CN113872222A - Self-adaptive control method device for rotational inertia of double-high-characteristic power system - Google Patents
Self-adaptive control method device for rotational inertia of double-high-characteristic power system Download PDFInfo
- Publication number
- CN113872222A CN113872222A CN202111327799.1A CN202111327799A CN113872222A CN 113872222 A CN113872222 A CN 113872222A CN 202111327799 A CN202111327799 A CN 202111327799A CN 113872222 A CN113872222 A CN 113872222A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- charge
- storage element
- inertia
- state
- 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 31
- 238000004146 energy storage Methods 0.000 claims description 51
- 230000001360 synchronised effect Effects 0.000 claims description 9
- 230000003044 adaptive effect Effects 0.000 claims description 5
- 230000009977 dual effect Effects 0.000 claims description 3
- 230000004044 response Effects 0.000 abstract description 7
- 230000008569 process Effects 0.000 abstract description 5
- 230000008859 change Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 7
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
-
- 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
- H02J3/002—Flicker reduction, e.g. compensation of flicker introduced by non-linear load
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- Nonlinear Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides a self-adaptive control method and a self-adaptive control device for the rotational inertia of a double-high-characteristic power system, which relate to the technical field of wind power and comprise the following steps: the method can realize the estimation of the inertia level space-time characteristic in the inertia response process of the system, and further adjust the inertia support response coordination of each part of the system so as to meet various stability constraint conditions and improve the safe and stable operation capability of the system.
Description
Technical Field
The invention relates to the technical field of new energy power generation, in particular to a self-adaptive control method and device for the rotational inertia of a double-high-characteristic power system.
Background
The power grid in China gradually forms a double-high characteristic containing high-proportion renewable energy and high-proportion power electronic equipment, compared with the traditional power grid supplied with energy by a synchronous generator, because new energy in a double-high power system is mostly connected to the power grid by power electronic devices such as a grid-connected inverter, the new energy cannot provide rotation inertia for the system like the synchronous generator, and on the contrary, the system inertia is lower along with the increase of the proportion of the new energy. In this case, the system becomes more sensitive to frequency fluctuations upon disturbance, seriously threatening the stable operation of the system.
Inertia can slow down system frequency change in a blocking period to strive for time for primary frequency modulation of a power grid, but due to the fact that inertia of a novel power system with the double-height characteristic is low, when frequency fluctuation occurs, frequency change is fast, the maximum deviation value of the power grid frequency is larger, a system protection mechanism is triggered more probably, and major power failure can be caused in serious cases, for example, major power failure accidents of power systems such as 9 and 28 in south Australia and 8 and 9 in England are related to insufficient system inertia caused by high-proportion new energy access. In addition, as the requirements of partial users on power supply quality are high, and strict requirements on power supply frequency are provided, the power grid frequency fluctuation can cause huge loss.
Although various inertia and frequency support control technologies for novel source, load and storage interfaces and a direct current transmission system converter can improve the inertia response capacity of a power system and reduce the safe operation pressure of a large power grid, how to realize the estimation of the inertia level space-time characteristic in the inertia response process of the system under the background of a high-proportion new energy source and high-proportion power electronized 'double-high' power system, and further adjust the coordination of the inertia support response of each part of the system so as to meet various stability constraint conditions and improve the safe and stable operation capacity of the system, still the problem to be solved urgently is solved.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for adaptively controlling a rotational inertia of a dual-high-feature power system, so as to achieve estimation of a spatial-temporal characteristic of an inertia level in a system inertial response process, and further adjust support response coordination of inertia of each part of the system, so as to satisfy various stability constraint conditions and improve a safe and stable operation capability of the system.
The invention provides a self-adaptive control method for the rotational inertia of a double-high-characteristic power system, which comprises the following steps of:
and acquiring the charge state of the energy storage element, and acquiring the inertial support of the power system based on the charge state of the energy storage element.
Preferably, the step of obtaining the state of charge of the energy storage element and obtaining the inertial support of the power system based on the state of charge of the energy storage element includes:
if the state of charge of the energy storage element is less than 20%, the inertia support output by the power grid system is as follows:
H＝k3SOCBH0 SOC＜20％
k3b, adjusting coefficient of the energy stored in the power grid system under the condition that the SOC is less than 20%;
SOC-state of charge of the energy storage element;
h, inertia support of the output of the power grid system;
H0the amount of inertia during normal operation of the system.
Preferably, the step of obtaining the state of charge of the energy storage element and obtaining the inertial support of the power system based on the state of charge of the energy storage element includes:
if the state of charge of the energy storage element is more than 20% and less than 90%, the inertia support output by the power grid system is as follows:
k1、k2-an adjustment factor;
Δkx-step size of parameter adjustment
Respectively defining maximum fluctuation values for a system frequency fluctuation threshold value and a system frequency;
fm-a system nominal frequency;
f-the actual frequency of the system.
Preferably, the step of obtaining the state of charge of the energy storage element and obtaining the inertial support of the power system based on the state of charge of the energy storage element includes:
if the state of charge of the energy storage element is larger than 90%, the inertia support output by the power grid system is as follows:
H＝k4(1-SOC)CH0 SOC＞90％
k4and the C-system energy storage is adjusted by the coefficient under the condition that the SOC is more than 90%.
Preferably, the inertia magnitude H during normal operation of the system is obtained by using the following formula0：
n-the number of synchronizers in the system;
Js,k，pn,k-the moment of inertia and the number of pole pairs of the synchronous machine K;
Sk、Ekrated capacity and kinetic energy of the synchronous machine;
In another aspect, the present invention provides a self-adaptive control device for rotational inertia of a dual-high-feature power system, including:
an inertial support acquisition module: the system is used for acquiring the state of charge of the energy storage element and acquiring the inertial support of the power system based on the state of charge of the energy storage element.
The embodiment of the invention has the following beneficial effects: the invention provides a self-adaptive control method and a device for rotational inertia of a double-high-characteristic power system, which comprises the steps of acquiring the charge state of an energy storage element, and acquiring the inertial support of the power system based on the charge state of the energy storage element.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a self-adaptive control method for rotational inertia of a dual-high-characteristic power system according to an embodiment of the present invention;
fig. 2 is a structural diagram of a dual high-feature power system according to an embodiment of the present invention;
fig. 3 is a simulation diagram of a change situation of a conventional VSG control frequency according to an embodiment of the present invention;
fig. 4 is a simulation diagram of frequency variation of a self-adaptive control method for rotational inertia of a dual-high-feature power system according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, inertia can slow down system frequency change in a blocking period to strive for time for primary frequency modulation of a power grid, but due to the fact that the inertia of a novel power system with the double-height characteristic is low, when frequency fluctuation occurs, not only is the frequency change fast, but also the maximum deviation value of the power grid frequency is larger, a system protection mechanism is triggered more probably, and a large power failure can be caused in serious cases.
For the convenience of understanding the embodiment, first, a detailed description is given to an adaptive control method for the rotational inertia of a dual-high-feature power system disclosed in the embodiment of the present invention.
With reference to fig. 1 and fig. 2, the present invention provides a self-adaptive control method for rotational inertia of a dual high-feature power system, including:
and acquiring the charge state of the energy storage element, and acquiring the inertial support of the power system based on the charge state of the energy storage element.
It should be noted that, in the embodiment provided by the present invention, the system inertia condition is analyzed from the aspects of the new energy accessed to the power grid and the control thereof, and the traditional droop control and virtual synchronous machine (VSG) control relationship is as follows:
preferably, the step of obtaining the state of charge of the energy storage element and obtaining the inertial support of the power system based on the state of charge of the energy storage element includes:
if the state of charge of the energy storage element is less than 20%, the inertia support output by the power grid system is as follows:
H＝k3SOCBH0 SOC＜20％
k3b, adjusting coefficient of the energy stored in the power grid system under the condition that the SOC is less than 20%;
SOC-state of charge of the energy storage element;
h, inertia support of the output of the power grid system;
H0the amount of inertia during normal operation of the system.
Preferably, the step of obtaining the state of charge of the energy storage element and obtaining the inertial support of the power system based on the state of charge of the energy storage element includes:
if the state of charge of the energy storage element is more than 20% and less than 90%, the inertia support output by the power grid system is as follows:
k1、k2-an adjustment factor;
Δkx-step size of parameter adjustment
Respectively defining maximum fluctuation values for a system frequency fluctuation threshold value and a system frequency;
fm-a system nominal frequency;
f-the actual frequency of the system.
In the examples provided by the present invention, β ═ 0.5, Δ f ═ 0.02;
preferably, the step of obtaining the state of charge of the energy storage element and obtaining the inertial support of the power system based on the state of charge of the energy storage element includes:
if the state of charge of the energy storage element is larger than 90%, the inertia support output by the power grid system is as follows:
H＝k4(1-SOC)CH0 SOC＞90％
k4and the C-system energy storage is adjusted by the coefficient under the condition that the SOC is more than 90%.
Preferably, the inertia H during normal operation of the system is obtained by the following company0：
n-the number of synchronizers in the system;
Js,k，pn,k-the moment of inertia and the number of pole pairs of the synchronous machine K;
Sk、Ekrated capacity and kinetic energy of the synchronous machine;
Example two:
the embodiment of the invention provides a self-adaptive control device for the rotational inertia of a double-high-characteristic power system, which comprises the following steps:
an inertial support acquisition module: the system is used for acquiring the state of charge of the energy storage element and acquiring the inertial support of the power system based on the state of charge of the energy storage element.
Compared with the prior art, the invention has the beneficial effects that:
1. in the moment of inertia evaluation and inertia adaptive control of a novel power system considering the characteristic of double-height, inertia support is provided for different oscillation frequencies of the system by evaluating the inertia of the system and utilizing the adaptive control, and the running stability of a double-height power grid is improved.
2. Compared with the traditional VSG control strategy, the inertia control method provided by the method considers two limit operation working conditions of energy storage, reduces the limit charging and discharging times of the energy storage element while providing inertia for the system, and prolongs the service life of the energy storage.
3. The self-adaptive control provided by the method fully considers two aspects of frequency change speed and frequency change degree of the system, on one hand, an exponential function taking the frequency change rate of the system as a core is established, and a larger inertia is provided for the system when the frequency change rate is large and a smaller inertia is provided for the system when the frequency change rate is small by combining an adjustment coefficient; on the other hand, the value A determined by the difference value of the real-time frequency and the rated frequency is combined with the adjustment step length, and when the change value of the system frequency exceeds the set value, the inertia is increased by increasing the self-adaptive index, so that the support is provided for the system frequency.
In the example, the frequency change condition of the alternating current bus of the system access load when the energy storage element is in the normal SOC state for 0.5s is considered, and the actual effect is compared with the traditional VSG control method and the self-adaptive control method provided herein. In this example, the adjustment coefficients in the adaptive parameters are: k is a radical of1＝2,k2＝5,Δkx8, β -0.5, Δ f-0.02, simulationThe results are shown in the figure.
By comparing the two methods with fig. 3 and fig. 4, it can be seen that the method provided herein can more rapidly make the system reach a stable state when the system load changes, and at the same time, the new steady-state frequency value of the system is closer to the rated frequency, and the change degree is smaller.
Unless specifically stated otherwise, the relative steps, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present invention.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A self-adaptive control method for rotational inertia of a double-high-characteristic power system is characterized by comprising the following steps:
and acquiring the charge state of the energy storage element, and acquiring the inertial support of the power system based on the charge state of the energy storage element.
2. The method of claim 1, wherein the step of obtaining the state of charge of the energy storage element, and obtaining the inertial support of the power system based on the state of charge of the energy storage element comprises:
if the state of charge of the energy storage element is less than 20%, the inertia support output by the power grid system is as follows:
H＝k3SOCBH0 SOC＜20％
k3b, adjusting coefficient of the energy stored in the power grid system under the condition that the SOC is less than 20%;
SOC — state of charge of the energy storage element;
h, inertia support of the output of the power grid system;
H0the inertia of the system during normal operation.
3. The method of claim 1, wherein the step of obtaining the state of charge of the energy storage element, and obtaining the inertial support of the power system based on the state of charge of the energy storage element comprises:
if the state of charge of the energy storage element is more than 20% and less than 90%, the inertia support output by the power grid system is as follows:
k1、k2-adjusting the coefficients;
Δkxstep size of parameter adjustment
Respectively defining maximum fluctuation values for a system frequency fluctuation threshold value and a system frequency;
fm-system nominal frequency;
f-the actual frequency of the system.
4. The method of claim 1, wherein the step of obtaining the state of charge of the energy storage element, and obtaining the inertial support of the power system based on the state of charge of the energy storage element comprises:
if the state of charge of the energy storage element is more than 90%, the inertia support output by the power grid system is
H＝k4(1-SOC)CH0 SOC＞90％
k4C is the adjustment coefficient of the system energy storage when the SOC is more than 90%.
5. Method according to any of claims 2 to 4, characterized in that the magnitude of inertia H during normal operation of the system is obtained by means of the company0：
n is the number of synchronizers in the system;
Js,k，pn,k-the moment of inertia and the number of pole pairs of the synchronous machine K;
Sk、Ekrated capacity and kinetic energy of the synchronous machine;
6. A dual high-feature power system moment of inertia adaptive control apparatus, comprising:
an inertial support acquisition module: and acquiring the charge state of the energy storage element, and acquiring the inertial support of the power system based on the charge state of the energy storage element.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111327799.1A CN113872222B (en) | 2021-11-10 | 2021-11-10 | Self-adaptive control method and device for rotational inertia of dual-high-characteristic power system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111327799.1A CN113872222B (en) | 2021-11-10 | 2021-11-10 | Self-adaptive control method and device for rotational inertia of dual-high-characteristic power system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113872222A true CN113872222A (en) | 2021-12-31 |
| CN113872222B CN113872222B (en) | 2024-01-16 |
Family
ID=78987633
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111327799.1A Active CN113872222B (en) | 2021-11-10 | 2021-11-10 | Self-adaptive control method and device for rotational inertia of dual-high-characteristic power system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113872222B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160109271A (en) * | 2015-03-10 | 2016-09-21 | 엘에스산전 주식회사 | Method for controlling an energy storage device and system for managing a power |
| WO2019035760A1 (en) * | 2017-08-17 | 2019-02-21 | Nanyang Technological University | Virtual power system inertia apparatus and methods of operation thereof |
| CN109768582A (en) * | 2018-12-31 | 2019-05-17 | 华北电力大学（保定） | A kind of virtual synchronous generator control method under multi-constraint condition |
| CN111900745A (en) * | 2020-07-17 | 2020-11-06 | 江苏科能电力工程咨询有限公司 | Hybrid energy storage frequency division coordination control system for stabilizing wind power fluctuation |
| KR20210011727A (en) * | 2019-07-23 | 2021-02-02 | 인제대학교 산학협력단 | System and Method for Controlling Inertial of Energy Storage System |
| CN112583033A (en) * | 2020-12-02 | 2021-03-30 | 清华四川能源互联网研究院 | Virtual inertia coordination control method and device based on energy storage charge state |
| US20210296883A1 (en) * | 2020-03-19 | 2021-09-23 | Fuji Electric Co., Ltd. | Grid connected inverter, and method for reducing grid frequency variation |
-
2021
- 2021-11-10 CN CN202111327799.1A patent/CN113872222B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160109271A (en) * | 2015-03-10 | 2016-09-21 | 엘에스산전 주식회사 | Method for controlling an energy storage device and system for managing a power |
| WO2019035760A1 (en) * | 2017-08-17 | 2019-02-21 | Nanyang Technological University | Virtual power system inertia apparatus and methods of operation thereof |
| CN109768582A (en) * | 2018-12-31 | 2019-05-17 | 华北电力大学（保定） | A kind of virtual synchronous generator control method under multi-constraint condition |
| KR20210011727A (en) * | 2019-07-23 | 2021-02-02 | 인제대학교 산학협력단 | System and Method for Controlling Inertial of Energy Storage System |
| US20210296883A1 (en) * | 2020-03-19 | 2021-09-23 | Fuji Electric Co., Ltd. | Grid connected inverter, and method for reducing grid frequency variation |
| CN111900745A (en) * | 2020-07-17 | 2020-11-06 | 江苏科能电力工程咨询有限公司 | Hybrid energy storage frequency division coordination control system for stabilizing wind power fluctuation |
| CN112583033A (en) * | 2020-12-02 | 2021-03-30 | 清华四川能源互联网研究院 | Virtual inertia coordination control method and device based on energy storage charge state |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113872222B (en) | 2024-01-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lin et al. | Overview of frequency-control technologies for a VSC-HVDC-integrated wind farm | |
| CN109066726B (en) | Frequency safety emergency coordination optimization control method integrating multiple measures | |
| CN109768582B (en) | Virtual synchronous generator control method under multi-constraint condition | |
| CN104065093B (en) | A kind of wind based on low-pass filtering storage predictive coordinated control method | |
| CN107681688B (en) | Grid-connected converter with VSG (voltage source generator) characteristics and island judgment method and device thereof | |
| CN106505569B (en) | A method of asynchronous sending end provincial power network high-frequency cutting machine strategy is formulated in analysis | |
| KR101566296B1 (en) | Frequency Control System in Power System | |
| CN113746134A (en) | Feasible domain calculation method for inertia and primary frequency modulation control parameters of photovoltaic unit | |
| CN111507004A (en) | Method for evaluating maximum transmission capability of direct current tie line | |
| CN105552945A (en) | Battery energy storage system | |
| CN111327047A (en) | Method and system for determining multi-alternating-current section power transmission capacity of cascaded power grid | |
| CN110994589B (en) | Online evaluation method and system for frequency modulation capability of power electronic access power system | |
| CN110350540B (en) | Fine load shedding method based on-line estimation of load frequency characteristic | |
| CN115313443A (en) | Frequency modulation state transfer control method based on energy storage virtual inertia requirement | |
| CN111740416B (en) | Target cascade analysis-based receiving-end power grid direct-current maximum feed-in quantity evaluation method | |
| CN113872222A (en) | Self-adaptive control method device for rotational inertia of double-high-characteristic power system | |
| CN114004090B (en) | High-frequency cutting machine scheme progressive correction optimization method considering unit frequency-related characteristics | |
| CN116937546A (en) | Wind storage grid connection considered power grid low-frequency oscillation suppression method and system | |
| CN111313466A (en) | Sending-end power grid AGC optimization regulation and control method and system based on wind power priority regulation | |
| CN115133554A (en) | Energy storage primary frequency modulation comprehensive control method based on double-layer constraint | |
| CN113178879B (en) | Frequency recovery control method suitable for multiple virtual synchronous machines | |
| CN114614504A (en) | Energy storage capacity quantitative evaluation method considering frequency support requirement and low-voltage ride through | |
| CN112865071B (en) | Frequency offset prediction method under distributed photovoltaic high permeability of direct current receiving end power grid | |
| CN115149548A (en) | Energy storage virtual inertia calculation method and terminal based on frequency safety rise and fall time | |
| CN115333121A (en) | Cooperative control strategy for improving frequency stability of high-proportion new energy power system |
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 |