AU2021104984A4 - Step-by-step safety checking method and system for medium and long-term electric power transactions - Google Patents
Step-by-step safety checking method and system for medium and long-term electric power transactions Download PDFInfo
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Abstract
The invention relates to a step-by-step safety checking method and system for medium
and long-term electric power transactions, which comprises the following steps: step 1,
selecting typical data; step 2, establishing an advance safety checking model, and performing
elastic pre-check on each typical daily data selected in step 1; step 3, decomposing the medium
and long-term electricity consumption plan according to the elastic pre-check result of step 2;
step 4: establish a post-event safety checking model for medium and long-term transactions,
perform post-event safety checking on the daily electricity quantity decomposed in step 3, and
readjust the electric quantity generation plan if it fails to pass the safety constraint. It can
accurately and efficiently check the safety of medium and long-term transactions of units and
power plants, which is conducive to making full use of transmission capacity of lines and
improving market operation efficiency.
1/3
Figure
Strt
Basic read data
Pre-elastic pre-check
Montly electricity decomposition
Post-combination check
No
Whethermeetthe sfety constoairn
Yes
Safety checking is passed
End
Figure 1
Description
1/3
Figure
Strt
Basic read data
Pre-elastic pre-check
Montly electricity decomposition
Post-combination check
No
Whethermeetthe sfety constoairn
Yes
Safety checking is passed
End
Figure 1
Step-by-step safety checking method and system for medium and long-term
electric power transactions
The invention belongs to the technical field of automatic control of electric
quantity systems, and relates to a electric quantity transaction safety checking method
and system, in particular to a step-by-step safety checking method and system for
medium and long-term electric quantity transactions.
At present, China has not established a perfect electric quantity spot market, and
the decentralized decision-making of electric quantity transaction has brought great
uncertainty to power grid security. In the safety checking, the dispatching
organization needs to arrange the electric quantity generation plan to be executed
because the transaction electric quantity is not decomposed into time-sharing curves.
In the actual operation process, the system load, power grid operation mode, clean
energy output, network constraints, and DC electric quantity transmission curve
combination are different in each period. In this case, the dispatching organization
cannot achieve one-to-one matching of the electric quantity of both parties to the
transaction, nor can it perform time-sharing safety checking on the electric quantity
trading plan in the medium and long term.
At present, the safety checking methods in electric quantity trading mainly focus
on the clearing system of electric quantity spot market and algorithm optimization,
but there is no safety checking method and system for medium and long-term electric
quantity trading. Under the premise of comprehensive consideration of power grid
operation safety, how to achieve fine and efficient verification of medium and long
term electricity transactions has become an urgent problem for technicians in this field.
The purpose of the invention is to overcome the shortcomings of the prior art,
and provide a step-by-step safety checking method for medium and long-term electric
power transactions, which can realize fine and efficient checking for medium and
long-term electric power transactions.
The invention solves the practical problems by adopting the following technical
scheme:
A step-by-step safety checking method for medium and long-term electric power
transactions , which comprises the following steps:
step 1, selecting typical data;
step 2, establishing an advance safety checking model, and performing elastic
pre-check on each typical daily data selected in step 1;
step 3, decomposing the medium-and long-term electricity consumption plan
according to the elastic pre-check result of step 2;
step 4: establish a post-event safety checking model for medium and long-term
transactions, perform post-event safety checking on the daily electricity quantity
decomposed in step 3, and readjust the electric quantity generation plan if it fails to
pass the safety constraint.
And the specific method of step 1 is to adopt a scenario analysis method, and the
scheduling mechanism selects and determines data of a plurality of typical days of the
next month according to historical data.
And the specific method of step 2 is as follows:
Establish an advance safety checking model with the maximum or minimum
electric quantity of the unit as the objective function, and calculate different objective
functions corresponding to different limit electric quantity:
max Y HOPi, t=1 i=1
in which: Pi,t is the active output of generator set i in time period t; T is the total
number of optimization periods; NG is the total number of generating sets; HO is the
period length in the generation planning cycle;
Among them, the constraints to be considered include: system load balance
constraint, system standby constraint, upper and lower limits of unit output constraint
and line electric quantity flow constraint;
(1) system load balance constraints
Pit = De i=1
In which: De is the total load of power grid in time period t;
(2) System standby constraint
ai,tPmax > Dt(1 + RP)
Where: aite is the start-up and shutdown state variable of generator set i in time
period t, which is an integer from 0 to1;Pmaxi is the maximum technical output of
unit i; RP is the system rotation reserve rate;
(3) upper and lower limits of unit output constraint
aitePpmn < Pi,t < aitPmax
In which: Pimi is the minimum technical output of unit i;
(4) Line electric quantity flow constraints
Pl,min < Gl-iiPt - Y l-jDj,t < Pi,max i=1 j=1 Where: k is the total number of load nodes in the system; L is the total number of
lines in the system topology; P1,max is the upper limit of transmission electric quantity
of line 1; P1,minis the lower limit of transmission electric quantity of line 1; Dj,t is the
node load prediction value of node j in the power grid at time t; Git is the node-line
electric quantity transfer distribution factor of unit i to line 1; GJ_j is the node-line
electric quantity transfer distribution factor of loadj to line 1.
And the specific method of step 3 is as follows:
After monthly elastic pre-check, according to the latest trading plan and system
information, the dispatching organization decomposes the medium-and long-term
electricity plan into daily unit startup combination and electric quantity generation
output plan according to the principle of electricity balance.
And the specific method of step 4 is as follows:
The post-event safety checking model for medium and long-term transactions
takes the minimum system operating cost as the objective function:
mini [C0(Pi,t)+CiU(ai,t)]+M (d -+dt) t=1 i=1 i=1
In which:CiG is the generation cost function of generator set i, which is related to
the generating capacity and coal consumption of generator set; Ci is the start-stop
cost function of generator set i, which reflects the loss caused by start-stop of
generator set; dt, d- is the quantity constraint relaxation variable , which is the electric quantity constraint relaxation variable; M is the penalty coefficient of relaxation variable, taking a large positive number;
The constraints that need to be satisfied include system load balance constraint,
system standby constraint, upper and lower limits of unit output constraint, line
electric quantity flow constraint and contract electric quantity consumption constraint.
(1) system load balance constraints
Pi,t = De i=1
In which:Dt is the total load of power grid in time period t;
(2) System standby constraint
ai,tPmax > Dt(1 + RP) i=1 Where: a 1te is the start-up and shutdown state variable of generator set i in time
period t, which is an integer from 0 to 1; Pimaxi is the maximum technical output of
unit i; Rpis the system rotation reserve rate;
(3) upper and lower limits of unit output constraint
aj,t Pin" < Pi,t < aj,t Pmax
In which:Pini iis the minimum technical output of unit i;
(4) Line electric quantity flow constraints
Pl,min < Yi,t - Y l-jDj,t < Pl,max i=1 j=1
Where: k is the total number of load nodes in the system; L is the total number of
lines in the system topology;P,max is the upper limit of transmission electric quantity
of line 1; P1,min is the lower limit of transmission electric quantity of line 1; Dg is the node load prediction value of node j in the power grid at time t; G1 _i is the node-line electric quantity transfer distribution factor of unit I to line 1; G 1_j is the node-line electric quantity transfer distribution factor of loadj to line 1;
(5) Contract electric quantity constraint T
HO Pi,t+ dt - d- = Wi t=1 In which: Wi is the contracted electric quantity of generator set i;
After the safety checking afterwards, if the safety constraint cannot be passed,
the electric quantity generation plan will be readjusted.
A step-by-step safety checking system for medium and long-term electric power
transactions,and it comprises :
A data selection module for selecting typical data;
The advance safety checking model module is used for establishing an advance
safety checking model and performing elastic pre-check on each typical daily data
selected in the data selection module;
The medium-and long-term electricity plan decomposition module is used for
decomposing the medium-and long-term electricity plan according to the elastic pre
check result of the advance safety checking model module;
The medium-and long-term transaction post-event safety checking module is
used for establishing a medium-and long-term transaction post-event safety checking
model, performing post-event safety checking on the daily electricity quantity
decomposed in the medium-and long-term electricity quantity plan decomposition
module, and readjusting the electric quantity generation plan if the safety constraint
cannot be passed.
The invention has the advantages and beneficial effects that:
According to the actual demand for safety checking of medium and long-term
transactions in the transition period of electric quantity market and the current electric
quantity dispatching operation status, the method and system for step-by-step safety
checking of medium and long-term transactions considering closed-loop optimization
of safety constraints are proposed. By adopting the method and system, the safety
checking of medium and long-term transactions of units and power plants can be
carried out accurately and efficiently, which is beneficial to making full use of
transmission capacity of lines and improving market operation efficiency.
Fig. 1 is a processing flow chart of the present invention;
Fig. 2 is a limit electric quantity graph of each power plant according to the
advance safety checking model of the present invention;
Fig. 3 is a schematic diagram of the electric quantity plan of each power plant
according to the electric quantity limit obtained by pre-check and the base electric
quantity issued by the government;
Fig. 4 is a graph showing the comparative analysis results of the positive and
negative reserve rates in each period in the specific embodiment of the present
invention.
A step-by-step safety checking method for medium and long-term electric power
transactions , which comprises the following steps:
step 1, selecting typical data;
Using the method of scene analysis, the dispatching organization selects and
determines the data of several typical days of the next month according to the
historical data.
step 2, establishing an advance safety checking model, and performing elastic
pre-check on each typical daily data selected in step 1;
The specific method of step 2 is as follows:
The dispatching organization performs elastic pre-check on the typical daily data,
and divides the medium-and long-term transaction electric quantity into constrained
internal electric quantity and constrained external electric quantity according to the
pre-check limit; among them, the constrained internal electric quantity indicates that
the safety check can basically pass and the pre-check result can be formed; however,
the constrained external electric quantity may not pass the previous check and will not
be used as the pre-check result.
In this embodiment, the advance safety checking in step 2 takes the maximum or
minimum electric quantity of the unit (unit group or power plant) as the objective
function, and calculates different objective functions corresponding to different limit
electric quantity:
max Y HOPi, t=1 i=1
in which: Pi,t is the active output of generator set i in time period t; T is the total
number of optimization periods; NG is the total number of generating sets; HO is the
period length in the generation planning cycle;
Among them, the constraints to be considered include: system load balance
constraint, system standby constraint, upper and lower limits of unit output constraint
and line electric quantity flow constraint;
(1) system load balance constraints
Pit = De i=1
In which: Dt is the total load of power grid in time period t;
(2) System standby constraint
aitPmax > Dt(1 + RP) i=1
Where: aite is the start-up and shutdown state variable of generator set i in time
period t, which is an integer from 0 to 1;Pmaxi is the maximum technical output of
unit i; RP is the system rotation reserve rate;
(3) upper and lower limits of unit output constraint
ajtePin" < Pi,t < ajtePimax
In which: ppin is the minimum technical output of unit i;
(4) Line electric quantity flow constraints
Pl,min < G-iiP,t - Y l-jDj,t < Pi,max i=1 j=1 Where: k is the total number of load nodes in the system; L is the total number of
lines in the system topology; P1,max is the upper limit of transmission electric quantity
of line 1; Pminis the lower limit of transmission electric quantity of line 1; Dj,t is the
node load prediction value of node j in the power grid at time t; Gi_ is the node-line
electric quantity transfer distribution factor of unit i to line 1; Gjj is the node-line
electric quantity transfer distribution factor of loadj to line 1.
Step 3, decomposing the medium-and long-term electricity consumption plan
according to the elastic pre-check result of step 2;
And the specific method of step 3 is as follows:
After monthly elastic pre-check, according to the latest trading plan and system
information, the dispatching organization decomposes the medium-and long-term electricity plan into daily unit startup combination and electric quantity generation output plan according to the principle of electricity balance.
Step 4: establish a post-event safety checking model for medium and long-term
transactions, perform post-event safety checking on the daily electricity quantity
decomposed in step 3, and readjust the electric quantity generation plan if it fails to
pass the safety constraint.
The specific method of step 4 is as follows:
Based on the latest data such as load forecast, network topology, line constraint
and clean electric quantity output forecast, the daily electricity quantity is checked
safely. If the safety check fails, the plan will be readjusted.
In this embodiment, the post-event safety checking model for medium and long
term transactions is essentially a medium and long-term unit commitment model
considering security constraints. The objective function of this model is to minimize
the system operation cost (including unit operation cost and unit start-up and stop
cost):
mini [C(Pi,,) + C(ai,t)|+M (d-+dt) t=1 i=1 i=1
In which:Cf is the generation cost function of generator set i, which is related to
the generating capacity and coal consumption of generator set; C/ is the start-stop
cost function of generator set i, which reflects the loss caused by start-stop of
generator set; dt, d- is the quantity constraint relaxation variable , which is the
electric quantity constraint relaxation variable; M is the penalty coefficient of
relaxation variable, taking a large positive number;
The constraints that need to be satisfied include system load balance constraint,
system standby constraint, upper and lower limits of unit output constraint, line
electric quantity flow constraint and contract electric quantity consumption constraint.
(1) system load balance constraints NG
Pit = De i=1
In which:Dt is the total load of power grid in time period t;
(2) System standby constraint NG
a,tPmax > Dt(1 + RP) i=1 Where: aite is the start-up and shutdown state variable of generator set i in time
period t, which is an integer from 0 to 1; Pimaxi is the maximum technical output of
unit i; Rpis the system rotation reserve rate;
(3) upper and lower limits of unit output constraint
aj,tPin" < Pi, P< a 7,tPmax
In which:Pini is the minimum technical output of unit i;
(4) Line electric quantity flow constraints
Pl,min < G-P,t GYl-jDj,t < Pi,max i=1 j=1
Where: k is the total number of load nodes in the system; L is the total number of
lines in the system topology;Pmax is the upper limit of transmission electric quantity
of line 1; P1,min is the lower limit of transmission electric quantity of line 1; Dg is the
node load prediction value of node j in the power grid at time t; G1 _i is the node-line electric quantity transfer distribution factor of unit I to line 1; G 1_j is the node-line electric quantity transfer distribution factor of loadj to line 1;
(5) Contract electric quantity constraint
HO Pi,t+ dt - d- = Wi t=1 In which: Wi is the contracted electric quantity of generator set i;
After the safety checking afterwards, if the safety constraint cannot be passed,
the electric quantity generation plan will be readjusted.
A step-by-step safety checking system for medium and long-term electric power
transactions,and it comprises :
A data selection module for selecting typical data;
The advance safety checking model module is used for establishing an advance
safety checking model and performing elastic pre-check on each typical daily data
selected in the data selection module;
The medium-and long-term electricity plan decomposition module is used for
decomposing the medium-and long-term electricity plan according to the elastic pre
check result of the advance safety checking model module;
The medium-and long-term transaction post-event safety checking module is
used for establishing a medium-and long-term transaction post-event safety checking
model, performing post-event safety checking on the daily electricity quantity
decomposed in the medium-and long-term electricity quantity plan decomposition
module, and readjusting the electric quantity generation plan if the safety constraint
cannot be passed.
In this embodiment, in order to verify the effectiveness of the step-by-step safety
checking method for medium-and long-term transactions proposed by the present
invention, this example tests an example of a provincial power grid in China. The example includes 96 units, 921 lines, 336 nodes and 15 power plants. The annual electric quantity safety check is considered here. For convenience, the contract electric quantity constraint is considered in the power plant as a unit, with a total of
366 days, and two periods of peak load and low load are considered every day, that is,
732 periods are considered in total.
(1) Pre-check
The core of pre-check is the calculation of limit electric quantity, including the
limit electric quantity of unit (power plant), the limit electric quantity of unit group,
the total electric quantity, the section electric quantity and the minimum electric
quantity of the required starting unit. According to the pre-check model, the limit
electric quantity of each power plant is shown in Figure 2. Pre-check work can
effectively calculate the limit electric quantity of target units, power plants or unit
groups, thus providing boundary conditions for the organization and safety check of
direct transactions in medium and long-term transactions.
(2)Post-event checking
According to the electric quantity limit obtained by pre-check and the base
electric quantity issued by the government, the electric quantity plan of each power
plant is given as shown in Figure 3. According to the mathematical model established
in the specification, the annual electric quantity plan of each power plant shown in
Figure 3 is checked, and the results show that the given electric quantity plan of each
power plant meets the requirements, and the check is passed. At this time, calculate
the daily startup/shutdown status and output of each unit, and the daily
startup/shutdown status and output of each unit are not listed separately here.
Select the calculation results of one month, and compare and analyze the positive
reserve rate and negative reserve rate in each period, as shown in Figure 4. It can be seen from Figure 4 that the positive and negative standby rates of the system in most periods are greater than the lower limit of the standby rate of 0.08. It can be seen that the electric quantity plan of this month has a strong ability to deal with generator failure, load forecast deviation or excessive startup, and the electric quantity plan has good robustness.
It should be understood by those skilled in the art that embodiments of the
present application can be provided as methods, systems, or computer program
products. Therefore, this application may take the form of an entirely hardware
embodiment, an entirely software embodiment, or an embodiment combining
software and hardware aspects. Furthermore, the application may take the form of a
computer program product embodied on one or more computer usable storage media
(including but not limited to disk memory, CD-ROM, optical memory, etc.) having
computer usable program code embodied therein.
The application is described with reference to flowcharts and/or block diagrams
of methods, devices (systems), and computer program products according to
embodiments of the application. It should be understood that each flow and/or block
in the flowchart and/or block diagram, and combinations of flows and/or blocks in the
flowchart and/or block diagram can be implemented by computer program
instructions. These computer program instructions may be provided to a processor of
a general purpose computer, a special purpose computer, an embedded processor or
other programmable data processing apparatus to produce a machine, such that the
instructions which are executed by the processor of the computer or other
programmable data processing apparatus produce means for implementing the
functions specified in one or more flow diagrams and/or one or more block diagrams.
These computer program instructions may also be stored in a computer-readable
memory that can direct a computer or other programmable data processing apparatus
to operate in a specific manner, such that the instructions stored in the computer
readable memory produce an article of manufacture including instruction means that
implement the functions specified in one or more flows of the flowchart and/or one or
more blocks of the block diagram.
These computer program instructions may also be loaded onto a computer or
other programmable data processing device, such that a series of operational steps are
performed on the computer or other programmable device to produce a computer
implemented process, such that the instructions which execute on the computer or
other programmable device provide steps for implementing the functions specified in
one or more flow diagrams and/or one or more block diagrams.
Claims (6)
1.A step-by-step safety checking method and system for medium and long-term
electric power transactions, which comprises the following steps: step 1, selecting
typical data; step 2, establishing an advance safety checking model, and performing
elastic pre-check on each typical daily data selected in step 1; step 3, decomposing the
medium-and long-term electricity consumption plan according to the elastic pre-check
result of step 2; step 4: establish a post-event safety checking model for medium and
long-term transactions, perform post-event safety checking on the daily electricity
quantity decomposed in step 3, and readjust the electric quantity generation plan if it
fails to pass the safety constraint.
2. A step-by-step safety checking method for medium-and long-term electric
power transactions according to claim 1 is characterized in that the specific method of
step 1 is to adopt a scenario analysis method, and the scheduling mechanism selects
and determines data of a plurality of typical days of the next month according to
historical data.
3. The step-by-step safety checking method for medium and long-term electric
power transactions according to claim lis characterized in that the specific method of
step 2 is as follows:
Establish an advance safety checking model with the maximum or minimum
electric quantity of the unit as the objective function, and calculate different objective
functions corresponding to different limit electric quantity:
T NG
max Y HoPi, t=1 i=1 in which: Pi,tis the active output of generator set i in time period t; T is the total number of optimization periods; NG is the total number of generating sets; HO is the period length in the generation planning cycle;
Among them, the constraints to be considered include: system load balance
constraint, system standby constraint, upper and lower limits of unit output constraint
and line electric quantity flow constraint;
(1) system load balance constraints
NG
Pi' = Dt i=1
In which: Dt is the total load of power grid in time period t;
(2) System standby constraint
NG
aitPmax > Dt(1 + RP)
Where: aite is the start-up and shutdown state variable of generator set i in time
period t, which is an integer from 0 to 1;Pmaxi is the maximum technical output of
unit i; RP is the system rotation reserve rate;
(3) upper and lower limits of unit output constraint
ajtePin" < Pi,t < ajtePimax
In which: ppin is the minimum technical output of unit i;
(4) Line electric quantity flow constraints
NG K
Pl,min < Y l-iji,t - Y l-jDj, < Pl,max i=1 j=1
Where: k is the total number of load nodes in the system; L is the total number of
lines in the system topology; P1,max is the upper limit of transmission electric quantity
of line 1; P1,miis the lower limit of transmission electric quantity of line 1; Djt is the
node load prediction value of node j in the power grid at time t; Git is the node-line
electric quantity transfer distribution factor of unit i to line 1; GJ_j is the node-line
electric quantity transfer distribution factor of loadj to line 1.
4. The step-by-step safety checking method for medium and long-term electric
power transactions according to claim lis characterized in that the specific method of
step 3 is as follows:
After monthly elastic pre-check, according to the latest trading plan and system
information, the dispatching organization decomposes the medium-and long-term
electricity plan into daily unit startup combination and electric quantity generation
output plan according to the principle of electricity balance.
5. The step-by-step safety checking method for medium and long-term electric
power transactions according to claim lis characterized in that the specific method of
step 4 is as follows:
The post-event safety checking model for medium and long-term transactions
takes the minimum system operating cost as the objective function:
T NG NG
min [[(Pi,) +Ci(i,t)]+M (d -+dt) t=1 i=1 i=1
In which:CiG is the generation cost function of generator set i, which is related to
the generating capacity and coal consumption of generator set; C" is the start-stop
cost function of generator set i, which reflects the loss caused by start-stop of
generator set; dt, d- is the quantity constraint relaxation variable , which is the electric quantity constraint relaxation variable; M is the penalty coefficient of relaxation variable, taking a large positive number;
The constraints that need to be satisfied include system load balance constraint,
system standby constraint, upper and lower limits of unit output constraint, line
electric quantity flow constraint and contract electric quantity consumption constraint.
(1) system load balance constraints
NG
Pi,t = De i=1
In which:Dt is the total load of power grid in time period t;
(2) System standby constraint
NG
aitPmax > Dt(1 + RP)
Where: a 1te is the start-up and shutdown state variable of generator set i in time
period t, which is an integer from 0 to 1; Pimaxi is the maximum technical output of
unit i; Rpis the system rotation reserve rate;
(3) upper and lower limits of unit output constraint
aj,t Pin" < Pi,t < aj,t Pmax In which:Pini iis the minimum technical output of unit i;
(4) Line electric quantity flow constraints
NG K
Pl,min < Yi,t - Y l-jDj,t < Pl,max i=1 j=1
Where: k is the total number of load nodes in the system; L is the total number of
lines in the system topology;P,max is the upper limit of transmission electric quantity
of line 1; P1,min is the lower limit of transmission electric quantity of line 1; Dg is the node load prediction value of node j in the power grid at time t; G1 _i is the node-line electric quantity transfer distribution factor of unit I to line 1; G 1_j is the node-line electric quantity transfer distribution factor of loadj to line 1;
(5) Contract electric quantity constraint T
HO Pi,t+ dt - d- = Wi t=1 In which: Wi is the contracted electric quantity of generator set i;
After the safety checking afterwards, if the safety constraint cannot be passed,
the electric quantity generation plan will be readjusted.
6. A step-by-step safety checking system for medium and long-term electric
power transactions is characterized by comprising:
A data selection module for selecting typical data;
The advance safety checking model module is used for establishing an advance
safety checking model and performing elastic pre-check on each typical daily data
selected in the data selection module;
The medium-and long-term electricity plan decomposition module is used for
decomposing the medium-and long-term electricity plan according to the elastic pre
check result of the advance safety checking model module;
The medium-and long-term transaction post-event safety checking module is
used for establishing a medium-and long-term transaction post-event safety checking
model, performing post-event safety checking on the daily electricity quantity
decomposed in the medium-and long-term electricity quantity plan decomposition
module, and readjusting the electric quantity generation plan if the safety constraint
cannot be passed.
Figure 1/3
Figure 1
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