CN113644670A - Method and system for optimally configuring energy storage capacity - Google Patents

Method and system for optimally configuring energy storage capacity Download PDF

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CN113644670A
CN113644670A CN202111195092.XA CN202111195092A CN113644670A CN 113644670 A CN113644670 A CN 113644670A CN 202111195092 A CN202111195092 A CN 202111195092A CN 113644670 A CN113644670 A CN 113644670A
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power
capacity
energy storage
energy
new energy
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CN113644670B (en
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代倩
吴俊玲
秦晓辉
张健
张立波
陆润钊
赵姗姗
贺海磊
覃琴
杨京齐
孙玉娇
姜懿郎
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China Electric Power Research Institute Co Ltd CEPRI
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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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • 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
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Abstract

The application discloses a method and a system for energy storage capacity optimal configuration. Wherein, the method comprises the following steps: establishing a production simulation operation model; calculating the power abandon rate of new energy caused by section blockage in a local area according to the production simulation operation model; correcting the new energy power abandonment rate, and determining the corrected new energy power abandonment rate; comparing the corrected new energy power abandon rate with the power abandon rate assessment index, when the new energy power abandon rate is larger than the power abandon rate assessment index, statistically analyzing the corrected new energy power abandon curves of each local area, and obtaining the initial energy storage capacity by using a constant power method; the method comprises the steps of obtaining the optimal configuration time of energy storage based on the cumulative probability of the new energy power abandon time, carrying out optimal configuration on initial energy storage capacity through optimal search according to the optimal configuration time, and determining the energy storage optimal capacity required to be configured when the new energy power abandon rate assessment index is met, wherein the energy storage optimal capacity comprises optimal power capacity and optimal energy capacity.

Description

Method and system for optimally configuring energy storage capacity
Technical Field
The present application relates to the field of power system technologies, and in particular, to a method and a system for optimally configuring energy storage capacity.
Background
The delivery capacity of a local area is limited, so that the delivery of large-scale new energy is blocked, and the delivery and consumption of the new energy are influenced. The large-scale energy storage technology can utilize the space-time transfer characteristic of the electric quantity, charge when the section is blocked, and store energy and discharge when the new energy outgoing power is weakened. How to configure energy storage with reasonable scale as much as possible is a planning technical problem which needs to be researched urgently.
In the face of energy storage planning in a large-scale practical power system, the problem is generally solved by determining an energy storage optimization planning scheme under a researched target and mostly adopting an analytic optimization method of mathematical modeling. Although the mathematical optimization method can guarantee the optimality of the solution theoretically, generally, strict requirements are imposed on the expression of an objective function and a constraint condition, the solving dimension is huge, the solving time is long, most of the results are calculated based on a new energy output and load demand characteristic curve on a typical day, the energy storage capacity configuration research under a large area environment and a large time scale is lacked, and the application in an actual power grid is limited.
The energy storage planning in the existing large power grid comprises the following problems:
(1) firstly, the difference of the category and the characteristic of the conventional unit is not considered in the optimized scheduling model of the production simulation, which is shown in the following steps: the output of all the non-new energy source units is uniformly arranged only by the minimum output, and the actual operation characteristics of the power system are not met; the range of the unit type is narrow, only a thermal power unit, a new energy source unit and an energy storage power station are considered, a plurality of regional power grids and provincial power grids are rich in hydropower in a real power grid, the type and the characteristics of the hydroelectric power unit are not considered in the technology, and modeling and constraint conditions are not considered;
(2) the optimization target of the time sequence production simulation is mostly the maximum target of new energy consumption, the new energy consumption is not executed according to the current three-public scheduling of the power grid in China, and the objective function is considered to be too optimistic.
In the energy storage configuration process, the prior art relies on an optimization solution model, the characteristics of a new energy blocked curve in a current electric power system are not analyzed, and the characteristics of the new energy blocked curve are not analyzed essentially from things. The solving process of the energy storage capacity configuration always depends on the optimization model repeatedly, the solving process needs to depend on the optimization model and the calculation result of new energy consumption every time, and the optimal configuration scale of the energy storage is searched through the dichotomy and the trial and error method, so that the solving time in the whole process is long and the solving efficiency is low.
Disclosure of Invention
The embodiment of the disclosure provides an energy storage capacity optimal configuration method and system for improving the delivery capacity of a new energy large-scale grid-connected local area, and at least solves the technical problem of energy storage planning in the existing power system in the prior art.
According to an aspect of the embodiments of the present disclosure, there is provided a method for energy storage capacity optimization configuration, including: establishing a production simulation operation model; calculating the power abandon rate of new energy caused by section blockage in a local area according to the production simulation operation model; when the new energy power abandon rate is larger than the power abandon rate assessment index, adding energy storage to determine the new energy electric quantity which can be newly increased and decreased and the corrected new energy power abandon rate, and obtaining the initial energy storage capacity meeting the power abandon rate assessment index by using a constant power method according to the corrected new energy power abandon rate; the method comprises the steps of obtaining the optimal configuration time of energy storage based on the cumulative probability of the new energy power abandon time, carrying out optimal configuration on the initial energy storage capacity through optimal search according to the optimal configuration time, and determining the optimal energy storage capacity required to be configured when the new energy power abandon rate assessment index is met, wherein the optimal energy storage capacity comprises the optimal power capacity and the optimal energy capacity.
According to another aspect of the embodiments of the present disclosure, there is also provided a system for energy storage capacity optimization configuration, including: the model building module is used for building a production simulation operation model; the power abandonment rate calculating module is used for calculating the power abandonment rate of new energy resources caused by section blockage in a local area according to the production simulation operation model;
the energy storage initial capacity determining module is used for adding energy storage to determine the newly increased and decreased electric quantity of the new energy and the corrected electricity abandoning rate of the new energy when the electricity abandoning rate of the new energy is greater than the electricity abandoning rate assessment index, and obtaining the energy storage initial capacity meeting the electricity abandoning rate assessment index by using a constant power method according to the corrected electricity abandoning rate of the new energy; and the energy storage optimization capacity determining module is used for obtaining the optimal configuration time of energy storage based on the cumulative probability of the new energy power abandoning time, performing optimization configuration on the initial energy storage capacity through optimization search according to the optimal configuration time, and determining the energy storage optimization capacity required to be configured when the new energy power abandoning rate assessment index is met, wherein the energy storage optimization capacity comprises the optimized power capacity and the optimized energy capacity.
In the invention, models of different types of hydroelectric generating sets, thermal power generating sets, thermoelectric generating sets, new energy generating sets and the like are considered in the time sequence production simulation optimization scheduling model, so that the requirement of model modeling in most provincial regions in China can be met. The objective function of the optimized scheduling model of the time sequence production simulation aims at the best economic benefit and is executed according to the three-fair scheduling as much as possible, so that each type of unit can be scheduled fairly and is connected to the grid for power generation. The energy storage configuration process is simple, and the operability and the guidance are strong, a new energy electricity abandoning curve of a blocked section of a regional power grid is obtained through time sequence simulation, the characteristics of the blocked electricity abandoning curve are analyzed, a probability curve of electricity abandoning duration and the initial configuration scale of energy storage power capacity are obtained, the energy storage configuration process does not depend on an optimization model, an initial value of energy storage power searching is provided, and the solving time is short and the efficiency is high by depending on a statistical analysis method.
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The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a schematic flow chart of a method for energy storage capacity optimization according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of electric power rejected by a new energy source due to the blocked transmission capability of a cross-section tie line according to an embodiment of the disclosure;
fig. 3 is a schematic diagram of the energy storage capacity required for storing the rejected electric power of not more than 1000MW of energy storage power according to an embodiment of the present disclosure;
fig. 4 is a cumulative probability distribution diagram of a new energy power curtailment duration according to an embodiment of the disclosure;
fig. 5 is a timing diagram illustrating annual new energy rejection power in a local area delivery section in a province in northwest according to an embodiment of the disclosure;
FIG. 6 is an effect graph of time durations of different energy storage configurations when the assessment index of 5% of the new energy power curtailment rate is met;
fig. 7 is a block flow diagram of an energy storage capacity optimization algorithm according to an embodiment of the present disclosure;
fig. 8 is a schematic diagram of a system for energy storage capacity optimization according to an embodiment of the present disclosure.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
According to a first aspect of the present embodiment, a method 100 of energy storage capacity optimization is provided. Referring to fig. 1, the method 100 includes:
s102, calculating the power abandon rate of new energy resources caused by section blockage in a local area according to a pre-established production simulation operation model;
s104, when the new energy power abandon rate is larger than the power abandon rate assessment index, adding energy storage to determine the new energy electric quantity which can be newly added and consumed and the corrected new energy power abandon rate, and obtaining the initial energy storage capacity meeting the power abandon rate assessment index by using a constant power method according to the corrected new energy power abandon rate;
s106, obtaining the optimal configuration time of energy storage based on the cumulative probability of the new energy power abandon time, carrying out optimal configuration on the initial energy storage capacity through optimization search according to the optimal configuration time, and determining the energy storage optimization capacity required to be configured when the new energy power abandon rate assessment index is met, wherein the energy storage optimization capacity comprises the optimized power capacity and the optimized energy capacity.
Specifically, in order to meet the requirement of large-scale new energy grid-connected delivery in a local area, when the load-absorbing capacity and the power transmission capacity of a local area tie line in the system are insufficient, an energy storage device with a fast power throughput capacity needs to be newly added, and the capacity of the energy storage device needs to be optimally configured, and the specific scheme is as follows.
(1) Defining each partition and a delivery section, establishing a reasonable economic dispatching production simulation optimization operation model for all units under the current power system, considering the operation constraints of all units in the optimization model, solving the optimization model by using a heuristic algorithm, obtaining a power curve of the new energy delivery section of each new energy enrichment area, and calculating the power curtailment rate of the new energy of each area due to the blocked section.
(2) And defining the acceptable new energy power abandon rate of the system in a certain time scale as an assessment index for assessing the new energy consumption capacity of the system. When the output section of the local area exceeds the new energy power abandonment rate assessment index, a certain energy storage device needs to be installed in the system, and the capacity of the energy storage device is optimally configured.
(3) Analyzing a local area section to send out a new energy power abandoning curve, taking the minimum newly added energy storage capacity as an objective function, carrying out statistical analysis on the power abandoning curve obtained by producing a simulation optimization operation model, obtaining the initial scale of energy storage configuration by using a constant power method and obtaining the optimal configuration time length of the energy storage based on the cumulative probability of the new energy power abandoning time length, and obtaining the optimal capacity configuration scale of the energy storage through optimization search on the basis.
The method comprises the following specific steps:
step 1: establishing a production simulation operation model with minimum annual scheduling operation cost
Step 1-1 objective function
Considering that all power generation type units of the power system participate in the system power generation process fairly, the economic efficiency is best as an objective function, and the specific expression is as follows:
Figure 180752DEST_PATH_IMAGE001
（1）
in the formula:F Gthe unit power generation costs, including operating costs, start-up and shut-down costs;F DRthe cost of invoking a Demand Response (DR) load. Which are respectively represented as:
Figure 268531DEST_PATH_IMAGE002
（2）
Figure 454793DEST_PATH_IMAGE003
（3）
in the formula:Tthe entire time period for production simulation;N G、N DRthe number of the conventional units and the number of the demand response load devices are respectively;u i,t 、z j,t is a variable of 0 to 1 and respectively representstTime interval unitiStart-stop state and load response devicejThe calling state of (2);P Gi,tandP DRj,trespectively representtAnd (4) the output of the time interval unit and the DR equipment.a i 、b i 、c i As a unitiThe power generation cost parameter of (1).S i,t 、D i,t To representtIn the first periodiThe start-up and shut-down costs of the unit,
Figure 646740DEST_PATH_IMAGE004
responding to a load for a demandjThe compensation price of (2).
General constraint conditions in the step 1-2 comprise 1 power balance constraint, 2 rotation standby constraint, 3 thermal power unit output constraint, 4 unit start-stop constraint, 5 unit climbing constraint and 6 thermal power unit security power supply constraint; 7, output constraint of a reservoir type hydroelectric generating set and electric quantity constraint in an adjusting period (year, week and day); 8, output constraint of the radial flow type hydroelectric generating set; 9, new energy output constraint; 10 calling constraint of demand response side load in the system; 11, the charging and discharging power and state conversion constraint, the energy storage capacity constraint, the energy balance constraint at the beginning and the end of the period and the charging and discharging constraint of the existing energy storage equipment.
1) Power balance constraint
Figure 867637DEST_PATH_IMAGE005
（4）
2) Rotational back-up restraint
Figure 362203DEST_PATH_IMAGE006
（5）
3) Thermal power unit output constraint
Figure 425974DEST_PATH_IMAGE007
（6）
4) Unit start-stop time constraints
Figure 529934DEST_PATH_IMAGE008
（7）
Figure 136496DEST_PATH_IMAGE009
（8）
5) Unit climbing restraint
Figure 801964DEST_PATH_IMAGE010
（9）
6) The thermal power unit security power supply is restricted as follows:
Figure 353031DEST_PATH_IMAGE011
（10）
7a) inventory type hydropower output restraint
Figure 496567DEST_PATH_IMAGE012
（11）
7b) Electric quantity restraint in hydroelectric regulation cycle
Figure 190592DEST_PATH_IMAGE013
、
Figure 151595DEST_PATH_IMAGE014
、
Figure 799745DEST_PATH_IMAGE015
（12）
8) Output constraint for radial flow hydropower station
Figure 606027DEST_PATH_IMAGE016
（13）
9) New energy output constraint (suitable for wind power and photovoltaic)
Figure 921601DEST_PATH_IMAGE017
、
Figure 194451DEST_PATH_IMAGE018
（14）
10) DR device invocation constraints
Figure 94012DEST_PATH_IMAGE019
（15）
Figure 703984DEST_PATH_IMAGE020
（16）
The calling DR can not affect the normal production and life of the part of users, and the maximum continuous calling time and the minimum continuous non-calling time of the part of users are limited.
11) Restraint of stored energy
Charge and discharge power and state constraint
Power constraint
Figure 608487DEST_PATH_IMAGE021
（17）
State constraints
Figure 176871DEST_PATH_IMAGE022
（18）
Figure 534034DEST_PATH_IMAGE023
（19）
Figure 947698DEST_PATH_IMAGE024
（20）
② capacity constraint
Figure 706707DEST_PATH_IMAGE025
（21）
Figure 180413DEST_PATH_IMAGE026
（22）
Thirdly, energy balance constraint is carried out at the beginning and the end of the period, and a daily balance model is adopted for energy storage at the position
Figure 523408DEST_PATH_IMAGE027
（23）
In the formula:R d,t、R w,tis composed oft(ii) load reserve for a period of time and wind-powered increased reserve demand;
Figure 475183DEST_PATH_IMAGE028
the transmission capacity of the first connecting line;
Figure 354278DEST_PATH_IMAGE029
is as followshThe power of the station water at time t;
Figure 998886DEST_PATH_IMAGE030
、
Figure 330641DEST_PATH_IMAGE031
、
Figure 227053DEST_PATH_IMAGE032
is as followshGenerating capacity of the platform water in an adjusting period, wherein the adjusting period corresponds to year, week and day respectively;
Figure 819708DEST_PATH_IMAGE033
the rated maximum power of the h hydropower station;
Figure 9119DEST_PATH_IMAGE034
、
Figure 687225DEST_PATH_IMAGE035
respectively the minimum on-off time of the unit.
Figure 387327DEST_PATH_IMAGE036
、
Figure 365648DEST_PATH_IMAGE037
Is composed oftContinuous run and down time before the time of day.
Figure 961845DEST_PATH_IMAGE038
And
Figure 533772DEST_PATH_IMAGE039
the up-down climbing speeds of the unit are respectively. E(t) For storing energy during time periodstThe energy storage capacity of (a);E(0) the capacity at the time of energy storage 0.
Figure 631041DEST_PATH_IMAGE040
，
Figure 837769DEST_PATH_IMAGE041
Respectively an upper limit and a lower limit of the energy storage capacity;
Figure 729502DEST_PATH_IMAGE042
and
Figure 788725DEST_PATH_IMAGE043
the maximum values of the discharge and charge powers, respectively.t=0 andt=T endrespectively representing the scheduling cycle start and end periods,
Figure 689685DEST_PATH_IMAGE044
and
Figure 986805DEST_PATH_IMAGE045
respectively for storing energy during time periodstInternal charging and discharging states, both variables being boolean. The physical meaning of the energy balance constraint at the beginning and the end of the period is that after one scheduling period is finished, the stored energy returns to the initial state to prepare for the charge and discharge operation of the next period.
Step 2: and defining the power abandonment rate of the new energy accepted by the system in the production simulation period as the evaluation index of the new energy consumption capability. And calculating whether the outgoing section has a new energy power abandon phenomenon or not and whether the power abandon rate meets the new energy power abandon rate assessment requirement or not according to the power transmission capacity of the outgoing section of each new energy enrichment area in the system. When the section sent by the local area system exceeds the new energy power abandonment rate assessment index, a certain energy storage device needs to be installed in the system, and the capacity of the energy storage device is optimally configured.
After the unit power-on output can be determined according to the step 1, the network power flow is solved by using a direct current power flow method to obtain the voltage phase angles of all the nodes
Figure 455963DEST_PATH_IMAGE046
And solving the transmission power of the cross section connecting line:
Figure 595958DEST_PATH_IMAGE047
（24）
wherein the content of the first and second substances,
Figure 674510DEST_PATH_IMAGE048
is a local regioniDelivery cross sectionj-kIn the tie linetThe power to be transmitted at the moment of time,
Figure 216350DEST_PATH_IMAGE049
、
Figure 590830DEST_PATH_IMAGE050
is a nodejAndkin thattThe voltage phase angle at a moment in time,X tie-line,j,k which is the direct current resistance of the line,B tie-line,j,k is the susceptance of the line;
superposing the transmission power of the cross section connecting line to determine a local areaiDelivery cross-section power delivery
Figure 483700DEST_PATH_IMAGE051
；
Calculating to obtain the cause break in the local areaNew energy power abandon curve caused by surface blockage
Figure 601829DEST_PATH_IMAGE052
Theoretically, it should be assumed that the new energy in the local area is not limited by peak regulation resources, and the consumption of all new energy is only limited by the output capacity of the outgoing section. In the actual calculation process, electricity abandonment caused by insufficient peak regulation capacity is also caused in a local area, so the electricity abandonment caused by peak regulation is added to the section transmission power, and then the part of the section new energy transmission power exceeding the section transmission capacity is counted according to the section transmission power limit, and the part is a new energy electricity abandonment curve caused by local section blockage. The calculation process of this part is as follows:
Figure 998175DEST_PATH_IMAGE053
（25）
in the formula:
Figure 277978DEST_PATH_IMAGE054
is composed oftTime of dayiThe new energy in the local area is not limited by peak regulation due to the electricity abandoning curve of the section blockage;
Figure 392564DEST_PATH_IMAGE055
is a local regioniElectric power abandon caused by insufficient peak regulation;
Figure 383277DEST_PATH_IMAGE056
is a local regioniThe delivery cross section transmits the power,
Figure 899709DEST_PATH_IMAGE057
the upper limit of the power delivered for the section.
In which the local regioniNew energy power abandon rate due to fracture surface obstruction
Figure 615993DEST_PATH_IMAGE058
The calculation formula of (a) is as follows:
Figure 483455DEST_PATH_IMAGE059
（26）
in the formula:
Figure 208965DEST_PATH_IMAGE060
is a regioniThe internal new energy can be the generated power of grid connection,
Figure 455270DEST_PATH_IMAGE061
for the minimum time interval, take 1 h.
Rate of electricity abandonment
Figure 467088DEST_PATH_IMAGE062
If the power abandonment rate is greater than the power abandonment rate assessment index, energy storage capacity configuration including power and energy capacity needs to be developed. At present, the assessment index of the new energy power abandonment rate in China is 5 percent, taking the example as an example.
And step 3: analyzing the new energy power abandoning curve sent by each local area section, taking the minimum newly added energy storage capacity as a target, carrying out statistical analysis on the power abandoning curve obtained by producing a simulation operation model, obtaining the initial scale of energy storage configuration by using a constant power method and obtaining the optimal configuration time length of energy storage based on the cumulative probability of the new energy power abandoning time length, obtaining the optimal capacity configuration scale of energy storage through optimization search on the basis, and substituting into the step (1) for checking to determine the energy storage scale required to be configured in each area. The specific calculation process is as follows:
if the section new energy power abandon rate exceeds the assessment index, the annual power abandon data of the new energy are analyzed, and the annual power abandon generation times are counted
Figure 664589DEST_PATH_IMAGE063
The longest electricity abandoning time
Figure 52845DEST_PATH_IMAGE064
Maximum electric power draw
Figure 153656DEST_PATH_IMAGE065
Maximum electric energy discard
Figure 336376DEST_PATH_IMAGE066
Power waste rate
Figure 53796DEST_PATH_IMAGE067
。
Referring to fig. 2, based on the above statistical analysis, energy storage capacity configuration is developed, including energy capacity and power capacity. Firstly, the configuration of the initial capacity of the stored energy is carried out based on a constant power method.
Referring to fig. 3, the basic idea based on the constant power method is as follows: taking fig. 1 as an example, if the energy storage power is configured with 1000MW, the energy capacity of the stored energy is not limited, the energy storage can be charged with the section new energy abandoned power which is smaller than the constant power set by the energy storage (i.e., the abandoned power below the dark line), and the power above the red line can not be charged with the stored energy and needs to be abandoned.
If the part below the red line is to be guaranteed to be completely absorbed, the maximum value in the dark area in fig. 3 needs to be counted. If the energy storage of the scale is configured at this moment, the power of the energy storage configuration is not increased any more when the power abandonment rate is not greater than the power abandonment rate assessment index. And if not, continuing to increase the energy storage configuration power until the power abandonment rate meets the assessment index. The method comprises the following specific steps:
step 3-1: obtaining the power abandoning rate of new energy according to statistical analysis
Figure 980164DEST_PATH_IMAGE062
If, if
Figure 935481DEST_PATH_IMAGE062
>5%, the stored energy needs to be configured.
Step 3-2: according to
Figure 289102DEST_PATH_IMAGE068
Dividing power into S gears, and when S =1, setting energy storage power capacity as
Figure 461196DEST_PATH_IMAGE069
。
Step 3-3: energy stored thereinUnder the constraint of rate, calculating the electric quantity of the new energy which can be newly increased and consumed, namely an energy storage rated power straight line and a new energy electricity abandoning curve, namely the area of each dark color area in the graph 3, and calculating the electric quantity
Figure 456833DEST_PATH_IMAGE070
WhereinnIs as followsnA second power down event. After the energy storage power of the s step is added, the new energy power abandon rate is corrected as follows:
Figure 532237DEST_PATH_IMAGE071
（28）
step 3-4: if it is
Figure 197704DEST_PATH_IMAGE072
Less than or equal to 5%, local areaiThe initial capacity configuration of the stored energy is completed. Capacity of output stored energy, power capacity of
Figure 889717DEST_PATH_IMAGE073
Energy capacity of
Figure 157887DEST_PATH_IMAGE074
=max{
Figure 851911DEST_PATH_IMAGE075
,n∈
Figure 812914DEST_PATH_IMAGE076
}。
Step 3-5: if it is
Figure 461064DEST_PATH_IMAGE072
>5% thens= s And +1, continuously raising the energy storage power, and repeating the step 3-3 to the step 3-5.
Since the energy storage capacity configured in steps 3-1 to 3-5 is the largest area of the dark region in fig. 3, it can be known that the probability of occurrence of the event with the largest area is very low, and if such large-scale energy storage is configured, the energy storage utilization rate is insufficient. Therefore, it is necessary to continue to perform optimal configuration on the stored energy, and the specific steps are as follows:
step 3-6: all the electric quantity below the dark line does not need to be charged into the stored energy, and reasonable hours can be selected according to the characteristic of the electricity abandoning curve. The duration with the accumulated probability of the new energy power-off duration accounting for 50% is selected according to the suggested energy storage configuration duration and is recorded asT ref 。
Step 3-7: referring to FIG. 4, the initial capacity allocation scale of energy storage is: (
Figure 267346DEST_PATH_IMAGE077
,
Figure 582921DEST_PATH_IMAGE078
) Calculating an initial value of energy storage power optimization based on the initial energy:
Figure 590191DEST_PATH_IMAGE079
（29）
step 3-8: because of the energy storage under the same energy capacity, the larger the rated power of the energy storage is, the more new energy can be absorbed. Therefore, the stored energy power needs to be adjusted downwards step by step, and the gear is adjusted downwards each time according to the concrete conditions of practical calculation examples
Figure 850272DEST_PATH_IMAGE080
When the power is adjusted downwards for the xth time, the energy storage power is as follows:
Figure 365304DEST_PATH_IMAGE081
（30）
step 3-9: calculating the energy storage power/duration combination (
Figure 269806DEST_PATH_IMAGE082
，
Figure 307032DEST_PATH_IMAGE083
) New energy electric quantity capable of being consumed more in each electricity abandoning event
Figure 929775DEST_PATH_IMAGE084
Comprises the following steps:
Figure 343439DEST_PATH_IMAGE085
（31）
step 3-10: and correcting the power abandonment rate of the new energy in the optimal configuration stage as follows:
Figure 102447DEST_PATH_IMAGE086
（32）
if it is
Figure 576154DEST_PATH_IMAGE087
<5 percent, the rated power of the stored energy is continuously reduced, the iteration times are increased,x=x+1, repeating steps 3-8 to 3-9;
if it is
Figure 919148DEST_PATH_IMAGE088
And when the energy storage capacity is not less than 5%, the energy storage optimal capacity configuration is finished. The capacity of the output stored energy is: a power capacity of
Figure 11869DEST_PATH_IMAGE089
Duration of time
Figure 281177DEST_PATH_IMAGE090
Energy capacity of
Figure 269992DEST_PATH_IMAGE091
；
If it is
Figure 726381DEST_PATH_IMAGE092
And when the energy storage capacity is more than 5%, the configuration of the optimal energy storage capacity is finished. The capacity of the output stored energy is: a power capacity of
Figure 622793DEST_PATH_IMAGE093
Duration of time
Figure 120508DEST_PATH_IMAGE094
Energy capacity of
Figure 936018DEST_PATH_IMAGE095
。
The following are application examples
(1) And collecting and calculating required regional power grid basic parameters according to the requirements.
1) Parameters of power supply
a) The new energy monthly-by-month grid connection capacity and new energy output year 8760 hour normalization sequence all the year around, specifically comprising a wind power and photovoltaic output year 8760 hour normalization sequence;
b) the method comprises the following steps of (1) type of a thermal power unit, number of thermal power units, single capacity of the thermal power unit, upper and lower output limits of the thermal power unit, coal consumption rate, rated power, minimum output, minimum outage hours, annual average planned overhaul hours, forced outage rate and start-stop cost;
c) the heat supply unit: heating period, rated power, minimum output, minimum outage hours, annual average planned maintenance hours, forced outage rate and start-stop cost;
d) hydroelectric generating set (radial flow type and reservoir capacity regulating hydropower): rated power, minimum output, regulation characteristics, maximum storage capacity, minimum outage hours, annual average planned maintenance hours, forced outage rate, month/day forced output curve predicted output curve (a water-rich year, a water-flat year, a dry year, a daily average output per unit sequence), average output curve (a water-rich year, a water-flat year, a dry year, a daily average output per unit sequence), forced output curve (a water-rich year, a water-flat year, a dry year, a daily average output per unit sequence);
e) energy storage: energy storage type, water pumping/charging efficiency, power generation/discharge efficiency, rated power, annual average planned maintenance hours and forced outage;
f) the requirement of the regional power grid on the power abandonment rate of new energy, other power supply structure data and the like.
2) Load parameter
The maximum load of the power grid, the annual power consumption and the load sequence of the regional power grid of 8760 hours all the year.
3) Electric network structure
The new energy blocked region power grid internal main transmission section limit, the whole grid positive/negative spare capacity level and the whole year 8760 hour connecting line plan sequence between the regional power grid and the external power grid are included.
(2) And substituting the basic parameters of the regional power grid into the production simulation model, and solving by adopting an optimization algorithm to obtain a new energy electricity abandonment curve caused by the blocked section. Taking a certain area of the northwest province of new energy as an example, refer to fig. 5, which is a diagram of new energy due to a blocked cross section.
(3) The new energy power abandoning sequence is counted, and the statistical result is shown in the following table:
TABLE 1 statistical table of the blocked and abandoned electricity situation of a section in a province in northwest (thousands of kilowatts, hundred million kilowatt hours, hours)
Figure DEST_PATH_IMAGE096
(4) The scale of initial configuration of the energy storage capacity can be known from table 1 that the power abandoning rate exceeds 5%, and the energy storage needs to be configured. And (4) analyzing the new energy power abandoning sequence by adopting the method in the step 3. Maximum electric power discard based on electric power discard
Figure 551807DEST_PATH_IMAGE097
Of which the size will beSAnd (5) dividing into 10 gears, and performing fine adjustment when the energy storage power with the electricity abandon rate of 5% is found to be in the middle of the two gears. The energy capacity and the power abandon rate of the additional energy storage required under different gears of the energy storage power are shown in the following table. From the table 2, it can be known that when the initial configuration scale of energy storage is 950MW/12060MWh, the power rejection of the new energy is just 5%, and the requirement of the assessment index is met.
TABLE 2 energy-storage effect (megawatt, megawatt hour, hour) with different capacities on a section in a province in northwest
Figure 720751DEST_PATH_IMAGE098
(5) However, the configured energy storage capacity is large at this time and needs to be further optimized. When the cross section of the local area is configured with 1500 megawatts/4 hours of energy storage, the electricity abandon rate caused by the blocked cross section can also be reduced to 5 percent, and more 11.1 hundred million degrees of electricity is consumed.
TABLE 3 electric energy abandon effect (megawatt hour) when energy is stored in a local area section of province in northwest province with different time length
Figure DEST_PATH_IMAGE099
(6) Based on the above table, the energy storage capacity is further optimized according to the method of steps 3-7 to 3-10, and from the statistical table of the electricity abandoning time of fig. 3,T ref and =4 hours.
TABLE 4 Electricity abandon duration statistics table
Figure 371175DEST_PATH_IMAGE100
(7) And performing capacity optimization configuration on the stored energy, starting from 12060/4=3015MW at the initial value of the stored energy power, gradually reducing the stored energy power, knowing that the power rejection rate meets the requirement of 5% when the Hai-West stored energy configuration result is 1500MW/4 hours, and reducing the stored energy capacity by 50% compared with the energy of the initial configuration.
In order to verify the rationality of the selection of the energy storage duration, when the 5% electricity abandonment constraint is met (the deviation of the allowable energy abandonment rate is ± 0.5 per thousand), the changes of the power and the energy capacity of the configuration required by the energy storage are calculated along with the change of the energy storage duration, and the result is shown in fig. 6. It can be seen from the graph that when the energy storage time exceeds 4 hours, the power of the energy storage configuration is not significantly reduced, but the energy of the configuration required for energy storage is significantly increased; when the energy storage duration is too short, the energy storage capacity is slightly reduced, but the configuration power of the energy storage is obviously increased, which puts higher requirements on the current transformation capability of the energy storage converter.
(8) And (3) substituting the energy storage capacity optimization configuration result (1500 MW/4 hours) into the optimization model in the step (1), wherein the result shows that the new energy power abandonment rate of the local area meets the assessment requirement of 5%.
(9) And determining the energy storage configuration scale for other local areas of the whole network according to the flow.
(10) Referring to fig. 7, a block diagram of a flow of an energy storage capacity optimization configuration is provided.
Therefore, models of different types of hydroelectric generating sets, thermal power generating sets, thermoelectric generating sets, new energy generating sets and the like are considered in the time sequence production simulation optimization scheduling model, and the requirements of model modeling in most provincial regions in China can be met. The objective function of the optimized scheduling model of the time sequence production simulation aims at the best economic benefit and is executed according to the three-fair scheduling as much as possible, so that each type of unit can be scheduled fairly and is connected to the grid for power generation. The energy storage configuration process is simple, and the operability and the guidance are strong, a new energy electricity abandoning curve of a blocked section of a regional power grid is obtained through time sequence simulation, the characteristics of the blocked electricity abandoning curve are analyzed, a probability curve of electricity abandoning duration and the initial configuration scale of energy storage power capacity are obtained, the energy storage configuration process does not depend on an optimization model, an initial value of energy storage power searching is provided, and the solving time is short and the efficiency is high by depending on a statistical analysis method.
Optionally, calculating a new energy power abandon rate caused by section blockage in the local area according to a pre-established production simulation operation model, including: the method comprises the following steps of determining the generating cost of a unit and the cost of calling a demand response load according to the following formula by pre-collected power grid parameters:
Figure 997066DEST_PATH_IMAGE101
（1）
Figure 303414DEST_PATH_IMAGE102
（2）
wherein the content of the first and second substances,F Gthe unit power generation costs, including operating costs, start-up and shut-down costs;F DRthe cost of responding to the load for the invocation of demand;Tthe entire time period for production simulation;N G、N DRthe number of the conventional units and the number of the demand response load devices are respectively;u i,t 、z j,t is a variable of 0 to 1 and respectively representstTime interval unitiStart-stop state and load response devicejThe calling state of (2);P Gi,tandP DRj,trespectively representtThe output of the time interval machine set and the DR equipment,a i 、b i 、c i as a unitiThe power generation cost parameter of (a) is,S i,t 、D i,t to representtIn the first periodiThe start-up and shut-down costs of the unit,
Figure 400683DEST_PATH_IMAGE103
responding to a load for a demandjThe compensation price of (2);
according to the generating cost of the unit and the calling demand response load cost, determining to establish a production simulation operation model taking the year as a time period, taking the minimum system scheduling operation cost as a target, establishing a mixed integer programming model, wherein an objective function is as follows:
Figure 843297DEST_PATH_IMAGE104
（3）；
wherein the content of the first and second substances,
Figure 609DEST_PATH_IMAGE105
is the target value.
Optionally, the production simulation run model constraints include at least one of: the system comprises a power balance constraint, a rotation standby constraint, a thermal power unit output constraint, a unit start-stop constraint, a unit climbing constraint, a thermal power unit security power supply constraint, an electric quantity constraint and an output constraint in an adjustment period (year, week and day) of an inventory type hydroelectric generating set, a radial flow type hydroelectric generating set output constraint, a new energy output constraint, a calling constraint of a required response side load in the system, a charging and discharging power constraint of energy storage equipment, a charging and discharging state constraint of the energy storage equipment, a capacity constraint of the energy storage equipment and an energy balance constraint at the beginning and end of the period;
the power balance constraint is:
Figure 59831DEST_PATH_IMAGE106
（4）
the rotational standby constraints are:
Figure 695212DEST_PATH_IMAGE107
（5）
the output constraint of the thermal power generating unit is as follows:
Figure 22026DEST_PATH_IMAGE108
（6）
the constraint of the start-stop time of the unit is as follows:
Figure 225605DEST_PATH_IMAGE109
（7）
Figure 365600DEST_PATH_IMAGE110
（8）
the unit climbing restraint is as follows:
Figure 804671DEST_PATH_IMAGE111
（9）
the thermal power unit security power supply constraint is as follows:
Figure 221877DEST_PATH_IMAGE112
（10）
the electric quantity constraint in the hydroelectric regulation period is as follows:
Figure 861937DEST_PATH_IMAGE113
、
Figure 489228DEST_PATH_IMAGE114
、
Figure 840312DEST_PATH_IMAGE115
（11）
the output constraint of the radial flow type hydroelectric generating set is as follows:
Figure 767817DEST_PATH_IMAGE116
（12）
the new energy output constraint is as follows:
Figure 578778DEST_PATH_IMAGE117
、
Figure 834310DEST_PATH_IMAGE118
（13）
the calling constraint of the demand response side load in the system is as follows:
Figure 615184DEST_PATH_IMAGE119
（14）
Figure 6983DEST_PATH_IMAGE120
（15）
the charging and discharging power constraint of the energy storage device is as follows:
Figure 847900DEST_PATH_IMAGE121
（16）
Figure 823684DEST_PATH_IMAGE122
（17）
the state constraints of the energy storage device are:
Figure 549194DEST_PATH_IMAGE123
（18）
Figure 185712DEST_PATH_IMAGE124
（19）
Figure 72896DEST_PATH_IMAGE125
（20）
the capacity constraints of the energy storage device are:
Figure 37441DEST_PATH_IMAGE126
（21）
Figure 425697DEST_PATH_IMAGE127
（22）
the energy balance constraint at the beginning and the end of the period is as follows:
Figure 25044DEST_PATH_IMAGE128
（23）
wherein the content of the first and second substances,R d,t、R w,tis composed oft(ii) load reserve for a period of time and wind-powered increased reserve demand;
Figure 207763DEST_PATH_IMAGE129
is as followslThe power transmission capacity of the strip connecting line;
Figure 659604DEST_PATH_IMAGE130
is as followshDesk water powertPower at a time;
Figure 851551DEST_PATH_IMAGE131
、
Figure 806869DEST_PATH_IMAGE132
、
Figure 567015DEST_PATH_IMAGE133
is as followshGenerating capacity of the platform water in an adjusting period, wherein the adjusting period corresponds to year, week and day respectively;
Figure 630786DEST_PATH_IMAGE134
is as followshRated maximum power of the station water;
Figure 469166DEST_PATH_IMAGE135
、
Figure 669203DEST_PATH_IMAGE136
respectively the minimum start-up and shut-down time of the unit,
Figure 69092DEST_PATH_IMAGE137
、
Figure 89001DEST_PATH_IMAGE138
is composed oftContinuous run and down time before time;
Figure 763695DEST_PATH_IMAGE139
and
Figure 818239DEST_PATH_IMAGE140
the up-down climbing speeds of the unit are respectively set;E(t) For storing energy during time periodstThe energy storage capacity of (a);E(0) for storing capacity at time 0
Figure 389029DEST_PATH_IMAGE141
，
Figure 161813DEST_PATH_IMAGE142
Respectively an upper limit and a lower limit of the energy storage capacity;
Figure 607575DEST_PATH_IMAGE143
and
Figure 516626DEST_PATH_IMAGE144
the maximum values of the discharge and charge powers respectively,t=0 andt=T endrespectively representing the scheduling cycle start and end periods,
Figure 523896DEST_PATH_IMAGE145
and
Figure 518397DEST_PATH_IMAGE146
respectively for storing energy during time periodstInternal charging and dischargingAnd in the discharging state, the two variables are both in a Boolean type, and the physical meaning of energy balance constraint at the beginning and the end of the period is that after one scheduling period is finished, the stored energy returns to the initial state to prepare for the charging and discharging operation of the next period.
Optionally, calculating a new energy power abandonment rate caused by section blockage in a local area according to the production simulation operation model, including:
after the unit starting output is determined, solving the network power flow by using a direct current power flow method to obtain the voltage phase angles of all nodes, and solving the transmission power of a section connecting line:
Figure 269315DEST_PATH_IMAGE147
（24）
wherein the content of the first and second substances,
Figure 298451DEST_PATH_IMAGE148
is a local regioniDelivery cross sectionj-kIn the tie linetThe power to be transmitted at the moment of time,
Figure 476622DEST_PATH_IMAGE149
、
Figure 863479DEST_PATH_IMAGE150
is a nodejAndkin thattThe voltage phase angle at a moment in time,X tie-line,j,k which is the direct current resistance of the line,B tie-line,j,k is the susceptance of the line;
superposing the transmission power of the cross section connecting line to determine a local areaiDelivery cross-section power delivery
Figure 11564DEST_PATH_IMAGE151
；
Calculating a new energy power abandon curve caused by section blockage in a local area according to the following formula:
Figure 770572DEST_PATH_IMAGE152
（25）
wherein the content of the first and second substances,
Figure 978700DEST_PATH_IMAGE153
is composed oftTime of dayiThe new energy in the local area is not limited by peak regulation due to the electricity abandoning curve of the section blockage;
Figure 823159DEST_PATH_IMAGE154
is a local regioniElectric power abandon caused by insufficient peak regulation;
Figure 40514DEST_PATH_IMAGE155
is a local regioniThe delivery cross section transmits the power,
Figure 919608DEST_PATH_IMAGE156
an upper limit of the delivered power for the section;
and calculating the power abandoning rate of the new energy caused by section blockage in a local area according to the power abandoning curve of the new energy:
Figure 564216DEST_PATH_IMAGE157
（26）
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE158
is a local regioniBecause of the power abandonment rate of the new energy with blocked cross section,
Figure 332190DEST_PATH_IMAGE159
is a regioniAnd the internal new energy can be used for generating power of grid connection.
Figure 87656DEST_PATH_IMAGE160
The minimum time interval is 1h interval throughout the text.
Optionally, when the new energy power abandonment rate is greater than the power abandonment rate assessment index, adding energy storage to determine new energy electric quantity which can be newly increased and decreased and the corrected new energy power abandonment rate, and obtaining the initial energy storage capacity meeting the power abandonment rate assessment index by using a constant power method according to the corrected new energy power abandonment rate comprises:
when the new energy power abandon rate is larger than the power abandon rate assessment index, dividing the maximum electric power abandon rate in the new energy power abandon curve intoSGear position, whensWhen =1, the energy storage power capacity is determined according to the following formula:
Figure 821257DEST_PATH_IMAGE161
（27）；
wherein, the energy storage power capacity is;
calculating new-energy electric quantity capable of being increased and decreased according to the energy storage power capacity, wherein the new-energy electric quantity capable of being increased and decreased represents the electric quantity which can be charged into the energy storage by the intersection of the energy storage and the original new-energy electricity abandoning curve during the rated constant power charging process when the constraint of the energy storage capacity is not considered temporarily, and the new-energy electric quantity capable of being increased and decreased can be obtained all year round
Figure 777712DEST_PATH_IMAGE162
The second power-off event is the local areaiFirst, thenA secondary power-off event at thesThe electric quantity meter which can be consumed under the gear energy storage power is
Figure 190238DEST_PATH_IMAGE163
；
And correcting the new energy power abandon rate according to the new energy electric quantity which can be newly increased and consumed:
Figure 749396DEST_PATH_IMAGE164
（28）
wherein the content of the first and second substances,
Figure 859476DEST_PATH_IMAGE165
is a local regioniAdding intosThe power abandoning rate of the new energy after the gear energy storage power is corrected;
when the modified local areaiWhen the power abandonment rate of the new energy is less than or equal to the power abandonment rate assessment index for the first time, determining the initial energy storage capacity, wherein the initial energy storage capacity comprises an initial power capacity and an initial energy capacity, and the initial power capacity is
Figure DEST_PATH_IMAGE166
Said initial energy capacity being = max
Figure 252411DEST_PATH_IMAGE167
,n∈
Figure 683392DEST_PATH_IMAGE168
}; when the modified local areaiRate of electricity abandonment of new energy
Figure 656027DEST_PATH_IMAGE169
When the power abandonment rate is greater than the power abandonment rate assessment index, the initial power of the stored energy is used
Figure 364220DEST_PATH_IMAGE170
Raise and update gearss=s+1, re-determining the new energy electric quantity capable of being newly increased and consumed and the corrected new energy power abandon rate until the corrected local areaiRate of electricity abandonment of new energy
Figure 521532DEST_PATH_IMAGE171
And when the first time is less than or equal to the power abandonment rate assessment index, determining the initial configuration capacity of the stored energy.
Optionally, obtaining an optimal configuration time length of the stored energy based on an accumulated probability of the new energy power abandoning time length, performing optimal configuration on the initial stored energy capacity through optimization search according to the optimal configuration time length, and determining the energy storage capacity required to be configured when the new energy power abandoning rate assessment index is met, where the method includes:
selecting local area according to electricity abandoning curve characteristicsiThe duration when the accumulated probability of the new energy power-off duration accounts for 50% is used as the energy storage configuration duration and is recorded asT ref,i ；
Calculating an optimized initial value of the energy storage power according to the initial capacity of the energy storage:
Figure 548132DEST_PATH_IMAGE172
（29）
wherein, the initial energy capacity is the initial energy capacity in the initial energy storage capacity;
gradually regulating down the energy storage power, setting the gear to be regulated down every timexAnd secondly, determining the energy storage power as follows:
wherein the content of the first and second substances,
Figure 449092DEST_PATH_IMAGE173
the energy capacity is the energy capacity in the initial capacity of the stored energy;
gradually regulating down the energy storage power, setting the gear to be regulated down every timexAnd secondly, determining the energy storage power as follows:
Figure 11791DEST_PATH_IMAGE174
（30）
calculating the energy storage power/duration combination (
Figure 605584DEST_PATH_IMAGE175
，
Figure 886523DEST_PATH_IMAGE176
) New energy electric quantity capable of being consumed more in each electricity abandoning event
Figure 200961DEST_PATH_IMAGE177
Comprises the following steps:
Figure 742801DEST_PATH_IMAGE178
（31）
and correcting the power abandonment rate of the new energy in the optimal configuration stage as follows:
Figure 881396DEST_PATH_IMAGE179
（32）
if it is
Figure 243107DEST_PATH_IMAGE180
<When the power abandonment rate is evaluated, the rated power of the stored energy is continuously reduced, the iteration times are increased,x=x+1, continue to downshiftIs arranged as
Figure 361236DEST_PATH_IMAGE181
；
If it is
Figure DEST_PATH_IMAGE182
And when the power abandonment rate assessment index is met, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 695265DEST_PATH_IMAGE183
Optimizing duration
Figure 365281DEST_PATH_IMAGE184
Optimizing the energy capacity to
Figure 89655DEST_PATH_IMAGE185
；
If it is
Figure 136108DEST_PATH_IMAGE186
When the power abandonment rate assessment index is greater than the power abandonment rate assessment index, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 292020DEST_PATH_IMAGE187
Optimizing duration
Figure 8304DEST_PATH_IMAGE188
Optimizing the energy capacity to
Figure 344607DEST_PATH_IMAGE189
。
Optionally, the method further comprises: according to local areaiEnergy storage optimization capacity configured by new energy power abandonment caused by section obstruction, and determination of whole networkIAnd the local areas are subjected to energy storage optimization capacity configured by abandoning electricity of new energy due to the fact that the section is blocked.
Therefore, models of different types of hydroelectric generating sets, thermal power generating sets, thermoelectric generating sets, new energy generating sets and the like are considered in the time sequence production simulation optimization scheduling model, and the requirements of model modeling in most provincial regions in China can be met. The objective function of the optimized scheduling model of the time sequence production simulation aims at the best economic benefit and is executed according to the three-fair scheduling as much as possible, so that each type of unit can be scheduled fairly and is connected to the grid for power generation. The energy storage configuration process is simple, and the operability and the guidance are strong, a new energy electricity abandoning curve of a blocked section of a regional power grid is obtained through time sequence simulation, the characteristics of the blocked electricity abandoning curve are analyzed, a probability curve of electricity abandoning duration and the initial configuration scale of energy storage power capacity are obtained, the energy storage configuration process does not depend on an optimization model, an initial value of energy storage power searching is provided, and the solving time is short and the efficiency is high by depending on a statistical analysis method.
According to another aspect of the present application, there is also provided a system 800 for energy storage capacity optimization configuration. Referring to fig. 8, the system 800 includes:
the power abandonment rate calculating module 810 is used for calculating the power abandonment rate of new energy resources caused by section blockage in a local area according to a pre-established production simulation operation model;
an energy storage initial capacity determining module 820, configured to, when the new energy abandon rate is greater than the abandon rate assessment index, add energy storage to determine new energy electric quantity that can be newly added and dissipated and a corrected new energy abandon rate, and obtain an energy storage initial capacity meeting the abandon rate assessment index by using a constant power method according to the corrected new energy abandon rate;
and the energy storage optimization capacity determining module 830 is configured to obtain an optimal configuration time for energy storage based on an accumulated probability of the new energy power abandoning time, perform optimal configuration on the initial energy storage capacity through optimization search according to the optimal configuration time, and determine an energy storage optimization capacity required to be configured when the new energy power abandoning rate assessment index is met, where the energy storage optimization capacity includes an optimized power capacity and an optimized energy capacity.
Optionally, a calculate power curtailment module 810, comprising: the cost determining submodule is used for determining the generating cost of the unit and the cost of calling the demand response load according to the following formula through the pre-collected power grid parameters:
Figure 70118DEST_PATH_IMAGE190
（1）
Figure 441056DEST_PATH_IMAGE191
（2）
wherein the content of the first and second substances,F Gthe unit power generation costs, including operating costs, start-up and shut-down costs;F DRthe cost of responding to the load for the invocation of demand;Tthe entire time period for production simulation;N G、N DRthe number of the conventional units and the number of the demand response load devices are respectively;u i,t 、z j,t is a variable of 0 to 1 and respectively representstTime interval unitiStart-stop state and load response devicejThe calling state of (2);P Gi,tandP DRj,trespectively representtThe output of the time interval machine set and the DR equipment,a i 、b i 、c i as a unitiThe power generation cost parameter of (a) is,S i,t 、D i,t to representtIn the first periodiThe start-up and shut-down costs of the unit,
Figure 593820DEST_PATH_IMAGE192
responding to a load for a demandjThe compensation price of (2);
and the objective function determining submodule is used for determining and establishing a production simulation operation model taking the year as a time period according to the generating cost of the unit and the calling demand response load cost, establishing a mixed integer programming model by taking the minimum system scheduling operation cost as a target, and establishing a target function as follows:
Figure 588059DEST_PATH_IMAGE193
（3）；
wherein the content of the first and second substances,
Figure 586102DEST_PATH_IMAGE194
is the target value.
Optionally, the production simulation run model constraints include at least one of: the system comprises a power balance constraint, a rotation standby constraint, a thermal power unit output constraint, a unit start-stop constraint, a unit climbing constraint, a thermal power unit security power supply constraint, an electric quantity constraint and an output constraint in an adjustment period (year, week and day) of an inventory type hydroelectric generating set, a radial flow type hydroelectric generating set output constraint, a new energy output constraint, a calling constraint of a required response side load in the system, a charging and discharging power constraint of energy storage equipment, a charging and discharging state constraint of the energy storage equipment, a capacity constraint of the energy storage equipment and an energy balance constraint at the beginning and end of the period;
the power balance constraint is:
Figure 77126DEST_PATH_IMAGE195
（4）
the rotational standby constraints are:
Figure 400791DEST_PATH_IMAGE196
（5）
the output constraint of the thermal power generating unit is as follows:
Figure 711686DEST_PATH_IMAGE197
（6）
the constraint of the start-stop time of the unit is as follows:
Figure 513420DEST_PATH_IMAGE198
（7）
Figure 858951DEST_PATH_IMAGE199
（8）
the unit climbing restraint is as follows:
Figure 320894DEST_PATH_IMAGE200
（9）
the thermal power unit security power supply constraint is as follows:
Figure 119086DEST_PATH_IMAGE201
（10）
the electric quantity constraint in the hydroelectric regulation period is as follows:
Figure 724511DEST_PATH_IMAGE202
、
Figure 924548DEST_PATH_IMAGE203
、
Figure 590016DEST_PATH_IMAGE204
（11）
the output constraint of the radial flow type hydroelectric generating set is as follows:
Figure 875503DEST_PATH_IMAGE205
（12）
the new energy output constraint is as follows:
Figure 284619DEST_PATH_IMAGE206
、
Figure 339163DEST_PATH_IMAGE207
（13）
the calling constraint of the demand response side load in the system is as follows:
Figure 674067DEST_PATH_IMAGE208
（14）
Figure 587796DEST_PATH_IMAGE209
（15）
the charging and discharging power constraint of the energy storage device is as follows:
Figure 659657DEST_PATH_IMAGE210
（16）
Figure 444074DEST_PATH_IMAGE211
（17）
the state constraints of the energy storage device are:
Figure 575978DEST_PATH_IMAGE212
（18）
Figure 445845DEST_PATH_IMAGE213
（19）
Figure 960878DEST_PATH_IMAGE214
（20）
the capacity constraints of the energy storage device are:
Figure 990014DEST_PATH_IMAGE215
（21）
Figure 433764DEST_PATH_IMAGE216
（22）
the energy balance constraint at the beginning and the end of the period is as follows:
Figure 649982DEST_PATH_IMAGE217
（23）
wherein the content of the first and second substances,R d,t、R w,tis composed oft(ii) load reserve for a period of time and wind-powered increased reserve demand;
Figure 204591DEST_PATH_IMAGE218
is as followslThe power transmission capacity of the strip connecting line;
Figure 822654DEST_PATH_IMAGE219
is as followshDesk water powertPower at a time;
Figure 171727DEST_PATH_IMAGE220
、
Figure 140820DEST_PATH_IMAGE221
、
Figure 732076DEST_PATH_IMAGE222
is as followshGenerating capacity of the platform water in an adjusting period, wherein the adjusting period corresponds to year, week and day respectively;
Figure 470225DEST_PATH_IMAGE223
is as followshRated maximum power of the station water;
Figure 990199DEST_PATH_IMAGE224
、
Figure 587534DEST_PATH_IMAGE225
respectively the minimum start-up and shut-down time of the unit,
Figure 343000DEST_PATH_IMAGE226
、
Figure 76601DEST_PATH_IMAGE227
is composed oftContinuous run and down time before the time of day,
Figure 892110DEST_PATH_IMAGE228
and
Figure 475276DEST_PATH_IMAGE229
the up-down climbing speeds of the unit are respectively set;E(t) For storing energy during time periodstThe energy storage capacity of (a); e (0) is the capacity at the moment of storing energy 0,
Figure 909800DEST_PATH_IMAGE230
，
Figure 622541DEST_PATH_IMAGE231
respectively an upper limit and a lower limit of the energy storage capacity;
Figure 749897DEST_PATH_IMAGE232
and
Figure 915299DEST_PATH_IMAGE233
the maximum values of the discharge and charge powers respectively,t=0 andt=T endrespectively representing the scheduling cycle start and end periods,
Figure 887934DEST_PATH_IMAGE234
and
Figure 455182DEST_PATH_IMAGE235
the energy storage is in charging and discharging states in a time period t respectively, the two variables are both in a Boolean type, and the physical meaning of energy balance constraint at the beginning and the end of the cycle is that after a scheduling cycle is completed, the energy storage returns to the initial state to prepare for the charging and discharging operation of the next cycle.
Optionally, a calculate power curtailment module 810, comprising:
and the solution connecting line transmission power submodule is used for determining the starting output of the unit, then solving the network power flow by using a direct current power flow method to obtain the voltage phase angles of all nodes, and solving the transmission power of the section connecting line:
Figure 517553DEST_PATH_IMAGE236
（24）
wherein the content of the first and second substances,
Figure 904672DEST_PATH_IMAGE237
is a local regioniDelivery cross sectionj-kIn the tie linetThe power to be transmitted at the moment of time,
Figure 680999DEST_PATH_IMAGE238
、
Figure 509277DEST_PATH_IMAGE239
is a nodejAndkin thattThe voltage phase angle at a moment in time,X tie-line,j,k which is the direct current resistance of the line,B tie-line,j,k is the susceptance of the line;
a sub-module for determining local transmission power, which is used for superposing the transmission power of the cross-section connecting line to determine a local areaiDelivery cross-section power delivery
Figure 103070DEST_PATH_IMAGE240
；
And the electricity abandoning curve determining submodule is used for calculating a new energy electricity abandoning curve caused by section blockage in a local area according to the following formula:
Figure 384009DEST_PATH_IMAGE241
（25）
wherein the content of the first and second substances,
Figure 196982DEST_PATH_IMAGE242
is composed oftTime of dayiThe new energy in the local area is not limited by peak regulation due to the electricity abandoning curve of the section blockage;
Figure 4401DEST_PATH_IMAGE243
is a local regioniElectric power abandon caused by insufficient peak regulation;
Figure 113303DEST_PATH_IMAGE244
is a local regioniThe delivery cross section transmits the power,
Figure 6172DEST_PATH_IMAGE245
an upper limit of the delivered power for the section;
and the power abandonment rate calculating submodule is used for calculating the power abandonment rate of the new energy caused by section blockage in a local area according to the new energy power abandonment curve:
Figure 858722DEST_PATH_IMAGE246
（26）
wherein the content of the first and second substances,
Figure 255068DEST_PATH_IMAGE247
is a local regioniBecause of the power abandonment rate of the new energy with blocked cross section,
Figure 800450DEST_PATH_IMAGE248
is a regioniThe internal new energy can be the generated power of grid connection,
Figure 915037DEST_PATH_IMAGE249
the minimum time interval is 1 h.
Optionally, the determine initial energy storage capacity module 820 includes: the energy storage power capacity determining submodule is used for dividing the maximum power of the new energy power abandon rate into two parts when the new energy power abandon rate is larger than the power abandon rate assessment indexSGear position, whensWhen =1, the energy storage power capacity is determined according to the following formula:
Figure 866550DEST_PATH_IMAGE250
（27）；
wherein the content of the first and second substances,
Figure 258348DEST_PATH_IMAGE251
is the energy storage power capacity;
and the submodule for calculating the newly added and consumed new energy electric quantity is used for calculating the newly added and consumed new energy electric quantity according to the energy storage power capacity, the newly added and consumed new energy electric quantity represents the electric quantity which can be charged by intersecting the original new energy electricity abandoning curve when the energy storage is charged at rated constant power without considering the constraint of the energy storage energy capacity temporarily, and the new energy electric quantity can be charged all year round
Figure 99265DEST_PATH_IMAGE252
The second power-off event is the local areaiFirst, thenA secondary power-off event at thesThe electric quantity meter which can be consumed under the gear energy storage power is
Figure 576514DEST_PATH_IMAGE253
；
And the electricity abandonment rate correction submodule is used for correcting the electricity abandonment rate of the new energy according to the newly-increased and consumed electric quantity of the new energy:
Figure 302025DEST_PATH_IMAGE254
（28）
wherein the content of the first and second substances,
Figure 672963DEST_PATH_IMAGE255
for the modified local areaiThe power rate of the new energy is abandoned;
determining an initial capacity of stored energy submodule for the local region after said modificationiRate of electricity abandonment of new energy
Figure 58683DEST_PATH_IMAGE256
When the power abandonment rate is not more than the power abandonment rate assessment index for the first time, determining initial energy storage capacity, wherein the initial energy storage capacity comprises initial power capacity and initial energy capacity, and the initial power capacity is
Figure 147862DEST_PATH_IMAGE257
The initial energy capacity is
Figure 145905DEST_PATH_IMAGE258
=max{
Figure 371350DEST_PATH_IMAGE259
，n∈
Figure 695015DEST_PATH_IMAGE260
}；
An iterative operation energy storage initial capacity submodule used for the corrected local areaiRate of electricity abandonment of new energy
Figure 271489DEST_PATH_IMAGE261
When the power abandonment rate is greater than the power abandonment rate assessment index, the initial power of the stored energy is used
Figure 338803DEST_PATH_IMAGE262
Is raised, furthermoreNew gears=s+1, re-determining the new energy electric quantity capable of being newly increased and consumed and the corrected new energy power abandon rate until the corrected local areaiRate of electricity abandonment of new energy
Figure 58235DEST_PATH_IMAGE263
And when the first time is less than or equal to the power abandonment rate assessment index, determining the initial configuration capacity of the stored energy.
Optionally, the determining energy storage optimized capacity module 830 includes:
a sub-module for determining the energy storage configuration time length according to the local areaiSelecting the time length when the accumulative probability of the new energy power abandoning time length accounts for 50 percent as the energy storage configuration time length and recording the time length as the energy storage configuration time lengthT ref,i ；
Calculating an optimized initial value of the calculated energy storage power according to the initial energy storage capacity:
Figure 411856DEST_PATH_IMAGE172
（29）
wherein the content of the first and second substances,
Figure 350993DEST_PATH_IMAGE173
the initial energy capacity is the initial energy capacity in the initial energy storage capacity;
determining an energy storage power submodule for gradually reducing the energy storage power, wherein each time the gear is reduced, the gear is reduced to the second gearxAnd secondly, determining the energy storage power as follows:
Figure 815472DEST_PATH_IMAGE174
（30）
a submodule for calculating the electric quantity of the newly added new energy consumption for calculating the energy storage power/time length combination (
Figure 890876DEST_PATH_IMAGE175
，
Figure 415398DEST_PATH_IMAGE264
) More power-off events can be consumedThe new energy electric quantity is
Figure 576252DEST_PATH_IMAGE177
：
Figure 844422DEST_PATH_IMAGE265
（31）
And the power abandonment rate correction submodule is used for correcting the power abandonment rate of the new energy in the optimal configuration stage into:
Figure 272867DEST_PATH_IMAGE266
（32）
down shift sub-module for if
Figure 968291DEST_PATH_IMAGE180
<When the power abandonment rate is evaluated, the rated power of the stored energy is continuously reduced, the iteration times are increased,x=x+1, continue downshifting to
Figure 741075DEST_PATH_IMAGE181
；
Determining a first energy storage optimized capacity submodule for if
Figure 157144DEST_PATH_IMAGE182
And when the power abandonment rate assessment index is met, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 331773DEST_PATH_IMAGE183
Optimizing duration
Figure 73464DEST_PATH_IMAGE184
Optimizing the energy capacity to
Figure 333544DEST_PATH_IMAGE185
；
Determining a second energy storage optimized capacity sub-module for if
Figure 818883DEST_PATH_IMAGE186
When the power abandonment rate assessment index is greater than the power abandonment rate assessment index, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 848019DEST_PATH_IMAGE267
Optimizing duration
Figure 548163DEST_PATH_IMAGE268
Optimizing the energy capacity to
Figure 295539DEST_PATH_IMAGE269
。
Optionally, the system 800 further comprises: determining a whole-network energy storage optimization capacity module for local area basisiDetermining the energy storage optimization capacity of the whole network by the step of configuring the energy storage optimization capacity by the new energy power abandoning caused by the blocked sectionIAnd the local areas are subjected to energy storage optimization capacity configured by abandoning electricity of new energy due to the fact that the section is blocked.
The system 800 for energy storage capacity optimization according to an embodiment of the present invention corresponds to the method 100 for energy storage capacity optimization according to another embodiment of the present invention, and is not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (14)

1. A method for energy storage capacity optimal configuration, comprising:
calculating the power abandon rate of new energy caused by section blockage in a local area according to a pre-established production simulation operation model;
when the new energy power abandon rate is larger than the power abandon rate assessment index, adding energy storage to determine the new energy electric quantity which can be newly increased and decreased and the corrected new energy power abandon rate, and obtaining the initial energy storage capacity meeting the power abandon rate assessment index by using a constant power method according to the corrected new energy power abandon rate;
the method comprises the steps of obtaining the optimal configuration time of energy storage based on the cumulative probability of the new energy power abandon time, carrying out optimal configuration on the initial energy storage capacity through optimal search according to the optimal configuration time, and determining the optimal energy storage capacity required to be configured when the new energy power abandon rate assessment index is met, wherein the optimal energy storage capacity comprises the optimal power capacity and the optimal energy capacity.
2. The method of claim 1, wherein calculating the new energy power rejection rate caused by the blocking of the fracture surface in the local area according to a pre-established production simulation operation model comprises:
the method comprises the following steps of determining the generating cost of a unit and the cost of calling a demand response load according to the following formula by pre-collected power grid parameters:
Figure 576582DEST_PATH_IMAGE001
（1）
Figure 83787DEST_PATH_IMAGE002
（2）
wherein the content of the first and second substances,F Gthe unit power generation costs, including operating costs, start-up and shut-down costs;F DRthe cost of responding to the load for the invocation of demand;Tfor production simulation of allA time period;N G、N DRthe number of the conventional units and the number of the demand response load devices are respectively;u i,t 、z j,t is a variable of 0 to 1 and respectively representstTime interval unitiStart-stop state and load response devicejThe calling state of (2);P Gi,tandP DRj,trespectively representtThe output of the time interval machine set and the DR equipment,a i 、b i 、c i as a unitiThe power generation cost parameter of (a) is,S i,t 、D i,t to representtIn the first periodiThe start-up and shut-down costs of the unit,
Figure 562173DEST_PATH_IMAGE003
responding to a load for a demandjThe compensation price of (2);
according to the generating cost of the unit and the calling demand response load cost, determining to establish a production simulation operation model taking the year as a time period, taking the minimum system scheduling operation cost as a target, establishing a mixed integer programming model, wherein an objective function is as follows:
Figure 471223DEST_PATH_IMAGE004
（3）；
wherein the content of the first and second substances,
Figure 806389DEST_PATH_IMAGE005
is the target value.
3. The method of claim 2,
the production simulation run model constraints include at least one of: the system comprises a power balance constraint, a rotation standby constraint, a thermal power unit output constraint, a unit start-stop constraint, a unit climbing constraint, a thermal power unit security power supply constraint, an electric quantity constraint and an output constraint in an adjustment period of an inventory type hydroelectric generating set, a radial flow type hydroelectric generating set output constraint, a new energy output constraint, a calling constraint of a required response side load in the system, a charging and discharging power constraint of energy storage equipment, a charging and discharging state constraint of the energy storage equipment, a capacity constraint of the energy storage equipment and a cycle start and end energy balance constraint;
the power balance constraint is:
Figure 987841DEST_PATH_IMAGE006
（4）
the rotational standby constraints are:
Figure 332235DEST_PATH_IMAGE007
（5）
the output constraint of the thermal power generating unit is as follows:
Figure 830212DEST_PATH_IMAGE008
（6）
the constraint of the start-stop time of the unit is as follows:
Figure 805121DEST_PATH_IMAGE009
（7）
Figure 21339DEST_PATH_IMAGE010
（8）
the unit climbing restraint is as follows:
Figure 107107DEST_PATH_IMAGE011
（9）
the thermal power unit security power supply constraint is as follows:
Figure 459591DEST_PATH_IMAGE012
（10）
the electric quantity constraint in the hydroelectric regulation period is as follows:
Figure 667718DEST_PATH_IMAGE013
、
Figure 308915DEST_PATH_IMAGE014
、
Figure 729532DEST_PATH_IMAGE015
（11）
the output constraint of the radial flow type hydroelectric generating set is as follows:
Figure 467681DEST_PATH_IMAGE016
（12）
the new energy output constraint is as follows:
Figure 33660DEST_PATH_IMAGE017
、
Figure 958891DEST_PATH_IMAGE018
（13）
the calling constraint of the demand response side load in the system is as follows:
Figure 448778DEST_PATH_IMAGE019
（14）
Figure 713537DEST_PATH_IMAGE020
（15）
the charging and discharging power constraint of the energy storage device is as follows:
Figure 263467DEST_PATH_IMAGE021
（16）
Figure 675994DEST_PATH_IMAGE022
（17）
the state constraints of the energy storage device are:
Figure 907255DEST_PATH_IMAGE023
（18）
Figure 354417DEST_PATH_IMAGE024
（19）
Figure 544090DEST_PATH_IMAGE025
（20）
the capacity constraints of the energy storage device are:
Figure 647175DEST_PATH_IMAGE026
（21）
Figure 478865DEST_PATH_IMAGE027
（22）
the energy balance constraint at the beginning and the end of the period is as follows:
Figure 780533DEST_PATH_IMAGE028
（23）
wherein the content of the first and second substances,R d,t、R w,tis composed oft(ii) load reserve for a period of time and wind-powered increased reserve demand;
Figure 593638DEST_PATH_IMAGE029
is as followslThe power transmission capacity of the strip connecting line;
Figure 246336DEST_PATH_IMAGE030
is as followshDesk water powertPower at a time;
Figure 819400DEST_PATH_IMAGE031
、
Figure 709995DEST_PATH_IMAGE032
、
Figure 772629DEST_PATH_IMAGE033
is as followshGenerating capacity of the platform water in an adjusting period, wherein the adjusting period corresponds to year, week and day respectively;
Figure 584727DEST_PATH_IMAGE034
is as followshRated maximum power of the station water;
Figure 758220DEST_PATH_IMAGE035
、
Figure 34480DEST_PATH_IMAGE036
respectively the minimum start-up and shut-down time of the unit,
Figure 205699DEST_PATH_IMAGE037
、
Figure 567410DEST_PATH_IMAGE038
is composed oftContinuous run and down time before time;
Figure DEST_PATH_IMAGE039
and
Figure 731544DEST_PATH_IMAGE040
the up-down climbing speeds of the unit are respectively set;E(t) For storing energy during time periodstThe energy storage capacity of (a);E(0) for storing capacity at time 0
Figure DEST_PATH_IMAGE041
，
Figure 862311DEST_PATH_IMAGE042
Respectively an upper limit and a lower limit of the energy storage capacity;
Figure 204430DEST_PATH_IMAGE043
and
Figure 53438DEST_PATH_IMAGE044
the maximum values of the discharge and charge powers respectively,t=0 andt=T endrespectively representing the scheduling cycle start and end periods,
Figure 506416DEST_PATH_IMAGE045
and
Figure 491689DEST_PATH_IMAGE046
respectively for storing energy during time periodstThe energy balance constraint method comprises the following steps of internal charging and discharging states, wherein both variables are Boolean-type, and the physical meaning of energy balance constraint at the beginning and the end of a period is that after a scheduling period is completed, energy is stored and returns to the initial state to prepare for the next period of charging and discharging operation.
4. The method of claim 1, wherein calculating the new energy power rejection rate due to the blocking of the fracture surface in the local area according to the production simulation operation model comprises:
after the unit starting output is determined, solving the network power flow by using a direct current power flow method to obtain the voltage phase angles of all nodes, and solving the transmission power of a section connecting line:
Figure 67027DEST_PATH_IMAGE047
（24）
wherein the content of the first and second substances,
Figure 341014DEST_PATH_IMAGE048
is a local regioniDelivery cross sectionj-kOf tie linesIn thattThe power to be transmitted at the moment of time,
Figure 394420DEST_PATH_IMAGE049
、
Figure 499780DEST_PATH_IMAGE050
is a nodejAndkin thattThe voltage phase angle at a moment in time,X tie-line,j,k which is the direct current resistance of the line,B tie-line,j,k is the susceptance of the line;
superposing the transmission power of the cross section connecting line to determine a local areaiDelivery cross-section power delivery
Figure 432969DEST_PATH_IMAGE051
；
Calculating a new energy power abandon curve caused by section blockage in a local area according to the following formula:
Figure 725411DEST_PATH_IMAGE052
（25）
wherein the content of the first and second substances,
Figure 848087DEST_PATH_IMAGE053
is composed oftTime of dayiThe new energy in the local area is not limited by peak regulation due to the electricity abandoning curve of the section blockage;
Figure 745636DEST_PATH_IMAGE054
is a local regioniElectric power abandon caused by insufficient peak regulation;
Figure 397197DEST_PATH_IMAGE055
is a local regioniThe delivery cross section transmits the power,
Figure 708093DEST_PATH_IMAGE056
an upper limit of the delivered power for the section;
and calculating the power abandoning rate of the new energy caused by section blockage in a local area according to the power abandoning curve of the new energy:
Figure 306565DEST_PATH_IMAGE057
（26）
wherein the content of the first and second substances,
Figure 855358DEST_PATH_IMAGE058
is a local regioniBecause of the power abandonment rate of the new energy with blocked cross section,
Figure 208979DEST_PATH_IMAGE059
is a regioniThe internal new energy can be the generated power of grid connection,
Figure 679274DEST_PATH_IMAGE060
the minimum time interval is 1 h.
5. The method of claim 1, wherein when the new energy power curtailment rate is greater than a power curtailment rate assessment index, adding stored energy to determine the new energy electric quantity which can be newly increased and decreased and a corrected new energy power curtailment rate, and obtaining the initial capacity of the stored energy which meets the power curtailment rate assessment index by using a constant power method according to the corrected new energy power curtailment rate comprises:
when the new energy power abandon rate is larger than the power abandon rate assessment index, dividing the maximum electric power abandon rate in the new energy power abandon curve intoSGear position, whensWhen =1, the energy storage power capacity is determined according to the following formula:
Figure 143754DEST_PATH_IMAGE061
（27）；
wherein the content of the first and second substances,
Figure 547053DEST_PATH_IMAGE062
is the energy storage power capacity;
calculating new energy electric quantity which can be newly increased and consumed according to the energy storage power capacity, wherein the new energy electric quantity which can be newly increased and consumed represents the electric quantity which can be charged into the energy storage when the energy storage is intersected with the original new energy electricity abandoning curve during rated constant power charging when the constraint of the energy storage capacity is not considered temporarily, and the new energy electric quantity can be charged all year round
Figure 258526DEST_PATH_IMAGE063
The second power-off event is the local areaiFirst, thenA secondary power-off event at thesThe electric quantity meter which can be consumed under the gear energy storage power is
Figure 278435DEST_PATH_IMAGE064
；
And correcting the new energy power abandon rate according to the new energy electric quantity which can be newly increased and consumed:
Figure 15446DEST_PATH_IMAGE065
（28）
wherein the content of the first and second substances,
Figure 742094DEST_PATH_IMAGE066
for the modified local areaiThe power rate of the new energy is abandoned;
when the modified local areaiRate of electricity abandonment of new energy
Figure 437518DEST_PATH_IMAGE067
When the first time is less than or equal to the power abandonment rate assessment index, determining initial energy storage capacity, wherein the initial energy storage capacity comprises initial power capacity and initial energy capacity, and the initial power capacity is
Figure 413564DEST_PATH_IMAGE068
The initial energy capacity is
Figure 157529DEST_PATH_IMAGE069
=max{
Figure 66579DEST_PATH_IMAGE070
,n∈
Figure 605008DEST_PATH_IMAGE071
}；
When the modified local areaiRate of electricity abandonment of new energy
Figure 333929DEST_PATH_IMAGE072
When the power abandonment rate is greater than the power abandonment rate assessment index, the initial power of the stored energy is used
Figure 678323DEST_PATH_IMAGE073
Raise and update gearss=s+1, re-determining the new energy electric quantity capable of being newly increased and consumed and the corrected new energy power abandon rate until the corrected local areaiRate of electricity abandonment of new energy
Figure 628830DEST_PATH_IMAGE074
And when the first time is less than or equal to the power abandonment rate assessment index, determining the initial configuration capacity of the stored energy.
6. The method according to claim 5, wherein the step of obtaining the optimal configuration time of the stored energy based on the cumulative probability of the new energy power abandon time, and the step of determining the energy storage capacity required to be configured when meeting the new energy power abandon rate assessment index by optimally configuring the initial energy storage capacity through optimization search according to the optimal configuration time comprises the following steps:
according to local areaiSelecting the time length when the accumulative probability of the new energy power abandoning time length accounts for 50 percent as the energy storage configuration time length and recording the time length as the energy storage configuration time lengthT ref,i ；
Calculating an optimized initial value of the energy storage power according to the initial capacity of the energy storage:
Figure 134898DEST_PATH_IMAGE075
（29）
wherein the content of the first and second substances,
Figure 616695DEST_PATH_IMAGE076
the energy capacity is the energy capacity in the initial capacity of the stored energy;
gradually regulating down the energy storage power, setting the gear to be regulated down every timexAnd secondly, determining the energy storage power as follows:
Figure 702463DEST_PATH_IMAGE077
（30）
calculating the energy storage power/duration combination (
Figure 54947DEST_PATH_IMAGE078
，
Figure 263074DEST_PATH_IMAGE079
) New energy electric quantity capable of being consumed more in each electricity abandoning event
Figure 904271DEST_PATH_IMAGE080
Comprises the following steps:
Figure 324888DEST_PATH_IMAGE081
（31）
and correcting the power abandonment rate of the new energy in the optimal configuration stage as follows:
Figure 63037DEST_PATH_IMAGE082
（32）
if it is
Figure 114169DEST_PATH_IMAGE083
<When the power abandonment rate is evaluated, the rated power of the stored energy is continuously reduced, the iteration times are increased,x=x+1, continue downshifting to
Figure 39400DEST_PATH_IMAGE084
；
If it is
Figure 529287DEST_PATH_IMAGE085
And when the power abandonment rate assessment index is met, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 308893DEST_PATH_IMAGE086
Optimizing duration
Figure 593244DEST_PATH_IMAGE087
Optimizing the energy capacity to
Figure 271350DEST_PATH_IMAGE088
；
If it is
Figure 237032DEST_PATH_IMAGE089
When the power abandonment rate assessment index is greater than the power abandonment rate assessment index, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 684194DEST_PATH_IMAGE090
Optimizing duration
Figure 139446DEST_PATH_IMAGE091
Optimizing the energy capacity to
Figure 242531DEST_PATH_IMAGE092
。
7. The method of claim 1, further comprising:
according to local areaiDetermining the step of optimizing the capacity of the stored energy configured by the new energy power abandoning caused by the blocked section to determine the whole networkIs/are as followsIAnd the local areas are subjected to energy storage optimization capacity configured by abandoning electricity of new energy due to the fact that the section is blocked.
8. A system for energy storage capacity optimized configuration, comprising:
the power abandonment calculation module is used for calculating the power abandonment rate of new energy resources caused by section blockage in a local area according to a pre-established production simulation operation model;
the energy storage initial capacity determining module is used for adding energy storage to determine the newly increased and decreased electric quantity of the new energy and the corrected electricity abandoning rate of the new energy when the electricity abandoning rate of the new energy is greater than the electricity abandoning rate assessment index, and obtaining the energy storage initial capacity meeting the electricity abandoning rate assessment index by using a constant power method according to the corrected electricity abandoning rate of the new energy;
and the energy storage optimization capacity determining module is used for obtaining the optimal configuration time of energy storage based on the cumulative probability of the new energy power abandoning time, performing optimization configuration on the initial energy storage capacity through optimization search according to the optimal configuration time, and determining the energy storage optimization capacity required to be configured when the new energy power abandoning rate assessment index is met, wherein the energy storage optimization capacity comprises the optimized power capacity and the optimized energy capacity.
9. The system of claim 8, wherein the calculate power curtailment module comprises:
the cost determining submodule is used for determining the generating cost of the unit and the cost of calling the demand response load according to the following formula through the pre-collected power grid parameters:
Figure 74221DEST_PATH_IMAGE093
（1）
Figure 313573DEST_PATH_IMAGE094
（2）
wherein the content of the first and second substances,F Ggenerating cost for the unit, including running cost and starting costStart and stop costs;F DRthe cost of responding to the load for the invocation of demand;Tthe entire time period for production simulation;N G、N DRthe number of the conventional units and the number of the demand response load devices are respectively;u i,t 、z j,t is a variable of 0 to 1 and respectively representstTime interval unitiStart-stop state and load response devicejThe calling state of (2);P Gi,tandP DRj,trespectively representtThe output of the time interval machine set and the DR equipment,a i 、b i 、c i as a unitiThe power generation cost parameter of (a) is,S i,t 、D i,t to representtIn the first periodiThe start-up and shut-down costs of the unit,
Figure 939726DEST_PATH_IMAGE095
responding to a load for a demandjThe compensation price of (2);
and the objective function determining submodule is used for determining and establishing a production simulation operation model taking the year as a time period according to the generating cost of the unit and the calling demand response load cost, establishing a mixed integer programming model by taking the minimum system scheduling operation cost as a target, and establishing a target function as follows:
Figure 592424DEST_PATH_IMAGE096
（3）；
wherein the content of the first and second substances,
Figure 149176DEST_PATH_IMAGE097
is the target value.
10. The system of claim 9,
the production simulation run model constraints include at least one of: the system comprises a power balance constraint, a rotation standby constraint, a thermal power unit output constraint, a unit start-stop constraint, a unit climbing constraint, a thermal power unit security power supply constraint, an electric quantity constraint and an output constraint in an adjustment period of an inventory type hydroelectric generating set, a radial flow type hydroelectric generating set output constraint, a new energy output constraint, a calling constraint of a required response side load in the system, a charging and discharging power constraint of energy storage equipment, a charging and discharging state constraint of the energy storage equipment, a capacity constraint of the energy storage equipment and a cycle start and end energy balance constraint;
the power balance constraint is:
Figure 305351DEST_PATH_IMAGE098
（4）
the rotational standby constraints are:
Figure 367985DEST_PATH_IMAGE099
（5）
the output constraint of the thermal power generating unit is as follows:
Figure 180083DEST_PATH_IMAGE100
（6）
the constraint of the start-stop time of the unit is as follows:
Figure 353576DEST_PATH_IMAGE101
（7）
Figure 629836DEST_PATH_IMAGE102
（8）
the unit climbing restraint is as follows:
Figure 801055DEST_PATH_IMAGE103
（9）
the thermal power unit security power supply constraint is as follows:
Figure 897187DEST_PATH_IMAGE104
（10）
the electric quantity constraint in the hydroelectric regulation period is as follows:
Figure 608791DEST_PATH_IMAGE105
、
Figure 942820DEST_PATH_IMAGE106
、
Figure 81677DEST_PATH_IMAGE107
（11）
the output constraint of the radial flow type hydroelectric generating set is as follows:
Figure 930685DEST_PATH_IMAGE108
（12）
the new energy output constraint is as follows:
Figure 632930DEST_PATH_IMAGE109
、
Figure 883783DEST_PATH_IMAGE110
（13）
the calling constraint of the demand response side load in the system is as follows:
Figure 193542DEST_PATH_IMAGE111
（14）
Figure 467528DEST_PATH_IMAGE112
（15）
the charging and discharging power constraint of the energy storage device is as follows:
Figure 786514DEST_PATH_IMAGE113
（16）
Figure 626294DEST_PATH_IMAGE114
（17）
the state constraints of the energy storage device are:
Figure 310216DEST_PATH_IMAGE115
（18）
Figure 868237DEST_PATH_IMAGE116
（19）
Figure 725334DEST_PATH_IMAGE117
（20）
the capacity constraints of the energy storage device are:
Figure 622883DEST_PATH_IMAGE118
（21）
Figure 540023DEST_PATH_IMAGE119
（22）
the energy balance constraint at the beginning and the end of the period is as follows:
Figure 37870DEST_PATH_IMAGE120
（23）
wherein the content of the first and second substances,R d,t、R w,tis composed oft(ii) load reserve for a period of time and wind-powered increased reserve demand;
Figure 698658DEST_PATH_IMAGE121
is as followslThe power transmission capacity of the strip connecting line;
Figure 247451DEST_PATH_IMAGE122
is as followshDesk water powertPower at a time;
Figure 538755DEST_PATH_IMAGE123
、
Figure 71368DEST_PATH_IMAGE124
、
Figure 4689DEST_PATH_IMAGE125
is as followshGenerating capacity of the platform water in an adjusting period, wherein the adjusting period corresponds to year, week and day respectively;
Figure 876830DEST_PATH_IMAGE126
is as followshRated maximum power of the station water;
Figure 401352DEST_PATH_IMAGE127
、
Figure 890102DEST_PATH_IMAGE128
respectively the minimum start-up and shut-down time of the unit,
Figure 95956DEST_PATH_IMAGE129
、
Figure 884920DEST_PATH_IMAGE130
is composed oftContinuous run and down time before the time of day,
Figure 49185DEST_PATH_IMAGE131
and
Figure 743341DEST_PATH_IMAGE132
the up-down climbing speeds of the unit are respectively set;E(t) For storing energy during time periodstThe energy storage capacity of (a);e (0) is the capacity at the moment of storing energy 0,
Figure 549623DEST_PATH_IMAGE133
，
Figure 927514DEST_PATH_IMAGE134
respectively an upper limit and a lower limit of the energy storage capacity;
Figure 731522DEST_PATH_IMAGE135
and
Figure 460444DEST_PATH_IMAGE136
the maximum values of the discharge and charge powers respectively,t=0 andt=T endrespectively representing the scheduling cycle start and end periods,
Figure 8100DEST_PATH_IMAGE137
and
Figure 506077DEST_PATH_IMAGE138
the energy storage is in charging and discharging states in a time period t respectively, the two variables are both in a Boolean type, and the physical meaning of energy balance constraint at the beginning and the end of the cycle is that after a scheduling cycle is completed, the energy storage returns to the initial state to prepare for the charging and discharging operation of the next cycle.
11. The system of claim 8, wherein the calculate power curtailment module comprises:
and the solution connecting line transmission power submodule is used for determining the starting output of the unit, then solving the network power flow by using a direct current power flow method to obtain the voltage phase angles of all nodes, and solving the transmission power of the section connecting line:
Figure 277724DEST_PATH_IMAGE139
（24）
wherein the content of the first and second substances,
Figure 697204DEST_PATH_IMAGE140
is a local regioniDelivery cross sectionj-kIn the tie linetThe power to be transmitted at the moment of time,
Figure 579710DEST_PATH_IMAGE141
、
Figure 197773DEST_PATH_IMAGE142
is a nodejAndkin thattThe voltage phase angle at a moment in time,X tie-line,j,k which is the direct current resistance of the line,B tie-line,j,k is the susceptance of the line;
a sub-module for determining local transmission power, which is used for superposing the transmission power of the cross-section connecting line to determine a local areaiDelivery cross-section power delivery
Figure 327272DEST_PATH_IMAGE143
；
And the electricity abandoning curve determining submodule is used for calculating a new energy electricity abandoning curve caused by section blockage in a local area according to the following formula:
Figure 765206DEST_PATH_IMAGE144
（25）
wherein the content of the first and second substances,
Figure 716982DEST_PATH_IMAGE145
is composed oftTime of dayiThe new energy in the local area is not limited by peak regulation due to the electricity abandoning curve of the section blockage;
Figure 127234DEST_PATH_IMAGE146
is a local regioniElectric power abandon caused by insufficient peak regulation;
Figure 240684DEST_PATH_IMAGE147
is a local regioniThe delivery cross section transmits the power,
Figure 431494DEST_PATH_IMAGE148
an upper limit of the delivered power for the section;
and the power abandonment rate calculating submodule is used for calculating the power abandonment rate of the new energy caused by section blockage in a local area according to the new energy power abandonment curve:
Figure 859064DEST_PATH_IMAGE149
（26）
wherein the content of the first and second substances,
Figure 186140DEST_PATH_IMAGE150
is a local regioniBecause of the power abandonment rate of the new energy with blocked cross section,
Figure 736070DEST_PATH_IMAGE151
is a regioniThe internal new energy can be the generated power of grid connection,
Figure 86280DEST_PATH_IMAGE152
the minimum time interval is 1 h.
12. The system of claim 11, wherein the determine an initial capacity to store energy module comprises:
an energy storage power capacity determining submodule for dividing the maximum electric power curtailment in the new energy power curtailment curve into two parts when the new energy power curtailment is larger than a power curtailment assessment indexSGear position, whensWhen =1, the energy storage power capacity is determined according to the following formula:
Figure 379858DEST_PATH_IMAGE153
（27）；
wherein the content of the first and second substances,
Figure 13971DEST_PATH_IMAGE154
for storing energyRate capacity;
and the submodule for calculating the newly added and consumed new energy electric quantity is used for calculating the newly added and consumed new energy electric quantity according to the energy storage power capacity, the newly added and consumed new energy electric quantity represents the electric quantity which can be charged by intersecting the original new energy electricity abandoning curve when the energy storage is charged at rated constant power without considering the constraint of the energy storage energy capacity temporarily, and the new energy electric quantity can be charged all year round
Figure 469223DEST_PATH_IMAGE155
The second power-off event is the local areaiFirst, thenA secondary power-off event at thesThe electric quantity meter which can be consumed under the gear energy storage power is
Figure 634625DEST_PATH_IMAGE156
；
And the electricity abandonment rate correction submodule is used for correcting the electricity abandonment rate of the new energy according to the newly-increased and consumed electric quantity of the new energy:
Figure 200736DEST_PATH_IMAGE157
（28）
wherein the content of the first and second substances,
Figure 440087DEST_PATH_IMAGE158
for the modified local areaiThe power rate of the new energy is abandoned;
determining an initial capacity of stored energy submodule for the local region after said modificationiRate of electricity abandonment of new energy
Figure 331820DEST_PATH_IMAGE159
When the power abandonment rate is not more than the power abandonment rate assessment index for the first time, determining initial energy storage capacity, wherein the initial energy storage capacity comprises initial power capacity and initial energy capacity, and the initial power capacity is
Figure 656622DEST_PATH_IMAGE160
The initial energy capacity is
Figure 26423DEST_PATH_IMAGE161
=max{
Figure 448177DEST_PATH_IMAGE162
，n∈
Figure 448494DEST_PATH_IMAGE163
}；
An iterative operation energy storage initial capacity submodule used for the corrected local areaiRate of electricity abandonment of new energy
Figure 57330DEST_PATH_IMAGE072
When the power abandonment rate is greater than the power abandonment rate assessment index, the initial power of the stored energy is used
Figure 230823DEST_PATH_IMAGE073
Raise and update gearss=s+1, re-determining the new energy electric quantity capable of being newly increased and consumed and the corrected new energy power abandon rate until the corrected local areaiRate of electricity abandonment of new energy
Figure 694034DEST_PATH_IMAGE074
And when the first time is less than or equal to the power abandonment rate assessment index, determining the initial configuration capacity of the stored energy.
13. The system of claim 12, wherein determining an energy storage optimization capacity module comprises:
a sub-module for determining the energy storage configuration time length according to the local areaiSelecting local area according to the characteristics of the new energy power-abandoning curveiThe duration when the cumulative probability of the electricity abandoning duration of the new energy accounts for 50% is taken as the energy storage configuration duration and is recorded asT ref,i ；
According to the initial energy storage capacity, calculating an initial energy storage power value in an optimization stage:
Figure 927569DEST_PATH_IMAGE164
（29）
wherein the content of the first and second substances,
Figure 23701DEST_PATH_IMAGE076
the initial energy capacity is the initial energy capacity in the initial energy storage capacity;
determining an energy storage power submodule for gradually reducing the energy storage power, wherein each time the gear is reduced, the gear is set to be
Figure 938567DEST_PATH_IMAGE165
When adjusted down toxAnd secondly, determining the energy storage power as follows:
Figure 334914DEST_PATH_IMAGE166
（30）
a submodule for calculating the electric quantity of the newly added new energy consumption for calculating the energy storage power/time length combination (
Figure 473771DEST_PATH_IMAGE078
，
Figure 994882DEST_PATH_IMAGE167
) The new energy electric quantity which can be more consumed in each electricity abandoning event is
Figure 775756DEST_PATH_IMAGE080
：
Figure 964292DEST_PATH_IMAGE168
（31）
And the power abandonment rate correction submodule is used for correcting the power abandonment rate of the new energy in the optimal configuration stage into:
Figure 274051DEST_PATH_IMAGE169
（32）
down shift sub-module for if
Figure 344775DEST_PATH_IMAGE083
<When the power abandonment rate is evaluated, the rated power of the stored energy is continuously reduced, the iteration times are increased,x=x+1, continue downshifting to
Figure 850712DEST_PATH_IMAGE084
；
Determining a first energy storage optimized capacity submodule for if
Figure 956071DEST_PATH_IMAGE085
And when the power abandonment rate assessment index is met, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 436731DEST_PATH_IMAGE086
Optimizing duration
Figure 198013DEST_PATH_IMAGE087
Optimizing the energy capacity to
Figure 55111DEST_PATH_IMAGE088
；
Determining a second energy storage optimized capacity sub-module for if
Figure 14977DEST_PATH_IMAGE089
When the power abandonment rate assessment index is greater than the power abandonment rate assessment index, determining that the configuration of the optimal energy storage capacity is completed, and determining the optimized energy storage capacity, wherein the optimized energy storage capacity comprises the following steps: optimizing the power capacity to
Figure 869800DEST_PATH_IMAGE170
Optimizing duration
Figure 915117DEST_PATH_IMAGE171
Optimizing the energy capacity to
Figure 310326DEST_PATH_IMAGE172
。
14. The system of claim 8, further comprising:
determining a whole-network energy storage optimization capacity module for local area basisiDetermining the energy storage optimization capacity of the whole network by the step of configuring the energy storage optimization capacity by the new energy power abandoning caused by the blocked sectionIAnd the local areas are subjected to energy storage optimization capacity configured by abandoning electricity of new energy due to the fact that the section is blocked.
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