CN108510158A - A kind of interregional formulating method and device sent by electricity plan - Google Patents
A kind of interregional formulating method and device sent by electricity plan Download PDFInfo
- Publication number
- CN108510158A CN108510158A CN201810187113.5A CN201810187113A CN108510158A CN 108510158 A CN108510158 A CN 108510158A CN 201810187113 A CN201810187113 A CN 201810187113A CN 108510158 A CN108510158 A CN 108510158A
- Authority
- CN
- China
- Prior art keywords
- power grid
- peak regulation
- electricity
- interregional
- ith zone
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 93
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000033228 biological regulation Effects 0.000 claims abstract description 115
- 238000005457 optimization Methods 0.000 claims description 33
- 230000014509 gene expression Effects 0.000 claims description 16
- 230000009194 climbing Effects 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000003827 upregulation Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 claims 1
- 230000008901 benefit Effects 0.000 abstract description 7
- 230000000295 complement effect Effects 0.000 abstract description 7
- 230000006870 function Effects 0.000 description 48
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 21
- 238000010248 power generation Methods 0.000 description 20
- 238000010586 diagram Methods 0.000 description 11
- 238000007726 management method Methods 0.000 description 5
- 239000003245 coal Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000013439 planning Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000005211 surface analysis Methods 0.000 description 2
- 241000692770 Taraxia ovata Species 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
- 238000013316 zoning Methods 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of interregional formulating method and device sent by electricity plan, this method includes：According to the peak regulation demand of each regional power grid, the peak regulation service demand factor α of each regional power grid is determinedi；According to the peak regulation service demand factor α of each regional power gridi, the interregional object function for sending the Optimized model by electricity plan of structure：Establish bound for objective function；According to object function and constraints, the interregional Optimized model sent by electricity plan is established.Calculating is optimized to Optimized model, interregional send is obtained and is planned by electricity.The technical solution of the embodiment of the present invention, by introducing peak regulation service demand factor, Optimized model is set to take into account the practical peak regulation demand of each regional power grid, consider the complementary characteristic of interregional load and power supply, the peak regulation pressure of each regional power grid can not only effectively be alleviated, the peak modulation capacity of each regional power grid and the economic benefit of operation of power networks are improved, and there is higher feasibility and reliability, is suitable for the engineering reality and management system of China great Qu grades of power grid.
Description
Technical field
The present invention relates to economy operation of power grid field more particularly to a kind of interregional formulating methods and dress sent by electricity plan
It sets.
Background technology
In the power system, the interconnection of regional power grid brings very golden eggs to safe operation and economical operation.Multizone
Interconnected electric power system not only can more reasonably allocate hair, power supply, and wrong paddy of avoiding the peak hour reduces the peak load of association system, may be used also
More reasonably to utilize all kinds of power resources such as water, fire, wind, to obtain better total benefit.It formulates and coordinates sending for each region
The whole network resource can be made full use of by electricity plan, and alleviates the effective way of electric system peak regulation pressure.
In the actual conditions of China's bulk power grid scheduling at present, interregional send by the electric Planning procedure planned is typically higher level's tune
Degree mechanism, which is first formulated and issued, initially to be sent by electric Plan Curve, and subordinate's scheduling institution works out startup-shutdown and generation schedule accordingly, so
Higher level's scheduling institution is planned further according to each provinces and regions afterwards economy and Security Checking are as a result, adjustment original plan curve and form
Final interregional send is planned by electricity.Whole process is substantially a kind of heuristic based on priority, is not only worked
Amount is big, and scheme is not fine enough and optimizes so that peak modulation capacity is insufficient, cannot effectively alleviate the big region of peak regulation notch
Peak regulation pressure.
Invention content
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of interregional formulating methods and dress sent by electricity plan
It sets, to improve the peak modulation capacity of each regional power grid.
To reach this purpose, the present invention uses following technical scheme：
In a first aspect, an embodiment of the present invention provides a kind of interregional formulating method given by electricity plan, the method packet
It includes：
According to the peak regulation demand of each regional power grid, the peak regulation service demand factor α of each regional power grid is determinedi；
According to the peak regulation service demand factor α of each regional power gridi, the interregional target letter for sending the Optimized model by electricity plan of structure
Number minf (PGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) it is ith zone
Generated output at period t；It is the maximum generation ability of ith zone；
Establish the bound for objective function；
According to the object function and the constraints, the interregional Optimized model sent by electricity plan is established；
Calculating is optimized to the Optimized model, interregional send is obtained and is planned by electricity.
Further, in the above method, the peak regulation demand according to each regional power grid determines the peak regulation of each regional power grid
Service demand factor αiIncluding：
Receive the peak regulation demand information of each regional power grid；
The peak regulation demand information is calculated according to following formula, obtains the peak regulation service demand factor of each regional power grid
αi：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LIt is the peak and valley value of load of ith zone power grid
Difference, Δ Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is i-th of area
The maximum downward demand of domain power grid,It is the upward creep speed of ith zone power grid,It is the downward of ith zone power grid
Creep speed.
Further, in the above method, the constraints includes：
Area power Constraints of Equilibrium：
Wherein, Pi G(t)、Pi T(t)、Pi L(t) be region i respectively period t generated output, send it is pre- by electrical power, load
Measured value, S indicate that the set in sending end region, R expressions are gathered by end regions；
It send and is constrained by electric equilibrium：
Wherein, ρjIt is the loss factor of sending end region j；
Regional generation bound constrains：
Regional generation ramping rate constraints：
Transmission Corridor capacity consistency：
Wherein,Pi T It is that ability is sent out or entered to the minimum of ith zone power grid,It is that the maximum of ith zone power grid is sent
Go out or entered ability；
Electricity transaction constraint：
Wherein, EiNIt is the Day Trading electricity protocol value of ith zone, ε is electricity tolerance.
Further, described that calculating is optimized to the Optimized model in the above method, it obtains interregional send and is counted by electricity
It draws and includes：
According to project data, the parameter in the object function and constraints is estimated；
Solution is optimized to the object function after estimation, interregional send is obtained and is planned by electricity.
Second aspect, an embodiment of the present invention provides a kind of interregional making device sent by electricity plan, described device packets
It includes：
Coefficient determination module determines the peak regulation demand system of each regional power grid for the peak regulation demand according to each regional power grid
Number αi；
Function builds module, for the peak regulation service demand factor α according to each regional power gridi, build interregional send and planned by electricity
Optimized model object function minf (PGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) it is ith zone
Generated output at period t；It is the maximum generation ability of ith zone；
Module is established in constraint, for establishing the bound for objective function；
Model building module, for according to the object function and the constraints, establishing interregional send and being planned by electricity
Optimized model；
Plan obtains module and obtains interregional send for optimizing calculating to the Optimized model and planned by electricity.
Further, in above-mentioned apparatus, the coefficient determination module includes：
Information receiving unit, the peak regulation demand information for receiving each regional power grid；
Coefficient calculation unit obtains each region electricity for calculating the peak regulation demand information according to following formula
The peak regulation service demand factor α of neti：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LIt is the peak and valley value of load of ith zone power grid
Difference, Δ Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is i-th of area
The maximum downward demand of domain power grid,It is the upward creep speed of ith zone power grid,It is the downward of ith zone power grid
Creep speed.
Further, in above-mentioned apparatus, the constraints includes：
Area power Constraints of Equilibrium：
Wherein, Pi G(t)、Pi T(t)、Pi L(t) be region i respectively period t generated output, send it is pre- by electrical power, load
Measured value, S indicate that the set in sending end region, R expressions are gathered by end regions；
It send and is constrained by electric equilibrium：
Wherein, ρjIt is the loss factor of sending end region j；
Regional generation bound constrains：
Regional generation ramping rate constraints：
Transmission Corridor capacity consistency：
Wherein,Pi T It is that ability is sent out or entered to the minimum of ith zone power grid,It is that the maximum of ith zone power grid is sent
Go out or entered ability；
Electricity transaction constraint：
Wherein, EiNIt is the Day Trading electricity protocol value of ith zone, ε is electricity tolerance.
Further, in above-mentioned apparatus, the plan obtains module and includes：
Parameter estimation unit, for according to project data, estimating to the parameter in the object function and constraints
It calculates；
Plan obtaining unit obtains interregional send and is planned by electricity for optimizing solution to the object function after estimation.
The technical solution that the embodiment of the present invention is provided enables Optimized model to take into account by introducing peak regulation service demand factor
The practical peak regulation demand of each regional power grid, considers the complementary characteristic of interregional load and power supply, can not only effectively alleviate each
The peak regulation pressure of regional power grid improves the peak modulation capacity of each regional power grid and the economic benefit of operation of power networks, and with higher
Feasibility and reliability, be suitable for China great Qu grades of power grid engineering reality and management system.
Description of the drawings
In order to illustrate more clearly of technical scheme of the present invention, attached drawing needed in embodiment will be made below
Simply introduce, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, general for this field
For logical technical staff, without creative efforts, other drawings may also be obtained based on these drawings.
Fig. 1 is a kind of interregional flow diagram for sending the formulating method by electricity plan that the embodiment of the present invention one provides；
Fig. 2 a are to optimize unit generation curve (dry season) in front and back Guangdong Province in the example that the embodiment of the present invention one provides
Schematic diagram；
Fig. 2 b are to optimize front and back Guangdong in the example that the embodiment of the present invention one provides to be matched with load curve by curve is entered
The schematic diagram of situation (dry season)；
Fig. 2 c are to optimize unit generation curve (flood water phase) in front and back Guangdong Province in the example that the embodiment of the present invention one provides
Schematic diagram；
Fig. 2 d are to optimize unit generation curve (flood water phase) in front and back Yunnan Province in the example that the embodiment of the present invention one provides
Schematic diagram；
Fig. 3 is a kind of interregional flow diagram for sending the formulating method by electricity plan provided by Embodiment 2 of the present invention；
Fig. 4 is a kind of interregional flow diagram for sending the formulating method by electricity plan that the embodiment of the present invention three provides；
Fig. 5 is a kind of interregional structural schematic diagram for sending the making device by electricity plan provided by Embodiment 2 of the present invention.
Specific implementation mode
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limitation of the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Attached drawing 1 is please referred to, is flowed by the electric formulating method planned for a kind of interregional send that the embodiment of the present invention one provides
Journey schematic diagram, this method are suitable for formulating the interregional scene sent by electricity plan to coordinate the peak regulation pressure of each regional power grid,
This method send the making device planned by electricity to execute by interregional, which can be integrated in by software and or hardware realization
The inside of electric system.This method specifically comprises the following steps：
S101, the peak regulation demand according to each regional power grid determine the peak regulation service demand factor α of each regional power gridi。
It should be noted that peak regulation service demand factor αiIt is the embodiment of the present invention to need to couple the peak regulation of different zones power grid
It asks, and the Run-time scenario (such as flood water phase and dry season) that reply is different, and what is introduced is used for describing regional power grid peak regulation demand
Parameter.Each regional power grid (including sending end power grid and receiving end power grid) has respective peak regulation service demand factor αi。
S102, the peak regulation service demand factor α according to each regional power gridi, structure is interregional to be sent by the electric Optimized model planned
Object function minf (PGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) it is ith zone
Generated output at period t；It is the maximum generation ability of ith zone.
It should be noted that in order to evaluate Optimized model, it is necessary to which the evaluation function for constructing comprising variable optimizes
Target, referred to as object function, object function generally indicate with minimum.In embodiments of the present invention, optimize it is interregional send by
The target of electricity plan intuitively makes the power generation curve smoothing in region using the variance for minimizing region day power generation sequence.
S103, the bound for objective function is established.
It should be noted that object function under a series of constraintss, can search out one group of parameter value, make some or certain
The desired value of one group of function is optimal.Wherein constraints is either equality constraint can also be inequality constraints.It finds
The key of this group of parameter value can be：Meeting constraints and desired value will be optimal.
S104, according to the object function and the constraints, establish the interregional Optimized model sent by electricity plan.
It should be noted that Optimized model includes design variable, object function and constraints three parts, and it is excellent establishing
When changing model, decision variable and target variable generally can be first determined, then determine the expression formula of object function, then find constraint item
Part solves optimal objective.The object function in Optimized model can be made to determine more rationally, accurately with constraints.
S105, calculating is optimized to the Optimized model, obtains interregional send and is planned by electricity.
It should be noted that interregional send by the Optimized model that electricity is planned that above-mentioned steps are established is linear programming model,
Optimized model is solved using mathematical optimization software, such as GAMS (The General Algebraic Modeling
The high level modeling system of System, Mathematical Planning and optimization), the mathematical optimizations such as AIMMS (system of Optimization Modeling) and CPLEX it is soft
Part.After solution, interregional send by electricity plan (including power generation after optimization and send by electric curve) can be obtained.
For the scheme implementation process for showing the embodiment of the present invention one being more clear, below with south electric network real system
Data make a specific example describe in detail.
Under the background of south electric network transferring electricity from the west to the east, Yunnan, Guizhou are sending ends, and Guangdong, Guangxi are receiving ends, Hainan Power Grid with
The dominant eigenvalues of Guangdong Power Grid are typically small, do not consider here.Consider two kinds of Run-time scenarios of flood water phase and dry season, flood water
Phase, dry season was by taking 28 days November in 2016 as an example by taking 11 days July in 2016 as an example.Interregional load under two kinds of scenes, power generation and
Send powered data as shown in table 1- tables 3.
The load and power generation situation of each provinces and regions of table 1 dry season south electric network
The load and power generation situation of 2 each provinces and regions of flood water phase south electric network of table
South electric network send powered data under 3 two kinds of scenes of table
To ensure the fairness and validity of comparison, (including electricity, section are about for the input data for sending by electrically optimized model
The data such as beam, load prediction) it is data a few days ago, it power generation after being optimized by solving-optimizing model and send by electric curve.
It (is denoted as " reality ", indicate practical plan rather than the same day practical hair transmitted power) comparison with the practical transmission of electricity of the hair a few days ago plan of power grid,
Concrete analysis is as follows：
(1) dry season result of calculation is analyzed
At dry season, the water power regulating power of sending end power grid is strong (especially Yunnan), should be excellent by channel of transferring electricity from the west to the east
First cooperation receiving end power grid (especially Guangdong) carries out peak regulation.The optimization of lower surface analysis technical solution provided in an embodiment of the present invention is imitated
Fruit：
Fig. 2 a are unit generation Curve Matching situation in the front and back Guangdong Province of optimization.As it can be seen that the power generation curve peak valley after optimization
Difference has dropped 6002MW, and curve integrally becomes more smooth, and on the other hand, unit demodulates problem and is also improved.
Fig. 2 b are the front and back Guangdong of optimization by the comparative situation for entering curve and load curve.It can be seen that：1) load peak goes out
Present 46th period, original is entered curve and just stops rising in the 40th period, and is equally occurred by the peak value for entering curve after optimizing
In the 46th period (consistent with load curve)；2) between period 47-50, Guangdong load has dropped 11090MW, is that load power becomes
Change the maximum period, it is former entered curve only lowered 4682MW between period 47-50, there is still a need for undertake for unit in Guangdong Province
The peak regulation notch of 6408MW, and the curve that entered after optimizing has lowered 9006MW, peak regulation notch is reduced to 2083MW.To sum up, withered
When the water phase, the Guangdong after being optimized using the present invention is entered curve and is more matched with load curve, and bigger is played to the peak regulation in Guangdong
Effect.
(2) flood water phase result of calculation is analyzed
In the flood water phase, on the one hand need Yunnan water power of having more than needed being transported to In Guangdong Province, transferring electricity from the west to the east channel will be run
In higher power level, Guangdong is more by the progress peak regulation of unit inside the province at this time；On the other hand, since Yunnan hydropower is full
It sends out, also there will be peak regulation pressure in Yunnan Province.The effect of optimization of lower surface analysis technical solution provided in an embodiment of the present invention：
The unit generation curve in Guangdong and Yunnan is as shown in Fig. 2 c- Fig. 2 d before and after each provinces and regions optimization.It can be seen that：
The peak-valley difference variation for optimizing front and back Guangdong power generation curve is little, but the power generation curve after optimization becomes more smooth,
Eliminate unit simultaneously generates tune phenomenon (primary electricity curve reversed adjust occurs in the 37th, 80,89 periods)；
After optimization, the peak-valley difference of Yunnan power generation curve has dropped 2638MW, reduces the pressure of peak regulation in Yunnan Province.
To sum up, the optimization of the technical solution provided through the embodiment of the present invention is rich in the Yunnan Province of water power in the flood water phase
Interior power generation curve is obviously improved, and the curve of power generation inside the province in Guangdong also has a degree of improvement.
(3) example conclusion
Power supply, load complementary characteristic based on each region, optimization is sent to be planned by electricity, can effectively promote each regional power grid
Economical operation.The two benches that the present invention is established are sent by electric planning optimization model, have taken into account the practical peak regulation demand of each provinces and regions,
The different Run-time scenarios for considering flood water phase and dry season simultaneously, have been obtained by the sample calculation analysis of south electric network as drawn a conclusion：
At dry season, the optimization of the technical solution provided through the embodiment of the present invention, Guangdong is entered curve and load
Curve more matches, and plays the role of bigger to the peak regulation in Guangdong, optimizes the operating condition of receiving end fired power generating unit；On the other hand,
The peak-valley difference of the curve of power generation inside the province in Guangdong is declined, and Yunnan is risen, but the water power regulating power in Yunnan is enough to answer
To peak regulation demand inside the province.
In the flood water phase, the optimization of the technical solution provided through the embodiment of the present invention gives full play to receiving end fired power generating unit
Peak Load Adjustment, improve Yunnan low ebb section water power send level outside, realize clean energy resource maximum capacity consumption.
The technical solution that the embodiment of the present invention is provided enables Optimized model to take into account by introducing peak regulation service demand factor
The practical peak regulation demand of each regional power grid, considers the complementary characteristic of interregional load and power supply, can not only effectively alleviate each
The peak regulation pressure of regional power grid improves the peak modulation capacity of each regional power grid and the economic benefit of operation of power networks, and with higher
Feasibility and reliability, be suitable for China great Qu grades of power grid engineering reality and management system.
Embodiment two
As shown in figure 3, the interregional formulating method sent by electricity plan provided by Embodiment 2 of the present invention, is in embodiment one
On the basis of the technical solution of offer, " according to the peak regulation demand of each regional power grid, the tune of each regional power grid is determined to step S101
Peak service demand factor αi" advanced optimize.Details are not described herein for the explanation of identical as the various embodiments described above or corresponding term.
I.e.：
Receive the peak regulation demand information of each regional power grid；
The peak regulation demand information is calculated according to following formula, obtains the peak regulation service demand factor of each regional power grid
αi：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LIt is the peak and valley value of load of ith zone power grid
Difference, Δ Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is i-th of area
The maximum downward demand of domain power grid,It is the upward creep speed of ith zone power grid,It is the downward of ith zone power grid
Creep speed.
Based on above-mentioned optimization, as shown in figure 3, a kind of interregional formulating method given by electricity plan provided in this embodiment,
It may include steps of：
S201, the peak regulation demand information for receiving each regional power grid.
It should be noted that each regional power grid for receiving to coordinate is required for submitting peak regulation demand information, the peak regulation demand
Information includes the poor peak and valley value of load of regional power grid, output range, maximum up-regulation demand, maximum downward demand, upwards climbing speed
Rate and downward creep speed etc..
S202, the peak regulation demand information is calculated according to following formula, obtains the peak regulation demand of each regional power grid
Factor alphai：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LIt is the peak and valley value of load of ith zone power grid
Difference, Δ Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is i-th of area
The maximum downward demand of domain power grid,It is the upward creep speed of ith zone power grid,It is the downward of ith zone power grid
Creep speed.
It should be noted that each regional power grid, including sending end power grid and receiving end power grid, there is respective peak regulation demand system
Number αi, and the calculation of peak regulation service demand factor is identical.
S203, the peak regulation service demand factor α according to each regional power gridi, structure is interregional to be sent by the electric Optimized model planned
Object function minf (PGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) it is ith zone
Generated output at period t；It is the maximum generation ability of ith zone.
S204, the bound for objective function is established.
In one embodiment, it is preferred that the constraints includes：
Area power Constraints of Equilibrium, for each regional power grid, generated output should be equal to load and send by electricity in region
The sum of power：
Wherein, Pi G(t)、Pi T(t)、Pi L(t) be region i respectively period t generated output, send it is pre- by electrical power, load
Measured value, S indicate that the set in sending end region, R expressions are gathered by end regions；
It send and is constrained by electric equilibrium, the power of always sending outside in sending end region subtracts and always entered power phase with by end regions after network loss
Deng：
Wherein, ρjIt is the loss factor of sending end region j；
Regional generation bound constrains, and each regional generation power needs within the scope of the output of the regional generation ability：
Regional generation ramping rate constraints, each regional generation power need within the scope of the output of the regional generation ability：
Transmission Corridor capacity consistency, since the transimission power of Transmission Corridor limits, region is sent need to be met accordingly by electrical power
Constraint：
Wherein,Pi T It is that ability is sent out or entered to the minimum of ith zone power grid,It is that the maximum of ith zone power grid is sent
Go out or entered ability；
Electricity transaction constraint, in order to meet the day Constraint merchandised between province, send the peak-to-valley value by electric curve to need to meet
Electricity contract constrains：
Wherein, EiNIt is the Day Trading electricity protocol value of ith zone, ε is electricity tolerance.
S205, according to the object function and the constraints, establish the interregional Optimized model sent by electricity plan.
S206, calculating is optimized to the Optimized model, obtains interregional send and is planned by electricity.
The technical solution that the embodiment of the present invention is provided by introducing peak regulation service demand factor, and peak regulation service demand factor is made
For the weight coefficient of each regional power grid optimization aim, so that Optimized model is taken into account the practical peak regulation demand of each regional power grid, examine
Consider the complementary characteristic of interregional load and power supply, can not only effectively alleviate the peak regulation pressure of each regional power grid, improve each area
The peak modulation capacity of domain power grid and the economic benefit of operation of power networks, and there is higher feasibility and reliability, it is suitable for China
The engineering reality and management system of great Qu grades of power grids.
Embodiment three
Fig. 4 is a kind of interregional flow diagram for sending the formulating method by electricity plan that the embodiment of the present invention three provides,
The present embodiment " optimizes calculating to the Optimized model, obtains interregional send on the basis of embodiment two to step S206
Planned by electricity " it is advanced optimized.Details are not described herein for the explanation of identical as the various embodiments described above or corresponding term.I.e.：
According to project data, the parameter in the object function and constraints is estimated；
Solution is optimized to the object function after estimation, interregional send is obtained and is planned by electricity.
Based on above-mentioned optimization, as shown in figure 4, a kind of interregional formulating method given by electricity plan provided in this embodiment,
It may include steps of：
S301, the peak regulation demand information for receiving each regional power grid.
S302, the peak regulation demand information is calculated according to following formula, obtains the peak regulation demand of each regional power grid
Factor alphai：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LIt is the peak and valley value of load of ith zone power grid
Difference, Δ Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is i-th of area
The maximum downward demand of domain power grid,It is the upward creep speed of ith zone power grid,It is the downward of ith zone power grid
Creep speed.
S303, the peak regulation service demand factor α according to each regional power gridi, structure is interregional to be sent by the electric Optimized model planned
Object function minf (PGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) it is ith zone
Generated output at period t；It is the maximum generation ability of ith zone.
S304, the bound for objective function is established.
S305, according to the object function and the constraints, establish the interregional Optimized model sent by electricity plan.
S306, according to project data, the parameter in the object function and constraints is estimated.
Specifically, estimation area power generation bound andPi G With
Adjustable output is calculated according to " installed capacity-maintenance capacity-constrained capacity "Assuming that certain condition estimation is minimum
It contributesPi G , such as to coal unit, consider by all booting on-loads in addition to hesitation, maintenance and scarce coal are shut down, peak regulation depth
By practical minimum, the 0.6-0.9 times of value etc. that flood season water power low ebb is contributed by average output.In addition, the power generation model in attainable region domain
Enclose for
Estimate dominant eigenvalues bound：
Pi T(t) summation of power on all interconnections that region i is connect with other regions is represented, soTake each Hui Lian
The sum of winding thread rated capacity,Pi T Take 0.
The creep speed of estimation area power generation：
The computation-bound of regional generation climbing rate is in two factors：Before transmission of electricity plan publication, the booting meter in each region
It draws unknown；Simple superposition of the region overall power generation climbing rate not equal to all booting unit climbing rates.
Preferably, the embodiment of the present invention proposes the evaluation method of following dominant eigenvalues bound：
According to the installed capacity of all kinds of power supplys after deducting maintenance in region and being limited, it is multiplied by coefficient and obtains specified climbing
Rate.The specified climbing rate (based on 15 minutes) of all types of units, coal unit are the 22.5% of rated capacity, gas fuel unit
It is the 45% of amount capacity, water power and water-storage are the 100% of rated capacity, and nuclear power and new energy do not consider to adjust.Pass through
The specified climbing rate of following formula zoning power generation：
Wherein, Type={ water power, coal electricity, pneumoelectric, water-storage }, PGi,typeNRepresent the dress of a certain power supply types of region i
Machine capacity, rtypeRepresent the climbing rate coefficient of the type power supply, RGiNFor the specified climbing rate of region i.And the climbing actually used
Rate bound is determined by following formula respectively：
The other parameters of appraising model：
Loss factor ρjValue is the average loss rate that the region is gone over 1 year；Region every other day electricity transaction tolerance takes
Value is between 2%-5%；It can get the payload P of day part according to the load prediction results of each regional power gridi L(t), to
The peak-valley difference Δ P of load curve can be obtainedi L。
S307, solution is optimized to the object function after estimation, obtains interregional send and is planned by electricity.
Specifically, after Optimization Solution, obtains the power generation after interregional optimization and send by electric curve.
The technical solution that the embodiment of the present invention is provided by introducing peak regulation service demand factor, and peak regulation service demand factor is made
For the weight coefficient of each regional power grid optimization aim, so that Optimized model is taken into account the practical peak regulation demand of each regional power grid, examine
Consider the complementary characteristic of interregional load and power supply, can not only effectively alleviate the peak regulation pressure of each regional power grid, improve each area
The peak modulation capacity of domain power grid and the economic benefit of operation of power networks, and there is higher feasibility and reliability, it is suitable for China
The engineering reality and management system of great Qu grades of power grids.
Example IV
Attached drawing 5 is please referred to, is tied by the electric making device planned for a kind of interregional send that the embodiment of the present invention four provides
Structure schematic diagram, the device are adapted for carrying out the interregional formulating method sent by electricity plan provided in an embodiment of the present invention.The device
It include specifically following module：
Coefficient determination module 41 determines the peak regulation demand of each regional power grid for the peak regulation demand according to each regional power grid
Factor alphai；
Function builds module 42, for the peak regulation service demand factor α according to each regional power gridi, build interregional send and counted by electricity
Object function minf (the P for the Optimized model drawnGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) it is ith zone
Generated output at period t；It is the maximum generation ability of ith zone；
Module 43 is established in constraint, for establishing the bound for objective function；
Model building module 44, for according to the object function and the constraints, establishing interregional send and being counted by electricity
The Optimized model drawn.
Plan obtains module 45 and obtains interregional send for optimizing calculating to the Optimized model and planned by electricity.
Technical solution provided in an embodiment of the present invention determines each region electricity by the peak regulation demand according to each regional power grid
The peak regulation service demand factor α of neti；According to the peak regulation service demand factor α of each regional power gridi, the interregional optimization mould sent by electricity plan of structure
Object function minf (the P of typeGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) it is ith zone at period t
Generated output；It is the maximum generation ability of ith zone；Establish the bound for objective function；According to the mesh
Scalar functions and the constraints establish the interregional Optimized model sent by electricity plan.Meter is optimized to the Optimized model
It calculates, obtains interregional send and planned by electricity.Enable Optimized model by introducing peak regulation service demand factor based on the above method and device
The practical peak regulation demand for enough taking into account each regional power grid, considers the complementary characteristic of interregional load and power supply, can not only be effectively
The peak regulation pressure for alleviating each regional power grid improves the peak modulation capacity of each regional power grid and the economic benefit of operation of power networks, and has
There are higher feasibility and reliability, is suitable for the engineering reality and management system of China great Qu grades of power grid.
Preferably, the coefficient determination module includes：
Information receiving unit, the peak regulation demand information for receiving each regional power grid；
Coefficient calculation unit obtains each region electricity for calculating the peak regulation demand information according to following formula
The peak regulation service demand factor α of neti：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LIt is the peak and valley value of load of ith zone power grid
Difference, Δ Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is i-th of area
The maximum downward demand of domain power grid,It is the upward creep speed of ith zone power grid,It is the downward of ith zone power grid
Creep speed.
Preferably, the constraints includes：
Area power Constraints of Equilibrium：
Wherein, Pi G(t)、Pi T(t)、Pi L(t) be region i respectively period t generated output, send it is pre- by electrical power, load
Measured value, S indicate that the set in sending end region, R expressions are gathered by end regions；
It send and is constrained by electric equilibrium：
Wherein, ρjIt is the loss factor of sending end region j；
Regional generation bound constrains：
Regional generation ramping rate constraints：
Transmission Corridor capacity consistency：
Wherein,Pi T It is that ability is sent out or entered to the minimum of ith zone power grid,It is that the maximum of ith zone power grid is sent
Go out or entered ability；
Electricity transaction constraint：
Wherein, EiNIt is the Day Trading electricity protocol value of ith zone, ε is electricity tolerance.
Preferably, the plan acquisition module includes：
Parameter estimation unit, for according to project data, estimating to the parameter in the object function and constraints
It calculates；
Plan obtaining unit obtains interregional send and is planned by electricity for optimizing solution to the object function after estimation.
Above-mentioned apparatus can perform the method that any embodiment of the present invention is provided, and have the corresponding function module of execution method
And advantageous effect.
It is above disclosed to be only a preferred embodiment of the present invention, the power of the present invention cannot be limited with this certainly
Sharp range, those skilled in the art can understand all or part of the processes for realizing the above embodiment, and is weighed according to the present invention
Equivalent variations made by profit requirement, still belong to the scope covered by the invention.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Claims (8)
1. a kind of interregional formulating method sent by electricity plan, which is characterized in that including：
According to the peak regulation demand of each regional power grid, the peak regulation service demand factor α of each regional power grid is determinedi；
According to the peak regulation service demand factor α of each regional power gridi, the interregional object function for sending the Optimized model by electricity plan of structure
minf(PGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) be ith zone when
Generated output under section t；It is the maximum generation ability of ith zone；
Establish the bound for objective function；
According to the object function and the constraints, the interregional Optimized model sent by electricity plan is established；
Calculating is optimized to the Optimized model, interregional send is obtained and is planned by electricity.
2. according to the method described in claim 1, it is characterized in that, the peak regulation demand according to each regional power grid, determines each
The peak regulation service demand factor α of regional power gridiIncluding：
Receive the peak regulation demand information of each regional power grid；
The peak regulation demand information is calculated according to following formula, obtains the peak regulation service demand factor α of each regional power gridi：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LBe ith zone power grid peak and valley value of load it is poor, Δ
Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is ith zone power grid
Maximum downward demand,It is the upward creep speed of ith zone power grid,It is the downward climbing speed of ith zone power grid
Rate.
3. according to the method described in claim 2, it is characterized in that, the constraints includes：
Area power Constraints of Equilibrium：Pi G(t)-Pi T(t)-Pi L(t)=0,
Wherein, Pi G(t)、Pi T(t)、Pi L(t) be region i respectively period t generated output, send by electrical power, load prediction
Value, S indicate that the set in sending end region, R expressions are gathered by end regions；
It send and is constrained by electric equilibrium：
Wherein, ρjIt is the loss factor of sending end region j；
Regional generation bound constrains：
Regional generation ramping rate constraints：
Transmission Corridor capacity consistency：
Wherein,Pi TIt is that ability is sent out or entered to the minimum of ith zone power grid,Be ith zone power grid it is maximum send out or
Entered ability；
Electricity transaction constraint：
Wherein, EiNIt is the Day Trading electricity protocol value of ith zone, ε is electricity tolerance.
4. according to the method described in claim 3, it is characterized in that, described optimize calculating to the Optimized model, obtain
It is interregional send by electricity plan include：
According to project data, the parameter in the object function and constraints is estimated；
Solution is optimized to the object function after estimation, interregional send is obtained and is planned by electricity.
5. a kind of interregional making device sent by electricity plan, which is characterized in that including：
Coefficient determination module determines the peak regulation service demand factor α of each regional power grid for the peak regulation demand according to each regional power gridi；
Function builds module, for the peak regulation service demand factor α according to each regional power gridi, build interregional send and optimized by electric plan
Object function minf (the P of modelGi,t), the expression formula of the object function is as follows：
Wherein, peak regulation service demand factor αiWeight coefficient as each regional power grid optimization aim；Pi G(t) be ith zone when
Generated output under section t；It is the maximum generation ability of ith zone；
Module is established in constraint, for establishing the bound for objective function；
Model building module, for according to the object function and the constraints, establishing interregional send by the excellent of electricity plan
Change model；
Plan obtains module and obtains interregional send for optimizing calculating to the Optimized model and planned by electricity.
6. device according to claim 5, which is characterized in that the coefficient determination module includes：
Information receiving unit, the peak regulation demand information for receiving each regional power grid；
Coefficient calculation unit obtains each regional power grid for calculating the peak regulation demand information according to following formula
Peak regulation service demand factor αi：
Wherein, αiIt is the peak regulation service demand factor of ith zone power grid, Δ Pi LBe ith zone power grid peak and valley value of load it is poor, Δ
Pi GIt is the output range of ith zone power grid, UiIt is the maximum up-regulation demand of ith zone power grid, DiIt is ith zone power grid
Maximum downward demand,It is the upward creep speed of ith zone power grid,It is the downward climbing speed of ith zone power grid
Rate.
7. device according to claim 6, which is characterized in that the constraints includes：
Area power Constraints of Equilibrium：Pi G(t)-Pi T(t)-Pi L(t)=0,
Wherein, Pi G(t)、Pi T(t)、Pi L(t) be region i respectively period t generated output, send by electrical power, load prediction
Value, S indicate that the set in sending end region, R expressions are gathered by end regions；
It send and is constrained by electric equilibrium：
Wherein, ρjIt is the loss factor of sending end region j；
Regional generation bound constrains：
Regional generation ramping rate constraints：
Transmission Corridor capacity consistency：
Wherein,Pi TIt is that ability is sent out or entered to the minimum of ith zone power grid,Be ith zone power grid it is maximum send out or
Entered ability；
Electricity transaction constraint：
Wherein, EiNIt is the Day Trading electricity protocol value of ith zone, ε is electricity tolerance.
8. manufacture according to claim 7, which is characterized in that the plan obtains module and includes：
Parameter estimation unit, for according to project data, estimating the parameter in the object function and constraints；
Plan obtaining unit obtains interregional send and is planned by electricity for optimizing solution to the object function after estimation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810187113.5A CN108510158B (en) | 2018-03-07 | 2018-03-07 | Method and device for making inter-area power transmission and reception plan |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810187113.5A CN108510158B (en) | 2018-03-07 | 2018-03-07 | Method and device for making inter-area power transmission and reception plan |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108510158A true CN108510158A (en) | 2018-09-07 |
| CN108510158B CN108510158B (en) | 2020-12-18 |
Family
ID=63376196
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810187113.5A Active CN108510158B (en) | 2018-03-07 | 2018-03-07 | Method and device for making inter-area power transmission and reception plan |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108510158B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019135592A (en) * | 2018-02-05 | 2019-08-15 | 三菱電機株式会社 | Power trading support device and power trading support method |
| CN112186813A (en) * | 2020-09-30 | 2021-01-05 | 中国南方电网有限责任公司 | Method, system and device for dispatching regional power grid of power system and storage medium |
| CN112310969A (en) * | 2019-07-25 | 2021-02-02 | 国网新疆电力公司乌鲁木齐供电公司 | Regional user power supply method |
| CN116632808A (en) * | 2023-03-08 | 2023-08-22 | 南方电网科学研究院有限责任公司 | Power scheduling optimization method and device and nonvolatile storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063808A (en) * | 2014-06-27 | 2014-09-24 | 大连理工大学 | Trans-provincial power transmission cascade hydropower station group peak-shaving dispatching two-phase search method |
| CN104537445A (en) * | 2015-01-13 | 2015-04-22 | 大连理工大学 | Network province two-stage multi-power short-period coordination peak shaving method |
| CN104636831B (en) * | 2015-02-12 | 2016-02-17 | 华中科技大学 | A kind of power station short-term peak regulation eigenvalue search method towards many electrical networks |
| CN107274302A (en) * | 2017-07-06 | 2017-10-20 | 大连理工大学 | It is a kind of transprovincially to interconnect the long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS |
| CN107546736A (en) * | 2016-06-26 | 2018-01-05 | 国网天津市电力公司 | A kind of virtual regulating units dispatching method based on automatic demand response |
| CN107679679A (en) * | 2017-11-20 | 2018-02-09 | 国网辽宁省电力有限公司电力科学研究院 | Cogeneration machine unit scheduling operation method |
-
2018
- 2018-03-07 CN CN201810187113.5A patent/CN108510158B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063808A (en) * | 2014-06-27 | 2014-09-24 | 大连理工大学 | Trans-provincial power transmission cascade hydropower station group peak-shaving dispatching two-phase search method |
| CN104537445A (en) * | 2015-01-13 | 2015-04-22 | 大连理工大学 | Network province two-stage multi-power short-period coordination peak shaving method |
| CN104636831B (en) * | 2015-02-12 | 2016-02-17 | 华中科技大学 | A kind of power station short-term peak regulation eigenvalue search method towards many electrical networks |
| CN107546736A (en) * | 2016-06-26 | 2018-01-05 | 国网天津市电力公司 | A kind of virtual regulating units dispatching method based on automatic demand response |
| CN107274302A (en) * | 2017-07-06 | 2017-10-20 | 大连理工大学 | It is a kind of transprovincially to interconnect the long-term combined adjusting peak dispatching method of GROUP OF HYDROPOWER STATIONS |
| CN107679679A (en) * | 2017-11-20 | 2018-02-09 | 国网辽宁省电力有限公司电力科学研究院 | Cogeneration machine unit scheduling operation method |
Non-Patent Citations (2)
| Title |
|---|
| 程雄等: "大规模跨区特高压直流水电网省两级协调优化方法", 《电子系统自动化》 * |
| 马艺玮等: "微电网典型特征及关键技术", 《电力系统自动化》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019135592A (en) * | 2018-02-05 | 2019-08-15 | 三菱電機株式会社 | Power trading support device and power trading support method |
| CN112310969A (en) * | 2019-07-25 | 2021-02-02 | 国网新疆电力公司乌鲁木齐供电公司 | Regional user power supply method |
| CN112310969B (en) * | 2019-07-25 | 2024-03-22 | 国网新疆电力公司乌鲁木齐供电公司 | Regional user power supply method |
| CN112186813A (en) * | 2020-09-30 | 2021-01-05 | 中国南方电网有限责任公司 | Method, system and device for dispatching regional power grid of power system and storage medium |
| CN116632808A (en) * | 2023-03-08 | 2023-08-22 | 南方电网科学研究院有限责任公司 | Power scheduling optimization method and device and nonvolatile storage medium |
| CN116632808B (en) * | 2023-03-08 | 2024-05-28 | 南方电网科学研究院有限责任公司 | Power scheduling optimization method and device and nonvolatile storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108510158B (en) | 2020-12-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sarker et al. | Progress on the demand side management in smart grid and optimization approaches | |
| Cao et al. | Capacity planning of energy hub in multi-carrier energy networks: A data-driven robust stochastic programming approach | |
| Wang et al. | Risk-based distributionally robust optimal gas-power flow with wasserstein distance | |
| Mahbub et al. | Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design | |
| CN107276127B (en) | Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan | |
| Liu et al. | Hybrid energy sharing for smart building cluster with CHP system and PV prosumers: A coalitional game approach | |
| CN104779611B (en) | Micro-capacitance sensor economic load dispatching method based on centralized and distributed dual-layer optimization strategy | |
| CN103138256B (en) | A kind of new energy electric power reduction panorama analytic system and method | |
| CN108510158A (en) | A kind of interregional formulating method and device sent by electricity plan | |
| CN111008739B (en) | Optimal regulation and control and income distribution method and system for cogeneration virtual power plant | |
| CN104537428B (en) | One kind meter and the probabilistic economical operation appraisal procedure of wind power integration | |
| Carli et al. | Cooperative distributed control for the energy scheduling of smart homes with shared energy storage and renewable energy source | |
| CN107370157B (en) | Power grid available transmission capacity risk benefit decision method based on power flow entropy | |
| Nguyen et al. | Bi-objective-based cost allocation for cooperative demand-side resource aggregators | |
| CN108281989A (en) | A kind of wind-powered electricity generation Economic Dispatch method and device | |
| CN111667136A (en) | Clearing method and device for regional power market and storage medium | |
| Wu et al. | Simulation-optimization model to derive operation rules of multiple cascaded reservoirs for Nash equilibrium | |
| Ali | Development and Improvement of Renewable Energy Integrated with Energy Trading Schemes based on Advanced Optimization Approaches | |
| Skalyga et al. | Uncertainty-fully-aware coordinated dispatch of integrated electricity and heat system | |
| Tică et al. | Annual performance estimation of a multireservoir system including a pumped storage plant for the mean hydrological year | |
| CN111931977B (en) | Virtual power plant extension planning model construction method considering electric-heat energy transmission value input | |
| CN113364043A (en) | Micro-grid group optimization method based on condition risk value | |
| Zhang et al. | An innovative real-time price based distributed optimal energy management of multi-microgrids in a smart distribution system | |
| Liang et al. | Robust optimal dispatch of interconnected micro-energy network based on cooperative game | |
| Zois et al. | Integrated platform for automated sustainable demand response in smart grids |
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 |