CN103236705A - Energy storage capacity optimization method of double energy storage systems during peak clipping and valley filling of power distribution network - Google Patents

Abstract

The invention discloses an energy storage capacity optimization method of double energy storage systems during peak clipping and valley filling of a power distribution network, relating to the technical field of electric system energy storage equipment design. The energy storage capacity optimization method comprises the following steps of respectively establishing an energy storage capacity optimization objective function for two energy storage systems; setting an initial value of optimization times and energy storage capacity initial values of the two energy storage systems; respectively substituting the energy storage capacity initial values of the two energy storage systems into the energy storage capacity optimization objective function of each energy storage system, and obtaining an energy storage capacity optimal value of each energy storage system according to optimization calculation; then substituting the optimal value into the energy storage capacity optimization objective function of each energy storage system, and obtaining energy storage capacity optimal values of the two energy storage systems according to the optimization calculation; and comparing adjacent two-time optimal values, and respectively establishing the two energy storage systems according to the adjacent two-time optimal values if the adjacent two-time optimal values are the same. According to the energy storage capacity optimization method disclosed by the invention, the optimization for energy storage capacity collocation of the double energy storage systems during clipping and valley filling of the power distribution network can be realized.

Description

The optimization method that is used for the double-energy storage system stored energy capacity of power distribution network peak load shifting

Technical field

The invention belongs to electric power system energy storage device design field, relate in particular to a kind of optimization method of the double-energy storage system stored energy capacity for the power distribution network peak load shifting.

Background technology

Along with the raising of The development in society and economy and living standards of the people, the load in the electric power system presents the characteristics that the peak load difference increases year by year, number of working hours based on maximum load descends year by year.This can cause the power equipment scale of links such as sending out, fail, join to follow the increase of year peak load and increase, but the annual maximum load utilization hours number of equipment can reduce, and has reduced the economy of power equipment investment, causes the social resources utilization low.

Along with the development of modern power network technology, energy storage technology is introduced in the electric power system gradually, and energy storage can effectively realize dsm, peak-valley difference between eliminating round the clock, level and smooth load can improve the power equipment utilance, reduce power supply cost, can also promote the utilization of new forms of energy.Energy storage technology has become an important means that realizes peak load shifting in the power distribution network.Be that the battery energy storage technical research of representative has had significant progress with lithium ion battery, all-vanadium flow redox cell.

Whether rationally the input of energy-storage system has direct relation with its capacity configuration, and therefore the capacity that energy-storage system is used for the power distribution network peak load shifting is optimized, and can either be met the capacity configuration of the peak load shifting requirement of loading, and can make the economic well-being of workers and staff maximum again.

Summary of the invention

The objective of the invention is to, propose a kind of optimization method of the double-energy storage system stored energy capacity for the power distribution network peak load shifting, be used for solving the stored energy capacitance configuration when the power distribution network peak load shifting of double-energy storage system and do not reach optimum problem.

To achieve these goals, the technical scheme that the present invention proposes is, a kind of optimization method of the double-energy storage system stored energy capacity for the power distribution network peak load shifting is characterized in that described method comprises:

Step 1: two energy-storage systems are designated as first energy-storage system and second energy-storage system respectively, set up the stored energy capacitance optimization aim function of first energy-storage system and the stored energy capacitance optimization aim function of second energy-storage system respectively;

Step 2: setting the initial value of optimizing number of times j is j=0, and the stored energy capacitance initial value of setting first energy-storage system is

The stored energy capacitance initial value of setting second energy-storage system is

Step 3: with the stored energy capacitance optimization aim function of stored energy capacitance initial value substitution first energy-storage system of second energy-storage system, calculate the stored energy capacitance optimal value of first energy-storage system by optimization

With the stored energy capacitance optimization aim function of stored energy capacitance initial value substitution second energy-storage system of first energy-storage system, calculate the stored energy capacitance optimal value of second energy-storage system by optimization

Step 4: order

Will

The stored energy capacitance optimization aim function of substitution first energy-storage system calculates the stored energy capacitance optimal value of first energy-storage system by optimization

Will

The stored energy capacitance optimization aim function of substitution second energy-storage system calculates the stored energy capacitance optimal value of second energy-storage system by optimization

Step 5: judge whether to satisfy simultaneously

With

If satisfy simultaneously

With Then execution in step 6; Otherwise, make j=j+1, return step 4;

Step 6: respectively with

With

Set up first energy-storage system and second energy-storage system as the stored energy capacitance of first energy-storage system and second energy-storage system.

The stored energy capacitance optimization aim function of described first energy-storage system is:

$S_1=S_{1-\mathrm{delay}}+S_{1\_\mathrm{enviroment}}+S_{1\_\mathrm{income}}-S_{1\_P,E}-S_{1\_m}+S_{2-\mathrm{delay}}^{*}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{enviroment}}^{*}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{income}}^{*}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}^{*}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_m}^{*};$

Wherein, S _1-delayBe to delay to power the transmission facility input amount after first energy-storage system drops into, S _{1_delay}=R _{P_vest}P _{1_ESS}, R _{P_vest}Be power supply transmission facility unit power input amount, P _{1_ESS}Be first energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₁It is the life-span of first energy-storage system;

S _{1_enviroment}Be the environmental benefit of first energy-storage system, $S_{1\_\mathrm{environment}=(\underset{p=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{1\_\mathrm{metal}\_p}{\mathrm{\&eta;}}_{1\_\mathrm{metal}\_p}-R_{1\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{1\_\mathrm{energy}}\&CenterDot;E_1,}$ R _{1_metal_p}Be the price of metal p, m is the contained metal species of first energy-storage system, η _{1_metal_p}Be the content of metal p in the first energy-storage system Unit Weight, R _{1_recycle}Be to handle the required expenditure of the Unit Weight first energy-storage system waste material, η _{1_energy}It is first energy-storage system energy anharmonic ratio;

S _{1_income}Be the direct benefit that the low storage of first energy-storage system produces when occurred frequently, S _{1_income}=(R _{1_out}-R _{1_in}) E ₁, R _{1_out}Be the price of the low storage of first energy-storage system electrical network output electric energy when occurred frequently, R _{1_in}It is the price of the low storage of first energy-storage system electrical network input electric energy when occurred frequently;

S _{1_P, E}Be the first energy-storage system power cost and capacity cost sum, $S_{1\_P,E}=(C_{1\_p}\&CenterDot;P_{1\_\mathrm{ESS}}+C_{1\_E}\&CenterDot;E_1)\&CenterDot;\frac{{\mathrm{\&alpha;}}_1{(1+{\mathrm{\&alpha;}}_1)}^{n_1}}{{(1+{\mathrm{\&alpha;}}_1)}^{n_1}-1},$ C _{1_p}Be the first energy-storage system unit power cost, C _{1_E}Be the first energy-storage system unit capacity cost, α ₁It is the first energy-storage system investment yield;

S _{1_m}Be the 1 energy-storage system year to safeguard expenditure, S _{1_m}=C _{1_m}E ₁C _{1_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

E ₁It is the stored energy capacitance of first energy-storage system to be optimized;

The transmission facility input amount that delays to power after second energy-storage system drops into,

R _{P_vest}Be power supply transmission facility unit power input amount,

Be second energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₂It is the life-span of second energy-storage system;

Be the environmental benefit of second energy-storage system, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{environment}}^{*}=(\underset{q=1}{\overset{\mathrm{<figure-callout\; id="2"\; label="m\; R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">m</figure-callout>}}{\mathrm{\&Sigma;}}}{R}_{}{}_{2\_\mathrm{metal}\_q}{\mathrm{\&eta;}}_{2\_\mathrm{metal}\_q}-{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">R</figure-callout>}}_{2\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{2\_\mathrm{energy}}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="E"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">E</figure-callout>}}_2^{*},$ R _{2_metal_q}Be the price of metal q, m is the contained metal species of second energy-storage system, η _{2_metal_q}Be the content of metal q in the second energy-storage system Unit Weight, R _{2_recycle}Be to handle the required expenditure of the Unit Weight second energy-storage system waste material, η _{2_energy}Represent second energy-storage system energy anharmonic ratio;

Be the direct benefit that the low storage of second energy-storage system produces when occurred frequently,

R _{2_out}Be the price of the low storage of second energy-storage system electrical network output electric energy when occurred frequently, R _{2_in}It is the price of the low storage of second energy-storage system electrical network input electric energy when occurred frequently;

Be the second energy-storage system power cost and capacity cost sum, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}^{*}=({\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_p}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{2\_\mathrm{ESS}}+{\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_E}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="E"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">E</figure-callout>}}_2^{*})\&CenterDot;\frac{{\mathrm{\&alpha;}}_2{(1+{\mathrm{\&alpha;}}_2)}^{n_2}}{{(1+{\mathrm{\&alpha;}}_2)}^{n_2}-1},$ C _{2_p}Be the second energy-storage system unit power cost, C _{2_E}Be the second energy-storage system unit capacity cost, α ₂It is the second energy-storage system investment yield;

Be the 1 energy-storage system year to safeguard expenditure,

C _{2_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

Be stored energy capacitance initial value or the optimal value of second energy-storage system;

The constraints of the stored energy capacitance optimization aim function of described first energy-storage system is E ₁〉=0.

The described stored energy capacitance optimal value that calculates first energy-storage system by optimization

Adopt particle group optimizing method.

The stored energy capacitance optimization aim function of described second energy-storage system is

${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_2=S_{2-\mathrm{delay}}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{enviroment}}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{income}}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_m}+S_{1-\mathrm{delay}}^{*}+S_{1\_\mathrm{enviroment}}^{*}+S_{1\_\mathrm{income}}^{*}-S_{1\_P,E}^{*}-S_{1\_m}^{*};$

Wherein, S _2-delayBe to delay to power the transmission facility input amount after second energy-storage system drops into, S _{2_delay}=R _{P_vest}P _{2_ESS}, R _{P_vest}Be power supply transmission facility unit power input amount, P _{2_ESS}Be second energy-storage system power and t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₂It is the life-span of second energy-storage system;

S _{2_enviroment}Be the environmental benefit of second energy-storage system, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{environment}}=(\underset{q=1}{\overset{\mathrm{<figure-callout\; id="2"\; label="m\; R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">m</figure-callout>}}{\mathrm{\&Sigma;}}}{R}_{}{}_{2\_\mathrm{metal}\_q}{\mathrm{\&eta;}}_{2\_\mathrm{metal}\_q}-{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">R</figure-callout>}}_{2\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{2\_\mathrm{energy}}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="E"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">E</figure-callout>}}_2,$ R _{2_metal_q}Be the price of metal q, m is the contained metal species of second energy-storage system, η _{2_metal_q}Be the content of metal q in the second energy-storage system Unit Weight, R _{2_recycle}Be to handle the required expenditure of the Unit Weight second energy-storage system waste material, η _{2_energy}Represent second energy-storage system energy anharmonic ratio;

S _{2_income}Be the direct benefit that the low storage of second energy-storage system produces when occurred frequently, S _{2_income}=(R _{2_out}-R _{2_in}) E ₂, R _{2_out}Be the price of the low storage of second energy-storage system electrical network output electric energy when occurred frequently, R _{2_in}It is the price of the low storage of second energy-storage system electrical network input electric energy when occurred frequently;

S _{2_P, E}Be the second energy-storage system power cost and capacity cost sum, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}=({\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_p}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{2\_\mathrm{ESS}}+{\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_E}\&CenterDot;E_2)\&CenterDot;\frac{{\mathrm{\&alpha;}}_2{(1+{\mathrm{\&alpha;}}_2)}^{n_2}}{{(1+{\mathrm{\&alpha;}}_2)}^{n_2}-1},$ C _{2_p}Be the second energy-storage system unit power cost, C _{2_E}Be the second energy-storage system unit capacity cost, α ₂It is the second energy-storage system investment yield;

S _{2_m}Be the 1 energy-storage system year to safeguard expenditure, S _{2_m}=C _{2_m}E ₂C _{2_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

E ₂It is the stored energy capacitance of second energy-storage system to be optimized;

The transmission facility input amount that delays to power after first energy-storage system drops into,

R _{P_vest}Be power supply transmission facility unit power input amount,

Be first energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₁It is the life-span of first energy-storage system;

Be the environmental benefit of first energy-storage system, $S_{1\_\mathrm{environment}}^{*}=(\underset{p=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{1\_\mathrm{metal}\_p}{\mathrm{\&eta;}}_{1\_\mathrm{metal}\_p}-R_{1\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{1\_\mathrm{energy}}\&CenterDot;E_1^{*},$ R _{1_metal_p}Be the price of metal p, m is the contained metal species of first energy-storage system, η _{1_metal_p}Be the content of metal p in the first energy-storage system Unit Weight, R _{1_recycle}Be to handle the required expenditure of the Unit Weight first energy-storage system waste material, η _{1_energy}It is first energy-storage system energy anharmonic ratio;

Be the direct benefit that the low storage of first energy-storage system produces when occurred frequently,

R _{1_out}Be the price of the low storage of first energy-storage system electrical network output electric energy when occurred frequently, R _{1_in}It is the price of the low storage of first energy-storage system electrical network input electric energy when occurred frequently;

Be the first energy-storage system power cost and capacity cost sum, $S_{1\_P,E}^{*}=(C_{1\_p}\&CenterDot;P_{1\_\mathrm{ESS}}+C_{1\_E}\&CenterDot;E_1^{*})\&CenterDot;\frac{{\mathrm{\&alpha;}}_1{(1+{\mathrm{\&alpha;}}_1)}^{n_1}}{{(1+{\mathrm{\&alpha;}}_1)}^{n_1}-1},$ C _{1_p}Be the first energy-storage system unit power cost, C _{1_E}Be the first energy-storage system unit capacity cost, α ₁It is the first energy-storage system investment yield;

Be the 1 energy-storage system year to safeguard expenditure,

C _{1_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

Be stored energy capacitance initial value or the optimal value of first energy-storage system;

The constraints of the stored energy capacitance optimization aim function of described second energy-storage system is E ₂〉=0.

The described stored energy capacitance optimal value that calculates second energy-storage system by optimization

Adopt particle group optimizing method.

Method provided by the invention has realized the optimization of double-energy storage system stored energy capacitance configuration when the power distribution network peak load shifting.

Description of drawings

Fig. 1 is the battery energy storage system control structure figure for the power distribution network peak load shifting;

Fig. 2 is the optimization method flow chart for the double-energy storage system stored energy capacity of power distribution network peak load shifting.

Embodiment

Below in conjunction with accompanying drawing, preferred embodiment is elaborated.Should be emphasized that following explanation only is exemplary, rather than in order to limit the scope of the invention and to use.

Embodiment

In the present embodiment, choose the lithium ion battery energy-storage system as first energy-storage system, choose all-vanadium flow redox cell energy-storage system as second energy-storage system.

Fig. 1 is the battery energy storage system control structure figure for the power distribution network peak load shifting.As shown in Figure 1, the battery energy storage system for the power distribution network peak load shifting is made of historical data base, data acquisition module, load prediction system, data analysis processing module, power constraint module and battery energy storage system module.

Battery energy storage system is chosen and the data of predicting that day situation is identical, weather is similar based on historical data base, uses support vector machine method that the prediction daily load is predicted, works as daily load peak value, low valley according to load prediction primary system meter, and is set at P respectively _RgAnd P _PeakWith P _RgAnd P _PeakValue imports the data analysis processing module, is written into load prediction value P _ForceWith P _RgAnd P _PeakCompare: as load data P _ForceLess than the synthetic low ebb value P that exerts oneself _RgPlan is carried out the energy-storage system charging, this moment is according to the BMS(energy management module) in the battery SOC state value gathered judge whether battery satisfies SOC and retrain, if satisfy then energy-storage system charging, and be written into the power constraint module and judge whether to satisfy power constraint, satisfied then charging is finished and is filled out paddy, otherwise carries out power correction; As load data P _ForceGreater than the synthetic peak value initial value P that exerts oneself _PeakPlan is carried out energy storage system discharges, this moment is according to the BMS(energy management module) in the battery SOC state value gathered judge whether battery satisfies SOC and retrain, if satisfy then energy storage system discharges, and be written into the power constraint module and judge whether to satisfy power constraint, satisfied then finish and cut wind, synthetic the exerting oneself after energy storage is regulated reaches the synthetic peak value initial value P that exerts oneself _PeakAs load data P _ForceAt [P _Rg, P _Peak] in the scope, energy-storage system is failure to actuate.

Fig. 2 is the optimization method flow chart for the double-energy storage system stored energy capacity of power distribution network peak load shifting.The optimization method of the double-energy storage system stored energy capacity that is used for the power distribution network peak load shifting that as shown in Figure 2, present embodiment provides comprises:

Step 1: with the lithium ion battery energy-storage system as first energy-storage system, all-vanadium flow redox cell energy-storage system is set up the stored energy capacitance optimization aim function of first energy-storage system and the stored energy capacitance optimization aim function of second energy-storage system respectively as second energy-storage system.

The stored energy capacitance optimization aim function of first energy-storage system is:

$S_1=S_{1-\mathrm{delay}}+S_{1\_\mathrm{enviroment}}+S_{1\_\mathrm{income}}-S_{1\_P,E}-S_{1\_m}+S_{2-\mathrm{delay}}^{*}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{enviroment}}^{*}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{income}}^{*}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}^{*}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_m}^{*}---\left(1\right)$

In formula (1), S _1-delayBe to delay to power the transmission facility input amount after first energy-storage system drops into, S _{1_delay}=R _{P_vest}P _{1_ESS}, R _{P_vest}Be power supply transmission facility unit power input amount, P _{1_ESS}Be first energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₁It is the life-span of first energy-storage system.Because R _{P_vest}And n ₁Value can determine so S _1-delayBe about E ₁Function.

S _{1_enviroment}Be the environmental benefit of first energy-storage system, $S_{1\_\mathrm{environment}}=(\underset{p=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{1\_\mathrm{metal}\_p}{\mathrm{\&eta;}}_{1\_\mathrm{metal}\_p}-R_{1\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{1\_\mathrm{energy}}\&CenterDot;E_1,$ R _{1_metal_p}Be the price of metal p, m is the contained metal species of first energy-storage system, η _{1_metal_p}Be the content of metal p in the first energy-storage system Unit Weight, R _{1_recycle}Be to handle the required expenditure of the Unit Weight first energy-storage system waste material, η _{1_energy}Be that first energy-storage system can anharmonic ratio.Because R _{1_metal_p}, m, η _{1_metal_p}, R _{1_recycle}And η _{1_energy}Value be confirmable, so S _{1_enviroment}Also be about E ₁Function.

S _{1_income}Be the direct benefit that the low storage of first energy-storage system produces when occurred frequently, S _{1_income}=(R _{1_out}-R _{1_in}) E ₁, R _{1_out}Be the price of the low storage of first energy-storage system electrical network output electric energy when occurred frequently, R _{1_in}It is the price of the low storage of first energy-storage system electrical network input electric energy when occurred frequently.Because R _{1_out}And R _{1_in}Value be confirmable, so S _{1_income}Be about E ₁Function.

S _{1_P, E}Be the first energy-storage system power cost and capacity cost sum, $S_{1\_P,E}=(C_{1\_p}\&CenterDot;P_{1\_\mathrm{ESS}}+C_{1\_E}\&CenterDot;E_1)\&CenterDot;\frac{{\mathrm{\&alpha;}}_1{(1+{\mathrm{\&alpha;}}_1)}^{n_1}}{{(1+{\mathrm{\&alpha;}}_1)}^{n_1}-1},$ C _{1_p}Be the first energy-storage system unit power cost, C _{1_E}Be the first energy-storage system unit capacity cost, α ₁It is the first energy-storage system investment yield.Because C _{1_p}, α ₁, n ₁And C _{1_E}Value be confirmable, so S _{1_P, E}Be about E ₁Function.

S _{1_m}Be the 1 energy-storage system year to safeguard expenditure, S _{1_m}=C _{1_m}E ₁C _{1_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure.Because C _{1_m}Value be confirmable, so S _{1_m}Be about E ₁Function.

E ₁It is the stored energy capacitance of first energy-storage system to be optimized.

The transmission facility input amount that delays to power after second energy-storage system drops into,

R _{P_vest}Be power supply transmission facility unit power input amount,

Be second energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₂It is the life-span of second energy-storage system.

Be the environmental benefit of second energy-storage system, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{environment}}^{*}=(\underset{q=1}{\overset{m}{\mathrm{\&Sigma;}}}{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">R</figure-callout>}}_{2\_\mathrm{metal}\_q}{\mathrm{\&eta;}}_{2\_\mathrm{metal}\_q}-{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">R</figure-callout>}}_{2\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{2\_\mathrm{energy}}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="E"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">E</figure-callout>}}_2^{*},$ R _{2_metal_q}Be the price of metal q, m is the contained metal species of second energy-storage system, η _{2_metal_q}Be the content of metal q in the second energy-storage system Unit Weight, R _{2_recycle}Be to handle the required expenditure of the Unit Weight second energy-storage system waste material, η _{2_energy}Represent that second energy-storage system can anharmonic ratio.

Be the direct benefit that the low storage of second energy-storage system produces when occurred frequently,

R _{2_out}Be the price of the low storage of second energy-storage system electrical network output electric energy when occurred frequently, R _{2_in}It is the price of the low storage of second energy-storage system electrical network input electric energy when occurred frequently.

Be the second energy-storage system power cost and capacity cost sum, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}^{*}=({\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_p}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{2\_\mathrm{ESS}}+{\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_E}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="E"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">E</figure-callout>}}_2^{*})\&CenterDot;\frac{{\mathrm{\&alpha;}}_2{(1+{\mathrm{\&alpha;}}_2)}^{n_2}}{{(1+{\mathrm{\&alpha;}}_2)}^{n_2}-1},$ C _{2_p}Be the second energy-storage system unit power cost, C _{2_E}Be the second energy-storage system unit capacity cost, α ₂It is the second energy-storage system investment yield.

Be the 1 energy-storage system year to safeguard expenditure,

C _{2_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure.

Be stored energy capacitance initial value or the optimal value of second energy-storage system,

Value situation about determining under, With

Be definite value.Therefore, exist

Value situation about determining under, S ₁Be about E ₁Function, namely the stored energy capacitance optimization aim function of first energy-storage system is for being about E ₁Function.At this moment, the constraints that can set the stored energy capacitance optimization aim function of first energy-storage system is E ₁〉=0.

The stored energy capacitance optimization aim function of second energy-storage system is:

${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_2=S_{2-\mathrm{delay}}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{enviroment}}+{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{income}}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}-{\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_m}+S_{1-\mathrm{delay}}^{*}+S_{1\_\mathrm{enviroment}}^{*}+S_{1\_\mathrm{income}}^{*}-S_{1\_P,E}^{*}-S_{1\_m}^{*}---\left(2\right)$

In formula (2), S _2-delayBe to delay to power the transmission facility input amount after second energy-storage system drops into, S _{2_delay}=R _{P_vest}P _{2_ESS}, R _{P_vest}Be power supply transmission facility unit power input amount, P _{2_ESS}Be second energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₂It is the life-span of second energy-storage system.Because R _{P_vest}And n ₁Value can determine so S _2-delayBe about E ₂Function.

S _{2_enviroment}Be the environmental benefit of second energy-storage system, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_\mathrm{environment}}=(\underset{q=1}{\overset{m}{\mathrm{\&Sigma;}}}{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">R</figure-callout>}}_{2\_\mathrm{metal}\_q}{\mathrm{\&eta;}}_{2\_\mathrm{metal}\_q}-{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">R</figure-callout>}}_{2\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{2\_\mathrm{energy}}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="E"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">E</figure-callout>}}_2,$ R _{2_metal_q}Be the price of metal q, m is the contained metal species of second energy-storage system, η _{2_metal_q}Be the content of metal q in the second energy-storage system Unit Weight, R _{2_recycle}Be to handle the required expenditure of the Unit Weight second energy-storage system waste material, η _{2_energy}Represent that second energy-storage system can anharmonic ratio.Because R _{2_metal_p}, m, η _{2_metal_p}, R _{2_recycle}And η _{2_energy}Value be confirmable, so S _{2_enviroment}Also be about E ₂Function.

S _{2_income}Be the direct benefit that the low storage of second energy-storage system produces when occurred frequently, S _{2_income}=(R _{2_out}-R _{2_in}) E ₂, R _{2_out}Be the price of the low storage of second energy-storage system electrical network output electric energy when occurred frequently, R _{2_in}It is the price of the low storage of second energy-storage system electrical network input electric energy when occurred frequently.Because R _{2_out}And R _{2_in}Value be confirmable, so S _{2_income}Be about E ₂Function.

S _{2_P, E}Be the second energy-storage system power cost and capacity cost sum, ${\mathrm{<figure-callout\; id="2"\; label="S"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">S</figure-callout>}}_{2\_P,E}=({\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_p}\&CenterDot;{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">P</figure-callout>}}_{2\_\mathrm{ESS}}+{\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="HDA00003182747000021.png"\; state="\{\{state\}\}">C</figure-callout>}}_{2\_E}\&CenterDot;E_2)\&CenterDot;\frac{{\mathrm{\&alpha;}}_2{(1+{\mathrm{\&alpha;}}_2)}^{n_2}}{{(1+{\mathrm{\&alpha;}}_2)}^{n_2}-1},$ C _{2_p}Be the second energy-storage system unit power cost, C _{2_E}Be the second energy-storage system unit capacity cost, α ₂It is the second energy-storage system investment yield.Because C _{2_p}, α ₂, n ₂And C _{2_E}Value be confirmable, so S _{2_P, E}Be about E ₂Function.

S _{2_m}Be the 1 energy-storage system year to safeguard expenditure, S _{2_m}=C _{2_m}E ₂C _{2_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure.Because C _{2_m}Value be confirmable, so S _{2_m}Be about E ₂Function.

E ₂It is the stored energy capacitance of second energy-storage system to be optimized.

The transmission facility input amount that delays to power after first energy-storage system drops into,

R _{P_vest}Be power supply transmission facility unit power input amount,

Be first energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₁It is the life-span of first energy-storage system.

Be the environmental benefit of first energy-storage system, $S_{1\_\mathrm{environment}}^{*}=(\underset{p=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{1\_\mathrm{metal}\_p}{\mathrm{\&eta;}}_{1\_\mathrm{metal}\_p}-R_{1\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{1\_\mathrm{energy}}\&CenterDot;E_1^{*},$ R _{1_metal_p}Be the price of metal p, m is the contained metal species of first energy-storage system, η _{1_metal_p}Be the content of metal p in the first energy-storage system Unit Weight, R _{1_recycle}Be to handle the required expenditure of the Unit Weight first energy-storage system waste material, η _{1_energy}Be that first energy-storage system can anharmonic ratio.

Be the direct benefit that the low storage of first energy-storage system produces when occurred frequently,

R _{1_out}Be the price of the low storage of first energy-storage system electrical network output electric energy when occurred frequently, R _{1_in}It is the price of the low storage of first energy-storage system electrical network input electric energy when occurred frequently.

Be the first energy-storage system power cost and capacity cost sum, $S_{1\_P,E}^{*}=(C_{1\_p}\&CenterDot;P_{1\_\mathrm{ESS}}+C_{1\_E}\&CenterDot;E_1^{*})\&CenterDot;\frac{{\mathrm{\&alpha;}}_1{(1+{\mathrm{\&alpha;}}_1)}^{n_1}}{{(1+{\mathrm{\&alpha;}}_1)}^{n_1}-1},$ C _{1_p}Be the first energy-storage system unit power cost, C _{1_E}Be the first energy-storage system unit capacity cost, α ₁It is the first energy-storage system investment yield.

Be the 1 energy-storage system year to safeguard expenditure,

C _{1_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure.

Be stored energy capacitance initial value or the optimal value of first energy-storage system,

Value situation about determining under,

With

Be definite value.Therefore, exist

Value situation about determining under, S ₂Be about E ₂Function, namely the stored energy capacitance optimization aim function of second energy-storage system is about E ₂Function.At this moment, the constraints that can set the stored energy capacitance optimization aim function of second energy-storage system is E ₂〉=0.

Step 2: setting the initial value of optimizing number of times j is j=0, and the stored energy capacitance initial value of setting first energy-storage system is

The stored energy capacitance initial value of setting second energy-storage system is

Step 3: with the stored energy capacitance optimization aim function of stored energy capacitance initial value substitution first energy-storage system of second energy-storage system, calculate the stored energy capacitance optimal value of first energy-storage system by optimization

Because the stored energy capacitance initial value of second energy-storage system is

Therefore

With

Being definite value, is in the formula (1) with the stored energy capacitance optimization aim function of its substitution first energy-storage system, and formula (1) is exactly about E ₁Function.Constraints at formula (1) is E ₁〉=0 o'clock, can be by the variable E of multiple optimization algorithm computing formula (1) ₁Optimal value.Present embodiment adopts particle group optimizing method, asks for the variable E of formula (1) ₁Optimal value, be designated as

Because particle group optimizing method is the method for using always, and directly utilizes mathematical software such as MATLAB can carry out particle group optimizing and calculate, so the present invention is no longer to target function S ₁Optimizing process give unnecessary details.

With the stored energy capacitance optimization aim function of stored energy capacitance initial value substitution second energy-storage system of first energy-storage system, calculate the stored energy capacitance optimal value of second energy-storage system by optimization

Because the stored energy capacitance initial value of first energy-storage system is

Therefore

With Being definite value, is in the formula (2) with the stored energy capacitance optimization aim function of its substitution second energy-storage system, and formula (2) is exactly about E ₂Function.Constraints at formula (2) is E ₂〉=0 o'clock, can be by the variable E of multiple optimization algorithm computing formula (2) ₂Optimal value, be designated as Present embodiment adopts particle group optimizing method, asks for the variable E of formula formula (2) ₂Optimal value.

Step 4: order

Will The stored energy capacitance optimization aim function of substitution first energy-storage system calculates the stored energy capacitance optimal value of first energy-storage system by optimization

This step order

Value equal the last stored energy capacitance optimal value that calculates second energy-storage system of optimizing

With its substitution formula (1), the optimization of carrying out is again calculated again.Optimization method is identical with step 3, obtains the stored energy capacitance optimal value of the first new energy-storage system

Order

Value equal the last stored energy capacitance optimal value that calculates first energy-storage system of optimizing

With its substitution formula (2), the optimization of carrying out is again calculated again.Optimization method is identical with step 3, obtains the stored energy capacitance optimal value of the second new energy-storage system

Step 5: judge whether to satisfy simultaneously

With

If satisfy simultaneously

With

Then execution in step 6; Otherwise, make j=j+1, return step 4.

In this step, if the stored energy capacitance of two energy-storage systems that adjacent two suboptimization results obtain is identical respectively, namely

With

Then think the equilibrium point of having found two energy-storage system stored energy capacitances, this moment execution in step 6.

If the stored energy capacitance of two energy-storage systems that adjacent two suboptimization results obtain is inequality, then make j=j+1, return step 4, optimize calculating next time, continue to seek the equilibrium point.

Step 6: respectively with

With

Set up first energy-storage system and second energy-storage system as the stored energy capacitance of first energy-storage system and second energy-storage system.

The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.

Claims (5)

1. optimization method that is used for the double-energy storage system stored energy capacity of power distribution network peak load shifting is characterized in that described method comprises:

Step 1: two energy-storage systems are designated as first energy-storage system and second energy-storage system respectively, set up the stored energy capacitance optimization aim function of first energy-storage system and the stored energy capacitance optimization aim function of second energy-storage system respectively;

Step 2: setting the initial value of optimizing number of times j is j=0, and the stored energy capacitance initial value of setting first energy-storage system is

The stored energy capacitance initial value of setting second energy-storage system is

Step 3: with the stored energy capacitance optimization aim function of stored energy capacitance initial value substitution first energy-storage system of second energy-storage system, calculate the stored energy capacitance optimal value of first energy-storage system by optimization

With the stored energy capacitance optimization aim function of stored energy capacitance initial value substitution second energy-storage system of first energy-storage system, calculate the stored energy capacitance optimal value of second energy-storage system by optimization

Step 4: order

Will

The stored energy capacitance optimization aim function of substitution first energy-storage system calculates the stored energy capacitance optimal value of first energy-storage system by optimization

Will The stored energy capacitance optimization aim function of substitution second energy-storage system calculates the stored energy capacitance optimal value of second energy-storage system by optimization

Step 5: judge whether to satisfy simultaneously

With

If satisfy simultaneously

With Then execution in step 6; Otherwise, make j=j+1, return step 4;

Step 6: respectively with With

Set up first energy-storage system and second energy-storage system as the stored energy capacitance of first energy-storage system and second energy-storage system.

2. optimization method according to claim 1 is characterized in that the stored energy capacitance optimization aim function of described first energy-storage system is:

$S_1=S_{1-\mathrm{delay}}+S_{1\_\mathrm{enviroment}}+S_{1\_\mathrm{income}}-S_{1\_P,E}-S_{1\_m}+S_{2-\mathrm{delay}}^{*}+S_{2\_\mathrm{enviroment}}^{*}+S_{2\_\mathrm{income}}^{*}-S_{2\_P,E}^{*}-S_{2\_m}^{*};$

Wherein, S _1-delayBe to delay to power the transmission facility input amount after first energy-storage system drops into, S _{1_delay}=R _{P_vest}P _{1_ESS}, R _{P_vest}Be power supply transmission facility unit power input amount, P _{1_ESS}Be first energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₁It is the life-span of first energy-storage system;

S _{1_enviroment}Be the environmental benefit of first energy-storage system, $S_{1\_\mathrm{environment}}=(\underset{p=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{1\_\mathrm{metal}\_p}{\mathrm{\&eta;}}_{1\_\mathrm{metal}\_p}-R_{1\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{1\_\mathrm{energy}}\&CenterDot;E_1,$ R _{1_metal_p}Be the price of metal p, m is the contained metal species of first energy-storage system, η _{1_metal_p}Be the content of metal p in the first energy-storage system Unit Weight, R _{1_recycle}Be to handle the required expenditure of the Unit Weight first energy-storage system waste material, η _{1_energy}It is first energy-storage system energy anharmonic ratio;

S _{1_income}Be the direct benefit that the low storage of first energy-storage system produces when occurred frequently, S _{1_income}=(R _{1_out}-R _{1_in}) E ₁, R _{1_out}Be the price of the low storage of first energy-storage system electrical network output electric energy when occurred frequently, R _{1_in}It is the price of the low storage of first energy-storage system electrical network input electric energy when occurred frequently;

S _{1_P, E}Be the first energy-storage system power cost and capacity cost sum, $S_{1\_P,E}=(C_{1\_p}\&CenterDot;P_{1\_\mathrm{ESS}}+C_{1\_E}\&CenterDot;E_1)\&CenterDot;\frac{{\mathrm{\&alpha;}}_1{(1+{\mathrm{\&alpha;}}_1)}^{n_1}}{{(1+{\mathrm{\&alpha;}}_1)}^{n_1}-1},$ C _{1_p}Be the first energy-storage system unit power cost, C _{1_E}Be the first energy-storage system unit capacity cost, α ₁It is the first energy-storage system investment yield;

S _{1_m}Be the 1 energy-storage system year to safeguard expenditure, S _{1_m}=C _{1_m}E ₁C _{1_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

E ₁It is the stored energy capacitance of first energy-storage system to be optimized;

The transmission facility input amount that delays to power after second energy-storage system drops into,

R _{P_vest}Be power supply transmission facility unit power input amount, Be second energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₂It is the life-span of second energy-storage system;

Be the environmental benefit of second energy-storage system, $S_{2\_\mathrm{environment}}^{*}=(\underset{q=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{2\_\mathrm{metal}\_q}{\mathrm{\&eta;}}_{2\_\mathrm{metal}\_q}-R_{2\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{2\_\mathrm{energy}}\&CenterDot;E_2^{*},$ R _{2_metal_q}Be the price of metal q, m is the contained metal species of second energy-storage system, η _{2_metal_q}Be the content of metal q in the second energy-storage system Unit Weight, R _{2_recycle}Be to handle the required expenditure of the Unit Weight second energy-storage system waste material, η _{2_energy}Represent second energy-storage system energy anharmonic ratio;

Be the direct benefit that the low storage of second energy-storage system produces when occurred frequently,

R _{2_out}Be the price of the low storage of second energy-storage system electrical network output electric energy when occurred frequently, R _{2_in}It is the price of the low storage of second energy-storage system electrical network input electric energy when occurred frequently;

Be the second energy-storage system power cost and capacity cost sum, $S_{2\_P,E}^{*}=(C_{2\_p}\&CenterDot;P_{2\_\mathrm{ESS}}+C_{2\_E}\&CenterDot;E_2^{*})\&CenterDot;\frac{{\mathrm{\&alpha;}}_2{(1+{\mathrm{\&alpha;}}_2)}^{n_2}}{{(1+{\mathrm{\&alpha;}}_2)}^{n_2}-1},$ C _{2_p}Be the second energy-storage system unit power cost, C _{2_E}Be the second energy-storage system unit capacity cost, α ₂It is the second energy-storage system investment yield;

Be the 1 energy-storage system year to safeguard expenditure, C _{2_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

Be stored energy capacitance initial value or the optimal value of second energy-storage system;

The constraints of the stored energy capacitance optimization aim function of described first energy-storage system is E ₁〉=0.

3. optimization method according to claim 2 is characterized in that the described stored energy capacitance optimal value that calculates first energy-storage system by optimization

Adopt particle group optimizing method.

4. optimization method according to claim 1 is characterized in that the stored energy capacitance optimization aim function of described second energy-storage system is:

$S_2=S_{2-\mathrm{delay}}+S_{2\_\mathrm{enviroment}}+S_{2\_\mathrm{income}}-S_{2\_P,E}-S_{2\_m}+S_{1-\mathrm{delay}}^{*}+S_{1\_\mathrm{enviroment}}^{*}+S_{1\_\mathrm{income}}^{*}-S_{1\_P,E}^{*}-S_{1\_m}^{*};$

Wherein, S _2-delayBe to delay to power the transmission facility input amount after second energy-storage system drops into, S _{2_delay}=R _{P_vest}P _{2_ESS}, R _{P_vest}Be power supply transmission facility unit power input amount, P _{2_ESS}Be second energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₂It is the life-span of second energy-storage system;

S _{2_enviroment}Be the environmental benefit of second energy-storage system, $S_{2\_\mathrm{environment}}=(\underset{q=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{2\_\mathrm{metal}\_q}{\mathrm{\&eta;}}_{2\_\mathrm{metal}\_q}-R_{2\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{2\_\mathrm{energy}}\&CenterDot;E_2,$ R _{2_metal_q}Be the price of metal q, m is the contained metal species of second energy-storage system, η _{2_metal_q}Be the content of metal q in the second energy-storage system Unit Weight, R _{2_recycle}Be to handle the required expenditure of the Unit Weight second energy-storage system waste material, η _{2_energy}Represent second energy-storage system energy anharmonic ratio;

S _{2_income}Be the direct benefit that the low storage of second energy-storage system produces when occurred frequently, S _{2_income}=(R _{2_out}-R _{2_in}) E ₂, R _{2_out}Be the price of the low storage of second energy-storage system electrical network output electric energy when occurred frequently, R _{2_in}It is the price of the low storage of second energy-storage system electrical network input electric energy when occurred frequently;

S _{2_P}, _EBe the second energy-storage system power cost and capacity cost sum, $S_{2\_P,E}=(C_{2\_p}\&CenterDot;P_{2\_\mathrm{ESS}}+C_{2\_E}\&CenterDot;E_2)\&CenterDot;\frac{{\mathrm{\&alpha;}}_2{(1+{\mathrm{\&alpha;}}_2)}^{n_2}}{{(1+{\mathrm{\&alpha;}}_2)}^{n_2}-1},$ C _{2_p}Be the second energy-storage system unit power cost, C _{2_E}Be the second energy-storage system unit capacity cost, α ₂It is the second energy-storage system investment yield;

S _{2_m}Be the 1 energy-storage system year to safeguard expenditure, S _{2_m}=C _{2_m}E ₂C _{2_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

E ₂It is the stored energy capacitance of second energy-storage system to be optimized;

The transmission facility input amount that delays to power after first energy-storage system drops into,

R _{P_vest}Be power supply transmission facility unit power input amount,

Be first energy-storage system power and

t _{L1_k}And t _{L2_k}Be respectively beginning and ending time k days load valley periods, n ₁It is the life-span of first energy-storage system;

Be the environmental benefit of first energy-storage system, $S_{1\_\mathrm{environment}}^{*}=(\underset{p=1}{\overset{m}{\mathrm{\&Sigma;}}}{R}_{1\_\mathrm{metal}\_p}{\mathrm{\&eta;}}_{1\_\mathrm{metal}\_p}-R_{1\_\mathrm{recycle}})\&CenterDot;{\mathrm{\&eta;}}_{1\_\mathrm{energy}}\&CenterDot;E_1^{*},$ R _{1_metal_p}Be the price of metal p, m is the contained metal species of first energy-storage system, η _{1_metal_p}Be the content of metal p in the first energy-storage system Unit Weight, R _{1_recycle}Be to handle the required expenditure of the Unit Weight first energy-storage system waste material, η _{1_energy}It is first energy-storage system energy anharmonic ratio;

Be the direct benefit that the low storage of first energy-storage system produces when occurred frequently,

R _{1_out}Be the price of the low storage of first energy-storage system electrical network output electric energy when occurred frequently, R _{1_in}It is the price of the low storage of first energy-storage system electrical network input electric energy when occurred frequently;

Be the first energy-storage system power cost and capacity cost sum, $S_{1\_P,E}^{*}=(C_{1\_p}\&CenterDot;P_{1\_\mathrm{ESS}}+C_{1\_E}\&CenterDot;E_1^{*})\&CenterDot;\frac{{\mathrm{\&alpha;}}_1{(1+{\mathrm{\&alpha;}}_1)}^{n_1}}{{(1+{\mathrm{\&alpha;}}_1)}^{n_1}-1},$ C _{1_p}Be the first energy-storage system unit power cost, C _{1_E}Be the first energy-storage system unit capacity cost, α ₁It is the first energy-storage system investment yield;

Be the 1 energy-storage system year to safeguard expenditure,

C _{1_m}Be the 1 energy-storage system unit capacity year to safeguard expenditure;

Be stored energy capacitance initial value or the optimal value of first energy-storage system;

The constraints of the stored energy capacitance optimization aim function of described second energy-storage system is E ₂〉=0.

5. optimization method according to claim 3 is characterized in that the described stored energy capacitance optimal value that calculates second energy-storage system by optimization

Adopt particle group optimizing method.

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