CN103235980A - Power consumption management off-peak strategy optimization method based on multi-objective programming - Google Patents

Abstract

A power consumption management off-peak strategy optimization method based on multi-objective programming introduces an off-peak influence factor indicator system in terms of economy, safety, environment, service, management and policy and establishes an off-peak optimal selection strategy based on global multi-objective off-peak strategies. The method includes: introducing the multi-factor indicator system to off-peak management to establish a multi-objective comprehensive optimal mathematical model by comprehensively considering the influence of six influence factors upon the off-peak management, and formulating an optimal off-peak management scheme according to solution results. Load curves are descended overall, the negative effect on local economy is low, and power grid economic benefit and customer satisfaction level are maximized. The off-peak scheme is formulated automatically, non-optimal feasible solutions are reduced by enhancing constraint conditions, model solving speed is increased by implicit enumeration method, and time complexity in model solving is lowered effectively.

Description

A kind of management of power use based on multiple objective programming keeps away the peak policy optimization method

Technical field

The present invention relates to a kind of policy optimization method of avoiding the peak hour of ordered electric management domain, particularly a kind ofly keep away peak policing algorithm optimization method based on multiple objective programming.

Background technology

One of the management method as operation of power networks demand side of avoiding the peak hour can effectively reduce the peak power load, ensures the safe operation of electrical network in peak time.Execution is avoided the peak hour, and can to select the means of keeping away the peak or moving the peak, purpose be that network load with cyclic fluctuation becomes more balanced, optimizes the electric power resource configuration.But carrying out avoids the peak hour brings adverse influence also can for commercial production and the economic development in area, makes the production capacity of enterprise seriously limited, upsets the production schedule of enterprise, causes user satisfaction and reduces.In recent years, along with the continuous aggravation of the nervous situation of global energy, electric power supply will continue to occur tense situation, and carrying out avoids the peak hour includes government regulation in.And the existing management of avoiding the peak hour only launches for satisfying the electricity consumption regulation index mostly, when selecting to have holidays by turns enterprise, it is comparatively extensive to choose mode, does not take all factors into consideration the influence of factors such as economy, environment, does not consider limited electric power resource is put into society and the maximum field of contribution, market.And be purpose to satisfy the electricity consumption regulation index only, can't embody demands such as electrical network economy benefit, enterprises using the labor actual conditions, the optimum of avoiding the peak hour that lacks the overall situation is chosen strategy.

Summary of the invention

Technical matters to be solved by this invention, just provide a kind of based on the avoiding the peak hour of multiple objective programming (keep away peak) policy optimization method, by introducing and keep away peak influence factor index system from economy, safety, environment, service, management, six aspects of policy, the optimum of avoiding the peak hour that structure is kept away the peak strategy based on the multiple goal of the overall situation is chosen strategy.

The technical solution adopted for the present invention to solve the technical problems is as follows:

A kind of management of power use based on multiple objective programming keeps away the peak policy optimization method, may further comprise the steps:

S1 summarizes and keeps away the peak and influence six big class factors

Economy, environment, safety, service, management, policy;

S2 introduces the specific targets of the described six big class factors of measurement

Amount to 16, wherein:

3 of economic classes:

Loss of income---keep away the sale of electricity profit minimizing that the peak causes;

The GDP loss---keep away the GDP loss that the peak causes;

The peak valley line loss---keep away the line loss that is caused by peak-valley difference behind the peak and account for bus wire damage on the same day;

4 of environmental classes:

The coal discharge capacity---keep away the coal discharging CER that the peak causes;

CO2 emissions---keep away the CO2 emission CER that the peak causes;

SO2 emissions---keep away the sulfur dioxide (SO2) emissions CER that the peak causes;

Nitrogen oxide emission---keep away the oxides of nitrogen CER that the peak causes;

3 of security classes:

Peak-valley difference---the peak-valley difference of keeping away system loading behind the peak changes;

Change in voltage---keep away behind the peak because the change in voltage that load fluctuation causes;

The steady frequency deviation---keep away the stable state that causes owing to load fluctuation behind the peak and change frequently;

3 of service class:

Keep away the peak power off time---the electricity consumption client accumulative total of keeping away behind the peak accounts for and answers the normal power supply cumulative time because keeping away the peak power off time;

The implementation status of avoiding the peak hour---certain client finishes the avoid the peak hour number of times of task of history as requested;

Customer type---electrical network is to the definition of client's priority level;

2 of administrative class:

The timely number of times of paying the fees---certain client number of times of in the cycle, in time paying the fees;

The transgression for using electricity number of times---certain client is the transgression for using electricity number of times in the cycle;

1 of policy class:

Affiliated industry---whether the industry under certain client is the support on policy industry;

S3 definition specific targets and the qualitative relationships of keeping away the peak prioritization scheme

Economic class:

Keeping away the peak prioritization scheme, that the electrical network loss of income is trended towards is infinitely small;

Keeping away the peak prioritization scheme should make social GDP loss trend towards infinitely small;

Keeping away the peak prioritization scheme, that the peak valley line loss is trended towards is infinitely small;

Environmental classes:

Keeping away the peak prioritization scheme should make the coal CER big as far as possible;

Keeping away the peak prioritization scheme should make the carbon dioxide discharge-reduction amount big as far as possible;

Keeping away the peak prioritization scheme should make the sulphuric dioxide CER big as far as possible;

Keeping away the peak prioritization scheme should make the oxides of nitrogen CER big as far as possible;

Security classes:

Keeping away the peak prioritization scheme, that peak-valley difference is trended towards is infinitely small;

Keeping away the peak prioritization scheme, that change in voltage is trended towards is infinitely small;

Keeping away the peak prioritization scheme, that the steady frequency deviation is trended towards is infinitely small;

Service class:

Keeping away the peak prioritization scheme should make and keep away the peak influence that has a power failure and trend towards infinitely small;

Keep away the peak prioritization scheme and answer the avoid the peak hour high client's of implementation rate electric power supply of priority protection;

Keep away the peak prioritization scheme and answer the high client's of priority protection grade electric power supply;

Administrative class:

Keep away the peak prioritization scheme and answer priority protection client's the electric power supply timely of paying the fees;

Keeping away the peak prioritization scheme answers priority protection not have the low client's of transgression for using electricity history or transgression for using electricity rate electric power supply;

The policy class:

Keeping away the peak prioritization scheme answers priority protection to be subjected to the client's of support on policy industry electric power supply;

S4 sets up the electricity consumption client and participates in keeping away peak scheme execution sign

For the electricity consumption client, keep away the electricity consumption client that the peak scheme can participate in keeping away the peak and be divided into two classes---keep away peak object or the non-peak object of keeping away; Whether the electricity consumption client is converted into the two-value problem for keeping away the peak object, electricity consumption client i to keep away peak sign formula as follows:

S5 is at described 16 specific targets, set up based on the load relation keep away peak influence factor index system, comprise making up influence factor and the electricity consumption client relation of loading successively, and set up index and system loading relation function;

S6 builds and keeps away the peak Policy model

All kinds of influence factors of keeping away the peak scheme are changed in the same way, composed weight for the influence factor index, introduce weight constraints condition between each index simultaneously, set up multiple objective function, find the solution comprehensive optimization model;

S7 strengthens main constraints, optimizes and keeps away the peak Policy model

The peaked lower bound of circuit power load is constrained to mS, and m ∈ [0,1), value is determined according to experience and professional actual demand, and can to reduce the mode of alternative value combination, be accelerated the speed of convergence of model solution in constantly adjustment optimization of later stage; Therefore keeping away peak optimization model can be optimized for about index constraint condition:

$S\≥\max \left(\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{{\mathrm{\μ}}_{i}p}_i(t-{\mathrm{\τ}}_i)\right)\≥m\·S,t\∈[\mathrm{0,24}),m\∈[\mathrm{0,1})$

S8 uses implicit enumeration method to find the solution and keeps away peak policy optimization model, obtains optimum and keeps away the peak scheme.

Described step S5 specifically comprises following substep:

S5-1 makes up influence factor and the electricity consumption client relation of loading;

1) loss of income rate PL

Under the constant situation of unit electric cost, the grid company loss of income mainly causes the few electricity consumption of electricity consumption client and underpays that the electricity charge received cause by keeping away the peak; Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and therefore grid company will lose profit and be:

${\mathrm{PL}}_i={\mathrm{\μ}}_i{\∫}_0^{24}P\_\mathrm{Uni}{t}_i\left(t\right)p_i\left(t\right)\mathrm{dt};$

Wherein, the sale of electricity profit of unit quantity of electricity determines that by unit electricity price and unit power supply cost computing formula is as follows:

P_Unit _i(t)=Electrovalence _i(t)-C_Unit

Electrovalence _i(t) be the t moment, the unit electricity price of client i; Electrovalence _i(t) time-of-use tariffs strategy and the industry of formulating according to grid company under the electricity consumption client i determines; C_Unit is the average unit power supply cost of grid company, can be obtained by settlement of transactions;

2) GDP loss percentage GDPL

The GDP loss causes the electricity consumption client electricity consumption consequently not to be forced to stop to produce mainly due to keeping away the peak, and electricity consumption enterprise whenever uses kilowatt-hour less, and just major general's kilowatt-hour is converted into the output value, establishes P_GDP _iBe the corresponding added value of average unit quantity of electricity of industry under the user i, P_GDP _iCan learn by added value and the electricity consumption total amount of industry under the inquiry in China Statistical yearbook:

${P\_\mathrm{GDP}}_i=\frac{\mathrm{Total}\_{\mathrm{Revenues}}_i}{{\mathrm{Total}\_\mathrm{Electric}\_\mathrm{Quantity}}_i};$

Wherein, Total_Revenues _iBe the annual gross value added of industry under the user i, Total_Electric_Quantity _iAnnual electricity consumption total amount for industry under the user i;

So grid company is every to be defined as keeping away the peak object with an electricity consumption client, this electricity consumption client is converted into the output value with major general's electric energy:

${\mathrm{GDPL}}_i={\mathrm{\μ}}_{i}P\_G{\mathrm{DP}}_i{\∫}_0^{24}{p}_i\left(t\right)\mathrm{dt};$

3) coal discharging reduced rate CE

Coal reduces discharging mainly due to keeping away the peak and causes the electricity consumption client to stop to produce and the minimizing pollutant emission; If the coal discharge capacity of unit quantity of electricity is called the coal transforming factor, the coal transforming factor of electricity consumption client i is designated as α _{Coal, i}, α _{Coal, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted, and grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

4) CO2 emission reduced rate COE

CO2 emission causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak; If the CO2 emissions of unit quantity of electricity are called the carbon dioxide transforming factor, the coal transforming factor of electricity consumption client i is designated as α _{Carbon dioxide, i}, α _{Carbon dioxide, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted; Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

5) sulfur dioxide (SO2) emissions reduced rate SOE

CO2 emission causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak; If the SO2 emissions of unit quantity of electricity are called the Sulphur Dioxide factor, the Sulphur Dioxide factor of electricity consumption client i is designated as α _{Sulphuric dioxide, i}, α _{Sulphuric dioxide, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted, and grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

6) discharged nitrous oxides reduced rate NOE

Discharged nitrous oxides causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak; The nitrogen oxide emission of unit quantity of electricity is called the conversion of nitrogen oxides factor, and the conversion of nitrogen oxides factor of electricity consumption client i is designated as α _{Oxides of nitrogen, i}, α _{Oxides of nitrogen, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted, and grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

7) the implementation rate PSE that avoids the peak hour

The single implementation rate of avoiding the peak hour refers to that certain client finishes the avoid the peak hour ratio of task of history as requested, and the computing formula of the implementation rate of avoiding the peak hour of electricity consumption client i is as follows:

${\mathrm{PSE}}_i=\frac{{\mathrm{Actual}\_\mathrm{Averting}}_i+{\mathrm{Actual}\_\mathrm{Shifting}}_i}{{\mathrm{Plan}\_\mathrm{Averting}}_i+{\mathrm{Plan}\_\mathrm{Shifting}}_i}$

Wherein, Actual_Averting _iThat carries out for electricity consumption client i is actual keeps away peak number of times, Actual_Shifting _iMove the peak number of times for what reality was carried out.Corresponding Plan_Averting _iKeep away peak number of times, Plan_Shifting for what electricity consumption client i plan should be carried out _iMove the peak number of times for what plan should be carried out;

8) customer type UT

Its value of customer type is generally discrete type, can the index value be quantized scoring according to service needed, maps to interval [0,1] then;

9) the promptness rate PT that pays the fees

When keeping away the peak scheme optimization, answer the pay the fees high client's of promptness rate electric power supply of priority protection, the computing formula of electricity consumption client's the promptness rate of paying the fees is as follows:

${\mathrm{PT}}_i=\frac{{\mathrm{Count}\_\mathrm{Pay}\_\mathrm{in}\_\mathrm{Time}}_i}{{\mathrm{Count}\_\mathrm{Pay}}_i};$

Wherein, Count_Pay_in_Time _iBe the number of times that electricity consumption client i in time pays the fees, Count_Pay _iThe total degree of should paying the fees for electricity consumption client i; Count_Pay_in_Time _iBe the number of times that electricity consumption client i in time pays the fees, Count_Pay _iThe total degree of should paying the fees for electricity consumption client i;

10) transgression for using electricity rate VPU

When keeping away the peak scheme optimization, answer priority protection not have the low client's of transgression for using electricity history or transgression for using electricity rate electric power supply.The computing formula of electricity consumption client's transgression for using electricity rate is as follows:

${\mathrm{VPU}}_i=\frac{{\mathrm{Violate}\_\mathrm{Power}\_\mathrm{Use}}_i}{\mathrm{Total}\_\mathrm{Violate}\_\mathrm{Power}\_\mathrm{Use}};$

Wherein, Violate_Power_Use _iBe the number of times of electricity consumption client i transgression for using electricity in the cycle, Total_Violate_Power_Use is the total degree of each electricity consumption client transgression for using electricity in the cycle;

11) industry TR under

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of industry scoring to be carried out to keep away the peak, and its objective function can be expressed as:

μ _i·TR _i；

S5-2 sets up index and system loading relation function

1) loss of income rate PL

The profit of grid company loss on the same day is underpay the electricity charge of receiving for the client that whole participations keep away the peak; By comparing with the gross profit of grid company acquisition on the same day with the same day, obtain the loss of income ratio that the same day, grid company caused because keeping away the peak, loss of income rate computing formula is as follows:

Wherein,

The whole day gross profit that electrical network should obtain from electricity consumption client i during for normal power supply,

For execution keeps away the whole day gross profit that electrical network obtains from electricity consumption client i behind the peak;

2) GDP loss percentage GDPL

The total production value that the client that the loss of one regional GDP keeps away the peak for whole participations transforms less, compare by the GDP with area generation on the same day, obtain the GDP loss ratio that the same day, this area caused because keeping away the peak, because the added value collection of each electricity consumption client's unit quantity of electricity correspondence is difficulty comparatively, be convenience of calculation, can consider the average unit quantity of electricity added value of the affiliated industry of electricity consumption client, GDP loss percentage computing formula is as follows:

Wherein,

The total output value of electricity consumption client i whole day during for normal power supply,

Keep away the total output value of electricity consumption client i whole day behind the peak for execution;

3) peak valley line loss per unit PVLL

The computing formula of peak valley line loss per unit is as follows:

Wherein, W _AlwaysBe bus wire damage on the same day.Its calculating can be got the poor of power supply total amount and sale of electricity total amount, and computing formula is as follows:

W _Always=Power_Supply_Volume-Power_Sell_Volume

Power_Supply_Volume is the total amount of powering the same day, and Power_Sell_Volume is sale of electricity on same day total amount;

W _{Peak valley}Be the line loss that is caused by peak-valley difference, computing formula is as follows:

W _{Peak valley}=(3I ²R+3 △ I ²R) 24h

$I=\frac{P}{U}$

$\mathrm{\ΔI}=\frac{\max P\left(t\right)-\min P\left(t\right)}{U};$

The calculating of circuit power load curve P (t) need be considered the concrete peak strategy of keeping away, and the computing formula of circuit power load curve P (t) is as follows:

$P\left(t\right)=\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{\mathrm{\μ}}_i{p}_i\left(t\right),t\∈\left[\mathrm{0,24}\right);$

4) coal discharging reduced rate CE

Take to keep away the peak strategy, coal discharging reduced rate computing formula is as follows:

Wherein,

The coal discharge capacity of electricity consumption client i whole day during for normal power supply, Keep away the coal discharge capacity of electricity consumption client i whole day behind the peak for execution;

5) CO2 emission reduced rate COE

Take to keep away the peak strategy, then CO2 emission reduced rate computing formula is as follows:

Wherein,

The CO2 emissions of electricity consumption client i whole day during for normal power supply, Keep away the CO2 emissions of electricity consumption client i whole day behind the peak for execution.

6) sulfur dioxide (SO2) emissions reduced rate SOE

Take to keep away the peak strategy, then sulfur dioxide (SO2) emissions reduced rate computing formula is as follows:

Wherein,

The SO2 emissions of electricity consumption client i whole day during for normal power supply,

Keep away the SO2 emissions of electricity consumption client i whole day behind the peak for execution.

7) discharged nitrous oxides reduced rate NOE

Take to keep away the peak strategy, then discharged nitrous oxides reduced rate computing formula is as follows:

Wherein,

The SO2 emissions of electricity consumption client i whole day during for normal power supply, Keep away the SO2 emissions of electricity consumption client i whole day behind the peak for execution.

8) peak valley rate VP

Peak valley rate VP computing formula is as follows:

$\mathrm{VP}=\frac{\max \left(P\left(t\right)\right)-\min \left(P\left(t\right)\right)}{\max \left(P\left(t\right)\right)},t\∈\left[\mathrm{0,24}\right)$

9) voltage change ratio VC

Voltage change ratio refers to keep away the peak prioritization scheme and carries out the voltage change ratio that the back causes owing to load fluctuation.Computing formula is as follows:

$\mathrm{VC}=\left|\frac{U_2-U_1}{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}\right|$

U ₁For not considering the voltage effective value of load variations, be known.U ₂Be the voltage effective value after the consideration load variations, computing formula is as follows:

${\mathrm{<figure-callout\; id="2"\; label="U"\; filenames="HDA00003022214700021.png"\; state="\{\{state\}\}">U</figure-callout>}}_2=\sqrt{{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}^2-2\sqrt{3}{U}_{1}I+3({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)I^2+\mathrm{K\&Delta;I}}$

Wherein, I is the current effective value when not considering load variations, and △ I is that the electric current that load fluctuation causes changes effective value, the parameter that α is relevant with X with the line impedance parameters R with β.Make that power factor (PF) is cos φ, then the computing formula of each correlation parameter is as follows:

$K=-2\sqrt{3}\mathrm{\&alpha;}{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1+6({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)I+3({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)\mathrm{\&Delta;I}$

$I=\frac{P\left(t\right)}{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}$

$\mathrm{\&Delta;I}=\frac{\max P\left(t\right)-\min P\left(t\right)}{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}$

α=Rcosφ+Xsinφ

β=Xcosφ+Rsinφ

10) steady frequency deviation ratio SFD

Steady frequency deviation ratio SFD computing formula is as follows:

$\mathrm{SFD}=\frac{\max P\left(t\right)-\min P\left(t\right)}{[1/(1/R_{\mathrm{eq}}+K)]}/f$

Wherein, 1/R _EqFor comprehensive difference coefficient, calculated according to actual conditions by business department, K be load power with the frequency variation characteristics coefficient, get K=2.89.

11) keep away peak power failure contributive rate PSA

Keep away the electricity consumption client accumulative total that peak power failure contributive rate refers to keep away after the peak prioritization scheme is carried out and account for the ratio of the cumulative time of normally should powering because keeping away the peak power off time.The computing formula of keeping away peak power failure contributive rate is as follows:

$\mathrm{PSA}=\frac{\mathrm{count}(\mathrm{\&mu;}=0.1)}{N}$

12) the implementation rate PSE that avoids the peak hour

The implementation rate of avoiding the peak hour target is preferentially the low electricity consumption client of the implementation rate of avoiding the peak hour to be carried out to keep away the peak, and computing formula is:

$\mathrm{PSE}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{PSE}}_i}{N}$

13) customer type UT

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of client's grade to be carried out to keep away the peak, and the function of overall customer type can be expressed as:

$\mathrm{UT}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{UT}}_i}{N}$

14) the promptness rate PT that pays the fees

Keep away preferentially the low electricity consumption client of the promptness rate of paying the fees is carried out in the peak and keep away the peak, its objective function can be expressed as:

$\mathrm{PT}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{PT}}_i}{N}$

15) transgression for using electricity rate VPU

Take to keep away the peak strategy, then target is preferentially the high electricity consumption client of transgression for using electricity rate to be carried out to keep away the peak, and its objective function can be expressed as:

$\mathrm{VPU}=\frac{\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{VPU}}_i}{N}$

16) industry TR under

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of industry scoring to be carried out to keep away the peak, and its objective function can be expressed as:

$\mathrm{TR}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{TR}}_i}{N}.$

Described step S6 comprises following substep:

S6-1 changes in the same way to all kinds of influence factors of keeping away the peak scheme, optimizes for minimum the optimization aim of each desired value is unified, only need to part not in the same way index get negative sign and just can realize.Introduce and change factor θ in the same way:

S6-2 is that the influence factor index composes weight, index is finished change in the same way after, need be in conjunction with professional actual conditions, to certain hour in the cycle significance level of each index sort, and compose with corresponding weights omega _j

S6-3 because a plurality of indexs can not reach optimum simultaneously, need set up multiple objective function in reality, find the solution comprehensive optimum.Set up the multiple objective programming objective function:

$\min \underset{j=1}{\overset{16}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j\&CenterDot;{\mathrm{\&theta;}}_j\&CenterDot;X_j$

Wherein, ω _jBe j the weight that index is corresponding, θ _jFor changing the factor accordingly in the same way.X _jBe the expression formula of j index, X _j∈ [0,1]; X _jThe form that embodies and this bound for objective function with take keep away the peak strategy and keep away the peak prioritization scheme accordingly relevant;

S6-4 sets up constraint condition according to the given power consumption index of power scheduling department:

$S\&GreaterEqual;\max \left(\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i{p}_i\left(t\right)\right),t\&Element;[\mathrm{0,24})$

Wherein, S is the given power consumption index on the same day of power scheduling department, and i is i electricity consumption client.Formula is constrained to after execution keeps away the peak management, and the determined peak strategy of keeping away must guarantee that the power load of this area on the same day must be smaller or equal to the given power consumption index of power scheduling;

Set up weight constraints condition between each index:

$\underset{j=1}{\overset{j=16}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j=1,{\mathrm{\&omega;}}_j\&Element;\left[\mathrm{0,1}\right],\&ForAll;j\&Element;\left[\mathrm{1,16}\right];$

The interval of the index that constraint requirements is all must be gone must be 0 in 1, and the weight sum of all indexs is 1.

Described step S8 comprises following substep:

S8-1 is converted into objective function and asks minimum optimization problem;

Whether all coefficient weights are all greater than 0 in the S8-2 examination, if there is μ _iCoefficient less than 0, adopt μ _i'=1-μ _iSubstitute, guarantee that all coefficients are greater than zero;

S8-3 is with all μ in the objective function _iPress the descending ordering successively of coefficient value;

S8-4 is converted into A with all constraint conditions _iμ _iThe form of 〉=B;

S8-5 is with all μ _iBe set to 0 as the maternal case, all schemes form the binary coding of a N position, find the solution according to the binary sized order, and first feasible solution is the optimum solution of model.

Prior art the present invention has following beneficial effect relatively:

1. the present invention takes all factors into consideration economy, environment, safety, service, management, policy six big class influence factors to keeping away the influence of peak management, multifactorial index system is introduced in the management of avoiding the peak hour, set up the comprehensive optimum mathematical model of multiple goal, according to solving result, formulate to optimize and keep away the peak Managed Solution, can make when load curve integral body moves down, avoid the peak hour to the negative effect minimum of local economy, the assurance safe operation of electric network is stable, can maximize electrical network economy benefit and customer satisfaction level;

2. the present invention uses the robotization means to formulate to keep away the peak scheme, need not the dispatcher determines by hand which electricity consumption client becomes to keep away the peak object;

3. the present invention reduces non-optimal feasible solution by strengthening constraint condition, uses the implicit enumeration method acceleration model to find the solution speed, effectively reduces the time complexity of model solution.

Description of drawings

Fig. 1 keeps away the peak synoptic diagram among the step S1 of the present invention;

Fig. 2 is the index system figure among the step S5-1 of the present invention;

Fig. 3 is the electricity consumption client grade scoring figure that row are write among the step S5-2 of the present invention;

Fig. 4 is that index is changed exploded view in the same way among the step S6-1 of the present invention;

Fig. 5 is the synoptic diagram of model solution among the step S8-5 of the present invention.

Embodiment

Below in conjunction with accompanying drawing principle of the present invention and process are described in further detail.

The management of power use based on multiple objective programming of the present invention keeps away the peak policy optimization method, may further comprise the steps:

S1 identification keeps away the peak influence factor

By reference to the accompanying drawings 1, keep away the peak by making the part client, realize that the integral body of system loading curve moves down.The execution meeting that keeps away the peak to society, economic dispatch is many-sided exerts an influence, find one to each side influence all reaches the optimum peak scheme of keeping away.The at first clear and definite influence factor relevant with keeping away the peak, and take all factors into consideration and keep away the peak execution to the influence degree of all kinds of factors, make it possible in all alternativess, find out the peak of keeping away of realizing global optimum and carry into execution a plan.Embodiments of the present invention identify keeps away the influence that the peak is subjected to economy, environment, safety, service, management, policy six big class factors.

S2 constructs each factor specific targets

Structure economy, environment, safety, service, management, six big class factor specific targets amount to 16 indexs:

3 of economic classes:

Loss of income---keep away the sale of electricity profit minimizing that the peak causes;

The GDP loss---keep away the GDP loss that the peak causes;

The peak valley line loss---keep away the line loss that is caused by peak-valley difference behind the peak and account for bus wire damage on the same day;

4 of environmental classes:

The coal discharge capacity---keep away the coal discharging CER that the peak causes;

CO2 emissions---keep away the CO2 emission discharge capacity that the peak causes;

SO2 emissions---keep away the sulfur dioxide (SO2) emissions CER that the peak causes;

Nitrogen oxide emission---keep away the oxides of nitrogen CER that the peak causes;

3 of security classes:

Peak-valley difference---the peak-valley difference of keeping away system loading behind the peak changes;

Change in voltage---keep away behind the peak because the change in voltage that load fluctuation causes;

The steady frequency deviation---keep away the stable state that causes owing to load fluctuation behind the peak and change frequently;

3 of service class:

Keep away the peak power off time---the electricity consumption client accumulative total of keeping away behind the peak accounts for and answers the normal power supply cumulative time because keeping away the peak power off time;

The execution of avoiding the peak hour---certain client finishes the avoid the peak hour number of times of task of history as requested;

Customer type---electrical network is to the definition of client's priority level;

2 of administrative class:

The timely number of times of paying the fees---certain client number of times of in the cycle, in time paying the fees;

The transgression for using electricity coefficient---certain client is the transgression for using electricity number of times in the cycle;

1 of policy class:

Affiliated industry---whether the industry under certain client is the support on policy industry;

S3 definition specific targets and the qualitative relationships of keeping away the peak prioritization scheme

Keeping away the peak prioritization scheme, that the electrical network loss of income is trended towards is infinitely small;

Keeping away the peak prioritization scheme should make social GDP loss trend towards infinitely small;

Keeping away the peak prioritization scheme, that the peak valley line loss is trended towards is infinitely small;

Keeping away the peak prioritization scheme should make the coal reduction of discharging big as far as possible;

Keeping away the peak prioritization scheme should make carbon dioxide discharge-reduction big as far as possible;

Keeping away the peak prioritization scheme should make the sulphuric dioxide reduction of discharging big as far as possible;

Keeping away the peak prioritization scheme should make the oxides of nitrogen reduction of discharging big as far as possible;

Keeping away the peak prioritization scheme, that the peak valley rate is trended towards is infinitely small;

Keeping away the peak prioritization scheme, that change in voltage is trended towards is infinitely small;

Keeping away the peak prioritization scheme, that the steady frequency deviation is trended towards is infinitely small;

Keeping away the peak prioritization scheme should make and keep away the peak influence that has a power failure and trend towards infinitely small;

Keep away the peak prioritization scheme and answer the avoid the peak hour high client's of implementation rate electric power supply of priority protection;

Keep away the peak prioritization scheme and answer the high client's of priority protection grade electric power supply;

Keep away the peak prioritization scheme and answer priority protection client's the electric power supply timely of paying the fees;

Keeping away the peak prioritization scheme answers priority protection not have the low client's of transgression for using electricity history or transgression for using electricity rate electric power supply;

Keeping away the peak prioritization scheme answers priority protection to be subjected to the client's of support on policy industry electric power supply;

S4 sets up the electricity consumption client and participates in keeping away peak prioritization scheme execution sign

Set up the electricity consumption client and participate in keeping away peak scheme execution sign.For the electricity consumption client, keep away the electricity consumption client that the peak scheme can participate in keeping away the peak and be divided into two classes---keep away peak object or the non-peak object of keeping away.Therefore whether the electricity consumption client can be converted into the two-value problem for keeping away the peak object.If the peak of keeping away of electricity consumption client i identifies formula:

S5 sets up and to keep away peak influence factor index system based on the load relation

S5-plus by reference to the accompanying drawings 2, define each influence factor index implication:

1) loss of income rate PL

The loss of income rate refers to grid company owing to keep away the ratio that sale of electricity profit that the peak causes reduces, can be by calculating owing to keep away the ratio of the sale of electricity profit that reduces at peak sale of electricity gross profit account for normal power supply the time and obtain.

2) GDP loss percentage GDPL

Gross domestic product (GDP) (GDP) is as the overall target of the reflection national economic development, and it can reflect scale and the level of social production activity achievement more all sidedly.Gross domestic product (GDP) is commonly referred to as added value for industry, unit or some areas.Therefore the GDP loss percentage refers to owing to keep away the ratio that the contribution to the industry added value that the peak causes reduces.3) peak valley line loss per unit PVLL

The peak valley line loss per unit is to keep away the line loss that is caused by peak-valley difference after the peak prioritization scheme execution to account for the ratio that the same day, bus wire was decreased.

4) coal discharging reduced rate CE

Coal discharging reduced rate refers to owing to keep away the ratio of coal discharging reduction that the peak causes coal discharge capacity when accounting for normal power supply.

5) CO2 emission reduced rate COE

Similar with index coal discharging reduced rate, the CO2 emission reduced rate refers to owing to keep away the ratio of CO2 emission reduction that the peak causes CO2 emissions when accounting for normal power supply.

6) sulfur dioxide (SO2) emissions reduced rate SOE

The sulfur dioxide (SO2) emissions reduced rate refers to owing to keep away the ratio of sulfur dioxide (SO2) emissions reduction that the peak causes SO2 emissions when accounting for normal power supply.

7) discharged nitrous oxides reduced rate NOE

The discharged nitrous oxides reduced rate refers to owing to keep away the ratio of discharged nitrous oxides reduction that the peak causes nitrogen oxide emission when accounting for normal power supply.

8) peak valley rate VP

The peak valley rate refers to that peak-valley difference in the circuit power load curve accounts for the ratio of peak value.

9) voltage change ratio VC

Voltage change ratio refers to keep away the peak prioritization scheme and carries out the voltage change ratio that the back causes owing to load fluctuation.

10) steady frequency deviation ratio SFD

The steady frequency deviation ratio refers to keep away the peak prioritization scheme and carries out the steady frequency deviation ratio that the back causes owing to load fluctuation.

11) keep away peak power failure contributive rate PSA

Keep away the electricity consumption client accumulative total that peak power failure contributive rate refers to keep away after the peak prioritization scheme is carried out and account for the ratio of the cumulative time of normally should powering because keeping away the peak power off time.

12) the implementation rate PSE that avoids the peak hour

The implementation rate of avoiding the peak hour refers to that customers finish the avoid the peak hour weighting ratio of task of history as requested.

13) customer type UT

Customer type refers to that electrical network is to the definition of client's priority level.When keeping away the peak scheme optimization, answer the high client's of priority protection grade electric power supply.

14) the promptness rate PT that pays the fees

The promptness rate of paying the fees refers to that client's number of times of in time paying the fees accounts for the ratio of the number of times of should paying the fees in the cycle.

15) transgression for using electricity rate VPU

The transgression for using electricity rate refers to that certain client transgression for using electricity number of times in the cycle takes up an area of the ratio of district's electricity consumption client transgression for using electricity total degree.

16) industry TR under

Affiliated industry refers to the industry under the client.Because government is different to the support degree of every profession and trade within a certain period of time, when keeping away the peak scheme optimization, answers priority protection to be subjected to the client's of support on policy industry electric power supply.

S5-1 makes up influence factor and the electricity consumption client relation of loading;

1) loss of income rate PL

Under the constant situation of unit electric cost, the grid company loss of income mainly causes the few electricity consumption of electricity consumption client and underpays that the electricity charge received cause by keeping away the peak.Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and therefore grid company will lose profit and be:

${\mathrm{PL}}_i={\mathrm{\&mu;}}_i{\&Integral;}_0^{24}P\_\mathrm{Uni}{t}_i\left(t\right)p_i\left(t\right)\mathrm{dt}$

Wherein, the sale of electricity profit of unit quantity of electricity determines that by unit electricity price and unit power supply cost computing formula is as follows:

P_Unit _i(t)=Electrovalence _i(t)-C_Unit

Electrovalence _i(t) be the t moment, the unit electricity price of client i.Electrovalence _i(t) time-of-use tariffs strategy and the industry of formulating according to grid company under the electricity consumption client i determines.C_Unit is the average unit power supply cost of grid company, can be obtained by settlement of transactions.

2) GDP loss percentage GDPL

The GDP loss causes the electricity consumption client electricity consumption consequently not to be forced to stop to produce mainly due to keeping away the peak.Electricity consumption enterprise whenever uses kilowatt-hour less, and just major general's kilowatt-hour is converted into the output value, establishes P_GDP _iThe corresponding added value of average unit quantity of electricity for industry under the user i.P_GDP _iCan learn by added value and the electricity consumption total amount of industry under the inquiry in China Statistical yearbook.

${P\_\mathrm{GDP}}_i=\frac{\mathrm{Total}\_{\mathrm{Revenues}}_i}{{\mathrm{Total}\_\mathrm{Electric}\_\mathrm{Quantity}}_i}$

Wherein, Total_Revenues _iBe the annual gross value added of industry under the user i, Total_Electric_Quantity _iAnnual electricity consumption total amount for industry under the user i.

So grid company is every to be defined as keeping away the peak object with an electricity consumption client, this electricity consumption client is converted into the output value with major general's electric energy:

${\mathrm{GDPL}}_i={\mathrm{\&mu;}}_{i}P\_G{\mathrm{DP}}_i{\&Integral;}_0^{24}{p}_i\left(t\right)\mathrm{dt}$

3) coal discharging reduced rate CE

Coal reduces discharging mainly due to keeping away the peak and causes the electricity consumption client to stop to produce and the minimizing pollutant emission.If the coal discharge capacity of unit quantity of electricity is called the coal transforming factor, the coal transforming factor of electricity consumption client i is designated as α _{Coal, i}, α _{Coal, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network.Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted.Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

4) CO2 emission reduced rate COE

CO2 emission causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak.If the CO2 emissions of unit quantity of electricity are called the carbon dioxide transforming factor, the coal transforming factor of electricity consumption client i is designated as α _{Carbon dioxide, i}, α _{Carbon dioxide, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network.Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted.Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

5) sulfur dioxide (SO2) emissions reduced rate SOE

CO2 emission causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak.If the SO2 emissions of unit quantity of electricity are called the Sulphur Dioxide factor, the Sulphur Dioxide factor of electricity consumption client i is designated as α _{Sulphuric dioxide, i}, α _{Sulphuric dioxide, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network.Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted.Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

6) discharged nitrous oxides reduced rate NOE

Discharged nitrous oxides causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak.The nitrogen oxide emission of unit quantity of electricity is called the conversion of nitrogen oxides factor, and the conversion of nitrogen oxides factor of electricity consumption client i is designated as α _{Oxides of nitrogen, i}, α _{Oxides of nitrogen, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network.Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted.Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

7) the implementation rate PSE that avoids the peak hour

The single implementation rate of avoiding the peak hour refers to that certain client finishes the avoid the peak hour ratio of task of history as requested, and the computing formula of the implementation rate of avoiding the peak hour of electricity consumption client i is as follows:

${\mathrm{PSE}}_i=\frac{{\mathrm{Actual}\_\mathrm{Averting}}_i+{\mathrm{Actual}\_\mathrm{Shifting}}_i}{{\mathrm{Plan}\_\mathrm{Averting}}_i+{\mathrm{Plan}\_\mathrm{Shifting}}_i}$

Wherein, Actual_Averting _iThat carries out for electricity consumption client i is actual keeps away peak number of times, Actual_Shifting _iMove the peak number of times for what reality was carried out.Corresponding Plan_Averting _iKeep away peak number of times, Plan_Shifting for what electricity consumption client i plan should be carried out _iMove the peak number of times for what plan should be carried out.

8) customer type UT

By reference to the accompanying drawings 3, its value of customer type is generally discrete type, can the index value be quantized scoring according to service needed, maps to interval [0,1] then.

, 9) and promptness rate PT pays the fees

When keeping away the peak scheme optimization, answer the pay the fees high client's of promptness rate electric power supply of priority protection, the computing formula of electricity consumption client's the promptness rate of paying the fees is as follows:

${\mathrm{PT}}_i=\frac{{\mathrm{Count}\_\mathrm{Pay}\_\mathrm{in}\_\mathrm{Time}}_i}{{\mathrm{Count}\_\mathrm{Pay}}_i}$

Wherein, Count_Pay_in_Time _iBe the number of times that electricity consumption client i in time pays the fees, Count_Pay _iThe total degree of should paying the fees for electricity consumption client i.Count_Pay_in_Time _iBe the number of times that electricity consumption client i in time pays the fees, Count_Pay _iThe total degree of should paying the fees for electricity consumption client i.

10) transgression for using electricity rate VPU

When keeping away the peak scheme optimization, answer priority protection not have the low client's of transgression for using electricity history or transgression for using electricity rate electric power supply.The computing formula of electricity consumption client's transgression for using electricity rate is as follows:

${\mathrm{VPU}}_i=\frac{{\mathrm{Violate}\_\mathrm{Power}\_\mathrm{Use}}_i}{\mathrm{Total}\_\mathrm{Violate}\_\mathrm{Power}\_\mathrm{Use}}$

Wherein, Violate_Power_Use _iBe the number of times of electricity consumption client i transgression for using electricity in the cycle, Total_Violate_Power_Use is the total degree of each electricity consumption client transgression for using electricity in the cycle.

11) industry TR under

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of industry scoring to be carried out to keep away the peak, and its objective function can be expressed as:

μ _i·TR _i

S5-2 sets up index and system loading relation function;

1) loss of income rate PL

The profit of grid company loss on the same day is underpay the electricity charge of receiving for the client that whole participations keep away the peak.By comparing with the gross profit of grid company acquisition on the same day with the same day, obtain the loss of income ratio that the same day, grid company caused because keeping away the peak, loss of income rate computing formula is as follows:

Wherein,

The whole day gross profit that electrical network should obtain from electricity consumption client i during for normal power supply,

For execution keeps away the whole day gross profit that electrical network obtains from electricity consumption client i behind the peak.

2) GDP loss percentage GDPL

The total production value that the client that the loss of one regional GDP keeps away the peak for whole participations transforms less, compare by the GDP with area generation on the same day, obtain the GDP loss ratio that the same day, this area caused because keeping away the peak, because the added value collection of each electricity consumption client's unit quantity of electricity correspondence is difficulty comparatively, be convenience of calculation, can consider the average unit quantity of electricity added value of the affiliated industry of electricity consumption client, GDP loss percentage computing formula is as follows:

Wherein, The total output value of electricity consumption client i whole day during for normal power supply,

Keep away the total output value of electricity consumption client i whole day behind the peak for execution.

3) peak valley line loss per unit PVLL

The computing formula of peak valley line loss per unit is as follows:

Wherein, W _AlwaysBe bus wire damage on the same day.Its calculating can be got the poor of power supply total amount and sale of electricity total amount, and computing formula is as follows:

W _Always=Power_Supply_Volume-Power_Sell_Volume

Power_Supply_Volume is the total amount of powering the same day, and Power_Sell_Volume is sale of electricity on same day total amount.

W _{Peak valley}Be the line loss that is caused by peak-valley difference, computing formula is as follows:

W _{Peak valley}=(3I ²R+3 △ I ²R) 24h

$I=\frac{P}{U}$

$\mathrm{\&Delta;I}=\frac{\max P\left(t\right)-\min P\left(t\right)}{U}$

The calculating of circuit power load curve P (t) need be considered the concrete peak strategy of keeping away, and the computing formula of circuit power load curve P (t) is as follows:

$P\left(t\right)=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i{p}_i\left(t\right),t\&Element;\left[\mathrm{0,24}\right)$

4) coal discharging reduced rate CE

Take to keep away the peak strategy, coal discharging reduced rate computing formula is as follows:

Wherein,

The coal discharge capacity of electricity consumption client i whole day during for normal power supply,

Keep away the coal discharge capacity of electricity consumption client i whole day behind the peak for execution.

5) CO2 emission reduced rate COE

Take to keep away the peak strategy, then CO2 emission reduced rate computing formula is as follows:

Wherein,

The CO2 emissions of electricity consumption client i whole day during for normal power supply, Keep away the CO2 emissions of electricity consumption client i whole day behind the peak for execution.

6) sulfur dioxide (SO2) emissions reduced rate SOE

Take to keep away the peak strategy, then sulfur dioxide (SO2) emissions reduced rate computing formula is as follows:

Wherein,

The SO2 emissions of electricity consumption client i whole day during for normal power supply, Keep away the SO2 emissions of electricity consumption client i whole day behind the peak for execution.

7) discharged nitrous oxides reduced rate NOE

Take to keep away the peak strategy, then discharged nitrous oxides reduced rate computing formula is as follows:

Wherein,

The SO2 emissions of electricity consumption client i whole day during for normal power supply,

Keep away the SO2 emissions of electricity consumption client i whole day behind the peak for execution.

8) peak valley rate VP

Peak valley rate VP computing formula is as follows:

$\mathrm{VP}=\frac{\max \left(P\left(t\right)\right)-\min \left(P\left(t\right)\right)}{\max \left(P\left(t\right)\right)},t\&Element;\left[\mathrm{0,24}\right)$

9) voltage change ratio VC

Voltage change ratio refers to keep away the peak prioritization scheme and carries out the voltage change ratio that the back causes owing to load fluctuation.Computing formula is as follows:

$\mathrm{VC}=\left|\frac{U_2-U_1}{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}\right|$

U ₁For not considering the voltage effective value of load variations, be known.U ₂Be the voltage effective value after the consideration load variations, computing formula is as follows:

${\mathrm{<figure-callout\; id="2"\; label="U"\; filenames="HDA00003022214700021.png"\; state="\{\{state\}\}">U</figure-callout>}}_2=\sqrt{{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}^2-2\sqrt{3}{U}_{1}I+3({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)I^2+\mathrm{K\&Delta;I}}$

Wherein, I is the current effective value when not considering load variations, and △ I is that the electric current that load fluctuation causes changes effective value, the parameter that α is relevant with X with the line impedance parameters R with β.Make that power factor (PF) is cos φ, then the computing formula of each correlation parameter is as follows:

$K=-2\sqrt{3}\mathrm{\&alpha;}{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1+6({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)I+3({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)\mathrm{\&Delta;I}$

$I=\frac{P\left(t\right)}{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}$

$\mathrm{\&Delta;I}=\frac{\max P\left(t\right)-\min P\left(t\right)}{{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA00003022214700021.png,HDA00003022214700031.png"\; state="\{\{state\}\}">U</figure-callout>}}_1}$

α=Rcosφ+Xsinφ

β=Xcosφ+Rsinφ

10) steady frequency deviation ratio SFD

Steady frequency deviation ratio SFD computing formula is as follows:

$\mathrm{SFD}=\frac{\max P\left(t\right)-\min P\left(t\right)}{[1/(1/R_{\mathrm{eq}}+K)]}/f$

Wherein, 1/R _EqFor comprehensive difference coefficient, calculated according to actual conditions by business department, K be load power with the frequency variation characteristics coefficient, get K=2.89.

11) keep away peak power failure contributive rate PSA

Keep away the electricity consumption client accumulative total that peak power failure contributive rate refers to keep away after the peak prioritization scheme is carried out and account for the ratio of the cumulative time of normally should powering because keeping away the peak power off time.The computing formula of keeping away peak power failure contributive rate is as follows:

$\mathrm{PSA}=\frac{\mathrm{count}(\mathrm{\&mu;}=0.1)}{N}$

12) the implementation rate PSE that avoids the peak hour

The implementation rate of avoiding the peak hour target is preferentially the low electricity consumption client of the implementation rate of avoiding the peak hour to be carried out to keep away the peak, and computing formula is:

$\mathrm{PSE}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{PSE}}_i}{N}$

13) customer type UT

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of client's grade to be carried out to keep away the peak, and the function of overall customer type can be expressed as:

$\mathrm{UT}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{UT}}_i}{N}$

14) the promptness rate PT that pays the fees

Keep away preferentially the low electricity consumption client of the promptness rate of paying the fees is carried out in the peak and keep away the peak, its objective function can be expressed as:

$\mathrm{PT}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{PT}}_i}{N}$

15) transgression for using electricity rate VPU

Take to keep away the peak strategy, then target is preferentially the high electricity consumption client of transgression for using electricity rate to be carried out to keep away the peak, and its objective function can be expressed as:

$\mathrm{VPU}=\frac{\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{VPU}}_i}{N}$

16) industry TR under

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of industry scoring to be carried out to keep away the peak, and its objective function can be expressed as:

$\mathrm{TR}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{TR}}_i}{N}$

S6 builds and keeps away peak policy optimization model

S6-1 changes the influence factor index in the same way, by reference to the accompanying drawings 4, the target of keeping away the peak policy optimization is the power consumption index that is no more than distribution in the circuit power load all the time, thereby in the prerequisite that guarantees power grid security, seek carrying into execution a plan of one group of optimum, make that the positive impact that keeps away after the peak is carried out is big as far as possible, negative influence is as far as possible little.All kinds of influence factors of keeping away the peak scheme are changed in the same way, are optimized for minimum the optimization aim of each desired value is unified, only need to part not in the same way index get negative sign and just can realize.Introduce and change factor θ in the same way:

S6-2 is that the influence factor index composes weight, index is finished change in the same way after, need be in conjunction with professional actual conditions, to certain hour in the cycle significance level of each index sort, and compose with corresponding weights omega _j

S6-3 because a plurality of indexs can not reach optimum simultaneously, need set up multiple objective function in reality, find the solution comprehensive optimum.Set up the multiple objective programming objective function:

$\min \underset{j=1}{\overset{16}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j\&CenterDot;{\mathrm{\&theta;}}_j\&CenterDot;X_j$

Wherein, ω _jBe j the weight that index is corresponding, θ _jFor changing the factor accordingly in the same way.X _jBe the expression formula of j index, X _j∈ [0,1].X _jThe form that embodies and this bound for objective function with take keep away the peak strategy and keep away the peak prioritization scheme accordingly relevant.

S6-4 sets up constraint condition according to the given power consumption index of power scheduling department:

$S\&GreaterEqual;\max \left(\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i{p}_i\left(t\right)\right),t\&Element;[\mathrm{0,24})$

Wherein, S is the given power consumption index on the same day of power scheduling department, and i is i electricity consumption client.Formula is constrained to after execution keeps away the peak management, and the determined peak strategy of keeping away must guarantee that the power load of this area on the same day must be smaller or equal to the given power consumption index of power scheduling.

Set up weight constraints condition between each index:

$\underset{j=1}{\overset{j=16}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j=1,{\mathrm{\&omega;}}_j\&Element;\left[\mathrm{0,1}\right],\&ForAll;j\&Element;\left[\mathrm{1,16}\right]$

The interval of the index that constraint requirements is all must be gone must be 0 in 1, and the weight sum of all indexs is 1.

S7 strengthens main constraints, optimizes and keeps away the peak Policy model

The peaked lower bound of circuit power load is constrained to mS, and m ∈ [0,1), value is determined according to experience and professional actual demand, and can to reduce the mode of alternative value combination, be accelerated the speed of convergence of model solution in constantly adjustment optimization of later stage.Therefore keeping away peak optimization model can be optimized for about index constraint condition:

$S\&GreaterEqual;\max \left(\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i{p}_i(t-{\mathrm{\&tau;}}_i)\right)\&GreaterEqual;m\&CenterDot;S,t\&Element;[\mathrm{0,24}),m\&Element;[\mathrm{0,1})$

S8 uses implicit enumeration method to find the solution and keeps away peak policy optimization model, obtains optimum and keeps away the peak scheme

S8-1 is converted into objective function and asks minimum optimization problem, and in the present embodiment, objective function is:

$\min \underset{j=1}{\overset{16}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j\&CenterDot;{\mathrm{\&theta;}}_j\&CenterDot;X_j$

Be translated into:

$\min \underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{c}_i{\mathrm{\&mu;}}_i+{\mathrm{<figure-callout\; id="0"\; label="c"\; filenames="HDA00003022214700041.png"\; state="\{\{state\}\}">c</figure-callout>}}_0$

Wherein, N is for participating in keeping away the electricity consumption client number at peak, and i is the electricity consumption client that i can participate in keeping away the peak, c _iBe μ _iCoefficient.

S8-2 checks c _i〉=0,

Whether set up, if there is c _i≤ 0, adopt μ _i'=1-μ _iSubstitute, guarantee c _i〉=0,

Set up.

S8-3 is with all μ in the objective function _iPress the descending ordering successively of coefficient value, making has after the objective function ordering:

$\min \underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{c}_{\left(i\right)}{\mathrm{\&mu;}}_{\left(i\right)}+{\mathrm{<figure-callout\; id="0"\; label="c"\; filenames="HDA00003022214700041.png"\; state="\{\{state\}\}">c</figure-callout>}}_0,c_{\left(1\right)}\&GreaterEqual;c_{\left(2\right)}\&GreaterEqual;\&CenterDot;\&CenterDot;\&CenterDot;\&GreaterEqual;c_{\left(N\right)}$

Wherein, c _(i)Be the back μ that sorts _(i)Coefficient of correspondence.

S8-4 is converted into A with all constraint conditions _(i)μ _(i)The form of 〉=B, in present embodiment, constraint condition is converted into:

$\max \left(\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{{\mathrm{\&mu;}}_{\left(i\right)}p}_{\left(i\right)}\left(t\right)\right)\&GreaterEqual;m\&CenterDot;S,t\&Element;\left[\mathrm{0,24}\right),m\&Element;\left[\mathrm{0,1}\right)$

$-\max \left(\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_{\left(i\right)}{p}_{\left(i\right)}\left(t\right)\right)\&GreaterEqual;-S,t\&Element;\left[\mathrm{0,24}\right)$

S8-5 by reference to the accompanying drawings 5, with all μ _(i)Be set to 0 as the maternal case, the scheme total number is 2 ^NIndividual, each scheme is 1 and 0.1 combination.For convenient expression, μ=0.1 is expressed as 0, μ=1 is expressed as 1, according to binary-coded order 0,0 ..., 0,1}, 0,0 ..., 1,0} ... 1,1 ..., 1,1} finds the solution, and first feasible solution is exactly the optimum solution of multiple objective programming, and this optimum solution is to keep away the peak optimal case.

Claims (4)

1. the management of power use based on multiple objective programming keeps away the peak policy optimization method, it is characterized in that may further comprise the steps:

S1 summarizes and keeps away the peak and influence six big class factors

Economy, environment, safety, service, management, policy;

S2 introduces the specific targets of the described six big class factors of measurement

Amount to 16, wherein:

3 of economic classes:

Loss of income---keep away the sale of electricity profit minimizing that the peak causes;

The GDP loss---keep away the GDP loss that the peak causes;

The peak valley line loss---keep away the line loss that is caused by peak-valley difference behind the peak and account for bus wire damage on the same day;

4 of environmental classes:

The coal discharge capacity---keep away the coal discharging CER that the peak causes;

CO2 emissions---keep away the CO2 emission CER that the peak causes;

SO2 emissions---keep away the sulfur dioxide (SO2) emissions CER that the peak causes;

Nitrogen oxide emission---keep away the oxides of nitrogen CER that the peak causes;

3 of security classes:

Peak-valley difference---the peak-valley difference of keeping away system loading behind the peak changes;

Change in voltage---keep away behind the peak because the change in voltage that load fluctuation causes;

The steady frequency deviation---keep away the stable state that causes owing to load fluctuation behind the peak and change frequently;

3 of service class:

Keep away the peak power off time---the electricity consumption client accumulative total of keeping away behind the peak accounts for and answers the normal power supply cumulative time because keeping away the peak power off time;

The implementation status of avoiding the peak hour---certain client finishes the avoid the peak hour number of times of task of history as requested;

Customer type---electrical network is to the definition of client's priority level;

2 of administrative class:

The timely number of times of paying the fees---certain client number of times of in the cycle, in time paying the fees;

The transgression for using electricity number of times---certain client is the transgression for using electricity number of times in the cycle;

1 of policy class:

Affiliated industry---whether the industry under certain client is the support on policy industry;

S3 definition specific targets and the qualitative relationships of keeping away the peak prioritization scheme

Economic class:

Keeping away the peak prioritization scheme, that the electrical network loss of income is trended towards is infinitely small;

Keeping away the peak prioritization scheme should make social GDP loss trend towards infinitely small;

Keeping away the peak prioritization scheme, that the peak valley line loss is trended towards is infinitely small;

Environmental classes:

Keeping away the peak prioritization scheme should make the coal CER big as far as possible;

Keeping away the peak prioritization scheme should make the carbon dioxide discharge-reduction amount big as far as possible;

Keeping away the peak prioritization scheme should make the sulphuric dioxide CER big as far as possible;

Keeping away the peak prioritization scheme should make the oxides of nitrogen CER big as far as possible;

Security classes:

Keeping away the peak prioritization scheme, that peak-valley difference is trended towards is infinitely small;

Keeping away the peak prioritization scheme, that change in voltage is trended towards is infinitely small;

Keeping away the peak prioritization scheme, that the steady frequency deviation is trended towards is infinitely small;

Service class:

Keeping away the peak prioritization scheme should make and keep away the peak influence that has a power failure and trend towards infinitely small;

Keep away the peak prioritization scheme and answer the avoid the peak hour high client's of implementation rate electric power supply of priority protection;

Keep away the peak prioritization scheme and answer the high client's of priority protection grade electric power supply;

Administrative class:

Keep away the peak prioritization scheme and answer priority protection client's the electric power supply timely of paying the fees;

Keeping away the peak prioritization scheme answers priority protection not have the low client's of transgression for using electricity history or transgression for using electricity rate electric power supply;

The policy class:

Keeping away the peak prioritization scheme answers priority protection to be subjected to the client's of support on policy industry electric power supply;

S4 sets up the electricity consumption client and participates in keeping away peak scheme execution sign

The electricity consumption client who participates in keeping away the peak is divided into two classes: keep away peak object or the non-peak object of keeping away, so whether the electricity consumption client be converted into the two-value problem for keeping away the peak object, electricity consumption client i to keep away peak sign formula as follows:

S5 is at described 16 specific targets, set up based on the load relation keep away peak influence factor index system, comprise making up influence factor and the electricity consumption client relation of loading successively, and set up index and system loading relation function;

S6 builds and keeps away the peak Policy model

All kinds of influence factors of keeping away the peak scheme are changed in the same way, composed weight for the influence factor index, introduce weight constraints condition between each index simultaneously, set up multiple objective function, find the solution comprehensive optimization model;

S7 strengthens main constraints, optimizes and keeps away the peak Policy model

The peaked lower bound of circuit power load is constrained to mS, and m ∈ [0,1), value is determined according to experience and professional actual demand, and in constantly adjustment optimization of later stage, to reduce the mode of alternative value combination, is accelerated the speed of convergence of model solution; Therefore keeping away peak optimization model can be optimized for about index constraint condition:

$S\&GreaterEqual;\max \left(\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{{\mathrm{\&mu;}}_{i}p}_i(t-{\mathrm{\&tau;}}_i)\right)\&GreaterEqual;m\&CenterDot;S,t\&Element;[\mathrm{0,24}),m\&Element;[\mathrm{0,1})$

S8 uses implicit enumeration method to find the solution and keeps away peak policy optimization model, obtains optimum and keeps away the peak scheme.

2. the management of power use based on multiple objective programming according to claim 1 keeps away the peak policy optimization method, it is characterized in that:

Described step S5 specifically comprises following substep:

S5-1 makes up influence factor and the electricity consumption client relation of loading;

1) loss of income rate PL

Under the constant situation of unit electric cost, the grid company loss of income mainly causes the few electricity consumption of electricity consumption client and underpays that the electricity charge received cause by keeping away the peak; Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and therefore grid company will lose profit and be:

${\mathrm{PL}}_i={\mathrm{\&mu;}}_i{\&Integral;}^{0}P\_\mathrm{Uni}{t}_i\left(t\right)p_i(t-{\mathrm{\&tau;}}_i)\mathrm{dt};$

Wherein, the sale of electricity profit of unit quantity of electricity determines that by unit electricity price and unit power supply cost computing formula is as follows:

P_Unit _i(t)=Electrovalence _i(t)-C_Unit；

Electrovalence _i(t) be the t moment, the unit electricity price of client i; Electrovalence _i(t) time-of-use tariffs strategy and the industry of formulating according to grid company under the electricity consumption client i determines; C_Unit is the average unit power supply cost of grid company, is obtained by settlement of transactions;

2) GDP loss percentage GDPL

The GDP loss causes the electricity consumption client electricity consumption consequently not to be forced to stop to produce mainly due to keeping away the peak, and electricity consumption enterprise whenever uses kilowatt-hour less, and just major general's kilowatt-hour is converted into the output value, establishes P_GDP _iBe the corresponding added value of average unit quantity of electricity of industry under the user i, P_GDP _iAdded value and electricity consumption total amount by industry under the inquiry in China Statistical yearbook are learnt:

${P\_\mathrm{GDP}}_i=\frac{\mathrm{Total}\_{\mathrm{Revenues}}_i}{{\mathrm{Total}\_\mathrm{Electric}\_\mathrm{Quantity}}_i};$

Wherein, Total_Revenues _iBe the annual gross value added of industry under the user i, Total_Electric_Quantity _iAnnual electricity consumption total amount for industry under the user i;

So grid company is every to be defined as keeping away the peak object with an electricity consumption client, this electricity consumption client is converted into the output value with major general's electric energy:

${\mathrm{GDPL}}_i={\mathrm{\&mu;}}_{i}P\_{\mathrm{GDP}}_i{\&Integral;}_0^{24}{p}_i\left(t\right)\mathrm{dt};$

3) coal discharging reduced rate CE

Coal reduces discharging mainly due to keeping away the peak and causes the electricity consumption client to stop to produce and the minimizing pollutant emission; If the coal discharge capacity of unit quantity of electricity is called the coal transforming factor, the coal transforming factor of electricity consumption client i is designated as α _{Coal, i}, α _{Coal, i}Value and electricity consumption client i under industry relevant, from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted, and grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

4) CO2 emission reduced rate COE

CO2 emission causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak; If the CO2 emissions of unit quantity of electricity are called the carbon dioxide transforming factor, the coal transforming factor of electricity consumption client i is designated as α _{Carbon dioxide, i}, α _{Carbon dioxide, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted; Grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

5) sulfur dioxide (SO2) emissions reduced rate SOE

CO2 emission causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak; If the SO2 emissions of unit quantity of electricity are called the Sulphur Dioxide factor, the Sulphur Dioxide factor of electricity consumption client i is designated as α _{Sulphuric dioxide, i}, α _{Sulphuric dioxide, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted, and grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

6) discharged nitrous oxides reduced rate NOE

Discharged nitrous oxides causes the electricity consumption client to stop to produce and the minimizing pollutant emission mainly due to keeping away the peak; The nitrogen oxide emission of unit quantity of electricity is called the conversion of nitrogen oxides factor, and the conversion of nitrogen oxides factor of electricity consumption client i is designated as α _{Oxides of nitrogen, i}, α _{Oxides of nitrogen, i}Value and electricity consumption client i under industry relevant, can be from " China energy statistical yearbook " and the inner related data that obtains of electrical network; Electricity consumption enterprise whenever uses kilowatt-hour less, and just few production polluted, and grid company is every to be defined as keeping away the peak object with an electricity consumption client, and this electricity consumption client will produce pollutant less:

7) the implementation rate PSE that avoids the peak hour

The single implementation rate of avoiding the peak hour refers to that certain client finishes the avoid the peak hour ratio of task of history as requested, and the computing formula of the implementation rate of avoiding the peak hour of electricity consumption client i is as follows:

${\mathrm{PSE}}_i=\frac{{\mathrm{Actual}\_\mathrm{Averting}}_i+{\mathrm{Actual}\_\mathrm{Shifting}}_i}{{\mathrm{Plan}\_\mathrm{Averting}}_i+{\mathrm{Plan}\_\mathrm{Shifting}}_i};$

Wherein, Actual_Averting _iThat carries out for electricity consumption client i is actual keeps away peak number of times, Actual_Shifting _iMove the peak number of times for what reality was carried out; Corresponding Plan_Averting _iKeep away peak number of times, Plan_Shifting for what electricity consumption client i plan should be carried out _iMove the peak number of times for what plan should be carried out;

8) customer type UT

Its value of customer type is discrete type, can the index value be quantized scoring according to service needed, maps to interval [0,1] then;

9) the promptness rate PT that pays the fees

When keeping away the peak scheme optimization, answer the pay the fees high client's of promptness rate electric power supply of priority protection, the computing formula of electricity consumption client's the promptness rate of paying the fees is as follows:

${\mathrm{PT}}_i=\frac{{\mathrm{Count}\_\mathrm{Pay}\_\mathrm{in}\_\mathrm{Time}}_i}{{\mathrm{Count}\_\mathrm{Pay}}_i};$

Wherein, Count_Pay_in_Time _iBe the number of times that electricity consumption client i in time pays the fees, Count_Pay _iThe total degree of should paying the fees for electricity consumption client i; Count_Pay_in_Time _iBe the number of times that electricity consumption client i in time pays the fees, Count_Pay _iThe total degree of should paying the fees for electricity consumption client i;

10) transgression for using electricity rate VPU

When keeping away the peak scheme optimization, answer priority protection not have the low client's of transgression for using electricity history or transgression for using electricity rate electric power supply; The computing formula of electricity consumption client's transgression for using electricity rate is as follows:

${\mathrm{VPU}}_i=\frac{{\mathrm{Violate}\_\mathrm{Power}\_\mathrm{Use}}_i}{\mathrm{Total}\_\mathrm{Violate}\_\mathrm{Power}\_\mathrm{Use}};$

Wherein, Violate_Power_Use _iBe the number of times of electricity consumption client i transgression for using electricity in the cycle, Total_Violate_Power_Use is the total degree of each electricity consumption client transgression for using electricity in the cycle;

11) industry TR under

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of industry scoring to be carried out to keep away the peak, and its objective function can be expressed as:

μ _i·TR _i；

S5-2 sets up index and system loading relation function

1) loss of income rate PL

The profit of grid company loss on the same day is underpay the electricity charge of receiving for the client that whole participations keep away the peak; By comparing with the gross profit of grid company acquisition on the same day with the same day, obtain the loss of income ratio that the same day, grid company caused because keeping away the peak, loss of income rate computing formula is as follows:

Wherein,

The whole day gross profit that electrical network should obtain from electricity consumption client i during for normal power supply,

For execution keeps away the whole day gross profit that electrical network obtains from electricity consumption client i behind the peak;

2) GDP loss percentage GDPL

The total production value that the client that the loss of one regional GDP keeps away the peak for whole participations transforms less, compare by the GDP with area generation on the same day, obtain the GDP loss ratio that the same day, this area caused because keeping away the peak, because the added value collection of each electricity consumption client's unit quantity of electricity correspondence is difficulty comparatively, be convenience of calculation, can consider the average unit quantity of electricity added value of the affiliated industry of electricity consumption client, GDP loss percentage computing formula is as follows:

Wherein,

The total output value of electricity consumption client i whole day during for normal power supply,

Keep away the total output value of electricity consumption client i whole day behind the peak for execution;

3) peak valley line loss per unit PVLL

The computing formula of peak valley line loss per unit is as follows:

Wherein, W _AlwaysBe bus wire damage on the same day; Its calculating can be got the poor of power supply total amount and sale of electricity total amount, and computing formula is as follows:

W _Always=Power_Supply_Volume-Power_Sell_Volume;

Power_Supply_Volume is the total amount of powering the same day, and Power_Sell_Volume is sale of electricity on same day total amount;

W _{Peak valley}Be the line loss that is caused by peak-valley difference, computing formula is as follows:

W _{Peak valley}=(3I ²R+3 △ I ²R) 24h

$I=\frac{P}{U}$

$\mathrm{\&Delta;I}=\frac{\max P\left(t\right)-\min P\left(t\right)}{U};$

The calculating of circuit power load curve P (t) need be considered the concrete peak strategy of keeping away, and the computing formula of circuit power load curve P (t) is as follows:

$P\left(t\right)=\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i{p}_i\left(t\right),t\&Element;\left[\mathrm{0,24}\right);$

4) coal discharging reduced rate CE

Take to keep away the peak strategy, coal discharging reduced rate computing formula is as follows:

Wherein,

The coal discharge capacity of electricity consumption client i whole day during for normal power supply,

Keep away the coal discharge capacity of electricity consumption client i whole day behind the peak for execution;

5) CO2 emission reduced rate COE

Take to keep away the peak strategy, then CO2 emission reduced rate computing formula is as follows:

Wherein,

The CO2 emissions of electricity consumption client i whole day during for normal power supply,

Keep away the CO2 emissions of electricity consumption client i whole day behind the peak for execution;

6) sulfur dioxide (SO2) emissions reduced rate SOE

Take to keep away the peak strategy, then sulfur dioxide (SO2) emissions reduced rate computing formula is as follows:

Wherein,

The SO2 emissions of electricity consumption client i whole day during for normal power supply,

Keep away the SO2 emissions of electricity consumption client i whole day behind the peak for execution;

7) discharged nitrous oxides reduced rate NOE

Take to keep away the peak strategy, then discharged nitrous oxides reduced rate computing formula is as follows:

Wherein,

The SO2 emissions of electricity consumption client i whole day during for normal power supply,

Keep away the SO2 emissions of electricity consumption client i whole day behind the peak for execution;

8) peak valley rate VP

Peak valley rate VP computing formula is as follows:

$\mathrm{VP}=\frac{\max \left(P\left(t\right)\right)-\min \left(P\left(t\right)\right)}{\max \left(P\left(t\right)\right)},t\&Element;\left[\mathrm{0,24}\right);$

9) voltage change ratio VC

Voltage change ratio refers to keep away the peak prioritization scheme and carries out the voltage change ratio that the back causes owing to load fluctuation; Computing formula is as follows:

$\mathrm{VC}=\left|\frac{U_2-U_1}{U_1}\right|;$

U ₁For not considering the voltage effective value of load variations, be known; U ₂Be the voltage effective value after the consideration load variations, computing formula is as follows:

$U_2=\sqrt{{U_1}^2-2\sqrt{3}{U}_{1}I+3({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)I^2+\mathrm{K\&Delta;I}};$

Wherein, I is the current effective value when not considering load variations, and △ I is that the electric current that load fluctuation causes changes effective value, the parameter that α is relevant with X with the line impedance parameters R with β; Make that power factor (PF) is cos φ, then the computing formula of each correlation parameter is as follows:

$K=-2\sqrt{3}\mathrm{\&alpha;}{U}_1+6({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)I+3({\mathrm{\&alpha;}}^2+{\mathrm{\&beta;}}^2)\mathrm{\&Delta;I}$

$I=\frac{P\left(t\right)}{U_1}$

$\mathrm{\&Delta;I}=\frac{\max P\left(t\right)-\min P\left(t\right)}{U_1}$

α=Rcosφ+Xsinφ

β=Xcosφ+Rsinφ；

10) steady frequency deviation ratio SFD

Steady frequency deviation ratio SFD computing formula is as follows:

$\mathrm{SFD}=\frac{\max P\left(t\right)-\min P\left(t\right)}{[1/(1/R_{\mathrm{eq}}+K)]}/f;$

Wherein, 1/R _EqFor comprehensive difference coefficient, calculated according to actual conditions by business department, K be load power with

The frequency variation characteristics coefficient is got K=2.89;

11) keep away peak power failure contributive rate PSA

Keep away the electricity consumption client accumulative total that peak power failure contributive rate refers to keep away after the peak prioritization scheme is carried out and account for the ratio of the cumulative time of normally should powering because keeping away the peak power off time; The computing formula of keeping away peak power failure contributive rate is as follows:

$\mathrm{PSA}=\frac{\mathrm{count}(\mathrm{\&mu;}=0.1)}{N};$

12) the implementation rate PSE that avoids the peak hour

The implementation rate of avoiding the peak hour target is preferentially the low electricity consumption client of the implementation rate of avoiding the peak hour to be carried out to keep away the peak, and computing formula is:

$\mathrm{PSE}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{PSE}}_i}{N};$

13) customer type UT

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of client's grade to be carried out to keep away the peak, and the function of overall customer type can be expressed as:

$\mathrm{UT}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{UT}}_i}{N};$

14) the promptness rate PT that pays the fees

Keep away preferentially the low electricity consumption client of the promptness rate of paying the fees is carried out in the peak and keep away the peak, its objective function can be expressed as:

$\mathrm{PT}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{PT}}_i}{N};$

15) transgression for using electricity rate VPU

Take to keep away the peak strategy, then target is preferentially the high electricity consumption client of transgression for using electricity rate to be carried out to keep away the peak, and its objective function can be expressed as:

$\mathrm{VPU}=\frac{\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{VPU}}_i}{N};$

16) industry TR under

Take to keep away the peak strategy, then target is preferentially the low electricity consumption client of industry scoring to be carried out to keep away the peak, and its objective function can be expressed as:

$\mathrm{TR}=\frac{-\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i\&CenterDot;{\mathrm{TR}}_i}{N}$

3. the management of power use based on multiple objective programming according to claim 1 keeps away the peak policy optimization method, and it is characterized in that: described step S6 comprises following substep:

S6-1 changes in the same way to all kinds of influence factors of keeping away the peak scheme, optimizes for minimum the optimization aim of each desired value is unified, only need to part not in the same way index get negative sign and just can realize; Introduce and change factor θ in the same way:

S6-2 is that the influence factor index composes weight, index is finished change in the same way after, need be in conjunction with professional actual conditions, to certain hour in the cycle significance level of each index sort, and compose with corresponding weights omega _j

S6-3 because a plurality of indexs can not reach optimum simultaneously, need set up multiple objective function in reality, find the solution comprehensive optimum; Set up the multiple objective programming objective function:

$\min \underset{j=1}{\overset{16}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j\&CenterDot;{\mathrm{\&theta;}}_j\&CenterDot;X_j;$

Wherein, ω _jBe j the weight that index is corresponding, θ _jFor changing the factor accordingly in the same way; X _jBe the expression formula of j index, X _j∈ [0,1]; X _jThe form that embodies and this bound for objective function with take keep away the peak strategy and keep away the peak prioritization scheme accordingly relevant;

S6-4 sets up constraint condition according to the given power consumption index of power scheduling department:

$S\&GreaterEqual;\max \left(\underset{i=1}{\overset{N}{\mathrm{\&Sigma;}}}{\mathrm{\&mu;}}_i{p}_i\left(t\right)\right),t\&Element;[\mathrm{0,24});$

Wherein, S is the given power consumption index on the same day of power scheduling department, and i is i electricity consumption client; Formula is constrained to after execution keeps away the peak management, and the determined peak strategy of keeping away must guarantee that the power load of this area on the same day must be smaller or equal to the given power consumption index of power scheduling;

Set up weight constraints condition between each index:

$\underset{j=1}{\overset{j=16}{\mathrm{\&Sigma;}}}{\mathrm{\&omega;}}_j=1,{\mathrm{\&omega;}}_j\&Element;\left[\mathrm{0,1}\right],\&ForAll;j\&Element;\left[\mathrm{1,16}\right];$

The interval of the index that constraint requirements is all must be gone must be 0 in 1, and the weight sum of all indexs is 1.

4. the management of power use based on multiple objective programming according to claim 1 keeps away the peak policy optimization method, and it is characterized in that: described step S8 comprises following substep:

S8-1 is converted into objective function and asks minimum optimization problem;

Whether all coefficient weights are all greater than 0 in the S8-2 examination, if there is μ _iCoefficient less than 0, adopt μ _i'=1-μ _iSubstitute, guarantee that all coefficients are greater than zero;

S8-3 is with all μ in the objective function _iPress the descending ordering successively of coefficient value;

S8-4 is converted into A with all constraint conditions _iμ _iThe form of 〉=B;

S8-5 is with all μ _iBe set to 0 as the maternal case, all schemes form the binary coding of a N position, find the solution according to the binary sized order, and first feasible solution is the optimum solution of model.

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