CN115860287A - Low-carbon economical scheduling method for energy storage and generator set - Google Patents
Low-carbon economical scheduling method for energy storage and generator set Download PDFInfo
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Abstract
The invention discloses a low-carbon economic 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, builds a target optimization model through a comprehensive constraint condition formed by a constraint condition of the generator set, a constraint condition of an energy storage system and a power balance constraint condition and an objective function of low-carbon economic operation dispatching, obtains parameters suitable for the target optimization model, and realizes the low-carbon economic dispatching of the energy storage and generator set. By the scheduling method, the complex multi-working condition load requirement formed by combining the generator sets with any number and any fuel type and energy storage can be met, the low-carbon economical operation requirement can be met by fully scheduling, the fuel consumption and the carbon emission can be effectively reduced, the environment-friendly power generation requirement 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 scheduling method for energy storage and generator sets.
Background
Conventional generator sets (generator sets using diesel oil and natural gas as fuels) are widely applied to islands without electricity, power shortage or poor power supply reliability and remote areas, and in order to guarantee peak load power supply, a power supply mode of N main power supply and N standby power supply is generally adopted. Due to the fact that the working condition is complex, and the peak load of electricity demand exists, 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 large fuel consumption, high carbon emission, high fuel cost and the like exist.
Some technical solutions for balancing the load, the consumed active power and the like of a conventional generator set also exist in the existing means, for example:
the disclosure date is 2019, 2 month and 26 days, and the disclosure number is CN109390982A, and discloses a load balance control system and method for different types of diesel generator sets of a drilling platform, wherein N diesel generator sets are selected, the capacity and the type of an actuating mechanism of each diesel generator set are different, and each diesel generator 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 a diesel engine in the diesel generator set; the load distribution modules of the diesel generator sets are connected in parallel through two load distribution lines. According to the scheme, the system is stabilized through the load distribution control circuit according to the proportional distribution of the capacity related parameters of the N diesel generator sets, but the load balance problem is solved through the proportional distribution, and the low-carbon economical operation problem is not involved.
The invention discloses a Chinese patent document with publication number CN103887826A, the publication number of which is 2014, 6, 25 and relates to an active power distribution method for a plurality of conventional generator set systems consuming least fuel, firstly, the relation fitting between the output power of the generator set and the consumed fuel is obtained, then, the output power is judged, and the distributed power of the corresponding generator set is obtained and is the minimum operating power of the corresponding generator set; or all the generator sets are distributed to respective rated power according to the sequence; then traversing all the effective power generation configuration states, and solving and recording the total fuel consumption cost corresponding to the group of power generation configuration states; and finally, screening the set 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 requirement. The scheme is used for completing power distribution according to power-oil consumption characteristic curves of all conventional generator sets, and the problem of low-carbon economical operation by combining energy storage is not involved.
It can be seen that the existing domestic and foreign electric power systems construct a novel electric power system based on energy storage, and no better scheduling operation method based on low-carbon economy aspects such as improving the energy efficiency of a plurality of parallel operation conventional generator sets by utilizing the energy storage, reducing the whole carbon emission intensity, improving the operation economy and the like exists, but the application of the energy storage in the conventional generator set power generation system is a current important trend, the energy storage and the operation 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, for islands and remote areas powered by conventional generator sets, low-carbon emission and economic operation scheduling of the system are realized by combining energy storage. 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 economic dispatching method for an energy storage and conventional generator set, which can be used for realizing low-carbon economic operation dispatching of a system by combining energy storage and conventional generator set on the premise of meeting the complex multi-working-condition load requirements aiming at an electric power system formed by the energy storage and the conventional generator set.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a low-carbon economic 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 a constraint condition of the generator set, a constraint condition of an energy storage system and a power balance constraint condition and a target function of low-carbon economic operation dispatching, parameters suitable for the target optimization model are obtained, and low-carbon economic 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（NAnd the power generating set is generally a power generating set taking diesel oil and natural gas as fuels.
The synthetic constraints are obtained 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 table generator setGAnd satisfies the following conditions:
G = A + BP
wherein ：
in the formula ：Aexpressing an unloaded fuel consumption coefficient matrix;Brepresenting a slope matrix of the fuel consumption curve;PrepresentNA power output constraint matrix of the platform generator set;
is shown asiThe oil consumption of the platform generator set;
Is as followsiThe no-load oil consumption is obtained by the fitting of the platform generator set;b i to obtain the first of fittingiThe slope of the power output and fuel consumption curve of the power generating set represents the consumed fuel quantity data of each kilowatt power in unit time;p i given for schedulingiAnd (4) generating set power.
S12, according toNAllowable working output power range parameter of platform generator set is formedNPower output constraint matrix of platform generator setPAnd satisfies the following conditions:
wherein ：
in the formula ：
representing a generator set operation lower limit matrix;βrepresenting a generator set operation upper limit matrix;
Is shown asiThe operating lower limit working point of the platform generator set can generally take a value of 30%;β i is as followsiThe operating upper limit working point of the platform generator set can generally take a value of 100%;
Andβ i is specifically based oniDetermining an economic operation interval of a platform generator set;P Ri is as followsiAnd rated power of the generator set.
S13, according toNAllowable working output power range parameter of platform generator set is formedNPower change rate constraint matrix delta of platform generator setPAnd satisfies the following conditions:
wherein ：
in the formula ：Krepresenting a rate of change matrix per unit time;P i is as followsiA generating set schedules given power;P i0 is the first in the last scheduling periodiActual operating power of the generator set; deltaTAn economic dispatch period;k i is as followsiThe rate of change per unit of actual power allowed by the genset.
And 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, charge and discharge power of the energy storage system at this timep b Can be used as a power supply with adjustable output power:
in the formula ：kis a constant charge-discharge ratio;E B0 the residual capacity of the energy storage system when the current discharge cycle starts;eis a natural constant; deltaTAn economic dispatch period;E B the total capacity of the energy storage system;cis a capacity rate constant;
(2) When the energy storage system is in a charging state, the charging state is maintained untilSOCUpper limit, at which the charge-discharge power of the energy storage systemp b Can be used as a load with adjustable power, and the value of the load does not exceed the maximum charging rate of the energy storage systemγDetermined maximum charging powerp b,max,mcr And does not exceed the maximum charging power determined by the maximum charging current of the energy storage systemp b,max,mcc ：
wherein ：
maximum charge rate of energy storage systemγDetermined maximum charging power:
maximum charging power determined by the maximum charging current of the energy storage system:
in the formula ：γis the maximum charge rate of the energy storage system; the energy storage system is generally composed of a plurality of energy storage units with the same size,N b the number of the energy storage units in the energy storage system;I max the maximum charging current allowed by an energy storage unit in the energy storage system;V nom the voltage rating of the energy storage unit in the energy storage system is provided.
S22, in order to avoid frequent switching of the charging and discharging states of the energy storage system, the charging and discharging strategy is as follows: after the energy storage system begins to discharge, untilSOCThe lower limit is switched to the charging state; after the energy storage system begins to charge, untilSOCThe upper limit is switched to the discharge state;
s23, forming energy storage SOC constraint according to energy storage charging/discharging constraint and by combining a charging and discharging strategy, and meeting the following requirements:
in the formula ：SOCthe current state of charge of the energy storage system;SOC min is composed ofSOCA lower limit;SOC max is composed ofSOCAn upper limit;ηto the energy storage system efficiency; deltaTAn economic dispatch period;E B is the total capacity of the energy storage system.
S3, in order to meet the load requirements of complex multi-working conditions, power balance constraint can be formed:
in the formula ：p b appointing the charging to be negative and the discharging to be positive for the charging and discharging power of the energy storage system;P L the total required power is the current load;Pobtained in step S12NAnd the power output constraint matrix of the platform generator set.
Based onNA generator set based on the fuel-power characteristic matrix obtained in step S11GFuel unit price matrixCA fuel carbon emission coefficient matrix epsilon, a cost and carbon emission ratio weight coefficient matrixθForming a low-carbon economic operation evaluation functionJAnd satisfies the following conditions:
fuel unit price matrixCExpressed as:
，C i is a firstiThe unit price of the fuel used by the generator set;
the fuel carbon emission coefficient matrix epsilon is expressed as:
，ε i is as followsiCarbon emission coefficient of fuel used by the platform generator set;
cost and carbon emission ratio weight coefficient matrixθExpressed as:θ=（θ 1， θ 2 ），θ 1 the weight coefficient of the cost is satisfied with 0 ≦θ 1 ≤1；θ 2 The weight coefficient of carbon emission is satisfied with 0 ≦θ 2 Less than or equal to 1; wherein,θ 1 andθ 2 satisfies the following conditions:θ 1 + θ 2 =1 。
in the above step S1-3, 1≤i≤N，iAre integers.
S4, forming an evaluation function of the obtained low-carbon economic operationJTargeted goal optimization model:
s41, when the energy storage system is in the discharging state, the discharging state is maintained until the energy storage system is in the discharging stateSOCLower limit, at which:
satisfies the following conditions:
as a target optimization model;
s42, when the energy storage system is in the charging state, the charging state is maintained until the energy storage system is in the charging stateSOCUpper limit, at this time:
satisfies the following conditions:
as a target optimization model.
The invention has the following beneficial effects:
aiming at the power system consisting of the energy storage system and the conventional generator set, the low-carbon emission and economic dispatching operation problem is converted into the target optimization model solving problem taking the low-carbon economic operation evaluation function as the target, the low-carbon economic operation requirement of the power system consisting of the conventional generator sets and the energy storage in any number and any fuel type can be met, 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 economy is improved.
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 scheduling method for energy storage and conventional generator sets, which meets the low-carbon economical operation requirement of a power system formed by the conventional generator sets and the energy storage of any number and any fuel type, can effectively reduce fuel consumption, carbon emission and user power generation cost, and improves economy.
For better understanding of the above technical solutions, the above technical solutions will be described in detail with reference to the drawings and specific embodiments of the present invention, but the embodiments of the present invention are not limited thereto.
Example (b):
for theN（NNot less than 1) the conventional generator set using diesel oil and natural gas as fuels 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 that,Nthe fuel consumption data of the platform generator set under different powers are formed by fittingNFuel-power characteristic matrix of table generator setGAnd satisfies the following conditions:
G = A + BP
wherein ：
in the formula ：Arepresenting an unloaded fuel consumption coefficient matrix;Brepresenting a slope matrix of the fuel consumption curve;Pto representNA power output constraint matrix of the platform generator set;
is shown asiThe oil consumption of the platform generator set;
Is as followsiThe no-load oil consumption is obtained by the fitting of the platform generator set;b i to obtain the first of fittingiThe slope of the power output and fuel consumption curve of the power generating set represents the consumed fuel quantity data of each kilowatt power in unit time;p i given for schedulingiThe power of a generator set; 1≤i≤N，iAre integers.
A second step according toNAllowable working output power range parameter of platform generator set is formedNPower output constraint matrix of platform generator setPSatisfies the following conditions:
wherein ：
in the formula ：
representing a generator set operation lower limit matrix;βrepresenting a generator set operation upper limit matrix;
Is shown asiThe operating lower limit working point of the platform generator set can generally take a value of 30%;β i is as followsiThe operating upper limit working point of the platform generator set can generally take a value of 100%;
Andβ i is specifically based oniDetermining an economic operation interval of a generator set;P Ri is as followsiRated power of the platform generator set; 1≤i≤N，iAre integers.
A third step according toNAllowable working output power range parameter of platform generator set is formedNPower change rate constraint matrix delta of platform generator setPAnd satisfies the following conditions:
wherein ：
in the formula ：Krepresenting a rate of change matrix per unit time;P i is a firstiA generating set schedules given power;P i0 is the first in the last scheduling periodiActual operating power of the platform generator set; deltaTAn economic dispatching cycle (in order to avoid frequently changing the operating point of a conventional generator set, the economic dispatching cycle is recommended to be 15min to 30min);k i is as followsiThe unit actual power change rate allowed by the generator set; 1≤i≤N，iIs an integer.
Fourthly, forming energy storage SOC constraint, and meeting the following requirements:
in the formula ：SOCthe current state of charge of the energy storage system;SOC min is composed ofSOCA lower limit;SOC max is composed ofSOCAn upper limit;ηto the energy storage system efficiency; deltaTAn economic dispatch period;E B is the total capacity of the energy storage system.
And fifthly, determining the energy storage charging/discharging constraint according to the current charging/discharging state of the energy storage.
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit (SOC min ) At this time, the charging and discharging 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 for the beginning of the current discharge cycle, the energy storage systemThe remaining capacity;eis a natural constant of about 2.718; delta ofTAn economic dispatch period;E B the total capacity of the energy storage system;cis a capacity rate constant;
(2) When the energy storage system is in a charging state, the charging state is maintained untilSOCUpper limit (SOC max ) Charge and discharge power of the systemp b Can be used as a load with adjustable power, and the value of the load does not exceed the maximum charging rate of the energy storage systemγDetermined maximum charging powerp b,max,mcr And does not exceed the maximum charging power determined by the maximum charging current of the energy storage systemp b,max,mcc ：
wherein ：
maximum charge rate of energy storage systemγDetermined maximum charging power:
maximum charging power determined by the maximum charging current of the energy storage system:
in the formula: the energy storage system is generally composed of a plurality of energy storage units with the same size,N b the number of the energy storage units in the energy storage system;I max the maximum charging current allowed by an energy storage unit in the energy storage system;V nom the voltage rating of the energy storage unit in the energy storage system is provided.
And sixthly, forming a power balance constraint:
in the formula ：p b for energy storage charge and discharge power, charging is appointed to be negative, and discharging is appointed to be positive;P L the total required power is the current load;Pand constraining the matrix for the power output obtained in the second step.
Seventhly, forming a low-carbon economic operation evaluation functionJSatisfies the following conditions:
fuel unit price matrixCExpressed as:
，C i is a firstiThe unit price of the fuel (namely diesel oil and natural gas) used by the platform generator set;
fuel carbon emission coefficient matrixεExpressed as:
，ε i is a firstiCarbon emission coefficient of fuel (namely diesel oil and natural gas) used by the platform generator set; 1≤i≤N，iIs an integer.
Cost and carbon emission ratio weight coefficient matrixθExpressed as:θ =（θ 1 ，θ 2 ），θ 1 the weight coefficient of the cost is satisfied with 0 ≦θ 1 ≤1；θ 2 The weight coefficient of carbon emission is satisfied with 0 ≦θ 2 Less than or equal to 1; wherein,θ 1 andθ 2 satisfies the following conditions:θ 1 + θ 2 =1。。
and eighthly, forming an energy storage and conventional generator set low-carbon economic dispatching target optimization model by taking the low-carbon economic operation evaluation function in the seventh step as a target function and taking the relevant conditions from the first step to the sixth step as constraints.
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit, at which:
s.t.
as a target optimization model;
(2) When the energy storage system is in a charging state, the charging 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 the conventional generator set is realized by solving the target optimization model.
In the following, the low-carbon economical dispatching is explained by the method by actually running three diesel generator sets in parallel. The concrete requirements are as follows:
An energy storage system of a lithium battery is provided,E B0 =50kWh, initialSOC100%, satisfies: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 The ratio of/L is:
when the load demand is 150kW,
(1) Under the condition of no energy storage, by a conventional proportion distribution method, each diesel generator set distributes 50kW, and the total oil consumption is as follows: 69L, oil consumption cost of 552 yuan, and equivalent emission of 191.682 kg of CO 2 。
(2) Under the condition of energy storage, the method of the invention is adopted to distribute, and then the distributed power is as follows:
the scheduling power of the three diesel generating sets is as follows:
the total oil consumption is: 20.7L, oil consumption cost of 165.6 yuan, and equivalent emission of 57.5046 kg of CO 2 。
By the method, the oil consumption cost is reduced from 552 yuan to 165.6 yuan, and the carbon emission is 191.682 kg of CO 2 Reduced to 57.5046 kg CO 2 . Therefore, the effectiveness and the feasibility of the method are fully demonstrated through the examples, and the authenticity of 'effectively reducing fuel consumption, carbon emission and power generation cost of users, realizing environment-friendly power generation and improving economy' can be realized.
Claims (11)
1. A low-carbon economic 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 a constraint condition of the generator set, a constraint condition of an energy storage system and a power balance constraint condition and an objective function of low-carbon economic operation dispatching, parameters suitable for the target optimization model are obtained, and low-carbon economic 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 constraints of the energy storage system include at least: energy storage charge/discharge confinement, energy storageSOCConstraining;
and taking the low-carbon economic operation evaluation function as a target function of low-carbon economic operation scheduling.
2. For energy storage according to claim 1 andthe low-carbon economical dispatching method of the generator set is characterized in that the energy storage system is an electrochemical energy storage system mainly comprising a lithium ion battery; the generator set comprisesNA power generating unit is arranged on the base station,Nnot less than 1; 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 of claim 2, wherein the method is based onNThe fuel consumption data of the platform generator set under different powers are formed by fittingNFuel-power characteristic matrix of table generator setGAnd satisfies the following conditions:
G = A + BP
wherein ：
in the formula ：Arepresenting an unloaded fuel consumption coefficient matrix;Brepresenting a slope matrix of the fuel consumption curve;PrepresentNA power output constraint matrix of the platform generator set;
denotes the firstiThe oil consumption of the platform generator set;
Is as followsiThe no-load oil consumption is obtained by the fitting of the platform generator set;b i to obtain the first of fittingiThe power output of the generator set and the slope of the fuel consumption curve;p i given for schedulingTo (1)iThe power of a generator set; 1≤i≤N，iAre integers.
4. The low carbon economy scheduling method for energy storage and generator sets of claim 2, wherein the method is based onNAllowable working output power range parameter of platform generator set is formedNPower output constraint matrix of platform generator setPAnd satisfies the following conditions:
α≤ P ≤β
wherein ：
in the formula ：
representing a generator set operation lower limit matrix;βrepresenting a generator set operation upper limit matrix;
Is shown asiThe operation lower limit working point of the platform generator set;β i is the operating upper limit operating point;
Andβ i is specifically determined according toiDetermining an economic operation interval of a generator set;P Ri is a firstiRated power of the generator set; 1≤i≤N，iAre integers.
5. The low carbon economy scheduling method for energy storage and generator sets of claim 2, wherein the method is based onNThe allowable working output power range parameter of the platform generator set is formedNPower change rate constraint matrix delta of platform generator setPAnd satisfies the following conditions:
wherein ：
in the formula ：Krepresenting a rate of change matrix per unit time;P i is as followsiA generating set schedules given power;P i0 for the unit in the last dispatching cycleiActual operating power of the platform generator set; deltaTAn economic dispatch period;k i is as followsiThe unit actual power change rate allowed by the generator set; 1≤i≤N，iIs an integer.
6. The low-carbon economic dispatching method for the energy storage and generator set according to claim 2, characterized in that the energy storage charging/discharging constraint is determined 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, charge and discharge power of the energy storage system at this timep b Can be used as a power supply with adjustable output power:
in the formula ：kis a constant charge-discharge ratio;E B0 the residual capacity of the energy storage system when the current discharge cycle starts;eis a natural constant; delta ofTAn economic dispatch period;E B is the total capacity of the energy storage system;cis a capacity ratioA rate constant;
(2) When the energy storage system is in a charging state, the charging state is maintained untilSOCUpper limit, at which the charge-discharge power of the energy storage systemp b As a power-adjustable load, the value of which does not exceed the maximum charging rate of the energy storage systemγDetermined maximum charging powerp b,max,mcr And does not exceed the maximum charging power determined by the maximum charging current of the energy storage systemp b,max,mcc ：
wherein ：
maximum charge rate of energy storage systemγDetermined maximum charging power:
maximum charging power determined by the maximum charging current of the energy storage system:
in the formula ：γis the maximum charge rate of the energy storage system;N b the number of the energy storage units in the energy storage system;I max the maximum charging current allowed by an energy storage unit in the energy storage system;V nom the voltage rating of the energy storage unit in the energy storage system is provided.
7. The low-carbon economic dispatching method for the energy storage and generator set of claim 6, wherein the energy storage system adopts a charge-discharge strategy of: after the energy storage system begins to discharge, untilSOCThe lower limit is switched to the charging state; when storing energyAfter the system starts to charge, untilSOCThe upper limit, the discharge state is switched.
8. The low-carbon economic dispatching method for the energy storage and generator set according to claim 7, wherein the energy storage is formed according to energy storage charge-discharge constraints in combination with charge-discharge strategiesSOCAnd (3) constraining, and satisfying:
in the formula ：SOCthe current state of charge of the energy storage system;SOC min is composed ofSOCA lower limit;SOC max is composed ofSOCAn upper limit;ηto energy storage system efficiency.
9. The low-carbon economic dispatching method for the energy storage and generator set according to claim 6, wherein to meet the load requirements of complex multi-operating conditions, a power balance constraint is formed:
in the formula ：p b appointing the charging to be negative and the discharging to be positive for the charging and discharging power of the energy storage system;P L the total required power is the current load;Pand (4) constraining a matrix for the power output of the generator set.
10. The low-carbon economic dispatching method for the energy storage and generator set of claim 7, wherein the dispatching method is based onNA generator set according to the fuel-power characteristic matrix of the generator setGFuel unit price matrixCFuel carbon emission coefficient matrixεCost and carbon emission ratio weight coefficient matrixγForming a low-carbon economic operation evaluation functionJUsing the obtained low-carbon economic operation evaluation functionJAs an objective function of low carbon economy operation scheduling, whereinJSatisfies the following conditions:
wherein ：
means to take `>
"optimization problem of minimum value; fuel unit price matrixCExpressed as:
，C i Is as followsiThe unit price of the fuel used by the platform generator set; fuel carbon emission coefficient matrixεExpressed as:
，ε i is as followsiCarbon emission coefficient of fuel used by the platform generator set; 1≤i≤N，iIs an integer;
cost and carbon emission ratio weight coefficient matrixθExpressed as:θ =（θ 1 ，θ 2 ），θ 1 the weight coefficient of the cost is satisfied with 0 ≦θ 1 ≤1；θ 2 The weight coefficient of carbon emission is satisfied with 0 ≦θ 2 Less than or equal to 1; wherein,θ 1 andθ 2 satisfies the following conditions:θ 1 + θ 2 =1。
11. the low carbon economy scheduling method for an energy storage and generator set of claim 10, wherein the resulting low carbon economy operation merit function is formedJTargeted goal optimization model:
(1) When the energy storage system is in a discharge state, the discharge state is maintained untilSOCLower limit, at which:
satisfies the following conditions:
as a target optimization model;
(2) When the energy storage system is in a charging state, the charging state is maintained untilSOCUpper limit, at this time:
satisfies the following conditions:
as a target optimization model;
wherein ：Arepresenting an unloaded fuel consumption coefficient matrix;Brepresenting a slope matrix of the fuel consumption curve;Prepresenting a power output constraint matrix of the generator set;
representing a generator set operation lower limit matrix;βrepresenting a generator set operation upper limit matrix; deltaPRepresenting a power rate of change constraint matrix of the generator set;Ka matrix representing a rate of change per unit time; SOC min representSOCA lower limit;SOC max to representSOCAn upper limit;ηrepresenting energy storage system efficiency;P L the total required power is the current load. />
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