CN113224776A - Three-phase imbalance treatment method and system for active power distribution network - Google Patents

Three-phase imbalance treatment method and system for active power distribution network Download PDF

Info

Publication number
CN113224776A
CN113224776A CN202110342895.7A CN202110342895A CN113224776A CN 113224776 A CN113224776 A CN 113224776A CN 202110342895 A CN202110342895 A CN 202110342895A CN 113224776 A CN113224776 A CN 113224776A
Authority
CN
China
Prior art keywords
controller
voltage
deviation
coefficient
proportional coefficient
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.)
Pending
Application number
CN202110342895.7A
Other languages
Chinese (zh)
Inventor
马涛
侯磊
刘洋
孙胜霞
季经纬
张茂鹏
聂向欣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hebei Xiong'an Xuji Electric Technology Co ltd
Xiongan New Area Power Supply Company State Grid Hebei Electric Power Co
State Grid Corp of China SGCC
Original Assignee
Hebei Xiong'an Xuji Electric Technology Co ltd
Xiongan New Area Power Supply Company State Grid Hebei Electric Power Co
State Grid Corp of China SGCC
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hebei Xiong'an Xuji Electric Technology Co ltd, Xiongan New Area Power Supply Company State Grid Hebei Electric Power Co, State Grid Corp of China SGCC filed Critical Hebei Xiong'an Xuji Electric Technology Co ltd
Priority to CN202110342895.7A priority Critical patent/CN113224776A/en
Publication of CN113224776A publication Critical patent/CN113224776A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/26Arrangements for eliminating or reducing asymmetry in polyphase networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50Arrangements for eliminating or reducing asymmetry in polyphase networks

Abstract

The invention relates to a method and a system for treating three-phase imbalance of an active power distribution network, and belongs to the technical field of power system automation. The method comprises the following steps: when three phases of the power grid are unbalanced, acquiring the actual voltage of the direct current side of the active filter; calculating voltage deviation and deviation change rate according to the actual voltage and the target voltage; performing PI regulation by using the voltage deviation as the input of a PI controller; performing PWM modulation on the PI regulation result, and controlling an active filter in the power grid to perform unbalance treatment according to the modulation result; the proportional coefficient in the PI controller is obtained according to the proportional coefficient variable quantity and the proportional coefficient initial value, and the integral coefficient is obtained according to the integral coefficient variable quantity and the integral coefficient initial value; the proportional coefficient variation and the integral coefficient variation are determined according to the voltage deviation, the deviation variation rate and the fuzzy relation. The invention optimizes the proportional coefficient and integral coefficient of PI regulation through fuzzy control, improves the accuracy of PI regulation and improves the accuracy of three-phase imbalance treatment.

Description

Three-phase imbalance treatment method and system for active power distribution network
Technical Field
The invention relates to a method and a system for treating three-phase imbalance of an active power distribution network, and belongs to the technical field of power system automation.
Background
The concept of smart grid was first proposed by the american power science research institute (EPRI) in 2001, and then in 2003, major social impact was caused by major blackouts in california, usa, and the uk formally initiated research and construction work of smart grid. In 2005, "european technology forum for smart grids" was also established in europe, and research on smart grids was developed. Subsequently, countries such as china, japan, korea, and the like have also started the smart grid construction planning one after another.
The unified enhanced smart grid in China covers six links of power generation, power transmission, power transformation, power distribution, power utilization and scheduling, consists of a basic system, a technical support system, an intelligent application system and a standard and standard system, and has the basic connotation of strong reliability, cleanness, environmental protection, economy, high efficiency, transparency, openness and friendly interaction. The intelligent power distribution area is an important ring of the intelligent power distribution network, is a hub for connecting two major links of power distribution and power utilization, and has great significance in development and construction.
However, the intelligent power grid has the problem of three-phase imbalance and other power quality. The existing three-phase unbalance treatment method mainly comprises the following steps: a load commutation method, a capacitor method, a dynamic compensation method, and the like. The load phase-changing method is a common method, and mainly controls a phase-changing switch to change the phase according to the current, the three-phase voltage and the current phase.
The existing phase change switch is suitable for occasions with loads consuming electric energy and high power factors, however, with the continuous abundance of electric equipment and the wide application of distributed energy power generation loads such as photovoltaic and wind power, the loads of a low-voltage power distribution network are more complicated, a distributed energy power distribution network (namely an active power distribution network) is formed, and the phenomenon that loads of reverse phase current or power factors are low exists in the active power distribution network, so that the active filter is adopted for carrying out three-phase imbalance processing in the active power distribution network.
The active filter generally adopts a PI controller to perform PI regulation for three-phase imbalance treatment, and when the PI controller performs PI regulation, the set regulation parameters of the proportional coefficient and the integral coefficient are fixed values set according to experience, so that the regulation accuracy is reduced, and the three-phase imbalance phenomenon cannot be accurately controlled.
Disclosure of Invention
The application aims to provide a three-phase imbalance treatment method and system for an active power distribution network, and the method and system are used for solving the problem that an existing treatment method is low in accuracy.
In order to achieve the purpose, the application provides a technical scheme of a three-phase imbalance treatment method for an active power distribution network, and the method comprises the following steps:
1) when three phases of the power grid are unbalanced, acquiring the actual voltage of the direct current side of the active filter;
2) calculating voltage deviation and deviation change rate according to the actual voltage and the target voltage;
3) performing PI regulation by using the voltage deviation as the input of a PI controller; performing PWM modulation on the PI regulation result, and controlling an active filter in the power grid to perform unbalance treatment according to the modulation result; the proportional coefficient in the PI controller is obtained according to the proportional coefficient variable quantity and the proportional coefficient initial value; the integral coefficient in the PI controller is obtained according to the integral coefficient variable quantity and the integral coefficient initial value; the proportional coefficient variation and the integral coefficient variation are determined according to the voltage deviation, the deviation variation rate and the fuzzy relation.
The technical scheme of the active power distribution network three-phase imbalance treatment method has the beneficial effects that: the method comprises the steps of calculating voltage deviation and deviation change rate according to actual voltage and target voltage on a direct current side of an active filter, further determining proportional coefficient change quantity and integral coefficient change quantity according to the voltage deviation, the deviation change rate and a fuzzy relation, optimizing a proportional coefficient initial value in a PI controller through the proportional coefficient change quantity to obtain a final proportional coefficient, and optimizing an integral coefficient initial value in the PI controller through the integral coefficient change quantity to obtain a final integral coefficient; and then PI regulation is carried out according to the optimized proportional coefficient and integral coefficient, the accuracy of PI regulation is improved, three-phase imbalance in the active power distribution network is minimized, and the accuracy of three-phase imbalance treatment is improved.
In addition, this application still provides an active power distribution network unbalanced three phase treatment system's technical scheme, includes:
the voltage detection circuit is used for collecting the actual voltage on the direct current side of the active filter;
the active filter is used for carrying out unbalance treatment according to PWM modulation;
a controller including a fuzzy controller and a PI controller;
the fuzzy controller is used for determining the proportional coefficient variation and the integral coefficient variation according to the voltage deviation, the deviation variation rate and the fuzzy relation when three-phase imbalance occurs in the power grid; the voltage deviation and the deviation change rate are calculated according to the actual voltage and the target voltage;
the PI controller performs PI regulation by taking the voltage deviation as an input quantity, performs PWM modulation on a PI regulation result, and controls an active filter in a power grid to perform unbalance management according to the modulation result; the proportional coefficient in the PI controller is obtained according to the proportional coefficient variable quantity and the proportional coefficient initial value; and the integral coefficient in the PI controller is obtained according to the integral coefficient variable quantity and the integral coefficient initial value.
The technical scheme of the active power distribution network three-phase imbalance treatment system has the beneficial effects that: the method comprises the steps that voltage deviation and deviation change rate are calculated according to actual voltage and target voltage on the direct current side of an active filter, then a proportional coefficient change amount and an integral coefficient change amount are determined by a fuzzy controller according to the voltage deviation, the deviation change rate and a fuzzy relation, a proportional coefficient initial value in a PI controller is optimized through the proportional coefficient change amount to obtain a final proportional coefficient, and an integral coefficient initial value in the PI controller is optimized through the integral coefficient change amount to obtain a final integral coefficient; and the PI controller carries out PI regulation according to the optimized proportional coefficient and integral coefficient, the accuracy of PI regulation is improved, three-phase unbalance in the active power distribution network is minimized, the accuracy of three-phase unbalance treatment is improved, the dynamic and static performances of the system are improved, the power quality in the power distribution network is guaranteed, the requirements of planning and running of the power distribution network under a new situation are effectively supported, and the PI controller has great practical significance to the whole power system.
Further, the PWM-controlled rectifier in the active filter is a three-phase full bridge rectifier.
Drawings
FIG. 1 is a structural diagram of a three-phase imbalance treatment system of an active power distribution network according to the invention;
FIG. 2 is a flow chart of the method for treating three-phase imbalance of the active power distribution network;
FIG. 3 is a control block diagram of fuzzy control and PI control of the active power distribution network three-phase imbalance management method;
in the figure: 1 is an active power distribution network, 2 is a reactor, 3 is a controller, 4 is an energy storage capacitor, 5 is a PWM controllable rectifier, 6 is a freewheeling diode, and 7 is an IGBT.
Detailed Description
The embodiment of the three-phase unbalance treatment system of the active power distribution network comprises the following steps:
the main idea of the invention is that based on the problem of low PI regulation accuracy caused by the fixed PI regulation parameters, the invention calculates the voltage deviation and the deviation change rate according to the actual voltage and the target voltage on the direct current side of the active filter, inputs the voltage deviation and the deviation change rate into the fuzzy controller to obtain the proportional coefficient variation and the integral coefficient variation, further optimizes the proportional coefficient and the integral coefficient in the PI controller according to the proportional coefficient variation and the integral coefficient variation, and performs PI regulation according to the optimized proportional coefficient and the optimized integral coefficient, thereby improving the PI regulation accuracy.
The three-phase imbalance management system of the active power distribution network is shown in fig. 1 and comprises an active filter, a controller 3 and a voltage signal detection circuit (not shown in the figure).
The active filter comprises a reactor 2, a PWM (pulse-width modulation) controllable rectifier 5 and an energy storage capacitor 4, and is a voltage type active filter, and the PWM controllable rectifier 5 is a three-phase full-bridge rectifier consisting of an IGBT7 and a freewheeling diode 6. The reactor 2 and the energy storage capacitor 4 in the active filter can store the energy of the power grid.
The voltage signal detection circuit is used to detect the actual dc voltage Udc across the energy storage capacitor 4 (i.e. the actual voltage on the dc side of the active filter).
The input end of the controller 3 is connected with the voltage signal detection circuit, and the output end of the controller 3 is connected with the control end of the PWM controllable rectifier 5. The controller 3 comprises a fuzzy controller and a PI controller; the controller 3 controls the capacitor voltage of the direct current side after receiving the voltage of the direct current side of the active filter according to the minimum three-phase unbalance degree and the minimum power loss in the adjusting process, so that the voltage of the direct current side is kept unchanged, the alternating current side of the PWM controllable rectifier 5 outputs PWM current waves, the three-phase unbalance degree of the power distribution network is minimized, and the three-phase unbalance of the active power distribution network is further treated.
Specifically, as shown in fig. 2, the method for treating three-phase imbalance of the active power distribution network includes the following steps:
1) the reactor that active power distribution network 1 set up through its transmission line has eliminated the harmonic current in the electric wire netting, and simultaneously, the data transmission in the active power distribution network 1 is to controller 3: voltage and current information in the active power distribution network 1 can be monitored in real time through the alternating current contactor, signals converted by AD are transmitted to the controller 3, and the controller 3 analyzes whether the three-phase voltage of the active power distribution network 1 is balanced.
2) When the controller 3 monitors that the degree of unbalance of the active power distribution network 1 is greater than a set threshold and three-phase unbalance occurs, as shown in fig. 3, the collected actual voltage Udc and the target voltage Udc are calculated to obtain a voltage deviation e and a deviation change rate ec.
3) The fuzzy controller in the controller 3 determines the proportional coefficient variation Δ Kp and the integral coefficient variation Δ Ki from the voltage deviation e, the deviation variation rate ec, and the fuzzy relation, and inputs the voltage deviation e to the PI controller.
The fuzzy controller is a double-input double-output controller, reads e and ec, automatically adjusts a fuzzy control strategy, and outputs variables delta Kp and delta Ki after self-adaptive adjustment. The fuzzy self-adaptive control is realized by finding out the fuzzy relation between two parameters Kp and Ki and the voltage deviation e and the deviation change rate ec, wherein the Kp is used for accelerating the response speed of the system and improving the adjustment precision of the system, the Ki is used for eliminating the steady-state error of the system, the e and the ec are continuously detected in the operation process, and the PI parameter is modified on line according to the fuzzy control principle, so that the controlled object has good dynamic and static performances.
And after the current e and ec are calculated, fuzzification processing is carried out, the input variable is converted into a corresponding speech variable fuzzy set theory domain from a basic theory domain, and fuzzy reasoning is carried out by utilizing a fuzzy rule. E and ec are defined as discourse domain e, ec { -3, -2, -1, 0, 1, 2, 3} on the fuzzy set, the linguistic variables are e, ec { (NB, NM, NS, ZO, PS, PM, PB }, and the elements in the subset are represented as negative large, negative medium, negative small, zero, positive small, and positive large, respectively. For the convenience of calculation, all the membership functions are triangular functions. The principle of selecting the control quantity is as follows: when the error is large or large, the design of the control parameters is mainly to eliminate the error as soon as possible; when the error is small, the parameter design mainly takes the stability of the system as the main part to prevent the overshoot of the system. The control rules of the fuzzy controller are established according to the analysis, and are shown in table 1 and table 2.
TABLE 1Kp fuzzy control rules
e/ec NB NM NS ZO PS PM PB
NB PB PB PM PM PS ZO ZO
NM PB PB PM PS PS ZO NS
NS PM PM PM PS ZO NS NS
ZO PM PM PS ZO NS NM NM
PS PS PS ZO NS NS NM NM
PM PS ZO NS NM NM NM NB
PB ZO ZO NM NM NM NB NB
TABLE 2Ki fuzzy control rules
Figure BDA0003000053790000041
Figure BDA0003000053790000051
And (5) reasoning and outputting results delta Kp and delta Ki according to a fuzzy rule table aiming at different input conditions. The selection principle of Kp and Ki is as follows: when the error is large or large, the design of the control parameters is mainly to eliminate the error as soon as possible; when the error is small, the parameter design mainly takes the stability of the system as the main part to prevent the overshoot of the system.
4) In the PI controller, the proportional coefficient variation delta Kp and the proportional coefficient initial value Kp are compared0Adding to obtain a final proportional coefficient Kp; the variation delta Ki of the integral coefficient and the initial value Ki of the integral coefficient0And adding to obtain a final integral coefficient Ki, carrying out PI regulation by taking the voltage deviation e as an input quantity according to the proportional coefficient Kp and the integral coefficient Ki, carrying out PWM modulation on a PI regulation result, and controlling an active filter in the power grid to carry out imbalance management according to the modulation result. Ki0、Kp0And setting initial parameters according to an engineering method.
After the PI controller obtains parameters such as voltage deviation, the proportional coefficient Kp and the integral coefficient Ki are subjected to online self-adjustment by the fuzzy controller, so that the PI controller can adapt to different working conditions of a power system and output a PWM (pulse-width modulation) switch modulation signal U0Further, PWM modulation is performed, and the IGBT7 is driven to be opened or closed by the drive circuit for modulation, thereby performing imbalance control.
In this embodiment, the active power distribution network 1 is a public power distribution network having a flexible topology structure, and adopts a mode of actively managing distributed power supplies, energy storage devices, and bidirectional loads of customers. In the aspect of controlling the multi-element energy of the energy interconnection system of the power distribution station area, due to the flexible grid-connected mode and the differentiated power output characteristic of the distributed energy, the controller 3 can better perform optimal scheduling on the distributed energy interconnection system from the global perspective based on the coordination control of the hierarchical control structure, and each distributed unit and the demand side can respond to the load, and the energy storage system group can perform qualification adjustment according to the scheduling instruction, so that the flexible, coordinated and efficient control on each distributed unit is realized.
The invention realizes the comprehensive control of the electric energy quality of the active power distribution network system, can solve the comprehensive problem of the electric energy quality of the traditional power distribution network and the new energy power distribution network, and has great guiding significance and practical value.
The embodiment of the three-phase imbalance treatment method of the active power distribution network comprises the following steps:
the three-phase imbalance management method for the active power distribution network is already introduced in the embodiment of the three-phase imbalance management system for the active power distribution network, and is not described herein again.

Claims (3)

1. A three-phase unbalance treatment method for an active power distribution network is characterized by comprising the following steps:
1) when three phases of the power grid are unbalanced, acquiring the actual voltage of the direct current side of the active filter;
2) calculating voltage deviation and deviation change rate according to the actual voltage and the target voltage;
3) performing PI regulation by using the voltage deviation as the input of a PI controller; performing PWM modulation on the PI regulation result, and controlling an active filter in the power grid to perform unbalance treatment according to the modulation result; the proportional coefficient in the PI controller is obtained according to the proportional coefficient variable quantity and the proportional coefficient initial value; the integral coefficient in the PI controller is obtained according to the integral coefficient variable quantity and the integral coefficient initial value; the proportional coefficient variation and the integral coefficient variation are determined according to the voltage deviation, the deviation variation rate and the fuzzy relation.
2. The utility model provides an unbalanced three phase treatment system of initiative distribution network which characterized in that includes:
the voltage detection circuit is used for collecting the actual voltage on the direct current side of the active filter;
the active filter is used for carrying out unbalance treatment according to PWM modulation;
a controller including a fuzzy controller and a PI controller;
the fuzzy controller is used for determining the proportional coefficient variation and the integral coefficient variation according to the voltage deviation, the deviation variation rate and the fuzzy relation when three-phase imbalance occurs in the power grid; the voltage deviation and the deviation change rate are calculated according to the actual voltage and the target voltage;
the PI controller performs PI regulation by taking the voltage deviation as an input quantity, performs PWM modulation on a PI regulation result, and controls an active filter in a power grid to perform unbalance management according to the modulation result; the proportional coefficient in the PI controller is obtained according to the proportional coefficient variable quantity and the proportional coefficient initial value; and the integral coefficient in the PI controller is obtained according to the integral coefficient variable quantity and the integral coefficient initial value.
3. The active power distribution network three-phase imbalance management system of claim 2, wherein the PWM controllable rectifier in the active filter is a three-phase full-bridge rectifier.
CN202110342895.7A 2021-03-30 2021-03-30 Three-phase imbalance treatment method and system for active power distribution network Pending CN113224776A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110342895.7A CN113224776A (en) 2021-03-30 2021-03-30 Three-phase imbalance treatment method and system for active power distribution network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110342895.7A CN113224776A (en) 2021-03-30 2021-03-30 Three-phase imbalance treatment method and system for active power distribution network

Publications (1)

Publication Number Publication Date
CN113224776A true CN113224776A (en) 2021-08-06

Family

ID=77086098

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110342895.7A Pending CN113224776A (en) 2021-03-30 2021-03-30 Three-phase imbalance treatment method and system for active power distribution network

Country Status (1)

Country Link
CN (1) CN113224776A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115189373A (en) * 2022-06-22 2022-10-14 国网安徽省电力有限公司 Method and device for determining three-phase imbalance generation reason
CN115528905A (en) * 2022-11-28 2022-12-27 深圳市洛仑兹技术有限公司 Pulse modulation signal determination method and device, power supply equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1323095A (en) * 2001-06-28 2001-11-21 上海交通大学 Multifunctional triphase power factor controllable current transformer
CN101026302A (en) * 2006-12-31 2007-08-29 湖南大学 Hybrid active filter frequency division control method
CN103560516A (en) * 2013-11-19 2014-02-05 中南大学 Parallel connection hybrid type active power filter and control method thereof
CN104022508A (en) * 2014-05-26 2014-09-03 中南大学 Three-phase four-switch active electric power filter and control method thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1323095A (en) * 2001-06-28 2001-11-21 上海交通大学 Multifunctional triphase power factor controllable current transformer
CN101026302A (en) * 2006-12-31 2007-08-29 湖南大学 Hybrid active filter frequency division control method
CN103560516A (en) * 2013-11-19 2014-02-05 中南大学 Parallel connection hybrid type active power filter and control method thereof
CN104022508A (en) * 2014-05-26 2014-09-03 中南大学 Three-phase four-switch active electric power filter and control method thereof

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
党建武 等: "《模糊控制技术》" *
夏雨: "三相四线制并联型有源电力滤波器的研究", 《中国优秀博硕士学位论文全文数据库(硕》 *
夏雨等: "模糊控制在有源电力滤波器直流侧中的应用", 《装备制造技术》 *
李兰芳等: "基于模糊推理和李亚普诺夫理论的有源电力滤波器控制", 《四川大学学报(工程科学版)》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115189373A (en) * 2022-06-22 2022-10-14 国网安徽省电力有限公司 Method and device for determining three-phase imbalance generation reason
CN115528905A (en) * 2022-11-28 2022-12-27 深圳市洛仑兹技术有限公司 Pulse modulation signal determination method and device, power supply equipment and storage medium
CN115528905B (en) * 2022-11-28 2023-03-10 深圳市洛仑兹技术有限公司 Pulse modulation signal determination method, device, power supply equipment and storage medium

Similar Documents

Publication Publication Date Title
Beddar et al. Experimental enhancement of fuzzy fractional order PI+ I controller of grid connected variable speed wind energy conversion system
Kaneko et al. An integrated control method for a wind farm to reduce frequency deviations in a small power system
CN113224776A (en) Three-phase imbalance treatment method and system for active power distribution network
Benbouhenni et al. Intelligent control scheme of asynchronous generator-based dual-rotor wind power system under different working conditions
Amin et al. ANFIS based neuro-fuzzy control of dfig for wind power generation in standalone mode
Guo et al. A self-adaptive fuzzy PI controller of power conditioning system for hybrid fuel-cell/turbine power plant
Bouderbala et al. Novel deadbeat predictive control strategy for DFIG’s back to back power converter
Benbouhenni et al. Direct active and reactive powers control of double-powered asynchronous generators in multi-rotor wind power systems using modified synergetic control
CN113991715A (en) Control method of medium-voltage direct-hanging asymmetric hybrid energy storage system under non-ideal power grid
CN110718933B (en) Multi-level coordinated power balance control strategy for wind power storage isolated network system
Dida et al. Modeling and control of DFIG through back-to-back five levels converters based on neuro-fuzzy controller
CN113623126B (en) Control method, system, terminal and readable storage medium for direct-drive permanent magnet hydroelectric power generation system based on fuzzy control
CN113783209A (en) Power distribution network imbalance management method based on single-phase intelligent load control
Hussain et al. Machine learning based voltage regulation technique using smart rotating magnetic inverter
CN112953325A (en) Brushless double-fed power generation system and control method thereof
Djoudi et al. Multilevel converter and fuzzy logic solutions for improving direct control accuracy of DFIG-based wind energy system
Djoudi et al. Stability analysis of DFIG stator powers control based on sliding mode approach
Sattar et al. Fuzzy Logic Controlled Shunt Active Power Filter for Power Quality Improvement of an Egyptian Electrical Network-Connected Wind Energy System
Saleh et al. An ANFIS Based Control Strategy to Improve Performance of Shunt Active Power Filter for Renewable Power Generation Systems
Elgammal Adaptive fuzzy sliding mode controller for grid interface ocean wave energy conversion
Dinku et al. Artificial intelligence techniques for modeling of wind energy harvesting systems: a comparative analysis
CN114336742B (en) Solar photovoltaic controller based on self-adaptive neural network
CN110112772B (en) Energy inversion grid-connected control device and control method
Mohomad et al. Dead-beat current controller for voltage source inverter with LCL Grid-Tied Filter
Vivekanandhan et al. A survey on controlling techniques employed in microgrid

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210806