CN117911065A - Method and system for building energy storage power station income model and optimizing operation mode - Google Patents
Method and system for building energy storage power station income model and optimizing operation mode Download PDFInfo
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Abstract
The method and the system for building the energy storage power station profit model and optimizing the operation mode are used for building a frequency modulation market profit model according to the frequency modulation mileage compensation cost and the frequency modulation capacity compensation cost; the method comprises the steps that an objective function of an operation optimization model of the energy storage power station participating in the electric power market is established by utilizing the benefits of the energy storage power station participating in the electric power spot market in a mode of only reporting electric quantity before the operation day and simultaneously reporting electric quantity and electric price and the benefits of the energy storage power station participating in the frequency modulation auxiliary service market while executing a charge-discharge plan in the operation day; establishing constraint conditions of the energy storage power station participating in an electric power market operation optimization model; calculating a discharging power clearing result of the energy storage power station; and in the charge and discharge plans declared by the energy storage power station, the electric quantity of the un-winning electricity is reduced, the energy storage power station makes a charge power reduction plan under the condition of not changing the charge and discharge state, so that the corrected charge and discharge plan meets the operation constraint, and the operation modes of the energy storage power station under different participation modes are determined.
Description
Technical Field
The invention belongs to the field of electric power markets, and particularly relates to a method and a system for building an energy storage power station income model and optimizing an operation mode.
Background
The large amount of intermittent energy power generation, nuclear power generation and clean coal power generation and carbon capture technologies reduce the flexibility of the current power system production operation, and may result in reduced utilization of power generation infrastructure and grid assets.
In the prior art, a virtual power plant and energy storage are taken as independent main bodies to participate in peak shaving, under the condition that the electric power market is continuously perfected and improved, the profit mode of the energy storage is changed, and a method for improving the energy storage frequency modulation peak shaving capability, which is proposed by tightly combining a plurality of energy storage profit modes, is lacking in the prior art, for example, the energy storage power station only declares that the electric quantity is not declared to be completely different from the profit in the electric quantity and electric price simultaneously declared to be in the electric quantity and electric price mode, and the prior art lacks of a regulation and control model which accords with the plurality of profit modes of the energy storage power station, so that the profit situation of the energy storage power station cannot be accurately calculated, and powerful support cannot be provided for the operation mode of the energy storage power station for participating in the electric power market, and the profit of the energy storage power station cannot be maximized.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method and a system for establishing an energy storage power station gain model and optimizing an operation mode, which are used for establishing an operation model for maximizing the gain of the energy storage power station under the conditions of participating in an electric power spot market and a frequency modulation market, and calculating and analyzing the operation modes of the energy storage power station under different participation modes.
The invention adopts the following technical scheme.
The invention provides a method for building an energy storage power station profit model and optimizing an operation mode, which comprises the following steps:
step 1, establishing a frequency modulation market gain model according to frequency modulation mileage compensation cost and frequency modulation capacity compensation cost;
Step 2, establishing an objective function of the energy storage power station participating in an operation optimization model of the electric power market by utilizing the fact that the energy storage power station only declares an electric quantity before the operation day and declares the electric quantity and the electric price mode simultaneously to participate in the profit of the electric power spot market and the energy storage power station performs a charge and discharge plan in the operation day and simultaneously participates in the profit of the frequency modulation auxiliary service market;
Step 3, establishing constraint conditions of the energy storage power station participating in the power market operation optimization model;
step 4, calculating a discharging power clearing result of the energy storage power station by using an objective function and constraint conditions of the energy storage power station participating in the power market operation optimization model;
Step 5, judging that the electricity quantity of the energy storage declaration is winning if the actual node electricity price is larger than the energy storage declaration electricity price at a certain time of operation day; otherwise, the energy storage reporting electric quantity is not winning; in a charge-discharge plan declared by the energy storage power station, the amount of electricity sold without winning is reduced; and then, discharging power clearing results are issued to the energy storage power station, and the energy storage power station makes a charging power reduction plan under the condition of not changing the charging and discharging states, so that the corrected charging and discharging plan meets the operation constraint.
Monthly frequency modulation mileage compensation cost of certain unit iThe following relation is satisfied:
Wherein M is the number of hours in the monthly frequency modulation market of the unit i, C i,m is the frequency modulation mileage quotation of the unit i in the mth hour, and S i,m is the accumulated frequency modulation mileage of the unit i in the mth hour.
When the marked output of the marked unit i in the frequency modulation market in the real-time market of the period t reaches the upper limit or the lower limit of the adjustable output, the frequency modulation capacity of the marked unit i in the period t compensates the costThe following relation is satisfied:
wherein, LMP i,t, Real time is the real-time node electricity price of the node where the time period t unit i is located, In order to mark the output in the real-time market of the period t when the unit i does not participate in the frequency modulation market and does not reserve the frequency modulation capacity, P i,t is the marked output in the real-time market of the period t, C (P i) is an electric energy quotation curve of the unit i, and h is the duration of a single bidding period;
When the marked output of the marked unit i in the frequency modulation market in the real-time market of the period t does not reach the upper limit or the lower limit of the adjustable output, the marked unit i in the frequency modulation market compensates the cost of the frequency modulation capacity of the marked unit i in the period t Zero.
In step 2, the objective function is as follows:
IIS＝IIS,DA+IIS,FR
Wherein, I IS represents the total income of the energy storage power station in the spot market and the frequency modulation auxiliary service market; i IS,DA is the income of the energy storage power station in the spot market; i IS,FR provides benefits obtained by frequency modulation auxiliary service for the energy storage power station.
The benefits of the energy storage power station in the spot market meet the following relation:
In the method, in the process of the invention, Predictive electricity price representing the electric energy market before time t days,Respectively reporting charging and discharging power in a period t, wherein h is the duration of a single bidding period;
the total income of the energy storage power station in the frequency modulation auxiliary service market meets the following relation:
In the method, in the process of the invention, Frequency modulation mileage income for a period t; /(I)Cost compensation is carried out for the frequency modulation opportunity of the period t; t is the total number of time periods.
The mileage income of the time period t frequency modulation satisfies the following relation:
In the method, in the process of the invention, The price is cleared for the frequency modulation mileage of the period t; /(I)Frequency modulation times per time period; /(I)The mileage of each frequency modulation accounts for the proportion of the frequency modulation capacity; /(I)Frequency modulation capacity which is clear in the market for independent energy storage.
The period t frequency modulation opportunity cost compensation satisfies the following relation:
In the method, in the process of the invention, Compensating capacity for opportunity cost of frequency modulation; /(I)The price of the real-time electric energy market is; /(I)Estimating the electricity purchasing cost according to the day before in the embodiment for independently storing the declaration price of the energy in the real-time electric energy market; /(I)For opportunity cost triggering identification, when the sum of the clearing capacity of the independent energy storage in the daily electric energy market and the frequency modulation auxiliary service market reaches the maximum discharge powerThe frequency modulation service occupies the power selling opportunity of energy storage and triggers opportunity cost compensation.
The constraint conditions include: the method comprises the following steps of restraining the state of charge, restraining the charging and discharging power, and enabling an energy storage power station to participate in frequency modulation capacity restraint and enabling the energy storage power station to participate in frequency modulation capacity restraint.
In step 5, the predicted price is determined according to the discharge power clearing resultEnergy storage discharge PowerAnd an energy storage charge-discharge state;
and adjusting the charging power by taking the maximum of the cut power purchase cost as an objective function, wherein the following relation is satisfied:
Wherein maxC IS,adj is the maximum cost of electricity purchase to be reduced; Charging power for reduction;
Regulated charging power The following relation is satisfied:
In the method, in the process of the invention, Discharge power declared for period t.
The invention also provides an energy storage power station income model building and operation mode optimizing system, which comprises the following steps:
The system comprises a profit model module, an operation optimization model module, a clearing module and a charge-discharge plan correction module;
The profit model module is used for establishing a frequency modulation market profit model according to the frequency modulation mileage compensation cost and the frequency modulation capacity compensation cost;
The operation optimization model module is used for establishing an objective function of the operation optimization model of the energy storage power station by utilizing the benefits of the energy storage power station in the electric power spot market, wherein the benefits of the energy storage power station in the electric power spot market are participated by only reporting electric quantity without reporting electricity price mode and simultaneously reporting electric quantity and electricity price mode before the operation day, and the benefits of the energy storage power station in the frequency modulation auxiliary service market are participated in when a charge-discharge plan is executed in the operation day; establishing constraint conditions of the energy storage power station participating in an electric power market operation optimization model;
the discharging and clearing module is used for calculating a discharging power discharging and clearing result of the energy storage power station by utilizing an objective function and constraint conditions of the energy storage power station participating in the power market operation optimization model;
The charge-discharge plan correction module is used for judging the bid of the energy storage declaration electric quantity if the actual node electric price is larger than the energy storage declaration electricity price at a certain time of the operation day; otherwise, the energy storage reporting electric quantity is not winning; in a charge-discharge plan declared by the energy storage power station, the amount of electricity sold without winning is reduced; and then, discharging power clearing results are issued to the energy storage power station, and the energy storage power station makes a charging power reduction plan under the condition of not changing the charging and discharging states, so that the corrected charging and discharging plan meets the operation constraint.
Compared with the prior art, the method has the beneficial effects that the method takes the maximization of the income of the energy storage power station as a guide, and establishes an optimization model of the participation of the energy storage power station in price arbitrage service and frequency modulation service markets. Meanwhile, the invention compares and analyzes the income situation of the energy storage power station in the mode of only reporting electric quantity without reporting electricity price and in the mode of simultaneously reporting electric quantity and electricity price, provides reference for the energy storage power station to participate in the operation of the electric power market, and is beneficial to improving the economical efficiency of the energy storage power station.
Drawings
FIG. 1 is a flow chart of the energy storage power station profit model building and operation mode optimizing method provided by the invention;
FIG. 2 shows the predicted and actual prices of the operating days of a spot market for a certain power saving in an embodiment of the present invention;
fig. 3 is an optimized charge-discharge curve result (charge-discharge efficiency=0.6) of the energy storage power station reporting no quotation participation market in the embodiment of the invention;
fig. 4 is a graph showing the result of an optimized charge-discharge curve of the energy storage station reporting price to participate in the market according to the embodiment of the present invention (charge-discharge efficiency=0.6).
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. The described embodiments of the application are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art without inventive faculty, are within the scope of the application, based on the spirit of the application.
The invention provides a method for building an energy storage power station gain model and optimizing an operation mode, which is shown in fig. 1 and comprises the following steps:
step 1, establishing a frequency modulation market gain model by using frequency modulation mileage compensation cost and frequency modulation capacity compensation cost, wherein,
In an embodiment, based on the published power spot market and the market rule of the frequency modulation auxiliary service in a certain province, the frequency modulation market gain model is determined to include frequency modulation mileage compensation cost and frequency modulation capacity compensation cost, and the specific steps are as follows:
Monthly frequency modulation mileage compensation cost of certain unit i The following relation is satisfied:
Wherein M is the number of hours in the monthly frequency modulation market of the unit i, C i,m is the frequency modulation mileage quotation of the unit i in the mth hour, and S i,m is the accumulated frequency modulation mileage of the unit i in the mth hour.
The frequency modulation capacity of the standard machine set in the frequency modulation market needs to be reserved, and if the income is lost in the spot market, the opportunity cost compensation is carried out on the standard machine set.
When the marked output of the marked unit i in the frequency modulation market in the real-time market of the period t reaches the upper limit or the lower limit of the adjustable output, the frequency modulation capacity of the marked unit i in the period t compensates the costThe following relation is satisfied:
wherein, LMP i,t, Real time is the real-time node electricity price of the node where the time period t unit i is located, In order to mark the output in the real-time market of the period t when the unit i does not participate in the frequency modulation market and does not reserve the frequency modulation capacity, P i,t is the marked output in the real-time market of the period t, C (P i) is an electric energy quotation curve of the unit i, and h is the duration of a single bidding period.
When the marked output of the marked unit i in the frequency modulation market in the real-time market of the period t does not reach the upper limit or the lower limit of the adjustable output, the marked unit i in the frequency modulation market compensates the cost of the frequency modulation capacity of the marked unit i in the period tZero.
Step 2, establishing an objective function of the energy storage power station participating in an electric power market operation optimization model;
Specifically, the energy storage power station only declares the electric quantity before the operation day and declares the electric quantity and the electric price mode simultaneously to participate in the income of the electric power spot market, and synchronously provides the frequency modulation service to participate in the frequency modulation auxiliary service market while executing clear charge-discharge curve in the operation day.
When the energy storage power station participates in the spot market and the frequency modulation auxiliary service market simultaneously, the objective function of energy storage is as follows:
IIS＝IIS,DA+IIS,FR (3)
Wherein, I IS represents the total income of the energy storage power station in the spot market and the frequency modulation auxiliary service market; i IS,DA is the income of the energy storage power station in the spot market; i IS,FR provides benefits obtained by frequency modulation auxiliary service for the energy storage power station.
The income of the energy storage power station in the spot market meets the following relation:
In the method, in the process of the invention, Predictive electricity price representing the electric energy market before time t days,Respectively reporting discharge power and charging power in a period t, wherein h is the duration of a single bidding period;
Equation (4) characterizes revenue of the independent energy storage power station in the electric energy market before date.
The total income of the energy storage power station in the frequency modulation auxiliary service market meets the following relation:
In the method, in the process of the invention, Frequency modulation mileage income for a period t; /(I)Cost compensation is carried out for the frequency modulation opportunity of the period t; t is the total number of time periods.
The mileage income of the time period t frequency modulation satisfies the following relation:
In the method, in the process of the invention, The price is cleared for the frequency modulation mileage of the period t; /(I)For each time period, the frequency modulation frequency is a predicted value, and in the embodiment, the frequency modulation frequency is estimated according to 10 times; /(I)The mileage of each frequency modulation is the proportion of the frequency modulation capacity, which is the expected value, and in the embodiment, the mileage is estimated according to 50%; for independently storing energy, the frequency modulation capacity is cleared in the market, and in the embodiment, the capacity is estimated by reporting;
the period t frequency modulation opportunity cost compensation satisfies the following relation:
In the method, in the process of the invention, Compensating capacity for opportunity cost of frequency modulation; /(I)The price of the real-time electric energy market is; /(I)Estimating the electricity purchasing cost according to the day before in the embodiment for independently storing the declaration price of the energy in the real-time electric energy market; /(I)For opportunity cost triggering identification, when the sum of the clearing capacity of the independent energy storage in the daily electric energy market and the frequency modulation auxiliary service market reaches the maximum discharge powerThe frequency modulation service occupies the energy-storage power selling opportunity and triggers opportunity cost compensation;
In the method, in the process of the invention, The maximum discharge capacity is compensated for the opportunity cost of tuning.
And 3, establishing constraint conditions of the energy storage power station participating in the power market operation optimization model.
The constraint conditions include:
1) State of charge constraints:
In the method, in the process of the invention, Representing the state of charge of the independent energy storage power station; s IS,max is the maximum state of charge of the energy storage power station; η IS,cha、ηIS,dis is the charge and discharge efficiency respectively; Δt is the time interval.
The state of charge of the independent energy storage represented by the formula (10) is determined by the state of charge at the last moment and the charging and discharging conditions at the last moment.
2) And (3) charging and discharging power constraint:
In the method, in the process of the invention, Respectively representing charge and discharge identifiers, wherein the charge and discharge identifiers are 0-1 variable, and the corresponding states are effective when 1 is set; /(I)And the maximum charge power and the maximum discharge power allowed by the energy storage equipment are respectively.
The charge and discharge power of the stored energy represented by the formula (11) and the formula (12) does not exceed the upper allowable limit of the equipment; formulas (3-18) (13) represent maximum discharge capacity at which the stored discharge power does not exceed the current state of charge; formulas (3-19) (14) represent that the stored charge power does not exceed the allowable upper limit of the remaining state of charge; formulas (3-20) (15) and (16) indicate that the stored energy cannot be simultaneously in a charged and discharged state.
3) The energy storage power station participates in frequency modulation capacity constraint:
In the method, in the process of the invention, And the frequency modulation capacity declared by the energy storage power station is represented. In order to ensure the frequency modulation capability of the energy storage power station, the sum of the charging power, the discharging power and the frequency modulation capacity cannot be larger than the maximum charging power and the discharging power.
4) The energy storage power station participates in frequency modulation capacity constraint:
where M is set to an infinite constant. Equations (3-19) (20) (3-31) represent that when the sum of the clearing capacities of the independent energy storage in the day-ahead electric energy market and the frequency modulation auxiliary service market reaches its maximum discharge power, the compensation capacity is estimated by the frequency modulation capacity.
On the other hand, it is necessary to determine whether the amount of electricity submitted by the independent energy storage is cleared in the spot market. When the declaration price is lower than the actual day-ahead electricity price, judging that the energy storage declaration electric quantity is winning a bid; otherwise, it is determined that the reported electric quantity is not winning. In this mode, the deviation of the predicted day-ahead price from the actual day-ahead price makes the expected and actual revenue for the independent energy storage power station worse.
And 4, calculating the clearing result of the energy storage power station by using the objective function and the constraint condition of the energy storage power station participating in the power market operation optimization model.
Step 5, judging that the electricity quantity of the energy storage declaration is winning if the actual node electricity price is larger than the energy storage declaration electricity price at a certain time of operation day; otherwise, the energy storage reporting electric quantity is not winning. In the charge-discharge plan declared by the energy storage power station, the amount of electricity sold in the un-winning state is reduced. And then, discharging power clearing results are issued to the energy storage power station, and the energy storage power station makes a charging power reduction plan under the condition of not changing the charging and discharging states, so that the corrected charging and discharging plan meets the operation constraint.
This procedure is a linear programming problem, with the objective function being the maximum cost of electricity purchased that is curtailed:
Wherein maxC IS,adj is the maximum cost of electricity purchase to be reduced; representing the adjusted charging power; in the cut-down link, the predicted price/> Energy storage discharge PowerEnergy storage charge-discharge stateIt has been determined from the result of the skimming that the above-mentioned physical quantity is constant. Reduced charging PowerTo optimize the variables. Substituting the cleared electricity selling power and the charge and discharge marker in the declaration plan into the optimization problem to obtain the charging power for settlement.
In this embodiment, market clear price data of a certain two consecutive days in the running period of a spot market in a certain province is adopted as known information (i.e. predicted price) and running sunrise clear result information (i.e. actual price) of a future reference declaration of the energy storage power station, and the price situation is shown in fig. 2. Specific parameters of the energy storage power station are set as follows. The energy storage capacity is 400MWh, the maximum charging power and the maximum discharging power are 100MW, and the initial charge state is set to be 0. The frequency modulation mileage is estimated by two parameters: the frequency modulation frequency is estimated according to 10 times in each period, and the mileage of each frequency modulation is estimated according to 50 percent of the frequency modulation capacity ratio. The existing research shows that the capacity of quickly adjusting the output of the energy storage is obviously better than that of a thermal power generating unit, so that the energy storage declaration capacity is processed according to priority in the frequency modulation market. In order to connect with the current mechanism, three situations of 10%, 30% and 50% of the upper limit of the frequency modulation capacity of the energy storage declaration are set.
In the measuring and calculating scene, the independent energy storage only declares the whole-day time-sharing electricity purchasing quantity curve, and the electricity purchasing quantity curve is cleared in the market. The invention develops operation income measurement and calculation of the energy storage power station from three aspects, comprising an optimal declaration curve of the energy storage power station in the spot market, and analyzing the influence of charge and discharge efficiency on the participation of the energy storage power station in market competition; measuring and calculating the profit composition condition of the energy storage power station; and setting different upper limits of energy storage frequency modulation capacity, measuring and calculating energy storage benefits under different upper limits, and providing reference for connecting an existing mechanism.
First, an optimal declaration strategy of an independent energy storage power station in the spot market is analyzed. According to the price curve shown in fig. 2, the valley price occupies the lowest peak price ratio (460 yuan/693 yuan) of 0.66, which is larger than the charge and discharge efficiency of the energy storage power station, so that the power station is difficult to obtain in the spot market. In the case of a frequency modulation capacity limit of 30%, the optimal declared electric quantity curve of the energy storage power station (with the charge-discharge efficiency of 0.6) is shown in fig. 3. In the optimal reporting curve, the energy storage power station only purchases electricity once at the initial moment and sells electricity once at the final moment, so that the self charge state meets the requirement of participating in the frequency modulation market.
Next, the charge and discharge curves of the independent energy storage and reporting of the electric quantity and the electricity price mode are shown in fig. 4 (for example, the upper limit of the frequency modulation capacity is 30%). In the early morning to the late afternoon, the expected valley price accounts for 0.66 of the peak price ratio example, and the energy storage power station starts the charging and discharging activities. In the afternoon and night period, the valley price is 0.73 at the lowest peak price ratio, the energy storage power station does not participate in purchasing electricity in the spot market, and the state of charge is maintained only by using the residual electric quantity, so that the requirement of participating in the frequency modulation market is met.
Taking 60% of charge and discharge efficiency of the energy storage power station as an example, table 1 shows the single-day income situation that energy storage report is not quoted to participate in the market under different frequency modulation capacity ratios. According to the measuring and calculating result, the efficiency of the energy storage power station and the allowable declared frequency modulation capacity determine the benefits of the energy storage power station in the market, and the higher the charging and discharging efficiency is, the higher the allowable declared frequency modulation capacity is, and the larger the profit space of the energy storage power station is.
TABLE 1 Single day income condition of energy storage power station (amortization not quotation)
The single day revenue situation of the individual energy storage power station reporting offers participating in the spot market and the frequency modulated market at different frequency modulated capacity ratios is shown in table 2. After an offer is opened, the independent energy storage can increase the income expectation through independently declaring the price, but after the condition of preferential clearing is lost, the expectation is difficult to fully realize, and the income is related to the price forecasting capacity. The non-quotation mode is more beneficial to realizing stable and predictable benefits of the independent energy storage power station; in the quotation mode, the independent energy storage power station needs to rely on own market perception capability to be profitable.
Table 2 energy storage Power station daily gain conditions (amount quotation)
The invention also provides an energy storage power station income model building and operation mode optimizing system, which comprises the following steps:
The system comprises a profit model module, an operation optimization model module, a clearing module and a charge-discharge plan correction module;
The profit model module is used for establishing a frequency modulation market profit model according to the frequency modulation mileage compensation cost and the frequency modulation capacity compensation cost;
The operation optimization model module is used for establishing an objective function of the operation optimization model of the energy storage power station by utilizing the benefits of the energy storage power station in the electric power spot market, wherein the benefits of the energy storage power station in the electric power spot market are participated by only reporting electric quantity without reporting electricity price mode and simultaneously reporting electric quantity and electricity price mode before the operation day, and the benefits of the energy storage power station in the frequency modulation auxiliary service market are participated in when a charge-discharge plan is executed in the operation day; establishing constraint conditions of the energy storage power station participating in an electric power market operation optimization model;
the discharging and clearing module is used for calculating a discharging power discharging and clearing result of the energy storage power station by utilizing an objective function and constraint conditions of the energy storage power station participating in the power market operation optimization model;
The charge-discharge plan correction module is used for judging the bid of the energy storage declaration electric quantity if the actual node electric price is larger than the energy storage declaration electricity price at a certain time of the operation day; otherwise, the energy storage reporting electric quantity is not winning; in a charge-discharge plan declared by the energy storage power station, the amount of electricity sold without winning is reduced; and then, discharging power clearing results are issued to the energy storage power station, and the energy storage power station makes a charging power reduction plan under the condition of not changing the charging and discharging states, so that the corrected charging and discharging plan meets the operation constraint.
The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as SMALLTALK, C ++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. The method for building the energy storage power station profit model and optimizing the operation mode is characterized by comprising the following steps of:
step 1, establishing a frequency modulation market gain model according to frequency modulation mileage compensation cost and frequency modulation capacity compensation cost;
Step 2, establishing an objective function of the energy storage power station participating in an operation optimization model of the electric power market by utilizing the fact that the energy storage power station only declares an electric quantity before the operation day and declares the electric quantity and the electric price mode simultaneously to participate in the profit of the electric power spot market and the energy storage power station performs a charge and discharge plan in the operation day and simultaneously participates in the profit of the frequency modulation auxiliary service market;
Step 3, establishing constraint conditions of the energy storage power station participating in the power market operation optimization model;
step 4, calculating a discharging power clearing result of the energy storage power station by using an objective function and constraint conditions of the energy storage power station participating in the power market operation optimization model;
Step 5, judging that the electricity quantity of the energy storage declaration is winning if the actual node electricity price is larger than the energy storage declaration electricity price at a certain time of operation day; otherwise, the energy storage reporting electric quantity is not winning; in a charge-discharge plan declared by the energy storage power station, the amount of electricity sold without winning is reduced; and then, discharging power clearing results are issued to the energy storage power station, and the energy storage power station makes a charging power reduction plan under the condition of not changing the charging and discharging states, so that the corrected charging and discharging plan meets the operation constraint.
2. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 1, wherein,
Monthly frequency modulation mileage compensation cost of certain unit iThe following relation is satisfied:
Wherein M is the number of hours in the monthly frequency modulation market of the unit i, C i,m is the frequency modulation mileage quotation of the unit i in the mth hour, and S i,m is the accumulated frequency modulation mileage of the unit i in the mth hour.
3. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 1, wherein,
When the marked output of the marked unit i in the frequency modulation market in the real-time market of the period t reaches the upper limit or the lower limit of the adjustable output, the frequency modulation capacity of the marked unit i in the period t compensates the costThe following relation is satisfied:
wherein, LMP i,t, Real time is the real-time node electricity price of the node where the time period t unit i is located, In order to mark the output in the real-time market of the period t when the unit i does not participate in the frequency modulation market and does not reserve the frequency modulation capacity, P i,t is the marked output in the real-time market of the period t, C (P i) is an electric energy quotation curve of the unit i, and h is the duration of a single bidding period;
When the marked output of the marked unit i in the frequency modulation market in the real-time market of the period t does not reach the upper limit or the lower limit of the adjustable output, the marked unit i in the frequency modulation market compensates the cost of the frequency modulation capacity of the marked unit i in the period t Zero.
4. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 1, wherein,
In step 2, the objective function is as follows:
IIS＝IIS,DA+IIS,FR
Wherein, I IS represents the total income of the energy storage power station in the spot market and the frequency modulation auxiliary service market; i IS,DA is the income of the energy storage power station in the spot market; i IS,FR provides benefits obtained by frequency modulation auxiliary service for the energy storage power station.
5. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 4,
The benefits of the energy storage power station in the spot market meet the following relation:
In the method, in the process of the invention, Predictive electricity price representing the electric energy market before time t days,Respectively reporting charging and discharging power in a period t, wherein h is the duration of a single bidding period;
the total income of the energy storage power station in the frequency modulation auxiliary service market meets the following relation:
In the method, in the process of the invention, Frequency modulation mileage income for a period t; /(I)Cost compensation is carried out for the frequency modulation opportunity of the period t; t is the total number of time periods.
6. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 5,
The mileage income of the time period t frequency modulation satisfies the following relation:
In the method, in the process of the invention, The price is cleared for the frequency modulation mileage of the period t; /(I)Frequency modulation times per time period; /(I)The mileage of each frequency modulation accounts for the proportion of the frequency modulation capacity; p t IS,FR is the frequency modulation capacity of independent energy storage in the market.
7. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 5,
The period t frequency modulation opportunity cost compensation satisfies the following relation:
In the method, in the process of the invention, Compensating capacity for opportunity cost of frequency modulation; /(I)The price of the real-time electric energy market is; /(I)Estimating the electricity purchasing cost according to the day before in the embodiment for independently storing the declaration price of the energy in the real-time electric energy market; /(I)For opportunity cost triggering identification, when the sum of the clearing capacity of the independent energy storage in the daily electric energy market and the frequency modulation auxiliary service market reaches the maximum discharge powerThe frequency modulation service occupies the power selling opportunity of energy storage and triggers opportunity cost compensation.
8. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 5,
The constraint conditions include: the method comprises the following steps of restraining the state of charge, restraining the charging and discharging power, and enabling an energy storage power station to participate in frequency modulation capacity restraint and enabling the energy storage power station to participate in frequency modulation capacity restraint.
9. The method for building the gain model and optimizing the operation mode of the energy storage power station according to claim 8,
In step 5, the predicted price is determined according to the discharge power clearing resultEnergy storage discharge PowerAnd an energy storage charge-discharge state;
and adjusting the charging power by taking the maximum of the cut power purchase cost as an objective function, wherein the following relation is satisfied:
Wherein maxC IS,adj is the maximum cost of electricity purchase to be reduced; Charging power for reduction;
Regulated charging power The following relation is satisfied:
In the method, in the process of the invention, Discharge power declared for period t.
10. The utility model relates to an energy storage power station income model builds and operation mode optimizing system which is characterized in that the system comprises:
The system comprises a profit model module, an operation optimization model module, a clearing module and a charge-discharge plan correction module;
The profit model module is used for establishing a frequency modulation market profit model according to the frequency modulation mileage compensation cost and the frequency modulation capacity compensation cost;
The operation optimization model module is used for establishing an objective function of the operation optimization model of the energy storage power station by utilizing the benefits of the energy storage power station in the electric power spot market, wherein the benefits of the energy storage power station in the electric power spot market are participated by only reporting electric quantity without reporting electricity price mode and simultaneously reporting electric quantity and electricity price mode before the operation day, and the benefits of the energy storage power station in the frequency modulation auxiliary service market are participated in when a charge-discharge plan is executed in the operation day; establishing constraint conditions of the energy storage power station participating in an electric power market operation optimization model;
the discharging and clearing module is used for calculating a discharging power discharging and clearing result of the energy storage power station by utilizing an objective function and constraint conditions of the energy storage power station participating in the power market operation optimization model;
The charge-discharge plan correction module is used for judging the bid of the energy storage declaration electric quantity if the actual node electric price is larger than the energy storage declaration electricity price at a certain time of the operation day; otherwise, the energy storage reporting electric quantity is not winning; in a charge-discharge plan declared by the energy storage power station, the amount of electricity sold without winning is reduced; and then, discharging power clearing results are issued to the energy storage power station, and the energy storage power station makes a charging power reduction plan under the condition of not changing the charging and discharging states, so that the corrected charging and discharging plan meets the operation constraint.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118539418A (en) * | 2024-05-14 | 2024-08-23 | 中能智新科技产业发展有限公司 | Method, device and equipment for determining power parameters of power system |
| CN121032725A (en) * | 2025-10-29 | 2025-11-28 | 国网上海市电力公司 | Operation optimization method for long-term hydrogen energy storage to participate in joint transactions of multiple types of electricity markets |
| WO2026000909A1 (en) * | 2024-06-28 | 2026-01-02 | 广东电网有限责任公司 | Energy storage system scheduling method and apparatus, electronic device, and storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118539418A (en) * | 2024-05-14 | 2024-08-23 | 中能智新科技产业发展有限公司 | Method, device and equipment for determining power parameters of power system |
| WO2026000909A1 (en) * | 2024-06-28 | 2026-01-02 | 广东电网有限责任公司 | Energy storage system scheduling method and apparatus, electronic device, and storage medium |
| CN121032725A (en) * | 2025-10-29 | 2025-11-28 | 国网上海市电力公司 | Operation optimization method for long-term hydrogen energy storage to participate in joint transactions of multiple types of electricity markets |
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