CN105406467B - A kind of generation of electricity by new energy mixing scene clustering method - Google Patents
A kind of generation of electricity by new energy mixing scene clustering method Download PDFInfo
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- CN105406467B CN105406467B CN201510921210.9A CN201510921210A CN105406467B CN 105406467 B CN105406467 B CN 105406467B CN 201510921210 A CN201510921210 A CN 201510921210A CN 105406467 B CN105406467 B CN 105406467B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H02J3/382—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The present invention relates to a kind of generations of electricity by new energy to mix scene clustering method, comprising: obtains generation of electricity by new energy power output timing sample and load timing sample in electric system；Determine the net load of electric system after deducting generation of electricity by new energy power output；Determine the corresponding electric system flexible modulation demand of the net load；Determine the correlation between electric system flexible modulation demand；According to the correlation between the electric system flexible modulation demand, the cluster hierarchical relationship between electric system flexible modulation demand is obtained；Method provided by the invention utilizes the timing sample data of generation of electricity by new energy and load, consider that generation of electricity by new energy accesses the influence to electric system flexible modulation amount demand simultaneously, establish corresponding flexible modulation requirement quantization index, and the otherness that multiple generation of electricity by new energy power outputs mix with load scene is measured according to the index, the clustering for mixing scene with load for generation of electricity by new energy power output provides foundation.
Description
Technical field
The present invention relates to generation of electricity by new energy specificity analysis fields, and in particular to a kind of generation of electricity by new energy mixing scene clustering point
Analysis method.
Background technique
The intermittence and randomness of generation of electricity by new energy power output are the key that influence electric power system optimization planning and economical operation
Factor.The typical scene for selecting and determining generation of electricity by new energy from a large amount of historical sample data, not only facilitates reduction and calculates
Amount improves computational efficiency, is more conducive to formulate scientific and reasonable electric power system optimization planning and Plan for Economical Operation or plan.Newly
The intermittence of energy generated output and influence of the randomness to electric system, are mainly reflected in its pondage and energy to system
Power, i.e., in the flexible modulation demand of system.Therefore, the determination of generation of electricity by new energy power output typical scene, it is right after it is accessed to consider
The influence of system flexibility establishes corresponding Quantization Index System, and is based on the quantizating index, carries out the screening of scene and divides
Class.
Summary of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of generation of electricity by new energy mixing scene clustering method, utilizes
The timing sample data of generation of electricity by new energy and load, while considering generation of electricity by new energy access to electric system flexible modulation amount demand
Influence, establish corresponding flexible modulation requirement quantization index, and multiple generations of electricity by new energy power outputs and negative are measured according to the index
Lotus mixes the otherness of scene, and the clustering for mixing scene with load for generation of electricity by new energy power output provides foundation.
The purpose of the present invention is adopt the following technical solutions realization:
A kind of generation of electricity by new energy mixing scene clustering method, it is improved in that the described method includes:
(1) generation of electricity by new energy power output timing sample and load timing sample in electric system are obtained；
(2) net load of electric system after deducting generation of electricity by new energy power output is determined；
(3) the corresponding electric system flexible modulation demand of the net load is determined；
(4) correlation between electric system flexible modulation demand is determined；
(5) according to the correlation between the electric system flexible modulation demand, electric system flexible modulation demand is obtained
Between cluster hierarchical relationship.
Preferably, in the step (2), when determining the net load of i-th of electric system after deducting generation of electricity by new energy power output
Sequence vector L'i, formula are as follows:
In formula (1), LiFor i-th of load timing sample, X in electric systemiFor i-th of generation of electricity by new energy in electric system
Power output timing sample, li,jFor j-th of period corresponding load of i-th of load timing sample in electric system, xi,jFor electric power
J-th of period of i-th of generation of electricity by new energy power output timing sample corresponding generation of electricity by new energy power output, l ' in systemi,jIt is i-th
J-th of period corresponding net load in the net load timing column vector of electric system, i ∈ [1, m], m are respectively in electric system
Generation of electricity by new energy power output timing sample Xi, load timing sample LiWith net load timing column vector L'iTotal quantity, j ∈ [1, n], n
For period sum.
Preferably, in the step (3), the corresponding power train of net load timing column vector of i-th of electric system is determined
Unite flexible modulation demand column vector Fi, formula are as follows:
In formula (2), l 'i,jFor j-th of period corresponding net load in the net load timing column vector of i-th of electric system,
fi,jWhen for j-th in the corresponding electric system flexible modulation demand column vector of net load timing column vector of i-th of electric system
The corresponding electric system flexible modulation demand of section, i ∈ [1, m], m be respectively in electric system net load time series vector sum bear only
The total quantity of the corresponding electric system flexible modulation demand column vector of lotus timing column vector, j ∈ [1, n], n are period sum.
Preferably, in the step (4), i-th of electric system flexible modulation demand column vector and k-th of power train are determined
Correlation r between flexible modulation demand column vector of unitingik, formula are as follows:
In formula (3), fi,jIt is needed for the corresponding electric system flexible modulation of net load timing column vector of i-th of electric system
Ask j-th of period corresponding electric system flexible modulation demand, f in column vectork,jFor the net load timing of k-th of electric system
J-th of period corresponding electric system flexible modulation demand in the corresponding electric system flexible modulation demand column vector of column vector,
I, k ∈ [1, m] and i ≠ k, m are the total quantity of the corresponding electric system flexible modulation demand column vector of net load timing column vector.
Preferably, it in the step (5), is flexibly adjusted with the corresponding electric system of net load timing column vector of electric system
The sample number of section demand column vector is abscissa, is vertical sit with the correlation between electric system flexible modulation demand column vector
Mark establishes the visualization clustering tree between electric system flexible modulation demand.
Compared with the immediate prior art, the invention has the benefit that
A kind of generation of electricity by new energy provided by the invention mixes scene clustering method, considers generation of electricity by new energy power output interval
Property to the flexible modulation demand of system, generation of electricity by new energy power output is deducted on the basis of original loads and generates electric system net load
Curve calculates the system flexible modulation demand of each adjacent time interval, according to each timing sample pair on the basis of net load curve
The correlation and otherness between difference quantization various kinds sheet between the system flexible modulation demand answered, carries out on this basis
Clustering can be improved the reliability of the research and formulation of electric power system optimization planning or Plan for Economical Operation.
Detailed description of the invention
Fig. 1 is a kind of generation of electricity by new energy mixing scene clustering method flow chart provided by the invention；
Fig. 2 is the visualization clustering tree schematic diagram in the embodiment of the present invention between electric system flexible modulation demand.
Specific embodiment
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawing.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
All other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
The present invention provides a kind of generations of electricity by new energy to mix scene clustering method, as shown in Figure 1, the method packet
It includes:
(1) generation of electricity by new energy power output timing sample and load timing sample in electric system are obtained；
(2) net load of electric system after deducting generation of electricity by new energy power output is determined；
(3) the corresponding electric system flexible modulation demand of the net load is determined；
(4) correlation between electric system flexible modulation demand is determined；
(5) according to the correlation between the electric system flexible modulation demand, electric system flexible modulation demand is obtained
Between cluster hierarchical relationship.
Specifically, in the step (2), when determining the net load of i-th of electric system after deducting generation of electricity by new energy power output
Sequence vector L'i, formula are as follows:
In formula (1), LiFor i-th of load timing sample, X in electric systemiFor i-th of generation of electricity by new energy in electric system
Power output timing sample, li,jFor j-th of period corresponding load of i-th of load timing sample in electric system, xi,jFor electric power
J-th of period of i-th of generation of electricity by new energy power output timing sample corresponding generation of electricity by new energy power output, l ' in systemi,jIt is i-th
J-th of period corresponding net load in the net load timing column vector of electric system, i ∈ [1, m], m are respectively in electric system
Generation of electricity by new energy power output timing sample Xi, load timing sample LiWith net load timing column vector L'iTotal quantity, j ∈ [1, n], n
For period sum.
For example, the generation of electricity by new energy power output timing sample of sample number m=10 in electric system is obtained first, in each sample
The when number of segment n=96 of division, wherein generation of electricity by new energy is contributed the period being not zero in generation of electricity by new energy power output timing sample data
Data, as shown in table 1:
1 generation of electricity by new energy of table power output timing sample data table
The load timing sample of sample number m=10 in electric system is obtained, the when number of segment n=96 of division in each sample,
Wherein, in load timing sample data 0:00 to 12:00 data, as shown in table 2:
Load timing sample data table in 2 electric system of table
The net load time series vector data of electric system after deducting generation of electricity by new energy power output, sample are determined according to formula (1)
This number m=10, the when number of segment n=96 divided in each sample, wherein the net of electric system is born after deducting generation of electricity by new energy power output
The data of 0:00 to 12:00 in lotus time series vector data, as shown in table 3:
Table 3 deducts the net load time series vector data table of electric system after generation of electricity by new energy power output
In the step (3), determine that the corresponding electric system of net load timing column vector of i-th of electric system is flexibly adjusted
Section demand column vector Fi, formula are as follows:
In formula (2), l 'i,jFor j-th of period corresponding net load in the net load timing column vector of i-th of electric system,
fi,jWhen for j-th in the corresponding electric system flexible modulation demand column vector of net load timing column vector of i-th of electric system
The corresponding electric system flexible modulation demand of section, i ∈ [1, m], m be respectively in electric system net load time series vector sum bear only
The total quantity of the corresponding electric system flexible modulation demand column vector of lotus timing column vector, j ∈ [1, n], n are period sum.
For example, according to the net load time series vector data and public affairs that deduct electric system after generation of electricity by new energy is contributed in table 3
Formula (2) determines the corresponding electric system flexible modulation demand column vector of the net load timing column vector of electric system, sample number m=
10, the when number of segment n=96 divided in each sample, wherein the corresponding electric system of net load timing column vector of electric system
The data of 0:00 to 12:00 in flexible modulation demand column vector data, as shown in table 4:
The corresponding electric system flexible modulation demand column vector tables of data of the net load timing column vector of 4 electric system of table
In the step (4), determine that i-th of electric system flexible modulation demand column vector and k-th of electric system are flexible
Correlation r between regulatory demand column vectorik, formula are as follows:
In formula (3), fi,jIt is needed for the corresponding electric system flexible modulation of net load timing column vector of i-th of electric system
Ask j-th of period corresponding electric system flexible modulation demand, f in column vectork,jFor the net load timing of k-th of electric system
J-th of period corresponding electric system flexible modulation demand in the corresponding electric system flexible modulation demand column vector of column vector,
I, k ∈ [1, m] and i ≠ k, m are the total quantity of the corresponding electric system flexible modulation demand column vector of net load timing column vector.
For example, the corresponding electric system flexible modulation demand of net load timing column vector according to electric system in table 4 arranges
Vector data and formula (3), determine the correlation between electric system flexible modulation demand, as shown in table 5:
Correlation data table between 5 electric system flexible modulation demand of table
| S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | |
| S1 | 0.00 | 9.86 | 4.69 | 13.30 | 7.61 | 4.78 | 5.37 | 4.77 | 10.07 | 5.31 |
| S2 | 9.86 | 0.00 | 9.05 | 11.66 | 10.39 | 9.01 | 9.24 | 9.19 | 13.18 | 9.34 |
| S3 | 4.69 | 9.05 | 0.00 | 13.59 | 7.79 | 4.45 | 5.77 | 5.23 | 9.97 | 5.05 |
| S4 | 13.30 | 11.66 | 13.59 | 0.00 | 12.15 | 12.26 | 12.99 | 12.52 | 16.52 | 12.62 |
| S5 | 7.61 | 10.39 | 7.79 | 12.15 | 0.00 | 6.65 | 6.37 | 6.93 | 10.52 | 6.35 |
| S6 | 4.78 | 9.01 | 4.45 | 12.26 | 6.65 | 0.00 | 4.11 | 4.13 | 9.35 | 3.94 |
| S7 | 5.37 | 9.24 | 5.77 | 12.99 | 6.37 | 4.11 | 0.00 | 3.81 | 8.68 | 3.85 |
| S8 | 4.77 | 9.19 | 5.23 | 12.52 | 6.93 | 4.13 | 3.81 | 0.00 | 9.31 | 3.05 |
| S9 | 10.07 | 13.18 | 9.97 | 16.52 | 10.52 | 9.35 | 8.68 | 9.31 | 0.00 | 9.06 |
| S10 | 5.31 | 9.34 | 5.05 | 12.62 | 6.35 | 3.94 | 3.85 | 3.05 | 9.06 | 0.00 |
In the step (5), with the corresponding electric system flexible modulation demand of net load timing column vector of electric system
The sample number of column vector is abscissa, is established by ordinate of the correlation between electric system flexible modulation demand column vector
Visualization clustering tree between electric system flexible modulation demand.
Such as: as shown in Fig. 2, according to table 5, it is flexible with the corresponding electric system of net load timing column vector of electric system
The sample number of regulatory demand column vector is abscissa, is vertical with the correlation between electric system flexible modulation demand column vector
Coordinate establishes the visualization clustering tree between electric system flexible modulation demand.
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
Invention is explained in detail referring to above-described embodiment for pipe, it should be understood by those ordinary skilled in the art that: still
It can be with modifications or equivalent substitutions are made to specific embodiments of the invention, and without departing from any of spirit and scope of the invention
Modification or equivalent replacement, should all cover within the scope of the claims of the present invention.
Claims (2)
1. a kind of generation of electricity by new energy mixes scene clustering method, which is characterized in that the method includes the steps:
(1) generation of electricity by new energy power output timing sample and load timing sample in electric system are obtained；
(2) net load of electric system after deducting generation of electricity by new energy power output is determined；
(3) the corresponding electric system flexible modulation demand of the net load is determined；
(4) correlation between electric system flexible modulation demand is determined；
(5) it according to the correlation between the electric system flexible modulation demand, obtains between electric system flexible modulation demand
Cluster hierarchical relationship；
In the step (3), determine that the corresponding electric system flexible modulation of the net load timing column vector of i-th of electric system needs
Seek column vector Fi, formula are as follows:
In formula (2), l 'i,jFor j-th of period corresponding net load in the net load timing column vector of i-th of electric system, fi,j
For j-th of period in the corresponding electric system flexible modulation demand column vector of net load timing column vector of i-th of electric system
Corresponding electric system flexible modulation demand, i ∈ [1, m], m are respectively net load time series vector sum net load in electric system
The total quantity of the corresponding electric system flexible modulation demand column vector of timing column vector, j ∈ [1, n], n are period sum；
In the step (4), i-th of electric system flexible modulation demand column vector and k-th of electric system flexible modulation are determined
Correlation r between demand column vectorik, formula are as follows:
In formula (3), fi,jFor the corresponding electric system flexible modulation demand column of net load timing column vector of i-th of electric system
J-th of period corresponding electric system flexible modulation demand, f in vectork,jFor k-th of electric system net load time series to
Measure j-th of period corresponding electric system flexible modulation demand, i, k ∈ in corresponding electric system flexible modulation demand column vector
[1, m] and i ≠ k, m are the total quantity of the corresponding electric system flexible modulation demand column vector of net load timing column vector；
In the step (5), with the corresponding electric system flexible modulation demand of net load timing column vector of electric system arrange to
The sample number of amount is abscissa, establishes electric power as ordinate using the correlation between electric system flexible modulation demand column vector
Visualization clustering tree between system flexible modulation demand.
2. the method as described in claim 1, which is characterized in that in the step (2), determine after deducting generation of electricity by new energy power output
The net load timing column vector L' of i-th of electric systemi, formula are as follows:
In formula (1), LiFor i-th of load timing sample, X in electric systemiIt contributes for i-th of generation of electricity by new energy in electric system
Timing sample, li,jFor j-th of period corresponding load of i-th of load timing sample in electric system, xi,jFor electric system
In i-th of generation of electricity by new energy power output timing sample j-th of period corresponding generation of electricity by new energy power output, l 'i,jFor i-th of electric power
J-th of period corresponding net load in the net load timing column vector of system, i ∈ [1, m], m are respectively new energy in electric system
Source generated output timing sample Xi, load timing sample LiWith net load timing column vector L'iTotal quantity, j ∈ [1, n], when n is
Section sum.
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| 基于K-均值聚类多场景时序特性分析的分布式电源多目标规划;彭春华等;《电力自动化设备》;20151009;第35卷(第10期);58-65 |
| 基于Wasserstein距离和改进K-medoids聚类的风电/光伏经典场景集生成算法;王群等;《中国电机工程学报》;20150605;第35卷(第11期);2654-2661 |
| 间歇性分布式电源在主动配电网中的优化配置;张沈习等;《电力自动化设备》;20151102;第35卷(第11期);45-51 |
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