Wind storage cooperative tracking power generation method and device

Abstract

The application provides a wind storage collaborative tracking power generation method and device. The wind storage collaborative tracking power generation method comprises the following steps: obtaining a first power and a second power of a wind farm, the first power being an actual power of the wind farm at a current moment, and the second power being a predicted power generation power of the wind farm at the current moment; judging whether a difference between the first power and the second power is greater than a rated active power of an energy type energy storage system; when the difference between the first power and the second power is less than the rated active power of the energy type energy storage system, controlling the energy type energy storage system to charge and discharge according to the predicted power generation power and the actual power; and when the difference between the first power and the second power is greater than the rated active power of the energy type energy storage system, controlling the energy type energy storage system and a power type energy storage system to charge and discharge according to the predicted power generation power and the actual power. According to the application, the energy storage system is controlled to charge and discharge according to the predicted power generation power and the actual power, so that the power generation loss is reduced, and the power generation utilization rate is improved.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the field of electric power, and particularly to a wind storage collaborative tracking power generation method and device. BACKGROUND

[0002] How to control the output power of the wind farm, track the power generation plan, and realize the dispatchability of wind power is a hot spot of current wind power grid connection.

[0003] The existing tracking power generation plan is to configure an energy storage system on the basis of reserving a certain backup capacity. When the error between the actual power generation power of the wind farm and the predicted power generation power is within the error range, the power generation power of the wind farm meets the scheduling demand through the reserved backup capacity; when the error between the actual power generation power of the wind farm and the predicted power generation power is outside the error range, the power generation power of the wind farm meets the scheduling demand through the charge and discharge adjustment of the energy storage system. However, long-term reservation of backup capacity will cause loss of power generation and reduce power generation utilization. SUMMARY

[0004] In order to reduce the loss of power generation and improve the utilization of power generation, the present application provides a wind storage collaborative tracking power generation method and device.

[0005] In a first aspect, the present application provides a wind storage collaborative tracking power generation method, comprising:

[0006] obtaining a first power and a second power of a wind farm, the first power being an actual power of the wind farm at a current time, and the second power being a predicted power generation power of the wind farm at the current time;

[0007] determining whether the difference between the first power and the second power is greater than the rated active power of the energy storage system;

[0008] when the difference between the first power and the second power is less than the rated active power of the energy storage system, controlling the energy storage system to charge or discharge according to the predicted power generation power and the actual power;

[0009] when the difference between the first power and the second power is greater than the rated active power of the energy storage system, controlling the energy storage system and the power storage system to jointly charge or discharge according to the predicted power generation power and the actual power.

[0010] By the application, the energy type energy storage system and the power type energy storage system are controlled to charge and discharge according to the predicted power generation power and the actual power of the wind farm, the loss of the power generation of the wind farm caused by reserving standby capacity is reduced, and the power generation utilization rate is improved. Meanwhile, the power type energy storage system has the characteristics of high power density, frequent charging and discharging of short-time high power, and the energy type energy storage system has the characteristics of high energy density and high regulation accuracy. When the difference between the actual power and the predicted power generation power is greater than the rated active power of the energy type energy storage system (i.e., a short-term peak occurs), the energy type energy storage system and the power type energy storage system are simultaneously charged and discharged, so that the cost is reduced, the power generation is quickly tracked, and the accuracy of the real-time tracking power generation plan is improved.

[0011] With reference to the first aspect, in a first embodiment of the first aspect, when the difference between the first power and the second power is less than the rated active power of the energy type energy storage system, the energy type energy storage system is controlled to charge or discharge, including:

[0012] When the first power is greater than the second power, the energy type energy storage system is controlled to charge;

[0013] When the first power is less than the second power, the energy type energy storage system is controlled to discharge.

[0014] With reference to the first aspect or the first embodiment of the first aspect, in a second embodiment of the first aspect, when the difference between the first power and the second power is greater than the rated active power of the energy type energy storage system, the energy type energy storage system and the power type energy storage system are controlled to jointly charge or discharge, including:

[0015] If the first power is greater than the second power, the energy type energy storage system and the power type energy storage system are controlled to charge;

[0016] If the first power is less than the second power, the energy type energy storage system and the power type energy storage system are controlled to discharge.

[0017] With reference to the second embodiment of the first aspect, in a third embodiment of the first aspect, when the difference between the first power and the second power is greater than the sum of the rated active powers of the energy type energy storage system and the power type energy storage system, and the active power of the wind farm is greater than a preset threshold, the active power of the wind farm is reduced.

[0018] With reference to the first aspect, in a fourth embodiment of the first aspect, if the wind farm has a primary frequency modulation demand and / or an inertia response demand, the power type energy storage system is controlled to charge or discharge according to the corresponding demand.

[0019] Through the above embodiment, by using the short-time high-power frequent charging and discharging characteristics of the power-type energy storage system, when the primary frequency modulation demand and / or the inertia response demand occurs, the power-type energy storage system can quickly respond to the grid frequency change, so that the wind farm has the primary frequency modulation / inertia response support capability, improves the safety and stability of the wind farm station grid connection, improves the accuracy of the wind power prediction, and improves the effect of real-time tracking of the power generation plan.

[0020] In combination with the fourth embodiment of the first aspect, in a fifth embodiment of the first aspect, when the frequency change value deviation of the wind farm is outside the first preset frequency range, it is determined that the wind farm has a primary frequency modulation demand.

[0021] In combination with the fourth embodiment of the first aspect, in a sixth embodiment of the first aspect, when the frequency change rate of the wind farm is outside the second preset frequency range, it is determined that the wind farm has an inertia response demand.

[0022] In combination with the fifth embodiment of the first aspect, in a seventh embodiment of the first aspect, the power-type energy storage system participates in the primary frequency modulation through charging or discharging, including:

[0023] When the frequency change value deviation of the wind farm is greater than the upper limit of the first preset frequency range, the power-type energy storage system is controlled to be charged;

[0024] When the frequency change value deviation of the wind farm is less than the lower limit of the first preset frequency range, the power-type energy storage system is controlled to be discharged.

[0025] In combination with the sixth embodiment of the first aspect, in an eighth embodiment of the first aspect, the power-type energy storage system participates in the inertia response through charging or discharging, including:

[0026] When the frequency change rate of the wind farm is greater than the upper limit of the second preset frequency range, the power-type energy storage system is controlled to be charged;

[0027] When the frequency change rate of the wind farm is less than the lower limit of the second preset frequency range, the power-type energy storage system is controlled to be discharged.

[0028] Secondly, the present application provides a wind storage collaborative tracking power generation device, which comprises:

[0029] An acquisition module is configured to acquire a first power and a second power of a wind farm, the first power being an actual power of the wind farm at a current time, and the second power being a predicted power generation power of the wind farm at the current time;

[0030] A judgment module is configured to judge whether a difference between the first power and the second power is greater than a rated active power of an energy-type energy storage system.

[0031] a first control module configured to control the energy storage system to charge or discharge according to the predicted power generation and the actual power when the difference between the first power and the second power is less than the rated active power of the energy storage system;

[0032] a second control module configured to control the energy storage system and the power storage system to charge or discharge together according to the predicted power generation and the actual power when the difference between the first power and the second power is greater than the rated active power of the energy storage system.

[0033] By the above device, the energy storage system and the power storage system are controlled to charge and discharge according to the predicted power generation and the actual power of the wind farm, the loss of the wind farm power generation caused by reserving standby capacity is reduced, and the power generation utilization rate is improved. At the same time, by using the characteristics of the power storage system with high power density, short-time high power frequent charging and discharging and the energy storage system with high energy density and high regulation accuracy, when the difference between the actual power and the predicted power generation is greater than the rated active power of the energy storage system (i.e. a short peak appears), the energy storage system and the power storage system are used to charge and discharge at the same time, so as to reduce the cost, quickly respond to the power generation, and improve the accuracy of the real-time tracking power generation plan. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0035] Figure 1 a flow chart of a wind storage cooperative tracking power generation method according to an exemplary embodiment;

[0036] Figure 2 a wind farm historical day ultra-short-term wind power prediction error curve diagram according to an exemplary embodiment;

[0037] Figure 3 a wind farm ultra-short-term wind power prediction positive deviation curve diagram according to an exemplary embodiment;

[0038] Figure 4 a wind farm ultra-short-term wind power prediction negative deviation curve diagram according to an exemplary embodiment;

[0039] Figure 5 a structural diagram of a wind storage cooperative tracking power generation device according to an exemplary embodiment.

[0040] Figure 6A hardware structure schematic diagram of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0041] The technical solutions of the present application will be described clearly and completely below in conjunction with the drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0042] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0043] The embodiment of the present application provides a wind storage collaborative tracking power generation method, as shown in the figure. Figure 1 The wind storage collaborative tracking power generation method includes but is not limited to steps S101-S104.

[0044] In step S101, the first power and the second power of the wind farm are obtained, the first power is the actual power of the wind farm at the current moment, and the second power is the predicted power generation of the wind farm at the current moment.

[0045] Specifically, the predicted power generation of the wind farm is obtained by a wind power prediction device, and the calculation method of the predicted power generation is: according to the relevant data of the meteorological information of the wind farm, the short-term forecast of the wind speed of the wind farm is carried out by using physical simulation calculation and scientific statistical method, and then the power of the wind farm is predicted. The power generation plan of the wind farm is made according to the predicted power generation, so as to realize the scheduling requirement of the wind farm. In the operation process of the wind farm, the error between the actual power and the predicted power generation should be as small as possible, so as to track the power generation plan, alleviate the influence of the fluctuation of wind power on the power grid, and ensure the safe and stable operation of the power system.

[0046] In step S102, it is judged whether the difference between the first power and the second power is greater than the rated active power of the energy storage system.

[0047] Specifically, the energy storage system has the characteristics of high energy density and high regulation accuracy, and is suitable for medium and long term energy storage, that is, suitable for long time tracking of power generation plan. Therefore, the error between the first power and the second power is adjusted by the energy storage system within the predetermined power range, so as to ensure the stability of wind power generation.

[0048] In step S103, when the difference between the first power and the second power is less than the rated active power of the energy storage system, the energy storage system is controlled to charge or discharge according to the predicted power generation and the actual power.

[0049] Specifically, when the error of the first power and the second power of the wind farm is within the error range (energy type energy storage system rated active power), the energy type energy storage system is used for charging and discharging. The energy type energy storage system includes pumped storage, lithium ion battery, sodium ion battery, etc., and has the characteristics of high energy density and high regulation accuracy. In the embodiment of the present application, the energy type energy storage system is used to track power generation within the error range, which can accurately and reliably regulate the power generation of the wind farm.

[0050] In an optional embodiment, the energy type energy storage system rated active power can be the actual rated active power or the theoretical rated active power.

[0051] In step S104, when the difference between the first power and the second power is greater than the energy type energy storage system rated active power, the energy type energy storage system and the power type energy storage system are controlled to charge or discharge together according to the predicted power generation and the actual power.

[0052] Specifically, the power type energy storage system includes flywheel energy storage, super capacitor energy storage, superconducting energy storage, etc. The power type energy storage system has the characteristics of high power density, short-time high power and frequent charging and discharging, and is suitable for short-term energy storage. When the error between the first power and the second power exceeds the energy type energy storage system rated active power, i.e. a short-term peak occurs, the power type energy storage system can be used for rapid charging and discharging in a short time, thereby relieving wind power fluctuation and improving the effect of real-time tracking of power generation plan.

[0053] Through the embodiment of the present application, the loss of wind farm power generation caused by reserving standby capacity is reduced, and the power generation utilization rate is improved. At the same time, by using the characteristics of high power density, short-time high power and frequent charging and discharging of the power type energy storage system and the high energy density and high regulation accuracy of the energy type energy storage system, when the difference between the actual power and the predicted power generation is greater than the energy type energy storage system rated active power (i.e. a short-term peak occurs), the energy type energy storage system and the power type energy storage system are used for charging and discharging at the same time, which can quickly respond to track power generation and improve the accuracy of real-time tracking of power generation plan while reducing cost.

[0054] In order to ensure that the wind storage system can track the power generation plan in real time, the power of the energy storage system needs to be reasonably configured while meeting the scheduling requirements of real-time tracking of power generation plan.

[0055] Figure 2 The wind farm historical day ultra-short term wind power prediction error curve diagram according to an exemplary embodiment is shown. The wind power prediction error refers to the difference between the first power and the second power of the wind farm. According to the requirements of the wind farm access to power system technical regulations, the monthly average accuracy of the wind farm ultra-short term power prediction should not be less than C R , C R is defined as follows:

[0056]

[0057] wherein P Mi is the first power of the wind farm at time i, in megawatt (MW); P Pi is the second power of the wind farm at time i, in megawatt (MW); P op is the total capacity of the wind farm, in megawatt (MW); and n is the number of all samples.

[0058] AP wpp = |P Mi - P Pi |

[0059] wherein AP wpp (WPP is wind power prediction) is the difference between the first power of the wind farm at time i and the second power of the wind farm at time i, i.e. the ultra-short-term power prediction error value of the wind farm at time i.

[0060]

[0061] wherein C i is the ratio between the ultra-short-term power prediction error value of the wind farm at time i and the total capacity of the wind farm, i.e. the ultra-short-term power prediction error rate of the wind farm at time i, expressed in percentage (%).

[0062] Taking C i as the benchmark, the ultra-short-term power prediction error value range [-AP wpp_sta , +AP wpp_sta ] at time i is marked on the historical ultra-short-term power prediction error curve of the wind farm, wherein +AP wpp_sta is the upper limit of the ultra-short-term power prediction error value of the wind farm at time i, and -AP wpp_sta is the lower limit of the ultra-short-term power prediction error value of the wind farm at time i, wherein AP wpp_sta is as follows:

[0063] AP wpp_sta = P op x C i x 100%

[0064] In an optional embodiment, the upper limit of the ultra-short-term power prediction error value of the wind farm at time i is set as the theoretical rated active power P bess (bess is battery energy storage system). Considering that the accuracy deviation of the energy storage system during charging and discharging is μ1%, the actual rated active power of the energy storage system is configured as:

[0065] ΔP bess = P bess × (1 + μ1%)

[0066] In yet another optional embodiment, the difference between the upper limit of the error value outside the error range of the ultra-short-term power prediction value of the wind farm i at the moment and the upper limit of the ultra-short-term power prediction error value of the wind farm i at the moment is set as the theoretical rated active power P fess (fess is a flywheel energy storage system), considering the accuracy deviation μ2% during the charging and discharging of the power-type energy storage system, therefore, the actual rated active power of the power-type energy storage system is configured as follows:

[0067] ΔP fess = P fess × (1 + μ2%)

[0068] Figure 3 And Figure 4 is a schematic diagram of the ultra-short-term wind power prediction deviation curve of the wind farm, in the curve shown in Figure 3 and Figure 4 , the abscissa t represents time, and the ordinate ΔP wpp represents the ultra-short-term power prediction error value, that is, the difference between the first power and the second power, ΔP wpp_sta represents the rated active power of the energy-type energy storage system, ΔP wpp_max represents the maximum value of the ultra-short-term power prediction error value, when the ultra-short-term power prediction error value is within the range of [0, + ΔP wpp_sta ] or within the range of [- ΔP wpp_sta , 0], it means that the difference between the first power and the second power is less than the rated active power of the energy-type energy storage system, at this time, the above step S103 is executed, and the energy-type energy storage system is controlled to charge or discharge.

[0069] When the ultra-short-term power prediction error value is within the range of [+ ΔP wpp_sta , + ΔP wpp_max ] or within the range of [- ΔP wpp_max , - ΔP wpp_sta ], it means that the difference between the first power and the second power is greater than the rated active power of the energy-type energy storage system, at this time, the above step S104 is executed, and the energy-type energy storage system and the power-type energy storage system are controlled to charge or discharge together.

[0070] In an example, the above step S103 specifically includes:

[0071] When the first power is greater than the second power, the energy-type energy storage system is controlled to charge.

[0072] As Figure 3As shown, when the first power is greater than the second power, the difference between the first power and the second power is in [0, +△P wpp_sta ] range, at this time, the energy storage system is controlled to charge, and after the ultra-short-term power prediction error value of the wind farm at time i returns to zero, the energy storage system is controlled to switch from the charging state to the standby state.

[0073] When the first power is less than the second power, the energy storage system is controlled to discharge.

[0074] like Figure 4 As shown, when the first power is less than the second power, the difference between the first power and the second power is [-△P wpp_sta , 0], at this time, the energy storage system is controlled to discharge, and after the ultra-short-term power prediction error value of the wind farm at time i returns to zero, the energy storage system is controlled to switch from the discharge state to the standby state.

[0075] In another example, the above step S104 specifically includes:

[0076] If the first power is greater than the second power, the energy-type energy storage system and the power-type energy storage system are controlled to charge.

[0077] like Figure 3 As shown, when the first power is greater than the second power, the difference between the first power and the second power is [﹢△P wpp_sta , +△P wpp_max ] range, at this time, the energy-type energy storage system and the power-type energy storage system are controlled to charge at the same time, and after the ultra-short-term power prediction error value of the wind farm at time i returns to zero, the energy-type energy storage system and the power-type energy storage system are controlled to switch from the charging state to the standby state.

[0078] If the first power is less than the second power, the energy-type energy storage system and the power-type energy storage system are controlled to discharge.

[0079] like Figure 4 As shown, when the first power is less than the second power, the difference between the first power and the second power is [-△P wpp_max , -△P wpp_sta ] range, at this time, the energy-type energy storage system and the power-type energy storage system are controlled to discharge, and after the ultra-short-term power prediction error value of the wind farm at time i returns to zero, the energy-type energy storage system and the power-type energy storage system are controlled to switch from the discharge state to the standby state.

[0080] In another example, when the difference between the first power and the second power is greater than the sum of the rated active power of the energy storage system and the power storage system, and the active power of the wind farm is greater than a preset threshold, the active power of the wind farm is reduced. At this time, the energy storage system and the power storage system are not sufficient to adjust the error between the first power and the second power, and the wind farm has the ability to reduce the power, so the active power of the wind farm needs to be reduced to make the error between the first power and the second power as small as possible. In the embodiment of the application, the preset threshold is set to 10% of the total capacity of the on-line, and of course it can also be set to other thresholds according to the needs.

[0081] In an example, in the process of real-time tracking of the power generation plan of the wind storage system, in order to meet the scheduling requirements of the real-time tracking of the power generation plan, the capacity of the power storage system needs to be reasonably configured. In a specific embodiment, the capacity of the power storage system can be calculated according to the total length of time when the difference between the first power and the second power is greater than the rated active power of the energy storage system, and the size of the difference when the difference between the first power and the second power is greater than the rated active power of the energy storage system within a period of time.

[0082] Exemplarily, in the embodiment shown in Figure 3 and Figure 4 , the capacity of the power storage system can be determined according to the area of the shadow part located above +△P wpp_sta and the shadow part located above -△P wpp_sta :

[0083] Firstly, the absorption capacity of the power storage system is calculated, and in the interval of [ +△P wpp_sta， +△P wpp_max ,

[0084] The energy absorbed by the power storage system in the ith shadow area is

[0085] i = 1, 3, 5, …, positive odd number

[0086] After completing the charging of the nth shadow area, the total energy absorbed by the power storage system is

[0087] i = 1, 3, 5, …, positive odd number

[0088] Where E oc_fess is the initial energy of the power storage system, which takes into account the ability of the power storage system to simultaneously provide upward and downward active power support.

[0089] Then, the release capacity of the power storage system is calculated, and in the interval of [ -△P wpp_max， -△P wpp_sta ,

[0090] The energy released by the power-type energy storage system in the ith shadow area is

[0091] i = 2, 4, 6, …, positive even number

[0092] After completing the charging of the nth shadow area, the total energy released by the power-type energy storage system is

[0093] i = 2, 4, 6, …, positive even number

[0094] where E od_fess is the initial energy of the power-type energy storage system, and is the ability of the power-type energy storage system to simultaneously provide upward and downward active power support.

[0095] Finally, according to the maximum value max|E n_c” | of the total charging energy of the power-type energy storage system calculated from the positive deviation curve of the historical daily ultra-short-term wind power prediction of the wind farm and the minimum value min|E n_c” | of the total charging energy of the power-type energy storage system, as well as the maximum value max|E n_d” | of the total discharging energy of the power-type energy storage system calculated from the negative deviation curve of the historical daily ultra-short-term wind power prediction of the wind farm and the minimum value min|E n_d” | of the total discharging energy of the power-type energy storage system, the minimum capacity required by the power-type energy storage system can be calculated as:

[0096] E fess_cd” = max|E n_c” |- min|E n_d” |

[0097] E fess_dc” = max|E n_d” |- min|E n_c” |

[0098] Comparing E fess_cd” and E fess_dc” , if E fess_cd” > E fess_dc” , then the minimum capacity of the power-type energy storage system is E fess_cd” , i.e., E fess” = E fess_cd” ; if E fess_cd” < E fess_dc” , then the minimum capacity of the power-type energy storage system is E fess_dc” , i.e., E fess” = E fess_dc” .

[0099] In an example, in the process of real-time tracking of power generation plan of the wind storage system, in order to meet the scheduling requirement of real-time tracking of power generation plan, the capacity of the energy storage system needs to be reasonably configured. In a specific embodiment, the capacity of the energy storage system can be calculated according to the total length of time when the difference between the first power and the second power is less than the rated active power of the energy storage system, and the difference value when the difference between the first power and the second power is less than the rated active power of the energy storage system.

[0100] Exemplarily, in the embodiment as shown in Figure 3 and Figure 4 , the capacity of the energy storage system can be determined according to the area of the shadow part located below the +△P wpp_sta , and the shadow part located below the -△P wpp_sta .

[0101] Firstly, the absorption capacity of the energy storage system is calculated. In the interval [0, +△P wpp_max ], the total energy absorbed by the energy storage system in the ith shadow area is,

[0102] i = 1, 3, 5, …, positive odd number

[0103] After charging the nth shadow area, the total energy absorbed by the energy storage system is,

[0104] i = 1, 3, 5, …, positive odd number

[0105] wherein E oc_bess is the initial energy of the energy storage system, which is considered to have the ability to support upward and downward active power at the same time.

[0106] The energy absorbed by the energy storage system in the ith shadow area is,

[0107] E i_c’ = E i_c - E i_c”

[0108] After charging the nth shadow area, the total energy absorbed by the energy storage system is,

[0109]

[0110] Then, the release capacity of the energy storage system is calculated. In the interval [-△P wpp_max , 0], the total energy released by the energy storage system in the ith shadow area is,

[0111] i = 2, 4, 6, …, positive even number

[0112] After finishing charging the nth hatched area, the total energy released by the energy storage system is,

[0113] i = 2, 4, 6, …, positive even number

[0114] wherein E od_bess is the initial energy of the energy storage system, which is considered to have the ability to provide upward and downward active power support at the same time.

[0115] The energy released by the energy storage system in the ith hatched area is,

[0116] E i_d’ = E i_d - E i_d”

[0117] After finishing charging the nth hatched area, the total energy released by the energy storage system is,

[0118]

[0119] Finally, according to the maximum value max|E n_c’ | of the total energy of the energy storage system calculated by the positive deviation curve of the historical daily ultra-short-term wind power prediction of the wind farm and the minimum value min|E n_c’ | of the total energy of the energy storage system, as well as the maximum value max|E n_d’ | of the total energy of the energy storage system calculated by the negative deviation curve of the historical daily ultra-short-term wind power prediction of the wind farm and the minimum value min|E n_d’ | of the total energy of the energy storage system, the maximum value max|E bess_cd’ | and the minimum value min|E n_c’ | of the total energy of the energy storage system are calculated.

[0120] The minimum capacity of the energy storage system to be configured is calculated as,

[0121] E n_d’ = max|E bess_dc’ | - min|E n_d’ |

[0122] E n_c’ = max|E bess_cd’ | - min|E bess_dc’ |

[0123] Comparing E bess_cd’ and E bess_dc’ , if E bess_cd’ > E bess” , the minimum capacity of the energy storage system to be configured is E bess_cd’ , i.e., E bess_cd’ = E bess_dc’The minimum capacity of the energy-type energy storage system configuration is E bess_dc’ , that is, E bess’ = E bess_dc’ .

[0124] According to statistics, the more the number of historical prediction data samples analyzed, the more accurate the analysis result can be obtained, but there is no deviation. Therefore, during the cooperation of the power-type energy storage system and the energy-type energy storage system with the wind turbine to track the power generation plan, if the active power support of the energy storage system is insufficient, the wind turbine operation state also needs to be adjusted.

[0125] In an example, if the wind farm has primary frequency modulation demand and / or inertia response demand, the power-type energy storage system charges or discharges according to the corresponding demand. That is, when the wind farm has primary frequency modulation demand, the power-type energy storage system charges and discharges to respond to primary frequency modulation; when the wind farm has inertia response demand, the power-type energy storage system charges and discharges to respond to inertia; and when the wind farm has both primary frequency modulation demand and inertia response demand, the power-type energy storage system charges and discharges to respond to primary frequency modulation and inertia at the same time.

[0126] Since primary frequency modulation / inertia response has the characteristics of high adjustment frequency, short duration, and fast response speed, and the power-type energy storage system has the advantages of short-time high power and frequent charging and discharging, the power-type energy storage system is used for primary frequency modulation / inertia response in the embodiment of the present application, which can quickly complete primary frequency modulation / inertia response, so that the wind farm station has primary frequency modulation / inertia response support capability, and the safety and stability of the wind farm station are improved.

[0127] In an example, according to the requirement of the primary frequency modulation technology of the grid-connected power supply, the primary frequency modulation active power regulation limit is 10%, that is, 10% P op , compared with △P fess and 10% P op , if △P fess > 10% P op , then △P fess = P fess ×(1+μ2%); if △P fess < 10% P op , then △P fess = 10% P op .

[0128] In an optional embodiment, when the frequency variation value deviation of the wind farm is outside a first preset frequency range, it is determined that the wind farm has primary frequency modulation demand. Specifically, the frequency variation value deviation refers to the size of the frequency variation value of the wind farm minus the grid frequency 50Hz, and the first preset frequency range, i.e., the primary frequency modulation dead zone, is preferably set to ±(0.03-0.1)Hz. In the embodiment of the present application, the primary frequency modulation dead zone range is (-0.03Hz, 0.03Hz), and of course the primary frequency modulation dead zone range can be adjusted according to actual needs.

[0129] In an optional embodiment, when the wind farm has primary frequency modulation demand, the steps in which the power-type energy storage system participates in primary frequency modulation through charging or discharging specifically include:

[0130] When the frequency variation value deviation of the wind farm is greater than the upper limit of the first preset frequency range, the power-type energy storage system is controlled to charge; and when the frequency variation value deviation of the wind farm is less than the lower limit of the first preset frequency range, the power-type energy storage system is controlled to discharge. Specifically, when the frequency variation value deviation of the wind farm is greater than 0.03Hz, the wind farm is in a primary frequency modulation high-frequency scenario, and the power-type energy storage system is controlled to charge; and when the frequency variation value deviation of the wind farm is less than -0.03Hz, the wind farm is in a primary frequency modulation low-frequency scenario, and the power-type energy storage system is controlled to discharge.

[0131] In an optional embodiment, when the frequency variation rate of the wind farm is outside a second preset frequency range, it is determined that the wind farm has inertia response demand. Specifically, the second preset frequency range, i.e., the inertia response dead zone, is preferably set to ±0.2Hz / s, and of course the inertia response dead zone range can be adjusted according to actual needs.

[0132] When the wind farm has inertia response demand, the steps in which the power-type energy storage system participates in inertia response through charging or discharging specifically include:

[0133] In an optional embodiment, when the frequency variation rate of the wind farm is greater than the upper limit of the second preset frequency range, the power-type energy storage system is controlled to charge; and when the frequency variation rate of the wind farm is less than the lower limit of the second preset frequency range, the power-type energy storage system is controlled to discharge. Specifically, when the frequency variation rate of the wind farm is greater than 0.2Hz, the wind farm is in an inertia response high-frequency scenario, and the power-type energy storage system is controlled to charge; and when the frequency variation rate of the wind farm is less than -0.2Hz, the wind farm is in an inertia response low-frequency scenario, and the power-type energy storage system is controlled to discharge.

[0134] In an optional embodiment, when the frequency variation value deviation of the wind farm is greater than 0.03Hz and the frequency variation rate is greater than 0.2Hz, the wind farm is in both a primary frequency modulation high-frequency scenario and an inertia response high-frequency scenario, and at this time, the charging power of the power-type energy storage system is the sum of the charging power in the primary frequency modulation high-frequency scenario and the charging power in the inertia response high-frequency scenario.

[0135] In yet another optional embodiment, when the frequency variation value deviation of the wind farm is less than -0.03 Hz, and the frequency variation rate is less than -0.2 Hz, the wind farm is in both the primary frequency modulation low-frequency scenario and the inertia response low-frequency scenario, and at this time, the charging power of the power-type energy storage system is the sum of the discharging power in the primary frequency modulation low-frequency scenario and the discharging power in the inertia response low-frequency scenario.

[0136] During the charging or discharging of the power-type energy storage system according to the predicted power generation and the actual power, if the wind farm has a primary frequency modulation demand and / or an inertia response demand, the power-type energy storage system preferentially performs primary frequency modulation and / or inertia response, and after the primary frequency modulation and / or inertia response ends, the charging or discharging of the power-type energy storage system according to the predicted power generation and the actual power continues.

[0137] Based on the same inventive concept, the embodiments of the present application also provide a wind storage collaborative tracking power generation device, as shown in the accompanying drawings, the device comprises: Figure 5

[0138] The acquisition module 501 is configured to acquire a first power and a second power of a wind farm, the first power being an actual power of the wind farm at a current time, and the second power being a predicted power generation of the wind farm at the current time. For details, refer to the description of step S101 in the above embodiments, which will not be repeated here.

[0139] The judgment module 502 is configured to judge whether a difference between the first power and the second power is greater than a rated active power of an energy-type energy storage system. For details, refer to the description of step S102 in the above embodiments, which will not be repeated here.

[0140] The first control module 503 is configured to control the energy-type energy storage system to charge or discharge according to the predicted power generation and the actual power when the difference between the first power and the second power is less than the rated active power of the energy-type energy storage system. For details, refer to the description of step S103 in the above embodiments, which will not be repeated here.

[0141] The second control module 504 is configured to control the energy-type energy storage system and the power-type energy storage system to jointly charge or discharge according to the predicted power generation and the actual power when the difference between the first power and the second power is greater than the rated active power of the energy-type energy storage system. For details, refer to the description of step S104 in the above embodiments, which will not be repeated here.

[0142] In an example, the first control module 503 comprises:

[0143] The third control module is configured to control the energy-type energy storage system to charge when the first power is greater than the second power. For details, refer to the description in the above embodiments, which will not be repeated here.​

[0144] The fourth control module is configured to control the energy storage system to discharge when the first power is less than the second power. For details, refer to the description in the above embodiments, which are not repeated here.

[0145] In yet another example, the second control module 504 includes:

[0146] The fifth control module is configured to control the energy storage system and the power storage system to charge if the first power is greater than the second power. For details, refer to the description in the above embodiments, which are not repeated here.

[0147] The sixth control module is configured to control the energy storage system and the power storage system to discharge if the first power is less than the second power. For details, refer to the description in the above embodiments, which are not repeated here.

[0148] In another example, the apparatus is further configured to reduce the active power of the wind farm when the difference between the first power and the second power is greater than the sum of the rated active power of the energy storage system and the power storage system, and the active power of the wind farm is greater than a preset threshold. For details, refer to the description in the above embodiments, which are not repeated here.

[0149] In an example, the apparatus is further configured to charge or discharge the power storage system according to the corresponding demand if the wind farm has a primary frequency modulation demand and / or an inertia response demand. For details, refer to the description in the above embodiments, which are not repeated here.

[0150] In an example, the apparatus further includes:

[0151] The first determination module is configured to determine that the wind farm has a primary frequency modulation demand when the frequency change value deviation of the wind farm is outside the first preset frequency range. For details, refer to the description in the above embodiments, which are not repeated here.

[0152] In yet another example, the apparatus further includes:

[0153] The second determination module is configured to determine that the wind farm has an inertia response demand when the frequency change rate of the wind farm is outside the second preset frequency range. For details, refer to the description in the above embodiments, which are not repeated here.

[0154] In an example, in the apparatus, the power storage system participates in primary frequency modulation through charging or discharging, and further includes:

[0155] The seventh control module is configured to control the power storage system to charge when the frequency change value deviation of the wind farm is greater than the upper limit of the first preset frequency range. For details, refer to the description in the above embodiments, which are not repeated here.

[0156] The eighth control module is configured to control the power-type energy storage system to discharge when the frequency variation value deviation of the wind farm is less than the lower limit of the first preset frequency range. For details, refer to the description in the above embodiments, which will not be described here again.

[0157] In yet another example, in the device, the power-type energy storage system participates in the inertia response through charging or discharging, and further comprises:

[0158] The ninth control module is configured to control the power-type energy storage system to charge when the frequency variation rate of the wind farm is greater than the upper limit of the second preset frequency range. For details, refer to the description in the above embodiments, which will not be described here again.

[0159] The tenth control module is configured to control the power-type energy storage system to discharge when the frequency variation rate of the wind farm is less than the lower limit of the second preset frequency range. For details, refer to the description in the above embodiments, which will not be described here again.

[0160] The specific limitations and beneficial effects of the above device can refer to the limitations of the wind storage collaborative tracking power generation method described above, which will not be described here again. The above modules can be realized by software, hardware and their combinations in whole or in part. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above modules.

[0161] Figure 6 is a hardware structure schematic diagram of a computer device according to an example embodiment. As shown in Figure 6 , the device includes one or more processors 610 and a memory 620, and the memory 620 includes a persistent memory, a volatile memory and a hard disk, Figure 6 The device can also include an input device 630 and an output device 640.

[0162] The processor 610, the memory 620, the input device 630 and the output device 640 can be connected by a bus or other means, Figure 6 for example, by a bus connection.

[0163] The processor 610 can be a central processing unit (CPU). The processor 610 can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, or a combination thereof. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0164] The memory 620, as a non-transitory computer-readable storage medium, includes a persistent memory, a volatile memory and a hard disk, and can be used to store non-transitory software programs, non-transitory computer-executable programs and modules, such as program instructions / modules corresponding to the wind storage cooperative tracking power generation method in the embodiments of the present application. The processor 610 performs various functional applications and data processing of the server by running the non-transitory software programs, instructions and modules stored in the memory 620, that is, implements any one of the wind storage cooperative tracking power generation methods described above.

[0165] The memory 620 can include a program storage area and a data storage area. The program storage area can store an operating system and at least one application required by a function; the data storage area can store data required for use, etc. In addition, the memory 620 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device or other non-transitory solid-state memory device. In some embodiments, the memory 620 can optionally include a memory disposed remotely with respect to the processor 610, and these remote memories can be connected to the data processing device through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network and a combination thereof.

[0166] The input device 630 can receive input digital or character information, and generate signal input related to user settings and function control. The output device 640 can include a display device such as a display screen.

[0167] One or more modules are stored in the memory 620, and when executed by the one or more processors 610, perform the method as shown in Figure 1 .

[0168] The above product can perform the method provided by the embodiments of the present application, and has the corresponding function modules and beneficial effects of performing the method. Technical details not described in detail in the embodiments can be referred to asFigure 1 The relevant description in the illustrated embodiment.

[0169] The embodiment of the present application further provides a non-transitory computer storage medium, and the computer storage medium stores computer executable instructions. The computer executable instructions can execute the tracking power generation method in any method embodiment described above. The storage medium can be a magnetic disc, an optical disc, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory, a Hard Disk Drive (HDD) or a Solid-State Drive (SSD), etc. The storage medium can also include a combination of the above-mentioned memories.

[0170] It should be noted that, in this document, relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action, without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the statement "comprising a... " does not exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0171] The above is only a specific embodiment of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. A wind storage collaborative tracking power generation method, characterized in that, The method comprises: Obtaining a first power and a second power of a wind farm, where the first power is the actual power of the wind farm at a current moment, and the second power is the predicted power generation of the wind farm at a current moment; determining whether a difference between the first power and the second power is greater than a rated active power of the energy storage system; When the difference between the first power and the second power is less than the rated active power of the energy storage system, controlling the energy storage system to charge or discharge according to the predicted generated power and the actual power; When the difference between the first power and the second power is greater than the rated active power of the energy storage system, controlling the energy storage system and the power storage system to charge or discharge together according to the predicted generated power and the actual power; The minimum capacity of the energy storage system is determined as follows: According to the energy type energy storage system charging total energy maximum value max|E n_c’ | and the energy type energy storage system discharging total energy minimum value min|E n_d’ | calculated by the wind farm historical day ultra-short-term wind power prediction positive deviation curve within a preset time length, and the energy type energy storage system discharging total energy maximum value max|E n_d’ | and the energy type energy storage system discharging total energy minimum value min|E n_c’ | calculated by the wind farm historical day ultra-short-term wind power prediction negative deviation curve, the minimum capacity of the energy type energy storage system to be configured is calculated as, E bess_cd’ = max |E n_c’ | - min |E n_d’ | E bess_dc’ = max |E n_d’ | - min |E n_c’ | Comparison E bess_cd’ and E bess_dc’ , if E bess_cd’ > E bess_dc’ , the minimum capacity of the energy type energy storage system configuration is E bess_cd’ ; if E bess_cd’ < E bess_dc’ , the minimum capacity of the energy type energy storage system configuration is E bess_dc’ ; The total charging energy of the energy storage system is determined based on the total duration within the preset duration when the difference between the first power and the second power is less than the rated active power of the energy storage system, and the size of the difference when the difference between the first power and the second power is less than the rated active power of the energy storage system.

2. The method of claim 1, wherein, When the difference between the first power and the second power is less than the rated active power of the energy storage system, controlling the energy storage system to charge or discharge includes: When the first power is greater than the second power, controlling the energy storage system to charge; When the first power is less than the second power, the energy storage system is controlled to discharge.

3. The method according to claim 1 or 2, characterized in that, When the difference between the first power and the second power is greater than the rated active power of the energy storage system, controlling the energy storage system and the power storage system to charge or discharge together includes: If the first power is greater than the second power, controlling the energy storage system and the power storage system to charge; If the first power is less than the second power, the energy-type energy storage system and the power-type energy storage system are controlled to discharge.

4. The method of claim 3, wherein, Also includes: When the difference between the first power and the second power is greater than the sum of the rated active powers of the energy-type energy storage system and the power-type energy storage system, and the active power of the wind farm is greater than a preset threshold, the active power of the wind farm is reduced.

5. The method of claim 1, wherein, The method further comprises: If the wind farm has a primary frequency regulation requirement and / or inertia response requirement, The power-type energy storage system is then charged or discharged according to corresponding needs.

6. The method according to claim 5, characterized in that When the frequency change value deviation of the wind farm is outside a first preset frequency range, it is determined that the wind farm has a primary frequency regulation demand.

7. The method according to claim 5, characterized in that When the frequency change rate of the wind farm is outside a second preset frequency range, it is determined that the wind farm has an inertia response requirement.

8. The method of claim 6, wherein, The power-type energy storage system participates in primary frequency regulation by charging or discharging, including: When the frequency change value deviation of the wind farm is greater than the upper limit of the first preset frequency range, controlling the power type energy storage system to charge; When the frequency change value deviation of the wind farm is less than the lower limit of the first preset frequency range, the power-type energy storage system is controlled to discharge.

9. The method of claim 7, wherein, The power-type energy storage system participates in inertia response through charging or discharging, comprising: When the frequency change rate of the wind farm is greater than the upper limit of the second preset frequency range, the power-type energy storage system is controlled to charge; When the frequency change rate of the wind farm is less than the lower limit of the second preset frequency range, the power-type energy storage system is controlled to discharge.

10. A wind storage cooperative tracking power generation device, characterized by, The device comprises: An acquisition module is configured to acquire a first power and a second power of a wind farm, the first power being an actual power of the wind farm at a current time, and the second power being a predicted power generation of the wind farm at the current time; A judgment module is configured to judge whether a difference between the first power and the second power is greater than a rated active power of an energy-type energy storage system; A first control module is configured to, when the difference between the first power and the second power is less than the rated active power of the energy-type energy storage system, control the energy-type energy storage system to charge or discharge according to the predicted power generation and the actual power; A second control module is configured to, when the difference between the first power and the second power is greater than the rated active power of the energy-type energy storage system, control the energy-type energy storage system and a power-type energy storage system to jointly charge or discharge according to the predicted power generation and the actual power; The minimum capacity of the energy-type energy storage system is determined in the following manner: The maximum total charging energy of the energy storage system, max|E, is calculated based on the positive deviation curve of the wind farm's historical daily ultra-short-term wind power forecast within the preset time period. n_c’ |Minimum total charging energy value of energy storage system min|E n_c’ |, and the maximum total discharge energy of the energy storage system max|E calculated from the negative deviation curve of the wind farm's historical daily ultra-short-term wind power forecast n_d’ |Minimum total discharge energy of energy storage system min|E n_d’ |; Calculate the minimum capacity required for the energy storage system: E bess_cd’ = max |E n_c’ | - min |E n_d’ | E bess_dc’ = max |E n_d’ | - min |E n_c’ | Comparison E bess_cd’ and E bess_dc’ , if E bess_cd’ > E bess_dc’ , the minimum capacity of the energy type energy storage system configuration is E bess_cd’ ; if E bess_cd’ < E bess_dc’ , the minimum capacity of the energy type energy storage system configuration is E bess_dc’ ; The total charging energy of the energy-type energy storage system is determined based on the total time length during which the difference between the first power and the second power is less than the rated active power of the energy-type energy storage system and the difference size when the difference between the first power and the second power is less than the rated active power of the energy-type energy storage system.

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