CN115663868A - Energy storage operation optimization method considering local intermittent power supply income - Google Patents
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Abstract
The invention discloses an energy storage operation optimization method considering local intermittent power supply income, which comprises the following steps: 1) obtaining a predicted value of output power of the intermittent power supply and a predicted value of power load of a local power consumer, wherein predicted data are used for constructing a mathematical model, 2) constructing a mathematical model related to an energy storage operation optimization model, 3) calling a mathematical optimization solver to solve the mathematical model to obtain an output value of the mathematical model, and 4) calculating according to the output value to obtain operation arrangement of energy storage and a total yield value of the energy storage and the intermittent power supply. The invention solves the problem of energy storage operation optimization when a distributed energy operator with energy storage and an intermittent power supply participates in electric energy transaction in a time-of-use electricity price environment, and the aim of optimizing the energy storage operation is that the overall profit (energy storage + intermittent power supply) in the electric energy transaction is the maximum under the condition that the distributed energy operator preferentially meets the electricity demand of local power consumers.
Description
Technical Field
The invention belongs to the technical field of power system automation/energy storage operation optimization, and particularly relates to an energy storage operation optimization method considering local intermittent power supply income.
Background
Distributed energy needs to be managed effectively, otherwise unstable output of intermittent power sources like photovoltaic power generation may cause a series of faults in the power grid. The intermittent power output can be effectively relieved by configuring the energy storage device for the intermittent power source. Meanwhile, energy storage is configured on the power grid, so that peak shaving and frequency modulation services can be provided for the power grid, and therefore benefits are obtained. However, how to set the charging and discharging operation of the stored energy in the source-load storage and distribution power grid scene is an important problem. For the operation optimization problem of energy storage in such a scenario, a difficulty exists in how to effectively set the energy storage operation to obtain the maximum benefit of the overall operation of the distributed energy, and factors such as benefit calculation and operation constraint need to be considered. There is still much room for improvement in current research work on energy storage operation optimization. Fig. 2 is a diagram of a distributed energy scenario, which reflects that the stored energy and the discharged electric energy can only supply power to local users, wherein arrows on a power line represent the direction of the electric power transmitted by the electric power line, and only the stored energy power line can transmit power bidirectionally. 2 related patents were found in the prior art. One of the patents, a communication base station energy storage system multi-mode optimization operation method, proposes to use an energy storage system of a communication base station to participate in optimization of power load and new energy output of a power distribution network in a region, and develops three operation modes for this reason: fluctuation stabilization, time-of-use electricity price and standby supply. Another patent, "an energy storage optimization operation method of an electric power system under a condition of multiple source, grid and load constraints" proposes to construct an energy storage operation optimization model considering different application scenes of source, grid and load, and then to solve the energy storage operation optimization model after determining the capacity and configuration location of energy storage to obtain the optimal operation parameters of energy storage. The technical solutions disclosed in the two patents have the above problems in the prior art.
Disclosure of Invention
Aiming at the existing problems, the invention analyzes the energy storage operation optimization problem in the scene of a source charge storage and distribution power grid, considers the electric energy transaction scene of time-of-use electricity price and the unstable output of an intermittent power supply, simultaneously considers the constraint conditions such as transformer capacity and the like, calculates the energy storage operation arrangement by taking the maximum total profit of the energy storage and the intermittent power supply as the optimization target, solves the energy storage operation optimization problem when a distributed energy operator with the energy storage and the intermittent power supply participates in the electric energy transaction in the environment of the time-of-use electricity price, and ensures that the overall profit (the energy storage and the intermittent power supply) of the distributed energy operator in the electric energy transaction is the maximum and takes the local intermittent power supply profit into consideration under the condition of preferentially meeting the power consumption demand of local power consumers.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
the technical scheme of the invention is realized as follows: an energy storage operation optimization method considering local intermittent power supply benefits comprises the following steps:
1) Obtaining a predicted value of output power of the intermittent power source and a predicted value of the electricity load of the local electricity consumer on the day, wherein the predicted data is used for constructing a mathematical model;
2) Constructing a mathematical model about an energy storage operation optimization model;
3) Calling a mathematical optimization solver to solve the mathematical model to obtain an output value of the mathematical model;
4) And calculating according to the output value to obtain the running arrangement of the stored energy and the total benefit value of the stored energy and the intermittent power supply.
Preferably, said step 1) means "acquiring said daily prediction data": acquiring prediction data required for constructing an energy storage operation optimization model in the day to be subjected to energy storage optimization, wherein the required prediction data comprise: the predicted value of the output power of the intermittent power source on the day and the predicted value of the electricity load of the local electricity consumers on the day.
Preferably, the step 2) refers to "building an energy storage operation optimization model": constructing a mathematical model based on parameters and the prediction data obtained from step 1, wherein the parameters are: the method comprises the following steps of (1) time granularity, time-of-use electricity price, energy storage multiplying power, charging and discharging depth, total capacity, initial SOC value, rated power, rated capacity of a transformer connected with an external network, power transmission efficiency of an energy storage device line, conversion efficiency of a power converter, historical maximum electricity load value of a local power consumer, total installed capacity of an intermittent power source, online electricity price of the intermittent power source and maximum output proportion of an operating period; the mathematical model is a mixed integer linear programming model.
Preferably, the independent variables of the mathematical model are: the power supply controller comprises a discharge power, a charge power, a discharge state lock, a charge state lock, a local power supply power of an intermittent power source, a local power supply state lock and a power generation internet state lock which are stored in each time interval; the objective function of the mathematical model is: under the condition of considering the transmission efficiency of the energy storage device line and the conversion efficiency of the power converter, the total profit of the profit generated by charging and discharging of the stored energy and the profit generated by the intermittent power supply for supplying power to the local power consumers and surfing the power generation network is the largest; the constraints of the mathematical model include: constraint of stored energy; local power supply and demand constraints; transformer capacity constraint; local historical maximum power load constraints and intermittent power source constraints. The output of the mathematical model is: the charging and discharging power stored in each time interval and the local power supply power of the intermittent power supply in each time interval.
Preferably, the objective function of the mathematical model is calculated as follows:
in the formula 1, the reaction mixture is,
preferably, the constraint on stored energy is calculated as follows:
in the formula 2, the first step is,
the 1 st equation of the equation 2 is used for calculating the rated power of the stored energy; the 2 nd and 3 rd inequalities of the formula 2 are used for limiting the charging and discharging power values of the stored energy; the 4 th to 6 th equations of the equation 2 are used for limiting the charging and discharging states of the stored energy, that is, the stored energy can only be charged or discharged at one moment; the 7 th inequality of the formula 2 is used for limiting the capacity value of the stored energy;
preferably, the calculation formula of the local electric energy supply and demand constraint is as follows:
0≤Pextra t +Pds t +Pc t ≤P′ t (3)
in formula 3, P' t The unit is a predicted value of the electricity load of the local electricity consumer in the time period t: kW; equation 3 is used to constrain: the electric energy released by stored energy and the electric energy locally supplied by the intermittent power supply can be locally consumed only;
the calculation formula of the transformer capacity constraint is as follows:
-Pc t +P′ t -Pds t -Pextra t ≤TS (4)
in equation 4, TS is the rated capacity value of the transformer connected to the external network, in units: kVA;
the calculation formula of the local historical maximum power load constraint is as follows:
-Pc t +P′ t -PDs t -Pextra t ≤P max (5)
in formula 5, P max The unit is the historical maximum power load value of the local power consumer: kW; the reason for setting this constraint is that the maximum carrying capacity of the local grid cannot be exceeded by supplying power to an area.
Preferably, the redundant electric energy of the intermittent power supply can supply power to surf the internet only under the condition that the local power load is completely satisfied by the local energy storage and the power supply of the intermittent power supply; the constraint of the intermittent source is calculated as follows:
in the formula (6), the first and second polymers,
the 1 st inequality of equation 6 is directly modified from the prediction data (prediction value of intermittent power supply output power). After the predicted values of the output power of the intermittent power supply are obtained, the values are directly judged to be larger than srate & E s The values of (A) all need to be reduced to srate. E s (ii) a The 2 nd equation of equation 6 is used to calculate the power of the intermittent power source for power generation. The 4 th equation of equation 6 is used for constraint: only Pds t -P′ t +Pc t +Pextra t In the case of =0, i.e. the local electrical load is fully satisfied by local energy storage and intermittent power supply, pnet t If the power can be more than 0, an intermittent power supply generates power and surfs the internet;
because the 4 th formula in the formula 6 is nonlinear, the nonlinear formula is linearized; equation 6 becomes:
in the case of the formula 7, the compound,
the output of the model is: 1. charge and discharge power (Pc) stored per period t And Pextra t ) (ii) a 2. Local supply power (Pds) of intermittent power supply at each interval t )。
Preferably, the step 3) refers to "calling a solver to solve": calling a mathematical optimization solver to solve the mathematical model constructed in the step 2), thereby obtaining an output value of the mathematical model, 1, a charging and discharging power value Pc of the stored energy in each period t And Pextra t (ii) a 2. Local power supply power value Pds of intermittent power supply in each time interval t (ii) a The mathematical optimization solver is a solver capable of solving a mixed integer linear programming problem.
Preferably, the step 4) refers to outputting the energy storage operation schedule and the profit result: calculating according to the output value obtained by solving in the step 3): 1. an operating schedule of the stored energy comprising a power value and an electric quantity value in each time interval; 2. total profit values for stored energy and intermittent power sources; the method comprises the steps that profit values brought by energy storage discharging and intermittent power supply local power supply are calculated based on time-of-use electricity prices, and profit values brought by intermittent power supply power generation internet surfing are calculated based on internet electricity prices of the intermittent power supply; specifically, the method comprises the following steps:
first, according to Pc t And Pextra t The power value of the stored energy in each time interval can be directly obtained and is recorded as: p is a radical of formula 1 ，p 2 ，p 3 ，...，p NOP ；
Secondly, calculating the electric quantity value of the stored energy according to the power value of the stored energy; the algorithm is as follows:
Algorithm：
the electric quantity value (ET) of the stored energy in each time interval can be calculated and obtained by the algorithm;
then, calculating the total benefit values of the energy storage and the intermittent power supply; the formula is as follows:
where R is the total value of the energy storage and intermittent power source.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
the method comprises the steps of analyzing an energy storage operation optimization problem in a source charge storage and distribution power grid scene, considering an electric energy transaction scene of time-of-use electricity price and unstable output of an intermittent power source, considering constraint conditions such as transformer capacity and the like, considering an energy storage operation optimization model of local intermittent power source income, and a calculation method of an electric quantity value and an income value, and calculating operation arrangement of energy storage according to the maximum total income of the energy storage and the intermittent power source as an optimization target, so that the overall income (the energy storage and the intermittent power source) in the electric energy transaction is the maximum under the condition that electricity demand of local power consumers is preferentially met by a distributed energy operator.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a diagram of a distributed energy scene in the background art of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings, but the present invention is not limited thereto.
As shown in figure 1, the energy storage operation optimization method considering the local intermittent power source income comprises the steps of 1, obtaining a predicted value of output power of the intermittent power source and a predicted value of power load of a local power consumer on the day, and using predicted data to construct a mathematical model. 2. And constructing a mathematical model of the energy storage operation optimization model. 3. And calling a mathematical optimization solver to solve the mathematical model to obtain an output value of the mathematical model. 4. And calculating according to the output value to obtain the running arrangement of the stored energy and the total benefit value of the stored energy and the intermittent power supply. The implementation flow of the scheme is shown in fig. 2, and the specific steps are as follows:
the method comprises the following steps: obtaining predictive data
And acquiring a predicted value of the output power of the intermittent power source and a predicted value of the electricity load of the local electricity consumer in the day in the distributed energy source operation period. ( Note: the contents of the method for predicting the output power of the intermittent power source and the method for predicting the power load of the local power consumer are not referred in this patent. )
Step two: building energy storage operation optimization model
And (2) acquiring prediction data (data obtained in the first step) and parameters (the parameters comprise time granularity, time-of-use electricity price, multiplying power of stored energy, charging and discharging depth, total capacity, initial SOC value, rated power, rated capacity of a transformer connected with an external network, transmission efficiency of an energy storage device circuit, conversion efficiency of a power converter, historical maximum power load value of a local power consumer, total installed capacity of an intermittent power source, on-line electricity price of the intermittent power source and maximum output proportion.) to construct a mathematical model. The content of the energy storage operation optimization model is as follows: the objective function of the model is:
in the formula 1, the reaction mixture is,
the constraints of the model are:
1. restraint of stored energy
In the formula 2, the first step is,
the 1 st equation of equation 2 is used to calculate the rated power of the stored energy. The inequalities 2 and 3 of the equation 2 are used for limiting the charging and discharging power values of the stored energy. The 4 th to 6 th equations of equation 2 are used to limit the charging and discharging states of the stored energy, i.e. the stored energy can only be charged or discharged at one moment. The 7 th inequality of equation 2 is used to limit the amount of energy stored.
2. Local power supply and demand constraints
0≤Prxtra t +Pds t +Pc t ≤P′ t (3)
In formula 3, P' t The unit is a predicted value of the electricity load of the local electricity consumer in the time period t: kW. Equation 3 is used to constrain: the electric energy released by the stored energy and the electric energy locally supplied by the intermittent power supply can be only locally consumed.
3. Transformer capacity constraint
-Pc t +P′ t -Pds t -Pextra t ≤TS (4)
In equation 4, TS is the rated capacity value of the transformer connected to the external network, in units: kVA.
4. Local historical maximum power load constraints
-Pc t +P′ t -Pds t -Pextra t ≤P max (5)
In formula 5, P max Is the historical maximum electricity load value of the local electricity consumer, unit: kW. The reason for setting this constraint is that the maximum carrying capacity of the local grid cannot be exceeded by supplying power to an area.
5. Restraint of intermittent power source
In this patent, it is set: and the redundant electric energy of the intermittent power supply can supply power to surf the internet only under the condition that the local power load is completely satisfied by the local energy storage and the power supply of the intermittent power supply.
In the formula (6), the first and second polymers,
the 1 st inequality of equation 6 is directly modified from the prediction data (prediction value of intermittent power supply output power). After the predicted values of the output power of the intermittent power supply are obtained, the values are directly judged to be larger than srate & E s The value of (A) needs to be reduced to srate. E s . The 2 nd equation of equation 6 is used to calculate the power of the intermittent power source for power generation and network access. The 4 th equation of equation 6 is used for constraint: only Pds t -P′ t +Pc t +Pextra t In the case of =0 (i.e. the local electrical load is fully satisfied by the local stored energy and the power supplied by the intermittent power source), pnet t May be greater than 0 (intermittent power source to generate power to the internet).
Since the 4 th equation in equation 6 is nonlinear, it is linearized in this patent. Equation 6 becomes:
in the case of the formula 7, the compound,
the output of the model is: 1. charge and discharge Power (PC) stored per period t And Pextra t ) (ii) a 2. Local supply power (Pds) of intermittent power supply at each interval t )。
Step three: solving by calling solver
Calling a mathematical optimization solver to solve the mathematical model constructed in the step two, thereby obtaining the output value (1. The charging and discharging power value (Pc) of the stored energy in each period of time of the mathematical model t And Pextra t ) (ii) a 2. Local power supply value (Pds) of intermittent power supply at each interval t )。
Step four: outputting energy storage operation schedule and revenue results
First, according to Pc t And Pextra t Can be directly obtainedThe power value of the stored energy in each time interval is recorded as: p is a radical of 1 ，p 2 ，p 3 ，...，p NOP 。
And secondly, calculating the electric quantity value of the stored energy according to the power value of the stored energy. The algorithm is as follows:
Algorithm：
the value of the stored Energy (ET) at each time interval can be calculated by the algorithm described above.
The total benefit values of the stored energy and the intermittent power source are then calculated. The formula is as follows:
where R is the total value of the energy storage and intermittent power source.
The method analyzes the energy storage operation optimization problem in the scene of a source charge storage and distribution power grid, considers the electric energy trading scene of time-of-use electricity price and the unstable output of the intermittent power supply, simultaneously considers the constraint conditions such as transformer capacity and the like, and calculates the operation arrangement of energy storage by optimizing the target with the maximum total income of the energy storage and the intermittent power supply. In conclusion, the method takes more factors into consideration.
All references to "energy storage" in the present invention refer to electrochemical energy storage systems, such as: lithium cell energy storage system.
"intermittent power source" means a power source whose power generation condition has intermittency and is difficult to control, for example: aerogenerator, photovoltaic power generation board.
The distributed energy resource refers to an energy comprehensive utilization system distributed at a user side.
The "time-of-use electricity price environment" refers to an electricity purchasing environment in which 24 hours a day are divided into several time periods, and each time period is charged for electricity according to the average marginal cost of system operation.
The energy storage operation optimization means that an optimization method is used for optimizing charging and discharging operations of the energy storage in the operation process so as to achieve the set target.
Claims (10)
1. An energy storage operation optimization method considering local intermittent power source benefits is characterized by comprising the following steps:
1) Obtaining a predicted value of output power of the intermittent power supply and a predicted value of power load of a local power consumer, wherein the predicted data is used for constructing a mathematical model;
2) Constructing a mathematical model about an energy storage operation optimization model;
3) Calling a mathematical optimization solver to solve the mathematical model to obtain an output value of the mathematical model;
4) And calculating to obtain the running schedule of stored energy and the total benefit value of the stored energy and the intermittent power supply according to the output value.
2. The energy storage operation optimization method considering local intermittent power source benefits as claimed in claim 1, wherein said step 1) is "acquiring the day forecast data": acquiring prediction data required for constructing an energy storage operation optimization model in the day to be subjected to energy storage optimization, wherein the required prediction data comprises the following data: and the predicted value of the output power of the intermittent power source of the day and the predicted value of the power load of the local power consumer of the day.
3. The energy storage operation optimization method considering local intermittent power source benefits as claimed in claim 2, wherein said step 2) is "building energy storage operation optimization model": constructing a mathematical model based on parameters and the prediction data obtained from step 1, wherein the parameters are: the method comprises the following steps of (1) time granularity, time-of-use electricity price, energy storage multiplying power, charging and discharging depth, total capacity, initial SOC value, rated power, rated capacity of a transformer connected with an external network, power transmission efficiency of an energy storage device line, conversion efficiency of a power converter, historical maximum electricity load value of a local power consumer, total installed capacity of an intermittent power source, online electricity price of the intermittent power source and maximum output proportion of an operating period; the mathematical model is a mixed integer linear programming model.
4. A method of energy storage operation optimisation with local intermittent power source profitability taken into account as claimed in claim 3 wherein the arguments of the mathematical model are: the power supply system comprises a discharge power, a charge power, a discharge state lock, a charge state lock, a local power supply power of an intermittent power supply, a local power supply state lock and a power generation internet state lock which store energy in each time interval; the objective function of the mathematical model is: under the condition of considering the transmission efficiency of the energy storage device line and the conversion efficiency of the power converter, the total profit of the sum of the profit generated by charging and discharging of the stored energy and the profit generated by the intermittent power source for supplying power to the local power consumer and surfing the power generation network is the largest; the constraints of the mathematical model comprise the constraints of energy storage, the constraints of local electric energy supply and demand, the constraints of transformer capacity, the constraints of local historical maximum power load and the constraints of an intermittent power source; the output of the mathematical model comprises the charge and discharge power stored in each period and the local supply power of the intermittent power supply in each period.
5. An energy storage operation optimization method considering local intermittent power source benefits as claimed in claim 4, characterized in that the objective function of the mathematical model is calculated as follows:
in the formula 1, the reaction mixture is,
time granularity of the Δ t operation period, i.e., the duration of a period; 1 "in 1 hour;
the number of periods of NOP in a day, NOP being equal to the time of day divided by Δ t;
Pextra t the discharge power of the stored energy in the time period t is an independent variable with the unit: kW;
the conversion efficiency of a power converter in the eta energy storage device;
η' the transmission efficiency of the line of energy storage devices;
Pc t with energy stored during time period tCharging power, independent variable, unit: kW;
Pds t the local power supply of the intermittent power supply in the time period t is an independent variable with the unit: kW;
TOUP t electricity price at time period t, unit: yuan/kWh;
Psun t predicted generated power of the intermittent power source at time t, unit: kW;
the internet electricity price of the Cnet intermittent power supply is as follows: yuan/kWh.
6. A method for optimizing operation of an energy storage system in consideration of local intermittent power source benefits as claimed in claim 4, wherein the constraint on energy storage is calculated as follows:
in the formula 2, the first step is,
e capacity of stored energy, unit: kWh;
d' the charging and discharging depth of the stored energy;
c, multiplying power of stored energy;
soc 0 the SOC value of the energy storage at 0 point and time of the day;
the 1 st equation of the equation 2 is used for calculating the rated power of the stored energy; the 2 nd and 3 rd inequalities of the formula 2 are used for limiting the charging and discharging power values of the stored energy; the 4 th to 6 th equations of the equation 2 are used for limiting the charging and discharging states of the stored energy, that is, the stored energy can only be charged or discharged at one moment; the 7 th inequality of the formula 2 is used for limiting the capacity value of the stored energy;
7. the energy storage operation optimization method considering local intermittent power source profit according to claim 4,
the calculation formula of the local electric energy supply and demand constraint is as follows:
0≤Pextra t +Pds t +Pc t ≤P′ t (3)
in formula 3, P' t The unit is the predicted value of the power load of the local power consumer at the time t: kW; equation 3 is used to constrain: the electric energy released by stored energy and the electric energy locally supplied by the intermittent power supply can be locally consumed only;
the calculation formula of the transformer capacity constraint is as follows:
-Pc t +P′ t -Pds t -Pextra t ≤TS (4)
in equation 4, TS is the rated capacity value of the transformer connected to the external network, in units: kVA;
the calculation formula of the local historical maximum power load constraint is as follows:
-Pc t +P′ t -Pds t -Pextra t ≤P max
(5)
in formula 5, P max Is the historical maximum electricity load value of the local electricity consumer, unit: kW; the reason for setting this constraint is that the maximum carrying capacity of the local grid cannot be exceeded by supplying power to an area.
8. The energy storage operation optimization method considering local intermittent power source profit according to claim 4,
the redundant electric energy of the intermittent power supply can supply power to surf the internet only under the condition that the local power load is completely satisfied by the local energy storage and the power supply of the intermittent power supply; the constraint of the intermittent source is calculated as follows:
in the formula (6), the first and second polymers,
in the actual case of srate, the proportion of the maximum output power of the intermittent power source. srate is equal to the actual maximum possible output power of the intermittent power source divided by its total installed capacity;
E s total installed capacity of intermittent power source, unit: kW;
Pnet t the power of the intermittent power source for power generation on the internet at the time t has the unit: kW;
the 1 st inequality of equation 6 is directly modified from the prediction data (prediction value of intermittent power supply output power). After the predicted values of the output power of the intermittent power supply are obtained, the values are directly judged to be larger than srate & E S The values of (A) all need to be reduced to srate. E s (ii) a The 2 nd equation of equation 6 is used to calculate the power of the intermittent power source for power generation and network access. The 4 th equation of equation 6 is used for constraint: only Pds t -P′ t +Pc t +Pextra t In the case of =0, i.e. the local electrical load is fully satisfied by local energy storage and intermittent power supply, pnet t If the power can be larger than 0, an intermittent power supply generates power and surfs the internet;
because the 4 th formula in the formula 6 is nonlinear, the nonlinear formula is linearized; equation 6 becomes:
in the case of the formula 7, the compound,
m1 positive and large real numbers, which are used as the boundaries of the changes of the 3 rd and 4 th inequalities in equation 7;
the charge and discharge power stored in each time interval is Pc t And Pextra t (ii) a The local power supply power of the intermittent power supply in each period is Pds t ；
9. The energy storage operation optimization method considering local intermittent power supply benefits as claimed in claim 4, wherein the step 3) is "calling solver solution": calling a mathematical optimization solver to solve the mathematical model constructed in the step 2), thereby obtaining the output value of the mathematical model and the charging and discharging power value Pc of the stored energy in each time period t And Pextra t (ii) a Local power supply power value Pds of intermittent power supply in each time interval t (ii) a The mathematical optimization solver is a solver capable of solving a mixed integer linear programming problem.
10. The energy storage operation optimization method considering the local intermittent power source benefits as claimed in claim 9, wherein the step 4) refers to outputting the energy storage operation schedule and benefits result: calculating according to the output value obtained by solving in the step 3): an operating schedule for the stored energy comprising a power value and an electric quantity value in each time interval; total profit values for stored energy and intermittent power sources; the method comprises the steps that profit values brought by energy storage discharge and intermittent power supply local power supply are calculated based on time-of-use electricity prices, and profit values brought by intermittent power supply power generation internet surfing are calculated based on internet surfing electricity prices of the intermittent power supply; the method specifically comprises the following steps:
first, according to Pc t And Pextra t The power value of the stored energy in each time interval can be directly obtained and recorded as: p is a radical of 1 ，p 2 ，p 3 ，...，p NOP ；
Secondly, calculating the electric quantity value of the stored energy according to the power value of the stored energy; calculating to obtain an electric quantity value ET of stored energy in each time interval;
then, calculating the total benefit values of the energy storage and the intermittent power supply; the formula is as follows:
where R is the total profit value of the stored energy and intermittent power source.
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| CN116523193B (en) * | 2023-03-08 | 2024-01-26 | 上海电享信息科技有限公司 | Virtual power plant energy storage scheduling method and device, electronic equipment and storage medium |
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