CN110070221A - Power network planning scheme assessment and preferred method and system based on full cost electricity price - Google Patents
Power network planning scheme assessment and preferred method and system based on full cost electricity price Download PDFInfo
- Publication number
- CN110070221A CN110070221A CN201910304827.4A CN201910304827A CN110070221A CN 110070221 A CN110070221 A CN 110070221A CN 201910304827 A CN201910304827 A CN 201910304827A CN 110070221 A CN110070221 A CN 110070221A
- Authority
- CN
- China
- Prior art keywords
- power
- cost
- node
- follows
- load
- 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.)
- Pending
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 74
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000010276 construction Methods 0.000 claims abstract description 44
- 238000011156 evaluation Methods 0.000 claims abstract description 34
- 239000000654 additive Substances 0.000 claims abstract description 8
- 230000000996 additive effect Effects 0.000 claims abstract description 8
- 230000005540 biological transmission Effects 0.000 claims description 18
- 238000010248 power generation Methods 0.000 claims description 11
- 239000013598 vector Substances 0.000 claims description 11
- 239000011159 matrix material Substances 0.000 claims description 9
- 230000005283 ground state Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000006872 improvement Effects 0.000 claims description 3
- 238000011084 recovery Methods 0.000 claims description 3
- 238000011144 upstream manufacturing Methods 0.000 claims description 3
- 241000287196 Asthenes Species 0.000 claims 2
- 230000008859 change Effects 0.000 abstract description 12
- 238000004445 quantitative analysis Methods 0.000 abstract description 6
- 238000011158 quantitative evaluation Methods 0.000 description 5
- 230000007246 mechanism Effects 0.000 description 4
- 240000002853 Nelumbo nucifera Species 0.000 description 3
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 3
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 238000004836 empirical method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000007704 transition 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
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- 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
- 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
-
- 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
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of power network planning scheme assessment and preferred method and system based on full cost electricity price, wherein, this method comprises: electrical network basic data is obtained, according to electrical network basic data calculate node marginal generating cost, node specific load power construction cost and node specific load power O&M cost；Node marginal generating cost, node specific load power construction cost and node specific load power O&M cost linear, additive are generated into the full cost electricity price of power grid；Electric Power Network Planning evaluation index system is established according to the full cost electricity price of power grid；Multiple power network line programmes are assessed according to Electric Power Network Planning evaluation index system, and preferably go out optimal power network planning scheme.This method is capable of the safety and economy of overall merit power network planning scheme, and the lean for being conducive to be promoted Electric Power Network Planning is horizontal, can change the investment planning under background in new electricity for grid company and provide quantitative analysis method and aid decision tool.
Description
Technical field
The present invention relates to Electric Power Network Planning technical field, in particular to a kind of power network planning scheme based on full cost electricity price is commented
Estimate and preferred method and system.
Background technique
Electric Power Network Planning is based on load prediction and power source planning, determine when, where invest to build it is what type of defeated
Electric line and its feeder number, to reach required ability to transmit electricity in planning horizon, under the premise of meeting all technical
Optimize Electric Power Network Planning investment.
The superiority and inferiority of power network planning scheme plays key effect to the safety and stability of power grid and economical operation.Currently, about electricity
The evaluation method of net programme mainly carries out analysis comparison to optional program from safety, reliability etc., and to power grid
The concern of programme economy is inadequate, especially lack effective Electric Power Network Planning economy quantitative evaluating method and decision according to
According to.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.
For this purpose, the power network planning scheme assessment that an object of the present invention is to provide a kind of based on full cost electricity price with it is excellent
Choosing method, this method are capable of the safety and economy of overall merit power network planning scheme, are conducive to the essence for promoting Electric Power Network Planning
Benefitization is horizontal, can change the investment planning under background in new electricity for grid company and provide quantitative analysis method and aid decision tool.
It is another object of the present invention to propose it is a kind of based on full cost electricity price power network planning scheme assessment with preferably
System.
In order to achieve the above objectives, one aspect of the present invention embodiment proposes a kind of Electric Power Network Planning side based on full cost electricity price
Case assessment and preferred method, comprising: obtain electrical network basic data, according to the electrical network basic data calculate node limit power generation at
Originally, node specific load power construction cost and node specific load power O&M cost；By the node marginal generating cost,
It is complete that the node specific load power construction cost and the node specific load power O&M cost linear, additive generate power grid
Cost electricity price；Electric Power Network Planning evaluation index system is established according to the full cost electricity price of the power grid；It is assessed according to the Electric Power Network Planning
Index system assesses multiple power network line programmes, and preferably goes out optimal power network planning scheme.
The power network planning scheme based on full cost electricity price of the embodiment of the present invention is assessed and preferred method, by saving in tradition
On the basis of point Price Mechanisms, power grid construction cost and O&M cost are shared by power flow tracing method and postage stamp method realization,
Form the full cost electricity price of reflection power supply cost spatio-temporal difference.Calculating based on power grid N-1 state trend and full cost electricity price
With compare, realize the quantitative evaluation and preferably of power network planning scheme safety and economy.It being capable of overall merit Electric Power Network Planning side
The safety and economy of case, the lean for being conducive to be promoted Electric Power Network Planning is horizontal, can change under background for grid company in new electricity
Investment planning quantitative analysis method and aid decision tool are provided.
In addition, the power network planning scheme assessment and preferred method according to the above embodiment of the present invention based on full cost electricity price
There can also be following additional technical characteristic:
Further, in one embodiment of the invention, the node limit power generation is calculated based on direct current optimal power flow
Cost ρk,t, step are as follows:
Step 1) constructs the objective function of grid nodes Spot Price Model, expression formula are as follows:
The objective function indicates that day part fired power generating unit cost of electricity-generating is overall minimum, whereinFor controllable continuous change
Amount,For the unit power cost of electricity-generating of unit, ΩGIt is the set of all units；
Step 2) determines the constraint condition of the grid nodes Spot Price Model,
Step 2-1), the general power Constraints of Equilibrium of the grid nodes Spot Price Model are as follows:
Wherein, ΩLDIt is the set of all load bus,For the burden with power of load bus, the general power balance
The entire power grid output power of constraint representation and load Real-time Balancing；
Step 2-2), the line power constraint of the grid nodes Spot Price Model are as follows:
Wherein, ΩULNIt is the set of all routes, GSDFj-iIt represents unit i and distribution factor is shifted to the power generation of route j,For route j transmission maximum active power,For the burden with power of load bus, the line power constraint representation
The transimission power of every route is constrained by line transmission maximum size；
Step 2-3), the generator power constraint of the grid nodes Spot Price Model are as follows:
Pi G, minFor unit minimum active power output, Pi G, maxFor unit maximum active power output, the generator power restriction table
Show constraint of the generated output power by output power bound；
Step 3) solves the grid nodes Spot Price Model, calculates the node marginal generating cost ρk,t,
The grid nodes Spot Price Model is solved by construction Lagrangian, wherein the Lagrange of constraint formula (2)
Multiplier is defined as λk,t, constraint formula (3) Lagrange multiplier be defined asThe Lagrange multiplier of constraint formula (4) is defined asThen t period node marginal generating cost ρ on k-th of nodek,tCalculation expression are as follows:
Further, in one embodiment of the invention, the node specific load function is calculated based on power flow tracing method
Rate construction costStep are as follows:
The node power equilibrium equation of node k are as follows:
Wherein, PkFor the total injecting power of node,For node load power, (k :) it is using node k as the line of upstream node
Road set, FjFor the trend of route j, it is calculated by optimal load flow model；
Formula (7) are converted are as follows:
It is vector form by formula (8) transition matrix, obtains power flow tracing equation are as follows:
AdP=PL (9)
Wherein, P is that node flows into vector power, PLFor node load vector power, AdFor power flow tracing matrix, reflection tide
The fair current distribution condition of stream, AdIn the n-th column element of m row are as follows:
Wherein, F(m,n)Indicate that two end nodes are m, the Line Flow of n, m is to flow into node in route (m, n), and n is outflow section
Point, PnFor total circulation power of node n, work as AdCan the inverse time, node injecting power vectorWherein m-th of list of elements
It is shown as:
For route m, trend on n has formula:
Total construction cost that load bus k should bear is obtained by formula (12) are as follows:
The then node specific load power construction cost that load bus k should bearAre as follows:
Wherein,For total construction cost that load bus k should bear,For node load power,It is the total of route j
Construction cost, PmFor total circulation power of node k, rj.tThe construction cost rate of recovery, A are permitted for transmission line of electricitydFor power flow tracing square
Battle array,For the construction cost of route j.
Further, in one embodiment of the invention, the node specific load power fortune is calculated based on postage stamp method
Tie up costAre as follows:
The O&M cost of power grid whole year isThe whole network hour O&M cost is divided to obtain by the hour are as follows:
The then O&M cost that load bus k should bear in period t are as follows:
The node specific load power O&M cost that load bus k should bear can be obtainedAre as follows:
Further, in one embodiment of the invention, for load bus k, the full cost electricity price of power grid are as follows:
Further, in one embodiment of the invention, the Electric Power Network Planning evaluation index system includes: safety index
And economic indicator, it is described that Electric Power Network Planning evaluation index system is established according to the full cost electricity price of the power grid, comprising:
The safety index includes the rate of load condensate of each power network line programme each route under ground state and N-1 state,
Calculation method are as follows: each route is in the effective power flow of ground state or N-1 state divided by the active transmission capacity of route；
The economic indicator includes that the corresponding route of each power network line programme is newly-built or improvement cost, and each rule
Draw power selling income predicted value of the scheme in the case where predicting load level；Wherein, power selling income predicted value is the full cost electricity of each scheme
The product of valence and prediction load value.
Further, in one embodiment of the invention, it is described according to the Electric Power Network Planning evaluation index system to more
A power network line programme is assessed, and preferably goes out optimal power network planning scheme, further comprises:
The prediction case that the topological structure and physical parameter and future load for obtaining power grid increase, it is raw by presetting method
At the multiple power network line programme；
Safety and economy according to the Electric Power Network Planning evaluation index system to the multiple power network line programme
Property is successively assessed, preferably the optimal power network planning scheme out.
In order to achieve the above objectives, another aspect of the present invention embodiment proposes a kind of Electric Power Network Planning based on full cost electricity price
Scheme evaluation and optimum decision system, comprising: module is obtained, for obtaining electrical network basic data, according to the electrical network basic data meter
Operator node marginal generating cost, node specific load power construction cost and node specific load power O&M cost；Generate mould
Block is used for the node marginal generating cost, the node specific load power construction cost and the node specific load
Power O&M cost linear, additive generates the full cost electricity price of power grid；Module is established, for building according to the full cost electricity price of the power grid
Vertical Electric Power Network Planning evaluation index system；Preferred module is assessed, is used for according to the Electric Power Network Planning evaluation index system to multiple electricity
Cable circuit planning scheme is assessed, and preferably goes out optimal power network planning scheme.
The power network planning scheme based on full cost electricity price of the embodiment of the present invention is assessed and optimum decision system, by saving in tradition
On the basis of point Price Mechanisms, power grid construction cost and O&M cost are shared by power flow tracing method and postage stamp method realization,
Form the full cost electricity price of reflection power supply cost spatio-temporal difference.Calculating based on power grid N-1 state trend and full cost electricity price
With compare, realize the quantitative evaluation and preferably of power network planning scheme safety and economy.It being capable of overall merit Electric Power Network Planning side
The safety and economy of case, the lean for being conducive to be promoted Electric Power Network Planning is horizontal, can change under background for grid company in new electricity
Investment planning quantitative analysis method and aid decision tool are provided.
In addition, the power network planning scheme assessment and optimum decision system according to the above embodiment of the present invention based on full cost electricity price
There can also be following additional technical characteristic:
Further, in one embodiment of the invention, the node limit power generation is calculated based on direct current optimal power flow
Cost ρk,t, step are as follows:
Step 1) constructs the objective function of grid nodes Spot Price Model, expression formula are as follows:
The objective function indicates that day part fired power generating unit cost of electricity-generating is overall minimum, whereinFor controllable continuous change
Amount,For the unit power cost of electricity-generating of unit, ΩGIt is the set of all units；
Step 2) determines the constraint condition of the grid nodes Spot Price Model,
Step 2-1), the general power Constraints of Equilibrium of the grid nodes Spot Price Model are as follows:
Wherein, ΩLDIt is the set of all load bus,For the unit power cost of electricity-generating of unit, the general power
Constraints of Equilibrium indicates entire power grid output power and load Real-time Balancing；
Step 2-2), the line power constraint of the grid nodes Spot Price Model are as follows:
Wherein, ΩULNIt is the set of all routes, GSDFj-iIt represents unit i and distribution factor is shifted to the power generation of route j,For route j transmission maximum active power,For the burden with power of load bus, the line power constraint representation
The transimission power of every route is constrained by line transmission maximum size；
Step 2-3), the generator power constraint of the grid nodes Spot Price Model are as follows:
Pi G,minFor unit minimum active power output, Pi G,maxFor unit maximum active power output, the generator power restriction table
Show constraint of the generated output power by output power bound；
Step 3) solves the grid nodes Spot Price Model, calculates the node marginal generating cost ρk,t,
The grid nodes Spot Price Model is solved by construction Lagrangian, wherein the Lagrange of constraint formula (2)
Multiplier is defined as λk,t, constraint formula (3) Lagrange multiplier be defined asThe Lagrange multiplier of constraint formula (4) is defined asThen t period node marginal generating cost ρ on k-th of nodek,tCalculation expression are as follows:
Further, in one embodiment of the invention, the assessment preferred module, is also used to,
The prediction case that the topological structure and physical parameter and future load for obtaining power grid increase, it is raw by presetting method
At the multiple power network line programme；
Safety and economy according to the Electric Power Network Planning evaluation index system to the multiple power network line programme
Property is successively assessed, preferably the optimal power network planning scheme out.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 assesses for the power network planning scheme based on full cost electricity price according to one embodiment of the invention and preferred method
Flow chart；
Fig. 2 is the Electric Power Network Planning evaluation index system block diagram based on full cost electricity price according to one embodiment of the invention；
Fig. 3 is the Electric Power Network Planning estimation flow figure based on full cost electricity price according to one embodiment of the invention；
Fig. 4 assesses for the power network planning scheme based on full cost electricity price according to one embodiment of the invention and optimum decision system
Structural schematic diagram.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
The power network planning scheme based on full cost electricity price for describing to propose according to embodiments of the present invention with reference to the accompanying drawings is commented
Estimate and preferred method and system.
The power network planning scheme based on full cost electricity price proposed according to embodiments of the present invention is described with reference to the accompanying drawings first
Assessment and preferred method.
Fig. 1 assesses for the power network planning scheme based on full cost electricity price according to one embodiment of the invention and preferred method
Flow chart.
As shown in Figure 1, should based on full cost electricity price power network planning scheme assessment with preferred method the following steps are included:
In step s101, electrical network basic data is obtained, according to electrical network basic data calculate node marginal generating cost, section
Point specific load power construction cost and node specific load power O&M cost.
Specifically, power network planning scheme assessment and preferred core are the full cost electricity price of power grid, and the full cost electricity price of power grid is logical
Cross node marginal generating cost ρk,t, node specific load power construction costAnd node specific load power O&M costThe linear, additive of three components obtains.The generation step of each component is as follows:
1-1) collect electrical network basic data, including topological structure of electric, line impedance, capacity, construction and O&M cost, machine
Pool-size and cost of electricity-generating and each node load prediction data；
Node marginal generating cost ρ 1-2) is acquired based on direct current optimal power flowk,t, the specific steps are as follows:
The objective function of grid nodes Spot Price Model 1-2-1) is constructed, expression formula is as follows:
The objective function indicates that day part fired power generating unit cost of electricity-generating is overall minimum；Wherein,For controllable continuous change
Amount, which is linear programming problem,For the unit power cost of electricity-generating of unit, ΩGIt is the set of all units；
1-2-2) determine the constraint condition of grid nodes Spot Price Model；It is specific as follows:
1-2-2-1) the general power Constraints of Equilibrium of grid nodes Spot Price Model are as follows:
Ω in formulaGIt is the set of all units, ΩLDIt is the set of all load bus,For the active negative of load bus
Lotus；The entire power grid output power of the constraint representation and load Real-time Balancing；
1-2-2-2) the line power constraint of grid nodes Spot Price Model are as follows:
Wherein, ΩULNIt is the set of all routes, GSDFj-iIt represents unit i and distribution factor is shifted to the power generation of route j,For route j transmission maximum active power,For the burden with power of load bus；Line power constraint representation every
The transimission power of route is constrained by line transmission maximum size；
1-2-2-3) the generator power constraint of grid nodes Spot Price Model are as follows:
Pi G,minFor unit minimum active power output, Pi G,maxFor unit maximum active power output；Generator power constraint representation hair
Constraint of the output power of motor by output power bound；
1-2-3) grid nodes Spot Price Model is solved, calculate node marginal generating cost ρk,t；
The node electricity price model is solved by constructing Lagrangian, wherein the Lagrange multiplier of constraint formula (2) is fixed
Justice is λk,t, constraint formula (3) Lagrange multiplier be defined asThe Lagrange multiplier of constraint formula (4) is defined asThen
T period node marginal generating cost ρ on k nodek,tCalculation expression is as follows
Node specific load power construction cost 1-3) is acquired based on power flow tracing method
For node k, there is node power equilibrium equation:
Wherein, PkFor the total injecting power of node,For node load power, (k :) it is using node k as the line of upstream node
Road set, FjFor the trend of route j, it is calculated by optimal load flow model；
Formula (7) are converted are as follows:
Formula (8) is converted into Vector-Matrix Form, obtains power flow tracing equation are as follows:
AdP=PL (9)
Wherein, P is that node flows into vector power, PLFor node load vector power, matrix AdFor power flow tracing matrix, claim
Make fair current tracing matrix, reflects the fair current distribution condition of trend, AdIn the n-th column element of m row are as follows:
Wherein, F(m,n)Indicate that two end nodes are m, the Line Flow of n, m is to flow into node in route (m, n), and n is outflow section
Point, PnFor total circulation power of node n, work as AdCan the inverse time, node injecting power vectorWherein m-th of list of elements
It is shown as:
For route m, trend on n has formula:
Total construction cost that load bus k should bear is obtained by formula (12) are as follows:
The then node specific load power construction cost that load bus k should bearAre as follows:
Wherein,For total construction cost that load bus k should bear,For node load power,It is the total of route j
Construction cost, PmFor total circulation power of node k, rj.tThe construction cost rate of recovery, A are permitted for transmission line of electricitydFor power flow tracing square
Battle array,For the construction cost of route j.
1-4) it is based on postage stamp method calculate node specific load power O&M cost
The O&M cost of power grid whole year isThe whole network hour O&M cost is divided to obtain by the hour are as follows:
The then O&M cost that load bus k should bear in period t are as follows:
The node specific load power O&M cost that load bus k should bear can be obtainedAre as follows:
In step s 102, node marginal generating cost, node specific load power construction cost and node unit are born
Lotus power O&M cost linear, additive generates the full cost electricity price of power grid.
In the previous step, node marginal generating cost, node specific load power construction cost and section have been found out
Point specific load power O&M cost, three SYSTEM OF LINEAR VECTORs are added.
1-5) the calculating of Quan Chengben electricity price
For load bus k, full cost electricity price are as follows:
In step s 103, Electric Power Network Planning evaluation index system is established according to the full cost electricity price of power grid.
Electric Power Network Planning evaluation index system is established according to the full cost electricity price of power grid, as shown in Fig. 2, Electric Power Network Planning evaluation index
System includes: safety index and economic indicator.
Wherein, safety index includes the rate of load condensate of each programme each route under ground state and N-1 state, calculation method
Are as follows: each route is in the effective power flow of ground state or N-1 state divided by the active transmission capacity of route.
Economic indicator includes that the newly-built corresponding route of each programme or improvement cost and each programme are negative in prediction
Power selling income predicted value under lotus level.Wherein, power selling income predicted value is the full cost electricity price and prediction load value of each scheme
Product.
In step S104, multiple power network line programmes are assessed according to Electric Power Network Planning evaluation index system,
And preferably go out optimal power network planning scheme.
Further, in one embodiment of the invention, according to Electric Power Network Planning evaluation index system to multiple grid lines
Circuit planning scheme is assessed, and preferably goes out optimal power network planning scheme, further comprises:
The prediction case that the topological structure and physical parameter and future load for obtaining power grid increase, it is raw by presetting method
At multiple power network line programmes；
According to Electric Power Network Planning evaluation index system to the safety of multiple power network line programmes and economy successively into
Row assessment, preferably optimal power network planning scheme out.
Specifically, as shown in figure 3, after Electric Power Network Planning evaluation system has been determined, according to commenting for Electric Power Network Planning evaluation system
Estimate index and removes assessment and preferred power network planning scheme.
Firstly, being used according to the prediction case that the topological structure of existing power grid and physical parameter and future load increase
Empirical method or optimization method form a plurality of power network line programme, when being related to the planning of a plurality of route, are contemplated that rule
Assembled scheme between scribing line road.
Secondly, different power network line programmes is directed to, using the evaluation index system based on full cost electricity price to it
Safety and economy are successively assessed.When assessing safety, using route peak load rate as key index, route is maximum
Rate of load condensate is considered as less than 100% meets safety requirements；When assessing economy, cost and corresponding sale of electricity needed for calculating each scheme
Economy quantitative evaluation index is used as using " income/cost " on the basis of income.
Finally, selecting revenue and cost than highest scheme as preferred plan under the premise of guaranteeing safety.
The power network planning scheme based on full cost electricity price proposed according to embodiments of the present invention is assessed and preferred method, passes through
On the basis of conventional node Price Mechanisms, realized by power flow tracing method and postage stamp method to power grid construction cost and O&M cost
Share, formed reflection power supply cost spatio-temporal difference full cost electricity price.Based on power grid N-1 state trend and full cost electricity price
Calculating and compare, realize the quantitative evaluation and preferably of power network planning scheme safety and economy.It being capable of overall merit power grid
The safety and economy of programme, the lean for being conducive to be promoted Electric Power Network Planning is horizontal, can change for grid company in new electricity
Investment planning under background provides quantitative analysis method and aid decision tool.
The power network planning scheme based on full cost electricity price proposed according to embodiments of the present invention referring next to attached drawing description is commented
Estimate and optimum decision system.
Fig. 4 assesses for the power network planning scheme based on full cost electricity price according to one embodiment of the invention and optimum decision system
Structural schematic diagram.
As shown in figure 4, the power network planning scheme assessment with optimum decision system 10 include: obtain module 100, generation module 200,
Establish module 300 and assessment preferred module 400.
Wherein, module 100 is obtained for obtaining electrical network basic data, is generated electricity according to electrical network basic data calculate node limit
Cost, node specific load power construction cost and node specific load power O&M cost.
Generation module 200 is used for node marginal generating cost, node specific load power construction cost and node unit
Load power O&M cost linear, additive generates the full cost electricity price of power grid.
Module 300 is established for establishing Electric Power Network Planning evaluation index system according to the full cost electricity price of power grid.
Assessment preferred module 400 is for carrying out multiple power network line programmes according to Electric Power Network Planning evaluation index system
Assessment, and preferably go out optimal power network planning scheme.
The safety and economy of overall merit power network planning scheme are capable of in power network planning scheme assessment with optimum decision system 10
Property, the lean for being conducive to be promoted Electric Power Network Planning is horizontal, can change the investment planning amount of offer under background in new electricity for grid company
Change analysis method and aid decision tool.
Further, in one embodiment of the invention, it is based on direct current optimal power flow calculate node marginal generating cost
ρk,t, step are as follows:
Step 1) constructs the objective function of grid nodes Spot Price Model, expression formula are as follows:
The objective function indicates that day part fired power generating unit cost of electricity-generating is overall minimum, whereinFor controllable continuous change
Amount,For the unit power cost of electricity-generating of unit, ΩGIt is the set of all units；
Step 2) determines the constraint condition of grid nodes Spot Price Model,
Step 2-1), the general power Constraints of Equilibrium of grid nodes Spot Price Model are as follows:
Wherein, ΩLDIt is the set of all load bus,For the burden with power of load bus, general power Constraints of Equilibrium
Indicate entire power grid output power and load Real-time Balancing；
Step 2-2), the line power constraint of grid nodes Spot Price Model are as follows:
Wherein, ΩULNIt is the set of all routes, GSDFj-iIt represents unit i and distribution factor is shifted to the power generation of route j,For route j transmission maximum active power,For the burden with power of load bus, line power constraint representation every
The transimission power of route is constrained by line transmission maximum size；
Step 2-3), the generator power constraint of grid nodes Spot Price Model are as follows:
Pi G,minFor unit minimum active power output, Pi G,maxFor unit maximum active power output, generator power constraint representation hair
Constraint of the output power of motor by output power bound；
Step 3) solves grid nodes Spot Price Model, calculate node marginal generating cost ρk,t,
Grid nodes Spot Price Model is solved by construction Lagrangian, wherein the Lagrange multiplier of constraint formula (2)
It is defined as λk,t, constraint formula (3) Lagrange multiplier be defined asThe Lagrange multiplier of constraint formula (4) is defined asThen
T period node marginal generating cost ρ on k-th of nodek,tCalculation expression are as follows:
Further, in one embodiment of the invention, preferred module is assessed, is also used to,
The prediction case that the topological structure and physical parameter and future load for obtaining power grid increase, it is raw by presetting method
At multiple power network line programmes；
According to Electric Power Network Planning evaluation index system to the safety of multiple power network line programmes and economy successively into
Row assessment, preferably optimal power network planning scheme out.
It should be noted that aforementioned to power network planning scheme assessment and preferred method embodiment based on full cost electricity price
The system for being also applied for the embodiment is illustrated, details are not described herein again.
The power network planning scheme based on full cost electricity price proposed according to embodiments of the present invention is assessed and optimum decision system, passes through
On the basis of conventional node Price Mechanisms, realized by power flow tracing method and postage stamp method to power grid construction cost and O&M cost
Share, formed reflection power supply cost spatio-temporal difference full cost electricity price.Based on power grid N-1 state trend and full cost electricity price
Calculating and compare, realize the quantitative evaluation and preferably of power network planning scheme safety and economy.It being capable of overall merit power grid
The safety and economy of programme, the lean for being conducive to be promoted Electric Power Network Planning is horizontal, can change for grid company in new electricity
Investment planning under background provides quantitative analysis method and aid decision tool.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present invention, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (10)
1. a kind of power network planning scheme assessment and preferred method based on full cost electricity price, which comprises the following steps:
Electrical network basic data is obtained, according to the electrical network basic data calculate node marginal generating cost, node specific load function
Rate construction cost and node specific load power O&M cost；
By the node marginal generating cost, the node specific load power construction cost and the node specific load power
O&M cost linear, additive generates the full cost electricity price of power grid；
Electric Power Network Planning evaluation index system is established according to the full cost electricity price of the power grid；
Multiple power network line programmes are assessed according to the Electric Power Network Planning evaluation index system, and preferably optimal out
Power network planning scheme.
2. the method according to claim 1, wherein calculating the node limit power generation based on direct current optimal power flow
Cost ρk,t, step are as follows:
Step 1) constructs the objective function of grid nodes Spot Price Model, expression formula are as follows:
The objective function indicates that day part fired power generating unit cost of electricity-generating is overall minimum, whereinFor controllable continuous variable,
For the unit power cost of electricity-generating of unit, ΩGIt is the set of all units；
Step 2) determines the constraint condition of the grid nodes Spot Price Model,
Step 2-1), the general power Constraints of Equilibrium of the grid nodes Spot Price Model are as follows:
Wherein, ΩLDIt is the set of all load bus,For the burden with power of load bus, the general power Constraints of Equilibrium
Indicate entire power grid output power and load Real-time Balancing；
Step 2-2), the line power constraint of the grid nodes Spot Price Model are as follows:
Wherein, ΩULNIt is the set of all routes, GSDFj-iIt represents unit i and distribution factor is shifted to the power generation of route j,
For route j transmission maximum active power,For the burden with power of load bus, described every line of line power constraint representation
The transimission power on road is constrained by line transmission maximum size；
Step 2-3), the generator power constraint of the grid nodes Spot Price Model are as follows:
Pi G,minFor unit minimum active power output, Pi G,maxFor unit maximum active power output, the generator power constraint representation hair
Constraint of the output power of motor by output power bound；
Step 3) solves the grid nodes Spot Price Model, calculates the node marginal generating cost ρk,t,
The grid nodes Spot Price Model is solved by construction Lagrangian, wherein the Lagrange multiplier of constraint formula (2)
It is defined as λk,t, constraint formula (3) Lagrange multiplier be defined asThe Lagrange multiplier of constraint formula (4) is defined asThen
T period node marginal generating cost ρ on k-th of nodek,tCalculation expression are as follows:
3. according to the method described in claim 2, it is characterized in that, calculating the node specific load function based on power flow tracing method
Rate construction costStep are as follows:
The node power equilibrium equation of node k are as follows:
Wherein, PkFor the total injecting power of node,For node load power, (k :) it is using node k as the sets of lines of upstream node
It closes, FjFor the trend of route j, it is calculated by optimal load flow model；
Formula (7) are converted are as follows:
Formula (8) is converted into Vector-Matrix Form, obtains power flow tracing equation are as follows:
AdP=PL (9)
Wherein, P is that node flows into vector power, PLFor node load vector power, AdFor power flow tracing matrix, reflect trend
Fair current distribution condition, AdIn the n-th column element of m row are as follows:
Wherein, F(m,n)Indicating that two end nodes are m, the Line Flow of n, m is to flow into node in route (m, n), and n is outflow node,
PnFor total circulation power of node n, work as AdCan the inverse time, node injecting power vectorWherein m-th of element representation are as follows:
For route m, trend on n has formula:
Total construction cost that load bus k should bear is obtained by formula (12) are as follows:
The then node specific load power construction cost that load bus k should bearAre as follows:
Wherein,For total construction cost that load bus k should bear,For node load power,It is total construction of route j
Cost, PmFor total circulation power of node k, rj.tThe construction cost rate of recovery, A are permitted for transmission line of electricitydFor power flow tracing matrix,For the construction cost of route j.
4. according to the method described in claim 3, it is characterized in that, calculating the node specific load power fortune based on postage stamp method
Tie up costAre as follows:
The O&M cost of power grid whole year isThe whole network hour O&M cost is divided to obtain by the hour are as follows:
The then O&M cost that load bus k should bear in period t are as follows:
The node specific load power O&M cost that load bus k should bear can be obtainedAre as follows:
5. according to the method described in claim 4, it is characterized in that,
For load bus k, the full cost electricity price of power grid are as follows:
6. the method according to claim 1, wherein the Electric Power Network Planning evaluation index system includes: to refer to safely
Mark and economic indicator, it is described that Electric Power Network Planning evaluation index system is established according to the full cost electricity price of the power grid, comprising:
The safety index includes the rate of load condensate of each power network line programme each route under ground state and N-1 state, is calculated
Method are as follows: each route is in the effective power flow of ground state or N-1 state divided by the active transmission capacity of route；
The economic indicator includes that the corresponding route of each power network line programme is newly-built or improvement cost, and each planning side
Power selling income predicted value of the case in the case where predicting load level；Wherein, power selling income predicted value be each scheme full cost electricity price with
Predict the product of load value.
7. the method according to claim 1, wherein it is described according to the Electric Power Network Planning evaluation index system to more
A power network line programme is assessed, and preferably goes out optimal power network planning scheme, further comprises:
The prediction case that the topological structure and physical parameter and future load for obtaining power grid increase, generates institute by presetting method
State multiple power network line programmes；
According to the Electric Power Network Planning evaluation index system to the safety of the multiple power network line programme and economy according to
It is secondary to be assessed, the preferred optimal power network planning scheme out.
8. a kind of power network planning scheme assessment and optimum decision system based on full cost electricity price characterized by comprising
Module is obtained, for obtaining electrical network basic data, according to the electrical network basic data calculate node marginal generating cost, section
Point specific load power construction cost and node specific load power O&M cost；
Generation module is used for the node marginal generating cost, the node specific load power construction cost and the section
Point specific load power O&M cost linear, additive generates the full cost electricity price of power grid；
Module is established, for establishing Electric Power Network Planning evaluation index system according to the full cost electricity price of the power grid；
Preferred module is assessed, for commenting according to the Electric Power Network Planning evaluation index system multiple power network line programmes
Estimate, and preferably goes out optimal power network planning scheme.
9. system according to claim 8, which is characterized in that calculate the node limit power generation based on direct current optimal power flow
Cost ρk,t, step are as follows:
Step 1) constructs the objective function of grid nodes Spot Price Model, expression formula are as follows:
The objective function indicates that day part fired power generating unit cost of electricity-generating is overall minimum, whereinFor controllable continuous variable,
For the unit power cost of electricity-generating of unit, ΩGIt is the set of all units；
Step 2) determines the constraint condition of the grid nodes Spot Price Model,
Step 2-1), the general power Constraints of Equilibrium of the grid nodes Spot Price Model are as follows:
Wherein, ΩLDIt is the set of all load bus,For the burden with power of load bus, the general power Constraints of Equilibrium table
Show entire power grid output power and load Real-time Balancing；
Step 2-2), the line power constraint of the grid nodes Spot Price Model are as follows:
Wherein, ΩULNIt is the set of all routes, GSDFj-iIt represents unit i and distribution factor is shifted to the power generation of route j,
For route j transmission maximum active power,For the burden with power of load bus, described every line of line power constraint representation
The transimission power on road is constrained by line transmission maximum size；
Step 2-3), the generator power constraint of the grid nodes Spot Price Model are as follows:
Pi G,minFor unit minimum active power output, Pi G,maxFor unit maximum active power output, the generator power constraint representation hair
Constraint of the output power of motor by output power bound；
Step 3) solves the grid nodes Spot Price Model, calculates the node marginal generating cost ρk,t,
The grid nodes Spot Price Model is solved by construction Lagrangian, wherein the Lagrange multiplier of constraint formula (2)
It is defined as λk,t, constraint formula (3) Lagrange multiplier be defined asThe Lagrange multiplier of constraint formula (4) is defined asThen
T period node marginal generating cost ρ on k-th of nodek,tCalculation expression are as follows:
10. system according to claim 8, which is characterized in that the assessment preferred module is also used to,
The prediction case that the topological structure and physical parameter and future load for obtaining power grid increase, generates institute by presetting method
State multiple power network line programmes；
According to the Electric Power Network Planning evaluation index system to the safety of the multiple power network line programme and economy according to
It is secondary to be assessed, the preferred optimal power network planning scheme out.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910304827.4A CN110070221A (en) | 2019-04-16 | 2019-04-16 | Power network planning scheme assessment and preferred method and system based on full cost electricity price |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910304827.4A CN110070221A (en) | 2019-04-16 | 2019-04-16 | Power network planning scheme assessment and preferred method and system based on full cost electricity price |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110070221A true CN110070221A (en) | 2019-07-30 |
Family
ID=67367848
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910304827.4A Pending CN110070221A (en) | 2019-04-16 | 2019-04-16 | Power network planning scheme assessment and preferred method and system based on full cost electricity price |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110070221A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570026A (en) * | 2019-08-21 | 2019-12-13 | 国网江苏省电力有限公司经济技术研究院 | construction planning method for power grid system, computer device and storage medium |
| CN110808582A (en) * | 2019-10-28 | 2020-02-18 | 南方电网能源发展研究院有限责任公司 | Power transmission and distribution price verification method and device based on maximum power supply capacity of power grid |
| CN111143965A (en) * | 2019-11-21 | 2020-05-12 | 中国电力科学研究院有限公司 | Method and system for determining power generation power control value based on full-cost price |
| CN111415041A (en) * | 2020-03-20 | 2020-07-14 | 海南电网有限责任公司 | Method for evaluating economy of power grid planning scheme |
| CN111967895A (en) * | 2020-07-27 | 2020-11-20 | 华南理工大学 | Method for formulating power generation plan release scheme based on multi-objective and MPEC (Multi-project control System) planning |
| CN113205259A (en) * | 2021-05-07 | 2021-08-03 | 国网河北省电力有限公司电力科学研究院 | Power grid scheduling decision evaluation method and device and terminal equipment |
| CN113705874A (en) * | 2021-08-19 | 2021-11-26 | 国家电网有限公司 | New energy power grid evolution prediction method and device, computer equipment and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109102155A (en) * | 2018-07-09 | 2018-12-28 | 中国南方电网有限责任公司 | A kind of ultra-short term deploying node probability forecasting method and system |
-
2019
- 2019-04-16 CN CN201910304827.4A patent/CN110070221A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109102155A (en) * | 2018-07-09 | 2018-12-28 | 中国南方电网有限责任公司 | A kind of ultra-short term deploying node probability forecasting method and system |
Non-Patent Citations (5)
| Title |
|---|
| JIANXIAO WANG，ET AL: ""Economic Benefits of Integrating Solar-Powered"", 《IEEE TRANSACTIONS ON SUSTAINABLE ENERGY》 * |
| 朱天瞳 等: ""基于改进TOPSIS法和德尔菲-熵权综合权重法的电网规划方案综合决策方法"", 《电力系挽保护与控制》 * |
| 陈典 等: ""基于全成本电价的源-网-荷协同规划"", 《电网技术》 * |
| 陈典，等: ""基于全成本电价的安全约束经济调度"", 《中国电机工程学报》 * |
| 龚演平: ""电力市场中输电固定成本分配方法对比研究"", 《电力市场与改革》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110570026A (en) * | 2019-08-21 | 2019-12-13 | 国网江苏省电力有限公司经济技术研究院 | construction planning method for power grid system, computer device and storage medium |
| CN110808582A (en) * | 2019-10-28 | 2020-02-18 | 南方电网能源发展研究院有限责任公司 | Power transmission and distribution price verification method and device based on maximum power supply capacity of power grid |
| CN111143965A (en) * | 2019-11-21 | 2020-05-12 | 中国电力科学研究院有限公司 | Method and system for determining power generation power control value based on full-cost price |
| CN111415041A (en) * | 2020-03-20 | 2020-07-14 | 海南电网有限责任公司 | Method for evaluating economy of power grid planning scheme |
| CN111415041B (en) * | 2020-03-20 | 2024-01-05 | 海南电网有限责任公司 | Method for evaluating economy of power grid planning scheme |
| CN111967895A (en) * | 2020-07-27 | 2020-11-20 | 华南理工大学 | Method for formulating power generation plan release scheme based on multi-objective and MPEC (Multi-project control System) planning |
| CN111967895B (en) * | 2020-07-27 | 2024-05-28 | 华南理工大学 | Method for making power generation plan release scheme based on multi-objective and MPEC planning |
| CN113205259A (en) * | 2021-05-07 | 2021-08-03 | 国网河北省电力有限公司电力科学研究院 | Power grid scheduling decision evaluation method and device and terminal equipment |
| CN113705874A (en) * | 2021-08-19 | 2021-11-26 | 国家电网有限公司 | New energy power grid evolution prediction method and device, computer equipment and storage medium |
| CN113705874B (en) * | 2021-08-19 | 2024-03-15 | 国家电网有限公司 | New energy power grid evolution prediction method, device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110070221A (en) | Power network planning scheme assessment and preferred method and system based on full cost electricity price | |
| Long et al. | Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid | |
| Sahoo et al. | Multi-objective planning of electrical distribution systems incorporating sectionalizing switches and tie-lines using particle swarm optimization | |
| Baringo et al. | Risk-constrained multi-stage wind power investment | |
| Coignard et al. | Will electric vehicles drive distribution grid upgrades?: The case of California | |
| Feng et al. | Solution sensitivity-based scenario reduction for stochastic unit commitment | |
| US9424613B2 (en) | Method, system and apparatus for load shaving of a power grid and a tangible computer readable medium | |
| Zhang et al. | Planning for distributed wind generation under active management mode | |
| CN108122068A (en) | A kind of power distribution network risk-averse retailer method and system | |
| Florez et al. | Multi-objective transmission expansion planning considering multiple generation scenarios | |
| CN106897786A (en) | Deploying equipment is cut in a kind of shipbuilding | |
| CN111242702B (en) | Method for formulating power grid peak-valley time-of-use electricity price considering minimum system peak-valley difference | |
| CN107657380A (en) | Power distribution network power supply capacity evaluation method | |
| Moreira et al. | Large-scale network layout optimization for radial distribution networks by parallel computing: Implementation and numerical results | |
| Verma et al. | Greenfield distribution network expansion strategy with hierarchical GA and MCDEA under uncertainty | |
| Cebeci et al. | Transmission and substation expansion planning using mixed integer programming | |
| Wang et al. | Day-ahead allocation of operation reserve in composite power systems with large-scale centralized wind farms | |
| CN106296466A (en) | A kind of feeder system planing method based on reliability | |
| Uturbey et al. | Dynamic optimal power flow approach to account for consumer response in short term hydrothermal coordination studies | |
| Šemić et al. | Distributed generation allocation in low voltage distribution network using artificial neural network | |
| CN105224993A (en) | A kind of substation planning method optimized power distribution network and run | |
| CN107169597A (en) | A kind of distribution network planning method for considering construction cost, city benefits and the harmonious three dimensionality of power supply | |
| Javadi | Incidence matrix-based LMP calculation: algorithm and applications | |
| CN102708519A (en) | Optimized transformer substation site selection method based on free search algorithm | |
| Jenabi et al. | A Benders decomposition algorithm for a multi-area, multi-stage integrated resource planning in power systems |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190730 |
|
| RJ01 | Rejection of invention patent application after publication |