CN104166946A - Standby and peak shaving auxiliary service cost allocation method facilitating new energy grid-connected consumption - Google Patents

Abstract

The invention provides a standby and peak shaving auxiliary service cost allocation method facilitating new energy grid-connected consumption. The method comprises the steps that a target function and constraint conditions of a new energy grid-connected consumption model based on production simulation are determined; the standby auxiliary service cost spent after new energy grid connection is calculated; new energy wind turbine generator earnings are calculated; the standby auxiliary service allocated cost is calculated; the peak shaving auxiliary service allocated cost spent by wind power connection is calculated. According to the standby and peak shaving auxiliary service cost allocation method facilitating new energy grid-connected consumption, the consumption model taking the extra service cost spent by new energy grid connection into account is built, the standby and peak shaving auxiliary service cost spent by new energy in different situations is analyzed, and therefore the allocation scheme for the auxiliary service cost spent after new energy grid connection is provided; service providing initiative of a traditional power source is effectively improved, the benefits of a provider are ensured, wind or light abandoning is reduced, and economical operation of a system is ensured.

Description

Promote the standby and peak regulation assistant service cost apportionments method that new-energy grid-connected is dissolved

Technical field

The present invention relates to a kind of methodology, be specifically related to a kind of standby and peak regulation assistant service cost apportionments method that promotes that new-energy grid-connected is dissolved.

Background technology

That the Wind Power Development of China presents is fast-growth, wind energy turbine set scale is large, fed distance is far away, carry voltage high, in features such as electrical network ends.Due to THE WIND ENERGY RESOURCES IN CHINA galore offset from load center away from, large-scale wind-power electricity generation cannot on-site elimination, have and there is no the factors such as corresponding assistant service incentive measure, has more aggravated wind-powered electricity generation to the dissolve impact of ability of area power grid, abandons wind serious.

Present stage, many developed countries have successfully realized the solution bundle of assistant service and electric energy service, have hewed out efficiently in assistant service market, and participant in the market submits to respectively margin capacity quotation and standby electric weight to offer.According to capacity price, sort.If these generators of system needs in service provide electric weight, from capacity price, in target genset, by electric weight marked price order from low to high, obtain required electric weight.No matter whether successful quoter is scheduled it, all will obtain a margin capacity expense, when margin capacity is scheduled loading, quoter also will obtain electric weight electricity charge.This mechanism is conducive to improve the enthusiasm that unit provides Reserve Ancillary Service, thereby provides good condition for the development of new forms of energy.

Calling according to the principle of " scheduling on demand " of the most of assistant service of China, according to genset characteristic and electrical network situation, arranges genset to bear assistant service by power dispatching station.

Fast development along with new forms of energy such as wind-powered electricity generation photovoltaics, its grid-connected demand to system supplymentary service increases day by day, need electric system other types unit that more assistant service is provided, if still carry out the existing assistant service administrative mechanism of China, existing offset rule is not considered the assistant service demand increment problem that the similar new forms of energy such as wind-powered electricity generation cause, and, Reserve Ancillary Service expense is shared between the whole network power generating source, if share and be equivalent in fact bear share the expenses by other type unit more by existing rule, corroded the rational interests of the unit of other type, to such an extent as to conventional rack is reluctant to mean wind-powered electricity generation and is born standby and to cause abandoning wind serious.

Summary of the invention

In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of standby and peak regulation assistant service cost apportionments method that promotes that new-energy grid-connected is dissolved, by foundation, consider to cause after new-energy grid-connected the model of dissolving of extra-service cost of serving, analyze the standby and peak regulation assistant service cost that under different sights, new forms of energy cause, the pool schemes of assistant service cost after proposition new-energy grid-connected; Can effectively improve the interests that conventional power source provides assistant service enthusiasm and guarantees supplier, reduce and to abandon wind/abandon light, guarantee systematic economy operation.

In order to realize foregoing invention object, the present invention takes following technical scheme:

The invention provides a kind of standby and peak regulation assistant service cost apportionments method that promotes that new-energy grid-connected is dissolved, said method comprising the steps of:

Step 1: determine new-energy grid-connected based on production simulation dissolve objective function and the constraint condition of model;

Step 2: calculate the Reserve Ancillary Service cost after new-energy grid-connected;

Step 3: calculate new forms of energy wind-powered electricity generation unit income;

Step 4: calculate Reserve Ancillary Service overhead cost;

Step 5: calculate the peak regulation assistant service overhead cost that wind-powered electricity generation access causes.

In described step 1, the dissolve objective function of model of the new-energy grid-connected based on production simulation is expressed as:

$\begin{array}{c}\mathrm{VOBJ}=\min (\mathrm{\Σ\Σ}{c}^{\mathrm{output}}\left(p\right)+\mathrm{\Σ}{c}^{\mathrm{trans}}\left(p_{\mathrm{trans}}\right)+\mathrm{\Σ}{c}^{\mathrm{investment}}\left(p_{\mathrm{investment}}\right)+\\ \underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(R_t^{\mathrm{up}.i}-R_t^{\mathrm{dn}.i})\·{\mathrm{Prob}}^i+\underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(P_t^{\mathrm{up}.i}-P_t^{\mathrm{dn}.i})\end{array}---\left(1\right)$

Wherein, VOBJ is system synthesis basis; Σ Σ c ^output(p) be cost of electricity-generating, p is generating capacity; Σ c ^trans(p _trans) be transmission cost, p _transfor transmission capacity; Σ c ^investment(p _investment) be newly-increased investment cost, p _investmentfor newly-increased investment capacity; for stand-by cost, Prob ⁱfor the conventional unit of i platform, provide standby probability, Cost _ifor corresponding to Prob ⁱstand-by cost is provided, with the conventional unit t of the i platform margin capacity up and down providing is constantly provided; for peak regulation cost, Cost _iunit cost while providing peak regulation for unit i, be the conventional unit t of i platform upwards peak regulation amount constantly, it is the conventional unit t of i platform downward peak regulation amount constantly.

New-energy grid-connected based on production simulation constraint condition corresponding to simulated target function of dissolving comprises equality constraint and inequality constrain; Described equality constraint comprises electrobalance constraint and the interior thermal equilibrium constraint of electric system in electric system, and inequality constrain comprises Unit Combination restrain condition, Reserve Constraint and peak regulation constraint.

In described electric system, electrobalance constraint representation is:

$\underset{{i\∈I}_r}{\mathrm{\Σ}}{P}_{i,t}+\underset{r\∈R}{\mathrm{\Σ}}((1-L_{\mathrm{loss}})\·P_{\mathrm{trans}})=P_{r,t}^{\mathrm{load}}+\underset{{i\∈I}_{\mathrm{elecsto}}}{\mathrm{\Σ}}{P}_{i,t}^{\mathrm{stoload}}\∀t\∈T,r\∈R---\left(2\right)$

Wherein, in formula equal sign left side for all conventional units in the r of region send power and deduct loss after with the exchange power of exterior domain, right side be load in the r of region and electric energy storage device as the power of load, and P _{i, t}be that the conventional unit of i platform is at t generated output constantly, L _lossfor line loss, P _transfor transmission-line power, for t moment load power in the r of region, for the power of electric energy storage device as load, I _rfor all participation scheduling units, I _elecstofor the quantity of all electric energy storage devices as load, R is electrobalance district, and T is whole calculation interval;

In described electric system, thermal equilibrium constraint representation is:

$\underset{{i\∈I}_a}{\mathrm{\Σ}}{H}_{i,t}=H_{a,t}^{\mathrm{load}}+\underset{{i\∈I}_{\mathrm{heat}\_\mathrm{sto}}}{\mathrm{\Σ}}{H}_{i,t}^{\mathrm{sto}\_\mathrm{load}}\∀t\∈T,a\∈A---\left(3\right)$

Wherein, in formula, exert oneself for all heat energy in regional a in left side and, right side be thermal load in regional a with hot energy storage device as the power of loading, H _i,tbe the conventional unit of i platform in t thermal power constantly, for t moment thermal load power in regional a, for t hot energy storage device power of the moment in regional a, I _afor all heat supply unit numbers, I _{heat_sto}for hot energy storage device in regional a is as the quantity of thermal load, T is whole calculation interval, and A is thermal equilibrium district.

Described Unit Combination restrain condition comprises unit generation power constraint, the constraint of unit climbing rate and Unit Commitment time-constrain;

(1) unit generation power constraint is expressed as:

$P_{i,t}^{\min }\≤P_{i,t}\≤P_{i,t}^{\max }---\left(4\right)$

Wherein, P _i,tbe i platform genset at t generated output constantly, with be respectively i platform genset in t generated output bound constantly;

(2) unit climbing rate constraint representation is:

$\mathrm{\Δ}{P}_{i,t}\≤\mathrm{\Δ}{P}_{i,t}^{\max }---\left(5\right)$

Wherein, Δ P _i,tbe i platform genset at t generated output changing value constantly, be that i platform genset changes maximal value at t generated output constantly;

(3) Unit Commitment time-constrain is expressed as:

T ^on≥T ^minon,T ^off≥T ^minoff (6)

Wherein, T ^onand T ^offbe respectively genset and start and stand-by time, T ^minonand T ^minoffbeing respectively genset starts and stand-by time lower limit.

Described Reserve Constraint comprises make progress standby Constraint and downward standby Constraint, is expressed as:

$\mathrm{Cap}{P}_{a,i}\·\mathrm{VP}{\mathrm{on}}_{a,i}-{\mathrm{VP}}_{a,i}\≥\underset{i}{\mathrm{\Σ}}{\mathrm{VR}}_{a,i}^{\mathrm{up}}---\left(7\right)$

${\mathrm{VP}}_{a,i}-\mathrm{CapP}{\min }_{a,i}\·\mathrm{VPo}{n}_{a,i}\≥\underset{i}{\mathrm{\Σ}}{\mathrm{VR}}_{a,i}^{\mathrm{dn}}---\left(8\right)$

Wherein, CapP _a,ibe respectively the unit capacity of i platform genset in a region, VPon _a,irepresent that in a region, whether i platform genset is online, VP _a,ifor i platform genset in a region is exerted oneself, for the available upwards regulated quantity of i platform genset in a region, CapPmin _a,ifor the minimum load of i platform genset in a region, for the available downward regulated quantity of i platform genset in a region.

Described peak regulation constraint comprises upwards peak constraint and peak constraint downwards;

Upwards peak constraint representation is:

${\mathrm{VP}}_{\mathrm{at}}^{\mathrm{up}.i}\≤{\mathrm{CapP}}_{\mathrm{at}}---\left(9\right)$

Peak constraint representation is downwards:

$\min {\mathrm{CapP}}_{\mathrm{at}}\≤{\mathrm{VP}}_{\mathrm{at}}^{\mathrm{dn},i}\≤{\mathrm{CapP}}_{\mathrm{at}}---\left(10\right)$

Wherein, for the peak that makes progress; CapP _atfor unit rated capacity; MinCapP _atfor unit minimum technology is exerted oneself; for downward peak.

In described step 2, the Reserve Ancillary Service cost after new-energy grid-connected is used represent, have:

${\mathrm{Cost}}_{\mathrm{new}}^{\mathrm{reserve}}=(C_{\mathrm{current}}+{\mathrm{Cost}}_{\mathrm{reserve}\_\mathrm{wind}})*110\%---\left(11\right)$

Wherein, C _currentfor compensating Reserve Ancillary Service cost, Cost under current mechanism _{reserve_wind}for causing extra assistant service cost after new-energy grid-connected, be expressed as:

Cost _{reserve_wind}＝Cost _{wind_forecasting_error}-Cost _{perfect_wind} (12)

Wherein, Cost _{wind_forecasting_error}for new forms of energy prediction error be 20% system reserve cost, Cost _{perfect_wind}for new forms of energy prediction error is the system reserve cost of 0 o'clock, be expressed as:

${\mathrm{Cost}}_{\mathrm{wind}\_\mathrm{forecasting}\_\mathrm{error}}=\underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(R_{t\_\mathrm{winderror}}^{\mathrm{up}.i}-R_{t\_\mathrm{winderror}}^{\mathrm{dn}.i})\·{\mathrm{Prob}}^i---\left(13\right)$

${\mathrm{Cost}}_{\mathrm{perfect}\_\mathrm{wind}}=\underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(R_{t\_\mathrm{perfect}\_\mathrm{wind}}^{\mathrm{up}.i}-R_{t\_\mathrm{perfect}\_\mathrm{wind}}^{\mathrm{dn}.i})\·{\mathrm{Prob}}^i---\left(14\right)$

Wherein, Prob ⁱfor the conventional unit of i platform, provide standby probability, Cost _ifor corresponding to Prob ⁱstand-by cost is provided, with while being respectively the conventional unit t of i platform, be engraved in the margin capacity up and down that wind-powered electricity generation prediction error provides for 20% time, with the margin capacity up and down of wind-powered electricity generation prediction error for providing for 0 o'clock is provided while being respectively the conventional unit t of i platform.

In described step 3, new forms of energy wind-powered electricity generation unit income B _windrepresent, have:

B _wind＝C _{curtail_Reduced}*P _wind (15)

Wherein, C _{curtail_Reduced}for what system provided standby rear minimizing, abandon wind-powered electricity generation amount, P _windfor wind-powered electricity generation price.

In described step 4, Reserve Ancillary Service overhead cost Wind _propotionrepresent, have:

Wind _propotion＝B _wind-Wind _taken (16)

Wherein, Wind _takenfor the cost that wind-powered electricity generation is born, be more different Reserve Ancillary Service compensation mechanism, be divided into following two kinds of situations:

(a), while being born separately by wind-powered electricity generation enterprise, the cost table that wind-powered electricity generation is born is shown:

Wind _taken＝Wind′ _taken＝Cost _{reserve_wind} (17)

Wherein, Wind ' _takenfor the cost that wind-powered electricity generation enterprise bears separately, Cost _{reserve_wind}for causing extra assistant service cost after new-energy grid-connected;

(b), by wind-powered electricity generation enterprise and user during according to prediction error ratio shared, the cost table that wind-powered electricity generation is born is shown:

Wind _taken＝Wind″ _taken+Load _taken (18)

Wherein, Wind " _takenand Load _takenbe respectively the stand-by cost that cost that wind-powered electricity generation enterprise bears and user bear, be expressed as:

Wind″ _taken＝Cost _{reserve_wind}*(σ _wind/(σ _wind+σ _load)) (19)

Load _taken＝Cost _{reserve_wind}*(σ _load/(σ _wind+σ _load)) (20)

Wherein, σ _windwind-powered electricity generation prediction error, σ _loadfor Load Forecasting error.

In described step 5, the peak regulation assistant service overhead cost that wind-powered electricity generation access causes adopts has wind-powered electricity generation access and the difference of the peak regulation assistant service cost causing without wind-powered electricity generation access to calculate, and has:

${\mathrm{Cost}}_{\mathrm{peak}\_\mathrm{re}\_\mathrm{wind}}={\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{wind}}-{\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{no}\_\mathrm{wind}}---\left(21\right)$

Wherein, Cost _{peak_re_wind}for wind-powered electricity generation accesses the peak regulation assistant service overhead cost causing; for the peak regulation assistant service cost that has wind-powered electricity generation access to cause, the peak regulation assistant service cost causing without wind-powered electricity generation access, is expressed as:

${\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{wind}}=\mathrm{\Σ}{\mathrm{Cost}}_i\·(P_{t\_\mathrm{wind}}^{\mathrm{up}.i}-P_{t\_\mathrm{wind}}^{\mathrm{dn}.i})---\left(22\right)$

${\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{no}\_\mathrm{wind}}=\mathrm{\Σ}{\mathrm{Cost}}_i\·(P_{t\_\mathrm{no}\_\mathrm{wind}}^{\mathrm{up}.i}-P_{t\_\mathrm{no}\_\mathrm{wind}}^{\mathrm{dn}.i})---\left(23\right)$

Wherein, with the upwards peak regulation amount in the conventional unit t moment of i platform while indicating respectively wind-powered electricity generation access and downwards peak regulation amount; with be illustrated respectively in upwards peak regulation amount and the downward peak regulation amount in the conventional unit t moment of i platform while not having wind-powered electricity generation to access.

Compared with prior art, beneficial effect of the present invention is:

The invention provides a kind of standby and peak regulation assistant service cost apportionments method that promotes that new-energy grid-connected is dissolved, by foundation, consider to cause after new-energy grid-connected the model of dissolving of extra-service cost of serving, analyze the standby and peak regulation assistant service cost that under different sights, new forms of energy cause, the pool schemes of assistant service cost after proposition new-energy grid-connected; Can effectively improve the interests that conventional power source provides assistant service enthusiasm and guarantees supplier, reduce and to abandon wind/abandon light, guarantee systematic economy operation.

Accompanying drawing explanation

Fig. 1 is the standby and peak regulation assistant service cost apportionments method flow diagram that promotes that new-energy grid-connected is dissolved.

Embodiment

Below in conjunction with accompanying drawing, the present invention is described in further detail.

As Fig. 1, the invention provides a kind of standby and peak regulation assistant service cost apportionments method that promotes that new-energy grid-connected is dissolved, said method comprising the steps of:

Step 1: determine new-energy grid-connected based on production simulation dissolve objective function and the constraint condition of model;

Step 2: calculate the Reserve Ancillary Service cost after new-energy grid-connected;

Step 3: calculate new forms of energy wind-powered electricity generation unit income;

Step 4: calculate Reserve Ancillary Service overhead cost;

Step 5: calculate the peak regulation assistant service overhead cost that wind-powered electricity generation access causes.

In described step 1, the dissolve objective function of model of the new-energy grid-connected based on production simulation is expressed as:

$\begin{array}{c}\mathrm{VOBJ}=\min (\mathrm{\Σ\Σ}{c}^{\mathrm{output}}\left(p\right)+\mathrm{\Σ}{c}^{\mathrm{trans}}\left(p_{\mathrm{trans}}\right)+\mathrm{\Σ}{c}^{\mathrm{investment}}\left(p_{\mathrm{investment}}\right)+\\ \underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(R_t^{\mathrm{up}.i}-R_t^{\mathrm{dn}.i})\·{\mathrm{Prob}}^i+\underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(P_t^{\mathrm{up}.i}-P_t^{\mathrm{dn}.i})\end{array}---\left(1\right)$

Wherein, VOBJ is system synthesis basis; Σ Σ c ^output(p) be cost of electricity-generating, p is generating capacity; Σ c ^trans(p _trans) be transmission cost, p _transfor transmission capacity; Σ c ^investment(p _investment) be newly-increased investment cost, p _investmentfor newly-increased investment capacity; for stand-by cost, Prob ⁱfor the conventional unit of i platform, provide standby probability, Cost _ifor corresponding to Prob ⁱstand-by cost is provided, with the conventional unit t of the i platform margin capacity up and down providing is constantly provided; for peak regulation cost, Cost _iunit cost while providing peak regulation for unit i, be the conventional unit t of i platform upwards peak regulation amount constantly, it is the conventional unit t of i platform downward peak regulation amount constantly.

New-energy grid-connected based on production simulation constraint condition corresponding to simulated target function of dissolving comprises equality constraint and inequality constrain; Described equality constraint comprises electrobalance constraint and the interior thermal equilibrium constraint of electric system in electric system, and inequality constrain comprises Unit Combination restrain condition, Reserve Constraint and peak regulation constraint.

In described electric system, electrobalance constraint representation is:

$\underset{{i\∈I}_r}{\mathrm{\Σ}}{P}_{i,t}+\underset{r\∈R}{\mathrm{\Σ}}((1-L_{\mathrm{loss}})\·P_{\mathrm{trans}})=P_{r,t}^{\mathrm{load}}+\underset{{i\∈I}_{\mathrm{elecsto}}}{\mathrm{\Σ}}{P}_{i,t}^{\mathrm{stoload}}\∀t\∈T,r\∈R---\left(2\right)$

Wherein, in formula equal sign left side for all conventional units in the r of region send power and deduct loss after with the exchange power of exterior domain, right side be load in the r of region and electric energy storage device as the power of load, and P _i,tbe that the conventional unit of i platform is at t generated output constantly, L _lossfor line loss, P _transfor transmission-line power, for t moment load power in the r of region, for the power of electric energy storage device as load, I _rfor all participation scheduling units, I _elecstofor the quantity of all electric energy storage devices as load, R is electrobalance district, and T is whole calculation interval;

In described electric system, thermal equilibrium constraint representation is:

$\underset{{i\∈I}_a}{\mathrm{\Σ}}{H}_{i,t}=H_{a,t}^{\mathrm{load}}+\underset{{i\∈I}_{\mathrm{heat}\_\mathrm{sto}}}{\mathrm{\Σ}}{H}_{i,t}^{\mathrm{sto}\_\mathrm{load}}\∀t\∈T,a\∈A---\left(3\right)$

Wherein, in formula, exert oneself for all heat energy in regional a in left side and, right side be thermal load in regional a with hot energy storage device as the power of loading, H _i,tbe the conventional unit of i platform in t thermal power constantly, for t moment thermal load power in regional a, for t hot energy storage device power of the moment in regional a, I _afor all heat supply unit numbers, I _{heat_sto}for hot energy storage device in regional a is as the quantity of thermal load, T is whole calculation interval, and A is thermal equilibrium district.

Described Unit Combination restrain condition comprises unit generation power constraint, the constraint of unit climbing rate and Unit Commitment time-constrain;

(1) unit generation power constraint is expressed as:

$P_{i,t}^{\min }\≤P_{i,t}\≤P_{i,t}^{\max }---\left(4\right)$

Wherein, P _i,tbe i platform genset at t generated output constantly, with be respectively i platform genset in t generated output bound constantly;

Fired power generating unit regulates the speed of exerting oneself slow, and climbing rate and rate of descent to unit in model limit, and reactive system is received the adaptability of wind-powered electricity generation more specifically, and the power in former and later two moment of unit changes the variation maximal value that is less than setting.

(2) unit climbing rate constraint representation is:

$\mathrm{\Δ}{P}_{i,t}\≤\mathrm{\Δ}{P}_{i,t}^{\max }---\left(5\right)$

Wherein, Δ P _i,tbe i platform genset at t generated output changing value constantly, be that i platform genset changes maximal value at t generated output constantly;

(3) Unit Commitment time-constrain is expressed as:

T ^on≥T ^minon,T ^off≥T ^minoff (6)

Wherein, T ^onand T ^offbe respectively genset and start and stand-by time, T ^minonand T ^minoffbeing respectively genset starts and stand-by time lower limit.

Genset has the rear minimum operation time of startup and closes down the rear minimum shut-in time, once unit starts, the time of unit operation is greater than and equals the minimum operation time, once unit is closed, the time that unit is closed is greater than and equals the minimum shut-in time.

Described Reserve Constraint comprises make progress standby Constraint and downward standby Constraint, is expressed as:

$\mathrm{Cap}{P}_{a,i}\·\mathrm{VP}{\mathrm{on}}_{a,i}-{\mathrm{VP}}_{a,i}\≥\underset{i}{\mathrm{\Σ}}{\mathrm{VR}}_{a,i}^{\mathrm{up}}---\left(7\right)$

${\mathrm{VP}}_{a,i}-\mathrm{CapP}{\min }_{a,i}\·\mathrm{VPo}{n}_{a,i}\≥\underset{i}{\mathrm{\Σ}}{\mathrm{VR}}_{a,i}^{\mathrm{dn}}---\left(8\right)$

Wherein, CapP _a,ibe respectively the unit capacity of i platform genset in a region, VPon _a,irepresent that in a region, whether i platform genset is online, VP _a,ifor i platform genset in a region is exerted oneself, for the available upwards regulated quantity of i platform genset in a region, CapPmin _a,ifor the minimum load of i platform genset in a region, for the available downward regulated quantity of i platform genset in a region.

Described peak regulation constraint comprises upwards peak constraint and peak constraint downwards;

Upwards peak constraint representation is:

${\mathrm{VP}}_{\mathrm{at}}^{\mathrm{up}.i}\≤{\mathrm{CapP}}_{\mathrm{at}}---\left(9\right)$

Peak constraint representation is downwards:

$\min {\mathrm{CapP}}_{\mathrm{at}}\≤{\mathrm{VP}}_{\mathrm{at}}^{\mathrm{dn},i}\≤{\mathrm{CapP}}_{\mathrm{at}}---\left(10\right)$

Wherein, for the peak that makes progress; CapP _atfor unit rated capacity; MinCapP _atfor unit minimum technology is exerted oneself; for downward peak.

By cost analysis under different sights, the newly-increased assistant service cost of system after new-energy grid-connected can be obtained, thereby applicable assistant service quantum of compensation after new-energy grid-connected can be provided, set up new assistant service cost apportionments.

Reserve Ancillary Service is mainly because the new forms of energy prediction deviation of exerting oneself brings, so the Reserve Ancillary Service that causes of new forms of energy access should adopt the difference that accesses the Reserve Ancillary Service that integrated forecasting deviation causes without new forms of energy access prediction deviation and new forms of energy to calculate.

In described step 2, the Reserve Ancillary Service cost after new-energy grid-connected is used represent, have:

${\mathrm{Cost}}_{\mathrm{new}}^{\mathrm{reserve}}=(C_{\mathrm{current}}+{\mathrm{Cost}}_{\mathrm{reserve}\_\mathrm{wind}})*110\%---\left(11\right)$

Wherein, C _currentfor compensating Reserve Ancillary Service cost, Cost under current mechanism _{reserve_wind}for causing extra assistant service cost after new-energy grid-connected, be expressed as:

Cost _{reserve_wind}＝Cost _{wind_forecasting_error}-Cost _{perfect_wind} (12)

Wherein, Cost _{wind_forecasting_error}for new forms of energy prediction error be 20% system reserve cost, Cost _{perfect_wind}for new forms of energy prediction error is the system reserve cost of 0 o'clock, be expressed as:

${\mathrm{Cost}}_{\mathrm{wind}\_\mathrm{forecasting}\_\mathrm{error}}=\underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(R_{t\_\mathrm{winderror}}^{\mathrm{up}.i}-R_{t\_\mathrm{winderror}}^{\mathrm{dn}.i})\·{\mathrm{Prob}}^i---\left(13\right)$

${\mathrm{Cost}}_{\mathrm{perfect}\_\mathrm{wind}}=\underset{i}{\mathrm{\Σ}}{\mathrm{Cost}}_i\·(R_{t\_\mathrm{perfect}\_\mathrm{wind}}^{\mathrm{up}.i}-R_{t\_\mathrm{perfect}\_\mathrm{wind}}^{\mathrm{dn}.i})\·{\mathrm{Prob}}^i---\left(14\right)$

Wherein, Prob ⁱfor the conventional unit of i platform, provide standby probability, Cost _ifor corresponding to Prob ⁱstand-by cost is provided, with while being respectively the conventional unit t of i platform, be engraved in the margin capacity up and down that wind-powered electricity generation prediction error provides for 20% time, with the margin capacity up and down of wind-powered electricity generation prediction error for providing for 0 o'clock is provided while being respectively the conventional unit t of i platform.

In described step 3, new forms of energy wind-powered electricity generation unit income B _windrepresent, have:

B _wind＝C _{curtail_Reduced}*P _wind (15)

Wherein, C _{curtail_Reduced}for what system provided standby rear minimizing, abandon wind-powered electricity generation amount, P _windfor wind-powered electricity generation price.

In described step 4, Reserve Ancillary Service overhead cost Wind _propotionrepresent, have:

Wind _propotion＝B _wind-Wind _taken (16)

Wherein, Wind _takenfor the cost that wind-powered electricity generation is born, be more different Reserve Ancillary Service compensation mechanism, be divided into following two kinds of situations:

(a), while being born separately by wind-powered electricity generation enterprise, the cost table that wind-powered electricity generation is born is shown:

Wind _taken＝Wind′ _taken＝Cost _{reserve_wind} (17)

Wherein, Wind ' _takenfor the cost that wind-powered electricity generation enterprise bears separately, Cost _{reserve_wind}for causing extra assistant service cost after new-energy grid-connected;

(b), by wind-powered electricity generation enterprise and user during according to prediction error ratio shared, the cost table that wind-powered electricity generation is born is shown:

Wind _taken＝Wind″ _taken+Load _taken (18)

Wherein, Wind " _takenand Load _takenbe respectively the stand-by cost that cost that wind-powered electricity generation enterprise bears and user bear, be expressed as:

Wind″ _taken＝Cost _{reserve_wind}*(σ _wind/(σ _wind+σ _load)) (19)

Load _taken＝Cost _{reserve_wind}*(σ _load/(σ _wind+σ _load)) (20)

Wherein, σ _windwind-powered electricity generation prediction error, σ _loadfor Load Forecasting error.

Through calculating, find, if the assistant service cost of merely bearing its initiation by wind energy turbine set is difficulty too sometimes, insufficient section can be considered to be born in proportion according to prediction error size by user and wind energy turbine set, the part Reserve Ancillary Service cost that user bears can be collected from genset in actual motion, and ancillary service cost can embody in the electricity charge.

Developed countries economic development in nearly 30 years is rapid, and nuclear power proportion increases very fast, and thermoelectricity peaking problem is just mentioned agenda as far back as the beginning of the sixties.They not only adapt to the transformation of peaking operation to the former unit that is designed to basic load, but also research and design a collection of large capacity shoulder load unit, especially West Europe and Japan, maneuverability to new unit takes much count of, and newly-designed large unit adopts Spiral Coil Waterwall, thin wall cylinder, narrow flange or cuff structure more.Welded disc turbine rotor and easily larger bypath system.These units are more than 500MW, even the super overlooking unit of 1000MW is also all designed to pressure-variable and two-shift operation, the U.S. payes attention to not this in one's early years, in recent years American Electric Power research association has organized several equipment manufacturings, Utilities Electric Co. and consultant engineering corporation to select four actual base lotus units to carry out exemplary transformation, test and study, has finally write out accordingly the guide rule of a versatility.

The < < factory assistant service management tentative method > > that generates electricity by way of merging two or more grid systems is divided into free peak regulation and paid peak regulation 2 classes by peak regulation assistant service: free peak regulation is the basic peak modulation capacity that unit should reach, and does not compensate; On basic capacity is paid peak regulation, adopts the scheme of determining in advance compensation standard, adequate remedy.In the criteria for classifying of paid peak regulation and free peak regulation, each region is different.Such as: North China requires the basic peak modulation capacity of non-heat supply fired power generating unit should reach 50% of rated capacity; Central China requires 300MW and above unit to reach 50%, 300MW to be issued to 45%.Determining mostly of various places standard determined by quilitative methods such as investigation, informal discussions.

Owing in most cases can increasing the peak-valley difference of system after wind-electricity integration, to peak-load regulating, bring difficulty, and existing assistant service peak regulation compensation mechanism, ancillary service cost is shared between the whole network conventional power source, and do not consider the assistant service demand increment problem that wind-powered electricity generation causes, therefore, inadaptable at present more and more wind-electricity integration situations.On step 5 basis that peak regulation cost changes after analytical calculation wind-electricity integration, provided the grid-connected peak regulation assistant service suggestion of reply large-scale wind power.

In described step 5, the peak regulation assistant service overhead cost that wind-powered electricity generation access causes adopts has wind-powered electricity generation access and the difference of the peak regulation assistant service cost causing without wind-powered electricity generation access to calculate, and has:

${\mathrm{Cost}}_{\mathrm{peak}\_\mathrm{re}\_\mathrm{wind}}={\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{wind}}-{\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{no}\_\mathrm{wind}}---\left(21\right)$

Wherein, Cost _{peak_re_wind}for wind-powered electricity generation accesses the peak regulation assistant service overhead cost causing; for the peak regulation assistant service cost that has wind-powered electricity generation access to cause, the peak regulation assistant service cost causing without wind-powered electricity generation access, is expressed as:

${\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{wind}}=\mathrm{\&Sigma;}{\mathrm{Cost}}_i\&CenterDot;(P_{t\_\mathrm{wind}}^{\mathrm{up}.i}-P_{t\_\mathrm{wind}}^{\mathrm{dn}.i})---\left(22\right)$

${\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{no}\_\mathrm{wind}}=\mathrm{\&Sigma;}{\mathrm{Cost}}_i\&CenterDot;(P_{t\_\mathrm{no}\_\mathrm{wind}}^{\mathrm{up}.i}-P_{t\_\mathrm{no}\_\mathrm{wind}}^{\mathrm{dn}.i})---\left(23\right)$

Wherein, with the upwards peak regulation amount in the conventional unit t moment of i platform while indicating respectively wind-powered electricity generation access and downwards peak regulation amount; with be illustrated respectively in upwards peak regulation amount and the downward peak regulation amount in the conventional unit t moment of i platform while not having wind-powered electricity generation to access.

Below Main Analysis the cost paid while carrying out dark peak regulation of thermoelectricity peak regulation unit.

The cost of paying due to degree of depth peaking generation power supply is, the income that the financial cost of paying during the dark peak regulation of power generating source and the generated energy reducing due to dark peak regulation reduce, that is:

P _{Peak_re}＝P _{caol_deep}+P _caol+G _reduced (24)

P _{caol_deep}＝(C _{coal_deep}-C _{coal_regular})*G _{deep_re}*C _caol (25)

Wherein, P _{caol_deep}the financial cost of paying during the dark peak regulation of power generating source, P _caolfor thermoelectricity price, G _reducedfor the generated energy that power generating source reduces due to dark peak regulation, C _{coal_deep}corresponding coa consumption rate during for dark peak regulation, C _{coal_regular}corresponding coa consumption rate during for power generation peak adjusting, G _{deep_re}for electric weight, C _caolfor coal price.

Wind-powered electricity generation income is for providing the wind-powered electricity generation amount of abandoning of assistant service minimizing to be multiplied by wind-powered electricity generation rate for incorporation into the power network, wind-powered electricity generation income due to system:

B _wind＝C _{curtail_Reduced}*P _wind (26)

By above formula, calculated, the nearly 150/MWh of peak regulation cost causing after unit wind-electricity integration, therefore, after wind-electricity integration, be the interests that guarantee conventional power source, and improve the enthusiasm that conventional power source provides peak regulation assistant service, the peak regulation cost causing after at least increasing wind-electricity integration on existing making up price, at least increases 150/MWh.

Current rule stipulates that dark peak regulation making up price is 5000 yuan/ten thousand kilowatt hours.According to cost of compensation and suitable benefited principle, for the genset of degree of depth peak regulation, compensating newly-increased cost is 200 yuan/MWh, considers that wind-electricity integration causes after extra peak regulation cost, to the making up price suggestion of degree of depth peak regulation, is 7000 yuan/ten thousand kilowatt hours.

The peak regulation cost that wind-powered electricity generation access electrical network causes goes out fluctuation by wind-powered electricity generation to be caused, is mainly odjective cause, can be born by consumer at present properly, in actual motion, can collect from all genset, and ancillary service cost can embody in the electricity charge.

Through above measuring and calculating, find:

According to electricity volume mode, share Reserve Ancillary Service cost, can cause the assistant service cost that wind-powered electricity generation is born to be less than the degree of its initiation, so require wind-powered electricity generation to add existing assistant service cost apportionments pattern to be just unfair, need be improved.

The stand-by cost that wind-powered electricity generation access electrical network causes is mainly caused by wind-powered electricity generation prediction error, is mainly subjective factor, and therefore, this part cost is proper according to the prediction error pro rata distribution of wind-powered electricity generation and load; The peak regulation cost that wind-powered electricity generation access electrical network causes goes out fluctuation by wind-powered electricity generation to be caused, it is mainly odjective cause, can be born by consumer more at present proper (in long term, can be compensated by market), in actual motion, can collect from all genset, ancillary service cost can embody in the electricity charge.

Stand-by cost and wind-powered electricity generation income that table 1 causes for wind-electricity integration, the unit capacity stand-by cost that table 2 causes for wind-electricity integration, table 3 is for to share stand-by cost number result according to originally sharing machine-processed all kinds of power supply, table 4 is shared result for the stand-by cost difference that wind-electricity integration causes, table 5 is all kinds of unit generation amounts under different thermoelectricity minimum output sights, and table 6 is different peak regulation degree of depth Generation Side cost analysis results after wind-electricity integration.

Table 1

Different sights	Wind-powered electricity generation capacity (MW)	Systematic running cost is used (1,000,000 yuan)	Wind-powered electricity generation income (MWh)	Stand-by cost (1,000,000 yuan)
					Before wind-electricity integration	0	8.95	0	1.2
After wind-electricity integration	2500	8.85	1000	1.8

Table 2

Table 3

	Thermoelectricity	Wind-powered electricity generation	Water power
				Generated energy (MWh)	1200000	60000	60000
Bear standby sharing (1,000,000 yuan)	1.6	0.1	0.1

Table 4

Different wind-electricity integration capacity	By wind-powered electricity generation, enterprise bears	By wind-powered electricity generation enterprise and user's shared
			Bear amount (1,000,000)	0.6	0.4/0.2
Because reducing, abandon wind income (1,000,000)	0.6	0.6
			The whole income of wind-powered electricity generation (1,000,000)	0	0.2

Table 5

Table 6

Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; those of ordinary skill in the field still can modify or be equal to replacement the specific embodiment of the present invention with reference to above-described embodiment; these do not depart from any modification of spirit and scope of the invention or are equal to replacement, within the claim protection domain of the present invention all awaiting the reply in application.

Claims (11)

1. promote the standby and peak regulation assistant service cost apportionments method that new-energy grid-connected is dissolved, it is characterized in that: said method comprising the steps of:

Step 1: determine new-energy grid-connected based on production simulation dissolve objective function and the constraint condition of model;

Step 2: calculate the Reserve Ancillary Service cost after new-energy grid-connected;

Step 3: calculate new forms of energy wind-powered electricity generation unit income;

Step 4: calculate Reserve Ancillary Service overhead cost;

Step 5: calculate the peak regulation assistant service overhead cost that wind-powered electricity generation access causes.

2. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 1 is dissolved, is characterized in that: in described step 1, the dissolve objective function of model of the new-energy grid-connected based on production simulation is expressed as:

$\begin{array}{c}\mathrm{VOBJ}=\min (\mathrm{\&Sigma;\&Sigma;}{c}^{\mathrm{output}}\left(p\right)+\mathrm{\&Sigma;}{c}^{\mathrm{trans}}\left(p_{\mathrm{trans}}\right)+\mathrm{\&Sigma;}{c}^{\mathrm{investment}}\left(p_{\mathrm{investment}}\right)+\\ \underset{i}{\mathrm{\&Sigma;}}{\mathrm{Cost}}_i\&CenterDot;(R_t^{\mathrm{up}.i}-R_t^{\mathrm{dn}.i})\&CenterDot;{\mathrm{Prob}}^i+\underset{i}{\mathrm{\&Sigma;}}{\mathrm{Cost}}_i\&CenterDot;(P_t^{\mathrm{up}.i}-P_t^{\mathrm{dn}.i})\end{array}---\left(1\right)$

Wherein, VOBJ is system synthesis basis; Σ Σ c ^output(p) be cost of electricity-generating, p is generating capacity; Σ c ^trans(p _trans) be transmission cost, p _transfor transmission capacity; Σ c ^investment(p _investment) be newly-increased investment cost, p _investmentfor newly-increased investment capacity; for stand-by cost, Prob ⁱfor the conventional unit of i platform, provide standby probability, Cost _ifor corresponding to Prob ⁱstand-by cost is provided, with the conventional unit t of the i platform margin capacity up and down providing is constantly provided; for peak regulation cost, Cost _iunit cost while providing peak regulation for unit i, be the conventional unit t of i platform upwards peak regulation amount constantly, it is the conventional unit t of i platform downward peak regulation amount constantly.

3. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 2 is dissolved, is characterized in that: constraint condition corresponding to simulated target function of dissolving of the new-energy grid-connected based on production simulation comprises equality constraint and inequality constrain; Described equality constraint comprises electrobalance constraint and the interior thermal equilibrium constraint of electric system in electric system, and inequality constrain comprises Unit Combination restrain condition, Reserve Constraint and peak regulation constraint.

4. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 3 is dissolved, is characterized in that: in described electric system, electrobalance constraint representation is:

$\underset{{i\&Element;I}_r}{\mathrm{\&Sigma;}}{P}_{i,t}+\underset{r\&Element;R}{\mathrm{\&Sigma;}}((1-L_{\mathrm{loss}})\&CenterDot;P_{\mathrm{trans}})=P_{r,t}^{\mathrm{load}}+\underset{{i\&Element;I}_{\mathrm{elecsto}}}{\mathrm{\&Sigma;}}{P}_{i,t}^{\mathrm{stoload}}\&ForAll;t\&Element;T,r\&Element;R---\left(2\right)$

Wherein, in formula equal sign left side for all conventional units in the r of region send power and deduct loss after with the exchange power of exterior domain, right side be load in the r of region and electric energy storage device as the power of load, and P _i,tbe that the conventional unit of i platform is at t generated output constantly, L _lossfor line loss, P _transfor transmission-line power, for t moment load power in the r of region, for the power of electric energy storage device as load, I _rfor all participation scheduling units, I _elecstofor the quantity of all electric energy storage devices as load, R is electrobalance district, and T is whole calculation interval;

In described electric system, thermal equilibrium constraint representation is:

$\underset{{i\&Element;I}_a}{\mathrm{\&Sigma;}}{H}_{i,t}=H_{a,t}^{\mathrm{load}}+\underset{{i\&Element;I}_{\mathrm{heat}\_\mathrm{sto}}}{\mathrm{\&Sigma;}}{H}_{i,t}^{\mathrm{sto}\_\mathrm{load}}\&ForAll;t\&Element;T,a\&Element;A---\left(3\right)$

Wherein, in formula, exert oneself for all heat energy in regional a in left side and, right side be thermal load in regional a with hot energy storage device as the power of loading, H _i,tbe the conventional unit of i platform in t thermal power constantly, for t moment thermal load power in regional a, for t hot energy storage device power of the moment in regional a, I _afor all heat supply unit numbers, I _{heat_sto}for hot energy storage device in regional a is as the quantity of thermal load, T is whole calculation interval, and A is thermal equilibrium district.

5. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 3 is dissolved, is characterized in that: described Unit Combination restrain condition comprises unit generation power constraint, the constraint of unit climbing rate and Unit Commitment time-constrain;

(1) unit generation power constraint is expressed as:

$P_{i,t}^{\min }\&le;P_{i,t}\&le;P_{i,t}^{\max }---\left(4\right)$

Wherein, P _i,tbe i platform genset at t generated output constantly, with be respectively i platform genset in t generated output bound constantly;

(2) unit climbing rate constraint representation is:

$\mathrm{\&Delta;}{P}_{i,t}\&le;\mathrm{\&Delta;}{P}_{i,t}^{\max }---\left(5\right)$

Wherein, Δ P _i,tbe i platform genset at t generated output changing value constantly, be that i platform genset changes maximal value at t generated output constantly;

(3) Unit Commitment time-constrain is expressed as:

T ^on≥T ^minon,T ^off≥T ^minoff (6)

Wherein, T ^onand T ^offbe respectively genset and start and stand-by time, T ^minonand T ^minoffbeing respectively genset starts and stand-by time lower limit.

6. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 3 is dissolved, is characterized in that: described Reserve Constraint comprises make progress standby Constraint and downward standby Constraint, is expressed as:

$\mathrm{Cap}{P}_{a,i}\&CenterDot;\mathrm{VP}{\mathrm{on}}_{a,i}-{\mathrm{VP}}_{a,i}\&GreaterEqual;\underset{i}{\mathrm{\&Sigma;}}{\mathrm{VR}}_{a,i}^{\mathrm{up}}---\left(7\right)$

${\mathrm{VP}}_{a,i}-\mathrm{CapP}{\min }_{a,i}\&CenterDot;\mathrm{VPo}{n}_{a,i}\&GreaterEqual;\underset{i}{\mathrm{\&Sigma;}}{\mathrm{VR}}_{a,i}^{\mathrm{dn}}---\left(8\right)$

Wherein, CapP _a,ibe respectively the unit capacity of i platform genset in a region, VPon _a,irepresent that in a region, whether i platform genset is online, VP _a,ifor i platform genset in a region is exerted oneself, for the available upwards regulated quantity of i platform genset in a region, CapPmin _a,ifor the minimum load of i platform genset in a region, for the available downward regulated quantity of i platform genset in a region.

7. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 3 is dissolved, is characterized in that: described peak regulation constraint comprises upwards peak constraint and peak constraint downwards;

Upwards peak constraint representation is:

${\mathrm{VP}}_{\mathrm{at}}^{\mathrm{up}.i}\&le;{\mathrm{CapP}}_{\mathrm{at}}---\left(9\right)$

Peak constraint representation is downwards:

$\min {\mathrm{CapP}}_{\mathrm{at}}\&le;{\mathrm{VP}}_{\mathrm{at}}^{\mathrm{dn},i}\&le;{\mathrm{CapP}}_{\mathrm{at}}---\left(10\right)$

Wherein, for the peak that makes progress; CapP _atfor unit rated capacity; MinCapP _atfor unit minimum technology is exerted oneself; for downward peak.

8. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 1 is dissolved, is characterized in that: in described step 2, the Reserve Ancillary Service cost after new-energy grid-connected is used represent, have:

${\mathrm{Cost}}_{\mathrm{new}}^{\mathrm{reserve}}=(C_{\mathrm{current}}+{\mathrm{Cost}}_{\mathrm{reserve}\_\mathrm{wind}})*110\%---\left(11\right)$

Wherein, C _currentfor compensating Reserve Ancillary Service cost, Cost under current mechanism _{reserve_wind}for causing extra assistant service cost after new-energy grid-connected, be expressed as:

Cost _{reserve_wind}＝Cost _{wind_forecasting_error}-Cost _{perfect_wind} (12)

Wherein, Cost _{wind_forecasting_error}for new forms of energy prediction error be 20% system reserve cost, Cost _{perfect_wind}for new forms of energy prediction error is the system reserve cost of 0 o'clock, be expressed as:

${\mathrm{Cost}}_{\mathrm{wind}\_\mathrm{forecasting}\_\mathrm{error}}=\underset{i}{\mathrm{\&Sigma;}}{\mathrm{Cost}}_i\&CenterDot;(R_{t\_\mathrm{winderror}}^{\mathrm{up}.i}-R_{t\_\mathrm{winderror}}^{\mathrm{dn}.i})\&CenterDot;{\mathrm{Prob}}^i---\left(13\right)$ ${\mathrm{Cost}}_{\mathrm{perfect}\_\mathrm{wind}}=\underset{i}{\mathrm{\&Sigma;}}{\mathrm{Cost}}_i\&CenterDot;(R_{t\_\mathrm{perfect}\_\mathrm{wind}}^{\mathrm{up}.i}-R_{t\_\mathrm{perfect}\_\mathrm{wind}}^{\mathrm{dn}.i})\&CenterDot;{\mathrm{Prob}}^i---\left(14\right)$

Wherein, Prob ⁱfor the conventional unit of i platform, provide standby probability, Cost _ifor corresponding to Prob ⁱstand-by cost is provided, with while being respectively the conventional unit t of i platform, be engraved in the margin capacity up and down that wind-powered electricity generation prediction error provides for 20% time, with the margin capacity up and down of wind-powered electricity generation prediction error for providing for 0 o'clock is provided while being respectively the conventional unit t of i platform.

9. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 1 is dissolved, is characterized in that: in described step 3, and new forms of energy wind-powered electricity generation unit income B _windrepresent, have:

B _wind＝C _{curtail_Reduced}*P _wind (15)

Wherein, C _{curtail_Reduced}for what system provided standby rear minimizing, abandon wind-powered electricity generation amount, P _windfor wind-powered electricity generation price.

10. the standby and peak regulation assistant service cost apportionments method that promotion new-energy grid-connected according to claim 1 is dissolved, is characterized in that: in described step 4, and Reserve Ancillary Service overhead cost Wind _propotionrepresent, have:

Wind _propotion＝B _wind-Wind _taken (16)

Wherein, Wind _takenfor the cost that wind-powered electricity generation is born, be more different Reserve Ancillary Service compensation mechanism, be divided into following two kinds of situations:

(a), while being born separately by wind-powered electricity generation enterprise, the cost table that wind-powered electricity generation is born is shown:

Wind _taken＝Wind′ _taken＝Cost _{reserve_wind} (17)

Wherein, Wind ' _takenfor the cost that wind-powered electricity generation enterprise bears separately, Cost _{reserve_wind}for causing extra assistant service cost after new-energy grid-connected;

(b), by wind-powered electricity generation enterprise and user during according to prediction error ratio shared, the cost table that wind-powered electricity generation is born is shown:

Wind _taken＝Wind″ _taken+Load _taken (18)

Wherein, Wind " _takenand Load _takenbe respectively the stand-by cost that cost that wind-powered electricity generation enterprise bears and user bear, be expressed as:

Wind″ _taken＝Cost _{reserve_wind}*(σ _wind/(σ _wind+σ _load)) (19)

Load _taken＝Cost _{reserve_wind}*(σ _load/(σ _wind+σ _load)) (20)

Wherein, σ _windwind-powered electricity generation prediction error, σ _loadfor Load Forecasting error.

Standby and the peak regulation assistant service cost apportionments method that 11. promotion new-energy grid-connecteds according to claim 1 are dissolved, it is characterized in that: in described step 5, the peak regulation assistant service overhead cost that wind-powered electricity generation access causes adopts has wind-powered electricity generation access and the difference of the peak regulation assistant service cost causing without wind-powered electricity generation access to calculate, and has:

${\mathrm{Cost}}_{\mathrm{peak}\_\mathrm{re}\_\mathrm{wind}}={\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{wind}}-{\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{no}\_\mathrm{wind}}---\left(21\right)$

Wherein, Cost _{peak_re_wind}for wind-powered electricity generation accesses the peak regulation assistant service overhead cost causing; for the peak regulation assistant service cost that has wind-powered electricity generation access to cause, the peak regulation assistant service cost causing without wind-powered electricity generation access, is expressed as:

${\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{wind}}=\mathrm{\&Sigma;}{\mathrm{Cost}}_i\&CenterDot;(P_{t\_\mathrm{wind}}^{\mathrm{up}.i}-P_{t\_\mathrm{wind}}^{\mathrm{dn}.i})---\left(22\right)$

${\mathrm{Cost}}_{\mathrm{peak}}^{\mathrm{no}\_\mathrm{wind}}=\mathrm{\&Sigma;}{\mathrm{Cost}}_i\&CenterDot;(P_{t\_\mathrm{no}\_\mathrm{wind}}^{\mathrm{up}.i}-P_{t\_\mathrm{no}\_\mathrm{wind}}^{\mathrm{dn}.i})---\left(23\right)$

Wherein, with the upwards peak regulation amount in the conventional unit t moment of i platform while indicating respectively wind-powered electricity generation access and downwards peak regulation amount; with be illustrated respectively in upwards peak regulation amount and the downward peak regulation amount in the conventional unit t moment of i platform while not having wind-powered electricity generation to access.