CN111740445B - Renewable energy grid-connected power scheduling method and system - Google Patents

Renewable energy grid-connected power scheduling method and system Download PDF

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CN111740445B
CN111740445B CN202010586954.0A CN202010586954A CN111740445B CN 111740445 B CN111740445 B CN 111740445B CN 202010586954 A CN202010586954 A CN 202010586954A CN 111740445 B CN111740445 B CN 111740445B
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storage system
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power
state
scheduling interval
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CN111740445A (en
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孙锲
王伟
袁宝强
马翠萍
杜慕
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Shandong University
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    • 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
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • 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
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • 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
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

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Abstract

The invention discloses a power scheduling method and a power scheduling system for renewable energy grid connection, wherein the power scheduling method comprises the following steps: setting the power of renewable energy grid connection in the current scheduling interval based on the predicted power and scheduling interval of the renewable energy and the charge-discharge state and charge state of the energy storage system in the previous scheduling interval; and predicting the charge state of the energy storage system, controlling the charge and discharge state of the energy storage system based on the set power of renewable energy grid connection and the predicted charge state of the energy storage system, and regulating the grid connection power of the previous scheduling interval when the charge and discharge of the energy storage system are switched so that the energy storage system always operates between the set charge states. The energy storage system is used for adjusting the volatility and uncertainty of the renewable energy, the efficient cooperation with the power dispatching mechanism and the economic utilization of the energy storage system are realized, and therefore the penetration of the renewable energy in the energy system is promoted.

Description

Renewable energy grid-connected power scheduling method and system
Technical Field
The invention belongs to the technical field of power dispatching, and particularly relates to a power dispatching method and system for renewable energy grid connection.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the rapid increase of power demand and the global background of coping with climate change together, the green and low-carbon transformation of energy has become a consensus, the global energy supply subject will continue to transit to non-fossil energy in the future, and renewable energy will accelerate to become the subject of energy increase. However, renewable energy sources tend to be characterized by a high degree of uncertainty and large fluctuations (or intermittency) due to natural and climatic conditions. These characteristics pose significant challenges to the planning and operation of power systems, particularly when they are connected to the grid, in terms of grid interconnection, power quality, and system reliability. In order to reduce the influence of these characteristics on the power grid, a manner of combining renewable energy sources with an energy storage system is often adopted, wherein the energy storage system adjusts the power of the renewable energy sources in a grid-connected manner by absorbing and releasing energy, and the adjusting process belongs to a power dispatching method.
The current power dispatching method mainly comprises a low-pass filter method, a spectrum analysis method, an average power method, a maximum-minimum power method and the like. The inventor finds the following problems in the power dispatching methods in research:
the low-pass filter method and the spectrum analysis method aim at processing high-frequency fluctuation into low-frequency fluctuation, the cooperative cooperation with a power dispatching mechanism is not considered, and the two methods respectively have the defects of phase delay and calculation delay due to the characteristics of the two methods and are not suitable for large-area grid connection of renewable energy sources.
The average power method meets the requirements of the current power dispatching mechanism, but in the operation process, the service life of the energy storage system is often reduced due to frequent charging and discharging, and although the energy storage system can be used for large-area grid connection of renewable energy sources, the economy is poor.
The maximum-minimum power method aims at improving the economy of the energy storage system, but cannot give consideration to the cooperative cooperation with a power dispatching mechanism, and is not suitable for large-area grid connection of renewable energy sources.
Therefore, the methods cannot simultaneously achieve efficient cooperation with the power dispatching mechanism and a grid-connected dispatching goal of high energy storage system economy.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides the renewable energy grid-connected power scheduling method, which can efficiently cooperate with a power scheduling mechanism and prolong the service life of an energy storage system, thereby realizing renewable energy grid-connected power scheduling with high energy storage system economy.
In order to achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
a power scheduling method for renewable energy grid connection comprises the following steps:
setting the power of renewable energy grid connection in the current scheduling interval based on the predicted power and scheduling interval of the renewable energy and the charge-discharge state and charge state of the energy storage system in the previous scheduling interval;
and predicting the charge state of the energy storage system, controlling the charge and discharge state of the energy storage system based on the set power of renewable energy grid connection and the predicted charge state of the energy storage system, and regulating the grid connection power of the previous scheduling interval when the charge and discharge of the energy storage system are switched so that the energy storage system always operates between the set charge states.
According to the further technical scheme, the power of renewable energy source grid connection in the current scheduling interval is set, so that the energy storage system only has one of charging or discharging state in each scheduling interval, and the energy storage system is converted from discharging to charging only when the charge state of the energy storage system reaches a preset minimum value; and when the charge state of the energy storage system reaches a preset maximum value, the energy storage system is switched from charging to discharging.
According to the further technical scheme, when the power of the renewable energy source is predicted, the generated power of the renewable energy source in the current scheduling interval and the generated power of the renewable energy source in the next scheduling interval are predicted before the scheduling of the current scheduling interval is started, so that the upper limit and the lower limit of the predicted power of the current scheduling interval and the next scheduling interval are determined.
According to the technical scheme, when the state of charge of the energy storage system in the last scheduling interval is predicted, the scheduling power of the current scheduling interval is determined based on the charging and discharging state of the energy storage system when the last scheduling interval is finished and the renewable energy source prediction power interval of the current scheduling interval, and the state of charge of the energy storage system when the current scheduling interval is finished is predicted according to the scheduling power.
According to the technical scheme, when the state of the energy storage system is charging in the last scheduling interval, firstly, the state of the energy storage system is assumed to be charging in the current scheduling interval, and the scheduling power is the minimum value of the lower limit of the predicted power interval in the current scheduling interval.
According to the technical scheme, when the state of the energy storage system is discharging in the last scheduling interval, firstly, the energy storage system state in the current scheduling interval is assumed to be discharging, and the scheduling power is the maximum value of the upper limit of the predicted power interval in the current scheduling interval.
According to the further technical scheme, when the grid-connected power of the previous scheduling interval of the energy storage system is adjusted, when the energy storage system state of the previous scheduling interval is charging and the charge state meets the set range, the energy storage system state of the next scheduling interval is assumed to be still charging, and the scheduling power is the minimum value of the lower limit of the predicted power interval in the next scheduling interval.
According to the further technical scheme, when the energy storage system state of the previous scheduling interval is discharging and the state of charge meets the set range, the energy storage system state of the next scheduling interval is assumed to be discharging, and the scheduling power is the maximum value of the upper limit of the predicted power interval in the next scheduling interval.
According to the further technical scheme, when the state of the energy storage system of the previous scheduling interval is charging and does not meet the set range of the state of charge, the state of the energy storage system of the current scheduling interval is discharging or charging, the scheduling power is determined based on the state of the energy storage system, the state of charge of the energy storage system at the end of the current scheduling interval is calculated, the state of charge at the moment should meet the set range, the state of the energy storage system of the next scheduling interval is assumed to be discharging or charging, and the scheduling power is determined based on the discharging or charging.
On the other hand, a renewable energy grid-connected power scheduling system is disclosed, comprising:
a renewable energy grid-connected power setting module configured to: setting the power of renewable energy grid connection in the current scheduling interval based on the predicted power and scheduling interval of the renewable energy and the charge-discharge state and charge state of the energy storage system in the previous scheduling interval;
an energy storage system charge-discharge state control module configured to: and predicting the charge state of the energy storage system, controlling the charge and discharge state of the energy storage system based on the set power of renewable energy grid connection and the predicted charge state of the energy storage system, and regulating the grid connection power of the previous scheduling interval when the charge and discharge of the energy storage system are switched so that the energy storage system always operates between the set charge states.
In another aspect, an integrated energy system is disclosed, comprising: the system comprises a renewable energy power generation device, an energy storage system, a power conversion system and a power converter;
the renewable energy power generation device and the energy storage system are respectively connected to a public coupling point through respective corresponding power conversion systems, the public coupling point transmits electric energy to a power grid through a power converter, and the power conversion system is configured to enable the energy storage system to operate between set charge states by adopting a renewable energy grid-connected power scheduling method.
The above one or more technical solutions have the following beneficial effects:
according to the technical scheme, the fluctuation and uncertainty of the renewable energy are adjusted by the energy storage system, efficient cooperation with the power dispatching mechanism and economic utilization of the energy storage system are achieved, and accordingly penetration of the renewable energy in the energy system is promoted.
According to the power dispatching method and the energy storage system capacity optimization method, the dispatching intervals set by the power dispatching mechanism can be efficiently and flexibly matched, the dispatching of the power dispatching mechanism is facilitated, the energy storage system can strictly operate between the set charge states through controlling the charge states of the energy storage system, the service life of the energy storage system is facilitated to be maximized, and the economy of the whole system is improved. In summary, the method is suitable for large-area grid connection which can be in the field.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a diagram of an integrated energy system according to an embodiment of the present invention;
FIG. 2 is a flowchart of a scheduling method according to an embodiment of the present invention;
in the figure, 1 renewable energy power generation device, 2 energy storage system, 3 power conversion system, 4 point of common coupling, 5 power converter, 6 power grid.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
The embodiment discloses a power scheduling method for renewable energy grid connection, which is characterized in that based on power prediction of renewable energy and scheduling interval requirements of a power grid scheduling mechanism and charge-discharge state and charge state of an energy storage system in a previous scheduling interval, the power of the renewable energy grid connection in the current scheduling interval is preliminarily set, so that the energy storage system only has one of charge state and discharge state in each scheduling interval, and only when the charge state of the energy storage system reaches a preset minimum value, the energy storage system is converted from discharge to charge; when the state of charge of the energy storage system reaches a preset maximum value, the energy storage system is switched from charging to discharging.
It should be noted that the power grid/power dispatching mechanism is divided into five levels, namely, a national dispatching center, a network bureau dispatching center, a provincial dispatching center, a regional dispatching center and a county dispatching center. The disclosed embodiment relates to provincial and above, in particular to each province, autonomous region and direct administration city power grid company. The power grid companies are responsible for the safe operation of the provincial power grid according to the unified scheduling and hierarchical management principle and are managed according to the specified power generation plan and monitoring principle, so that the power quality and the economic operation level are improved. The dispatching center comprises a specific dispatching server which is communicated with the comprehensive energy system.
The generated power of the comprehensive energy system needs to be uniformly scheduled by a power grid company after being connected to the power grid, the scheduling is time interval, namely once every minute, and the comprehensive energy system reports the own power generation plan so as to facilitate the scheduling of the power grid company, for example, the photovoltaic is generally 15 minutes, and the wind power can be 1 hour.
The power converter is used for converting direct current into alternating current; the power conversion system is the means to control power, and both the power generation device and the energy storage system are controlled by the conversion system.
The charging and discharging states of the energy storage system are controlled by predicting the charging state of the energy storage system, and the energy storage system is ensured to always accurately operate between the specified charging states by adjusting the grid-connected power of the previous scheduling interval when the charging and discharging of the energy storage system are switched.
As shown in fig. 1, the power dispatching method proposed in this patent is implemented by an integrated energy system, i.e., a renewable energy-energy storage system in the figure. Wherein P iss(t) Power Generation from renewable energy, Pb(t) is the energy storage system power, PdAnd (t) is the renewable energy source-energy storage system grid-connected power. The relationship between them is:
Pb(t)=Pd(t)-Ps(t)#(1)
the energy absorbed or released by the energy storage system at times 0-t can be calculated by equation (2):
Figure BDA0002555023820000061
the scheduling method mainly comprises the following operation steps:
recording the current scheduling interval as the ith scheduling interval, and predicting the generated power of the renewable energy source in the current scheduling interval and the next scheduling interval before the scheduling of the current scheduling interval is started, so as to determine the upper limit and the lower limit of the predicted power of the current scheduling interval and the next scheduling interval, specifically:
the renewable energy power generation power can be predicted by adopting different prediction methods, the error of the adopted prediction method is assumed to be E, the confidence interval of the upper limit and the lower limit of the predicted power is assumed to be delta, and the deterministic point predicted value of the renewable energy power generation power is assumed to be Pf(t), predicting the upper power limit Pfu(t) and lower limit Pfl(t) can be calculated by the formula (3):
Figure BDA0002555023820000062
in addition, an optimal confidence interval δ, which is closely related to the error E of the prediction method, can be determined by economic evaluation.
Determining the scheduling power of the current scheduling interval based on the charging and discharging state of the energy storage system at the end of the previous scheduling interval and the renewable energy source prediction power interval of the current scheduling interval, and predicting the charging state of the energy storage system at the end of the current scheduling interval according to the determined scheduling power, wherein the two situations are specifically as follows:
when the state of the energy storage system is charging in the last scheduling interval, firstly, the energy storage system state in the current scheduling interval is assumed to be charging, and power is scheduled
Figure BDA0002555023820000071
For the minimum of the lower bound of the predicted power interval in the current scheduling interval, i.e.
Figure BDA0002555023820000072
The state of charge SOC of the energy storage system at the end of the current scheduling interval is then calculated according to equation (5), i.e.
Figure BDA0002555023820000073
Wherein t is0Indicates the starting instant, which here shall be the instant at which the last scheduling interval ended, tiWhich indicates a time after the start time, here the end of the current scheduling interval,
Figure BDA0002555023820000074
is the capacity of the energy storage system.
When the state of the energy storage system is discharging in the last scheduling interval, firstly, assuming that the state of the energy storage system is discharging in the current scheduling interval, and scheduling power
Figure BDA0002555023820000075
For predicting the maximum value of the upper limit of the power interval in the current scheduling interval, i.e.
Figure BDA0002555023820000076
The state of charge of the energy storage system at the end of the current scheduling interval is then calculated also according to equation (5).
Determining whether the state of charge at the end of the current scheduling interval satisfies equation (7)
SOCl≤SOC(t)≤SOCu#(7)
There are four cases depending on whether the state of charge at the end of the current scheduling interval satisfies equation (7):
1) when the energy storage system state of the previous scheduling interval is charging and the formula (7) is satisfied, the energy storage system state of the next scheduling interval is still charging, and the power is scheduled
Figure BDA0002555023820000077
For the minimum of the lower bound of the predicted power interval in the next scheduling interval, i.e.
Figure BDA0002555023820000081
2) When the energy storage system state of the previous scheduling interval is discharging and the formula (7) is satisfied, the energy storage system state of the next scheduling interval is still discharging, and the power is scheduled
Figure BDA0002555023820000082
For predicting the maximum value of the upper limit of the power interval in the next scheduling interval, i.e.
Figure BDA0002555023820000083
3) And when the state of the energy storage system in the previous scheduling interval is charging and does not satisfy the formula (7), the state of the energy storage system in the current scheduling interval is discharging, the scheduling power is determined according to the formula (6), the charge state of the energy storage system at the end of the current scheduling interval is continuously calculated according to the formula (5), the charge state at the moment should satisfy the formula (7), the state of the energy storage system in the next scheduling interval is discharging, and the scheduling power is determined according to the formula (9).
4) And when the state of the energy storage system in the previous scheduling interval is discharging and does not satisfy the formula (7), the state of the energy storage system in the current scheduling interval is charging, the scheduling power is determined according to the formula (4), the charge state of the energy storage system at the end of the current scheduling interval is continuously calculated according to the formula (5), the charge state at the moment should satisfy the formula (7), the state of the energy storage system in the next scheduling interval is charging, and the scheduling power is determined according to the formula (8).
Predicting the state of charge of the energy storage system at the end of the next scheduling interval according to the power sum (5) of the next scheduling interval determined in the previous step, wherein t0At the end of the scheduling interval, tiThe time when the next scheduling interval ends. And then judging whether the charge state meets the formula (7), if so, the scheduling power of the scheduling interval is the value assumed in the step, if not, the scheduling power of the scheduling interval needs to be corrected, and the correction process is divided into two conditions according to the charge and discharge conditions of the energy storage system in the scheduling interval assumed in the step:
1) when the energy storage system is charged, the power is scheduled at the scheduling interval
Figure BDA0002555023820000084
Is modified to:
Figure BDA0002555023820000085
wherein, TdIndicating the duration of a scheduling interval, which value is set by the power scheduling mechanism, SOC [ (i-1) T)d]Indicating the state of charge of the energy storage system at the end of the last scheduling interval.
2) When the energy storage system is discharged, the power is scheduled at the scheduling interval
Figure BDA0002555023820000091
Is modified to:
Figure BDA0002555023820000092
the above-described operational steps are represented in a flow chart as shown in fig. 2.
When the comprehensive energy system adopts the power dispatching method, the capacity of the required energy storage system has a set of unique determination method and has an optimal capacity which enables the economic performance of the whole system to be optimal.
Before the power dispatching method is adopted, simulation operation can be carried out through the historical power generation data of the comprehensive energy system and a power prediction method, and then the optimal capacity of the energy storage system is determined.
And configuring an energy storage system with optimal capacity, wherein the economic efficiency of the scheduling method is optimal.
The capacity determination and optimization of the energy storage system mainly comprises two steps:
determining the basic capacity of the energy storage system;
to determine the basic capacity of the energy storage system, the power of the energy storage system in each scheduling interval is first analyzed, and the energy storage system needs to have in a certain scheduling interval jLowest power of the device
Figure BDA0002555023820000093
Can be determined by equation (12):
Figure BDA0002555023820000094
the energy storage system needs to have the lowest capacity in a certain scheduling interval j
Figure BDA0002555023820000095
Can be determined by equation (13):
Figure BDA0002555023820000096
in determining the lowest power
Figure BDA0002555023820000097
And minimum capacity
Figure BDA0002555023820000098
It should be noted that the charging and discharging conditions of the energy storage system are considered at the same time in each scheduling interval, and the larger value of the two conditions is taken. Then, assuming that the total number of the scheduling intervals is N and the charging and discharging depth of the energy storage system is η, comparing the minimum power taken by all N scheduling intervals, where the maximum value is the basic power required by the energy storage system, and the basic capacity needs to consider the charging and discharging depth and the actual operation requirement, as shown in formula (14):
Figure BDA0002555023820000101
optimizing the capacity of the energy storage system: according to a set economic objective function, searching the optimal capacity which enables the system to have the highest economic efficiency from the basic capacity in a linear optimization mode;
after the fundamental capacity of the energy storage system is determined, the energy storage system may be passedSetting a desired objective function for the system, e.g., c, for energy storage system cycle numberTAnd total grid-connected energy E of systemdThe capacity of the energy storage system is optimized according to the relation between:
Figure BDA0002555023820000102
or
Figure BDA0002555023820000103
The optimization process can adopt a linear optimization method to search a value for optimizing the objective function between the capacity of the energy storage system as a basic capacity and the total grid-connected energy.
On the other hand, based on the same inventive concept, a power dispatching system for renewable energy grid connection is disclosed, which comprises:
a renewable energy grid-connected power setting module configured to: setting the power of renewable energy grid connection in the current scheduling interval based on the predicted power and scheduling interval of the renewable energy and the charge-discharge state and charge state of the energy storage system in the previous scheduling interval;
an energy storage system charge-discharge state control module configured to: and predicting the charge state of the energy storage system, controlling the charge and discharge state of the energy storage system based on the set power of renewable energy grid connection and the predicted charge state of the energy storage system, and regulating the grid connection power of the previous scheduling interval when the charge and discharge of the energy storage system are switched so that the energy storage system always operates between the set charge states.
In another aspect, an integrated energy system is disclosed, comprising: the system comprises a renewable energy power generation device, an energy storage system, a power conversion system and a power converter;
the renewable energy power generation device and the energy storage system are respectively connected to a public coupling point through respective corresponding power conversion systems, the public coupling point transmits electric energy to a power grid through a power converter, and the power conversion system is configured to enable the energy storage system to operate between set charge states by adopting the renewable energy grid-connected power scheduling method.
On the other hand, based on the same inventive concept, a computer-readable storage medium is disclosed, on which a computer program is stored, which, when being executed by a processor, performs the above-mentioned power scheduling method steps of renewable energy grid connection.
The steps involved in the apparatus of the above embodiment correspond to the first embodiment of the method, and the detailed description thereof can be found in the relevant description of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media containing one or more sets of instructions; it should also be understood to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any of the methods of the present invention.
Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using general purpose computer means, or alternatively, they can be implemented using program code that is executable by computing means, such that they are stored in memory means for execution by the computing means, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps of them are fabricated into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (6)

1. A power scheduling method for renewable energy grid connection is characterized by comprising the following steps:
setting the power of renewable energy grid connection in the current scheduling interval based on the predicted power and scheduling interval of the renewable energy and the charge-discharge state and charge state of the energy storage system in the previous scheduling interval;
predicting the charge state of the energy storage system, controlling the charge and discharge state of the energy storage system based on the set power of renewable energy grid connection and the predicted charge state of the energy storage system, and enabling the energy storage system to always operate between the set charge states by adjusting the grid connection power of the previous scheduling interval when the charge and discharge of the energy storage system are converted;
when the charge state of the energy storage system is predicted, determining the scheduling power of the current scheduling interval based on the charge-discharge state of the energy storage system in the previous scheduling interval and the renewable energy source prediction power interval of the current scheduling interval, and predicting the charge state of the energy storage system when the current scheduling interval is finished according to the scheduling power;
when the state of the energy storage system is charging in the last scheduling interval, firstly, the state of the energy storage system in the current scheduling interval is assumed to be charging, and the scheduling power is the minimum value of the lower limit of the predicted power interval in the current scheduling interval;
when the state of the energy storage system is discharging in the last scheduling interval, firstly, the state of the energy storage system in the current scheduling interval is assumed to be discharging, and the scheduling power is the maximum value of the upper limit of the predicted power interval in the current scheduling interval;
when the state of the energy storage system of the previous scheduling interval is charging and the predicted state of charge at the end of the current scheduling interval meets the set range, assuming that the state of the energy storage system of the next scheduling interval is still charging, the scheduling power is the minimum value of the lower limit of the predicted power interval in the next scheduling interval, and predicting the state of charge of the energy storage system at the end of the next scheduling interval;
when the state of the energy storage system in the previous scheduling interval is discharging and the predicted state of charge at the end of the current scheduling interval meets the set range, assuming that the state of the energy storage system in the next scheduling interval is still discharging, the scheduling power is the maximum value of the upper limit of the predicted power interval in the next scheduling interval, and predicting the state of charge of the energy storage system at the end of the next scheduling interval;
when the grid-connected power of the previous scheduling interval for adjusting the charging and discharging of the energy storage system to be converted occurs when the predicted charging state of the energy storage system does not meet the set charging state range when the next scheduling interval is finished, the charging and discharging state of the energy storage system needs to be converted at the next scheduling interval, and at the moment, because the state of the energy storage system at the current scheduling interval is determined to be discharging or charging, the scheduling power of the current scheduling interval needs to be calculated based on the charging state of the energy storage system at the end of the previous scheduling interval and the set lower limit or upper limit of the operating interval of the charging state, so that the charging state of the energy storage system at the end of the current scheduling interval just reaches the lower limit or upper limit of the set operating interval.
2. The method according to claim 1, wherein the power of the renewable energy grid connection in the current scheduling interval is set so that the energy storage system has only one of a charging state and a discharging state in each scheduling interval, and the energy storage system is switched from discharging to charging only when the state of charge of the energy storage system reaches a preset minimum value; and when the charge state of the energy storage system reaches a preset maximum value, the energy storage system is switched from charging to discharging.
3. The method according to claim 1, wherein when the power of the renewable energy source is predicted, the power generated by the renewable energy source in the current and next scheduling intervals is predicted before the scheduling of the current scheduling interval is started, so as to determine the upper and lower limits of the predicted power of the current and next scheduling intervals.
4. A power dispatching system for renewable energy grid connection is characterized by comprising:
a renewable energy grid-connected power setting module configured to: setting the power of renewable energy grid connection in the current scheduling interval based on the predicted power and scheduling interval of the renewable energy and the charge-discharge state and charge state of the energy storage system in the previous scheduling interval;
an energy storage system charge-discharge state control module configured to: predicting the charge state of the energy storage system, controlling the charge and discharge state of the energy storage system based on the set power of renewable energy grid connection and the predicted charge state of the energy storage system, and enabling the energy storage system to always operate between the set charge states by adjusting the grid connection power of the previous scheduling interval when the charge and discharge of the energy storage system are converted;
when the charge state of the energy storage system is predicted, determining the scheduling power of the current scheduling interval based on the charge-discharge state of the energy storage system in the previous scheduling interval and the renewable energy source prediction power interval of the current scheduling interval, and predicting the charge state of the energy storage system when the current scheduling interval is finished according to the scheduling power;
when the state of the energy storage system is charging in the last scheduling interval, firstly, the state of the energy storage system in the current scheduling interval is assumed to be charging, and the scheduling power is the minimum value of the lower limit of the predicted power interval in the current scheduling interval;
when the state of the energy storage system is discharging in the last scheduling interval, firstly, the state of the energy storage system in the current scheduling interval is assumed to be discharging, and the scheduling power is the maximum value of the upper limit of the predicted power interval in the current scheduling interval;
when the state of the energy storage system of the previous scheduling interval is charging and the predicted state of charge at the end of the current scheduling interval meets the set range, assuming that the state of the energy storage system of the next scheduling interval is still charging, the scheduling power is the minimum value of the lower limit of the predicted power interval in the next scheduling interval, and predicting the state of charge of the energy storage system at the end of the next scheduling interval;
when the state of the energy storage system in the previous scheduling interval is discharging and the predicted state of charge at the end of the current scheduling interval meets the set range, assuming that the state of the energy storage system in the next scheduling interval is still discharging, the scheduling power is the maximum value of the upper limit of the predicted power interval in the next scheduling interval, and predicting the state of charge of the energy storage system at the end of the next scheduling interval;
when the grid-connected power of the previous scheduling interval for adjusting the charging and discharging of the energy storage system to be converted occurs when the predicted charging state of the energy storage system does not meet the set charging state range when the next scheduling interval is finished, the charging and discharging state of the energy storage system needs to be converted at the next scheduling interval, and at the moment, because the state of the energy storage system at the current scheduling interval is determined to be discharging or charging, the scheduling power of the current scheduling interval needs to be calculated based on the charging state of the energy storage system at the end of the previous scheduling interval and the set lower limit or upper limit of the operating interval of the charging state, so that the charging state of the energy storage system at the end of the current scheduling interval just reaches the lower limit or upper limit of the set operating interval.
5. Comprehensive energy system, characterized by includes: the system comprises a renewable energy power generation device, an energy storage system, a power conversion system and a power converter;
the renewable energy power generation device and the energy storage system are respectively connected to a point of common coupling through respective corresponding power conversion systems, and the point of common coupling sends electric energy to a power grid through a power converter, wherein the power conversion system is configured to adopt the renewable energy grid-connected power scheduling method of any one of claims 1 to 3 or the system of claim 4 to enable the energy storage system to operate between set states of charge.
6. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the renewable energy grid connected power scheduling method steps of claims 1 to 3.
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