CN115860287B - Low-carbon economical dispatching method for energy storage and generator set - Google Patents
Low-carbon economical dispatching method for energy storage and generator set Download PDFInfo
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Abstract
The invention discloses a low-carbon economical dispatching method for an energy storage and generator set, which aims at an electric power system formed by the energy storage and a conventional generator set, and builds a target optimization model by using a comprehensive constraint condition formed by the constraint condition of the generator set, the constraint condition of the energy storage system and the power balance constraint condition and an objective function of low-carbon economical operation dispatching to obtain parameters suitable for the target optimization model, namely, low-carbon economical dispatching of the energy storage and generator set is realized. By the scheduling method, complex multi-working-condition load requirements formed by combining any number of generator sets with any fuel type and energy storage can be met, the low-carbon economical operation requirements can be met by full scheduling, the fuel consumption and carbon emission can be effectively reduced, the environment-friendly power generation requirements can be met, and the power generation cost can be greatly reduced.
Description
Technical Field
The invention belongs to the technical field of power generation systems of conventional generator sets, and particularly relates to a low-carbon economical dispatching method for energy storage and generator sets.
Background
The conventional generator set (the generator set taking diesel oil and natural gas as fuel) is widely applied to islands and remote areas with no electricity, low electricity or poor power supply reliability, and in order to ensure peak load power supply, an N-main-standby power supply mode is generally adopted. Because the working condition is complex, the peak load of the electricity demand exists, so that a plurality of conventional generator sets which are operated in parallel do not work at an economic operation point for a long time, the overall operation efficiency is low, and the problems of high fuel consumption, high carbon emission, high fuel cost and the like exist.
Some technical schemes for balancing the load, the consumed active power and the like of a conventional generator set exist in the existing means, for example:
the Chinese patent document with publication number CN109390982A discloses a load balancing control system and method for different types of diesel generating sets of a drilling platform, N diesel generating sets are selected, the capacity and the type of an actuating mechanism of each diesel generating set are different, and each diesel generating set is provided with a controller module, a voltage regulator module and a load distribution module; the input end of the controller module is connected with the corresponding diesel generator set end and the common bus end, the output end of the controller module is respectively and electrically connected with the voltage regulator module and the load distribution module, the voltage regulator module is electrically connected with a generator in the diesel generator set, and the load distribution module is electrically connected with the generator in the diesel generator set; the load distribution modules of the diesel generating sets are connected in parallel through two load distribution lines. According to the scheme, the system is stabilized by a load distribution control circuit according to the proportional distribution of the capacity related parameters of the N diesel generating sets, but the scheme is essentially used for solving the problem of load balancing by proportional distribution, and does not relate to the problem of low-carbon economical operation.
The Chinese patent literature with publication number CN103887826A, publication number 2014, 6 and 25, relates to an active power distribution method with minimum fuel consumption of a plurality of conventional generator sets, firstly, obtaining the relation fit of the output power of the generator sets and the consumed fuel, and then judging the output power to obtain the power distributed by the corresponding generator sets as the minimum running power; or distributing all the generator sets to respective rated powers in sequence; then traversing all the effective power generation configuration states, and obtaining and recording the total fuel consumption cost corresponding to the group of power generation configuration states; and finally, screening the group of generator sets with the lowest total fuel consumption cost from the records to obtain the active power distribution result with the lowest total fuel consumption of the power generation system under the condition of meeting the local power load demand. The scheme is to complete power distribution according to the power-oil consumption characteristic curves of all conventional generator sets, and the problem of low-carbon economical operation realized by combining energy storage is not involved.
The method has the advantages that the existing domestic and foreign electric power systems are seen, a novel electric power system is built based on energy storage, the good scheduling operation method is not achieved from the angles of improving the energy efficiency of a plurality of conventional generator sets operated in parallel by utilizing the energy storage, reducing the overall carbon emission intensity, improving the operation economy and the like, the application of the energy storage in the conventional generator set generating system is greatly developed, the current important trend is realized, the energy storage and the operation and the use of the conventional generator set are fully scheduled, and the method is a necessary measure for realizing the low-carbon economy of the electric power system. Meanwhile, the system is especially necessary for realizing low-carbon emission and economical operation scheduling of the system by combining energy storage in islands and remote areas powered by conventional generator sets. Therefore, it is necessary to design a scheduling method for an electric power system based on low-carbon economy.
Disclosure of Invention
In order to solve the technical problems, the invention provides a low-carbon economical dispatching method for an energy storage and conventional generator set, which can realize low-carbon economical operation dispatching of a system by combining energy storage on the premise of meeting complex multi-working condition load demands aiming at a power system formed by the energy storage and the conventional generator set.
In order to achieve the above object, the present invention has the following technical scheme:
a low-carbon economy dispatching method for an energy storage and generator set is characterized in that a target optimization model is built through a comprehensive constraint condition formed by constraint conditions of the generator set, constraint conditions of an energy storage system and power balance constraint conditions and an objective function of low-carbon economy operation dispatching, and parameters suitable for the target optimization model are obtained, namely low-carbon economy dispatching of the energy storage and generator set is achieved.
The energy storage system specifically refers to an electrochemical energy storage system mainly comprising a lithium ion battery.
The generator set comprisesN（N1) generating set, which is usually a generating set using diesel oil and natural gas as fuel.
The acquisition of the comprehensive constraint is as follows:
s1, specifically, the constraint conditions of the generator set at least comprise: fuel-power characteristic matrix of generator setGPower output constraint matrix of generator setPPower change rate constraint matrix delta of generator setP。
S11, fitting and forming according to fuel consumption data of the N generator sets under different powersNFuel-power characteristic matrix of power generating setGThe method comprises the following steps:
G = A + BP
wherein ：
in the formula ：Arepresenting an idle fuel consumption coefficient matrix;Ba slope matrix of the fuel consumption curve is represented;Prepresentation ofNA power output constraint matrix of the generator set;
represent the firstiOil consumption of the generator set; />
Is the firstiFitting the obtained no-load oil consumption by a generator set;b i to fit the obtained firstiThe slope of the power output and fuel consumption curve of the generator set,representing fuel consumption data per kilowatt of power per unit time;p i given the first to scheduleiStation genset power.
S12, according toNThe allowable working output power range parameters of the generator set formNPower output constraint matrix of power generating setPThe method comprises the following steps:
wherein ：
in the formula ：
representing a generator set operation lower limit matrix;βrepresenting an upper limit matrix of operation of the generator set; />
Represent the firstiThe lower limit operating point of the generator set can be 30% in general;β i is the firstiThe upper limit operating point of the generator set can be generally 100%; />
Andβ i The value of (2) is according toiDetermining an economic operation interval of the generator set;P Ri is the firstiAnd rated power of the generator set.
S13, according toNThe allowable working output power range parameters of the generator set formNPower change rate constraint matrix delta of power generating setPThe method comprises the following steps:
wherein ：
in the formula ：Krepresenting a rate of change matrix per unit time;P i is the firstiThe station generator set schedules given power;P i0 is the first in the last scheduling periodiActual running power of the generator set; deltaTScheduling periods for economy;k i is the firstiRate of change of unit actual power allowed by the station genset.
S2, specifically, the constraint conditions of the energy storage system at least comprise: energy storage charge/discharge constraints, energy storage SOC constraints.
S21, determining energy storage charging/discharging constraint according to the current charging/discharging state of the energy storage system,SOCthe current state of charge of the energy storage system;
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit of charge and discharge power of the energy storage systemp b Can be used as a power supply with adjustable output power:
in the formula ：kis a charge-discharge ratio constant;E B0 the residual capacity of the energy storage system is the residual capacity of the energy storage system when the current discharge period starts;eis a natural constant; deltaTScheduling periods for economy;E B is the total capacity of the energy storage system;cis a capacity ratio constant;
(2) When the energy storage system is in a charged state, the charged state is maintained untilSOCUpper limit of thisCharging and discharging power of time energy storage systemp b Can be used as a power-adjustable load, the value of which does not exceed the maximum charging rate of an energy storage systemγDetermined maximum charging powerp b,max,mcr And does not exceed a maximum charging power determined by a maximum charging current of the energy storage systemp b,max,mcc ：
wherein ：
maximum charging rate of energy storage systemγThe determined maximum charging power:
maximum charging power determined by maximum charging current of the energy storage system:
in the formula ：γmaximum charge rate for the energy storage system; an energy storage system is typically made up of several energy storage units of the same scale,N b the number of the energy storage units in the energy storage system is the number of the energy storage units;I max maximum charging current allowed for an energy storage unit in the energy storage system;V nom rated voltage for an energy storage unit in the energy storage system.
S22, in order to avoid the energy storage system to frequently switch the charge and discharge states, the adopted charge and discharge strategies are as follows: after the energy storage system begins to discharge, untilSOCA lower limit to switch to a charged state; after the energy storage system starts to charge, untilSOCAn upper limit to switch to a discharge state;
s23, according to energy storage charging/discharging constraint and combining a charging/discharging strategy, forming energy storage SOC constraint, and meeting the following conditions:
in the formula ：SOCthe current state of charge of the energy storage system;SOC min is thatSOCA lower limit;SOC max is thatSOCAn upper limit;ηis the efficiency of the energy storage system; deltaTScheduling periods for economy;E B is the total capacity of the energy storage system.
S3, in order to meet the load requirements of complex multiple working conditions, a power balance constraint can be formed:
in the formula ：p b the charge and discharge power of the energy storage system is contracted to be negative and the discharge is contracted to be positive;P L the total required power is the current load;Pobtained in step S12NAnd (5) a power output constraint matrix of the generator set.
Based onNA power generator set for generating a fuel-power characteristic matrix obtained in step S11GMonovalent matrix of fuelCFuel carbon emission coefficient matrix epsilon, cost and carbon emission duty ratio weight coefficient matrixθForming a low-carbon economic operation evaluation functionJThe method comprises the following steps:
fuel unit price matrixCExpressed as:
，C i is the firstiThe unit price of the fuel used by the generator set;
the fuel carbon emission coefficient matrix ε is expressed as:
，ε i is the firstiThe carbon emission coefficient of the fuel used by the generator set; />
Cost and carbon emission duty ratio weight coefficient matrixθExpressed as:θ=（θ 1， θ 2 ），θ 1 for the weight coefficient of the cost ratio, the weight coefficient is 0 to less than or equal toθ 1 ≤1；θ 2 The weight coefficient of the carbon emission is 0 to less than or equal toθ 2 Is less than or equal to 1; wherein,θ 1 and (3) withθ 2 The method meets the following conditions:θ 1 + θ 2 =1 。
in the above step S1-3, 1≤i≤N，iIs an integer.
S4, forming a low-carbon economic operation evaluation functionJTarget optimization model as target:
s41, when the energy storage system is in a discharge state, maintaining the discharge state untilSOCLower limit, at this time:
the method meets the following conditions:
as a target optimization model;
s42, when the energy storage system is in the charging state, the charging state is maintained untilSOCUpper limit, at this time:
the method meets the following conditions:
as a target optimization model.
The beneficial effects of the invention are as follows:
aiming at the power system formed by the energy storage system and the conventional generator set, the invention converts the low-carbon emission and economic dispatch operation problem into the target optimization model solving problem with the low-carbon economic operation evaluation function as the target, can meet the low-carbon economic operation requirement of the power system formed by the conventional generator set and the energy storage of any number and any fuel type, can effectively reduce the fuel consumption, the carbon emission and the user power generation cost, realizes the environment-friendly power generation and improves the economical efficiency.
Drawings
Fig. 1 is a flowchart of a scheduling method in an embodiment of the present invention.
Detailed Description
The invention provides a low-carbon economical dispatching method for energy storage and conventional generator sets, which realizes the low-carbon economical operation requirement of an electric power system formed by conventional generator sets and energy storage of any number and any fuel type, can effectively reduce fuel consumption, carbon emission and user power generation cost, and improves the economical efficiency.
In order to better understand the above technical solution, the following detailed description will refer to the accompanying drawings and specific embodiments, but the embodiments of the present invention are not limited thereto.
Examples:
for the followingN（NMore than or equal to 1) the conventional generator set taking diesel oil and natural gas as fuel comprises a generator set, and the specific scheduling implementation steps are as follows according to the low-carbon economic scheduling method flow chart shown in figure 1:
in the first step, the first step is to provide,Nthe fuel consumption data of the generator set under different powers are fitted to formNFuel-power characteristic matrix of power generating setGThe method comprises the following steps:
G = A + BP
wherein ：
in the formula ：Arepresenting an idle fuel consumption coefficient matrix;Ba slope matrix of the fuel consumption curve is represented;Prepresentation ofNA power output constraint matrix of the generator set;
represent the firstiOil consumption of the generator set; />
Is the firstiFitting the obtained no-load oil consumption by a generator set;b i to fit the obtained firstiThe power output and fuel consumption curve slope of the generator set represent the fuel consumption data of each kilowatt power in unit time;p i given the first to scheduleiThe power of the generator set; 1≤i≤N，iIs an integer.
Second step, according toNThe allowable working output power range parameters of the generator set formNPower output constraint matrix of power generating setPThe method comprises the following steps:
wherein ：
in the formula ：
representing a generator set operation lower limit matrix;βrepresenting an upper limit matrix of operation of the generator set; />
Represent the firstiThe lower limit operating point of the generator set can be 30% in general;β i is the firstiThe upper limit operating point of the generator set can be generally 100%; />
Andβ i The value of (2) is according toiDetermining an economic operation interval of the generator set;P Ri is the firstiRated power of the generator set; 1≤i≤N，iIs an integer.
Third step, according toNThe allowable working output power range parameters of the generator set formNPower change rate constraint matrix delta of power generating setPThe method comprises the following steps:
wherein ：
in the formula ：Krepresenting a rate of change matrix per unit time;P i is the firstiThe station generator set schedules given power;P i0 is the first in the last scheduling periodiActual running power of the generator set; deltaTFor economic dispatch periods (to avoid frequent changes to conventional genset operating points, economic dispatchThe degree period is recommended to be 15-30 min);k i is the firstiThe unit actual power change rate allowed by the generator set; 1≤i≤N，iIs an integer.
Fourth, form energy storage SOC constraint, satisfy:
in the formula ：SOCthe current state of charge of the energy storage system;SOC min is thatSOCA lower limit;SOC max is thatSOCAn upper limit;ηis the efficiency of the energy storage system; deltaTScheduling periods for economy;E B is the total capacity of the energy storage system.
And fifthly, determining the charge/discharge constraint of the energy storage according to the current charge/discharge state of the energy storage.
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit of%SOC min ) At this time, the charge and discharge power of the energy storage systemp b Can be used as a power supply with adjustable output power:
in the formula ：kis a charge-discharge ratio constant;E B0 the residual capacity of the energy storage system is the residual capacity of the energy storage system when the current discharge period starts;eis natural constant, about 2.718; deltaTScheduling periods for economy;E B is the total capacity of the energy storage system;cis a capacity ratio constant;
(2) When the energy storage system is in a charged state, the charged state is maintained untilSOCUpper limit of%SOC max ) Charge-discharge power of systemp b Can be used as a power-adjustable load, the value of which does not exceed the maximum charging rate of an energy storage systemγDetermined maximum charging powerp b,max,mcr And not exceeding the energy storageMaximum charging power determined by maximum charging current of systemp b,max,mcc ：
wherein ：
maximum charging rate of energy storage systemγThe determined maximum charging power:
maximum charging power determined by maximum charging current of the energy storage system:
wherein: an energy storage system is typically made up of several energy storage units of the same scale,N b the number of the energy storage units in the energy storage system is the number of the energy storage units;I max maximum charging current allowed for an energy storage unit in the energy storage system;V nom rated voltage for an energy storage unit in the energy storage system.
Sixth, forming a power balance constraint:
in the formula ：p b for the energy storage charging and discharging power, the charge is negative and the discharge is positive;P L the total required power is the current load;Pand (5) outputting a constraint matrix for the power obtained in the second step.
Seventh, a low-carbon economic operation evaluation function is formedJThe method comprises the following steps:
fuel unit price matrixCExpressed as:
，C i is the firstiThe unit price of the fuel (i.e. diesel oil and natural gas) used by the generator set;
carbon emission coefficient matrix of fuelεExpressed as:
，ε i is the firstiCarbon emission coefficient of fuel (i.e. diesel oil and natural gas) used by the generator set; 1≤i≤N，iIs an integer.
Cost and carbon emission duty ratio weight coefficient matrixθExpressed as:θ =（θ 1 ，θ 2 ），θ 1 for the weight coefficient of the cost ratio, the weight coefficient is 0 to less than or equal toθ 1 ≤1；θ 2 The weight coefficient of the carbon emission is 0 to less than or equal toθ 2 Is less than or equal to 1; wherein,θ 1 and (3) withθ 2 The method meets the following conditions:θ 1 + θ 2 =1。。
and eighth, taking the low-carbon economic operation evaluation function in the seventh step as an objective function, and taking the related conditions in the first step to the sixth step as constraints to form an energy storage and conventional generator set low-carbon economic scheduling objective optimization model.
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit, at this time:
s.t.
as a target optimization model;
(2) When the energy storage system is in a charged state, the charged state is maintained untilSOCUpper limit, at this time:
s.t.
as a target optimization model.
And finally, the low-carbon economical dispatching of the energy storage and conventional generator set is realized by solving a target optimization model.
The following describes the low-carbon economical dispatching by the method by using the actual parallel operation of three diesel generator sets. The specific requirements are as follows:
An energy storage system for a lithium battery,E B0 =50 kWh, initialSOC100 percent, satisfies the following conditions:k=0.5/h，c=0.25
the unit price of the diesel oil is 8 yuan/L, and the carbon emission coefficient of the diesel oil is 2.778 kg CO 2 And (3) the following steps:
when the load demand is 150kW,
(1) Under the condition of no energy storage, each diesel generating set distributes 50kW by a conventional proportional distribution method, and the total oil consumption is as follows: 69L, the fuel consumption cost is 552 yuan, and the equivalent emission is 191.682 kg CO 2 。
(2) Under the condition of energy storage, the method is adopted for distribution, and the distribution power is as follows:
the dispatching power of the three diesel generating sets is as follows:
the total oil consumption is as follows: 20.7L of oilThe consumption cost is 165.6 yuan, and the equivalent emission is 57.5046 kg CO 2 。
The method reduces the oil consumption cost from 552 yuan to 165.6 yuan, and the carbon emission is 191.682 kg CO 2 Reduced to 57.5046 kg CO 2 . Therefore, the effectiveness and the practicability of the method are fully illustrated through the examples, so that the fuel consumption, the carbon emission and the user power generation cost can be effectively reduced, the environment-friendly power generation is realized, and the economical efficiency is improved.
Claims (10)
1. A low-carbon economical dispatching method for an energy storage and generator set is characterized in that a target optimization model is built through a comprehensive constraint condition formed by constraint conditions of the generator set, constraint conditions of an energy storage system and power balance constraint conditions and an objective function of low-carbon economical operation dispatching, and parameters suitable for the target optimization model are obtained, namely, the low-carbon economical dispatching is carried out on the energy storage and generator set through the target optimization model; wherein:
the constraint conditions of the generator set at least comprise: fuel-power characteristic matrix of generator setGPower output constraint matrix of generator setPPower change rate constraint matrix delta of generator setP；
The constraint conditions of the energy storage system at least comprise: energy storage charging/discharging constraint and energy storageSOCConstraint;
taking the low-carbon economic operation evaluation function as an objective function of low-carbon economic operation scheduling;
based onNGenerating set, according to fuel-power characteristic matrix of generating setGMonovalent matrix of fuelCCarbon emission coefficient matrix of fuelεWeight coefficient matrix of cost and carbon emission ratioγForming a low-carbon economic operation evaluation functionJWith the obtained low-carbon economic operation evaluation functionJAs an objective function of low-carbon economy operation scheduling, whereinJThe method meets the following conditions:
wherein ：
indicate get "/">
"minimum optimization problem; fuel unit price matrixCExpressed as: />
，C i Is the firstiThe unit price of the fuel used by the generator set; carbon emission coefficient matrix of fuelεExpressed as: />
，ε i Is the firstiThe carbon emission coefficient of the fuel used by the generator set; 1≤i≤N，iIs an integer;
cost and carbon emission duty ratio weight coefficient matrixθExpressed as:θ=（θ 1 ，θ 2 ），θ 1 for the weight coefficient of the cost ratio, the weight coefficient is 0 to less than or equal toθ 1 ≤1；θ 2 The weight coefficient of the carbon emission is 0 to less than or equal toθ 2 Is less than or equal to 1; wherein,θ 1 and (3) withθ 2 The method meets the following conditions:θ 1 + θ 2 =1。
2. the low-carbon economic dispatch method for energy storage and generator sets of claim 1 wherein the energy storage system is a lithium ion battery based electrochemical energy storage system; the generator set comprisesNThe power generation unit is arranged on the platform,N1 or more; the generator set refers to a generator set taking diesel oil or natural gas as fuel.
3. The low carbon economy scheduling method for energy storage and generator sets according to claim 2, wherein, according toNThe fuel consumption data of the generator set under different powers are fitted to formNFuel-power characteristic matrix of power generating setGThe method comprises the following steps:
G = A + BP
wherein ：
in the formula ：Arepresenting an idle fuel consumption coefficient matrix;Ba slope matrix of the fuel consumption curve is represented;Prepresentation ofNA power output constraint matrix of the generator set;
represent the firstiOil consumption of the generator set; />
Is the firstiFitting the obtained no-load oil consumption by a generator set;b i to fit the obtained firstiThe power output and fuel consumption curve slope of the generator set;p i given the first to scheduleiThe power of the generator set; 1≤i≤N，iIs an integer.
4. The low carbon economy scheduling method for energy storage and generator sets according to claim 2, wherein, according toNWork output permission of generator setPower range parameters, formationNPower output constraint matrix of power generating setPThe method comprises the following steps:
α≤ P ≤β
wherein ：
in the formula ：
representing a generator set operation lower limit matrix;βrepresenting an upper limit matrix of operation of the generator set; />
Represent the firstiThe lower limit operating point of the generator set;β i is an upper operating limit operating point; />
Andβ i The value of (2) is according toiDetermining an economic operation interval of the generator set;P Ri is the firstiRated power of the generator set; 1≤i≤N，iIs an integer.
5. The low carbon economy scheduling method for energy storage and generator sets according to claim 2, wherein, according toNThe range parameters of the allowable working output power of the generator set formNPower change rate constraint matrix delta of power generating setPThe method comprises the following steps:
wherein ：
in the formula ：Krepresenting a rate of change matrix per unit time;P i is the firstiThe station generator set schedules given power;P i0 for unit first in last dispatch periodiActual running power of the generator set; deltaTScheduling periods for economy;k i is the firstiThe unit actual power change rate allowed by the generator set; 1≤i≤N，iIs an integer.
6. The method for low-carbon economy scheduling of energy storage and generator sets according to claim 2, wherein the energy storage charging/discharging constraints are determined based on the current charge and discharge state of the energy storage system,SOCthe current state of charge of the energy storage system;
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit of charge and discharge power of the energy storage systemp b Can be used as a power supply with adjustable output power:
in the formula ：kis a charge-discharge ratio constant;E B0 the residual capacity of the energy storage system is the residual capacity of the energy storage system when the current discharge period starts;eis a natural constant; deltaTScheduling periods for economy;E B is the total capacity of the energy storage system;cis a capacity ratio constant;
(2) When the energy storage system is in a charged state, the charged state is maintained untilSOCUpper limit, at this time, the charge and discharge power of the energy storage systemp b As a power-adjustable load, the value of which does not exceed the maximum rate of charge of the energy storage systemγDetermined maximum charging powerp b,max,mcr And does not exceed a maximum charging power determined by a maximum charging current of the energy storage systemp b,max,mcc ：
wherein ：
maximum charging rate of energy storage systemγThe determined maximum charging power:
maximum charging power determined by maximum charging current of the energy storage system:
in the formula ：γmaximum charge rate for the energy storage system;N b the number of the energy storage units in the energy storage system is the number of the energy storage units;I max maximum charging current allowed for an energy storage unit in the energy storage system;V nom rated voltage for an energy storage unit in the energy storage system.
7. The low-carbon economic dispatch method for an energy storage and generator set of claim 6, wherein the energy storage system employs a charge-discharge strategy of: after the energy storage system begins to discharge, untilSOCA lower limit to switch to a charged state; after the energy storage system starts to charge, untilSOCUpper limit, is switched to the discharge state.
8. The method for low-carbon economy scheduling of energy storage and generator sets according to claim 7, wherein the energy storage and discharge constraints are combined with a charge and discharge strategy to formEnergy storageSOCConstraint, satisfy:
in the formula ：SOCthe current state of charge of the energy storage system;SOC min is thatSOCA lower limit;SOC max is thatSOCAn upper limit;ηis the energy storage system efficiency.
9. The low-carbon economy scheduling method for energy storage and generator sets according to claim 6, wherein, to meet load requirements for complex multiple operating conditions, a power balance constraint is formed:
in the formula ：p b the charge and discharge power of the energy storage system is contracted to be negative and the discharge is contracted to be positive;P L the total required power is the current load;Pand (5) outputting a constraint matrix for the power of the generator set.
10. The low carbon economy scheduling method for energy storage and generator sets of claim 1 wherein a low carbon economy running evaluation function is formed from the obtainedJTarget optimization model as target:
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit, at this time:
As a target optimization model;
(2) When the energy storage system isIn the charged state, the charged state is maintained untilSOCUpper limit, at this time:
the method meets the following conditions:
as a target optimization model;
wherein ：
Arepresenting an idle fuel consumption coefficient matrix;Ba slope matrix of the fuel consumption curve is represented;Prepresenting a power output constraint matrix of the generator set;
ΔPrepresenting a power change rate constraint matrix of the generator set;Krepresenting a rate of change matrix per unit time;
p b representing the charge and discharge power of the energy storage system;kis a charge-discharge ratio constant;E B0 the residual capacity of the energy storage system is the residual capacity of the energy storage system when the current discharge period starts;eis a natural constant; deltaTScheduling periods for economy;E B is the total capacity of the energy storage system;cis a capacity ratio constant;p b,max,mcr indicating the maximum charge rate by the energy storage systemγThe determined maximum charging power is used for the battery,p b,max,mcc representing a maximum charging power determined by a maximum charging current of the energy storage system;
SOCthe current state of charge of the energy storage system;SOC min representation ofSOCA lower limit;SOC max representation ofSOCAn upper limit;ηrepresenting energy storage system efficiency;P L the total required power for the current load.
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