phase load;
A fourth calculation module, configured to calculate a comprehensive evaluation value of each subharmonic current based on a specific gravity of each subharmonic current actual value exceeding a corresponding allowable value and a duty ratio of each subharmonic current of the three-phase load in a total current of the three-phase load;
the sequencing module is used for sequencing the comprehensive evaluation values in a descending order, and taking the first N harmonic currents as subharmonic currents required to be treated;
the fifth calculation module is used for calculating the duty ratio of each subharmonic current to be treated in the capacity of the active power filter cabinet;
the sixth calculation module is used for determining the compensation gain of each subharmonic current required to be treated based on the ratio of each subharmonic current required to be treated in the capacity of the active power filter cabinet and a preset fuzzy rule; the fuzzy rule is set based on actual application data of the active power filter in the field and load characteristic data in an application scene.
9. A novel active power filter comprising a memory and a processor, said memory having stored therein a computer program, characterized in that the processor, when executing said computer program, implements the steps of the method for intelligently setting filter parameters for an active power filter according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method for intelligently setting filter parameters for an active power filter according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410070420.0A CN117595265B (en) | 2024-01-18 | 2024-01-18 | Filtering parameter intelligent setting method and device for active power filter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410070420.0A CN117595265B (en) | 2024-01-18 | 2024-01-18 | Filtering parameter intelligent setting method and device for active power filter |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117595265A true CN117595265A (en) | 2024-02-23 |
| CN117595265B CN117595265B (en) | 2024-04-23 |
Family
ID=89920453
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410070420.0A Active CN117595265B (en) | 2024-01-18 | 2024-01-18 | Filtering parameter intelligent setting method and device for active power filter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117595265B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20150019976A (en) * | 2013-08-17 | 2015-02-25 | 주식회사 파세텍 | Active harmonic filter |
| CN107645164A (en) * | 2016-07-22 | 2018-01-30 | 刘铮 | A kind of novel active power filter selective harmonic compensation method |
| CN111130123A (en) * | 2019-12-30 | 2020-05-08 | 华中科技大学 | Self-adaptive control method of parallel active power filter |
| CN116979535A (en) * | 2023-05-29 | 2023-10-31 | 南通大学 | Dual harmonic current detection method for active power filter |
-
2024
- 2024-01-18 CN CN202410070420.0A patent/CN117595265B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20150019976A (en) * | 2013-08-17 | 2015-02-25 | 주식회사 파세텍 | Active harmonic filter |
| CN107645164A (en) * | 2016-07-22 | 2018-01-30 | 刘铮 | A kind of novel active power filter selective harmonic compensation method |
| CN111130123A (en) * | 2019-12-30 | 2020-05-08 | 华中科技大学 | Self-adaptive control method of parallel active power filter |
| CN116979535A (en) * | 2023-05-29 | 2023-10-31 | 南通大学 | Dual harmonic current detection method for active power filter |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117595265B (en) | 2024-04-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109995034B (en) | Regional power grid harmonic comprehensive treatment method considering harmonic coupling characteristics | |
| Chandrakala Devi et al. | Modified generalised integrator based control strategy for solar PV fed UPQC enabling power quality improvement | |
| CN107147120A (en) | Active Power Filter-APF RBF amphineura network adaptive sliding-mode observer methods | |
| Shankar et al. | Implementation of shunt active filter for harmonic compensation in a 3 phase 3 wire distribution network | |
| Baramadeh et al. | Maximum power point tracker controller using fuzzy logic control with battery load for photovoltaics systems | |
| Puhan et al. | A comparative analysis of shunt active power filter and hybrid active power filter with different control techniques applied for harmonic elimination in a single phase system | |
| CN114188934A (en) | Method and device for constructing disturbance stability analysis model of double-ring control direct current system | |
| CN112597736B (en) | Method for analyzing high-frequency oscillation stability of direct-current micro-grid | |
| CN117595265B (en) | Filtering parameter intelligent setting method and device for active power filter | |
| Sahu et al. | ANN based hybrid active power filter for harmonics elimination with distorted mains | |
| Pedapenki et al. | Soft control techniques for shunt active power filter | |
| Gupta et al. | A fuzzy controlled shunt active power filter for reducing current harmonics and reactive power compensation | |
| Ivry et al. | Predicting harmonic distortion of multiple converters in a power system | |
| Wang et al. | DC voltage control strategy of chain star STATCOM with second‐order harmonic suppression | |
| Abdul-Hameed et al. | An investigation of the harmonic effects of nonlinear loads on power distributon network | |
| Kouara et al. | A new method to extract reference currents for shunt active power filter in three phase four wire systems | |
| Sahoo et al. | Execution of adaptive transverse filter for power quality improvement | |
| Adrikowski et al. | Selection of method for reactive power compensation and harmonic filtering in industrial plant | |
| Singh et al. | A novel reduced-rule fuzzy logic based self-supported dynamic voltage restorer for mitigating diverse power quality problems | |
| Pedapenki et al. | Neuro Fuzzy Based Controller for Power Quality Improvement | |
| CN112803383A (en) | DC micro-grid overcurrent suppression method and system of self-adaptive virtual impedance | |
| Rodriguez et al. | Stability analysis of grid-connected PV systems based on impedance frequency response | |
| Sainz et al. | Study of harmonic cancellation between AC/DC converter currents | |
| CN117595266B (en) | Harmonic wave treatment method, device, equipment and storage medium based on APF device | |
| Patra et al. | Design of PV System based on 3-Degree of Freedom Fractional Order Tilt-Integral-Derivative Controller with Filter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |