CN104022535B - A kind of trans-regional installed capacity of wind-driven power coordinated planning method - Google Patents

Abstract

A kind of trans-regional installed capacity of wind-driven power coordinated planning method.It comprises acquisition related data, structure computation model, calculates wind-powered electricity generation combination efficient frontier curve and determine the steps such as program results.The inventive method, based on the installed capacity of wind-driven power unite planning of portfolio theory by zones of different, efficiently reduces the fluctuation of wind-powered electricity generation gross capability, reduces the peak demand that system is total.Using each region installed capacity of wind-driven power under wind-powered electricity generation combined article prime factor maximum case as final optimization pass result, wind-powered electricity generation volume metering and wind-powered electricity generation fluctuation problem are taken into account to the full extent.On the other hand, the present invention is provided with the installed capacity of wind-driven power bound of regional, has taken into full account the situations such as the electric network composition of regional, load level, government policy, has made program results more closing to reality.

Description

A kind of trans-regional installed capacity of wind-driven power coordinated planning method

Technical field

The invention belongs to Electric Power Network Planning technical field, particularly relate to a kind of trans-regional installed capacity of wind-driven power coordinated planning method.

Background technology

The dynamics reduced discharging along with national energy-saving continues to increase, and the renewable energy power generations such as wind-powered electricity generation obtain fast development.China's forehand brews alcoholic beverages eight ten million multikilowatt wind power base such as spring, Hami, Meng Dong, Meng Xi, Hebei, Jilin, Jiangsu, Shandong.In addition, relevant department is formulating the planning of Heilungkiang and Shanxi ten million multikilowatt wind power base, and China ten million multikilowatt wind power base is increased to 10 by from current 8.Current wind-powered electricity generation planing method, is generally the wind-powered electricity generation planning carrying out some areas according to local wind power resources situation, lacks unified planning guidance method, do not carry out trans-regional wind-powered electricity generation planning from the angle that the overall situation is overall, there is blindness randomness.Trans-regional wind power output has certain complementarity on a large scale, by reasonably planning the installed capacity of wind-driven power scale of zones of different, can reduce the fluctuation of wind-powered electricity generation gross capability, reducing the peak demand that system is total, be conducive to the safe and stable operation of electric power system.

Summary of the invention

In order to solve the problem, the object of the present invention is to provide a kind of trans-regional installed capacity of wind-driven power coordinated planning method.

In order to achieve the above object, trans-regional installed capacity of wind-driven power coordinated planning method provided by the invention comprises the following step performed in order:

Step 1) obtain S1 stage of related data: the installed capacity of wind-driven power bound obtaining planning areal, the wind-powered electricity generation capacity factor measure in planning region, the wind-powered electricity generation standard deviation in planning region, the wind-powered electricity generation installation total capacity of planning, each region, the wind-powered electricity generation coefficient correlation between each region;

Step 2) S2 stage of structure computation model: build with in given wind-powered electricity generation bank capability because subcase leeward electricity combination standard difference is minimum for target function, be constrained to the computation model of constraints with the constraint of installed capacity of wind-driven power ratio, the constraint of wind-powered electricity generation capacity factor measure and installed capacity of wind-driven power;

Step 3) calculate S3 stage of wind-powered electricity generation combination efficient frontier curve: the installed capacity of wind-driven power bound in the wind-powered electricity generation capacity factor measure in the planning areal obtained by the S1 stage, planning region, the planning wind-powered electricity generation standard deviation in region, the wind-powered electricity generation total installation of generating capacity of planning and each region is substituted into the computation model built in the S2 stage, and by the wind-powered electricity generation bank capability factor in given zone in continuous value, repeatedly calculate the computation model built in the S2 stage, obtain one group of wind-powered electricity generation combination standard difference and corresponding each region installed capacity of wind-driven power, make wind-powered electricity generation combination efficient frontier curve;

Step 4) determine the program results S4 stage: utilize wind-powered electricity generation to combine efficient frontier curve and calculate wind-powered electricity generation combined article prime factor, and therefrom choose wind-powered electricity generation combined article prime factor maximum time each region installed capacity of wind-driven power as final program results.

In the S2 stage, the method for described structure computation model comprises the following steps:

S21: build optimization aim: with given wind-powered electricity generation bank capability because of subcase leeward electricity combination standard difference minimum for target function;

S22: build constraints, comprising: the constraint of installed capacity of wind-driven power ratio, the constraint of wind-powered electricity generation capacity factor measure and installed capacity of wind-driven power constraint.

In the S3 stage, described to refer between the given zone of the wind-powered electricity generation bank capability factor in given zone continuously in value in this interval, utilize method of Lagrange multipliers repeatedly to calculate the computation model of structure, one group of wind-powered electricity generation combination standard difference and corresponding each region installed capacity of wind-driven power can be obtained.

In the S4 stage, described wind-powered electricity generation combined article prime factor is defined as the ratio of the wind-powered electricity generation bank capability factor and wind-powered electricity generation combination standard difference; Wind-powered electricity generation capacity factor measure refers to that wind energy turbine set annual is exerted oneself and the ratio of specified installed capacity.

In the S21 stage, described target function is: wherein, σ _totalfor wind-powered electricity generation constitution's risk; N is planning areal; x _ifor the installed capacity of wind-driven power ratio of region i; σ _ifor the wind-powered electricity generation standard deviation of region i; ρ _ijfor the wind-powered electricity generation coefficient correlation of wind power base i and j.

In the S22 stage, described constraints comprises:

1) installed capacity of wind-driven power ratio constraint: $\left\{\begin{array}{c}\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{x}_i=1\\ x_i\≥0,i=\mathrm{1,2},\·\·\·,N\end{array}\right.,$ The installed capacity of wind-driven power ratio sum of all areas to be planned must be 1;

2) wind-powered electricity generation capacity factor measure constraint: wherein, E _ifor the wind-powered electricity generation capacity factor measure of region i; E _totalfor the wind-powered electricity generation bank capability factor;

3) installed capacity of wind-driven power constraint: $\left\{\begin{array}{c}{P}_i=x_i{P}_{\mathrm{total}}\\ P_{i\min }\≤P_i\≤P_{i\max }\end{array}\right.,$ Wherein, P _ifor the installed capacity of wind-driven power of the region i of planning; P _totalfor the wind-powered electricity generation total installation of generating capacity of planning; P _iminand P _imaxbe respectively the installed capacity of wind-driven power bound of region i.

Compared with prior art, the beneficial effect of trans-regional installed capacity of wind-driven power coordinated planning method provided by the invention is: the inventive method is based on the installed capacity of wind-driven power unite planning of portfolio theory by zones of different, efficiently reduce the fluctuation of wind-powered electricity generation gross capability, reduce the peak demand that system is total.Using each region installed capacity of wind-driven power under wind-powered electricity generation combined article prime factor maximum case as final optimization pass result, wind-powered electricity generation volume metering and wind-powered electricity generation fluctuation problem are taken into account to the full extent.On the other hand, the present invention is provided with the installed capacity of wind-driven power bound of regional, has taken into full account the situations such as the electric network composition of regional, load level, government policy, has made program results more closing to reality.

Accompanying drawing explanation

Fig. 1 is trans-regional installed capacity of wind-driven power coordinated planning method flow diagram provided by the invention.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing, subordinate list and embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only for explaining the present invention, being not intended to limit the present invention.

In an embodiment of the present invention, trans-regional installed capacity of wind-driven power coordinated planning method on a large scale, using the wind-powered electricity generation bank capability factor as income, using wind-powered electricity generation combination standard difference as risk, by optimizing the installed capacity of wind-driven power ratio in each region, make in certain wind-powered electricity generation bank capability because of under subcase, wind-powered electricity generation combination standard difference reaches minimum, efficiently reduce the fluctuation of wind-powered electricity generation gross capability, the peak demand that the system that reduces is total.

As shown in Figure 1, trans-regional installed capacity of wind-driven power coordinated planning method provided by the invention comprises the following step performed in order:

Step 1) obtain S1 stage of related data: the installed capacity of wind-driven power bound obtaining planning areal, the wind-powered electricity generation capacity factor measure in planning region, the wind-powered electricity generation standard deviation in planning region, the wind-powered electricity generation installation total capacity of planning, each region, the wind-powered electricity generation coefficient correlation between each region;

Step 2) S2 of structure computation model: build with in given wind-powered electricity generation bank capability because subcase leeward electricity combination standard difference is minimum for target function, be constrained to the computation model of constraints with the constraint of installed capacity of wind-driven power ratio, the constraint of wind-powered electricity generation capacity factor measure and installed capacity of wind-driven power;

Step 3) calculate S3 stage of wind-powered electricity generation combination efficient frontier curve: the installed capacity of wind-driven power bound in the wind-powered electricity generation capacity factor measure in the planning areal obtained by the S1 stage, planning region, the planning wind-powered electricity generation standard deviation in region, the wind-powered electricity generation total installation of generating capacity of planning and each region is substituted into the computation model built in the S2 stage, and by the wind-powered electricity generation bank capability factor in given zone in continuous value, repeatedly calculate the computation model built in the S2 stage, obtain one group of wind-powered electricity generation combination standard difference and corresponding each region installed capacity of wind-driven power, make wind-powered electricity generation combination efficient frontier curve;

Step 4) determine the program results S4 stage: utilize wind-powered electricity generation to combine efficient frontier curve, calculate wind-powered electricity generation combined article prime factor, and therefrom choose wind-powered electricity generation combined article prime factor maximum time each region installed capacity of wind-driven power as final program results.

In the S2 stage, the method for described structure computation model comprises the following steps:

S21: build optimization aim: with given wind-powered electricity generation bank capability because of subcase leeward electricity combination standard difference minimum for target function;

S22: build constraints, comprising: the constraint of installed capacity of wind-driven power ratio, the constraint of wind-powered electricity generation capacity factor measure and installed capacity of wind-driven power constraint.

In the S21 stage, described target function is: wherein, σ _totalfor wind-powered electricity generation constitution's risk; N is planning areal; x _ifor the installed capacity of wind-driven power ratio of region i; σ _ifor the wind-powered electricity generation standard deviation of region i; ρ _ijfor the wind-powered electricity generation coefficient correlation of wind power base i and j;

In the S22 stage, described constraints comprises:

1) installed capacity of wind-driven power ratio constraint: $\left\{\begin{array}{c}\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{x}_i=1\\ x_i\≥0,i=\mathrm{1,2},\·\·\·,N\end{array}\right.,$ The installed capacity of wind-driven power ratio sum of all areas to be planned must be 1;

2) wind-powered electricity generation capacity factor measure constraint: wherein, E _ifor the wind-powered electricity generation capacity factor measure of region i; E _totalfor the wind-powered electricity generation bank capability factor;

3) installed capacity of wind-driven power constraint: $\left\{\begin{array}{c}{P}_i=x_i{P}_{\mathrm{total}}\\ P_{i\min }\≤P_i\≤P_{i\max }\end{array}\right.,$ Wherein, P _ifor the installed capacity of wind-driven power of the region i of planning; P _totalfor the wind-powered electricity generation total installation of generating capacity of planning; P _iminand P _imaxbe respectively the installed capacity of wind-driven power bound of region i; If do not arrange P _iminand P _imax, then the region installed capacity of wind-driven power ratio had in result of calculation may be 0, in addition, in order to take into full account the actual conditions such as electric network composition, load level, government policy of regional, therefore need arrange P _iminand P _imax.

In the S3 stage, described to refer between the given zone of the wind-powered electricity generation bank capability factor in given zone continuously in value in this interval, utilize method of Lagrange multipliers repeatedly to calculate the computation model of structure, one group of wind-powered electricity generation combination standard difference and corresponding each region installed capacity of wind-driven power can be obtained.

In the S4 stage, described wind-powered electricity generation combined article prime factor is defined as the ratio of the wind-powered electricity generation bank capability factor and wind-powered electricity generation combination standard difference; Wind-powered electricity generation capacity factor measure refers to that wind energy turbine set annual is exerted oneself and the ratio of specified installed capacity; This parameter reflects a regional wind energy resources condition, and capacity factor measure shows that more greatly this area's wind energy resources is abundanter; Standard deviation is the average that each data depart from the distance of average; Standard deviation reflects the dispersion degree of a data set, and a larger standard deviation represents between most of numerical value and its mean value and differs greatly; A less standard deviation represents these numerical value comparatively close to mean value; A regional wind-powered electricity generation standard deviation features the degree of fluctuation of this area's wind power, and the wind power standard deviation of a wind power base is less, and the impact brought electrical network is less; In order to overall merit and measurement wind power resources quality, definition wind-powered electricity generation quality factor equals the ratio of this area's wind-powered electricity generation capacity factor measure and standard deviation, quality factor had both considered wind power size (capacity factor measure), take into account again wind-powered electricity generation degree of fluctuation (standard deviation), quality factor is larger, and wind-powered electricity generation condition is more excellent.

In order to illustrate further the embodiment of the present invention, the eight large ten million multikilowatt wind power base of now building with China are for research object: Jiuquan, Hami, Meng Dong (Chifeng), cover west (Wulanchabu League), Hebei (Zhangjiakou), Jilin (Baicheng), Jiangsu (great Feng), Shandong (Laizhou), optimize the installed capacity of wind-driven power ratio of eight large wind power base.The wind-powered electricity generation characteristic index of the large wind power base of China eight is as shown in table 1.

Based on set up trans-regional installed capacity of wind-driven power coordinated planning model, effective frontal can be combined.For the optimum organization of several wind power base, the bank capability factor is the weighted average of these wind power base capacity factor measures, wherein weights are the installed capacity ratio of each wind power base, therefore the bank capability factor must exceed the maximum of these wind power base capacity factor measures.The standard deviation of Jiuquan region is 0.2368, and wind-powered electricity generation capacity factor measure is 0.1759, and quality factor is 0.7462; And combining wind-powered electricity generation under identical standard deviation, capacity factor measure and quality factor are all greater than the twice (being respectively 0.3640,1.5385) in Jiuquan.The standard deviation of Hami Prefecture is 0.2876, and wind-powered electricity generation capacity factor measure is 0.1899, and quality factor is 0.6602; And combining wind-powered electricity generation under identical standard deviation, capacity factor measure and quality factor are also greater than the twice (being respectively 0.3955,1.3751) in Hami.

For wind-powered electricity generation combination, combination effective frontal comprises numerous point, and the minimum sandards that can obtain under each point wherein all represents the heap(ed) capacity factor or the specified vol factor that can obtain under specific criteria difference is poor.Wherein combined article prime factor maximum is 1.8675, and now the bank capability factor is 0.275, and combination standard difference is 0.1473, and the installed capacity of wind-driven power ratio in each region is as shown in table 2.In China's eight large ten million kilowatts of wind power base, cover west quality factor maximum (1.1716), and combined article prime factor maximum be cover west be 1.6 times.Using each region installed capacity of wind-driven power under wind-powered electricity generation combined article prime factor maximum case as final optimization pass result, wind-powered electricity generation volume metering and wind-powered electricity generation fluctuation problem are taken into account to the full extent.By the installed capacity of wind-driven power unite planning of zones of different, efficiently reduce the fluctuation of wind-powered electricity generation gross capability, reduce the peak demand that system is total.

Those skilled in the art's easy understand; the foregoing is only preferred embodiment of the present invention; not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.

The wind-powered electricity generation characteristic index that eight, table 1 China is regional

The installed capacity of wind-driven power ratio in each region of table 2

Region

Jiuquan

Hami

Cover east

Cover west

Hebei

Jilin

Jiangsu

Shandong

Ratio

21.52％

17.17％

9.35％

16.19％

0

13.55％

22.22％

0

Trans-regional installed capacity of wind-driven power coordinated planning method provided by the invention is by the installed capacity of wind-driven power unite planning of zones of different, based on portfolio theory, using the wind-powered electricity generation bank capability factor as income, using wind-powered electricity generation combination standard difference as risk, take into full account the electric network composition of regional, load level, the situations such as government policy, using each region installed capacity of wind-driven power under wind-powered electricity generation combined article prime factor maximum case as final optimization pass result, efficiently reduce the fluctuation of wind-powered electricity generation gross capability, the peak demand that reduction system is total, carry out installed capacity of wind-driven power planning for the angle overall from the overall situation and provide guidance.

Claims (3)

1. a trans-regional installed capacity of wind-driven power coordinated planning method, is characterized in that: described trans-regional installed capacity of wind-driven power coordinated planning method comprises the following step performed in order:

Step 1) obtain S1 stage of related data: the installed capacity of wind-driven power bound obtaining planning areal, the wind-powered electricity generation capacity factor measure in planning region, the wind-powered electricity generation standard deviation in planning region, the wind-powered electricity generation installation total capacity of planning, each region, the wind-powered electricity generation coefficient correlation between each region;

Step 2) S2 stage of structure computation model: build with in given wind-powered electricity generation bank capability because subcase leeward electricity combination standard difference is minimum for target function, be constrained to the computation model of constraints with the constraint of installed capacity of wind-driven power ratio, the constraint of wind-powered electricity generation capacity factor measure and installed capacity of wind-driven power;

Step 3) calculate S3 stage of wind-powered electricity generation combination efficient frontier curve: the installed capacity of wind-driven power bound in the wind-powered electricity generation capacity factor measure in the planning areal obtained by the S1 stage, planning region, the planning wind-powered electricity generation standard deviation in region, the wind-powered electricity generation total installation of generating capacity of planning and each region is substituted into the computation model built in the S2 stage, and by the wind-powered electricity generation bank capability factor in given zone in continuous value, repeatedly calculate the computation model built in the S2 stage, obtain one group of wind-powered electricity generation combination standard difference and corresponding each region installed capacity of wind-driven power, make wind-powered electricity generation combination efficient frontier curve; Refer between given zone wherein Ei represents the wind-powered electricity generation capacity factor measure of region i, utilizes method of Lagrange multipliers repeatedly to calculate the computation model of structure in this interval, can obtain one group of wind-powered electricity generation combination standard difference and corresponding each region installed capacity of wind-driven power; Wind-powered electricity generation standard deviation refers to the degree of fluctuation of a certain local wind electrical power;

Step 4) determine the program results S4 stage: utilize wind-powered electricity generation to combine efficient frontier curve and calculate wind-powered electricity generation combined article prime factor, and therefrom choose wind-powered electricity generation combined article prime factor maximum time each region installed capacity of wind-driven power as final program results; Wind-powered electricity generation combined article prime factor is defined as the ratio of the wind-powered electricity generation bank capability factor and wind-powered electricity generation combination standard difference; Wind-powered electricity generation capacity factor measure refers to that wind energy turbine set annual is exerted oneself and the ratio of specified installed capacity.

2. trans-regional installed capacity of wind-driven power coordinated planning method according to claim 1, it is characterized in that: in the S2 stage, described target function is: wherein, σ _totalfor wind-powered electricity generation constitution's risk; N is planning areal; x _ifor the installed capacity of wind-driven power ratio of region i; σ _ifor the wind-powered electricity generation standard deviation of region i; ρ _ijfor the wind-powered electricity generation coefficient correlation of wind power base i and j.

3. trans-regional installed capacity of wind-driven power coordinated planning method according to claim 1, it is characterized in that: in the S2 stage, described constraints comprises:

1) installed capacity of wind-driven power ratio constraint: $\left\{\begin{array}{c}\underset{i=1}{\overset{N}{\Σ}}{x}_i=1\\ \begin{array}{cc}{x}_i\≥0& j=1,2,...,N\end{array}\end{array}\right.,$ The installed capacity of wind-driven power ratio sum of all areas to be planned must be 1;

2) wind-powered electricity generation capacity factor measure constraint: wherein, E _ifor the wind-powered electricity generation capacity factor measure of region i; E _totalfor the wind-powered electricity generation bank capability factor;

3) installed capacity of wind-driven power constraint: $\left\{\begin{array}{c}{P}_i=x_i{P}_{total}\\ P_{i\min }\≤P_i\≤P_{i\max }\end{array}\right.,$ Wherein, P _ifor the installed capacity of wind-driven power of the region i of planning; P _totalfor the wind-powered electricity generation total installation of generating capacity of planning; P _iminand P _imaxbe respectively the installed capacity of wind-driven power bound of region i.