CN108718093B - Active-reactive coordination control method for high energy-carrying load participating in wind power consumption - Google Patents
Active-reactive coordination control method for high energy-carrying load participating in wind power consumption Download PDFInfo
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- 229910052782 aluminium Inorganic materials 0.000 description 7
- HBMJWWWQQXIZIP-UHFFFAOYSA-N silicon carbide Chemical compound [Si+]#[C-] HBMJWWWQQXIZIP-UHFFFAOYSA-N 0.000 description 6
- 229910010271 silicon carbide Inorganic materials 0.000 description 6
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
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- 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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- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
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- Y02E10/76—Power conversion electric or electronic aspects
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y02E40/30—Reactive power compensation
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Abstract
The invention discloses an active-reactive coordination control method for high energy-carrying load participating in wind power consumption. The method is characterized in that on the basis of determining the adjustable capacity of the high-energy-load, constraint conditions such as power balance of a power system, high-energy-load running time and the like are considered, an electric quantity optimization model of the high-energy-load participating in wind power consumption and a reactive power adjustment model of a capacitor/reactor are established, coordination of the high-energy-load and wind power is reasonably carried out, and the switching plan of the capacitor/reactor is arranged while the original power utilization plan of the high-energy-load and the original output plan of a wind power plant are adjusted. The invention can reduce the influence of high energy-carrying load participating in regulation on the reactive power of the system while consuming wind power as much as possible, reduce the fluctuation of the system voltage and provide guidance for the problem of wind power consumption resistance.
Description
Technical Field
The invention belongs to the field of renewable energy utilization and scheduling, and particularly relates to an active-reactive coordination control method for participating in wind power consumption by a high energy-carrying load.
Background
Wind energy resources in China are mainly concentrated in the 'three north' area and are far away from a load center, energy structures in China mainly use coal power, a regulative power supply and demand side response resources are lacked, and the defects of capacity, local absorption capacity and peak regulation capacity of a power transmission channel of a power system become main limiting factors of new energy development. The traditional scheduling mode cannot meet the development requirement of wind power, and it is particularly important to find a new way to solve the problem of wind power consumption.
On the other hand, the uncontrollable nature of the wind power active power can change the reactive power, which brings about the problem of voltage fluctuation, and the large-scale wind power grid connection needs enough reactive power regulation capacity to realize the effective control of the voltage and ensure the safety and stability of the power system. The adjustable characteristic of high energy-carrying load is deeply excavated and utilized, the local wind power consumption capability is improved, and the method is an effective measure for solving the problem of wind power consumption. Therefore, the research on the active-reactive coordination control method for the high energy-carrying load to participate in the wind power consumption has important theoretical and practical significance.
Disclosure of Invention
The invention aims to provide an active-reactive coordination control method for participation of a high energy-carrying load in wind power consumption, aiming at the problems, and the method is used for solving the problems that under the condition that the high energy-carrying load participates in the wind power consumption, the power adjustment amount of the high energy-carrying load and the power increment of a wind power plant are calculated quantitatively, and providing reference for dispatching and running of renewable energy sources of a power grid.
In order to achieve the purpose, the invention adopts the technical scheme that: an active-reactive coordination control method for high energy-carrying load participating in wind power consumption is characterized by comprising the following steps:
s1: determining the adjustable capacity of the high-energy-load according to the initial power consumption and the upper and lower adjustment limits of the high-energy-load;
s2: calculating to obtain the choked wind power P according to the day-ahead prediction and plan of wind power F (t)；
S3: establishing an electric quantity optimization model for high energy-carrying load to participate in wind power consumption;
s4: obtaining the power adjustment quantity delta P of each moment of the high energy-carrying load DL (i, t) and wind-electric total power increment Δ P W (t)；
S5: making a power utilization plan after the high-energy-load is adjusted according to the initial power utilization plan and the adjustment amount of the high-energy-load;
s6: distributing the wind power total power increment to each wind power plant according to the blocked power proportion, and making an adjusted output plan of the wind power plant according to the original output plan and the power increment of the wind power plant;
s7: carrying out load flow calculation according to the power utilization plan after high energy load adjustment and the output plan after wind farm adjustment to obtain the running voltage of each bus of the system, judging whether voltage out-of-limit exists or not, and if the voltage out-of-limit exists, carrying out reactive power regulation on the out-of-limit bus by means of capacitor/reactor switching, and controlling the bus voltage within an allowable voltage range;
s8: establishing a reactive power regulation model of a capacitor/reactor;
s9: arranging a switching plan of the capacitor/reactor;
s10: and finishing the active-reactive coordination control of the high energy-carrying load participating in the wind power consumption.
Further, in S3, the electric quantity optimization model for participating in wind power consumption by the high-energy-load includes an objective function and constraint conditions:
1) Objective function
And determining a target function of the high-energy-carrying load participating in wind power consumption, namely, the maximum wind power consumption.
2) Constraint conditions
The constraint conditions which the objective function should satisfy include system power balance constraint, regulation range constraint, wind power consumption power constraint, operation time constraint, climbing rate constraint, response time interval constraint and the like.
Further, in S8, the reactive power regulation model of the capacitor/reactor, the objective function and the constraint condition include:
1) Objective function
And determining an objective function of reactive power regulation of the capacitor/reactor, namely, the minimum voltage accumulated deviation and the minimum action times of the capacitor/reactor.
2) Constraint conditions
The constraint conditions which the objective function should satisfy include a power flow equation constraint, a voltage safety constraint, a control variable constraint and the like.
The technical scheme of the invention has the following beneficial effects:
the invention provides an active-reactive coordination control method for high energy load participating in wind power consumption, which comprehensively considers the influences of active and reactive aspects, obtains high energy load power adjustment amount and wind power increment by establishing an electric quantity optimization model of the high energy load participating in the wind power consumption and a reactive power regulation model of a capacitor/reactor, and provides reference for a power grid to formulate a renewable energy scheduling plan.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a flow chart of an active-reactive coordination control method for participating in wind power consumption by a high energy-carrying load;
FIG. 2 is a schematic diagram of a high-energy-load access position of a Gansu power grid;
FIG. 3 is a graph of power of blocked wind in Hexi region;
FIG. 4 is a graph of silicon carbide and electrolytic aluminum adjustments and wind power gross power increase;
FIG. 5 is a comparison of an initial power schedule and an adjusted power schedule for silicon carbide and electrolytic aluminum;
6-7 are graphs comparing an original output plan and an adjusted output plan for a typical wind farm;
fig. 8 is a diagram of voltage conditions before and after reactive power regulation of each 330kV substation in embodiment 2;
fig. 9 is a comparison graph of hindered wind power curves before and after the active-reactive power coordinated control in the hexi region in embodiment 2;
fig. 10 is a comparison graph of the total amount of blocked wind power before and after the active-reactive power coordinated control in the hexi region in embodiment 2.
Detailed Description
While the exemplary embodiments of the present invention will be described in conjunction with the appended drawings, it is to be understood that the exemplary embodiments described herein are merely illustrative and explanatory of the invention, and are not restrictive thereof, since various equivalent modifications of the invention, which would occur to those skilled in the art upon reading the disclosure herein, fall within the scope of the appended claims.
Example 1:
fig. 1 is a flowchart of an active-reactive coordination control method for participating in wind power consumption by a high energy-carrying load according to the present invention, and the active-reactive coordination control method for participating in wind power consumption by a high energy-carrying load includes the following steps:
s1: determining the adjustable capacity of the high-energy-carrying load according to the initial power consumption and the upper and lower adjustment limits of the high-energy-carrying load;
s2: calculating to obtain the choked wind power P according to the day-ahead prediction and plan of wind power F (t)；
P F (t)＝P pre (t)-P plan (t)
(1)
In the formula: p F (t) the power of the blocked wind at time t, P pre (t) is predicted value of wind power day ahead at time t, P plan And (t) is the original wind power output planned value at the moment t.
S3: establishing an electric quantity optimization model for high energy-carrying load to participate in wind power consumption;
s4: obtaining the power adjustment quantity delta P of each moment of the high energy-carrying load DL (i, t) and wind-electric total power increment Δ P W (t)；
S5: and (3) formulating a power utilization plan after the adjustment of the high-load energy load according to the initial power utilization plan and the adjustment amount of the high-load energy load:
P DL (i,t)＝P DL_plan (i,t)+ΔP DL (i,t) (2)
in the formula: p DL (i, t) is the adjusted power utilization plan value of the high energy load i at time t, P DL_plan (i, t) is the initial planned power consumption value, Δ P, of the high energy load i at time t DL (i, t) is the power adjustment amount of the high energy-carrying load i at the time t, and the up-regulation time delta P DL (i,t)＞0。
S6: distributing the wind power total power increment to each wind power plant according to the blocked power proportion, and making an adjusted output plan of the wind power plant according to the original output plan and the power increment of the wind power plant:
P W (k,t)＝P W_plan (k,t)+ΔP W1 (k,t) (3)
in the formula: p is W (k, t) is the planned value of output, delta P, after adjustment of the wind farm k at time t W1 (k, t) is the power increment of the wind farm k at time t, P W_plan (k, t) is the original planned output value, delta P, of the wind farm k at time t W1 And (k, t) is the power increment of the wind farm k at the time t.
S7: carrying out load flow calculation according to the power utilization plan after high-energy-load adjustment and the output plan after wind farm adjustment to obtain the running voltage of each bus of the system, judging whether voltage overlimit exists or not, carrying out reactive power regulation on the overlimit bus by means of switching a capacitance reactor if the voltage overlimit exists, and controlling the bus voltage within an allowable voltage range;
s8: establishing a reactive power regulation model of a capacitor/reactor;
s9: arranging a switching plan of the capacitor/reactor;
s10: and finishing the active-reactive coordination control of the high energy-carrying load participating in the wind power consumption.
Preferably, the electric quantity optimization model for participating in wind power consumption by the high energy-carrying load in S3 includes the following objective function and constraint conditions:
1) Objective function
The wind power consumption is maximum:
in the formula: f 1 The total wind power consumption increment is calculated; t is the total time period number of the scheduling period; n is a radical of hydrogen DL Number of high energy loads, Δ P, to be involved in the regulation DL (i, T) is the power adjustment amount of the high energy-carrying load i in the period T, and delta T is the duration of each period.
2) Constraint conditions
The constraint conditions which should be met by the objective function comprise a system power balance constraint, an adjusting range constraint, a wind power absorption power constraint, an operation time constraint, a climbing rate constraint, a response time interval constraint and the like.
a. System power balance constraints
In the formula: p W And (t) is the wind power total power increment at the moment t.
b. Constraint of regulation range
In the formula:
the upper limit and the lower limit are respectively adjusted for the high energy-carrying load.
c. Wind power absorption power constraint
In the formula: p F And (t) is the wind power blocked power at the moment t.
d. Runtime constraints
In the formula:
maximum run time;
alpha (i, t) is a state variable from 0 to 1,
e. slope rate constraint
In the formula:
upper and lower climbing rates of high energy-carrying load, respectively>
Is positive and/or is greater than>
Is negative.
f. Response time interval constraints
In the formula:
the minimum response time interval for the high-load i indicates that the high-load i must be maintained in the same operating state at least>
And then can participate in the next adjustment.
Preferably, the capacitance/reactor reactive power regulation model in S8 includes the following objective function and constraint conditions:
1) Objective function
a. Minimum voltage accumulation deviation
In the formula:
is the average voltage of the bus j in the period t; />
The target reference voltage average value of the bus j in the t period is obtained; m represents the total number of bus nodes; and p is the number of time segments in the coordinated control period.
b. Minimum number of capacitor/reactor actions
In the formula: l represents the number of capacitors/reactors.
The switching action of the capacitor/reactor is shown, 1 is the switching action of the capacitor/reactor, 0 is the non-action, and-1 is the cutting action of the capacitor/reactor.
In conclusion, the reactive power regulation model objective function of the capacitor/reactor is as follows:
in the formula:
each is a weight coefficient determined by a control target.
2) Constraint conditions
The constraint conditions which the objective function should satisfy include a power flow equation constraint, a voltage safety constraint and a control variable constraint.
a. Flow equation constraints
In the formula (I), the compound is shown in the specification,
and &>
Respectively representing the injected active power and reactive power of a node i in a period t; />
The voltage value of the node i is t time period; />
The phase angle difference of the voltages of the two nodes i and j in the t period; g ij Is the conductance of line ij; b is ij Is the susceptance of line ij.
b. Voltage safety constraints
In the formula: u shape imin And U imax Respectively representing the allowed upper and lower limit values of the voltage of the node i.
c. Controlling variable constraints
In the formula: n is a radical of j,min And N j,max Respectively representing the lower limit and the upper limit of the switchable group number of the capacitor/reactor j.
Example 2:
fig. 2 is a schematic diagram of an access position of a high energy-carrying load of a grid in Gansu province, and by taking data of 2016, 4, month and 5 days as an example for analysis, the active-reactive power coordination control method for participation of the high energy-carrying load in wind power consumption provided by the invention comprises the following steps:
s1: determining the adjustable capacity of the high-energy-carrying load according to the initial power consumption and the upper and lower adjustment limits of the high-energy-carrying load;
TABLE 1 HEXI district high energy Capacity Regulation characteristics
S2: calculating to obtain the wind resistance electric power P according to the day-ahead prediction and plan of wind power F (t), as shown in FIG. 3;
s3: establishing an electric quantity optimization model for high energy load participating in wind power consumption;
s4: obtaining the power adjustment quantity delta P of each moment of the high energy-carrying load DL (i, t) and wind-power gross power increment DeltaP W (t)；
Obtaining power adjustment quantity delta P at each moment according to an electric quantity optimization model of silicon carbide and electrolytic aluminum participating in wind power consumption DL (i, t) and wind-power gross power increment DeltaP W (t) as shown in FIG. 4.
S5: an adjusted power utilization plan for silicon carbide and electrolytic aluminum is prepared from the initial power utilization plan and the adjusted amount of electrolytic aluminum, and a comparison chart of the initial power utilization plan and the adjusted power utilization plan for silicon carbide and electrolytic aluminum is shown in fig. 5.
S6: distributing the wind power total power increment to each wind power plant according to the hindered power proportion, and making an adjusted output plan of the wind power plant according to the original output plan and the power increment of the wind power plant, wherein if the power increment distribution condition of four typical wind power plants in Hexi at a time interval of 00-05 is shown in a table 2, FIGS. 6 and 7 are comparison graphs of the original output plan and the adjusted output plan of the wind power plant at the time interval;
TABLE 2 wind farm Power increment (Unit: MW)
S7: performing load flow calculation according to the power utilization plan after the adjustment of the silicon carbide and the electrolytic aluminum and the output plan after the adjustment of the wind farm to obtain the running voltage of each bus of the system, judging whether voltage overlimit exists or not, performing reactive power regulation on an overlimit bus by means of switching a capacitor/reactor if the voltage overlimit exists, and controlling the voltage of the bus within an allowable voltage range;
the operating voltage and the allowable voltage range of each 330kV transformer substation before voltage regulation are shown in table 3:
TABLE 3 busbar voltage of each 330kV substation (unit: kV) before reactive power regulation
S8: establishing a reactive power regulation model of a capacitor/reactor;
s9: arranging a switching plan of the capacitor/reactor;
it can be seen from table 3 that the 330kV substation in the front part of the regulation is out-of-limit, and reactive power regulation is performed on the substation, and the capacitor/reactor switching plan is as shown in table 4:
TABLE 4 Voltage situation and switching plan of 330kV transformer substation after reactive power regulation
The voltage conditions before and after reactive power regulation of each 330 transformer substation are shown in fig. 8:
it can be seen from the figure that after the adjustment of the parallel capacitors/reactors, the bus voltage of each substation is within the allowable voltage range and operates at a better level, so that the active-reactive coordination control of the high-energy-carrying load is completed.
S10: after the active-reactive coordination control of the high energy load participating in the wind power consumption is finished, a comparison chart of a power curve of the hindered wind power and a total amount of the hindered wind power before and after the high energy load participates in the active-reactive coordination control is provided below, and the comparison chart is respectively shown in fig. 9 and fig. 10.
As can be seen from fig. 10, after the high energy-carrying load participates in the active-reactive coordination control of wind power absorption, the total amount of blocked wind power in the western and river regions is reduced from 3248.825MWh to 1658.0225MWh, which is reduced by 49.96%, and the absorption effect of the high energy-carrying load participating in regulation is obvious.
The above example analysis shows that: an active-reactive coordination control method for high-energy-load participation in wind power consumption comprehensively considers two aspects of system active and reactive, obtains power adjustment quantity and wind power plant power increment of the high-energy-load at each moment by establishing a mathematical model taking the maximum wind power consumption as a target and a reactive power adjustment model of a capacitor/reactor, adjusts an initial power utilization plan of the high-energy-load and an initial power generation plan of a wind power plant, and provides reference for a power grid to formulate a renewable energy scheduling plan.
Claims (3)
1. An active-reactive coordination control method for participating in wind power consumption by a high energy-carrying load is characterized by comprising the following steps:
s1: determining the adjustable capacity of the high-energy-carrying load according to the initial power consumption and the upper and lower adjustment limits of the high-energy-carrying load;
s2: calculating to obtain the wind resistance electric power P according to the day-ahead prediction and plan of wind power F (t)；
S3: establishing an electric quantity optimization model for participating in wind power consumption by a high energy-carrying load, wherein the electric quantity optimization model for participating in wind power consumption by the high energy-carrying load comprises an objective function and a constraint condition, and the objective function determines the objective function for participating in wind power consumption by the high energy-carrying load, namely the wind power consumption is maximum; the constraint conditions which the objective function should meet comprise system power balance constraint, regulation range constraint, wind power absorption power constraint, running time constraint, climbing rate constraint and response time interval constraint;
s4: obtaining the power adjustment quantity delta P of each moment of the high energy-carrying load DL (i, t) and wind-power gross power increment DeltaP W (t)；
S5: making a power utilization plan after the high-energy-load is adjusted according to the initial power utilization plan and the adjustment amount of the high-energy-load;
s6: distributing the wind power total power increment to each wind power plant according to the blocked power proportion, and making an adjusted output plan of the wind power plant according to the original output plan and the power increment of the wind power plant;
s7: carrying out load flow calculation according to the power utilization plan after the high-energy-load is adjusted and the output plan after the wind farm is adjusted to obtain the running voltage of each bus of the system, judging whether voltage overlimit exists or not, and carrying out reactive power regulation on the overlimit bus by means of switching a capacitor/reactor if the voltage overlimit exists, and controlling the voltage of the bus to be within an allowable voltage range;
s8: establishing a reactive power regulation model of a capacitor/reactor; the reactive power regulation model of the capacitor/reactor, the objective function and the constraint condition are as follows: the objective function is used for determining the objective function of reactive power regulation of the capacitor/reactor, namely the minimum voltage accumulated deviation and the minimum action times of the capacitor/reactor; the constraint conditions which the target function should meet comprise a power flow equation constraint, a voltage safety constraint and a control variable constraint;
s9: arranging a switching plan of the capacitor/reactor;
s10: and finishing the active-reactive coordination control of the high energy-carrying load participating in the wind power consumption.
2. The active-reactive power coordinated control method for participating in wind power consumption by high energy load according to claim 1, wherein the electric quantity optimization model for participating in wind power consumption by high energy load in S3 comprises the following objective functions and constraints:
1) Objective function
The wind power consumption is maximum:
in the formula: delta P W (t) wind power total power increment at time t; t is the total time period number of the scheduling period; n is a radical of hydrogen DL Number of high energy loads, Δ P, to be involved in the regulation DL (i, T) is a power adjustment quantity of a high energy-carrying load i in a period T, and delta T is the duration time of each period;
2) Constraint conditions
Constraint conditions which the objective function should meet comprise system power balance constraint, regulation range constraint, wind power absorption power constraint, running time constraint, climbing rate constraint and response time interval constraint;
a. system power balance constraints
In the formula: delta P W (t) wind power total power increment at time t;
b. constraint of adjustment range
In the formula:
adjusting the upper limit and the lower limit for the high energy-carrying load respectively;
c. wind power absorption power constraint
In the formula: p F (t) the wind power blocked power at the moment t;
d. runtime constraints
In the formula: t is i d Maximum run time;
alpha (i, t) is a state variable from 0 to 1,
e. slope rate constraint
In the formula:
upper and lower climbing rates of high energy-carrying load, respectively>
Is positive and/or is greater than>
Is a negative value;
f. response time interval constraints
In the formula: t is a unit of i u The minimum response time interval of the high-energy-load i represents that the high-energy-load i at least needs to maintain T in the same operation state i u Then can participate in the next adjustmentAnd (5) saving.
3. The active-reactive coordination control method for high energy load to participate in wind power consumption according to claim 1, wherein the capacitance/reactor reactive power regulation model in the step S8 comprises the following objective functions and constraint conditions:
1) Objective function
a. Minimum voltage accumulation deviation
In the formula:
the average voltage of the bus j in the period t; />
The target reference voltage average value of the bus j in the t period is obtained; m represents the total number of bus nodes; p is the number of time segments in the coordination control period;
b. minimum number of capacitor/reactor actions
In the formula: l represents the number of capacitors/reactors,
the switching action of the capacitor/reactor is represented, 1 represents the switching action of the capacitor/reactor, 0 represents no action, and-1 represents the cutting action of the capacitor/reactor; />
In conclusion, the reactive power regulation model objective function of the capacitor/reactor is as follows:
in the formula:
respectively, weight coefficients determined by the control targets;
2) Constraint conditions
The constraint conditions which the target function should meet comprise a power flow equation constraint, a voltage safety constraint and a control variable constraint;
a. flow equation constraints
In the formula, P i t And
respectively representing the injected active power and reactive power of a node i in the t period; />
The voltage value of the node i is t time period; />
The phase angle difference of the voltages of the two nodes i and j in the t period; g ij Is the conductance of line ij; b ij Is the susceptance of line ij;
b. voltage safety constraints
In the formula: u shape imin And U imax Respectively representing the allowed upper limit value and the allowed lower limit value of the voltage of the node i;
c. controlling variable constraints
In the formula: n is a radical of j,min And N j,max Respectively representing the lower limit and the upper limit of the switchable group number of the capacitor/reactor j.
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