CN110994639A - Simulation constant volume method, device and equipment for power plant energy storage auxiliary frequency modulation - Google Patents
Simulation constant volume method, device and equipment for power plant energy storage auxiliary frequency modulation Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
Abstract
The invention discloses a simulation constant volume method, a simulation constant volume device and a simulation constant volume device for power plant energy storage auxiliary frequency modulation, wherein the method comprises the following steps: acquiring basic parameters of a target power plant; establishing a power plant simulation model according to basic parameters of a target power plant; determining a charging and discharging strategy of the energy storage battery by combining the parameters of the energy storage battery; establishing an energy storage system model according to the parameters of the energy storage battery, and calculating by combining a power plant simulation model and the energy storage system model to obtain an AGC (automatic gain control) regulation performance index of joint frequency modulation; establishing an energy storage cost and profit model according to basic parameters of a target power plant and AGC (automatic gain control) regulation performance indexes, and determining a profit objective function; and calculating net profit by using the profit objective function to obtain the energy storage power and the energy storage capacity when the maximum net profit is obtained as the optimal energy storage model selection capacity. The method can reasonably select the optimized energy storage capacity by integrating various power plant parameters, thereby ensuring the optimal project benefit under the condition of ensuring the safe and stable operation of the energy storage system and the regional power grid.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a simulation constant volume method, a simulation constant volume device and simulation constant volume equipment for energy storage auxiliary frequency modulation of a power plant.
Background
In the operation of a power system, the problem of random active imbalance in a regional power grid in a short time (second or minute level) is solved, namely the control of the power grid frequency and the power of a tie line is mainly realized through Automatic Generation Control (AGC). The method has the advantages of high requirements on the performance of the frequency modulation power supply, such as high regulation speed, high regulation precision, frequent switching of the power regulation direction and the like.
The AGC frequency modulation function of the power grid is mainly provided by conventional power supplies including hydroelectric power units, gas generating units and thermal power units. Since these power systems all have a responsive inertia, converting primary energy into electrical energy goes through a series of complex processes. Particularly, compared with the expected AGC performance of a power grid, the AGC performance of a thermal power generating unit has a larger gap and is represented by the current situations of regulation delay, deviation (overshoot and undershoot) and the like.
For an energy storage system, within a rated power range, the output of specified power can be completed within 1 second and with the precision of more than 99 percent, and the comprehensive response capability of the energy storage system is particularly suitable for the power conversion requirement within an AGC frequency modulation time scale. According to the research report, the following results are shown: on average, the frequency modulation effect of the energy storage system is 1.4 times that of a hydroelectric generating set, 2.3 times that of a natural gas generating set and more than 20 times that of a coal-fired generating set.
The energy storage auxiliary frequency modulation principle is that the characteristics of quick and accurate response of a battery energy storage system are utilized to assist a generator set to carry out load adjustment in an AGC mode, and therefore the adjusting performance of the generator set is improved.
In the project of energy storage combined frequency modulation, the method for commonly configuring the capacity of the energy storage system is mainly based on the frequency modulation characteristic of a power grid. Because 80% of the frequency modulation instructions are about 3% of the full capacity of the unit, 3% of the unit capacity is selected as energy storage power, and the energy storage system can respond to about 80% of the power grid AGC instructions.
At present, domestic energy storage auxiliary frequency modulation projects are all based on a coal-fired unit, and the existing energy storage constant volume method is also based on the operating characteristics of the coal-fired unit. However, 3% of the unit capacity is selected as the energy storage power, for the power plants with the same capacity, the selected energy storage power is the same, the differences of the power plant types, the unit performance and the regional power grid frequency modulation characteristic are not considered, the charging and discharging strategies of the energy storage battery are not considered, and the frequency modulation auxiliary service rule of the region where the project is located is specified. Therefore, the reliability of the selection of the energy storage capacity is low in the prior art due to the following problems:
firstly, for different types of power plants, such as coal-fired power plants, gas-fired power plants and the like, the difference of the frequency modulation performance of the units is large due to different operating characteristics of the units, so that the optimal energy storage capacity of the auxiliary frequency modulation is different.
Secondly, as the common access scheme of the energy storage auxiliary combined frequency modulation is mainly an external service bus access scheme, namely, the energy storage frequency modulation device is connected to a service working section of a unit of the power plant by a power cable and is accessed to a service system, if only 3% of the unit capacity is taken as energy storage power, for the gas turbine power plant, the service power rate is generally lower than 3%, the high-plant transformer substation and transmission electrician condition may occur in the operation process of the energy storage system, and the operation safety of the system is influenced.
Furthermore, in order to make the energy storage life longer and the attenuation smaller, the lowest SOC value (battery state of charge) is often set in the actual energy storage charging and discharging strategy, and different battery manufacturers have different charging and discharging strategies for the battery.
In addition, because the frequency modulation auxiliary service rules in different regions are different, the calculation mode of the frequency modulation auxiliary service profit is different. And the optimal energy storage capacity is selected, and if the optimal energy storage capacity is not combined with the frequency modulation auxiliary service detail, the frequency modulation profit is calculated, so that the net profit of the project is difficult to be maximized.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a simulation constant volume method, device and equipment for energy storage auxiliary frequency modulation of a power plant, which can comprehensively consider the type of the power plant, the characteristics of a unit, the frequency modulation characteristics of a regional power grid, the safe operation parameters of a battery, the response characteristic requirements of the power plant on joint frequency modulation and the detailed regulations of the frequency modulation auxiliary service of the region where a project is located, and reasonably select the optimized energy storage capacity, so that the project benefit is optimal under the condition of ensuring the safe and stable operation of an energy storage system and the regional power grid.
In order to solve the technical problem, an embodiment of the present invention provides a simulation constant volume method for power plant energy storage auxiliary frequency modulation, including:
acquiring basic parameters of a target power plant; the basic parameters comprise characteristic parameters of a power plant, actual operation data of the power plant, historical AGC instruction data, parameters of an energy storage battery and the regulation of a target regional frequency modulation auxiliary service rule;
establishing a power plant simulation model based on the target region frequency modulation auxiliary service rule specification according to the actual operation data of the power plant and the historical AGC instruction data;
determining a charging and discharging strategy of the energy storage battery by combining the characteristic parameters of the power plant, the parameters of the energy storage battery and preset battery operation constraint conditions;
establishing an energy storage system model according to the energy storage battery parameters, and adding the energy storage system model to calculate on the basis of the power plant simulation model to obtain an AGC (automatic gain control) regulation performance index of joint frequency modulation;
under the constraint of the energy storage battery charging and discharging strategy, establishing an energy storage cost and income model according to the basic parameters of the target power plant and the AGC regulation performance index, and determining an income target function according to the energy storage cost and income model;
and calculating net profits of different energy storage powers and energy storage capacities by using the income objective function so as to obtain the energy storage power and the energy storage capacity when the maximum net profits are taken as the optimal energy storage model selection capacity.
Further, under the constraint of the energy storage battery charging and discharging strategy, establishing an energy storage cost and profit model according to the basic parameters of the target power plant and the AGC regulation performance index, and determining a profit objective function according to the energy storage cost and profit model, specifically:
under the constraint of the energy storage battery charging and discharging strategy, establishing an energy storage construction cost model and an energy storage operation and maintenance cost model according to the energy storage battery parameters;
establishing a frequency modulation profit model according to the target region frequency modulation auxiliary service rule specification and the AGC regulation performance index;
and determining a profit objective function by combining the energy storage construction cost model, the energy storage operation and maintenance cost model and the frequency modulation profit model.
Further, the energy storage battery charging and discharging strategy comprises one or more of a battery operation permission setting strategy, a battery charging and discharging mode setting strategy, a battery charging and discharging power setting strategy, a battery output power change limiting strategy and a battery rated power limiting strategy.
Further, the battery operation permission setting policy is calculated under the constraint of preset battery manufacturer requirement data; the battery charging and discharging mode setting strategy is calculated under the constraint of the characteristic parameters of the power plant and preset power plant requirement data; the battery charge-discharge power setting strategy is calculated under the constraint of the actual operation data of the power plant and the historical AGC instruction data; the battery output power change limiting strategy is calculated under the constraint specified by the target region frequency modulation auxiliary service rule; the battery rated power limiting strategy is calculated under the constraint of the energy storage battery parameters.
In order to solve the same technical problem, the invention also provides a simulation constant volume device for the energy storage auxiliary frequency modulation of the power plant, which comprises the following components:
the parameter acquisition module is used for acquiring basic parameters of a target power plant; the basic parameters comprise characteristic parameters of a power plant, actual operation data of the power plant, historical AGC instruction data, parameters of an energy storage battery and the regulation of a target regional frequency modulation auxiliary service rule;
the power plant simulation model establishing module is used for establishing a power plant simulation model according to the actual operation data of the power plant and the historical AGC instruction data based on the target region frequency modulation auxiliary service rule specification;
the battery charging and discharging strategy determining module is used for determining a charging and discharging strategy of the energy storage battery by combining the characteristic parameters of the power plant, the parameters of the energy storage battery and preset battery operation constraint conditions;
the adjusting performance index calculating module is used for establishing an energy storage system model according to the energy storage battery parameters, and adding the energy storage system model to calculate on the basis of the power plant simulation model to obtain an AGC adjusting performance index of joint frequency modulation;
the profit objective function determining module is used for establishing an energy storage cost and profit model according to the basic parameters of the target power plant and the AGC regulation performance index under the constraint of the energy storage battery charging and discharging strategy, and determining a profit objective function according to the energy storage cost and profit model;
and the optimal energy storage type selection constant volume module is used for calculating net profits of different energy storage powers and energy storage capacities by using the income objective function so as to obtain the energy storage power and the energy storage capacity when the net profits are the maximum as the optimal energy storage type selection capacity.
Further, the revenue objective function determination module includes:
the cost model establishing unit is used for establishing an energy storage construction cost model and an energy storage operation and maintenance cost model according to the energy storage battery parameters under the constraint of the energy storage battery charging and discharging strategy;
the profit model establishing unit is used for establishing a frequency modulation profit model according to the target region frequency modulation auxiliary service rule specification and the AGC regulation performance index;
and the profit objective function determining unit is used for determining a profit objective function by combining the energy storage construction cost model, the energy storage operation and maintenance cost model and the frequency modulation profit model.
Further, the energy storage battery charging and discharging strategy comprises one or more of a battery operation permission setting strategy, a battery charging and discharging mode setting strategy, a battery charging and discharging power setting strategy, a battery output power change limiting strategy and a battery rated power limiting strategy.
Further, the battery operation permission setting policy is calculated under the constraint of preset battery manufacturer requirement data; the battery charging and discharging mode setting strategy is calculated under the constraint of the characteristic parameters of the power plant and preset power plant requirement data; the battery charge-discharge power setting strategy is calculated under the constraint of the actual operation data of the power plant and the historical AGC instruction data; the battery output power change limiting strategy is calculated under the constraint specified by the target region frequency modulation auxiliary service rule; the battery rated power limiting strategy is calculated under the constraint of the energy storage battery parameters.
In order to solve the same technical problem, the invention further provides a simulation constant volume device for a power plant energy storage auxiliary frequency modulation, which includes a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the computer program, any one of the simulation constant volume methods for the power plant energy storage auxiliary frequency modulation is implemented.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a simulation constant volume method, a simulation constant volume device and a simulation constant volume device for energy storage auxiliary frequency modulation of a power plant, which comprehensively consider the type of the power plant, the characteristics of a unit, the frequency modulation characteristics of a regional power grid, safe operation parameters of a battery, the response characteristic requirements of the power plant to combined frequency modulation and the detailed rules of auxiliary frequency modulation service of the region where a project is located, and reasonably select the optimized energy storage capacity, thereby achieving the goal of optimal project benefit under the condition of ensuring safe and stable operation of an energy storage system and the regional power grid.
Drawings
Fig. 1 is a schematic flow chart of a simulation constant volume method for power plant energy storage auxiliary frequency modulation according to an embodiment of the present invention;
fig. 2 is another schematic flow chart of a simulation constant volume method for power plant energy storage auxiliary frequency modulation according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating an algorithm flow of a charging and discharging strategy of an energy storage battery according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of another algorithm of the energy storage battery charging/discharging strategy according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an embodiment of the present invention provides a simulation constant volume method for power plant energy storage auxiliary frequency modulation, including:
s1, obtaining basic parameters of the target power plant; the basic parameters comprise characteristic parameters of the power plant, actual operation data of the power plant, historical AGC instruction data, parameters of an energy storage battery and regulations of a target regional frequency modulation auxiliary service rule.
In the embodiment of the present invention, in step S1, the data collection mainly includes related data such as characteristic parameters of the power plant, actual operation data of the power plant, AGC instruction data, parameters of the energy storage battery, and regulations of the regional fm auxiliary service rule where the project is located (regulations of the target regional fm auxiliary service rule).
Wherein: the characteristic parameters of the power plant comprise the rated capacity Z of the unit, the energy storage auxiliary frequency modulation requirement of the power plant and the like. The actual operation data of the power plant refers to the historical operation data of winning the bid in the unit. The AGC instruction data refers to historical AGC instruction data sent by the power grid scheduling system. The energy storage battery parameter comprises rated power PbRated capacity EbCharging and chargingThe method mainly comprises an AGC regulation performance index calculation method, a frequency modulation benefit calculation method, a power generation unit regulation rate limit and the like.
And S2, establishing a power plant simulation model based on the target region frequency modulation auxiliary service rule according to the actual operation data of the power plant and the historical AGC instruction data.
In the embodiment of the present invention, step S2 is to determine, through simulation calculation, an existing unit model (power plant simulation model) of the power plant based on the detailed rule of the frequency modulation auxiliary service in the region where the project is located, according to the unit bid historical operation data and the historical AGC instruction data.
And S3, determining the energy storage battery charging and discharging strategy by combining the characteristic parameters of the power plant, the parameters of the energy storage battery and the preset battery operation constraint conditions.
In the embodiment of the present invention, further, the energy storage battery charging and discharging strategy includes one or more of a battery operation permission setting strategy, a battery charging and discharging mode setting strategy, a battery charging and discharging power setting strategy, a battery output power variation limiting strategy, and a battery rated power limiting strategy. Further, the battery operation permission setting policy is calculated under the constraint of preset battery manufacturer requirement data; the battery charging and discharging mode setting strategy is calculated under the constraint of the characteristic parameters of the power plant and preset power plant requirement data; the battery charge-discharge power setting strategy is calculated under the constraint of the actual operation data of the power plant and the historical AGC instruction data; the battery output power change limiting strategy is calculated under the constraint specified by the target region frequency modulation auxiliary service rule; the battery rated power limiting strategy is calculated under the constraint of the energy storage battery parameters.
Specifically, referring to fig. 3-4, the calculation of the charging and discharging strategy of the energy storage battery mainly includes the following five parts:
1. the operation of the battery allows setting the policy:
the operation permission setting of the battery is mainly based on electricityRequired by the pool manufacturer, following X1、X11、X2、X21Are all data provided by the battery manufacturer. Wherein: x1Representing the lowest cell capacity permitted to be charged or discharged, e.g. X1＝20％；X2Representing the maximum cell capacity allowed to be charged or discharged, e.g. X2＝80％；X11Representative cell capacity less than X1Thereafter, only charging without discharging, and resuming normal charging and discharging of the required battery capacity, e.g. X11＝30％；X22Representing a cell capacity higher than X2Thereafter, discharging is performed only without charging, and the required battery capacity for normal charging and discharging, e.g. X, is restored2270 percent. SOC is the battery state of charge.
The operation permission setting policy of the battery is as follows:
(1) when X is present1≤SOC≤X2The battery allows normal charge and discharge operations;
(2) when SOC is less than X1Allowing only charging operation when SOC is restored to X11Then, allowing normal charging and discharging operations;
(3) when SOC > X2Only the discharging operation is allowed when the SOC is restored to X21Thereafter, normal charge and discharge operations are allowed to proceed.
2. The charging and discharging mode setting strategy of the battery is as follows:
the charging and discharging mode of the battery is set according to the requirements of a power plant, and the following Y1、Y2、T1、T2Are all data provided by the power plant. Wherein: y is1Representing when the AGC command deviates from the actual load of the unit by a certain proportion of the unit capacity, the battery immediately compensates for the deviation, e.g. Y, under conditions where the battery is allowed to operate1＝1％； Y2Representing no compensation operation when the deviation of the AGC command from the actual load of the unit is less than a certain proportion of the capacity of the unit, e.g. Y20.5%; when the deviation between the AGC command and the actual load of the unit is between Y1And Y2If the slave deviation is larger than Y1Enters the region, T is continuously adjusted1After a period of time, stopping regulation, e.g. T110 s; if the deviation is less than Y2Enters the region, then T lasts2After a period of time, the adjustment is started, e.g. T2＝10s。
At time i, P2,iFor AGC commands, P1,iThe actual output of the unit. The battery charging and discharging mode setting strategy is as follows:
(1) when | P2,i-P1,i|≥Z×Y1When the battery allows operation, the battery immediately compensates the deviation value;
(2) when Z is multiplied by Y2≤|P2,i-P1,i|＜Z×Y1The method comprises the following steps:
1) if P2,i-1-P1,i-1|≥|P2,i-P1,iIf the battery continuously adjusts the duration T1Then stopping adjusting;
2) if P2,i-1-P1,i-1|＜|P2,i-P1,iIf, then duration T2Then, the battery starts to adjust;
(3) when | P2,i-P1,i|＜Z×Y2When the battery is not performing the compensation operation.
3. The charge and discharge power setting strategy of the battery is as follows:
when compensation operation is carried out, the battery sets the output power of the battery according to the deviation between the output of the unit and the AGC instruction, and the strategy is as follows:
(1) when P is present2,i＞P1,iWhen the battery is in use, the battery performs a discharging operation;
(2) when P is present2,i＜P1,iWhen the battery is charged, the battery is charged;
(3) charge and discharge power P of batterybi＝P2,i-P1,i(discharged is +, charged is-).
4. Battery output power variation limitation:
based on the detailed rules of the frequency modulation auxiliary service in the region of the project, in order to avoid overshoot or overshoot when the unit generating unit responds to the AGC control command, the change of the power output by the battery is limited:
|Pbi-Pbi-1|≤△Pmax
wherein, △ PmaxAnd (4) regulating the frequency modulation auxiliary service according to the region of the project.
5. Battery rated power limit
The output power of the battery can not exceed the rated power PbNamely:
|Pbi|≤Pb
and S4, establishing an energy storage system model according to the energy storage battery parameters, and adding the energy storage system model to calculate on the basis of the power plant simulation model to obtain an AGC (automatic gain control) regulation performance index of joint frequency modulation.
In the embodiment of the present invention, step S4 is to establish an energy storage system model according to the energy storage battery parameters provided by the battery manufacturer. On the basis of a power plant simulation model, an energy storage system model is added, and then AGC (automatic gain control) regulation performance index K of joint frequency modulation is predictedi。
S5, under the constraint of the energy storage battery charging and discharging strategy, establishing an energy storage cost and income model according to the basic parameters of the target power plant and the AGC regulation performance index, and determining an income target function according to the energy storage cost and income model;
in the embodiment of the present invention, further, step S5 specifically includes:
under the constraint of the energy storage battery charging and discharging strategy, establishing an energy storage construction cost model and an energy storage operation and maintenance cost model according to the energy storage battery parameters;
establishing a frequency modulation profit model according to the target region frequency modulation auxiliary service rule specification and the AGC regulation performance index;
and determining a profit objective function by combining the energy storage construction cost model, the energy storage operation and maintenance cost model and the frequency modulation profit model.
In the embodiment of the invention, an energy storage cost and income model is established, and the process of taking the net profit as the maximum objective function is determined, and the method mainly comprises the following four steps:
1. cost of energy storage construction
Initial investment cost C of energy storage systemcIs calculated byThe formula is as follows:
Cc＝Cb+Cpcs+Ca
Cpcs＝cpcs·Pb
Ca＝ca·Eb
wherein:
Cbthe cost of the battery; cpcsCost for energy storage converters (PCS); caFor ancillary facility costs;
cba price per unit of energy for stored energy; c. CpcsIs the price per power of the PCS; c. CaIs the unit energy price of the ancillary facility.
The initial investment cost of each year is reduced:
converting the initial investment cost of each day:
wherein: r is the discount rate; a is the service life of energy storage, and the unit is year; d is the number of stored energy days per year.
2. Energy storage operation and maintenance cost
Cost of operation and maintenance CopIncluding maintenance cost CmAnd running power consumption cost Closs. Wherein the cost of operating electricity consumption ClossIncluding auxiliary power consumption C of the energy storage systemloss,aAnd energy storage system charge-discharge loss Closs,c。
Cop＝Cm+Closs
Closs＝Closs,a+Closs,c
Wherein: pbiThe stored energy power at time t. And T is the total running time of the simulation daily unit.
3. Gain of frequency modulation
The calculation method of the frequency modulation profit is determined by the detailed rule of the frequency modulation auxiliary service of the region where the project is located. In the Guangdong region, for example, the frequency modulation gains are as follows:
wherein:
Dithe mileage is frequency modulation mileage; qiThe price is settled for the mileage; n is the number of transaction cycles; cjThe AGC capacity of the generating unit in the jth scheduling period; t isjThe frequency modulation service time length in the jth scheduling period is obtained; m is the number of scheduling time segments; s is a capacity compensation criterion.
4. Net profit
The benefit of the simulation day is calculated as follows:
and S6, calculating net profits of different energy storage powers and energy storage capacities by using the income objective function, and taking the energy storage power and the energy storage capacity when the maximum net profits are obtained as the optimal energy storage type selection capacity.
And step S6, respectively performing optimization objective function calculation according to different energy storage powers and energy storage capacities. And taking the energy storage power and the energy storage capacity when the net profit is maximum as the final energy storage model selection.
The invention provides an energy storage constant volume method based on an energy storage auxiliary power plant combined frequency modulation simulation technology and an energy storage battery charging and discharging strategy, and compared with the prior art, the embodiment of the invention has the following beneficial effects:
1. the theoretical performance, the scientificity and the accuracy of the energy storage system constant volume method are improved, and therefore the reasonability of the capacity configuration of the energy storage system is improved.
2. The method improves the applicability of the energy storage system capacity selection method in the energy storage auxiliary frequency modulation project, and is suitable for various power plant types such as coal-fired power plants, gas-steam combined cycle power plants and the like.
3. A power plant simulation model is established according to actual operation data of a power plant, energy storage capacity is optimized based on simulation results, performance differentiation among power plant units is fully considered, and accuracy is high.
4. A simulation model is established according to historical AGC instruction data of the power grid dispatching system, and the difference of the frequency modulation characteristics of the regional power grid is fully considered, so that the constant volume result has better applicability in different regions and different power grid characteristics.
5. The charging and discharging strategy of the energy storage battery and the rated power limit of the battery are fully considered, the safe operation parameters provided by a battery manufacturer are effectively embedded, and the safe and stable operation of the energy storage system is better guaranteed.
6. In the charging and discharging strategy of the energy storage battery, the response characteristic requirement of the power plant on the combined frequency modulation is effectively embedded, the flexibility of the constant volume method is improved, and the individual requirement of the power plant is met.
7. The volume fixing method combines the detailed rule of the regional frequency modulation auxiliary service of the project, has wide regional applicability, considers the change limit of the output power of the battery, and ensures the safe and stable operation of the regional power grid while better responding to the frequency modulation requirement of the regional power grid.
It should be noted that the above method or flow embodiment is described as a series of acts or combinations for simplicity, but those skilled in the art should understand that the present invention is not limited by the described acts or sequences, as some steps may be performed in other sequences or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are exemplary embodiments and that no single embodiment is necessarily required by the inventive embodiments.
In order to solve the same technical problem, the invention also provides a simulation constant volume device for the energy storage auxiliary frequency modulation of the power plant, which comprises the following components:
the parameter acquisition module is used for acquiring basic parameters of a target power plant; the basic parameters comprise characteristic parameters of a power plant, actual operation data of the power plant, historical AGC instruction data, parameters of an energy storage battery and the regulation of a target regional frequency modulation auxiliary service rule;
the power plant simulation model establishing module is used for establishing a power plant simulation model according to the actual operation data of the power plant and the historical AGC instruction data based on the target region frequency modulation auxiliary service rule specification;
the battery charging and discharging strategy determining module is used for determining a charging and discharging strategy of the energy storage battery by combining the characteristic parameters of the power plant, the parameters of the energy storage battery and preset battery operation constraint conditions;
the adjusting performance index calculating module is used for establishing an energy storage system model according to the energy storage battery parameters, and adding the energy storage system model to calculate on the basis of the power plant simulation model to obtain an AGC adjusting performance index of joint frequency modulation;
the profit objective function determining module is used for establishing an energy storage cost and profit model according to the basic parameters of the target power plant and the AGC regulation performance index under the constraint of the energy storage battery charging and discharging strategy, and determining a profit objective function according to the energy storage cost and profit model;
and the optimal energy storage type selection constant volume module is used for calculating net profits of different energy storage powers and energy storage capacities by using the income objective function so as to obtain the energy storage power and the energy storage capacity when the net profits are the maximum as the optimal energy storage type selection capacity.
Further, the revenue objective function determination module includes:
the cost model establishing unit is used for establishing an energy storage construction cost model and an energy storage operation and maintenance cost model according to the energy storage battery parameters under the constraint of the energy storage battery charging and discharging strategy;
the profit model establishing unit is used for establishing a frequency modulation profit model according to the target region frequency modulation auxiliary service rule specification and the AGC regulation performance index;
and the profit objective function determining unit is used for determining a profit objective function by combining the energy storage construction cost model, the energy storage operation and maintenance cost model and the frequency modulation profit model.
Further, the energy storage battery charging and discharging strategy comprises one or more of a battery operation permission setting strategy, a battery charging and discharging mode setting strategy, a battery charging and discharging power setting strategy, a battery output power change limiting strategy and a battery rated power limiting strategy.
Further, the battery operation permission setting policy is calculated under the constraint of preset battery manufacturer requirement data; the battery charging and discharging mode setting strategy is calculated under the constraint of the characteristic parameters of the power plant and preset power plant requirement data; the battery charge-discharge power setting strategy is calculated under the constraint of the actual operation data of the power plant and the historical AGC instruction data; the battery output power change limiting strategy is calculated under the constraint specified by the target region frequency modulation auxiliary service rule; the battery rated power limiting strategy is calculated under the constraint of the energy storage battery parameters.
It can be understood that the above-mentioned embodiment of the apparatus corresponds to an embodiment of a method according to the present invention, and the simulation constant volume apparatus for power plant energy storage auxiliary frequency modulation according to the embodiment of the present invention can implement the simulation constant volume method for power plant energy storage auxiliary frequency modulation according to any one embodiment of the method according to the present invention.
In order to solve the same technical problem, the invention further provides a simulation constant volume device for a power plant energy storage auxiliary frequency modulation, which includes a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the processor executes the computer program, any one of the simulation constant volume methods for the power plant energy storage auxiliary frequency modulation is implemented.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (9)
1. A simulation constant volume method for power plant energy storage auxiliary frequency modulation is characterized by comprising the following steps:
acquiring basic parameters of a target power plant; the basic parameters comprise characteristic parameters of a power plant, actual operation data of the power plant, historical AGC instruction data, parameters of an energy storage battery and the regulation of a target regional frequency modulation auxiliary service rule;
establishing a power plant simulation model based on the target region frequency modulation auxiliary service rule specification according to the actual operation data of the power plant and the historical AGC instruction data;
determining a charging and discharging strategy of the energy storage battery by combining the characteristic parameters of the power plant, the parameters of the energy storage battery and preset battery operation constraint conditions;
establishing an energy storage system model according to the energy storage battery parameters, and adding the energy storage system model to calculate on the basis of the power plant simulation model to obtain an AGC (automatic gain control) regulation performance index of joint frequency modulation;
under the constraint of the energy storage battery charging and discharging strategy, establishing an energy storage cost and income model according to the basic parameters of the target power plant and the AGC regulation performance index, and determining an income target function according to the energy storage cost and income model;
and calculating net profits of different energy storage powers and energy storage capacities by using the income objective function so as to obtain the energy storage power and the energy storage capacity when the maximum net profits are taken as the optimal energy storage model selection capacity.
2. The power plant energy storage auxiliary frequency modulation simulation constant volume method according to claim 1, wherein under the constraint of the energy storage battery charging and discharging strategy, an energy storage cost and profit model is established according to the basic parameters of the target power plant and the AGC regulation performance index, and a profit objective function is determined according to the energy storage cost and profit model, specifically:
under the constraint of the energy storage battery charging and discharging strategy, establishing an energy storage construction cost model and an energy storage operation and maintenance cost model according to the energy storage battery parameters;
establishing a frequency modulation profit model according to the target region frequency modulation auxiliary service rule specification and the AGC regulation performance index;
and determining a profit objective function by combining the energy storage construction cost model, the energy storage operation and maintenance cost model and the frequency modulation profit model.
3. The power plant energy storage auxiliary frequency modulation simulation constant volume method according to claim 1, wherein the energy storage battery charging and discharging strategy comprises one or more of a battery operation permission setting strategy, a battery charging and discharging mode setting strategy, a battery charging and discharging power setting strategy, a battery output power change limiting strategy and a battery rated power limiting strategy.
4. The power plant energy storage auxiliary frequency modulation simulation volumetric method according to claim 3, wherein the battery operation permission setting policy is calculated under the constraint of preset battery manufacturer requirement data; the battery charging and discharging mode setting strategy is calculated under the constraint of the characteristic parameters of the power plant and preset power plant requirement data; the battery charge-discharge power setting strategy is calculated under the constraint of the actual operation data of the power plant and the historical AGC instruction data; the battery output power change limiting strategy is calculated under the constraint specified by the target region frequency modulation auxiliary service rule; the battery rated power limiting strategy is calculated under the constraint of the energy storage battery parameters.
5. The utility model provides a simulation constant volume device of supplementary frequency modulation of power plant's energy storage which characterized in that includes:
the parameter acquisition module is used for acquiring basic parameters of a target power plant; the basic parameters comprise characteristic parameters of a power plant, actual operation data of the power plant, historical AGC instruction data, parameters of an energy storage battery and the regulation of a target regional frequency modulation auxiliary service rule;
the power plant simulation model establishing module is used for establishing a power plant simulation model according to the actual operation data of the power plant and the historical AGC instruction data based on the target region frequency modulation auxiliary service rule specification;
the battery charging and discharging strategy determining module is used for determining a charging and discharging strategy of the energy storage battery by combining the characteristic parameters of the power plant, the parameters of the energy storage battery and preset battery operation constraint conditions;
the adjusting performance index calculating module is used for establishing an energy storage system model according to the energy storage battery parameters, and adding the energy storage system model to calculate on the basis of the power plant simulation model to obtain an AGC adjusting performance index of joint frequency modulation;
the profit objective function determining module is used for establishing an energy storage cost and profit model according to the basic parameters of the target power plant and the AGC regulation performance index under the constraint of the energy storage battery charging and discharging strategy, and determining a profit objective function according to the energy storage cost and profit model;
and the optimal energy storage type selection constant volume module is used for calculating net profits of different energy storage powers and energy storage capacities by using the income objective function so as to obtain the energy storage power and the energy storage capacity when the net profits are the maximum as the optimal energy storage type selection capacity.
6. The plant energy storage auxiliary frequency modulation simulated volumetric apparatus of claim 5, wherein the revenue objective function determination module comprises:
the cost model establishing unit is used for establishing an energy storage construction cost model and an energy storage operation and maintenance cost model according to the energy storage battery parameters under the constraint of the energy storage battery charging and discharging strategy;
the profit model establishing unit is used for establishing a frequency modulation profit model according to the target region frequency modulation auxiliary service rule specification and the AGC regulation performance index;
and the profit objective function determining unit is used for determining a profit objective function by combining the energy storage construction cost model, the energy storage operation and maintenance cost model and the frequency modulation profit model.
7. The power plant energy storage auxiliary frequency modulation simulation constant volume device according to claim 5, wherein the energy storage battery charging and discharging strategy comprises one or more of a battery operation permission setting strategy, a battery charging and discharging mode setting strategy, a battery charging and discharging power setting strategy, a battery output power change limiting strategy and a battery rated power limiting strategy.
8. The power plant energy storage auxiliary frequency modulation simulation constant volume device according to claim 7, wherein the battery operation permission setting policy is calculated under the constraint of preset battery manufacturer requirement data; the battery charging and discharging mode setting strategy is calculated under the constraint of the characteristic parameters of the power plant and preset power plant requirement data; the battery charge-discharge power setting strategy is calculated under the constraint of the actual operation data of the power plant and the historical AGC instruction data; the battery output power change limiting strategy is calculated under the constraint specified by the target region frequency modulation auxiliary service rule; the battery rated power limiting strategy is calculated under the constraint of the energy storage battery parameters.
9. A simulated volumetric apparatus for auxiliary frequency modulation of energy storage in a power plant, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the memory is coupled to the processor, and when the computer program is executed by the processor, the simulated volumetric method of auxiliary frequency modulation of energy storage in a power plant according to any one of claims 1 to 5 is implemented.
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