CN112132320B - Regional power grid power resource sensing method, storage medium and equipment - Google Patents
Regional power grid power resource sensing method, storage medium and equipment Download PDFInfo
- Publication number
- CN112132320B CN112132320B CN202010863505.6A CN202010863505A CN112132320B CN 112132320 B CN112132320 B CN 112132320B CN 202010863505 A CN202010863505 A CN 202010863505A CN 112132320 B CN112132320 B CN 112132320B
- Authority
- CN
- China
- Prior art keywords
- section
- power
- plan
- moment
- representing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000003860 storage Methods 0.000 title claims description 8
- 238000010248 power generation Methods 0.000 claims abstract description 41
- 230000003068 static effect Effects 0.000 claims abstract description 10
- 230000000903 blocking effect Effects 0.000 claims description 4
- 238000005192 partition Methods 0.000 claims description 3
- 229910000831 Steel Inorganic materials 0.000 claims description 2
- 239000010959 steel Substances 0.000 claims description 2
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 238000009434 installation Methods 0.000 description 3
- 230000008447 perception Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a regional power grid power resource sensing method, which comprises the following steps: acquiring static power generation parameters and basic data in a regional power grid; and respectively calculating the power resource conditions of all types of sections of the regional power grid according to the static power generation parameters and the basic data, wherein the power resource conditions comprise the outward feeding capacity, the planned tidal current value, the margin and the blocked power value of the sections, the types of the sections comprise common sections, common marginal sections, nested sections and nested marginal sections, and the power resource conditions of all the sections in the regional power grid are summarized. The invention can accurately calculate the power resource condition of the section of the regional power grid, thereby providing basis for the new energy delivery and tie line adjustment of the region.
Description
Technical Field
The invention relates to a regional power grid power resource sensing method, a storage medium and equipment, and belongs to the technical field of power system scheduling.
Background
In recent years, new energy sources of northwest electric grids realize spanning development from total installed quantity to utilization level. In 2009, the installed scale of northwest power grids increased approximately 3.5 times, with new energy installation increasing more than 40 times. By 2018, the northwest power grid dispatching caliber general assembly machine reaches 2.49 hundred million kilowatts, the new energy installation reaches 8941 kilowatts, and the installation ratio is 35.43%; wherein, the wind power is 4894.6 kilowatts, the photovoltaic is 4046.1 kilowatts, and 2 kilowatts of wind power bases of Gansu spring, xinjiang Hami and 2 five million kilowatts of photovoltaic bases of Gansu Hexi and Qinghai Hexi have been formed.
The operation of the northwest power grid with high new energy ratio becomes a normal state, the section power discarding becomes a main cause of the power grid power discarding, the new energy section is mainly a provincial regulation pipe, and the traditional regional power grid power generation resource perception taking provincial (autonomous region) as a unit can not meet the requirement of the power grid lean management.
Disclosure of Invention
The invention provides a regional power grid power resource sensing method which can accurately calculate the power resource condition of a regional power grid section, thereby providing a basis for the new energy output and tie line adjustment of a region.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: a regional power grid power resource awareness method, comprising the steps of: acquiring static power generation parameters and basic data in a regional power grid; according to the static power generation parameters and the basic data, respectively calculating the power resource conditions of various sections of the regional power grid, wherein the power resource conditions comprise the outward feeding capacity, the planned tidal current value, the margin and the blocked power value of the sections, and the types of the sections comprise common sections, common marginal sections, nested sections and nested marginal sections; and summarizing the power resource conditions of all sections in the regional power grid.
Further, the static power generation parameters comprise the maximum technical output of the unit, rated capacity, minimum technical output, a section belonging to a conventional power plant, a section limit, a section nesting relationship and a section belonging to a partition, and the basic data comprise the system load prediction of the section, new energy prediction and a conventional unit power generation plan.
Further, the power resource conditions of the common section are as follows:
D max,t ＝N t +F max -S t (1)
D min,t ＝N t +F min -S t (2)
D plan,t ＝N t +F plan,t -S t (3)
D margin,t ＝D lim -F plan,t (4)
D suff，t ＝max(0,D min,t -D lim ) (5)
wherein D is max,t Represents the maximum outward feeding capacity of the common section t moment D min,t Represents the minimum outward feeding capacity of the common section t moment D plan,t Planning a tide current value D for the moment t of a common section margin,t D is the margin of the moment t of the common section suff，t Is the electric power value blocked at the moment of the common section t, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is a section limit.
Further, the power resource conditions of the common marginal section are as follows:
B max,t ＝N t +F max -S t +T t (6)
B min,t ＝N t +F min -S t +T t (7)
B plan,t ＝N t +F plan,t -S t -T t (8)
B margin,t ＝D lim -F plan,t (9)
B suff，t ＝max(0,B min,t -D lim ) (10)
wherein B is max,t Represents the maximum outward feeding capacity of the common marginal section t moment, B min,t Represents the minimum outward feeding capacity of the common marginal section t moment, B plan,t Planning a tide current value for the moment t of a common marginal section, B margin,t B is the margin of the t moment of the common marginal section suff,t Is the electric power value blocked at the moment of the common marginal section T, T t Representing a geographic tie-line plan within the province at time t, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is a section limit.
Further, the power resource conditions of the nested section are:
Q margin,t ＝D lim -F plan,t (14)
Q suff，t ＝max(0,Q min,t -D lim ) (15)
wherein Q is max,t Represents the maximum outward capacity of the nested section t moment, Q min,t Representing the minimum outward feeding capacity of the nested marginal section t moment, Q plan,t Planning a tidal current value for the time t of the nested section, Q margin,t For the margin of t moment of nested section, Q suff,t The power value is blocked at the moment of the nested section t,is the hindered power value at the time of the sub-section t, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is a section limit->The value of the blocked power at the time t of the sub-section.
Further, the power resource conditions of the nested marginal section are:
R margin,t ＝D lim -F plan,t (19)
R suff，t ＝max(0,R min,t -D lim ) (20)
wherein R is max,t Representing maximum outward feeding capacity at t time of nested marginal section, R min,t Representing the minimum outward feeding capacity of the nested marginal section t moment, R plan,t Is embedded intoPlanning a tidal current value R at t moment of a boundary section of the sleeve margin,t For nesting margin t moment of marginal section, R suff,t For nesting the power value blocked at the moment t of the marginal section, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is the limit of the section of the steel plate,the value of the blocked power at the time t of the sub-section.
Further, the summarizing the power resource conditions of all sections in the regional power grid comprises the following steps: the total blocking, total upper standby, total lower standby and total margin of the area are respectively obtained for the blocking power values, the maximum outward feeding capacity, the minimum outward feeding capacity and the margin of all sections; and calculating and obtaining new energy prediction of the area after the section is considered to be blocked according to the total blockage.
Further, the new energy prediction after the section is considered to be blocked is as follows:
N Pro，t ＝N1 t +N2 t +.....+N t -P suffPro,t (24)
wherein N1 t .....Nn t New energy prediction at section t moment required to be calculated for the region, P suffPro，t To be totally hindered, N Pro，t For this saving, new energy sources after the section is blocked are considered.
A computer readable storage medium storing one or more programs, characterized by: the one or more programs include instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-8.
A computing device, characterized by: comprising one or more processors, a memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 1-8.
According to the invention, the power resource conditions of the common section, the common marginal section, the nested section and the nested marginal section in the area are integrated to obtain the total blockage, the total upper reserve, the total lower reserve and the total margin of the area, and the area considers the new energy prediction after the section blockage, so that a basis is provided for adjusting the connecting line, the overall network overall new energy consumption is facilitated, the overall adjustment capacity of the system is excavated, the overall network sharing of the consumed resources is realized, and the intelligent level of the new energy consumption is improved.
Drawings
Fig. 1 is a flowchart of a regional power grid power resource sensing method according to an embodiment of the present invention.
Detailed Description
For a better understanding of the nature of the present invention, reference should be made to the following description of the invention taken in conjunction with the accompanying drawings.
The invention provides a regional power grid power resource sensing method, which is shown in fig. 1, and specifically comprises the following steps:
step one, acquiring static power generation parameters of a regional power grid of a section, generating regional power grid resource perception data preparation scenes based on the section, and acquiring basic data required by regional power grid resource perception based on the section.
The static power generation parameters comprise the maximum technical output, rated capacity and minimum technical output of the unit, the section limit and section nesting relation of the conventional power plant, and the section partition.
The basic data comprise system load prediction of the section, new energy prediction and conventional unit power generation plans.
And step two, calculating the power resource condition of the common section and the power resource condition of the common marginal section of the regional power grid according to the basic data. The power resource conditions include capacity at the section, planned tidal current values, and margin. The common marginal section is a marginal section without other sections inside.
The method specifically comprises the following steps:
1. and determining the common section and the common marginal section. The common marginal section is a section which does not contain other sections inside and one side is an inter-provincial alternating current line segment; the common section is a section which does not contain other sections inside, and both sides are provincial alternating current line segments.
2. And calculating the outward feeding capacity, the planned tidal current value, the margin and the new energy prediction of the common section at the moment t.
D max,t ＝N t +F max -S t (1)
D min,t ＝N t +F min -S t (2)
D plan,t ＝N t +F plan,t -S t (3)
D margin,t ＝D lim -F plan,t (4)
D suff，t ＝max(0,D min,t -D lim ) (5)
Wherein D is max,t Represents the maximum outward feeding capacity of the common section t moment D min,t Represents the minimum outward feeding capacity of the common section t moment D plan,t Planning a tide current value D for the moment t of a common section margin,t D is the margin of the moment t of the common section suff，t Is the electric power value blocked at the moment of the common section t, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is a section limit.
3. And calculating the outward feeding capacity, the planned tidal current value and the margin of the common marginal section at the moment t.
B max,t ＝N t +F max -S t +T t (6)
B min,t ＝N t +F min -S t +T t (7)
B plan,t ＝N t +F plan,t -S t -T t (8)
B margin,t ＝D lim -F plan,t (9)
B suff，t ＝max(0,B min,t -D lim ) (10)
Wherein B is max,t Represents the maximum outward feeding capacity of the common marginal section t moment, B min,t Represents the minimum outward feeding capacity of the common marginal section t moment, B plan,t Planning a tide current value for the moment t of a common marginal section, B margin,t B is the margin of the t moment of the common marginal section suff,t Is the electric power value blocked at the moment of the common marginal section T, T t And representing the geographic tie line plan in the province at the time t.
And thirdly, calculating to obtain the power resource condition of the nested cross section according to the power resource condition of the common cross section of the regional power grid, and calculating to obtain the power resource condition of the nested marginal cross section according to the power resource condition of the common marginal cross section of the regional power grid. The nested section is a section containing other defined new energy sources. The sections containing other sections are called parent sections, and the sections contained are called child sections.
1. And calculating and obtaining the power resource condition of the nested section of the parent section according to the power resource condition of the common section of the regional power grid.
Q margin,t ＝D lim -F plan,t (14)
Q suff，t ＝max(0,Q min,t -D lim ) (15)
Wherein Q is max,t Representation inlayMaximum outward feeding capacity of sleeve section t moment, Q min,t Representing the minimum outward feeding capacity of the nested marginal section t moment, Q plan,t Planning a tidal current value for the time t of the nested section, Q margin,t For the margin of t moment of nested section, Q suff,t The power value is blocked at the moment of the nested section t,the value of the blocked power at the time t of the sub-section.
2. And calculating to obtain the power resource condition of the nested marginal section according to the power resource condition of the marginal section of the regional power grid.
R margin,t ＝D lim -F plan,t (19)
R suff，t ＝max(0,R min,t -D lim ) (20)
Wherein R is max,t Representing maximum outward feeding capacity at t time of nested marginal section, R min,t Representing the minimum outward feeding capacity of the nested marginal section t moment, R plan,t Planning a tide current value for t moment of nested marginal section, R margin,t For nesting margin t moment of marginal section, R suff,t And the power value is blocked at the moment t of the nested marginal section.
3. And (3) repeating the third step for the section with the multi-layer nested relation to obtain the power resource condition of the section. I.e., the parent section in the first nest acts as the child section in the second nest.
And step four, calculating the combined power resource condition of all types of sections of a certain area.
1. The calculation section required in the province (area) is obtained.
2. And summarizing the power resources of the required calculation section in the province (area), thereby obtaining the power resource condition of the province (area).
The blockage of the common section t moment required by the province can be calculated according to the formula 5 and is respectively marked as D1 suff， t .....Dn suff，t The hindered power value at the time t of the common marginal section required by the province can be calculated according to the formula 10 and is respectively recorded as B1 suff，t .....Bn suff，t The hindered power value at the time t of the nesting section required by the province can be calculated according to the formula 15 and is respectively recorded as Q1 suff，t ....Qn suff，t The hindered power value at the time t of the marginal nested section required by the province can be calculated according to the formula 20 and is respectively recorded as R1 suff，t ....Rn suff，t Summarizing the hindered power values of all types of sections to obtain a total hindered P in a certain province suffPro，t ：
The upper reserve at the time of the common section t required by the province can be calculated by the formula 1 and is respectively marked as D1 max， t .....Dn max，t The upper reserve at the time t of the marginal section required by the province can be calculated by the formula 6 and is respectively marked as B1 max，t .....Bn max，t The upper reserve at the time of the nest cross section t required by the province can be calculated by the formula 11 and is respectively marked as Q1 max，t .....Qn max，t The upper reserve at the time t of the nesting marginal section required by the province can be calculated by the formula 16 and is respectively marked as R1 max，t ....Rn max，t Summarizing the upper reserve of all types of sections to obtain a total upper reserve P of a certain province maxPro，t ：
The next reserve at the moment of the normal section t required by the province can be calculated by the formula 2 and is respectively marked as D1 min， t .....Dn min，t The next reserve at the time t of the common marginal section required by the province can be calculated by the formula 7 and is respectively marked as B1 min，t .....Bn min，t The next reserve at the time of the nest cross section t required by the province can be calculated by the formula 12 and is respectively marked as Q1 min，t .....Qn min，t The next reserve at the time t of the nesting marginal section required by the province can be calculated according to the formula 17 and is respectively marked as R1 min，t ....Rn min，t Summarizing the lower reserve of all types of sections to obtain a total lower reserve P of a certain province minPro，t ：
Then the new energy prediction N after the fracture surface is blocked is considered at the time t of the province (region) Pro，t The method comprises the following steps:
N Pro，t ＝N1 t +N2 t +.....+N t -P suffPro,t (24)
wherein N1 t .....Nn t New energy prediction at section t moment required to be calculated for the region, N Pro，t For this saving, new energy sources after the section is blocked are considered.
And fifthly, summarizing the power resource conditions of the multiple areas.
And combining the northwest whole network power resource conditions according to the northwest five-province (regional) power resource conditions.
1. The sections of Shaanxi, gansu, qinghai, ningxia and Xinjiang can be obtained from 21 respectively, and are respectively P Suff Shanxi, t ，P Suff Gansu, t ，P surf Qinghai, t ，P Suff Ningxia, t ，P Xinjiang, t Summarizing to obtain total hindered P in northwest region Suff northwest, t ：
P Suff northwest, t ＝P Suff Shanxi, t +P Suff Gansu, t +P Suff Qinghai，t +P Suff Ningxia, t +P Xinjiang, t (25)
2. The cross section of Shaanxi, gansu, qinghai, ningxia and Xinjiang can be obtained from 22, and are respectively P max Shanxi, t ，P max Gansu, t ，P max Qinghai, t ，P max Ningxia, t ，P max Xinjiang, t Summarizing to obtain the total reserve P in the northwest region max northwest, t The total upward margin in northwest area is:
P max northwest, t ＝P max Shanxi, t +P max Gansu, t +P max Qinghai, t +P max Ningxia, t +P max Xinjiang, t (26)
3. The cross section of Shaanxi, gansu, qinghai, ningxia and Xinjiang can be obtained from 23, and are respectively P min Shanxi, t ，P min Gansu, t ，P min Qinghai, t ，P Minning Xia, t ，P Xinjiang min, t Summarizing to obtain the total reserve P in the northwest region min northwest, t Namely, the total downward margin in northwest area:
P min northwest, t ＝P min Shanxi, t +P min Gansu, t +P min Qinghai, t +P Minning Xia, t +P Xinjiang min, t (27)
4. New energy predictions after the section is blocked in general consideration of Shaanxi, gansu, qinghai, ningxia and Xinjiang can be obtained from 24, and are respectively N Shanxi, t ，N Gansu, t ，N Qinghai, t ，N Ningxia, t ，N Xinjiang, t Summarizing to obtain new energy prediction N after total consideration of northwest region is blocked Northwest, t ：
N Northwest, t ＝N Shanxi, t +N Gansu, t +N Qinghai, t +N Ningxia, t +N Xinjiang, t (28)
It will be appreciated by those skilled in the art that embodiments of the present application 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 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
The foregoing is illustrative of the present invention and is not to be construed as limiting thereof, but rather as providing for the use of additional embodiments and advantages of all such modifications, equivalents, improvements and similar to the present invention are intended to be included within the scope of the present invention as defined by the appended claims.
Claims (5)
1. The regional power grid power resource sensing method is characterized by comprising the following steps of:
acquiring static power generation parameters and basic data in a regional power grid;
according to the static power generation parameters and the basic data, respectively calculating the power resource conditions of various sections of the regional power grid, wherein the power resource conditions comprise the outward feeding capacity, the planned tidal current value, the margin and the blocked power value of the sections, and the types of the sections comprise common sections, common marginal sections, nested sections and nested marginal sections;
summarizing the power resource conditions of all sections in the regional power grid;
the power resource conditions of the common section are as follows:
D max,t ＝N t +F max -S t (1)
D min,t ＝N t +F min -S t (2)
D plan,t ＝N t +F plan,t -S t (3)
D margin,t ＝D lim -F plan,t (4)
D suff，t ＝max(0,D min,t -D lim ) (5)
wherein D is max,t Represents the maximum outward feeding capacity of the common section t moment D min,t Represents the minimum outward feeding capacity of the common section t moment D plan,t Planning a tide current value D for the moment t of a common section margin,t D is the margin of the moment t of the common section suff，t Is the electric power value blocked at the moment of the common section t, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is a section limit;
the power resource conditions of the common marginal section are as follows:
B max,t ＝N t +F max -S t +T t (6)
B min,t ＝N t +F min -S t +T t (7)
B plan,t ＝N t +F plan,t -S t -T t (8)
B margin,t ＝D lim -F plan,t (9)
B suff，t ＝max(0,B min,t -D lim ) (10)
wherein B is max,t Represents the maximum outward feeding capacity of the common marginal section t moment, B min,t Represents the minimum outward feeding capacity of the common marginal section t moment, B plan,t Planning a tide current value for the moment t of a common marginal section, B margin,t B is the margin of the t moment of the common marginal section suff,t Is the electric power value blocked at the moment of the common marginal section T, T t Representing a geographic tie-line plan within the province at time t, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is a section limit;
the power resource conditions of the nested section are as follows:
Q margin,t ＝D lim -F plan,t (14)
Q suff，t ＝max(0,Q min,t -D lim ) (15)
wherein Q is max,t Represents the maximum outward capacity of the nested section t moment, Q min,t Representing the minimum outward feeding capacity of the nested marginal section t moment, Q plan,t Planning a tidal current value for the time t of the nested section, Q margin,t For the margin of t moment of nested section, Q suff,t The power value is blocked at the moment of the nested section t,is the hindered power value at the time of the sub-section t, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is a section limit->The value is the hindered power value at the time t of the sub-section;
the power resource conditions of the nested marginal section are as follows:
R margin,t ＝D lim -F plan,t (19)
R suff，t ＝max(0,R min,t -D lim ) (20)
wherein R is max,t Representing maximum outward feeding capacity at t time of nested marginal section, R min,t Representing the minimum outward feeding capacity of the nested marginal section t moment, R plan,t Planning a tide current value for t moment of nested marginal section, R margin,t For nesting margin t moment of marginal section, R suff,t For nesting the power value blocked at the moment t of the marginal section, N t New energy prediction at section t time is shown, S t Representing the system load prediction at section t time, F plan,t Representing the power generation plan of a conventional section unit, F max Representing the maximum power generation capacity of a conventional unit with a section, F min Representing the minimum power generation capacity of a conventional unit with a section, D lim Is the limit of the section of the steel plate,the value is the hindered power value at the time t of the sub-section;
the step of summarizing the power resource conditions of all sections in the regional power grid comprises the following steps:
the total blocking, total upper standby, total lower standby and total margin of the area are respectively obtained for the blocking power values, the maximum outward feeding capacity, the minimum outward feeding capacity and the margin of all sections;
and calculating and obtaining new energy prediction of the area after the section is considered to be blocked according to the total blockage.
2. The regional power grid power resource awareness method of claim 1, wherein: the static power generation parameters comprise the maximum technical output, rated capacity and minimum technical output of the unit, the section belonging to the conventional power plant, the section limit, the section nesting relation and the section belonging to the partition, and the basic data comprise the system load prediction of the section, the new energy prediction and the conventional unit power generation plan.
3. The regional power grid power resource awareness method of claim 1, wherein: the new energy prediction after the section is considered to be blocked is as follows:
N Pro，t ＝N1 t +N2 t +.....+N t -P suffPro,t (24)
wherein N1 t .....Nn t New energy prediction at section t moment required to be calculated for the region, P suffPro，t To be totally hindered, N Pro，t To consider the new energy after the section is blocked.
4. A computer readable storage medium storing one or more programs, characterized by: the one or more programs include instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-3.
5. A computing device, characterized by: comprising one or more processors, a memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010863505.6A CN112132320B (en) | 2020-08-25 | 2020-08-25 | Regional power grid power resource sensing method, storage medium and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010863505.6A CN112132320B (en) | 2020-08-25 | 2020-08-25 | Regional power grid power resource sensing method, storage medium and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112132320A CN112132320A (en) | 2020-12-25 |
| CN112132320B true CN112132320B (en) | 2024-02-20 |
Family
ID=73847191
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010863505.6A Active CN112132320B (en) | 2020-08-25 | 2020-08-25 | Regional power grid power resource sensing method, storage medium and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112132320B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016062179A1 (en) * | 2014-10-24 | 2016-04-28 | 南京南瑞继保电气有限公司 | Method for implementing plan security check on the basis of power grid operation service bus |
| CN110363335A (en) * | 2019-06-21 | 2019-10-22 | 国电南瑞科技股份有限公司 | Consider the real-time generation schedule optimization method of northern Shensi cascade cross-section limitation linkage adjustment |
-
2020
- 2020-08-25 CN CN202010863505.6A patent/CN112132320B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016062179A1 (en) * | 2014-10-24 | 2016-04-28 | 南京南瑞继保电气有限公司 | Method for implementing plan security check on the basis of power grid operation service bus |
| CN110363335A (en) * | 2019-06-21 | 2019-10-22 | 国电南瑞科技股份有限公司 | Consider the real-time generation schedule optimization method of northern Shensi cascade cross-section limitation linkage adjustment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112132320A (en) | 2020-12-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11221594B2 (en) | Practical method for short-term operations of super large-scale hydropower plants | |
| CN105046395B (en) | Method for compiling day-by-day rolling plan of power system containing multiple types of new energy | |
| CN107276127B (en) | Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan | |
| CN111555281B (en) | Method and device for simulating flexible resource allocation of power system | |
| CN104268800B (en) | Wind-electricity integration peak regulation balance decision method based on scene library | |
| KR20140105506A (en) | Adaptation of a power generation capacity and determining of an energy storage unit size | |
| CN112491043B (en) | New energy enrichment power grid power supply planning method and system | |
| CN107196349A (en) | A kind of new energy real power control method of Electricity Market electricity power transaction | |
| CN112381375B (en) | Rapid generation method for power grid economic operation domain based on tide distribution matrix | |
| CN104463378A (en) | Algorithm for wind power generation absorption capacity of provincial power grid in area where hydropower resources are rich | |
| JP2017174277A (en) | Operation planning calculation apparatus, operation planning calculation method, and operation planning calculation program | |
| CN113644670A (en) | Method and system for optimally configuring energy storage capacity | |
| CN109919398A (en) | The zonal reserve Optimal Configuration Method of electric system containing wind-powered electricity generation based on figure partitioning algorithm | |
| CN107528348A (en) | One kind is based on the probabilistic step power station load adjustment method of water | |
| Tahir et al. | Optimal ESS size calculation for ramp rate control of grid-connected microgrid based on the selection of accurate representative days | |
| CN103887813A (en) | Control method of wind power system operation based on wind power prediction uncertainty | |
| CN113659620A (en) | Water-wind complementary power generation system day-ahead scheduling method based on dynamic frequency constraint | |
| CN116111597A (en) | Method, system, memory and equipment for constructing tidal current section scene set of medium-long term scheduling plan | |
| CN110752598B (en) | Method and device for evaluating flexibility of multipoint distributed energy storage system | |
| CN117277444B (en) | New energy base power capacity optimal configuration method and device | |
| WO2024032483A1 (en) | Application method for hydroelectric-photovoltaic complementary scheduling graph of clean energy base | |
| CN110929959B (en) | Method and device for allocating local deep peak regulation expense of power grid | |
| CN112132320B (en) | Regional power grid power resource sensing method, storage medium and equipment | |
| CN112491080A (en) | New energy installation layout planning method and system | |
| CN116646987A (en) | Multi-resource cooperative scheduling method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |