CN111199324A - Electric quantity rolling decomposition engineering method and system - Google Patents

Electric quantity rolling decomposition engineering method and system Download PDF

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CN111199324A
CN111199324A CN201811375226.4A CN201811375226A CN111199324A CN 111199324 A CN111199324 A CN 111199324A CN 201811375226 A CN201811375226 A CN 201811375226A CN 111199324 A CN111199324 A CN 111199324A
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沈力
陈根军
顾全
王言国
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NR Electric Co Ltd
NR Engineering Co Ltd
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Abstract

The invention discloses an electric quantity rolling decomposition engineering method, wherein medium-term and long-term contract electric quantity decomposition is one of main works of electric power trading centers of power grid companies, and when the electric power trading centers of the power grid companies make annual power generation plans in the beginning of the year, annual contract electric quantity is decomposed to each month in the year according to factors such as monthly load prediction and unit starting capacity in the year. Meanwhile, the monthly power generation plan of each month also needs to be decomposed from the time of the day onwards to the time of the day. In addition, in the actual execution of the power generation plan, the decomposition plan also needs to be subjected to rolling correction according to the completion of the previous power generation plan in each period. The high-quality contract electric quantity decomposition scheme can greatly reduce the difficulty of subsequent daily scheduling, is the basis of economic scheduling and energy-saving power generation scheduling of a power grid, and has very important significance.

Description

Electric quantity rolling decomposition engineering method and system
Technical Field
The invention relates to an electric quantity rolling decomposition engineering algorithm considering the average load rate and contract completion degree of a whole network unit, and belongs to the field of power system automation.
Background
The medium-long term contract electric quantity decomposition is one of main works of electric power trading centers of all power grid companies, and when the electric power trading centers of all power grid companies make annual power generation plans in the beginning of the year, annual contract electric quantity needs to be uniformly decomposed to each month in the year according to factors such as monthly load prediction in the year, unit starting capacity and the like. Meanwhile, the monthly power generation plan per month also needs to be decomposed from the day ahead to the hour. In addition, in the actual execution of the power generation plan, the decomposition plan also needs to be subjected to rolling correction according to the completion of the previous power generation plan in each period. The high-quality contract electric quantity decomposition scheme can greatly reduce the difficulty of subsequent daily scheduling, is the basis of economic scheduling and energy-saving power generation scheduling of a power grid, and has very important significance.
In the existing medium-and-long-term electric quantity decomposition model, a quadratic programming solver is required, so that a certain solving difficulty exists when the solving model is large; meanwhile, if the incomplete contract electric quantity (namely the deviation electric quantity) needs to be rolled to the completion of the subsequent time period, the sum of the daily power generation plans of the unit is not equal to the sum of the medium-term and long-term contract electric quantities of the unit, so that the constraint is not established, and the medium-term and long-term electric quantity decomposition optimization model needs to be continuously modified.
Disclosure of Invention
In order to solve the problems, the invention discloses an electric quantity rolling decomposition engineering method and system, which avoid the problem of quadratic programming solution under linear constraint in an electric quantity decomposition optimization model, can quickly decompose medium and long-term contract electric quantity to each day under the condition of a larger model, and simultaneously ensure the balance of the power generation progress of each unit to the maximum extent.
The technical scheme of the invention is as follows:
an electric quantity rolling decomposition engineering method comprises the following steps:
(1) determining a required decomposition time interval and required decomposition electric quantity according to the medium-and-long-term electric quantity contract, acquiring daily load prediction values and daily starting capacity of the unit in a future time interval, and establishing a medium-and-long-term electric quantity decomposition model taking the completion progress balance of the whole network unit as an optimization target;
(2) based on an electric quantity engineering algorithm, taking a daily load predicted value and the medium-long term contract electric quantity of the unit as constraints, considering the daily starting capacity of the unit, decomposing the medium-long term contract of the unit to each day of a required decomposition period, and forming a daily power generation plan;
(3) and (4) rolling and correcting the daily power generation plan of the remaining days of the required decomposition time period according to the deviation electric quantity between the daily power generation plan of the unit and the actual power generation amount.
In the step (1), the required decomposition time interval is a time interval of the medium-long term electricity contract or is manually set; the required decomposed electric quantity is defaulted to contract electric quantity of medium and long term contracts, and can also be manually set; the electric quantity decomposition model takes daily load predicted values, required decomposition electric quantity, unit daily maximum and minimum generated energy and unit contract electric quantity as constraints, and takes load rate balance of the whole network unit as an optimization target.
The step (2) specifically comprises the following steps:
(201) and (3) obtaining an ideal daily power generation plan distributed according to daily load prediction proportions by ideal decomposition: distributing the required decomposition electric quantity of each unit to each day of the required decomposition time period according to the load prediction proportion of each day, and obtaining daily trading electric quantity plan of the unit in the required decomposition time period
Figure BDA0001870508190000021
Figure BDA0001870508190000022
The number of the units containing the next monthly transaction electricity is NG, the number of days of the needed decomposition period is N,
Figure BDA0001870508190000023
the daily power generation plan is a daily power generation plan for decomposing the electric quantity required by the unit i to the t day, wherein the daily power generation plan is an ideal daily power generation plan distributed according to the load proportion, and Q istPredicted electric quantity of the t day of the required decomposition period
Figure BDA0001870508190000024
Q is the total predicted electric quantity of the load in the required decomposition period
Figure BDA0001870508190000025
wiIs the required decomposed electric quantity of the unit i
Figure BDA0001870508190000026
(202) And (3) correcting by considering the unit capacity and the constraint of the required decomposition electric quantity: the daily starting capacity of the unit i in the required decomposition time period is CitThe maximum starting-up capacity of the unit i in the required decomposition period is Ci，Ci＝MAX(Cit) N, then decompose according to ideal electric quantity, unit i needs redistribution because the start-up capacity is few, unit i does not finish the electric quantity
Figure BDA0001870508190000027
Is represented by formula (1):
Figure BDA0001870508190000031
unfinished electric quantity of unit i
Figure BDA0001870508190000032
Distributing the generated energy to each day according to the current generated energy proportion of each day, correcting the generated energy and not completing the electric quantity
Figure BDA0001870508190000033
Generating plan of corrected unit i on t days
Figure BDA0001870508190000034
Comprises the following steps:
Figure BDA0001870508190000035
after the correction of the step (202) is carried out (the unit i is not finished with electric quantity)
Figure BDA0001870508190000036
The generated energy is distributed to each day according to the current generated energy proportion of each day for correction), the monthly transaction electric quantity constraint of each unit can be satisfied, namely, the satisfied formula
Figure BDA0001870508190000037
And the daily load prediction balance constraint is not satisfied, namely, the formula is not satisfied
Figure BDA0001870508190000038
For this purpose, the daily load balance constraint needs to be considered for correction.
(203) And correcting by considering daily load balance constraint:
predicted electric quantity Q of required decomposition time period t daytAnd the sum of the planned power generation of all the units on the day of t days
Figure BDA0001870508190000039
Ratio of (2), scaling equally
Figure BDA00018705081900000310
To obtain
Figure BDA00018705081900000311
Figure BDA00018705081900000312
If it is not
Figure BDA00018705081900000313
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure BDA00018705081900000314
Or
Figure BDA00018705081900000315
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA00018705081900000316
Figure BDA00018705081900000317
After the correction of the step (203), the monthly load balance constraint condition is satisfied, namely, the formula is satisfied
Figure BDA00018705081900000318
The monthly transaction electric quantity constraint of the unit is not satisfied, namely, the unit does not satisfy the formula
Figure BDA00018705081900000319
For which correction is required to be continued.
(204) Will be
Figure BDA00018705081900000320
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA0001870508190000041
Figure BDA0001870508190000042
The new daily power generation plan formed by the above formula can meet the monthly transaction power constraint of each unit, but the daily load balance constraint is not met again
(205) Executing steps (203) and (204) in a circulating sequence, and finally obtaining the final product through n iterations
Figure BDA0001870508190000043
Daily generation plan of unit in required decomposition time period
Figure BDA0001870508190000044
The step (3) specifically comprises the following steps:
(301) within a desired decomposition periodIn actual operation, t0At the end of the day, the t of the unit i0Difference B between daily actual power generation amount and planned power generation amountit0As the deviation electric quantity, the deviation electric quantity Bit0According to t0The daily power generation plan proportion of the next day is distributed to t0Daily power generation schedule for the next day:
Figure BDA0001870508190000045
Witfor a daily generation schedule for the unit for the desired period of decomposition,
Figure BDA0001870508190000046
a daily power generation plan after considering the offset amount of power.
(302) And correcting by considering daily load balance constraint:
all the units obtained based on the daily power generation plan after considering the deviation electric quantity are in t (t is t)0Sum of daily planned power generation on +1 to N) days
Figure BDA0001870508190000047
Predicted electric quantity Q of t days of required decomposition periodtRatio of (2), scaling equally
Figure BDA0001870508190000048
To obtain
Figure BDA0001870508190000049
Figure BDA00018705081900000410
If it is not
Figure BDA00018705081900000411
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure BDA00018705081900000412
Or
Figure BDA00018705081900000413
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA0001870508190000051
Figure BDA0001870508190000052
(303) Then, again, make a correction to
Figure BDA0001870508190000053
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA0001870508190000054
Figure BDA0001870508190000055
(304) The steps (302) and (303) are cycled, and finally the product is obtained through n iterations
Figure BDA0001870508190000056
Reissue to order
Figure BDA0001870508190000057
For unit i at t0Daily power generation schedule for each day.
An electric quantity rolling decomposition engineering system comprises an electric quantity decomposition model establishing unit, an electric quantity engineering algorithm calculating unit and a deviation electric quantity correcting unit;
the electric quantity decomposition model establishing unit determines a required decomposition time period and required decomposition electric quantity according to the medium-long term electric quantity contract, obtains a daily load prediction value and a daily starting capacity of the unit in a future time period, and establishes a medium-long term electric quantity decomposition model;
the electric quantity engineering algorithm computing unit takes a daily load predicted value and the medium-long term contract electric quantity of the unit as constraints based on an electric quantity engineering algorithm, takes the daily starting capacity of the unit into consideration, and decomposes the medium-long term contract of the unit to each day of a required decomposition time period to form a daily power generation plan;
and the deviation electric quantity correction unit is used for rolling and correcting the daily power generation plan of the remaining days of the required decomposition time period according to the deviation electric quantity between the daily power generation plan of the unit and the actual power generation quantity.
The electric quantity engineering algorithm calculation unit specifically comprises the following steps:
(201) and (3) obtaining an ideal daily power generation plan distributed according to daily load prediction proportions by ideal decomposition: distributing the required decomposition electric quantity of each unit to each day of the required decomposition time period according to the load prediction proportion of each day, and obtaining daily trading electric quantity plan of the unit in the required decomposition time period
Figure BDA0001870508190000061
Figure BDA0001870508190000062
The number of the units containing the next monthly transaction electricity is NG, the number of days of the needed decomposition period is N,
Figure BDA0001870508190000063
the daily power generation plan is a daily power generation plan for decomposing the electric quantity required by the unit i to the t day, wherein the daily power generation plan is an ideal daily power generation plan distributed according to the load proportion, and Q istPredicted electric quantity of the t day of the required decomposition period
Figure BDA0001870508190000064
Q is the total predicted electric quantity of the load in the required decomposition period
Figure BDA0001870508190000065
wiIs the required decomposed electric quantity of the unit i
Figure BDA0001870508190000066
(202) Considering the unit capacityAnd correcting the quantity and the constraint of the required decomposition electric quantity: the daily starting capacity of the unit i in the required decomposition time period is CitThe maximum starting-up capacity of the unit i in the required decomposition period is Ci，Ci＝MAX(Cit) N, then decompose according to ideal electric quantity, unit i needs redistribution because the start-up capacity is few, unit i does not finish the electric quantity
Figure BDA0001870508190000067
Is represented by formula (1):
Figure BDA0001870508190000068
unfinished electric quantity of unit i
Figure BDA0001870508190000069
Distributing the generated energy to each day according to the current generated energy proportion of each day, correcting the generated energy and not completing the electric quantity
Figure BDA00018705081900000610
Generating plan of corrected unit i on t days
Figure BDA00018705081900000611
Comprises the following steps:
Figure BDA00018705081900000612
after the correction of the step (202) is carried out (the unit i is not finished with electric quantity)
Figure BDA00018705081900000613
The generated energy is distributed to each day according to the current generated energy proportion of each day for correction), the monthly transaction electric quantity constraint of each unit can be satisfied, namely, the satisfied formula
Figure BDA00018705081900000614
And the daily load prediction balance constraint is not satisfied, namely, the formula is not satisfied
Figure BDA00018705081900000615
For this purpose, the daily load balance constraint needs to be considered for correction.
(203) And correcting by considering daily load balance constraint:
predicted electric quantity Q of required decomposition time period t daytAnd the sum of the planned power generation of all the units on the day of t days
Figure BDA0001870508190000071
Ratio of (2), scaling equally
Figure BDA0001870508190000072
To obtain
Figure BDA0001870508190000073
Figure BDA0001870508190000074
If it is not
Figure BDA0001870508190000075
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure BDA0001870508190000076
Or
Figure BDA0001870508190000077
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA0001870508190000078
Figure BDA0001870508190000079
After the correction of the step (203), the monthly load balance constraint condition is satisfied, namely, the formula is satisfied
Figure BDA00018705081900000710
The monthly transaction electric quantity constraint of the unit is not satisfied, namely, the unit does not satisfy the formula
Figure BDA00018705081900000711
For which correction is required to be continued.
(204) Will be
Figure BDA00018705081900000712
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA00018705081900000713
Figure BDA00018705081900000714
The new daily power generation plan formed by the above formula can meet the monthly transaction power constraint of each unit, but the daily load balance constraint is not met again
(205) The steps (203) and (204) are executed in a circulating sequence, and the result is obtained through n iterations
Figure BDA00018705081900000715
Daily generation plan of unit in required decomposition time period
Figure BDA00018705081900000716
The deviation electric quantity correction unit specifically comprises the following steps:
(301) in actual operation within the desired decomposition period, t is determined0At the end of the day, the t of the unit i0Difference B between daily actual power generation amount and planned power generation amountit0As the deviation electric quantity, the deviation electric quantity Bit0According to t0The daily power generation plan proportion of the next day is distributed to t0Daily power generation schedule for the next day:
Figure BDA00018705081900000717
Witfor a daily generation schedule for the unit for the desired period of decomposition,
Figure BDA0001870508190000081
a daily power generation plan after considering the offset amount of power.
(302) And correcting by considering daily load balance constraint:
all the units obtained based on the daily power generation plan after considering the deviation electric quantity are in t (t is t)0Sum of daily planned power generation on +1 to N) days
Figure BDA0001870508190000082
Predicted electric quantity Q of t days of required decomposition periodtRatio of (2), scaling equally
Figure BDA0001870508190000083
To obtain
Figure BDA0001870508190000084
Figure BDA0001870508190000085
If it is not
Figure BDA0001870508190000086
Not satisfying maximum (M) of unitit) Minimum (m)it) Constraint of power generation amount
Figure BDA0001870508190000087
Or
Figure BDA0001870508190000088
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA0001870508190000089
Figure BDA00018705081900000810
(303) Then, again, make a correction to
Figure BDA00018705081900000811
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA00018705081900000812
Figure BDA00018705081900000813
(304) The steps (302) and (303) are cycled, and finally the product is obtained through n iterations
Figure BDA00018705081900000814
Reissue to order
Figure BDA00018705081900000815
I is the unit i is at t0Daily power generation schedule for each day.
Compared with the prior art, the invention has the beneficial effects that:
the invention discloses an electric quantity rolling decomposition engineering method and system, which avoid the problem of quadratic programming solution under linear constraint in an electric quantity decomposition optimization model, can quickly decompose medium and long term contract electric quantity to each day under the condition of a larger model, and simultaneously ensure the balance of the power generation progress of each unit to the maximum extent; and the incomplete contract electric quantity of the unit can be decomposed to each subsequent day, so that the medium-term and long-term contracts of the unit can be completed.
The method adopts an electric quantity decomposition rolling decomposition engineering method, realizes that the medium-and-long-term contract electric quantity is quickly decomposed to every day under the condition of a larger model, can ensure the balance of the power generation progress of each unit to the maximum extent, and can avoid the problem of non-convergence caused by quadratic programming solution under linear constraint in an electric quantity decomposition optimization model and the problem of cost caused by using a quadratic programming solver; and the decomposition result can be corrected in a rolling manner every day, the unfinished contract electric quantity of the unit is decomposed to each subsequent day, and the medium-term and long-term contracts of the unit can be finished.
Drawings
Fig. 1 is a flow chart of an electric quantity rolling decomposition engineering method according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, an electric quantity rolling decomposition engineering method includes the following steps:
(1) determining a required decomposition time interval and required decomposition electric quantity according to the medium-and-long-term electric quantity contract, acquiring daily load prediction values and daily starting capacity of the unit in a future time interval, and establishing a medium-and-long-term electric quantity decomposition model taking the completion progress balance of the whole network unit as an optimization target;
(2) based on an electric quantity engineering algorithm, taking a daily load predicted value and the medium-long term contract electric quantity of the unit as constraints, considering the daily starting capacity of the unit, decomposing the medium-long term contract of the unit to each day of a required decomposition period, and forming a daily power generation plan;
(3) and (4) rolling and correcting the daily power generation plan of the remaining days of the required decomposition time period according to the deviation electric quantity between the daily power generation plan of the unit and the actual power generation amount.
In the step (1), the required decomposition time interval is a time interval of the medium-long term electricity contract or is manually set; the required decomposed electric quantity is defaulted to contract electric quantity of medium and long term contracts, and can also be manually set; the electric quantity decomposition model takes daily load predicted values, required decomposition electric quantity, unit daily maximum and minimum generated energy and unit contract electric quantity as constraints, and takes load rate balance of the whole network unit as an optimization target.
The step (2) specifically comprises the following steps:
(201) and (3) obtaining an ideal daily power generation plan distributed according to daily load prediction proportions by ideal decomposition: distributing the required decomposition electric quantity of each unit to each day of the required decomposition time period according to the load prediction proportion of each day to obtain the machineDaily plan of trading electric quantity of group daily in required decomposition period
Figure BDA0001870508190000101
Figure BDA0001870508190000102
The number of the units containing the next monthly transaction electricity is NG, the number of days of the needed decomposition period is N,
Figure BDA0001870508190000103
the daily power generation plan is a daily power generation plan for decomposing the electric quantity required by the unit i to the t day, wherein the daily power generation plan is an ideal daily power generation plan distributed according to the load proportion, and Q istPredicted electric quantity of the t day of the required decomposition period
Figure BDA0001870508190000104
Q is the total predicted electric quantity of the load in the required decomposition period
Figure BDA0001870508190000105
wiIs the required decomposed electric quantity of the unit i
Figure BDA0001870508190000106
(202) And (3) correcting by considering the unit capacity and the constraint of the required decomposition electric quantity: the daily starting capacity of the unit i in the required decomposition time period is CitThe maximum starting-up capacity of the unit i in the required decomposition period is Ci，Ci＝MAX(Cit) N, then decompose according to ideal electric quantity, unit i needs redistribution because the start-up capacity is few, unit i does not finish the electric quantity
Figure BDA0001870508190000107
Is represented by formula (1):
Figure BDA0001870508190000108
general unit iUnfinished electric quantity
Figure BDA0001870508190000109
Distributing the generated energy to each day according to the current generated energy proportion of each day, correcting the generated energy and not completing the electric quantity
Figure BDA00018705081900001010
Generating plan of corrected unit i on t days
Figure BDA00018705081900001011
Comprises the following steps:
Figure BDA00018705081900001012
after the correction of the step (202) is carried out (the unit i is not finished with electric quantity)
Figure BDA00018705081900001013
The generated energy is distributed to each day according to the current generated energy proportion of each day for correction), the monthly transaction electric quantity constraint of each unit can be satisfied, namely, the satisfied formula
Figure BDA00018705081900001014
And the daily load prediction balance constraint is not satisfied, namely, the formula is not satisfied
Figure BDA00018705081900001015
For this purpose, the daily load balance constraint needs to be considered for correction.
(203) And correcting by considering daily load balance constraint:
predicted electric quantity Q of required decomposition time period t daytAnd the sum of the planned power generation of all the units on the day of t days
Figure BDA0001870508190000111
Ratio of (2), scaling equally
Figure BDA0001870508190000112
To obtain
Figure BDA0001870508190000113
Figure BDA0001870508190000114
If it is not
Figure BDA0001870508190000115
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure BDA0001870508190000116
Or
Figure BDA0001870508190000117
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA0001870508190000118
Figure BDA0001870508190000119
After the correction of the step (203), the monthly load balance constraint condition is satisfied, namely, the formula is satisfied
Figure BDA00018705081900001110
The monthly transaction electric quantity constraint of the unit is not satisfied, namely, the unit does not satisfy the formula
Figure BDA00018705081900001111
For which correction is required to be continued.
(204) Will be
Figure BDA00018705081900001112
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA00018705081900001113
Figure BDA00018705081900001114
The new daily power generation plan formed by the above formula can meet the monthly transaction power constraint of each unit, but the daily load balance constraint is not met again
(204) Executing steps (203) and (204) in a circulating sequence, and finally obtaining the final product through n iterations
Figure BDA00018705081900001115
Daily generation plan of unit in required decomposition time period
Figure BDA00018705081900001116
The step (3) specifically comprises the following steps:
(301) in actual operation within the desired decomposition period, t0At the end of the day, the t of the unit i0Difference B between daily actual power generation amount and planned power generation amountit0As the deviation electric quantity, the deviation electric quantity Bit0According to t0The daily power generation plan proportion of the next day is distributed to t0Daily power generation schedule for the next day:
Figure BDA0001870508190000121
Witfor a daily generation schedule for the unit for the desired period of decomposition,
Figure BDA0001870508190000122
a daily power generation plan after considering the offset amount of power.
(302) And correcting by considering daily load balance constraint:
all the units obtained based on the daily power generation plan after considering the deviation electric quantity are in t (t is t)0Sum of daily planned power generation on +1 to N) days
Figure BDA0001870508190000123
Predicted electric quantity Q of t days of required decomposition periodtThe ratio of (a) to (b),scaling by equal ratio
Figure BDA0001870508190000124
To obtain
Figure BDA0001870508190000125
Figure BDA0001870508190000126
If it is not
Figure BDA0001870508190000127
Not satisfying maximum (M) of unitit) Minimum (m)it) Constraint of power generation amount
Figure BDA0001870508190000128
Or
Figure BDA0001870508190000129
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA00018705081900001210
Figure BDA00018705081900001211
(303) Then, again, make a correction to
Figure BDA00018705081900001212
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA00018705081900001213
Figure BDA00018705081900001214
(304) The steps (302) and (303) are cycled, and finally the product is obtained through n iterations
Figure BDA00018705081900001215
Reissue to order
Figure BDA00018705081900001216
I is the unit i is at t0Daily power generation schedule for each day.
An electric quantity rolling decomposition engineering system considering the average load rate and contract completion degree of a whole network unit comprises an electric quantity decomposition model establishing unit, an electric quantity engineering algorithm calculating unit and a deviation electric quantity correcting unit;
the electric quantity decomposition model establishing unit determines a required decomposition time period and required decomposition electric quantity according to the medium-long term electric quantity contract, obtains a daily load prediction value and a daily starting capacity of the unit in a future time period, and establishes a medium-long term electric quantity decomposition model;
the electric quantity engineering algorithm computing unit takes a daily load predicted value and the medium-long term contract electric quantity of the unit as constraints based on an electric quantity engineering algorithm, takes the daily starting capacity of the unit into consideration, and decomposes the medium-long term contract of the unit to each day of a required decomposition time period to form a daily power generation plan;
and the deviation electric quantity correction unit is used for rolling and correcting the daily power generation plan of the remaining days of the required decomposition time period according to the deviation electric quantity between the daily power generation plan of the unit and the actual power generation quantity.
The electric quantity engineering algorithm calculation unit specifically comprises the following steps:
(201) and (3) obtaining an ideal daily power generation plan distributed according to daily load prediction proportions by ideal decomposition: distributing the required decomposition electric quantity of each unit to each day of the required decomposition time period according to the load prediction proportion of each day, and obtaining daily trading electric quantity plan of the unit in the required decomposition time period
Figure BDA0001870508190000131
Figure BDA0001870508190000132
The number of the units containing the next monthly transaction electric quantity is NG, the number of days required for the decomposition period is N,
Figure BDA0001870508190000133
the daily power generation plan is a daily power generation plan for decomposing the electric quantity required by the unit i to the t day, wherein the daily power generation plan is an ideal daily power generation plan distributed according to the load proportion, and Q istPredicted electric quantity of the t day of the required decomposition period
Figure BDA0001870508190000134
Q is the total predicted electric quantity of the load in the required decomposition period
Figure BDA0001870508190000135
wiIs the required decomposed electric quantity of the unit i
Figure BDA0001870508190000136
(202) And (3) correcting by considering the unit capacity and the constraint of the required decomposition electric quantity: the daily starting capacity of the unit i in the required decomposition time period is CitThe maximum starting-up capacity of the unit i in the required decomposition period is Ci，Ci＝MAX(Cit) N, then decompose according to ideal electric quantity, unit i needs redistribution because the start-up capacity is few, unit i does not finish the electric quantity
Figure BDA0001870508190000141
Is represented by formula (1):
Figure BDA0001870508190000142
unfinished electric quantity of unit i
Figure BDA0001870508190000143
Distributing the generated energy to each day according to the current generated energy proportion of each day, correcting the generated energy and not completing the electric quantity
Figure BDA0001870508190000144
Generating plan of corrected unit i on t days
Figure BDA0001870508190000145
Comprises the following steps:
Figure BDA0001870508190000146
after the correction of the step (202) is carried out (the unit i is not finished with electric quantity)
Figure BDA0001870508190000147
The generated energy is distributed to each day according to the current generated energy proportion of each day for correction), the monthly transaction electric quantity constraint of each unit can be satisfied, namely, the satisfied formula
Figure BDA0001870508190000148
And the daily load prediction balance constraint is not satisfied, namely, the formula is not satisfied
Figure BDA0001870508190000149
For this purpose, the daily load balance constraint needs to be considered for correction.
(203) And correcting by considering daily load balance constraint:
predicted electric quantity Q of required decomposition time period t daytAnd the sum of the planned power generation of all the units on the day of t days
Figure BDA00018705081900001410
Ratio of (2), scaling equally
Figure BDA00018705081900001411
To obtain
Figure BDA00018705081900001412
Figure BDA00018705081900001413
If it is not
Figure BDA00018705081900001414
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure BDA00018705081900001415
Or
Figure BDA00018705081900001416
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA00018705081900001417
Figure BDA00018705081900001418
After the correction of the step (203), the monthly load balance constraint condition is satisfied, namely, the formula is satisfied
Figure BDA00018705081900001419
The monthly transaction electric quantity constraint of the unit is not satisfied, namely, the unit does not satisfy the formula
Figure BDA0001870508190000151
For which correction is required to be continued.
(204) Will be
Figure BDA0001870508190000152
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA0001870508190000153
Figure BDA0001870508190000154
The new daily power generation plan formed by the above formula can meet the monthly transaction power constraint of each unit, but the daily load balance constraint is not met again
(205) Executing steps (203) and (204) in a circulating sequence, and finally obtaining the final product through n iterations
Figure BDA0001870508190000155
Daily generation plan of unit in required decomposition time period
Figure BDA0001870508190000156
The deviation electric quantity correction unit specifically comprises the following steps:
(301) in actual operation within the desired decomposition period, t0At the end of the day, the t of the unit i0Difference B between daily actual power generation amount and planned power generation amountit0As the deviation electric quantity, the deviation electric quantity Bit0According to t0The daily power generation plan proportion of the next day is distributed to t0Daily power generation schedule for the next day:
Figure BDA0001870508190000157
Witfor a daily generation schedule for the unit for the desired period of decomposition,
Figure BDA0001870508190000158
a daily power generation plan after considering the offset amount of power.
(302) And (3) correcting by considering the daily load balance constraint:
all the units obtained based on the daily power generation plan after considering the deviation electric quantity are in t (t is t)0Sum of daily planned power generation on +1 to N) days
Figure BDA0001870508190000159
Predicted electric quantity Q of t days of required decomposition periodtRatio of (2), scaling equally
Figure BDA00018705081900001510
To obtain
Figure BDA00018705081900001511
Figure BDA00018705081900001512
If it is not
Figure BDA0001870508190000161
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure BDA0001870508190000162
Or
Figure BDA0001870508190000163
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure BDA0001870508190000164
Figure BDA0001870508190000165
(303) Again, make a correction to
Figure BDA0001870508190000166
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure BDA0001870508190000167
Figure BDA0001870508190000168
(304) The steps (302) and (303) are cycled, and finally the product is obtained through n iterations
Figure BDA0001870508190000169
Reissue to order
Figure BDA00018705081900001610
I is the unit i is at t0Daily power generation schedule for each day.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules or units or groups of devices in the examples disclosed herein may be arranged in a device as described in this embodiment, or alternatively may be located in one or more devices different from the devices in this example. The modules in the foregoing examples may be combined into one module or may be further divided into multiple sub-modules.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. Modules or units or groups in embodiments may be combined into one module or unit or group and may furthermore be divided into sub-modules or sub-units or sub-groups. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Furthermore, some of the described embodiments are described herein as a method or combination of method elements that can be performed by a processor of a computer system or by other means of performing the described functions. A processor having the necessary instructions for carrying out the method or method elements thus forms a means for carrying out the method or method elements. Further, the elements of the apparatus embodiments described herein are examples of the following apparatus: the apparatus is used to implement the functions performed by the elements for the purpose of carrying out the invention.
The various techniques described herein may be implemented in connection with hardware or software or, alternatively, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium, wherein, when the program is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention.
In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. Wherein the memory is configured to store program code; the processor is configured to perform the method of the invention according to instructions in said program code stored in the memory.
By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer-readable media includes both computer storage media and communication media. Computer storage media store information such as computer readable instructions, data structures, program modules or other data. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. Combinations of any of the above are also included within the scope of computer readable media.
As used herein, unless otherwise specified the use of the ordinal adjectives "first", "second", "third", etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention. The above is only a preferred embodiment of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.

Claims (7)

1. An electric quantity rolling decomposition engineering method is characterized by comprising the following steps:
(1) determining a required decomposition time interval and required decomposition electric quantity according to the medium-and-long-term electric quantity contract, acquiring daily load prediction values and daily starting capacity of the unit in a future time period, and establishing a medium-and-long-term electric quantity decomposition model;
(2) based on an electric quantity engineering algorithm, taking a daily load predicted value and the medium-long term contract electric quantity of the unit as constraints, considering the daily starting capacity of the unit, and decomposing the medium-long term contract of the unit to each day of a required decomposition period to form a daily power generation plan;
(3) and (4) rolling and correcting the daily power generation plan of the remaining days of the required decomposition time period according to the deviation electric quantity between the daily power generation plan of the unit and the actual power generation amount.
2. The method of claim 1, wherein the step of rolling decomposition of electric quantity comprises,
and (3) the medium-and-long-term electricity decomposition model in the step (1) takes daily load predicted values, required decomposed electricity, daily maximum and minimum electricity generation of the unit and contract electricity of the unit as constraints and takes load rate balance of the whole network unit as an optimization target.
3. The method of claim 1, wherein the step of rolling decomposition of electric quantity comprises,
the step (2) specifically comprises the following steps:
(201) distributing the required decomposition electric quantity of each unit to each day of the required decomposition time period according to the load prediction proportion of each day, and obtaining daily trading electric quantity plan of the unit in the required decomposition time period
Figure FDA0001870508180000012
Figure FDA0001870508180000011
The number of the units containing the next monthly transaction electricity is NG, the number of days of the needed decomposition period is N,
Figure FDA0001870508180000013
the ideal day power generation plan is that the power required by the unit i is decomposed to the t day, the ideal day power generation plan is distributed according to the load proportion, and QtPredicted electric quantity of the t day of the required decomposition period
Figure FDA0001870508180000014
Q is the total predicted electric quantity of the load in the required decomposition period
Figure FDA0001870508180000015
wiIs the required decomposed electric quantity of the unit i
Figure FDA0001870508180000016
(202) And (3) correcting by considering the unit capacity and the constraint of the required decomposition electric quantity: the daily starting capacity of the unit i in the required decomposition time period is CitThe maximum starting-up capacity of the unit i in the required decomposition period is Ci，Ci＝MAX(Cit) N, then decompose according to ideal electric quantity, unit i needs redistribution because the start-up capacity is few, unit i does not finish the electric quantity
Figure FDA0001870508180000017
Is represented by formula (1):
Figure FDA0001870508180000021
unfinished electric quantity of unit i
Figure FDA0001870508180000026
Distributing the generated energy to each day according to the current generated energy proportion of each day, correcting, and not completing the electric quantity
Figure FDA0001870508180000027
Generating plan of corrected unit i on t days
Figure FDA0001870508180000028
Comprises the following steps:
Figure FDA0001870508180000022
(203) and correcting by considering daily load balance constraint:
required decompositionPredicted electric quantity Q in time period t daytAnd the sum of the planned power generation of all the units on the day of t days
Figure FDA0001870508180000029
Ratio of (2), scaling equally
Figure FDA00018705081800000210
To obtain
Figure FDA00018705081800000211
Figure FDA0001870508180000023
If it is not
Figure FDA00018705081800000212
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure FDA00018705081800000213
Or
Figure FDA00018705081800000214
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure FDA00018705081800000215
Figure FDA0001870508180000024
(204) Will be
Figure FDA00018705081800000216
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure FDA00018705081800000217
Figure FDA0001870508180000025
(205) The steps (203) and (204) are executed in a circulating sequence, and the result is obtained through n iterations
Figure FDA00018705081800000218
Daily generation plan of unit in required decomposition time period
Figure FDA00018705081800000219
4. The method of claim 1, wherein the step of rolling decomposition of electric quantity comprises,
the step (3) specifically comprises the following steps:
(301) in actual operation within the desired decomposition period, t0At the end of the day, the t of the unit i0Difference B between daily actual power generation amount and planned power generation amountit0As the deviation electric quantity, the deviation electric quantity Bit0According to t0The daily power generation plan proportion of the next day is distributed to t0Daily power generation schedule for the next day:
Figure FDA0001870508180000031
Witfor a daily generation schedule for the unit for the desired period of decomposition,
Figure FDA0001870508180000032
a daily power generation plan after considering the deviation electric quantity;
(302) and (3) correcting by considering the daily load balance constraint:
all the units obtained based on the daily power generation plan after considering the deviation electric quantity are in t (t is t)0Sum of daily planned power generation on +1 to N) days
Figure FDA0001870508180000036
Predicted electric quantity Q of t days of required decomposition periodtRatio of (2), scaling equally
Figure FDA0001870508180000037
To obtain
Figure FDA0001870508180000038
Figure FDA0001870508180000033
If it is not
Figure FDA0001870508180000039
Unsatisfied maximum power generation constraint M of unititOr a minimum power generation constraint mitLet us order
Figure FDA00018705081800000310
Or
Figure FDA00018705081800000311
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure FDA0001870508180000034
Figure FDA0001870508180000035
(303) Will be provided with
Figure FDA0001870508180000042
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure FDA0001870508180000043
Figure FDA0001870508180000041
The steps of (303) and (304) are circulated, and finally, the product is obtained through n iterations
Figure FDA0001870508180000045
Order to
Figure FDA0001870508180000044
(t>t0) For unit i at t0Daily power generation schedule for each day.
5. An electric quantity rolling decomposition engineering system is characterized in that,
the method comprises an electric quantity decomposition model establishing unit, an electric quantity engineering algorithm calculating unit and a deviation electric quantity correcting unit;
the electric quantity decomposition model establishing unit determines a required decomposition time period and required decomposition electric quantity according to the medium-long term electric quantity contract, obtains a daily load prediction value and a daily starting capacity of the unit in a future time period, and establishes a medium-long term electric quantity decomposition model;
the electric quantity engineering algorithm computing unit takes a daily load predicted value and the medium-long term contract electric quantity of the unit as constraints based on an electric quantity engineering algorithm, takes the daily starting capacity of the unit into consideration, and decomposes the medium-long term contract of the unit to each day of a required decomposition time period to form a daily power generation plan;
and the deviation electric quantity correction unit is used for rolling and correcting the daily power generation plan of the remaining days of the required decomposition time period according to the deviation electric quantity between the daily power generation plan of the unit and the actual power generation quantity.
6. The system of claim 5, wherein the power rolling decomposition engineering system,
the electric quantity engineering algorithm calculation unit specifically comprises the following steps:
(201) and (3) obtaining an ideal daily power generation plan distributed according to daily load prediction proportions by ideal decomposition: will be provided withDistributing the required decomposition electric quantity of each unit to each day of the required decomposition time period according to the load prediction proportion of each day, and obtaining daily trading electric quantity plan of the unit in the required decomposition time period
Figure FDA0001870508180000055
Figure FDA0001870508180000051
The number of the units containing the next monthly transaction electricity is NG, the number of days of the needed decomposition period is N,
Figure FDA0001870508180000056
the daily power generation plan is a daily power generation plan for decomposing the electric quantity required by the unit i to the t day, wherein the daily power generation plan is an ideal daily power generation plan distributed according to the load proportion, and Q istPredicted electric quantity of the t day of the required decomposition period
Figure FDA0001870508180000057
Q is the total predicted electric quantity of the load in the required decomposition period
Figure FDA0001870508180000058
wiIs the required decomposed electric quantity of the unit i
Figure FDA0001870508180000059
(202) And (3) correcting by considering the unit capacity and the constraint of the required decomposition electric quantity: the daily starting capacity of the unit i in the required decomposition time period is CitThe maximum starting-up capacity of the unit i in the required decomposition period is Ci，Ci＝MAX(Cit) N, then decompose according to ideal electric quantity, unit i needs redistribution because the start-up capacity is few, unit i does not finish the electric quantity
Figure FDA00018705081800000510
Is represented by formula (1):
Figure FDA0001870508180000052
unfinished electric quantity of unit i
Figure FDA00018705081800000511
Distributing the generated energy to each day according to the current generated energy proportion of each day, correcting the generated energy and not completing the electric quantity
Figure FDA00018705081800000512
Generating plan of corrected unit i on t days
Figure FDA00018705081800000513
Comprises the following steps:
Figure FDA0001870508180000053
(203) and correcting by considering daily load balance constraint:
predicted electric quantity Q of required decomposition time period t daytAnd the sum of the planned power generation of all the units on the day of t days
Figure FDA00018705081800000514
Ratio of (2), scaling equally
Figure FDA00018705081800000515
To obtain
Figure FDA00018705081800000516
Figure FDA0001870508180000054
If it is not
Figure FDA0001870508180000065
Not meeting the maximum power of the unitElectric quantity constraint MitOr a minimum power generation constraint mitLet us order
Figure FDA0001870508180000066
Or
Figure FDA0001870508180000067
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure FDA0001870508180000068
Figure FDA0001870508180000061
(204) Will be
Figure FDA0001870508180000069
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure FDA00018705081800000610
Figure FDA0001870508180000062
(205) The steps (203) and (204) are executed in a circulating sequence, and the result is obtained through n iterations
Figure FDA00018705081800000611
Daily generation plan of unit in required decomposition time period
Figure FDA00018705081800000612
7. The system of claim 5, wherein the power rolling decomposition engineering system,
the deviation electric quantity correction unit specifically comprises the following steps:
(301) in actual operation within the desired decomposition period, t0At the end of the day, the t of the unit i0Difference B between daily actual power generation amount and planned power generation amountit0As the deviation electric quantity, the deviation electric quantity Bit0According to t0The daily power generation plan proportion of the next day is distributed to t0Daily power generation schedule for the next day:
Figure FDA0001870508180000063
Witfor a daily generation schedule for the unit for the desired period of decomposition,
Figure FDA0001870508180000064
a daily power generation plan after considering the deviation electric quantity;
(302) and correcting by considering daily load balance constraint:
all the units obtained based on the daily power generation plan after considering the deviation electric quantity are in t (t is t)0Sum of daily planned power generation on +1 to N) days
Figure FDA00018705081800000613
Predicted electric quantity Q of t days of required decomposition periodtRatio of (2), scaling equally
Figure FDA0001870508180000074
To obtain
Figure FDA0001870508180000075
Figure FDA0001870508180000071
If it is not
Figure FDA0001870508180000076
Not meeting the maximum power generation constraint of the unit (M)itOr a minimum power generation amountBundle mitConstraint of power generation amount
Figure FDA0001870508180000077
Or
Figure FDA0001870508180000078
Obtaining the difference between the daily generation schedule sum and monthly transaction electric quantity of each unit
Figure FDA0001870508180000079
Figure FDA0001870508180000072
(303) Will be
Figure FDA00018705081800000710
Distributing the generated energy to the daily power generation plans of the units according to the current daily power generation proportion to obtain
Figure FDA00018705081800000711
Figure FDA0001870508180000073
(304) The steps (302) and (303) are circulated and are obtained through n times of iteration
Figure FDA00018705081800000713
Order to
Figure FDA00018705081800000712
(t>t0) For unit i at t0Daily power generation schedule for each day.
CN201811375226.4A 2018-11-19 2018-11-19 Electric quantity rolling decomposition engineering method and system Withdrawn CN111199324A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112149882A (en) * 2020-09-04 2020-12-29 深圳供电局有限公司 Power grid medium and long term load prediction management system
CN113240546A (en) * 2021-05-11 2021-08-10 国网湖南省电力有限公司 Monthly scheduling method for units in dense hydropower region
CN113627724A (en) * 2021-07-02 2021-11-09 江苏能电科技有限公司 Method and device for reasonably distributing electric quantity, storage medium and solar street lamp equipment

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112149882A (en) * 2020-09-04 2020-12-29 深圳供电局有限公司 Power grid medium and long term load prediction management system
CN113240546A (en) * 2021-05-11 2021-08-10 国网湖南省电力有限公司 Monthly scheduling method for units in dense hydropower region
CN113240546B (en) * 2021-05-11 2022-05-20 国网湖南省电力有限公司 Monthly scheduling method for units in dense hydropower region
CN113627724A (en) * 2021-07-02 2021-11-09 江苏能电科技有限公司 Method and device for reasonably distributing electric quantity, storage medium and solar street lamp equipment
CN113627724B (en) * 2021-07-02 2024-04-05 江苏能电科技有限公司 Method and device for reasonably distributing electric quantity, storage medium and solar street lamp equipment

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