Wind power active power coordination control method and device

Abstract

The invention discloses a wind power active power coordination control method and device. The wind power active power coordination control method comprises the following steps: acquiring parameters of each wind turbine generator set, and acquiring a load prediction value and a wind power prediction value of each wind turbine generator set in real time; in the first dispatching stage, a power generation plan is compiled according to the parameters, the short-term load predicted values and the short-term wind power predicted values of all the wind power units, active power distribution is carried out on all the wind power units according to the power generation plan, and power generation tasks of all the wind power units are obtained; in the second scheduling stage, according to the real-time ultra-short-term load prediction value and the error value of the short-term load prediction value of each wind turbine generator set and the error value of the ultra-short-term wind power prediction value and the short-term wind power prediction value, the deviation value of the power generation plan is determined; and the deviation value of the power generation plan is adjusted through the cluster included in the automatic power generation control system. The wind power utilization rate can be increased, wind curtailment is reduced, economical efficiency is improved, and reasonable allocation of resources is achieved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of power grid optimization and dispatching, and in particular to a method and device for coordinated control of wind power active power. Background Art

[0002] With the current development of wind power energy, wind power is connected to the power grid on a large scale and in a centralized manner. Conventional active power dispatching and control methods are difficult to adapt to the development needs of wind power.

[0003] Against the background of rapid development of energy interconnection and artificial intelligence technology, wind power active power control should be closely integrated with data acquisition and monitoring technology, information transmission and management technology, computer technology, etc. At the same time, reasonable wind power active power optimization control strategies should be studied to improve wind power utilization, reduce wind power abandonment, improve economic efficiency, and achieve rational allocation of resources.

[0004] Existing research on energy internet and new energy power mainly focuses on physical technology, information technology and other aspects. There is little discussion on the coordinated dispatching of energy internet and renewable energy such as wind power, active power control and other aspects. In addition, research on wind power is concentrated on a certain stage of the wind power dispatching process, such as output distribution, participation in frequency regulation, etc. There are few optimization methods for wind power active power control process, which makes it difficult to adapt to the development needs of wind power. Summary of the invention

[0005] The present invention provides a wind power active power coordinated control method and device to provide a more reasonable wind power active power optimization control strategy, thereby improving wind power utilization, reducing wind abandonment, improving economy, and achieving reasonable allocation of resources.

[0006] In a first aspect, an embodiment of the present invention provides a method for coordinated control of wind power active power, the method comprising:

[0007] Obtaining parameters of each wind turbine set, and obtaining load forecast values ​​and wind power forecast values ​​of each wind turbine set in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value;

[0008] In the first scheduling stage, a power generation plan is prepared according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and active power is allocated to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine;

[0009] In the second scheduling stage, the deviation of the power generation plan is determined based on the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value, as well as the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value of each wind turbine, and the deviation of the power generation plan is adjusted through the cluster included in the automatic power generation control system, wherein the cluster includes the wind turbines.

[0010] In a second aspect, an embodiment of the present invention further provides a wind power active power coordination control device, which is used to execute the wind power active power coordination control method of any embodiment of the present invention, and the device includes: the wind power active power coordination control device includes:

[0011] An acquisition module is used to acquire the parameters of each wind turbine set, and acquire the load forecast value and wind power forecast value of each wind turbine set in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value;

[0012] A first scheduling module is used to prepare a power generation plan in a first scheduling stage according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and to allocate active power to each wind turbine according to the power generation plan to obtain a power generation task for each wind turbine;

[0013] The second scheduling module is used to determine the deviation of the power generation plan in the second scheduling stage based on the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value, as well as the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value of each wind turbine, and adjust the deviation of the power generation plan through the cluster included in the automatic power generation control system, wherein the cluster includes the wind turbine.

[0014] The present invention provides a wind power active power coordinated control method and device, which obtains the parameters of each wind turbine group and the load forecast value and wind power forecast value of each wind turbine group in real time; in the first scheduling stage, a power generation plan is compiled according to the parameters, short-term load forecast value and short-term wind power forecast value of each wind turbine group, and active power is allocated to each wind turbine group according to the power generation plan to obtain the power generation task of each wind turbine group, thereby completing the day-ahead / day-intraday scheduling; in the second scheduling stage, the deviation of the power generation plan is determined according to the error value of the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine group, as well as the error value of the ultra-short-term wind power forecast value and the short-term wind power forecast value, and the deviation of the power generation plan is adjusted by the machine group included in the automatic power generation control system, so as to realize the coordinated cooperation of the machine group included in the automatic power generation control system, jointly bear the capacity that needs to be adjusted based on the power generation plan, and reserve adjustment space for the automatic power generation control system to cope with the sudden situation of the system, thereby improving the reliability of the coordinated control process. The technical solution of the embodiment of the present invention allocates the active power of the wind turbine according to the power generation plan in the first scheduling stage, determines the deviation of the power generation plan in the second scheduling stage, and adjusts the deviation of the power generation plan in real time through the automatic power generation control system including the wind turbine. By providing a more reasonable wind power active power optimization control strategy, the utilization rate of wind power is improved, the wind curtailment is reduced, the economy is improved, and the reasonable allocation of resources is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flow chart of a wind power active power coordinated control method provided by an embodiment of the present invention;

[0016] Figure 2 A flow chart of another wind power active power coordinated control method provided by an embodiment of the present invention;

[0017] Figure 3 A flow chart of an active power allocation strategy provided by an embodiment of the present invention;

[0018] Figure 4 A flow chart of another wind power active power coordinated control method provided by an embodiment of the present invention;

[0019] Figure 5 A flow chart of another wind power active power coordinated control method provided by an embodiment of the present invention;

[0020] Figure 6 A schematic diagram of a short-term load forecasting sequence and an ultra-short-term load forecasting sequence for a wind turbine generator system provided by an embodiment of the present invention;

[0021] Figure 7A schematic diagram of a short-term wind power prediction sequence and an ultra-short-term wind power prediction sequence for a wind turbine provided by an embodiment of the present invention;

[0022] Figure 8 A schematic diagram of a unit power generation plan provided by a dispatching master station according to an embodiment of the present invention;

[0023] Fig. 9 A schematic diagram of the start and stop of units and the power generation plan arrangement in a wind farm provided by an embodiment of the present invention;

[0024] Fig.10 A schematic diagram of the comparison results of evaluation indicators provided by an embodiment of the present invention;

[0025] Fig.11 A schematic diagram of active power arrangement of various types of units after adjustment provided by an embodiment of the present invention;

[0026] Fig.12 A schematic diagram of the output adjustment amount of a wind farm in the real-time scheduling stage provided by an embodiment of the present invention;

[0027] Fig.13 The figure is a schematic diagram of the structure of a wind power active power coordination control device in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0029] Energy Internet uses technologies such as big data, artificial intelligence, and the Internet of Things to intelligently manage and coordinate the optimization of various links such as energy production, transmission, storage, and consumption. Energy Internet integrates various resources in the traditional energy system into a flexible and efficient system to achieve sustainable development of energy. The development of Energy Internet further promotes the development and utilization of renewable energy such as wind energy resources, which greatly meets the needs of future energy development. With the implementation of the energy development concept of "two substitutions" of clean substitution and electric substitution, wind power, as an important way to promote the development of renewable energy, has a considerable construction scale in the distribution network.

[0030] With the large-scale and centralized access to the power grid, conventional active power dispatching and control methods are difficult to adapt to the development needs of wind power. In the context of the rapid development of energy interconnection and artificial intelligence technology, wind power active power control should be closely integrated with data acquisition and monitoring technology, information transmission and management technology, computer technology, etc. At the same time, a reasonable wind power active power optimization control strategy should be studied, which is conducive to improving wind power utilization, reducing wind power abandonment, improving economic efficiency, and realizing the rational allocation of resources.

[0031] The existing literature on energy internet and new energy power mainly focuses on physical technology, information technology and other aspects, and there are few discussions on the coordinated dispatch of energy internet and renewable energy such as wind power, active power control and other aspects. Wind power active power control under the background of energy internet development emphasizes two characteristics: one is openness. That is, the integration of energy system and information system. This is due to the development of information and communication technology, energy internet standard protocols and energy routers and other equipment; the second is integration. That is, the transformation from the control of a single energy unit to the coordinated dispatch and optimization of multiple energy forms. The research of existing literature focuses on a certain stage of the wind power dispatch process, such as output distribution and participation in frequency regulation. On the one hand, the integration and openness characteristics under the background of energy internet are not reflected enough, and on the other hand, there are few optimization methods for the wind power active power control process.

[0032] To solve the above existing technical problems, an embodiment of the present invention provides a wind power active power coordinated control method, which is applicable to the application scenario of active power coordinated control of wind turbines. The method can be executed by a wind power active power coordinated control device, which can be implemented in the form of hardware and / or software. Figure 1 A flow chart of a wind power active power coordinated control method provided by an embodiment of the present invention, such as Figure 1 As shown, the wind power active power coordinated control method includes:

[0033] S110. Obtain parameters of each wind turbine set, and obtain load forecast values ​​and wind power forecast values ​​of each wind turbine set in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value.

[0034] Among them, the wind power active power control framework can adopt a three-level hierarchical structure, including the dispatching master station, the control substation and the wind farm control layer. The wind turbines in the wind farm control layer upload the wind turbine information to the control substation through the information collection and monitoring system. The parameters of the wind turbines can include the active and reactive power, voltage, current, installed capacity, maximum tracking power, start and stop status and other information of the wind turbines; the control substation counts the operation of the wind farm and uploads it to the dispatching master station. The dispatching master station predicts the load forecast value and wind power forecast value of each wind turbine based on the operation status of the wind farm and various power sources, the numerical weather forecast provided by the information collection system and the information network, formulates the control strategy according to the load forecast value and wind power forecast value of each wind turbine, and sends the dispatching instructions to the substation layer. The wind farm control substation receives the issued active power instructions and distributes the active power tasks required by the instructions. Finally, each wind turbine obtains the start and stop, active power reference value and other operation instructions.

[0035] Specifically, the parameters of each wind turbine can be obtained through the wind farm control layer of each wind turbine. The load forecast value and wind power forecast value of each wind turbine can be obtained through numerical weather forecast prediction based on the operating conditions of the wind farm and various power sources, information collection systems and information networks. The load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value. The wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value. The short-term time length is greater than the ultra-short-term time length. Exemplarily, the short-term is the first time length, and the ultra-short-term is the second time length. The first time length is greater than the second time length. The short-term load forecast value is the load forecast value of the first time length of the wind turbine, and the ultra-short-term load forecast value is the load forecast value of the second time length of the wind turbine. Similarly, the short-term wind power forecast value is the wind power forecast value of the first time length of the wind turbine, and the ultra-short-term wind power forecast value is the wind power forecast value of the second time length of the wind turbine. In addition, the short-term load forecast value and the ultra-short-term load forecast value are obtained based on the operating conditions and weather forecasts of wind turbines of different time lengths, and the short-term wind power forecast value and the ultra-short-term wind power forecast value are also obtained based on the operating conditions and weather forecasts of wind turbines of different time lengths. By obtaining various types of data, data support is provided for the scheduling of the first and second scheduling stages.

[0036] S120. In the first dispatching stage, a power generation plan is prepared according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and active power is allocated to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine.

[0037] Specifically, the first scheduling stage refers to the day-ahead / day-intraday scheduling stage of wind turbines. A power generation plan can be prepared according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value. The power generation plan can be the total power generation of the wind farm where all wind turbines are located. According to the power generation plan, active power can be allocated to each wind turbine to obtain the power generation task of each wind turbine. Traditional active power allocation strategies include: average allocation, allocation according to installed capacity, allocation based on planned values, etc. Optionally, in the embodiment of the present invention, active power can be optimized with the goal of a small overall output change rate of wind farm units during the scheduling cycle. In addition, based on the preparation of a power generation plan based on the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value of each wind turbine, and the active power of each wind turbine is allocated according to the power generation plan, the power generation task of each wind turbine is obtained, thereby completing the day-ahead / day-intraday scheduling of wind turbines, which is conducive to smoothing the volatility of the output of a single wind turbine and reserving space for subsequent real-time scheduling.

[0038] S130. In the second scheduling stage, the deviation of the power generation plan is determined based on the error between the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine, as well as the error between the ultra-short-term wind power forecast value and the short-term wind power forecast value, and the deviation of the power generation plan is adjusted through the fleet included in the automatic power generation control system, where the fleet includes wind turbines.

[0039] Among them, the automatic generation control system (AGC) is an important function in the energy management system EMS. It controls the output of the frequency modulation unit to meet the ever-changing power needs of users and keep the system in an economical operating state. AGC is a system that adjusts the active output of multiple generators in different power plants in the power system to respond to load changes. Power supplies with fast regulation rates and high regulation accuracy can help the power grid achieve AGC control goals more efficiently. The AGC frequency modulation function is mainly provided by conventional power supplies including hydropower, gas units and thermal power units. The automatic generation control system in the embodiment of the present invention includes wind turbines in the machine group, and the second scheduling stage can be called the real-time scheduling / AGC coordination stage. In this stage, the power of the machine group included in the automatic generation control system can be further adjusted, and the power generation plan of each wind turbine is also adjusted.

[0040] Specifically, in the second dispatching stage, the deviation of the power generation plan can be determined according to the error between the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine, as well as the error between the ultra-short-term wind power forecast value and the short-term wind power forecast value. In the process of adjusting the deviation of the power generation plan through the group included in the automatic power generation control system, the real-time dispatching unit and the AGC unit can be coordinated and cooperated to jointly bear the capacity that needs to be adjusted based on the power generation plan. The wind power active control in this stage refers to: the dispatching master station decomposes the adjustment process and determines the adjustment group; by optimizing the coordinated dispatching of the wind farm with thermal power and hydropower, the active adjustment amount of the wind farm is determined, the output and frequency regulation pressure of the AGC are reduced, and the coordination of the real-time dispatching and the AGC units is coordinated. By adjusting the deviation of the power generation plan through the group included in the automatic power generation control system, the coordination of the group included in the automatic power generation control system can be achieved, and the capacity that needs to be adjusted based on the power generation plan can be jointly assumed. At the same time, the adjustment space is reserved for the automatic power generation control system to cope with the sudden situation of the system, and the reliability of the coordinated control process is improved. In addition, a more reasonable wind power active power optimization control strategy is provided. The active power distribution of wind turbines is completed in the first scheduling stage. In the second scheduling stage, the deviation of the power generation plan is adjusted by the fleet included in the automatic power generation control system, thereby improving the utilization rate of wind power, reducing wind abandonment, improving economy, and realizing the rational allocation of resources.

[0041] The embodiment of the present invention provides a wind power active power coordinated control method, which obtains the parameters of each wind turbine group and obtains the load forecast value and wind power forecast value of each wind turbine group in real time; in the first scheduling stage, a power generation plan is compiled according to the parameters, short-term load forecast value and short-term wind power forecast value of each wind turbine group, and active power is allocated to each wind turbine group according to the power generation plan to obtain the power generation task of each wind turbine group; in the second scheduling stage, the deviation of the power generation plan is determined according to the error value of the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine group, and the error value of the ultra-short-term wind power forecast value and the short-term wind power forecast value, and the deviation of the power generation plan is adjusted by the group included in the automatic power generation control system, so as to realize the coordination and cooperation of the group included in the automatic power generation control system, jointly bear the capacity that needs to be adjusted based on the power generation plan, and reserve adjustment space for the automatic power generation control system to cope with the sudden situation of the system, thereby improving the reliability of the coordinated control process. The technical solution of the embodiment of the present invention allocates the active power of the wind turbine according to the power generation plan in the first scheduling stage, determines the deviation of the power generation plan in the second scheduling stage, and adjusts the deviation of the power generation plan in real time through the automatic power generation control system including the wind turbine. By providing a more reasonable wind power active power optimization control strategy, the utilization rate of wind power is improved, the wind curtailment is reduced, the economy is improved, and the reasonable allocation of resources is achieved.

[0042] The embodiment of the present invention further provides another wind power active power coordinated control method. The embodiment of the present invention is based on the above embodiment, thereby providing a more reasonable wind power active power optimization control strategy. Figure 2 A flow chart of another wind power active power coordinated control method provided by an embodiment of the present invention, such as Figure 2 As shown,

[0043] S210. Obtain the power flow limit of the transmission line of each wind turbine and the rotating reserve capacity of the wind turbine; obtain the parameters of each wind turbine, and obtain the load forecast value and wind power forecast value of each wind turbine in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value.

[0044] Specifically, by obtaining the power flow limit of the transmission line of each wind turbine and the spinning reserve capacity of the wind turbine, a power allocation optimization model and corresponding evaluation indicators are given in the first scheduling stage.

[0045] S220. In the first dispatching stage, a power generation plan is prepared according to the parameters of each wind turbine unit, the short-term load forecast value and the short-term wind power forecast value.

[0046] S230: Determine whether the power generation plan at any time satisfies the power flow restriction of the transmission line of the wind turbine generator set.

[0047] Specifically, judging whether the power generation plan at any time meets the power flow restriction of the transmission line of the wind turbine generator includes:

[0048] The power generation plan of the wind turbine at time t is The following formula is used to determine whether the power generation plan at any time meets the power flow restrictions of the wind turbine transmission line;

[0049]

[0050] in, It is the limit transmission capacity of the transmission line of the wind turbine.

[0051] S240. If not, adjust the power generation plan according to the power flow restriction of the transmission line of the wind turbine generator set; if satisfied, do not adjust the power generation plan.

[0052] Specifically, if the conditions are not met, the power generation plan is adjusted according to the power flow restrictions of the wind turbine transmission line, including:

[0053] If the power generation plan of the wind turbine at time t If the power flow restriction of the wind turbine transmission line is not met, the power generation plan of the wind turbine at time t is set to meet:

[0054]

[0055] S250: Determine whether the power generation plan at any time satisfies the wind energy consumption limit of the spinning reserve capacity of the wind turbine generator.

[0056] Specifically, judging whether the power generation plan at any time meets the wind energy consumption limit of the spinning reserve capacity of the wind turbine generator includes:

[0057] The following formula is used to determine whether the power generation plan at any time meets the wind energy consumption limit of the spinning reserve capacity of the wind turbine;

[0058]

[0059] Among them, P Rotor is the spinning reserve capacity of the wind turbine, and α is the safety factor.

[0060] S260: If not, adjust the power generation plan according to the spinning reserve capacity of the wind turbine generator set; if satisfied, do not adjust the power generation plan.

[0061] Specifically, if it is not met, the power generation plan will be adjusted according to the spinning reserve capacity of the wind turbines, including:

[0062] If the power generation plan of the wind turbine at time t If the wind energy consumption limit of the spinning reserve capacity of the wind turbine is not met, the power generation plan of the wind turbine at time t is set to meet:

[0063]

[0064] Among them, P Rotor is the spinning reserve capacity of the wind turbine, and α is the safety factor.

[0065] Optionally, α can take a value between 0.1 and 0.3.

[0066] S270, allocating active power to each wind turbine generator set according to the power generation plan to obtain a power generation task for each wind turbine generator set.

[0067] Specifically, based on the known wind farm power generation plan, the active power distribution strategy of the wind turbines is determined. Traditional distribution strategies include: average distribution, distribution according to installed capacity, distribution based on planned values, etc. The embodiment of the present invention proposes an optimized control strategy for the output distribution of wind turbines, which optimizes the active power with the goal of reducing the overall output change rate of the wind farm units within the scheduling cycle. Such a power generation strategy is conducive to smoothing the volatility of the output of a single wind turbine and reserving space for subsequent real-time scheduling.

[0068] Furthermore, the embodiment of the present invention proposes an optimization control strategy for wind turbine output distribution, including the following strategies. Each wind turbine is divided into two types: variable pitch wind turbine and fixed pitch wind turbine. Active power is distributed to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine, including:

[0069] According to the power generation plan, active power is allocated to each variable-pitch wind turbine and each fixed-pitch wind turbine, and the active power of each variable-pitch wind turbine and each fixed-pitch wind turbine is adjusted with the goal of minimizing the overall output change rate of each wind turbine unit during the scheduling period to obtain the power generation task of each wind turbine unit.

[0070] Among them, the active power of the variable-pitch unit has a certain adjustment capability; the fixed-pitch unit does not have the adjustment capability.

[0071] Specifically, the active power of each variable-pitch wind turbine and the active power of each fixed-pitch wind turbine are adjusted with the goal of minimizing the overall output change rate of each wind turbine during the scheduling period to obtain the power generation task of each wind turbine. This is conducive to smoothing the volatility of the output of a single wind turbine and reserving space for subsequent real-time scheduling.

[0072] Furthermore, Figure 3 A flow chart of an active power allocation strategy provided by an embodiment of the present invention, such as Figure 3 As shown, active power is distributed to each variable-pitch wind turbine and each fixed-pitch wind turbine according to the power generation plan, including:

[0073] S310: Establish an active power distribution model according to the number, start / stop time and scheduling cycle of each variable-pitch wind turbine and each fixed-pitch wind turbine, as well as the capacity upper limit and maximum power change rate of the variable-pitch wind turbine.

[0074] By recording the active power of variable pitch fan i at time t as The active power of fixed-pitch fan j is The active power distribution model is as follows:

[0075]

[0076]

[0077] [UT i (t-1)-MUT i ][u i (t-1)-u i (t)]≥0

[0078] [DT i (t-1)-MDT i ][u i (t)-u i (t-1)]≥0;

[0079] In the formula, is the start / stop status of variable-pitch fan i and fixed-pitch fan j at time t, starting when it is 1 and stopping when it is 0; is the upper limit of the capacity of variable pitch wind turbine i, is the maximum power change rate allowed by the variable pitch wind turbine (within the Δt time interval); both types of wind turbines must meet the start and stop time constraints of the above formula. i (t-1), DT i (t-1) corresponds to the time from the last power-on to the latest power-off, and from the last power-off to the latest power-on, MUT i 、MDT i is the minimum start and stop time of the unit; N vp 、N fp are the numbers of variable-pitch wind turbines and fixed-pitch wind turbines in the wind farm where each wind turbine is located, and T is the scheduling period.

[0080] It should be noted that the above-mentioned active power distribution model is implemented by programming with MATLAB. The above-mentioned active power distribution model is established in MATLAB software, and system parameters and preset initial values ​​are input. The preset initial values ​​may include a scheduling cycle, a prediction resolution unit power condition range, etc.

[0081] S320, performing active power distribution for each variable-pitch wind turbine and each fixed-pitch wind turbine according to the active power distribution model and the power generation plan.

[0082] Specifically, active power distribution can be performed on each variable-pitch fan and each fixed-pitch fan according to the active power distribution model to obtain the active power of each variable-pitch fan and each fixed-pitch fan, so that each variable-pitch fan and each fixed-pitch fan finally obtains operation instructions such as start and stop, active reference value, etc.

[0083] The embodiment of the present invention further evaluates the rationality of the power allocation strategy through the following indicators, and after obtaining the power generation task of each wind turbine generator set, further includes:

[0084] According to the active power of each variable-pitch wind turbine and the active power of the fixed-pitch wind turbine, the power change degree of each wind turbine unit, the average load rate of the wind turbine units in the power generation state, the unit ratio of the wind turbine units in the power generation state and the real-time increase margin of the wind turbine unit output are calculated.

[0085] Specifically, the fluctuation rate VR can be used to represent the power variation degree of the wind turbine, the load rate LR can be used to represent the average load rate of the wind turbine in the power generation state, and the utilization rate UR can be used to represent the unit ratio of the wind turbine in the power generation state.

[0086] Volatility VR satisfies:

[0087]

[0088] The load ratio LR satisfies:

[0089]

[0090] The utilization rate UR meets:

[0091]

[0092] Among them, A and B are both intermediate coefficients, which can be obtained by calculation. Reducing the output of the wind farm can be achieved by shutting down the units. The upward adjustment margin evaluates the space for the wind farm to adjust the output upward in real time. The real-time upward adjustment margin MR of the wind turbine output satisfies:

[0093]

[0094] Theoretically, the smaller the volatility, the greater the load factor, the higher the utilization rate, and the larger the power generation margin, the better the allocation strategy. Any allocation strategy can only coordinate these indicators as much as possible and cannot optimize all of the above indicators at the same time.

[0095] According to the power change degree of each wind turbine, the average load rate of the wind turbines in the power generation state, the unit ratio of the wind turbines in the power generation state and the output of the wind turbines, the margin is assessed and the power generation task is adjusted in real time.

[0096] Specifically, the power generation task is evaluated and adjusted by adjusting the margin in real time according to the power change degree of each wind turbine, the average load rate of wind turbines in power generation, the unit ratio of wind turbines in power generation and the output of wind turbines. The smaller the volatility, the greater the load rate, the higher the utilization rate and the larger the power generation margin, the better the allocation strategy. Any allocation strategy can only coordinate these indicators as much as possible and cannot optimize all of the above indicators at the same time.

[0097] The embodiment of the present invention further provides another wind power active power coordinated control method. The wind power active power coordinated control method of the embodiment of the present invention further refines the second scheduling stage on the basis of the above embodiment to achieve reasonable allocation of resources. Figure 4 A flow chart of another wind power active power coordinated control method provided by an embodiment of the present invention is as follows: Figure 4 As shown, the wind power active power coordinated control method includes:

[0098] S410. Obtain parameters of each wind turbine set, and obtain load forecast values ​​and wind power forecast values ​​of each wind turbine set in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value.

[0099] S420. In the first dispatching stage, a power generation plan is prepared according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and active power is allocated to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine.

[0100] S430. According to the error values ​​between the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine unit, and the error values ​​between the ultra-short-term wind power forecast value and the short-term wind power forecast value, the total active power to be adjusted in the computer group is used as the deviation of the power generation plan.

[0101] Optionally, the total active power to be adjusted in the cluster satisfies:

[0102] P ad (t) = ΔP T +ΔP L -ΔP W ;

[0103] Among them, P ad (t) is the total active power that needs to be adjusted in the group at time t, ΔP T is the deviation between the exchange power of the interconnection line of the wind turbine and the planned value; ΔP L is the deviation between the ultra-short-term load forecast value and the short-term load forecast value; ΔP W It is the deviation between the ultra-short-term wind power forecast value and the short-term wind power forecast value.

[0104] The power generation plan is adjusted according to the real-time ultra-short-term load forecast value and the error value of the short-term load forecast value of each wind turbine. At the same time, in order to reduce the output and frequency regulation pressure of the AGC, the real-time scheduling and AGC units should be coordinated. The traditional real-time scheduling and AGC coordination mode is: some AGC units are drawn to participate in the real-time power generation plan issued separately, and the remaining AGC units execute the control instructions of the AGC system. The embodiment of the present invention decomposes the adjustment process, and the adjustment process is completed by various units in collaboration. At the same time, adjustment space is reserved for the AGC to deal with emergencies in the system.

[0105] S440. The fleet is divided into three categories: priority regulation fleet, common regulation fleet and fleet without regulation capability.

[0106] Optionally, the fleet is divided into three categories: priority regulation fleet, common regulation fleet and fleet without regulation capability; among them, the priority regulation fleet includes pumped storage units, medium-temperature and medium-pressure thermal power units, steam power units and automatic generation control units (AGC units); the common regulation fleet includes interconnection line power exchange units, high-temperature and high-pressure thermal power units and wind power units; the fleet without regulation capability includes inferior coal-fired power units and nuclear power units.

[0107] S450: Determine whether the total active power to be adjusted in the cluster is lower than the adjustment threshold of the priority adjustment cluster.

[0108] Specifically, based on the installed capacity of each type of cluster, the priority cluster adjustment threshold P is set. pri By judging whether the total active power to be adjusted is lower than the adjustment threshold of the priority adjustment group, the group that needs to be adjusted is judged.

[0109] S460. If not, the total active power that needs to be adjusted in the group is adjusted by the priority adjustment group and the common adjustment group, and the adjustment power of each wind turbine group is determined, and the deviation of the power generation plan of each wind turbine group is adjusted according to the adjustment power of each wind turbine group; if yes, the total active power that needs to be adjusted in the group is adjusted by the priority adjustment group.

[0110] If the total active power to be adjusted in the group is lower than the adjustment threshold of the priority adjustment group, the total active power to be adjusted in the group will be adjusted by the priority adjustment group. ad (t)≤P pri When , the deviation is all adjusted by the priority adjustment group. The adjustment strategy is explained by taking the need to increase the output as an example. With the goal of optimal economic performance, the power adjustment of various groups in the priority adjustment group satisfies the following model:

[0111]

[0112] In the formula, is the adjusted power of the pumped storage unit, It is the adjusted power of the medium-temperature medium-pressure thermal power unit. is the power of the AGC unit. is the equivalent pumped storage generation cost: c ps is the equivalent unit electricity generation cost, The power generation efficiency of the pumped storage unit; Planned power generation for medium temperature and medium pressure units The consumption increase rate at the location; β is the artificially set AGC unit power generation cost. Properly increasing the value of β is conducive to reducing the investment of AGC units (in fact, AGC units are often in a spinning standby state), thereby reserving the adjustment space of AGC units as much as possible. ps 、N mt 、N AGC They are the number of pumped storage units, medium-temperature and medium-pressure thermal power units and AGC units.

[0113] The constraints that need to be met include the following:

[0114] a. Pumped storage unit

[0115] Adjust the power within the limit:

[0116]

[0117] In the formula, is the upper power limit of unit i, is the planned power generation, It is the maximum power increase within the Δt time interval.

[0118] In order to reflect the priority of the unit participating in the coordinated control, the unit's output interval is multiplied by the priority coefficient λ. Taking the output adjustment as an example, the following should be met:

[0119] λ ps >λ mt >λ sp >λ AGC ;

[0120] λ W >λ T >λ ht ;

[0121] In the formula, λ ps , mt , sp , AGC They are the priority coefficients of the priority regulation group pumped storage, medium-temperature and medium-pressure thermal power, gas-fired power units, and AGC units; W , T , ht They are the priority coefficients of wind turbines in ordinary regulation groups, transmission line exchange power and high-temperature and high-pressure thermal power, and the coefficients are numbers between 0 and 1.

[0122] Water volume change relationship and water volume upper and lower limit constraints:

[0123]

[0124] In the formula, S ps (t) is the water volume of the pumped storage power station at time t, Refers to the change in water volume caused by the unit's power generation during this period. These are the lower and upper limits of the amount of water allowed.

[0125] b. Medium temperature and medium pressure thermal power unit

[0126]

[0127] In the formula, is the upper limit of the power of medium-temperature medium-pressure unit i, is the planned power generation, It is the maximum power increase within the Δt time interval.

[0128] c. Steam generator set

[0129] The steam generator sets adopt a two-shift output mode. A certain adjustment space is reserved so that the load rate of the two-shift sets during the day and night is consistent with the load rate of the entire system:

[0130]

[0131] In the formula, Δr load It is the system load factor correction calculated based on the ultra-short-term load forecast results. It is the upper limit of the power of the steam generator set.

[0132] d.AGC unit

[0133]

[0134] In the formula, is the upper power limit of AGC unit i, It is the maximum power increase within the Δt time interval.

[0135] e. Balance constraints

[0136]

[0137] Through the above constraints, it can be ensured that the adjusted power of the pumped storage units, medium-temperature and medium-pressure thermal power units, steam power units and AGC units in the priority adjustment group does not exceed the power upper limit, and the total adjusted power of the priority adjustment group does not exceed the total active power that needs to be adjusted in the group, thereby realizing the coordinated control of each unit in the priority adjustment group and further realizing the rational allocation of resources.

[0138] If the total active power to be adjusted in the group is higher than the adjustment threshold of the priority adjustment group, the total active power to be adjusted in the group will be adjusted by the priority adjustment group. ad (t)>P pri When , the priority adjustment group and the common adjustment group work together to complete the adjustment task. At this time, the balance constraint formula is corrected to:

[0139]

[0140] In the formula, is the switching power adjustment on the tie line, It is the adjusted power of high temperature and high pressure thermal power units. is the adjusted power of the variable-pitch wind turbine. When the fixed-pitch unit i is shut down during the day-ahead / day-intraday scheduling and started during the real-time scheduling phase, The value of is 1, otherwise it is 0.

[0141] At the same time, the following conditions must also be met:

[0142]

[0143] In the formula, is the maximum switching power allowed by the tie line, is the upper power limit of high-temperature and high-pressure unit i, is the planned power generation, It is the maximum power increase within the Δt time interval.

[0144] Through the above formula, the total active power that needs to be adjusted in the group is adjusted by the priority adjustment group and the common adjustment group, and the adjustment power of each wind turbine is determined, so that the power generation plan of each wind turbine is adjusted according to the adjustment power of each wind turbine, and the priority adjustment group and the common adjustment group are adjusted at the same time, and the power generation plan of each wind turbine is adjusted. In the process of adjusting the deviation of the power generation plan by the group included in the automatic power generation control system, the above formula and steps are used to achieve the coordination and cooperation of the group included in the automatic power generation control system, and jointly bear the capacity that needs to be adjusted based on the power generation plan. At the same time, the adjustment space is reserved for the automatic power generation control system to deal with the sudden situation of the system, improve the reliability of the coordinated control process, provide a more reasonable wind power active power optimization control strategy, complete the active power distribution of the wind turbine through the first scheduling stage, and adjust the deviation of the power generation plan through the group included in the automatic power generation control system in the second scheduling stage, so as to improve the utilization rate of wind power, reduce wind abandonment, improve economy, and realize the reasonable allocation of resources.

[0145] In addition, in the embodiment of the present invention, the AGC unit load rate is specifically used to evaluate the effectiveness of the coordinated control strategy, evaluate the space reserved by the AGC unit, and characterize the ability to cope with the system power and frequency regulation requirements. The smaller the load rate, the greater the margin and the higher the reliability.

[0146] It should be noted that Matlab is used as programming software for calculation in the embodiment of the present invention, and the steps mainly include establishing system parameters, checking restriction conditions, establishing power allocation strategy, establishing joint dispatching strategy, building dispatching model, programming calculation, and finally obtaining calculation results through the program. The method of the embodiment of the present invention can effectively combine wind power active power control with data acquisition and monitoring, information transmission and management, computer and other technologies in the context of energy Internet, and effectively optimize wind power active power control strategy. The invention results are conducive to improving wind power utilization, reducing wind abandonment, improving economy, and realizing rational allocation of resources, which plays an important role in supporting the construction and implementation of new power systems in the future.

[0147] In the embodiment of the present invention, the dispatching control result can also be obtained by computer calculation, and the corresponding power generation plan curve can be output, so as to more intuitively determine the power generation plan of the group and the wind turbine group included.

[0148] In order to further illustrate the scheduling process of the first scheduling stage and the second scheduling stage in the wind power active power coordinated control method provided by the embodiment of the present invention, Figure 5 A flow chart of another method for coordinated control of wind power active power is provided for an embodiment of the present invention. In the embodiment of the present invention, multiple wind turbines are located in a wind farm. The wind turbines are referred to as wind turbines. The active power control of wind power in coordination with thermal power and hydropower is divided into two stages: a day-ahead / intraday scheduling stage and a real-time scheduling / AGC coordination stage. The day-ahead / intraday scheduling stage corresponds to the first scheduling stage, and the real-time scheduling / AGC coordination stage corresponds to the second scheduling stage.

[0149] Among them, the wind power active power control framework adopts a three-level hierarchical structure, including the dispatching master station, control substation and wind farm control layer. The wind turbines in the wind farm control layer upload wind turbine information to the control substation through the information collection and monitoring system, including the active and reactive power, voltage, current, installed capacity, maximum tracking power, start and stop status and other information of the wind turbines; the control substation counts the operation status of the wind farm and uploads it to the dispatching master station. The dispatching master station formulates control strategies based on the operating status of the wind farm and various power sources, the numerical weather forecast wind power forecast values ​​and power forecast forecast values ​​provided by the information collection system and information network, and sends the dispatching instructions to the substation layer. The wind farm control substation receives the active power instructions issued and distributes the active power tasks required by the instructions. Finally, each wind turbine obtains operation instructions such as start and stop, active reference value, etc.

[0150] like Figure 5As shown, in the day-ahead / intraday scheduling stage, it is necessary to obtain the short-term load forecast value, short-term wind power forecast value, transmission line parameters, backup capacity parameters and wind turbine parameters in advance. The short-term wind power forecast value is the short-term wind power forecast value. After the day-ahead / intraday scheduling stage begins, the power generation plan of the wind farm is first obtained from the scheduling master station. The power generation plan can be compiled according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value; then it is judged whether the power generation plan meets the power flow limit of the transmission line. If not, the limit value is set to the power generation plan, that is, the power generation plan is adjusted according to the power flow limit of the transmission line of the wind turbine, and then it is judged whether the wind energy consumption limit is met. If it is met, it is directly judged whether the wind energy consumption limit is met; if it is met, it directly enters the step of establishing the power allocation strategy. If not, the limit value is set to the power generation plan, that is, the power generation plan is adjusted according to the spinning reserve capacity of the wind turbine, and then it enters the step of establishing the power allocation strategy; in the step of establishing the power allocation strategy, active power can be allocated to each variable-pitch wind turbine and each fixed-pitch wind turbine according to the power generation plan, and then it enters the real-time scheduling / AGC coordination stage. In the real-time dispatching / AGC coordination stage, it is necessary to obtain in advance the ultra-short-term load forecast value, ultra-short-term wind power forecast value, power generation and dispatching plan, priority adjustment unit parameters and common adjustment unit parameters. The ultra-short-term wind power forecast value is the ultra-short-term wind power forecast value. First, the total power regulation is established. The total active power that needs to be adjusted in the wind turbine group can be calculated based on the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine, as well as the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value; then, determine whether the adjusted power is lower than the threshold. If so, establish a joint dispatching strategy for the priority adjustment group so that the total active power in the group is adjusted. The total active power that needs to be adjusted is all adjusted by the priority regulation group, and then the step of obtaining the scheduling strategy can be entered; if not, a joint scheduling strategy for the priority regulation group and the ordinary regulation group is established, so that the total active power that needs to be adjusted in the group is adjusted by the priority regulation group and the ordinary regulation group, and the adjustment power of each wind turbine is determined, the wind farm power generation plan is correctly adjusted, and the power generation plan of each wind turbine is adjusted according to the adjustment power of each wind turbine, and then the step of obtaining the scheduling strategy can be entered; in the step of obtaining the scheduling strategy, mathematical model modeling and MATLAB programming can be used to calculate the scheduling control results and output the corresponding power generation plan curve.

[0151] In order to further verify the wind power active power coordinated control method proposed in the embodiment of the present invention, a certain wind power area is taken as an example. The dispatching period of the area is one day, with a total of 24 time periods.

[0152] The resolution of the day-ahead / day-intraday dispatch forecast is 30 minutes, and the resolution of the real-time dispatch phase is increased to 15 minutes. The power adjustment range of the variable-pitch unit is between 500kW and 1.5MW, and the fixed-pitch unit cannot adjust the power, and the output power is related to the wind speed. pri The consumption increment rates of medium-temperature medium-pressure units, high-temperature high-pressure units and low-quality coal-fired power units are respectively Calculate. ps Take 0.589$ / MW, Take 75%.

[0154] Figure 6 A schematic diagram of a short-term load forecasting sequence and an ultra-short-term load forecasting sequence of a wind turbine generator system provided by an embodiment of the present invention, Figure 7 A schematic diagram of a short-term wind power prediction sequence and an ultra-short-term wind power prediction sequence of a wind turbine provided in an embodiment of the present invention, Figure 7 Medium-term wind power short-term forecast refers to short-term wind power forecast, and wind power ultra-short-term forecast refers to ultra-short-term wind power forecast. Figure 6 The short-term load forecast sequence and the ultra-short-term load forecast sequence of wind turbines basically overlap. The short-term and ultra-short-term forecast sequences of wind power, load and power exchanged to the outside of the system through the tie line are as follows: Figure 6 , Figure 7 Compared with the ultra-short-term prediction results, the average errors of wind power, system exchange power and load short-term prediction at each moment are 12%, 4.7% and 2.3% respectively.

[0155] Figure 8 The schematic diagram of the power generation plan of the unit provided by the dispatching master station according to the embodiment of the present invention, in the day-ahead / day-intraday dispatching stage, according to the results of the short-term forecast, the power generation plan of the unit provided by the dispatching master station is as follows Figure 8 As shown. Among them, nuclear power and low-quality coal-fired power have poor regulation capabilities and mainly bear base loads; high-temperature and high-pressure thermal power and wind power bear mid-loads, and wind power has greater volatility; medium-temperature and medium-pressure thermal power, gas-fired units, and pumped storage units have good regulation performance and bear peak loads. The energy structure of the system is dominated by thermal power, accounting for 71.03% in a dispatch cycle, and wind power planned output accounts for 6.16%.

[0156] Fig. 9 Schematic diagram of the start-stop and power generation plan arrangement of the units in the wind farm provided by the embodiment of the present invention. The power allocation model proposed by the embodiment of the present invention is used to start and stop the units in the wind farm and the power generation plan arrangement as shown in FIG. Fig. 9 In order to adapt to the characteristics of predicted wind speed fluctuations and realize the rational allocation of resources, the variable-pitch unit not only adjusts the output but also optimizes the start and stop; the fixed-pitch unit is optimized through the start and stop of the unit.

[0157] Fig.10This is a schematic diagram of the comparison results of the evaluation indicators provided in the embodiment of the present invention. The allocation strategy proposed in the embodiment of the present invention smoothes the volatility of the unit and reserves space for the output adjustment of a single unit in a short period of time during the real-time scheduling stage. In order to illustrate the effectiveness of the strategy, the allocation strategy of the embodiment of the present invention is compared with the two strategies of allocating active power according to unit capacity and allocating based on planned values ​​(the output of the variable pitch unit is taken as the rated power), and the evaluation is performed using the aforementioned evaluation indicators. The results are as follows: Fig.10 As shown in Figure 2, the traditional allocation strategies include: average allocation, allocation based on installed capacity, allocation based on planned value, etc. Fig.10 It can be seen that compared with the allocation strategy based on installed capacity and the allocation strategy based on planned value in the traditional strategy, the allocation strategy proposed in the embodiment of the present invention has a certain improvement in volatility, which is 1% to 2% better than the traditional strategy. The power generation strategy in the embodiment of the present invention is conducive to smoothing the volatility of the output of a single wind turbine and reserving space for subsequent real-time scheduling. Since the number of units that complete the power generation task is optimized, the number of units put into operation shows a downward trend overall, so the load rate of a single unit has increased, and the unit utilization rate of the wind farm has correspondingly decreased, and the power generation margin has not changed significantly.

[0158] Fig.11 A schematic diagram of the active power arrangement of various types of units after adjustment provided in an embodiment of the present invention, Fig.12 The schematic diagram of the output adjustment of the wind farm in the real-time dispatching stage provided by the embodiment of the present invention. In the real-time dispatching / AGC coordination stage, the coordinated control model proposed by the embodiment of the present invention is used to calculate the adjustment amount that each type of unit needs to bear compared with the power generation plan in the real-time dispatching stage. The sum of the adjustment amount of the system in each time period can be obtained from the above model. The active power arrangement of each type of unit after adjustment is as follows: Fig.11 As shown, Fig.11 The middle dashed line is the power generation plan curve of the corresponding unit, where the output adjustment of the wind farm in the real-time scheduling stage is as follows: Fig.12 shown.

[0159] The output of the wind farm is mainly to participate in the increase of power generation. The real-time dispatch at 9:30, 13:00, 19:45 and 20:15 in the dispatch cycle needs to meet the priority group threshold internal demand increase output, threshold internal demand decrease output, threshold external demand decrease output and threshold external demand increase output. When the adjustment amount is within the priority group threshold, the gas turbine unit, medium temperature and medium pressure thermal power and pumped storage unit jointly complete the adjustment task; when it is outside the adjustment threshold, the wind turbine unit also undertakes a certain output adjustment task, but it is still mainly based on the priority adjustment group. Through coordinated control, the adjustment task that the AGC unit needs to undertake within the dispatch cycle is reduced from the theoretical 4843.9MW to 1104.6MW, and the load rate is reduced from 26.04% to 5.94%, which greatly enhances the system's ability to cope with prediction errors and emergencies and the control margin. Medium-temperature medium-pressure thermal power and pumped storage units are the main peak-shaving units. The power generation costs of the regulated amount in one dispatching cycle are 1526.37$ and 1225.84$ respectively, which avoids the large-scale use of AGC units and improves the economy of the system to a certain extent. The wind power active power coordinated control method of the embodiment of the present invention provides a control framework for wind power active power, and provides an active power allocation strategy within the wind farm with the goal of smoothing volatility in the day-ahead / intraday dispatching stage, and provides an adjustment strategy for coordinated dispatching of multiple power sources with the goal of optimizing economy in the real-time dispatching stage, which solves the technical problem that the existing dispatching technology is difficult to adapt to the development needs of wind power, can improve the utilization rate of wind power, reduce wind abandonment, improve economy, and achieve reasonable allocation of resources.

[0160] Under the dispatch framework and operation mode of the embodiment of the present invention, the resolution of short-term prediction is 30 minutes, the resolution of ultra-short-term prediction is 15 minutes, the time resolution of the dispatch master station and the AGC system issuing instructions is 5 minutes, and the control time for adjusting the power of the variable pitch unit is within 40 seconds. It takes 3 to 5 seconds to solve the dispatch model at a single moment using Matlab software in a computer, and it is feasible to complete the active power dispatch control theory.

[0161] The embodiment of the present invention provides a wind power active power coordinated control method, which can be applied to multi-energy coordinated control in the context of energy Internet, realizes the coordinated cooperation of the machine groups included in the automatic power generation control system, and jointly undertakes the capacity that needs to be adjusted based on the power generation plan. At the same time, adjustment space is reserved for the automatic power generation control system to cope with system emergencies, thereby improving the reliability of the coordinated control process. It can provide a more reasonable wind power active power optimization control strategy, thereby improving wind power utilization, reducing wind abandonment, improving economy, and realizing reasonable allocation of resources, which plays an important role in supporting the subsequent construction and implementation of new power systems.

[0162] The embodiment of the present invention also provides a wind power active power coordination control device, Fig.13Schematic diagram of the structure of a wind power active power coordinated control device in an embodiment of the present invention. The wind power active power coordinated control device in an embodiment of the present invention is used to execute the wind power active power coordinated control method in any embodiment of the present invention, such as Fig.13 As shown, the wind power active power coordination control device includes:

[0163] The acquisition module 110 is used to obtain the parameters of each wind turbine group, and obtain the load forecast value and wind power forecast value of each wind turbine group in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value.

[0164] The first scheduling module 120 is used to prepare a power generation plan according to the parameters of each wind turbine group, the short-term load forecast value and the short-term wind power forecast value in the first scheduling stage, and to allocate active power to each wind turbine group according to the power generation plan to obtain the power generation task of each wind turbine group.

[0165] The second scheduling module 130 is used to determine the deviation of the power generation plan in the second scheduling stage according to the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine, as well as the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value, and adjust the deviation of the power generation plan through the cluster included in the automatic power generation control system, wherein the cluster includes wind turbines.

[0166] Among them, the wind power active power control framework adopts a three-level hierarchical structure, including a dispatching main station, a control substation and a wind farm control layer. The wind turbines in the wind farm control layer upload wind turbine information to the control substation through the information collection and monitoring system, including the active and reactive power, voltage, current, installed capacity, maximum tracking power, start and stop status and other information of the wind turbine; the control substation counts the operation status of the wind farm and uploads it to the dispatching main station. The dispatching main station formulates a control strategy based on the operating status of the wind farm and various power sources, the numerical weather forecast wind power forecast values ​​and power forecast values ​​provided by the information collection system and the information network, and sends the dispatching instructions to the substation layer. The wind farm control substation receives the active power instructions issued, and distributes the active power tasks required by the instructions. Finally, each wind turbine obtains operation instructions such as start and stop, active reference value, etc. The acquisition module 110, the first dispatching module 120 and the second dispatching module 130 in the embodiment of the present invention can be set in the dispatching main station,

[0167] Specifically, the acquisition module 110 can be obtained through the wind farm control layer of each wind turbine. The load forecast value and wind power forecast value of each wind turbine can be obtained through numerical weather forecasts based on the operating conditions of the wind farm and various power sources, information collection systems and information networks. The load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value. Various types of data are obtained through the acquisition module 110, thereby providing data support for the scheduling process of the first scheduling stage and the second scheduling stage. The first scheduling module 120 prepares a power generation plan based on the parameters, short-term load forecast value and short-term wind power forecast value of each wind turbine, and distributes active power to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine. In the embodiment of the present invention, the first scheduling module 120 can optimize the active power with the goal of a small overall output change rate of the wind farm unit within the scheduling period. In addition, a power generation plan is prepared based on the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and active power is allocated to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine, thereby completing the day-ahead / day-intraday scheduling of the wind turbine, which is conducive to smoothing the volatility of the output of a single wind turbine and reserving space for subsequent real-time scheduling. The second scheduling module 130 can determine the deviation of the power generation plan of the fleet according to the error value of the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine, as well as the error value of the ultra-short-term wind power forecast value and the short-term wind power forecast value, and adjust the deviation of the power generation plan. In the process of adjusting the deviation of the power generation plan through the group included in the automatic power generation control system, the second dispatching module 130 can coordinate the real-time dispatching unit with the AGC unit to jointly bear the capacity that needs to be adjusted based on the power generation plan. By adjusting the deviation of the power generation plan through the group included in the automatic power generation control system, the coordination of the group included in the automatic power generation control system can be achieved, and the capacity that needs to be adjusted based on the power generation plan can be jointly assumed. At the same time, adjustment space is reserved for the automatic power generation control system to cope with the sudden situation of the system, and the reliability of the coordinated control process is improved. In addition, a more reasonable wind power active power optimization control strategy is provided, and the active power distribution of the wind turbine is completed through the first dispatching stage. In the second dispatching stage, the deviation of the power generation plan is adjusted through the group included in the automatic power generation control system, so as to improve the utilization rate of wind power, reduce wind abandonment, improve economy, and realize the reasonable allocation of resources.

[0168] In addition, the wind power active power coordination control device of the embodiment of the present invention includes but is not limited to the above modules. The wind power active power coordination control device of the embodiment of the present invention can adaptively set relevant functional modules according to the wind power active power coordination control method in any embodiment of the present invention to achieve the function and technical effect of the wind power active power coordination control method in any embodiment of the present invention.

[0169] The embodiment of the present invention provides a wind power active power coordinated control method, wherein the parameters of each wind turbine are acquired through an acquisition module, and the load forecast value and wind power forecast value of each wind turbine are acquired in real time; the first scheduling module can prepare a power generation plan according to the parameters, short-term load forecast value and short-term wind power forecast value of each wind turbine in the first scheduling stage, and distribute active power to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine; the second scheduling module can determine the deviation of the power generation plan according to the error value of the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine in the second scheduling stage, and adjust the deviation of the power generation plan through the machine group included in the automatic power generation control system, so as to realize the coordination and cooperation of the machine group included in the automatic power generation control system, jointly bear the capacity that needs to be adjusted based on the power generation plan, and reserve adjustment space for the automatic power generation control system to cope with the sudden situation of the system, thereby improving the reliability of the coordinated control process. The technical solution of the embodiment of the present invention allocates the active power of the wind turbine according to the power generation plan in the first scheduling stage, determines the deviation of the power generation plan in the second scheduling stage, and adjusts the deviation of the power generation plan in real time through the automatic power generation control system including the wind turbine. By providing a more reasonable wind power active power optimization control strategy, the utilization rate of wind power is improved, the wind curtailment is reduced, the economy is improved, and the reasonable allocation of resources is achieved.

[0170] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A wind power active power coordinated control method, characterized in that: The method comprises: Obtaining parameters of each wind turbine set, and obtaining load forecast values ​​and wind power forecast values ​​of each wind turbine set in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value; In the first scheduling stage, a power generation plan is prepared according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and active power is allocated to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine; In the second scheduling stage, the deviation of the power generation plan is determined based on the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value, as well as the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value of each wind turbine, and the deviation of the power generation plan is adjusted through the cluster included in the automatic power generation control system, wherein the cluster includes the wind turbines.

2. The wind power active power coordinated control method according to claim 1, characterized in that: Before the first scheduling stage, the method further includes: obtaining the power flow limit of the transmission line of each wind turbine generator set and the spinning reserve capacity of the wind turbine generator set; In the first scheduling stage, a power generation plan is prepared according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and active power is allocated to each wind turbine according to the power generation plan to obtain the power generation task of each wind turbine, including: In the first scheduling stage, a power generation plan is prepared according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value; Determining whether the power generation plan at any time satisfies the power flow restriction of the power transmission line of the wind turbine group; If not, the power generation plan is adjusted according to the power flow restriction of the transmission line of the wind turbine generator set; if satisfied, the power generation plan is not adjusted; Determining whether the power generation plan at any time satisfies the wind energy consumption limit of the spinning reserve capacity of the wind turbine generator set; If not, the power generation plan is adjusted according to the spinning reserve capacity of the wind turbine generator set; if satisfied, the power generation plan is not adjusted; Active power is distributed to each wind turbine generator set according to the power generation plan to obtain a power generation task for each wind turbine generator set.

3. The wind power active power coordinated control method according to claim 2, characterized in that: The determining whether the power generation plan at any time satisfies the power flow restriction of the power transmission line of the wind turbine generator system includes: The power generation plan of the wind turbine at time t is Determine whether the power generation plan at any time satisfies the power flow restriction of the transmission line of the wind turbine generator set by the following formula; in, is the limit transmission capacity of the transmission line of the wind turbine; The determining whether the power generation plan at any time satisfies the wind energy consumption limit of the spinning reserve capacity of the wind turbine generator includes: The following formula is used to determine whether the power generation plan at any time satisfies the wind energy consumption limit of the spinning reserve capacity of the wind turbine generator set; Among them, P Rotor is the spinning reserve capacity of the wind turbine generator set, and α is the safety factor; If the above conditions are not met, the power generation plan is adjusted according to the power flow limitation of the power transmission line of the wind turbine generator set, including: If the power generation plan of the wind turbine at time t If the power flow restriction of the transmission line of the wind turbine generator set is not met, the power generation plan of the wind turbine generator set at time t is set to meet: If the above conditions are not met, adjusting the power generation plan according to the spinning reserve capacity of the wind turbine generator set includes: If the power generation plan of the wind turbine at time t If the wind energy consumption limit of the spinning reserve capacity of the wind turbine generator set is not met, the power generation plan of the wind turbine generator set at time t is set to meet:

4. The wind power active power coordinated control method according to claim 1, characterized in that: The wind turbines are divided into two categories: variable pitch wind turbines and fixed pitch wind turbines. The active power of each wind turbine is allocated according to the power generation plan to obtain the power generation task of each wind turbine, including: According to the power generation plan, active power is allocated to each of the variable-pitch wind turbines and each of the fixed-pitch wind turbines, and the active power of each of the variable-pitch wind turbines and the active power of each of the fixed-pitch wind turbines are adjusted with the goal of minimizing the overall output change rate of each of the wind turbines during the scheduling period, so as to obtain the power generation task of each of the wind turbines.

5. The wind power active power coordinated control method according to claim 4, characterized in that: The performing active power distribution on each of the variable-pitch wind turbines and each of the fixed-pitch wind turbines according to the power generation plan includes: Establishing an active power distribution model according to the number, start / stop time and scheduling cycle of each variable-pitch fan and each fixed-pitch fan, as well as the capacity upper limit and maximum power change rate of the variable-pitch fan; Active power is distributed to each of the variable-pitch wind turbines and each of the fixed-pitch wind turbines according to the active power distribution model and the power generation plan.

6. The wind power active power coordinated control method according to claim 4, characterized in that: After obtaining the power generation task of each wind turbine generator set, the method further includes: Calculate the power change degree of each wind turbine set, the average load rate of the wind turbine set in the power generation state, the unit ratio of the wind turbine set in the power generation state, and the real-time increase margin of the wind turbine set output according to the active power of each variable-pitch wind turbine and the active power of the fixed-pitch wind turbine; The power generation task is evaluated and adjusted according to the power change degree of each wind turbine set, the average load rate of the wind turbine sets in the power generation state, the unit ratio of the wind turbine sets in the power generation state and the real-time upward adjustment margin of the wind turbine sets' output.

7. The wind power active power coordinated control method according to claim 1, characterized in that: The method of determining the deviation of the power generation plan according to the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value, and the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value of each wind turbine generator set, and adjusting the deviation of the power generation plan through the fleet included in the automatic power generation control system includes: According to the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value of each wind turbine, and the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value, the total active power to be adjusted in the fleet is calculated as the deviation of the power generation plan; Dividing the fleet into three categories: a priority regulation fleet, a common regulation fleet, and a fleet without regulation capability; Determine whether the total active power to be adjusted in the cluster is lower than the adjustment threshold of the priority adjustment cluster; If not, the total active power to be adjusted in the group is adjusted by the priority adjustment group and the common adjustment group, and the adjustment power of each wind turbine is determined, and the deviation of the power generation plan of each wind turbine is adjusted according to the adjustment power of each wind turbine; If so, the total active power that needs to be adjusted in the cluster is adjusted by the priority adjustment cluster.

8. The wind power active power coordinated control method according to claim 7, characterized in that: The calculating of the total active power to be adjusted in the wind turbine group according to the real-time ultra-short-term load forecast value and the error value of the short-term load forecast value of each wind turbine, and the error value of the ultra-short-term wind power forecast value and the short-term wind power forecast value, comprises: The total active power to be adjusted in the cluster satisfies: P ad (t)=ΔP T +ΔP L -ΔP W ; Among them, P ad (t) is the total active power that needs to be adjusted in the group at time t, ΔP T is the deviation between the exchange power of the interconnection line of the wind turbine and the planned value; ΔP L is the deviation between the ultra-short-term load forecast value and the short-term load forecast value; ΔP W It is the deviation between the ultra-short-term wind power forecast value and the short-term wind power forecast value.

9. The wind power active power coordinated control method according to claim 7, characterized in that: The cluster is divided into three categories: a priority adjustment cluster, a common adjustment cluster, and a cluster without adjustment capability, including: Dividing the cluster into three categories: the priority adjustment cluster, the common adjustment cluster and the cluster without adjustment capability; Among them, the priority regulation group includes pumped storage units, medium-temperature and medium-pressure thermal power units, steam power units and automatic power generation control units; the ordinary regulation group includes interconnection line power exchange units, high-temperature and high-pressure thermal power units and the wind power units; the group without regulation capability includes inferior coal-fired power units and nuclear power units.

10. A wind power active power coordination control device, characterized in that: The wind power active power coordination control device is used to execute the wind power active power coordination control method according to any one of claims 1 to 9 above, and the wind power active power coordination control device comprises: An acquisition module is used to acquire the parameters of each wind turbine set, and acquire the load forecast value and wind power forecast value of each wind turbine set in real time; wherein the load forecast value includes a short-term load forecast value and an ultra-short-term load forecast value, and the wind power forecast value includes a short-term wind power forecast value and an ultra-short-term wind power forecast value; A first scheduling module is used to prepare a power generation plan in a first scheduling stage according to the parameters of each wind turbine, the short-term load forecast value and the short-term wind power forecast value, and to allocate active power to each wind turbine according to the power generation plan to obtain a power generation task for each wind turbine; The second scheduling module is used to determine the deviation of the power generation plan in the second scheduling stage based on the error value between the real-time ultra-short-term load forecast value and the short-term load forecast value, as well as the error value between the ultra-short-term wind power forecast value and the short-term wind power forecast value of each wind turbine, and adjust the deviation of the power generation plan through the cluster included in the automatic power generation control system, wherein the cluster includes the wind turbine.

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