CN109102115A - A kind of reference power grid chance constrained programming method adapting to wind-powered electricity generation large-scale grid connection - Google Patents
A kind of reference power grid chance constrained programming method adapting to wind-powered electricity generation large-scale grid connection Download PDFInfo
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Abstract
The invention discloses a kind of reference power grid chance constrained programming methods for adapting to wind-powered electricity generation large-scale grid connection, the following steps are included: given status electric network data, planning time period internal loading predicted value, the grid power transmission element solution of the programme of wind power plant, power output horizontal distribution and Electric Power Network Planning candidate in the planning time period.Construct Optimized model, Optimized model includes the constraint condition ensured including wind-powered electricity generation receiving is horizontal to minimize in planning horizon the sum of power transmission network investment cost and operating cost as optimization aim；Constraint condition is converted into mixed integer linear programming model, Optimized model is solved using conventional mixed integer linear programming method, obtains final reference network optimization scheme.The present invention can be used for adaptability teaching of the status power grid in look-ahead time scale under large-scale wind power integration background, specify status power network development direction, be the important means realizing power grid and precisely investing.
Description
Technical field
The present invention relates to power planning technical field, especially a kind of reference power grid chance for adapting to wind-powered electricity generation large-scale grid connection
Constrain planing method.
Background technique
Environmental and resource issue, which becomes increasingly conspicuous, forces power grid to develop to environmentally protective direction.As the renewable of maturation the most
Energy utilization technology, the power generation of wind-power electricity generation large-scale grid connection, the intrinsic randomness of output power jeopardize operation of power networks peace increasingly
How Quan Xing, count and its stochastic behaviour to promote electric network security under stochastic uncertainty is that current electric grid develops the difficulty that faces
Topic.How power grid measures the adaptability that power network development balances source lotus under stochastic uncertainty as the transport vehicle between the lotus of source
And Electric Power Network Planning how to be made to adapt to the development of source lotus balance, a undoubtedly particularly significant problem, how to power network development
It is evaluated and is quantified to instruct Electric Power Network Planning to be of great significance.
A set of standard that objective evaluation can be carried out to status power grid or planning power grid is provided with reference to power grid, to realize electricity
Net Development Assessment provides important reference means.However the existing power grid method that refers to is all based on deterministic source lotus mode
It realizes, it is difficult to adapt to power network development adaptability teaching under wind-powered electricity generation large-scale grid connection background.
Summary of the invention
The object of the present invention is to provide a kind of reference power grid chance constrained programming method for adapting to wind-powered electricity generation large-scale grid connection, energy
Enough stochastic uncertainties for considering wind power output power, building are adapted to status power grid or planning grid adaptability assessment
Reference power grid Chance-Constrained Programming Model, diagnose electrical network weak link, specify power network development direction, realize that power grid is precisely thrown
Money.
To achieve the above object, the present invention adopts the following technical solutions:
A kind of reference power grid chance constrained programming method adapting to wind-powered electricity generation large-scale grid connection, comprising the following steps:
Optimized model is constructed, Optimized model is to minimize the sum of power transmission network investment cost and operating cost in planning horizon
Optimization aim, and include the constraint condition ensured including wind-powered electricity generation receiving level；
Constraint condition is converted into mixed integer linear programming model, using conventional mixed integer linear programming method to excellent
Change model to be solved, obtains final reference network optimization scheme.
Further, before the building Optimized model, further includes:
Given status electric network data, planning time period internal loading predicted value, the planning of wind power plant in the planning time period
The grid power transmission element solution of scheme, power output horizontal distribution and Electric Power Network Planning candidate.
Further, the optimization object function expression formula are as follows:
In formula, T is the look-ahead time window load period set divided；G is conventional power generation unit set；L is all defeated
Electric set of fingers；It is conventional power generation unit g in load period t active power of output；Cg() be conventional power generation unit g at
This function；ClFor the year investing unit's cost for the branch l that transmits electricity；KlFor the length for the branch l that transmits electricity；For status grid power transmission branch
Appearance of a street magnitude；RlThe transmission capacity of decision is waited for for transmission of electricity branch l,
Further, the constraint condition includes:
1) node active power balance constraint:
Wherein, N is node set；Indicate load period t load d active power predicted value；Indicate load period t wind
Electric field w active power of output；For the transmitting active power of load period t branch l, first and last node is respectively node n and section
Point m；S (n) and E (n) is respectively headed by node n, the transmission branch set of endpoint node；G (n), W (n) and D (n) difference table
Show conventional power generation unit set, wind power plant set and the load aggregation on node n；
2) generating set active power range constraint:
Wherein,WithRespectively generating set g active power bound,WithRespectively indicate generator
Group g load period t up-regulation, lower emergency duty；
3) expectation wind-powered electricity generation receives chance constraint:
Chance constraint formula (5) requires desired wind-powered electricity generation admission rate to meet confidence level 1- ε；
It is required that guaranteeing that wind-powered electricity generation is greater than β using total accounting；Then limit
Arbitrary period receives wind power to be less than its maximum power；
4) transmission of electricity branch transmission capacity constraint:
Wherein,Indicate the power transfer that load period t transmission of electricity branch l transimission power changes about node n injecting power
Distribution factor；
5) transmission of electricity branch transmission capacity setting range constraint:
Wherein,For the maximum allowable transmission capacity setting value of branch l of transmitting electricity；
6) generating set active power bound constrains in the case of N-1 forecast accident:
Wherein,Indicate output power of the conventional power generation unit g in load period t under forecast accident s；S indicates anticipation
Accident set；
7) branch transmission capacity of transmitting electricity in the case of N-1 forecast accident constraint:
Wherein,Indicate that load period t transmission of electricity branch l transimission power becomes about node n injecting power under forecast accident s
The power of change shifts distribution factor；
8) node power Constraints of Equilibrium in the case of N-1 forecast accident:
Further, described that constraint condition is converted into mixed integer linear programming model, it specifically includes:
By the Monte Carlo independent sample of Power Output for Wind Power Field stochastic uncertainty, formula (6) is converted to following mixed
Close integer programming constraint type:
In formula,M is sufficiently big normal number；Binary variable ziIndicate whether i-th of scene meets, when
zi=0, it indicatesAndAnd work as zi=1, above-mentioned constraint is relaxed,
It does not work；Constraint formula (14) indicates that ineligible constraint number is no more than α to be equal to original confidence interval constraint.
The effect provided in summary of the invention is only the effect of embodiment, rather than invents all whole effects, above-mentioned
A technical solution in technical solution have the following advantages that or the utility model has the advantages that
The invention discloses a kind of reference power grid chance constrained programming method for adapting to wind-powered electricity generation large-scale grid connection, the methods
It is contemplated that the stochastic uncertainty of wind power output power, building is adapted to status power grid or plans grid adaptability assessment
With reference to power grid Chance-Constrained Programming Model, electrical network weak link is diagnosed, specifies power network development direction, realizes that power grid is precisely invested.
The present invention can be used for adaptability teaching of the status power grid in look-ahead time scale under large-scale wind power integration background, specify status
Power network development direction is the important means realizing power grid and precisely investing；The present invention it can be considered that wind power output power it is random not
Certainty is used for power network planning scheme adaptability teaching, realizes the lean management of power network development profession.
Detailed description of the invention
Fig. 1 is the reference power grid chance constrained programming method flow diagram that the present invention adapts to wind-powered electricity generation large-scale grid connection.
Specific embodiment
In order to clarify the technical characteristics of the invention, below by specific embodiment, and its attached drawing is combined, to this hair
It is bright to be described in detail.Following disclosure provides many different embodiments or example is used to realize different knots of the invention
Structure.In order to simplify disclosure of the invention, hereinafter the component of specific examples and setting are described.In addition, the present invention can be with
Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated
Relationship between various embodiments and/or setting is discussed.It should be noted that illustrated component is not necessarily to scale in the accompanying drawings
It draws.Present invention omits the descriptions to known assemblies and treatment technology and process to avoid the present invention is unnecessarily limiting.
As shown in Figure 1, a kind of reference power grid chance constrained programming method for adapting to wind-powered electricity generation large-scale grid connection, including following step
It is rapid:
S1, given status electric network data, planning time period internal loading predicted value, the rule of wind power plant in the planning time period
The grid power transmission element solution of the scheme of drawing, power output horizontal distribution and Electric Power Network Planning candidate.
S2, building Optimized model, Optimized model with minimize in planning horizon power transmission network investment cost and operating cost it
With for optimization aim, and include the constraint condition ensured including wind-powered electricity generation receiving is horizontal.
S3, constraint condition is converted to mixed integer linear programming model, using conventional mixed integer linear programming method
Optimized model is solved, final reference network optimization scheme is obtained.
In step S2, optimization object function expression formula are as follows:
In formula, T is the look-ahead time window load period set divided；G is conventional power generation unit set；L is all defeated
Electric set of fingers；It is conventional power generation unit g in load period t active power of output；Cg() be conventional power generation unit g at
This function；ClFor the year investing unit's cost for the branch l that transmits electricity；KlFor the length for the branch l that transmits electricity；For status grid power transmission branch
Appearance of a street magnitude；RlThe transmission capacity of decision is waited for for transmission of electricity branch l,
Constraint condition in step S2 includes:
1) node active power balance constraint
Wherein, N is node set；Indicate load period t load d active power predicted value；Indicate load period t wind
Electric field w active power of output；For the transmitting active power of load period t branch l, first and last node is respectively node n and section
Point m；S (n) and E (n) is respectively headed by node n, the transmission branch set of endpoint node；G (n), W (n) and D (n) difference table
Show conventional power generation unit set, wind power plant set and the load aggregation on node n.
2) generating set active power range constraint
Wherein,WithRespectively generating set g active power bound.WithRespectively indicate generator
Group g load period t up-regulation, lower emergency duty.
3) expectation wind-powered electricity generation receives chance constraint
Chance constraint formula (20) requires desired wind-powered electricity generation admission rate to meet confidence level 1- ε.It wants
It asks and guarantees that wind-powered electricity generation is greater than β using total accounting；Then limiting arbitrary period receives wind power to be less than it
Maximum power.
4) transmission of electricity branch transmission capacity constraint
Wherein,Indicate the power transfer that load period t transmission of electricity branch l transimission power changes about node n injecting power
Distribution factor.
5) transmission of electricity branch transmission capacity setting range constraint
Wherein,For the maximum allowable transmission capacity setting value of branch l of transmitting electricity.
6) generating set active power bound constrains in the case of N-1 forecast accident:
Wherein,Indicate output power of the conventional power generation unit g in load period t under forecast accident s；S indicates pre-
Think accident set.
7) branch transmission capacity of transmitting electricity in the case of N-1 forecast accident constraint:
Wherein,Indicate that load period t transmission of electricity branch l transimission power becomes about node n injecting power under forecast accident s
The power of change shifts distribution factor.
8) node power Constraints of Equilibrium in the case of N-1 forecast accident:
Constraint condition is converted into mixed integer linear programming model in step S3, is specifically included: being exported by wind power plant
Formula (21) is converted to following mixed integer programming constraint type by the Monte Carlo independent sample of power stochastic uncertainty:
In formula,M is sufficiently big normal number；Binary variable ziIndicate whether i-th of scene meets, when
zi=0, it indicatesAndAnd work as zi=1, above-mentioned constraint is relaxed,
It does not work.Constraint formula (29) indicates that ineligible constraint number is no more than α to be equal to original confidence interval constraint.
Thus optimization problem can be converted to the mixed integer programming problem solving for being easy to solve.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (5)
1. a kind of reference power grid chance constrained programming method for adapting to wind-powered electricity generation large-scale grid connection, characterized in that the following steps are included:
Optimized model is constructed, Optimized model is optimization to minimize the sum of power transmission network investment cost and operating cost in planning horizon
Target, and include the constraint condition ensured including wind-powered electricity generation receiving level；
Constraint condition is converted into mixed integer linear programming model, using conventional mixed integer linear programming method to optimization mould
Type is solved, and final reference network optimization scheme is obtained.
2. the method as described in claim 1, characterized in that before the building Optimized model, further includes:
Given status electric network data, planning time period internal loading predicted value, the programme of wind power plant in the planning time period,
Horizontal distribution of contributing and the grid power transmission element solution of Electric Power Network Planning candidate.
3. method according to claim 2, characterized in that the optimization object function expression formula are as follows:
In formula, T is the look-ahead time window load period set divided；G is conventional power generation unit set；L is all transmissions of electricity branch
Road set；It is conventional power generation unit g in load period t active power of output；Cg() is the cost letter of conventional power generation unit g
Number；ClFor the year investing unit's cost for the branch l that transmits electricity；KlFor the length for the branch l that transmits electricity；For status grid power transmission Zhi Lurong
Magnitude；RlThe transmission capacity of decision is waited for for transmission of electricity branch l,
4. method according to claim 2, characterized in that the constraint condition includes:
1) node active power balance constraint:
Wherein, N is node set；Indicate load period t load d active power predicted value；Indicate load period t wind power plant
W active power of output；For the transmitting active power of load period t branch l, first and last node is respectively node n and node m；
S (n) and E (n) is respectively headed by node n, the transmission branch set of endpoint node；G (n), W (n) and D (n) respectively indicate section
Conventional power generation unit set, wind power plant set and load aggregation on point n；
2) generating set active power range constraint:
Wherein,WithRespectively generating set g active power bound,WithRespectively indicate generating set g
Up-regulation, downward emergency duty in load period t；
3) expectation wind-powered electricity generation receives chance constraint:
Chance constraint formula (5) requires desired wind-powered electricity generation admission rate to meet confidence level 1- ε；
It is required that guaranteeing that wind-powered electricity generation is greater than β using total accounting；It then limits and appoints
Period receiving wind power of anticipating is less than its maximum power；
4) transmission of electricity branch transmission capacity constraint:
Wherein,Indicate the power transfer distribution that load period t transmission of electricity branch l transimission power changes about node n injecting power
The factor；
5) transmission of electricity branch transmission capacity setting range constraint:
Wherein,For the maximum allowable transmission capacity setting value of branch l of transmitting electricity；
6) generating set active power bound constrains in the case of N-1 forecast accident:
Wherein,Indicate output power of the conventional power generation unit g in load period t under forecast accident s；
S indicates forecast accident set；
7) branch transmission capacity of transmitting electricity in the case of N-1 forecast accident constraint:
Wherein,Indicate that load period t transmits electricity what branch l transimission power changed about node n injecting power under forecast accident s
Power shifts distribution factor；
8) node power Constraints of Equilibrium in the case of N-1 forecast accident:
5. method as claimed in claim 4, characterized in that described that constraint condition is converted to mixed integer linear programming mould
Type specifically includes:
By the Monte Carlo independent sample of Power Output for Wind Power Field stochastic uncertainty, it is whole that formula (6) is converted into following mixing
Number plan constraint form:
In formula,M is sufficiently big normal number；Binary variable ziIt indicates whether i-th of scene meets, works as zi=
0, it indicatesAndAnd work as zi=1, above-mentioned constraint is relaxed, and is not risen
Effect；Constraint formula (14) indicates that ineligible constraint number is no more than α to be equal to original confidence interval constraint.
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| CN112072710A (en) * | 2020-07-31 | 2020-12-11 | 国网山东省电力公司经济技术研究院 | Source network load integrated economic dispatching method and system considering demand response |
| CN111799793A (en) * | 2020-07-31 | 2020-10-20 | 国网山东省电力公司经济技术研究院 | Source-grid-load cooperative power transmission network planning method and system |
| CN111799842B (en) * | 2020-07-31 | 2023-11-10 | 国网山东省电力公司经济技术研究院 | Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit |
| CN111799841B (en) * | 2020-07-31 | 2023-11-28 | 国网山东省电力公司经济技术研究院 | Combined decision method and system for thermal power generating unit flexibility transformation and power transmission planning |
| CN112670978A (en) * | 2020-12-14 | 2021-04-16 | 贵州万峰电力股份有限公司 | Power grid operation optimization method and system |
| CN112670978B (en) * | 2020-12-14 | 2023-11-21 | 贵州万峰电力股份有限公司 | Power grid operation optimization method and system |
| CN113408794A (en) * | 2021-06-02 | 2021-09-17 | 国网河北省电力有限公司高邑县供电分公司 | Power grid planning method for collaborative new energy development |
| CN114006410A (en) * | 2021-07-21 | 2022-02-01 | 上海电力大学 | Large-scale offshore wind power access point optimization method based on opportunity constraint planning |
| CN114006410B (en) * | 2021-07-21 | 2024-03-29 | 上海电力大学 | Large-scale offshore wind power access point optimization method based on opportunity constraint planning |
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