CN113872222B - Self-adaptive control method and device for rotational inertia of dual-high-characteristic power system - Google Patents
Self-adaptive control method and device for rotational inertia of dual-high-characteristic power system Download PDFInfo
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- CN113872222B CN113872222B CN202111327799.1A CN202111327799A CN113872222B CN 113872222 B CN113872222 B CN 113872222B CN 202111327799 A CN202111327799 A CN 202111327799A CN 113872222 B CN113872222 B CN 113872222B
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- 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
Abstract
The invention provides a self-adaptive control method and device for rotational inertia of a dual-high characteristic power system, which relate to the technical field of wind power and comprise the following steps: the method provided by the invention can realize the estimation of the inertia level space-time characteristics in the inertia response process of the system, and further adjust the coordination and 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 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 rotational inertia of a double-high-characteristic power system.
Background
The power grid in China gradually forms the characteristic of double high containing high proportion renewable energy sources and high proportion power electronic equipment, and compared with the traditional power grid powered by a synchronous generator, the novel energy sources in the double high power system are mostly connected into the power grid by power electronic devices such as a grid-connected inverter and the like, but the novel energy sources cannot provide rotational inertia for the system like the synchronous generator, and the inertia of the system is lower along with the increase of the proportion. In this case, the system becomes more sensitive to fluctuations in frequency at the time of disturbance, severely threatening the stable operation of the system.
The inertia can slow down the system frequency change in the arresting period, strives for time for the primary frequency modulation of the power grid, but because the inertia of the novel power system with the characteristic of double high is lower, when the frequency fluctuation occurs, the frequency change is fast, the maximum deviation value of the power grid frequency is larger, the system protection mechanism is triggered with higher probability, and the power system blackout accidents such as the power system blackout accidents of ' 9.28 ', 8.9 ' in the United kingdom and the like are caused when serious, and the reasons are related to the system inertia deficiency caused by high-proportion new energy access. In addition, as part of users have higher requirements on power supply quality and strict requirements on power supply frequency, huge losses are caused by power grid frequency fluctuation.
Although various inertia and frequency support control technologies for novel sources, loads, storage interfaces and direct current transmission system converters can improve the inertia response capability of a power system and reduce the safe operation pressure of a large power grid, how to realize the estimation of inertia level space-time characteristics in the inertia response process of the system under the background of a double-high power system with high-proportion new energy and high-proportion power electronization, and further adjust the coordination and coordination of inertia support response of various parts of the system so as to meet various stability constraint conditions and improve the safe and stable operation capability of the system is still a problem to be solved.
Disclosure of Invention
In view of the above, the invention aims to provide a self-adaptive control method and device for moment of inertia of a dual-high characteristic power system, so as to estimate the moment of inertia characteristics of the inertia level in the inertial response process of the system, further adjust the coordination and coordination of the inertia support responses of all parts of the system, meet various stability constraint conditions and improve the safe and stable operation capability of the system.
The invention provides a self-adaptive control method for rotational inertia of a dual-high characteristic power system, which comprises 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.
Preferably, the step of 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 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:
H＝k 3 SOC B H 0 SOC＜20％
k 3 the B-power grid system energy storage is an adjustment coefficient under the condition that the SOC is less than 20%;
state of charge of the SOC-energy storage element;
the inertia support of the H-power grid system output;
H 0 the amount of inertia of the system when it is operating normally.
Preferably, the step of 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 includes:
if the state of charge of the energy storage element is greater than 20% and less than 90%, the inertia support of the grid system output is:
k 1 、k 2 -adjusting the coefficients;
Δk x parameter adjustment step size
The beta and the delta f respectively define maximum fluctuation values for a system frequency fluctuation threshold value and a system frequency;
f m -a system nominal frequency;
f-system actual frequency.
Preferably, the step of 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 includes:
if the state of charge of the energy storage element is greater than 90%, the inertia support output by the power grid system is:
H＝k 4 (1-SOC) C H 0 SOC＞90％
k 4 and the adjustment coefficient of the C-system energy storage under the condition that the SOC is more than 90 percent.
Preferably, the inertia H during normal operation of the system is obtained by using the following formula 0 ：
The number of synchronous machines in the n-system;
J s,k ，p n,k the moment of inertia and the pole pair number of the synchronous machine K;
S k 、E k rated capacity and kinetic energy of the synchronous machine;
-access to the new energy capacity of the system and the kinetic energy part thereof involved in the inertial links of the system.
In another aspect, the present invention provides a dual high feature power system moment of inertia adaptive control apparatus, comprising:
inertial support acquisition module: and the inertial support device is used for 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.
The embodiment of the invention has the following beneficial effects: the invention provides a self-adaptive control method and device for rotational inertia of a dual-high characteristic power system, which comprise the steps of obtaining the charge state of an energy storage element, and obtaining 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 above objects, features and advantages of the present invention more 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 that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for adaptively controlling rotational inertia of a dual high-characteristic power system according to an embodiment of the present invention;
FIG. 2 is a block diagram of a dual high feature power system according to an embodiment of the present invention;
FIG. 3 is a simulation diagram of a conventional VSG control frequency variation provided by an embodiment of the present invention;
fig. 4 is a frequency variation simulation diagram of a self-adaptive control method for rotational inertia of a dual-high-characteristic power system according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, 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 embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
At present, inertia can slow down the system frequency change in a blocking period, and strives for time for primary frequency modulation of a power grid, but because the inertia of a novel power system with double high characteristics is low, when frequency fluctuation occurs, the frequency change is fast, the maximum deviation value of the power grid frequency is larger, a system protection mechanism is triggered with higher probability, and a large power failure is caused when the system protection mechanism is serious.
For the convenience of understanding the present embodiment, first, a method for adaptively controlling rotational inertia of a dual high-feature power system disclosed in the present embodiment will be described in detail.
With reference to fig. 1 and fig. 2, the present invention provides a self-adaptive control method for rotational inertia of a dual high-characteristic 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 new energy source accessed to the power grid and the control aspect thereof, and the control relationship between the traditional droop control and the virtual synchronous machine (VSG) is:
preferably, the step of 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 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:
H＝k 3 SOC B H 0 SOC＜20％
k 3 the B-power grid system energy storage is an adjustment coefficient under the condition that the SOC is less than 20%;
state of charge of the SOC-energy storage element;
the inertia support of the H-power grid system output;
H 0 the amount of inertia of the system when it is operating normally.
Preferably, the step of 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 includes:
if the state of charge of the energy storage element is greater than 20% and less than 90%, the inertia support of the grid system output is:
k 1 、k 2 -adjusting the coefficients;
Δk x parameter adjustment step size
The beta and the delta f respectively define maximum fluctuation values for a system frequency fluctuation threshold value and a system frequency;
f m -a system nominal frequency;
f-system actual frequency.
In the examples provided herein, β=0.5, Δf=0.02;
preferably, the step of 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 includes:
if the state of charge of the energy storage element is greater than 90%, the inertia support output by the power grid system is:
H＝k 4 (1-SOC) C H 0 SOC＞90％
k 4 and the adjustment coefficient of the C-system energy storage under the condition that the SOC is more than 90 percent.
Preferably, the inertia level H during normal operation of the system is obtained by the following company 0 ：
The number of synchronous machines in the n-system;
J s,k ，p n,k the moment of inertia and the pole pair number of the synchronous machine K;
S k 、E k rated capacity and kinetic energy of the synchronous machine;
-access to the new energy capacity of the system and the kinetic energy part thereof involved in the inertial links of the system.
Embodiment two:
the second embodiment of the invention provides a rotational inertia self-adaptive control device of a dual-high characteristic power system, which comprises:
inertial support acquisition module: and the inertial support device is used for 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.
Compared with the prior art, the invention has the following beneficial effects:
1. in the moment of inertia evaluation and inertia self-adaptive control of the novel power system considering the double-high characteristic, the running stability of the double-high power grid is improved by evaluating the inertia of the system and providing inertial support for different oscillation frequencies of the system by utilizing the self-adaptive control.
2. Compared with the traditional VSG control strategy, the inertia control method considers two limit operation conditions of energy storage, provides inertia for the system, reduces limit charge and discharge times of the energy storage element, and prolongs the service life of the energy storage.
3. The self-adaptive control provided by the method fully considers two aspects of the frequency change speed and the 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 by combining an adjustment coefficient, larger inertia is provided for the system when the frequency change rate is large, and smaller inertia is provided for the system when the frequency change rate is small; on the other hand, the A value determined by the difference value between the real-time frequency and the rated frequency is combined with the adjustment step length, and when the system frequency change value exceeds the set value, inertia is increased by increasing the self-adaptive index, so that support is provided for the system frequency.
In the example, the actual effect of the traditional VSG control method and the self-adaptive control method provided herein is compared with the actual effect of the traditional VSG control method by considering the alternating current bus frequency change condition of the system access load when the energy storage element is in the normal SOC state for 0.5 s. In this example, the adjustment coefficients in the adaptive parameters are respectively: k (k) 1 ＝2,k 2 ＝5,Δk x =8, β=0.5, Δf=0.02, and simulation results are shown.
By combining fig. 3 and fig. 4, it can be seen by comparing the two methods that the method provided herein can more rapidly make the system reach a stable state when the system load changes, and simultaneously make the new steady state frequency value of the system more approximate to the rated frequency, and the degree of change is smaller.
The relative steps, numerical expressions and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
The flowcharts 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 will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In addition, in the description of embodiments of the present invention, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific 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 examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. The self-adaptive control method for the rotational inertia of the double-high-characteristic power system is characterized by comprising the following steps of:
acquiring the charge state of an energy storage element, acquiring an inertial support of a power system based on the charge state of the energy storage element, and adjusting the response coordination of the inertial supports of all parts of the system;
if the state of charge of the energy storage element is greater than 20% and less than 90%, the inertia support of the output of the power grid system is:
k 1 、k 2 -adjusting the coefficients;
Δk x -parameter adjustment step size;
the beta and the delta f respectively define maximum fluctuation values for a system frequency fluctuation threshold value and a system frequency;
f m -system nominal frequency;
f-the actual frequency of the system;
H 0 the amount of inertia of the system during normal operation.
2. The method of claim 1, wherein the step of obtaining a state of charge of the energy storage element, and obtaining 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:
H＝k 3 SOC B H 0 SOC＜20％
k 3 b is an adjustment coefficient of the energy storage of 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;
H 0 the amount of inertia of the system during normal operation.
3. The method of claim 1, wherein the step of obtaining a state of charge of the energy storage element, and obtaining 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 greater than 90%, the inertia support output by the power grid system is
H＝k 4 (1-SOC) C H 0 SOC＞90％
k 4 C is the adjustment coefficient of the system energy storage under the condition that the SOC is more than 90%;
H 0 the amount of inertia of the system during normal operation.
4. A method according to any one of claims 1 to 3, characterized in that the inertia level H of the system in normal operation is obtained by using the following company 0 ：
n-number of synchronous machines in the system;
J s,k ，p n,k -moment of inertia and pole pair number of synchronous machine K;
S k 、E k rated capacity and kinetic energy of the synchronous machine;
-access to the new energy capacity of the system and the kinetic energy part thereof involved in the inertial links of the system.
5. The utility model provides a two high characteristic power system moment of inertia self-adaptation controlling means which characterized in that includes:
inertial support acquisition module: acquiring the charge state of an energy storage element, acquiring an inertial support of a power system based on the charge state of the energy storage element, and adjusting the response coordination of the inertial supports of all parts of the system;
if the state of charge of the energy storage element is greater than 20% and less than 90%, the inertia support of the grid system output is:
k 1 、k 2 -adjusting the coefficients;
Δk x parameter adjustment step size
The beta and the delta f respectively define maximum fluctuation values for a system frequency fluctuation threshold value and a system frequency;
f m -system nominal frequency;
f-the actual frequency of the system;
H 0 the amount of inertia of the system during normal operation.
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| JP6735039B1 (en) * | 2020-03-19 | 2020-08-05 | 富士電機株式会社 | Grid-connected inverter and grid frequency fluctuation suppression method |
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| 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 |
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