CN103745278B - It is a kind of to consider three public progresses and the medium-term and long-term Transaction algorithm method of purchases strategies - Google Patents
It is a kind of to consider three public progresses and the medium-term and long-term Transaction algorithm method of purchases strategies Download PDFInfo
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Abstract
The present invention provides a kind of public progresses of consideration three and the medium-term and long-term Transaction algorithm method of purchases strategies, including：Step 1, three public progress restricted models are set up, the three public schedule variance restricted model is the deviation for the three public public progresses of progress and ideal three for meeting each unit in given range；Step 2, the production run restricted model of unit is set up；Step 3, consider the different rates for incorporation into the power network of different units, set up purchases strategies target function model of the unit in multiple optimization months, the purchases strategies object module is to make all units minimum in multiple optimization months total purchase costs, calculates the value for meeting the purchases strategies object modules that three public schedule variances constraints and production run are constrained.Long-term Transaction algorithm method in one kind that the present invention is provided, the problem of three public progresses are contradicted with purchases strategies in long-term Transaction algorithm establishment in solution while making three public affairs schedule requirement of Transaction algorithm satisfaction, reduces purchases strategies as far as possible.
Description
Technical field
The present invention relates to field of electric power automation, and in particular to the medium-term and long-term purchase of a kind of public progress of consideration three and purchases strategies
Electric method of planning.
Background technology
The medium-term and long-term electricity planning of each province of current China must is fulfilled for three public requirements, i.e., the year of each unit is substantially electric
Measure schedule and keep basically identical.Due to a variety of causes, the rate for incorporation into the power network of different units is simultaneously differed, but year is substantially electric
It is that economic and commercial committee issues that gauge, which is drawn, and the year basic electricity plan of unit does not have linear relationship with its rate for incorporation into the power network.If according to
The minimum target call of purchases strategies, low-cost unit should generate electricity more, but the constraint of three public demands often with power purchase into
Originally contradict, planning in addition needs unified electric quantity balancing, the completion electricity of all units for considering annual multiple months
Situation etc., planning procedure is complicated, in actual medium-term and long-term plans compilation process, it is difficult to be obtained meeting three public schedule requirements
The optimization of purchases strategies can also be taken into account simultaneously.
The content of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of medium-term and long-term power purchase meter for considering three public progresses and purchases strategies
The method of drawing, including：
Step 1, three public progress restricted models are set up, described three public schedule variance restricted models are meet each unit three
The deviation of public progress and the public progress of ideal three is in given range；
Step 2, the production run restricted model of unit is set up；
Step 3, it is considered to the different rates for incorporation into the power network of different units, sets up purchases strategies mesh of the unit in multiple optimization months
Offer of tender exponential model, the purchases strategies object module is all units is optimized the purchase for completing electricity in month in multiple purchases strategies
Buy cost minimization；
Calculate the value for meeting the purchases strategies object module that described three public schedule variance constraints and production run are constrained.
In the first preferred embodiment that the present invention is provided：Three public schedule variance restricted models are described in the step 1：
Wherein, FE (i, mon) represents completion electricity of the unit i in past some month mon, and PE (i, mon) is represented
Plan electricity of the unit i in month mon, PM represents the last month in current planning month；ContractEnergy (i) represents unit i
Annual contract amount；SP (mon) represents the ideal model of three public progresses, the maximum deflection difference value of the public progresses of Poffset tri-；
The ideal model SP (mon) of the three public progresses is：
Wherein, LE (mon) represents load prediction demands of the unit i in mon months；I represents unit sum.
In the second preferred embodiment that the present invention is provided：Consider that the various production and operation conditions of system are built in the step 2
The vertical production run restricted model, the production and operation condition includes system charge balance, the peak load rate of unit, machine
Ratio of minimum load to maximum load, unit maintenance situation and the unit output of group are obstructed situation.
In the third preferred embodiment that the present invention is provided：The system charge Constraints of Equilibrium model is：
In the 4th preferred embodiment that the present invention is provided：The ratio of minimum load to maximum load constraints conversion of the unit be minimum amount of power about
Beam, the minimum amount of power restricted model of the unit is：
PE(i,mon)≥Ri(i,mon)*MinEng(i,mon) （4）
Wherein, MinEng (i, mon) represents minimum amount of power of the unit i in mon months；Ri(i, mon) represents that unit i exists
The start and stop state in mon months, 0 represents to shut down, and 1 represents start.When unit load rate is too low, then it must shut down, it is to avoid unit
The uneconomical operation of low level.
In the 5th preferred embodiment that the present invention is provided：Peak load rate, unit maintenance and the unit output of the unit
Constraint of being obstructed is converted into the maximum Constraint of unit, for avoiding the operating load of unit excessive, allows system to leave standby
Space, the maximum Constraint model of the unit is：
PE(i,mon)≤Ri(i,mon)*MaxEng(i,mon) （5）
Wherein, MaxEng (i, mon) represents maximum electricity of the unit i in mon months.
In the 6th preferred embodiment that the present invention is provided：In the step 3, the purchases strategies object module is：
C represents purchases strategies, and Pr (i, base) represents unit i basic electricity price lattice；SM represents purchases strategies optimization starting
Month；EM represents that purchases strategies optimization terminates month.
8th, the method as described in claim 1, it is characterised in that COMPLEX is applied in the calculating process in the step 3
Commercial algorithm bag, optimizes calculating using mixed integer programming approach, obtains prioritization scheme.
A kind of public progress of consideration three and the medium-term and long-term Transaction algorithm method of purchases strategies that the present invention is provided, relative to most connecing
The beneficial effect of near prior art includes：
1st, the present invention is provided a kind of public progress of consideration three and the medium-term and long-term Transaction algorithm method of purchases strategies, it is proposed that one
The minimum purchases strategies computational methods for considering three public progresses constraints are planted, three public affairs progresses and purchase in long-term Transaction algorithm establishment in solution
The problem of electric cost is contradicted, while making Transaction algorithm three public schedule requirement of satisfaction, reduces purchases strategies as far as possible.
2nd, actual production demand is taken into full account, three public schedule variance scopes can arbitrarily be set, purchases strategies in optimization aim
Starting, terminate can arbitrarily set in month, planning person can by change parameter formulate meet current month purchases strategies
Minimum, this season purchases strategies are minimum and minimum many set power purchase schemes of purchases strategies then.
3rd, the minimax rate of load condensate requirement of unit in actual production is taken into full account, the negative of unit is controlled in planning
Lotus rate is in allowed limits, it is to avoid the uneconomic low level operation of unit and the run at high level for not considering system reserve.
Brief description of the drawings
A kind of public progress of consideration three and the medium-term and long-term Transaction algorithm method of purchases strategies provided as shown in Figure 1 for the present invention
Flow chart.
Embodiment
The embodiment of the present invention is described in further detail below according to accompanying drawing.
The present invention provides a kind of public progresses of consideration three and the medium-term and long-term Transaction algorithm method of purchases strategies, is purchased for a long time in solution
The problem of three public progresses are contradicted with purchases strategies in electric planning, while making Transaction algorithm three public schedule requirement of satisfaction,
Purchases strategies, this method flow chart are reduced as far as possible as shown in figure 1, as shown in Figure 1, this method includes：
Step 1, three public progress restricted models are set up, the three public schedule variance restricted model is three public affairs for meeting each unit
The deviation of progress and the public progress of ideal three is in given range.
Step 2, the production run restricted model of unit is set up.
Step 3, it is considered to the different rates for incorporation into the power network of different units, sets up purchases strategies mesh of the unit in cost optimization month
Offer of tender exponential model, the purchases strategies object module is the purchase cost for making all units complete electricity in multiple cost optimization months
Minimum, calculates the value for meeting the purchases strategies object module that three public schedule variance constraints and production run are constrained.
Further, in step 1, three public schedule variance restricted models are：
Wherein, FE (i, mon) represents completion electricity of the unit i in past some month mon, and PE (i, mon) is represented
Plan electricity of the unit i in month mon, PM represents the last month in current planning month；ContractEnergy (i) represents unit i
Annual contract amount；SP (mon) represents the ideal model of three public progresses, the maximum deflection difference value of the public progresses of Poffset tri-.
The ideal model SP (mon) of three public progresses is：
Wherein, LE (mon) represents load prediction demands of the unit i in mon months；I represents unit sum.
The production run restricted model that the various production and operation conditions of system are set up, production and operation condition are considered in step 2
It is obstructed including system charge balance, the peak load rate of unit, the ratio of minimum load to maximum load of unit, unit maintenance situation and unit output
Situation.
Specifically, system charge Constraints of Equilibrium model is：
The ratio of minimum load to maximum load constraint of unit can be converted to minimum amount of power constraint, when unit load rate is too low, then necessary
Shut down, it is to avoid the uneconomical operation of unit low level, the minimum amount of power restricted model of unit is：
PE(i,mon)≥Ri(i,mon)*MinEng(i,mon) （4）
MinEng (i, mon) represents minimum amount of power of the unit i in mon months；Ri(i, mon) represents unit i in mon months
Start and stop state, 0 represent shut down, 1 represent start.
The constraint such as be obstructed of the peak load rate of unit, unit maintenance constraint and unit output can be converted to unit most
Big Constraint, for avoiding the operating load of unit excessive, allows system to leave certain spare space, the maximum electricity of unit
Restricted model is：
PE(i,mon)≤Ri(i,mon)*MaxEng(i,mon) （5）
MaxEng (i, mon) represents maximum electricity of the unit i in mon months.
In step 3, purchases strategies object module is：
C represents purchases strategies, and Pr (i, base) represents unit i basic electricity price lattice；SM represents purchases strategies optimization starting
Month；EM represents that purchases strategies optimization terminates month.
Calculated according to object module and constraints, the voltameter of scheme of arrangement month and follow-up every unit of each month
Draw.Using the commercial algorithm bags of COMPLEX in calculating process, calculating is optimized using mixed integer programming approach, optimization side is obtained
Case.
Finally it should be noted that：The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
The present invention is described in detail with reference to above-described embodiment for pipe, those of ordinary skills in the art should understand that：Still
The embodiment of the present invention can be modified or equivalent substitution, and without departing from any of spirit and scope of the invention
Modification or equivalent substitution, it all should cover among scope of the presently claimed invention.
Claims (2)
1. a kind of consider three public progresses and the medium-term and long-term Transaction algorithm method of purchases strategies, it is characterised in that methods described includes：
Step 1, set up three public progress restricted models, described three public progress restricted models be meet three public progresses of each unit with
The deviation of the public progress of ideal three is in given range；
Step 2, the production run restricted model of unit is set up；
Step 3, it is considered to the different rates for incorporation into the power network of different units, sets up purchases strategies target mould of the unit in multiple optimization months
Type, the purchases strategies object module is that the purchase cost for making all units complete electricity in the multiple optimization month is minimum；
Calculate the value for meeting the purchases strategies object module that three public schedule variance constraints and production run are constrained；
Three public progress restricted models are described in the step 1：
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Wherein, FE (i, mon) represents completion electricity of the unit i in past some month mon, and PE (i, mon) represents unit i
In the plan electricity in month mon, PM represents the last month in current planning month；ContractEnergy (i) represents unit i year
Contracted quantity；SP (mon) represents the ideal model of three public progresses, the maximum deflection difference value of the public progresses of Poffset tri-；
The ideal model SP (mon) of the three public progresses is：
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Wherein, LE (mon) represents load prediction demands of the unit i in mon months；I represents unit sum；
The production run restricted model that the various production and operation conditions of system are set up, the production are considered in the step 2
Service condition includes system charge balance, the peak load rate of unit, the ratio of minimum load to maximum load of unit, unit maintenance situation and unit
Output defeat situation；
System charge Constraints of Equilibrium model is：
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The ratio of minimum load to maximum load constraints conversion of the unit constrains for minimum amount of power, and the minimum amount of power restricted model of the unit is：
PE(i,mon)≥Ri(i,mon)*MinEng(i,mon) (4)
Wherein, MinEng (i, mon) represents minimum amount of power of the unit i in mon months；Ri(i, mon) represents unit i in mon months
Start and stop state, 0 represent shut down, 1 represent start；
Peak load rate, unit maintenance and the unit output of the unit, which are obstructed, constrains the maximum electricity for being converted into unit about
Beam, for avoiding the operating load of unit excessive, allows system to leave spare space, the maximum Constraint model of the unit
For：
PE(i,mon)≤Ri(i,mon)*MaxEng(i,mon) (5)
Wherein, MaxEng (i, mon) represents maximum electricity of the unit i in mon months；
In the step 3, the purchases strategies object module is：
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C represents purchases strategies, and Pr (i, base) represents unit i basic electricity price lattice；SM represents purchases strategies optimization starting month；
EM represents that purchases strategies optimization terminates month.
2. the method as described in claim 1, it is characterised in that commercial using COMPLEX in the calculating process in the step 3
Algorithm bag, optimizes calculating using mixed integer programming approach, obtains prioritization scheme.
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| CN103955776B (en) * | 2014-05-14 | 2017-02-22 | 国家电网公司 | Method for optimizing interprovincial and interregional transaction based on physical route optimization |
| CN104715289B (en) * | 2015-03-16 | 2017-11-21 | 广东电网有限责任公司电力调度控制中心 | Preferably generating progress indicator determines method and device for power plant |
| CN105260846B (en) * | 2015-10-21 | 2020-01-17 | 中国电力科学研究院 | Rationality evaluation method for power system scheduling strategy |
| CN108346112B (en) * | 2017-12-29 | 2022-01-18 | 广州亦云信息技术股份有限公司 | Medium and long term transaction electric quantity decomposition method, system, electronic equipment and storage medium |
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