CN103745278A - Medium and long term electricity purchase planning method capable of considering three-public-service-related consumption schedule and electricity purchase cost - Google Patents

Abstract

The invention provides a medium and long term electricity purchase planning method capable of considering a three-public-service-related consumption schedule and the electricity purchase cost. The method comprises the steps of 1, building a three-public-service-related consumption schedule constraint model which is capable of meeting the condition that the deviation between the three-public-service-related consumption schedule of each unit and an ideal three-public-service-related consumption schedule is in a given range; 2, building a production run constraint model of each unit; 3, considering different grid purchase prices of different units, building an electricity purchase cost objective function model of the units at a plurality of optimizing months, and calculating the value, meeting the three-public-service-related consumption schedule deviation constraint and the production run constraint, of the electricity purchase cost objective function model, wherein the electricity purchase cost objective function model enables the purchase cost of all units at the optimizing months to be minimum. By using the medium and long term electricity purchase planning method, the problem that the three-public-service-related consumption schedule contradicts with the electricity purchase cost in the medium and long term electricity purchase planning is solved, the electricity purchase plan meets the three-public-service-related consumption schedule requirements, and the electricity purchase cost is reduced as far as possible.

Description

The medium-term and long-term power purchase method of planning of a kind of consideration three public progresses and power purchase cost

Technical field

The present invention relates to power automation field, be specifically related to the medium-term and long-term power purchase method of planning of a kind of consideration three public progresses and power purchase cost.

Background technology

The medium-term and long-term electric weight planning of China each province at present must meet three public requirements, and the basic electric weight schedule maintenance of the year of each unit is basically identical.Due to a variety of causes, the rate for incorporation into the power network of different units is not identical, but basic electric weight plan of year is that economic and commercial committee issues, and basic electric weight plan of year and its rate for incorporation into the power network of unit do not have linear relationship.If according to the minimum target call of power purchase cost, the low unit of price should multiple electricity, but the constraint of three public demands often contradicts with power purchase cost, in addition planning need to unify to consider the electric weight situation etc. that completes of the electric quantity balancing in annual multiple months, all units, planning process complexity, in actual medium-term and long-term plans compilation process, be difficult to obtain the optimization that can also take into account power purchase cost simultaneously in satisfied three public schedule requirements.

Summary of the invention

The present invention is directed to the deficiencies in the prior art, the medium-term and long-term power purchase method of planning of a kind of consideration three public progresses and power purchase cost be provided, comprising:

Step 1, sets up three public progress restricted models, described three public schedule variance restricted models be meet each unit three public progresses with the deviation of desirable three public progresses in given range;

Step 2, sets up the production run restricted model of unit;

Step 3, considers the different rate for incorporation into the power network of different units, sets up unit at the power purchase cost objective function models in multiple optimization month, and described power purchase cost objective model is to make all units in multiple power purchase cost optimization months, complete the purchase cost minimum of electric weight;

Calculating meets the value of the described power purchase cost objective model of described three public schedule variance constraints and production run constraint.

In the first preferred embodiment provided by the invention: described in described step 1, three public schedule variance restricted models are:

$\mathrm{SP}\left(\mathrm{mon}\right)-\mathrm{Poffset}<\left[\underset{\mathrm{mon}=1}{\overset{\mathrm{mon}\&le;\mathrm{PM}}{\mathrm{\&Sigma;}}}\mathrm{FE}\right(i,\mathrm{mon})+\underset{\mathrm{mon}=\mathrm{PM}+1}{\overset{12}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon}\left)\right]/\mathrm{ContractEnergy}\left(i\right)<\mathrm{SP}\left(\mathrm{mon}\right)+\mathrm{Poffset}---\left(1\right)$

Wherein, what FE (i, mon) represented unit i certain month mon in the past completes electric weight, and PE (i, mon) represents the plan electric weight of unit i at month mon, and PM represents the last month in current planning month; ContractEnergy (i) represents the annual contract amount of unit i; SP (mon) represents the ideal model of three public progresses, the maximum deflection difference value of Poffset tri-public progresses;

The ideal model SP (mon) of described three public progresses is:

$\mathrm{SP}\left(\mathrm{mon}\right)=\left[\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\underset{\mathrm{mon}=1}{\overset{\mathrm{mon}\&le;\mathrm{PM}}{\mathrm{\&Sigma;}}}\mathrm{FE}\right(i,\mathrm{mon})+\underset{\mathrm{mon}=\mathrm{PM}+1}{\overset{\mathrm{mon}}{\mathrm{\&Sigma;}}}\mathrm{LE}(\mathrm{mon}\left)\right]/\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\mathrm{ContractEnergy}\left(i\right)---\left(2\right)$

Wherein, LE (mon) represents the load prediction demand of unit i in mon month; I represents unit sum.

In the second preferred embodiment provided by the invention: the described production run restricted model that in described step 2, the various production and operation conditions of taking into account system are set up, described production and operation condition comprises ratio of minimum load to maximum load, unit maintenance situation and the unit output of peak load rate, the unit of system electric quantity balancing, the unit situation of being obstructed.

In the 3rd preferred embodiment provided by the invention: described system electric quantity balancing restricted model is:

$\mathrm{LE}\left(\mathrm{mon}\right)=\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon})---\left(3\right).$

In the 4th preferred embodiment provided by the invention: the ratio of minimum load to maximum load constraints conversion of described unit is minimum amount of power constraint, and the minimum amount of power restricted model of described unit is:

PE(i,mon)≥R _i(i,mon)*MinEng(i,mon) （4）

Wherein, MinEng (i, mon) represents the minimum amount of power of unit i in mon month; R _i(i, mon) expression unit i is at the start and stop state in mon month, and 0 represents to shut down, and 1 represents start.When unit load rate is too low, must shut down, avoid the uneconomical operation of unit low level.

In the 5th preferred embodiment provided by the invention: peak load rate, unit maintenance and the unit output of described unit is obstructed and retrains the maximum Constraint that is all converted to unit, for avoiding the operating load of unit excessive, allow system leave spare space, the maximum Constraint model of described unit is:

PE(i,mon)≤R _i(i,mon)*MaxEng(i,mon) （5）

Wherein, MaxEng (i, mon) represents the maximum electric weight of unit i in mon month.

In the 6th preferred embodiment provided by the invention: in described step 3, described power purchase cost objective model is:

$\mathrm{MinC}=\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\underset{\mathrm{mon}\&GreaterEqual;\mathrm{SM}}{\overset{\mathrm{EM}}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon})*\mathrm{Pr}(i,\mathrm{base})---\left(6\right)$

C represents power purchase cost, and Pr (i, base) represents the basic electricity price lattice of unit i; SM represents initial month of power purchase cost optimization; EM represents that power purchase cost optimization stops month.

8, the method for claim 1, is characterized in that, applies the commercial algorithm bag of COMPLEX in the computation process in described step 3, adopts mixed integer programming method to be optimized calculating, and scheme is optimized.

The medium-term and long-term power purchase method of planning of a kind of consideration provided by the invention three public progresses and power purchase cost, comprises with respect to the beneficial effect of immediate prior art:

1, the medium-term and long-term power purchase method of planning of a kind of consideration provided by the invention three public progresses and power purchase cost, a kind of minimum power purchase method of cost accounting of considering three public progress constraints has been proposed, solve three public progresses and the conflicting problem of power purchase cost in medium-term and long-term power purchase planning, when making power purchase plan meet three public schedule requirements, reduce as far as possible power purchase cost.

2, take into full account actual production demand, three public schedule variance scopes can arrange arbitrarily, in optimization aim power purchase cost initial, stop can arranging arbitrarily in month, planning person can by revise parameter formulate meet current month power purchase cost minimum, this season power purchase cost is minimum and many covers power purchase scheme that power purchase cost is minimum then.

3, take into full account the minimax rate of load condensate requirement of unit in actual production, in planning, control the rate of load condensate of unit in allowed limits, avoided the operation of the uneconomic low level of unit and the standby run at high level of taking into account system not.

Accompanying drawing explanation

Be illustrated in figure 1 the process flow diagram of the medium-term and long-term power purchase method of planning of a kind of consideration provided by the invention three public progresses and power purchase cost.

Embodiment

With reference to the accompanying drawings the specific embodiment of the present invention is described in further detail below.

The invention provides the medium-term and long-term power purchase method of planning of a kind of consideration three public progresses and power purchase cost, solve three public progresses and the conflicting problem of power purchase cost in medium-term and long-term power purchase planning, when making power purchase plan meet three public schedule requirements, reduce as far as possible power purchase cost, the method process flow diagram as shown in Figure 1, as shown in Figure 1, the method comprises:

Step 1, sets up three public progress restricted models, this three public schedule variance restricted model be meet each unit three public progresses with the deviation of desirable three public progresses in given range.

Step 2, sets up the production run restricted model of unit.

Step 3, consider the different rate for incorporation into the power network of different units, set up the power purchase cost objective function model of unit in cost optimization month, this power purchase cost objective model is to make all units in the purchase cost minimum that completes electric weight multiple cost optimization month, calculates the value of the power purchase cost objective model that meets three public schedule variance constraints and production run constraint.

Further, in step 1, three public schedule variance restricted models are:

$\mathrm{SP}\left(\mathrm{mon}\right)-\mathrm{Poffset}<\left[\underset{\mathrm{mon}=1}{\overset{\mathrm{mon}\&le;\mathrm{PM}}{\mathrm{\&Sigma;}}}\mathrm{FE}\right(i,\mathrm{mon})+\underset{\mathrm{mon}=\mathrm{PM}+1}{\overset{12}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon}\left)\right]/\mathrm{ContractEnergy}\left(i\right)<\mathrm{SP}\left(\mathrm{mon}\right)+\mathrm{Poffset}---\left(1\right)$

Wherein, what FE (i, mon) represented unit i certain month mon in the past completes electric weight, and PE (i, mon) represents the plan electric weight of unit i at month mon, and PM represents the last month in current planning month; ContractEnergy (i) represents the annual contract amount of unit i; SP (mon) represents the ideal model of three public progresses, the maximum deflection difference value of Poffset tri-public progresses.

The ideal model SP (mon) of three public progresses is:

$\mathrm{SP}\left(\mathrm{mon}\right)=\left[\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\underset{\mathrm{mon}=1}{\overset{\mathrm{mon}\&le;\mathrm{PM}}{\mathrm{\&Sigma;}}}\mathrm{FE}\right(i,\mathrm{mon})+\underset{\mathrm{mon}=\mathrm{PM}+1}{\overset{\mathrm{mon}}{\mathrm{\&Sigma;}}}\mathrm{LE}(\mathrm{mon}\left)\right]/\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\mathrm{ContractEnergy}\left(i\right)---\left(2\right)$

Wherein, LE (mon) represents the load prediction demand of unit i in mon month; I represents unit sum.

The production run restricted model that in step 2, the various production and operation conditions of taking into account system are set up, production and operation condition comprises ratio of minimum load to maximum load, unit maintenance situation and the unit output of peak load rate, the unit of system electric quantity balancing, the unit situation of being obstructed.

Concrete, system electric quantity balancing restricted model is:

$\mathrm{LE}\left(\mathrm{mon}\right)=\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon})---\left(3\right)$

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, must shut down, and avoids the uneconomical operation of unit low level, and the minimum amount of power restricted model of unit is:

PE(i,mon)≥R _i(i,mon)*MinEng(i,mon) （4）

MinEng (i, mon) represents the minimum amount of power of unit i in mon month; R _i(i, mon) expression unit i is at the start and stop state in mon month, and 0 represents to shut down, and 1 represents start.

The constraints such as peak load rate, unit maintenance constraint and the unit output of unit is obstructed can be converted to the maximum Constraint of unit, for avoiding the operating load of unit excessive, allow system leave certain spare space, and the maximum Constraint model of unit is:

PE(i,mon)≤R _i(i,mon)*MaxEng(i,mon) （5）

MaxEng (i, mon) represents the maximum electric weight of unit i in mon month.

In step 3, power purchase cost objective model is:

$\mathrm{MinC}=\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\underset{\mathrm{mon}\&GreaterEqual;\mathrm{SM}}{\overset{\mathrm{EM}}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon})*\mathrm{Pr}(i,\mathrm{base})---\left(6\right)$

C represents power purchase cost, and Pr (i, base) represents the basic electricity price lattice of unit i; SM represents initial month of power purchase cost optimization; EM represents that power purchase cost optimization stops month.

According to object module and constraint condition, calculate, the scheme of arrangement moon and follow-up each month every unit electric weight plan.In computation process, apply the commercial algorithm bag of COMPLEX, adopt mixed integer programming method to be optimized calculating, scheme is optimized.

Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although the present invention is had been described in detail with reference to above-described embodiment, those of ordinary skill in the field are to be understood that: still can modify or be equal to replacement the specific embodiment of the present invention, and do not depart from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of claim scope of the present invention.

Claims (8)

1. a medium-term and long-term power purchase method of planning of considering three public progresses and power purchase cost, is characterized in that, described method comprises:

Step 1, sets up three public progress restricted models, described three public schedule variance restricted models be meet each unit three public progresses with the deviation of desirable three public progresses in given range;

Step 2, sets up the production run restricted model of unit;

Step 3, considers the different rate for incorporation into the power network of different units, sets up unit at the power purchase cost objective function models in multiple optimization month, and described power purchase cost objective model is to make all units in described multiple purchase cost minimums that complete electric weight month of optimizing;

Calculating meets the value of the described power purchase cost objective model of described three public schedule variance constraints and production run constraint.

2. the method for claim 1, is characterized in that, described in described step 1, three public schedule variance restricted models are:

$\mathrm{SP}\left(\mathrm{mon}\right)-\mathrm{Poffset}<\left[\underset{\mathrm{mon}=1}{\overset{\mathrm{mon}\&le;\mathrm{PM}}{\mathrm{\&Sigma;}}}\mathrm{FE}\right(i,\mathrm{mon})+\underset{\mathrm{mon}=\mathrm{PM}+1}{\overset{12}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon}\left)\right]/\mathrm{ContractEnergy}\left(i\right)<\mathrm{SP}\left(\mathrm{mon}\right)+\mathrm{Poffset}---\left(1\right)$

Wherein, what FE (i, mon) represented unit i certain month mon in the past completes electric weight, and PE (i, mon) represents the plan electric weight of unit i at month mon, and PM represents the last month in current planning month; ContractEnergy (i) represents the annual contract amount of unit i; SP (mon) represents the ideal model of three public progresses, the maximum deflection difference value of Poffset tri-public progresses;

The ideal model SP (mon) of described three public progresses is:

$\mathrm{SP}\left(\mathrm{mon}\right)=\left[\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\underset{\mathrm{mon}=1}{\overset{\mathrm{mon}\&le;\mathrm{PM}}{\mathrm{\&Sigma;}}}\mathrm{FE}\right(i,\mathrm{mon})+\underset{\mathrm{mon}=\mathrm{PM}+1}{\overset{\mathrm{mon}}{\mathrm{\&Sigma;}}}\mathrm{LE}(\mathrm{mon}\left)\right]/\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\mathrm{ContractEnergy}\left(i\right)---\left(2\right)$

Wherein, LE (mon) represents the load prediction demand of unit i in mon month; I represents unit sum.

3. the method for claim 1, it is characterized in that, the described production run restricted model that in described step 2, the various production and operation conditions of taking into account system are set up, described production and operation condition comprises ratio of minimum load to maximum load, unit maintenance situation and the unit output of peak load rate, the unit of system electric quantity balancing, the unit situation of being obstructed.

4. method as claimed in claim 3, is characterized in that, described system electric quantity balancing restricted model is:

$\mathrm{LE}\left(\mathrm{mon}\right)=\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon})---\left(3\right).$

5. method as claimed in claim 3, is characterized in that, the ratio of minimum load to maximum load constraints conversion of described unit is minimum amount of power constraint, and the minimum amount of power restricted model of described unit is:

PE(i,mon)≥R _i(i,mon)*MinEng(i,mon) （4）

Wherein, MinEng (i, mon) represents the minimum amount of power of unit i in mon month; R _i(i, mon) expression unit i is at the start and stop state in mon month, and 0 represents to shut down, and 1 represents start.

6. the method for claim 1, it is characterized in that, peak load rate, unit maintenance and the unit output of described unit is obstructed and retrains the maximum Constraint that is all converted to unit, for avoiding the operating load of unit excessive, allow system leave spare space, the maximum Constraint model of described unit is:

PE(i,mon)≤R _i(i,mon)*MaxEng(i,mon) （5）

Wherein, MaxEng (i, mon) represents the maximum electric weight of unit i in mon month.

7. the method for claim 1, is characterized in that, in described step 3, described power purchase cost objective model is:

$\mathrm{MinC}=\underset{i=1}{\overset{I}{\mathrm{\&Sigma;}}}\underset{\mathrm{mon}\&GreaterEqual;\mathrm{SM}}{\overset{\mathrm{EM}}{\mathrm{\&Sigma;}}}\mathrm{PE}(i,\mathrm{mon})*\mathrm{Pr}(i,\mathrm{base})---\left(6\right)$

C represents power purchase cost, and Pr (i, base) represents the basic electricity price lattice of unit i; SM represents initial month of power purchase cost optimization; EM represents that power purchase cost optimization stops month.

8. the method for claim 1, is characterized in that, applies the commercial algorithm bag of COMPLEX in the computation process in described step 3, adopts mixed integer programming method to be optimized calculating, and scheme is optimized.

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