New energy station control method, new energy station, controller, medium and product

Abstract

The present disclosure provides a new energy station control method, a new energy station, a controller, a medium and a product. The method comprises: determining a first power adjustment signal and a second power adjustment signal of the new energy station according to a power control instruction of a power system; determining a plurality of power adjustment signal components based on the first power adjustment signal; distributing the plurality of power adjustment signal components according to the frequency of the plurality of power adjustment signal components and the power response characteristics of the plurality of energy systems to obtain a closed-loop power indication for closed-loop control of each energy system; determining an open-loop power indication for open-loop control of at least part of the plurality of energy systems based on the second power adjustment signal; and controlling the output power of each energy system based on the closed-loop power indication and the open-loop power indication.

Description

Technical Field

[0001] This disclosure relates to the field of new energy power generation technology, and in particular to a control method for a new energy power station, a new energy power station, a controller, a medium, and a product. Background Technology

[0002] To address climate change and reduce carbon emissions, the energy structure is undergoing a major transformation from being dominated by fossil fuels to being centered on a high proportion of renewable energy. Wind power, solar power, and other new energy sources, due to their clean and renewable characteristics, have become the mainstay of new installed capacity.

[0003] For new energy power plants with multiple energy systems, traditional control methods often employ hierarchical, independent, or simple rule-based control. For example, in a wind-solar-storage integrated power plant, the wind turbines and photovoltaic inverters only pursue local maximum power point tracking, without considering the impact of fluctuations on the total power output of the power plant; while the energy storage system only acts as a passive response system in case of power exceeding limits or frequency anomalies.

[0004] However, the coordination of multiple energy systems is not simply a matter of piling up equipment; it requires considering the characteristics of each system and achieving a complex coupling between dynamic characteristics and control objectives. Summary of the Invention

[0005] This disclosure provides a control method for a new energy power station, a new energy power station, a controller, a medium, and a product. The technical solution of this disclosure is as follows: According to a first aspect of this disclosure, a control method for a new energy power station is provided. The new energy power station includes multiple energy systems, including a wind power generation system. The control method includes: determining a first power regulation signal and a second power regulation signal for the new energy power station according to a power control command from a power system; determining multiple power regulation signal components based on the first power regulation signal; allocating the multiple power regulation signal components according to their frequencies and the power response characteristics of the multiple energy systems to obtain a closed-loop power indication allocated to each energy system for closed-loop control; determining an open-loop power indication allocated to at least a portion of the multiple energy systems for open-loop control based on the second power regulation signal; and controlling the output power of each energy system based on the closed-loop power indication and the open-loop power indication.

[0006] Optionally, the plurality of energy systems includes a first energy system and a second energy system, wherein the power response speed of the first energy system is higher than that of the second energy system, and the second energy system includes the wind power generation system. The step of allocating the plurality of power regulation signal components according to their frequencies and the power response characteristics of the plurality of energy systems to obtain a closed-loop power indication allocated to each energy system includes: performing a first allocation on the first power regulation signal component corresponding to a first frequency band among the plurality of power regulation signal components to obtain a first power indication for the first energy system; and performing a second allocation on other power regulation signal components (excluding the first power regulation signal component) corresponding to frequency bands lower than the first frequency among the plurality of power regulation signal components to obtain a second power indication for the first energy system and a power indication for the second energy system.

[0007] Optionally, the step of performing a first allocation on the first power adjustment signal component corresponding to the first frequency band among the plurality of power adjustment signal components to obtain a first power indication for the first energy system includes: obtaining the adjustable capacity or health status of the first energy system; allocating the first power adjustment signal component to the first energy system according to the adjustable capacity or health status of the first energy system and a preset priority for the first energy system, and determining the first power indication of the first energy system.

[0008] Optionally, performing a second allocation on the other power regulation signal components among the plurality of power regulation signal components to obtain a second power indication for the first energy system and a power indication for the second energy system includes: determining the remaining power output capacity of the first energy system under the condition of satisfying the first allocation based on the power output capacity of the first energy system and the first power indication; and allocating the other power regulation signal components among the plurality of power regulation signal components according to the remaining power output capacity of the first energy system and the priority of the first energy system and the second energy system to obtain a second power indication for the first energy system and a power indication for the second energy system.

[0009] Optionally, the other power regulation signal components include a second power regulation signal component and a third power regulation signal component, wherein the frequency band corresponding to the second power regulation signal component is higher than the frequency band corresponding to the third power regulation signal component. The step of performing the second allocation on the other power regulation signal components among the plurality of power regulation signal components according to the remaining power output capacity of the first energy system and the priorities of the first energy system and the second energy system to obtain a second power indication for the first energy system and a power indication for the second energy system includes: allocating the second power regulation signal component between the first energy system and the second energy system according to the remaining power output capacity of the first energy system and the priorities of the first energy system and the second energy system to obtain a second power indication for the first energy system and a first power indication for the second energy system; and allocating the third power regulation signal component to the second energy system to obtain a second power indication for the second energy system.

[0010] Optionally, the plurality of energy systems includes a first energy system and a second energy system, wherein the power response speed of the first energy system is higher than that of the second energy system, and the second energy system includes the wind power generation system. The step of determining the open-loop power indication allocated to at least a portion of the energy systems for open-loop control based on the second power regulation signal includes: in response to the power control command triggering an auxiliary power service, determining the open-loop power indication allocated to the first energy system based on the second power regulation signal; and in response to the power control command not triggering an auxiliary power service, performing the following operations: determining the at least a portion of the energy systems in the first and second energy systems according to the power regulation direction of the second power regulation signal, wherein the power regulation direction includes increasing power and decreasing power; and determining the open-loop power indication of the at least a portion of the energy systems based on the second power regulation signal.

[0011] Optionally, the first energy system includes an energy storage system, and the second energy system includes a wind power generation system and / or a photovoltaic power generation system. The step of determining the at least a portion of the energy systems in the first and second energy systems based on the power adjustment direction of the second power adjustment signal includes: determining the first energy system as the at least a portion of the energy systems in response to the second power adjustment signal being a power-up signal; and determining the second energy system as the at least a portion of the energy systems in response to the second power adjustment signal being a power-down signal.

[0012] Optionally, determining multiple power regulation signal components based on the first power regulation signal of the new energy power station includes: filtering the first power regulation signal according to multiple preset frequency bands to obtain the multiple power regulation signal components, wherein each power regulation signal component corresponds to a different frequency band.

[0013] Optionally, the first energy system includes one or more of an energy storage system and a photovoltaic power generation system, and the second energy system includes one or more of an energy storage system, a wind power generation system, and a photovoltaic power generation system.

[0014] According to a second aspect of this disclosure, a controller for a new energy power station is provided, comprising: a processor; and a memory storing computer-executable instructions, wherein the computer-executable instructions, when executed by the processor, cause the processor to perform a control method for a new energy power station according to an embodiment of this disclosure.

[0015] According to a third aspect of this disclosure, a new energy power station is provided, the new energy power station including a controller of the new energy power station according to an embodiment of this disclosure, or the new energy power station is communicatively connected to the controller of the new energy power station according to an embodiment of this disclosure.

[0016] According to a fourth aspect of this disclosure, a computer-readable storage medium is provided that, when instructions in the computer-readable storage medium are executed by a processor, causes the processor to perform a control method for a new energy power station according to embodiments of this disclosure.

[0017] According to a fifth aspect of this disclosure, a computer program product is provided, the computer program product including computer instructions, which, when executed by a processor, implement the control method for a new energy power station according to an embodiment of this disclosure.

[0018] According to the control scheme of the new energy power station disclosed herein, on the one hand, fast and accurate power control can be achieved through dual-channel control combining open-loop control and closed-loop control. On the other hand, by decomposing the power regulation signal in the closed-loop control and allocating each power regulation signal component according to the frequency of each power regulation signal component and the power response characteristics of each energy system, coordinated control among multiple energy systems can be achieved, improving the overall control effect of the power station and enabling the various energy systems to be organically combined to jointly achieve the upper-level control objectives.

[0019] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure, and are not intended to unduly limit this disclosure.

[0021] Figure 1 This is a schematic flowchart of a control method for a new energy power station according to an exemplary embodiment of the present disclosure.

[0022] Figure 2 This is a schematic flowchart illustrating the determination of closed-loop power indications allocated to each energy system according to exemplary embodiments of the present disclosure.

[0023] Figure 3 This is a schematic flowchart illustrating the determination of a second power indication for a first energy system and a power indication for a second energy system according to exemplary embodiments of the present disclosure.

[0024] Figure 4 This is a schematic flowchart of determining a first power indication of a first energy system according to an exemplary embodiment of the present disclosure.

[0025] Figure 5 This is a schematic flowchart illustrating the combination of open-loop and closed-loop control according to exemplary embodiments of the present disclosure.

[0026] Figure 6 This is a schematic diagram of a control strategy combining open-loop control and closed-loop control according to exemplary embodiments of the present disclosure.

[0027] Figure 7 This is a schematic diagram of an HPPC technology subsystem architecture according to exemplary embodiments of the present disclosure.

[0028] Figure 8 This is a schematic flowchart of the coordinated control of a new energy power station according to an exemplary embodiment of the present disclosure.

[0029] Figures 9A to 9D This is a schematic diagram of a simulation of a control method for a new energy power station according to an exemplary embodiment of the present disclosure. Detailed Implementation

[0030] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings.

[0031] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0032] It should be noted that the phrase "at least one of several items" in this disclosure refers to three parallel cases: "any one of the several items", "a combination of any number of the several items", and "all of the several items". For example, "including at least one of A and B" includes the following three parallel cases: (1) including A; (2) including B; (3) including A and B. Another example is "performing at least one of step one and step two", which means the following three parallel cases: (1) performing step one; (2) performing step two; (3) performing both step one and step two.

[0033] As mentioned earlier, for new energy power plants that include multiple energy systems, the relationship between these systems is not simply a matter of piling up equipment. Instead, it is necessary to consider the characteristics of each system and achieve a complex coupling between dynamic characteristics and control objectives.

[0034] Specifically, taking integrated wind-solar-storage power stations as an example, the inherent intermittency, volatility, and randomness of wind and solar energy pose unprecedented challenges to the safe and stable operation of the power system due to the large-scale, high-proportion grid connection of new energy sources. Traditional power system operation mainly adopts a source-follow-load balancing model; however, this model is ill-suited to the new trend of uncertainty on both the source and load sides. Constructing a new power system primarily based on new energy sources urgently requires overcoming the technical bottlenecks in grid connection and consumption.

[0035] In integrated wind, solar, and energy storage power stations, by configuring energy storage systems on-site within the new energy power station, a "micro-energy system" with preliminary self-regulation capabilities can be formed. Such a system is no longer a simple electricity producer, but a friendly power source capable of energy time-shifting, power smoothing, and system support. This form is an inevitable choice and key path for new energy to develop from grid-connected to grid-connected forms, and from a passive adaptation mode to an active support mode.

[0036] However, traditional power plant control methods employ hierarchical, independent, or simple rule-based control. Wind and solar power are controlled independently, with wind turbines and photovoltaic inverters only pursuing local maximum power point tracking (MPPT) without considering the impact of fluctuations on the total power plant output. Energy storage systems respond passively, only acting as emergency devices when power limits are exceeded or frequencies are abnormal, lacking proactive energy management. Furthermore, each system has a singular control objective, often focusing only on a single goal such as smoothing fluctuations or tracking a schedule, making it difficult to achieve comprehensive optimization of safety, power generation, and technical indicators.

[0037] Such control methods can no longer meet the requirements of the power grid for "observable, measurable, adjustable, and controllable" power stations in scenarios with a high proportion of new energy sources. This may lead to problems such as high costs, low equipment utilization, and shortened energy storage lifespan. Alternatively, in the process of wind power generation and photovoltaic power generation, due to insufficient grid acceptance capacity, difficulties in system peak shaving, limited transmission channels, or mismatch between power generation and consumption time and space, the generated electricity cannot be absorbed by the grid and is thus restricted or wasted.

[0038] Therefore, for multi-energy system power stations such as integrated wind, solar and energy storage power stations, the realization of their value depends heavily on advanced coordinated control strategies. The core challenge stems from the complex coupling between the different dynamic characteristics of each component and the control objectives.

[0039] On the one hand, the dynamic characteristics of various systems differ significantly. In wind power generation systems, power output is dominated by wind speed variations, exhibiting high inertia, long fluctuation periods (e.g., minutes to hours), and anti-peak-shaving characteristics. In photovoltaic power generation systems, power output varies with sunlight intensity, with fast response, drastic fluctuations (e.g., seconds to minutes), strong intraday regularity, but significant influence from clouds. In energy storage systems, such as those primarily based on electrochemical energy storage, bidirectional, fast (e.g., milliseconds to seconds), and precise power regulation capabilities are available, but the system is limited by its State of Charge (SOC) and lifetime. Therefore, the speed, accuracy, and constraints of the dynamic responses of different systems vary, making mutual cooperation, rather than mutual constraint or conflict, the primary challenge in control strategy design.

[0040] On the other hand, the power plant as a whole involves complex optimization with multiple objectives and constraints. Specifically, it is necessary to consider safety constraints to ensure that the power plant operates within the safety limits of the equipment (e.g., wind turbine overspeed, photovoltaic inverter overload, energy storage SOC exceeding limits and temperature rise, etc.); it is also necessary to consider grid requirements to meet the increasingly stringent grid requirements of the grid dispatching agency for power forecast accuracy, plan tracking, primary frequency regulation, etc. (e.g., the rules of the power industry for grid-connected operation management and ancillary service management, etc.); it is also necessary to consider power generation targets, which, under the premise of meeting safety and grid requirements, need to maximize wind and solar power generation (e.g., reduce wind and solar curtailment), optimize energy storage charging and discharging strategies to reduce losses and extend lifespan, and may participate in ancillary services; in addition, in terms of the spatiotemporal coupling of control objectives, short-term fluctuation smoothing and long-term energy management may interact, and local objectives and system requirements (such as grid frequency regulation) may conflict, which further increases the difficulty of coordinated control.

[0041] On the other hand, coordinated control may also face decision-making under uncertain environments. Specifically, there are prediction errors in wind and solar power output and load demand, and the power grid state may also change abruptly. This makes it necessary for the coordinated control system to have strong robustness and adaptability, to make reliable decisions under uncertainty, and to achieve closed-loop optimization of "perception-prediction-decision-execution".

[0042] In view of this, exemplary embodiments of the present disclosure provide a control method, a new energy power station, a controller, a medium, and a product for a new energy power station, which can solve or at least alleviate at least one of the above-mentioned problems.

[0043] In a first aspect of an exemplary embodiment of this disclosure, a control method for a renewable energy power station is provided. This control method may be, but is not limited to, executed by a power station controller of the renewable energy power station. Specifically, the control method may include the following steps: like Figure 1 As shown, in step S110, the first power regulation signal and the second power regulation signal of the new energy power station can be determined according to the power control command of the power system.

[0044] Here, a new energy power station may include multiple energy systems, which may include wind power generation systems, and may also include, but are not limited to, energy storage systems and / or photovoltaic power generation systems.

[0045] As an example, the first power regulation signal can be the power regulation deviation for closed-loop control, and the second power regulation signal can be the power regulation deviation for open-loop control. For instance, the first power regulation signal can be determined based on the power control command and the most recently issued open-loop control command for the entire new energy power station, while the second power regulation signal can be determined based on the power control command and the total power of the new energy power station.

[0046] Here, the power control command of the power system can be the target power of the entire renewable energy power station. The power control command can be, for example, one or more of Automatic Generation Control (AGC) commands and frequency regulation commands. For example, the control method according to the embodiments of this disclosure can be executed for each of the AGC command and the frequency regulation command.

[0047] In step S120, multiple power adjustment signal components can be determined based on the first power adjustment signal.

[0048] As an example, the first power regulation signal can be determined based on the power control command of the power system and the real-time power of the entire renewable energy power plant (e.g., the power measurement value at the power plant's grid connection point). For example, the power regulation deviation deltP can be expressed as: deltP = P 目标 - P 实时 , where P 目标 P represents the total target power. 实时 This indicates the real-time power across the entire field.

[0049] In this step, the first power regulation signal can be decomposed to obtain multiple power regulation signal components.

[0050] As an example, step S110 may include: filtering the first power adjustment signal according to multiple preset frequency bands to obtain multiple power adjustment signal components, wherein each power adjustment signal component corresponds to a different frequency band.

[0051] Here, the number and range of the preset frequency bands can be set according to actual needs, for example, there can be two or more. The components corresponding to each frequency band can be extracted from the first power adjustment signal to obtain the aforementioned multiple power adjustment signal components. For example, the aforementioned multiple power adjustment signal components can correspond one-to-one with the aforementioned multiple frequency bands.

[0052] For example, multiple power adjustment signal components may include a first power adjustment signal component and a second power adjustment signal component. For example, the decomposition of the first power adjustment signal P_demand (e.g., the power adjustment deviation deltP mentioned above) can be expressed as: P_demand = P_fast + P_slow, where P_fast represents the first power adjustment signal component corresponding to the first frequency band, and P_slow represents the second power adjustment signal component corresponding to the second frequency band. The frequency of the first frequency band may be higher than the frequency of the second frequency band.

[0053] Through the above decomposition, the first power regulation signal component can characterize the high-frequency fluctuations and rapidly changing parts of the first power regulation signal (e.g., corresponding to inertial response or the initial stage of primary frequency modulation), while the second power regulation signal component can characterize the low-frequency trends and smoothly changing parts of the first power regulation signal (e.g., corresponding to the AGC main body or plan tracking). In comparison, the first power regulation signal component can also be called the fast component, which can be preferentially allocated to all available fast regulation units; the second power regulation signal component can also be called the slow component, which can enter the MPC optimization layer, for example, in wind-solar-storage space allocation.

[0054] As an example, a first-order high-pass filter or a first-order low-pass filter can be used to filter the first power adjustment signal.

[0055] In one example, the transfer function of the low-pass filter can be expressed as: H_lp(s) = 1 / (τ_slow) s + 1), where τ_slow represents the time constant corresponding to the frequency band, and s represents the Laplace operator. The power-adjusted signal component (e.g., the slow component mentioned above) can be obtained by inputting the power-adjusted signal into a low-pass filter.

[0056] In another example, the first power-adjusted signal can also be filtered using a discretized approach. For instance, the transfer function of a first-order low-pass filter can be expressed as: Y(s) / X(s) = 1 / (τs + 1), which can be obtained using the backward Euler method (s ≈ (1 - z)). -1 Discretize the continuous transfer function into difference equations () / Ts) to facilitate programming implementation.

[0057] Furthermore, the time constant is configurable in the filtering process described above. For example, for the slow channel, the time constant could be 3 seconds. Determining the frequency band for slow control means the filter needs approximately 15 seconds (3 seconds x 5) to essentially keep up with the step change in the input, resulting in a very smooth change in the filtered slow component. Additionally, as an example, the sampling period of the control system can be set according to actual needs, for example, it could be 0.05 seconds.

[0058] When the slow component is obtained through a low-pass filter, the fast component can be obtained based on the total power-adjusted signal and the slow component. For example, it can be expressed as: Fast component = Power-adjusted signal - Slow component.

[0059] It should be noted that although the above describes an example of obtaining a slow component using a low-pass filter and then obtaining a fast component based on a power-adjusted signal and the slow component, the embodiments of this disclosure are not limited thereto. A fast component can also be obtained using a high-pass filter and then a slow component can be obtained based on a power-adjusted signal and the fast component.

[0060] In the examples above, using a first-order filter, such as a first-order high-pass filter or a first-order low-pass filter, instead of a higher-order filter, can better handle device response delays and communication delays, and can improve control accuracy. However, the examples of filters are not limited to this; for example, a second-order Butterworth filter or a moving average filter can also be used.

[0061] Furthermore, although examples of decomposing a power regulation signal into fast and slow components have been described above, embodiments of this disclosure are not limited thereto. Power regulation signals that are scheduling instructions or frequency signals may also be decomposed into components with different technical features, such as more than two components.

[0062] As an example, the power regulation signal can be decomposed into high-frequency, mid-frequency, and low-frequency (or deviation) components. Here, the high-frequency component can correspond to the millisecond to second level, for example, the initial rapid portion of the virtual inertia response and primary frequency modulation, requiring extremely high speed and a high rate of power change (e.g., a large ratio of the power change dP to the corresponding change time dt). The mid-frequency component can correspond to the second to minute level, for example, the continuous portion of AGC regulation and primary frequency modulation, requiring precise tracking and a moderate speed. The low-frequency (or deviation) component can correspond to the minute level and above, for example, the slow deviation of planned output or energy recovery needs, requiring energy throughput and a low speed requirement.

[0063] In this example, an adaptive filter bank (such as a Butterworth filter) or a moving average method could be used to decompose the power regulation signal (such as the total demand command) P_demand into a high-frequency component P_high_freq, a mid-frequency component P_mid_freq, and a low-frequency (or bias) component P_low_freq in real time.

[0064] Here, the high-frequency component P_high_freq can be preferentially allocated to the energy storage system to achieve fine-grained regulation prioritizing energy storage. A "fast regulation channel" can be established for the energy storage system. This part of the instructions does not enter a slow optimization queue such as MPC (described below), but instead acts directly on the energy storage converter through a high-speed closed loop, achieving a "servo-driven" effect.

[0065] The mid-frequency component P_mid_freq can enter the slow optimization layer. For example, control methods such as MPC can be used to optimally allocate power generation among wind power curtailment, energy storage (mid-frequency portion), and potential photovoltaic power curtailment, while satisfying the SOC management strategy.

[0066] The low-frequency component P_low_freq can be primarily handled by the slow regulation capability of at least one of the wind and solar power. Specifically, MPC is processed in long-term optimization to adjust the power limit level of wind power. In addition, if slow-speed equipment such as electrolyzers exists, it can also participate in the regulation of the low-frequency component by starting or stopping such slow-speed equipment.

[0067] Furthermore, in the embodiments of this disclosure, the control period for different components can be the same. For example, the control period for fast components and slow components can be the same, and the control period for high-frequency components, mid-frequency components and low-frequency components can also be the same.

[0068] Furthermore, in the embodiments of this disclosure, during the decomposition of the first power adjustment signal, the cutoff frequency of the filter can be set according to actual needs. For example, for a low-pass filter, when the cutoff frequency is set higher, the proportion of fast components or high-frequency components in the first power adjustment signal is lower; when the cutoff frequency is set lower, the proportion of fast components or high-frequency components in the first power adjustment signal is higher.

[0069] Return to reference Figure 1 In step S130, the multiple power regulation signal components can be allocated according to the frequency of the multiple power regulation signal components and the power response characteristics of the multiple energy systems to obtain a closed-loop power indication allocated to each energy system for closed-loop control.

[0070] In this step, each of the multiple power regulation signal components can be assigned, for example, based on the frequency level of the power regulation signal component, it can be assigned to one or more energy systems whose power response speed matches it.

[0071] As an example, multiple energy systems may include a first energy system and a second energy system, wherein the power response speed of the first energy system is higher than that of the second energy system.

[0072] Here, the first energy system and the second energy system may each include one or more systems.

[0073] As an example, the first energy system may include one or more of an energy storage system and a photovoltaic power generation system, and the second energy system may include one or more of a wind power generation system and a photovoltaic power generation system.

[0074] Here, the first energy system and the second energy system can be different. However, the first energy system can function as both a fast-regulation system and a slow-regulation system. For example, the first energy system may include an energy storage system and a photovoltaic power generation system, while the second energy system may include a wind power generation system. In this case, a fast-regulation resource pool and a slow-regulation resource pool can be pre-set. The fast-regulation resource pool may include an energy storage system (such as a fast-regulation component) and a photovoltaic power generation system (such as a fast-regulation component) serving as the first energy system. The slow-regulation resource pool may include a wind power generation system serving as the second energy system, a photovoltaic power generation system (such as a slow-regulation component) serving as the first energy system, and an energy storage system (such as a deviation compensation component).

[0075] In the embodiments of this disclosure, by distinguishing the power response characteristics of different energy systems, rapid power fluctuations can be handled by the resources with the fastest or relatively fast response speed (such as the fast adjustment part of energy storage systems and photovoltaic power generation systems), while slow power changes can be handled by the systems with the slowest or relatively slow response speed, or can be handled by all available resources in priority.

[0076] For both the first and second energy systems, as an example, step S120 above may include the following steps: like Figure 2 As shown, in step S210, a first allocation can be performed on the first power adjustment signal component corresponding to the first frequency band among multiple power adjustment signal components to obtain a first power indication for the first energy system.

[0077] As an example, the first power adjustment signal component can be the component with the highest frequency among the above power adjustment signal components, or in other words, its corresponding first frequency band is the frequency band with the highest frequency.

[0078] In step S210, the first power regulation signal component can be preferentially allocated to the first energy system to obtain the first power indication.

[0079] As an example, the first allocation can be implemented using a proportional-integral (PI) controller or a proportional-integral-derivative (PID) controller. For instance, the input to a PI controller may include a first power regulation signal component as a fast fluctuation component, and the output of the PI controller may include a first power indication, which may be a command deviation for a fast control loop.

[0080] In addition, the aforementioned PI controller can be an anti-integral saturation PI controller with back-calculation (e.g., a position-type PI controller with back-calculation to prevent integral saturation), in order to solve the problem of SOC exceeding the limit and integral saturation caused by equipment power limiting in energy storage systems in actual engineering.

[0081] As an example, an anti-integral saturation PI controller can be expressed as: u(k) = Kp e(k) + Ki Ts Σ[e(j)], where u(k) represents the output of the PID controller at the k-th sampling time, e(k) represents the system error at the k-th sampling time, Kp represents the proportional coefficient, Ki represents the integral coefficient, Ts represents the sampling time (or sampling period), and Σ[e(j)] represents the sum of all historical errors from the initial time j=0 to the k-th sampling time j=k. The power deviation du can be calculated based on the output u(k) at the k-th sampling time and the output u(k-1) at the previous sampling time (or the previous sampling period), for example, it can be expressed as: du = u(k) - u(k-1).

[0082] In such a PI controller, saturation can be detected and reverse calculation can be performed. Specifically, if the controller's unconstrained output u_free exceeds the limit value [u_min, u_max], the output is not simply clamped, but a new, smaller integral term I is calculated in reverse.

[0083] By employing the aforementioned PI controller, the problem of continuous accumulation (i.e., integral saturation) in the integrator when the controller output reaches the actuator limit can be effectively solved. However, the embodiments of this disclosure are not limited to this, and other control strategies can also be used, such as sliding mode control or model predictive control (MPC).

[0084] Furthermore, in the embodiments of this disclosure, the parameters of the PI controller can be tuned according to the equivalent response model of the controlled object (photovoltaic, energy storage inverter group). The tuning objective can be to quickly track high-frequency fluctuations and achieve a fast response speed (e.g., on the order of seconds). For example, a large proportional coefficient and a moderate integral coefficient can be set to ensure speed.

[0085] Furthermore, in step S210, the first energy system may include one or more of an energy storage system and a photovoltaic power generation system, wherein the energy storage system can perform rapid power generation or charging operations, and the photovoltaic power generation system can rapidly increase or decrease power.

[0086] As an example, when the first energy system includes an energy storage system, the first power regulation signal component can be preferentially allocated to the energy storage system. For example, whether it is a power increase demand or a power decrease demand, as long as there is a disturbance, the energy storage system can be started first to respond quickly and smooth out the fluctuations.

[0087] Furthermore, in the first allocation described above, the capacity of the first energy system can be used entirely for fast power response to prioritize the regulation needs of the first power regulation signal component. However, it is not limited to this. In another example, the capacity of the first energy system can also be divided, with a maximum capacity set for the regulation needs of the first power regulation signal component, while another portion of the capacity of the first energy system can be used for the regulation needs of the second power regulation signal component as a slow regulation component.

[0088] In one example, the capacity of the first energy system can be divided according to a preset capacity division ratio to obtain the capacity of the first power regulation signal component as a fast component and the capacity of other power regulation signal components as slow components.

[0089] In another example, the capacity allocation ratio of the first energy system can be determined based on the real-time adjustable capacity or real-time health status of the first energy system, and the capacity of the first energy system can be allocated accordingly.

[0090] As an example, such as Figure 4 As shown, step S210 may include: S410, obtaining the adjustable capacity or health status of the first energy system; S410, allocating the first power adjustment signal component to the first energy system according to the adjustable capacity or health status of the first energy system, and determining the first power indication of the first energy system.

[0091] Here, capacity allocation can be based on the real-time adjustable capacity or real-time health status of the first energy system. For example, the capacity of the first energy system used for the first power regulation signal component can be determined based on its real-time adjustable capacity or real-time health status. This could be the entire real-time adjustable capacity or a preset proportion of it. Alternatively, the capacity used for the first power regulation signal component can be determined based on the real-time health status. For instance, when the health status is good, more capacity can be allocated to the first power regulation signal component; when the health status is poor, less capacity can be allocated. For example, taking an energy storage system as an example, the capacity ratio in the fast regulation channel for fast components and the slow regulation channel for slow components can be adaptively adjusted in real-time based on multi-objective optimization calculations of the current SOC and state of health (SOH).

[0092] In this way, energy storage systems can be used as a key flexibility resource, playing a bridging role in fast and slow regulation. The ratio of capacity allocated to the fast and slow components can be adaptively adjusted according to the applicable power, resulting in greater control flexibility.

[0093] As an example, the first energy system described above may include one or more energy systems (e.g., it may include an energy storage system and / or a photovoltaic power generation system), and a first power indication may be determined for each energy system.

[0094] Return to reference Figure 2 In step S220, a second allocation can be performed on the other power adjustment signal components (excluding the first power adjustment signal component) that correspond to frequency bands lower than the first frequency, to obtain a second power indication for the first energy system and a power indication for the second energy system.

[0095] In this step, power regulation signal components other than the first power regulation signal component can be assigned to both the first energy system and the second energy system.

[0096] For example, in the case where the first energy system includes an energy storage system and a photovoltaic power generation system, and the second energy system includes a wind power generation system, the energy storage system can participate in both fast and slow regulation; in addition to participating in fast regulation, the remaining capacity of the photovoltaic power generation system can also participate in slow regulation; and the wind power generation system can serve as the main power source in slow regulation.

[0097] In this way, while utilizing the first energy system to respond to the first power regulation signal component, the first energy system can also be applied to the power response of other relatively slow power regulation signal components. This satisfies the need for fast power regulation and allows the first energy system to serve as a support or supplement for subsequent slow power regulation.

[0098] As an example, step S220 above may include the following steps: like Figure 3 As shown, in step S310, the remaining power output capacity of the first energy system under the condition of satisfying the first allocation can be determined based on the power output capacity of the first energy system and the first power indication.

[0099] Here, the remaining power output capability can be, for example, the difference between the current power output capability of the first energy system and the first power indication, which can be used to respond to slow power regulation. The power output capability of the energy system can, for example, characterize the maximum output power that the energy system can provide.

[0100] In step S320, other power regulation signal components among multiple power regulation signal components can be allocated according to the remaining power output capacity of the first energy system and the priority of the first energy system and the second energy system to obtain a second power indication for the first energy system and a power indication for the second energy system.

[0101] As an example, priorities among energy systems can be preset. For instance, priorities can be set separately for fast power regulation and slow power regulation. In fast power regulation, the priority of the energy storage system can be higher than that of the photovoltaic power generation system. In slow power regulation, the priority among energy systems can be determined based on the power regulation direction of the other power regulation signal components mentioned above.

[0102] As an example, in a scenario involving multiple energy systems, including a first energy system and a second energy system, where the power response speed of the first energy system is higher than that of the second energy system, the priority among the energy systems can be determined based on the power regulation direction of the other power regulation signal components mentioned above. Here, the power regulation direction can include increasing power and decreasing power.

[0103] For example, the first energy system may include an energy storage system, and the second energy system may include a wind power system and / or a photovoltaic system. In this example, when the power regulation direction of the other power regulation signal components is to increase power, the priority of the wind power system and / or the photovoltaic system may be higher than the priority of the energy storage system; when the power regulation direction of the other power regulation signal components is to decrease power, the priority of the energy storage system may be higher than the priority of the wind power system and / or the priority of the photovoltaic system.

[0104] Although the priority settings for each energy system have been described above, the embodiments of this disclosure are not limited thereto, and other priority relationships may be set as needed.

[0105] In step S320, the other power regulation signal components mentioned above can be preferentially allocated to the higher-priority energy system in the first energy system and the second energy system according to priority.

[0106] In one example, when there is only one other power regulation signal component, that is, when the first power regulation signal is split into two components, in step S320, the other power regulation signal component can be directly allocated. For example, it can be allocated according to priority from high to low. During the allocation process, the remaining power output capacity of the first energy system needs to be considered. If the first energy system has no remaining power output capacity (e.g., the remaining power output capacity is 0), the other power regulation signal component can be allocated only to the second energy system to obtain a power indication for the second energy system, while the second power indication for the first energy system can be 0.

[0107] In another example, when there are more than one other power adjustment signal component, for example, when the first power adjustment signal is split into three components (e.g., a high-frequency component, a mid-frequency component, and a low-frequency component), the other power adjustment signal components may include a second power adjustment signal component and a third power adjustment signal component, wherein the frequency band corresponding to the second power adjustment signal component may be higher than the frequency band corresponding to the third power adjustment signal component.

[0108] In this example, step S320 may include: allocating a second power regulation signal component between the first energy system and the second energy system according to the remaining power output capacity of the first energy system and the priority of the first energy system and the second energy system, to obtain a second power indication for the first energy system and a first power indication for the second energy system; and allocating a third power regulation signal component to the second energy system to obtain a second power indication for the second energy system.

[0109] Specifically, the second power adjustment signal component, which is a mid-frequency component, can be allocated to both the first and second energy systems, while the third power adjustment signal component, which is a low-frequency component, can be allocated only to the second energy system.

[0110] For example, in an example where the first energy system includes a battery energy storage system (BESS) and the second energy system includes a wind power generation system and a photovoltaic power generation system, a second power regulation signal component can be allocated to the battery energy storage system as the first energy system and the wind power generation system and photovoltaic power generation system as the second energy system, while a third power regulation signal component can be allocated only to the wind power generation system and photovoltaic power generation system as the second energy system.

[0111] Here, energy storage systems, as all-around energy systems, are suitable for responding to both high-frequency and mid-frequency components, offering advantages in both speed and accuracy. Wind power systems, on the other hand, are better suited for responding to low-to-medium frequency components.

[0112] As an example, different power modes of a wind power system can correspond to different power regulation signal components. For instance, the wind power curtailment mode of a wind power system can be suitable for responding to mid-frequency and low-frequency components, with a response delay (e.g., on the order of seconds), but it can provide continuous power support. The conventional maximum power point tracking (MPPT) mode of a wind power system can serve as an energy base, not directly participating in rapid regulation, but only used for responding to low-frequency components. Furthermore, as an example, in MPPT mode, when the output power of the wind power system fluctuates, compensation can be made through other resources such as energy storage systems or photovoltaic power generation systems.

[0113] By using the above methods, different frequency regulation components can be rationally allocated according to the capabilities and characteristics of different energy systems, thereby achieving efficient and coordinated control of the entire station.

[0114] Furthermore, as an example, in the second allocation process of the other power regulation signal components mentioned above, regardless of whether the allocation object is one or more (e.g., one or more in the first energy system and the second energy system), a PI controller or a PID controller can be used.

[0115] As an example, similar to the first assignment for the first power regulation signal component, the input of the PI controller may include a second power regulation signal component as a slow fluctuation component (or a mid-to-low frequency component), and the output of the PI controller may include a command deviation for the slow control loop. Here, depending on the assignment object, a second power indication for the first energy system and a power indication for the second energy system (e.g., may include the first power indication and the second power indication) may be determined based on the command deviation for the slow control loop.

[0116] In addition, the aforementioned PI controller can be an anti-integral saturation PI controller with back-calculation (e.g., a position-type PI controller with back-calculation to prevent integral saturation), in order to solve the problem of SOC exceeding the limit and integral saturation caused by equipment power limiting in energy storage systems in actual engineering.

[0117] Similar to the description above, the anti-integral saturation PI controller can be expressed as: u(k) = Kp e(k) +Ki Ts Σ[e(j)], where u(k) represents the output of the PID controller at the k-th sampling time, e(k) represents the system error at the k-th sampling time, Kp represents the proportional coefficient, Ki represents the integral coefficient, Ts represents the sampling time (or sampling period), and Σ[e(j)] represents the sum of all historical errors from the initial time j=0 to the k-th sampling time j=k. The power deviation du can be calculated based on the output u(k) at the k-th sampling time and the output u(k-1) at the previous sampling time (or the previous sampling period), for example, it can be expressed as: du = u(k) - u(k-1).

[0118] In such a PI controller, saturation can be detected and reverse calculation can be performed. Specifically, if the controller's unconstrained output u_free exceeds the limit value [u_min, u_max], the output is not simply clamped, but a new, smaller integral term I is calculated in reverse.

[0119] By adopting the above-mentioned PI controller, the problem of continuous accumulation (i.e. integral saturation) of the integrator when the controller output reaches the actuator limit is effectively solved.

[0120] Furthermore, in embodiments of this disclosure, the parameters of the PI controller for the second power adjustment signal component can, for example, be smaller than the parameters of the PI controller for the first power adjustment signal component. The goal of parameter tuning is to smoothly and without steady-state error eliminate the long-term trend of power deviation, avoiding frequent disturbances to the system. For example, a smaller proportional coefficient and a smaller integral coefficient can be set to obtain a smooth adjustment curve.

[0121] Return to reference Figure 1 In step S140, based on the second power adjustment signal, an open-loop power indication for open-loop control is determined for at least a portion of the energy systems in the plurality of energy systems.

[0122] As an example, the second power regulation signal can be the power regulation deviation used for open-loop control. For instance, the second power regulation signal can be determined based on the power control command of the power system (e.g., the overall target power) and the target power command of the open-loop control of the renewable energy power station in the previous cycle. As an example, the power regulation deviation deltP' used for open-loop control can be expressed as: deltP' = P 目标 – P 前目标 , where P 目标 P represents the total target power. 前目标 This indicates the target power command for the open-loop control of the new energy power station in the previous cycle.

[0123] As an example, feedforward control can be used based on a second power regulation signal to determine an open-loop power indication for open-loop control allocated to at least a portion of the energy systems in a plurality of energy systems.

[0124] Here, the aforementioned at least part of the energy system can be one or more of multiple energy systems. In one example, the aforementioned at least part of the energy system can be all energy systems. In another example, the aforementioned at least part of the energy system can be determined based on whether the current power control instructions include instructions related to power auxiliary services.

[0125] The following describes an example of determining at least a portion of the energy system based on whether the current power control instructions include instructions related to power auxiliary services.

[0126] When multiple energy systems include a first energy system and a second energy system, and the power response speed of the first energy system is higher than that of the second energy system, the above step S140 may include the following steps: In response to a power control command triggering an auxiliary power service, the open-loop power indication allocated to the first energy system is determined based on a second power regulation signal. In response to the power control command not triggering ancillary power services, the following operations may be performed: determining at least a portion of the energy systems in the first and second energy systems based on the power regulation direction of the second power regulation signal, wherein the power regulation direction includes increasing power and decreasing power; and determining the open-loop power indication allocated to the at least a portion of the energy systems based on the second power regulation signal.

[0127] Specifically, when a power control command triggers an auxiliary power service, the first energy system can be used as at least a part of the aforementioned energy system, and all second power regulation signals can be allocated to the first energy system.

[0128] If the power control command does not trigger the power auxiliary service, at least a portion of the energy system can be determined based on whether the power adjustment of the second power adjustment signal is to increase or decrease the power.

[0129] As an example, in a scenario involving multiple energy systems, including a first energy system and a second energy system, where the power response speed of the first energy system is higher than that of the second energy system, the priority among the energy systems can be determined based on the power adjustment direction of the second power adjustment signal. Here, the power adjustment direction can include increasing power and decreasing power.

[0130] For example, the first energy system may include an energy storage system, and the second energy system may include a wind power system, or it may also include a photovoltaic system. In this example, when the power regulation direction of the second power regulation signal is to increase power, the priority of the wind power system and / or the photovoltaic system may be higher than the priority of the energy storage system; when the power regulation direction of the second power regulation signal is to decrease power, the priority of the energy storage system may be higher than the priority of the wind power system and / or the priority of the photovoltaic system.

[0131] As an example, the step of determining at least a portion of the energy system in the first energy system and the second energy system based on the power adjustment direction of the second power adjustment signal may include: determining the first energy system as at least a portion of the energy system in response to the second power adjustment signal being a power-up signal; and determining the second energy system as at least a portion of the energy system in response to the second power adjustment signal being a power-down signal.

[0132] In this way, instructions related to power auxiliary services that require rapid response can be quickly addressed, thereby enabling more granular, hierarchical (or layered) power regulation.

[0133] It should be noted that although steps S120, S130 and S140 are described in sequence above, the closed-loop control of steps S120 and S130 and the open-loop control of step S140 can be performed in parallel.

[0134] In step S150, the output power of each energy system can be controlled based on the closed-loop power indication and the open-loop power indication.

[0135] As an example, the total power indication of each energy system can be determined based on the closed-loop power indication of each energy system and the open-loop power indication of at least a portion of the aforementioned energy systems, so as to control the output power of each energy system.

[0136] For example, for each energy system, the closed-loop power indication and the open-loop power indication can be added together to obtain the final power indication, so that the final power command can be sent to the corresponding energy system. In each energy system, further command allocation can be carried out. For example, in a wind power generation system that includes multiple wind turbine generators, the control command for each generator can be further determined.

[0137] Here, the process of obtaining the final power indication according to the example of this disclosure is outer loop control to generate the overall control command for the wind power generation system, the overall control command for the energy storage system, and the overall control command for the photovoltaic power generation system. The allocation of individual commands in each energy system can adopt existing allocation methods (e.g., allocation algorithms for individual wind power, allocation algorithms for individual energy storage, and allocation algorithms for individual photovoltaic systems). The embodiments of this disclosure do not impose any particular limitations on this.

[0138] In the embodiments of this disclosure, in addition to considering the different power response characteristics between different energy systems, the differences in power response characteristics between different control modes are also taken into account, so that coordinated control can be performed in two dimensions to achieve power regulation with finer granularity.

[0139] Figure 5 This is a schematic flowchart illustrating the combination of open-loop and closed-loop control according to exemplary embodiments of the present disclosure. Figure 6 This is a schematic diagram of a control strategy combining open-loop control and closed-loop control according to exemplary embodiments of the present disclosure.

[0140] like Figure 5 As shown, the control instructions in the control method of the embodiments of this disclosure can be AGC allocation instructions or primary frequency modulation allocation instructions. The control processes of the two are similar. For AGC allocation instructions or primary frequency modulation allocation instructions, on the one hand, open-loop control such as feedforward control can be executed; on the other hand, steady-state closed-loop control such as PID control can be executed.

[0141] As an example, a control strategy combining open-loop and closed-loop control can be as follows: Figure 6 As shown, specifically, on the one hand, control instructions P can be based on instructions such as AGC allocation instructions or primary frequency modulation allocation instructions. cmd And the final open-loop control command P issued to the energy system (such as a wind power system, energy storage system, or photovoltaic power system). setlast Determine the first control deviation P1, through feedforward control, generates an open-loop power indication P1; on the other hand, it can be based on control commands such as AGC allocation commands or primary frequency modulation allocation commands P cmd and the output power P of currently collected energy systems (such as wind power systems, energy storage systems, or photovoltaic power systems). mea Determine the second control deviation P2, through PID control, generates a closed-loop power indicator P2. Based on the open-loop power indicator P1 and the closed-loop power indicator P2, the final power indicator P for the energy system can be obtained. final .

[0142] The following will combine Figure 5A detailed description of example processes for open-loop and closed-loop control is provided. Specifically, for open-loop control such as feedforward control, in step S5101, it can be determined whether an auxiliary power service is triggered. In response to triggering an auxiliary power service, in step S5102, open-loop control can be executed according to a strategy prioritizing the energy storage system, resulting in an open-loop energy storage general command. In response to not triggering an auxiliary power service, in step S5103, if the power output is increased, open-loop control can be executed according to a strategy prioritizing the wind power system or the photovoltaic system, resulting in an open-loop energy storage general command, an open-loop wind power general command, and an open-loop photovoltaic general command; if the power output is decreased, open-loop control can be executed according to a strategy prioritizing the energy storage system, resulting in an open-loop energy storage general command, an open-loop wind power general command, and an open-loop photovoltaic general command. The aforementioned open-loop energy storage general command, open-loop wind power general command, and open-loop photovoltaic general command can, for example, be an open-loop power indication P1 for the energy storage system, the wind power system, and the photovoltaic system, respectively. In step S5104, the slow energy storage allocation algorithm can be executed on the open-loop energy storage general command to obtain the slow energy storage allocation command.

[0143] For steady-state closed-loop control such as PID control, in step S5201, the first power regulation signal can be decomposed into fast and slow components to obtain a fast component and a slow component. In step S5202, the energy storage system can respond to the fast component.

[0144] In step S5203, the energy storage fast allocation instruction is obtained through the energy storage fast allocation algorithm. In step S5300, the energy storage slow allocation instruction and the energy storage fast allocation instruction can be merged.

[0145] In step S5204, allocation can be performed for the slow component. For example, in the case of increased power, a strategy prioritizing the wind power system or the photovoltaic power system can be adopted to execute closed-loop control, obtaining at least one of the slow energy storage closed-loop command, slow wind power closed-loop command, and slow photovoltaic closed-loop command. In the case of decreased power, closed-loop control can be executed according to the energy storage system priority strategy, obtaining at least one of the slow energy storage closed-loop command, slow wind power closed-loop command, and slow photovoltaic closed-loop command. Here, the closed-loop power indication P2 for the energy storage system can be determined based on the fast energy storage allocation command and the slow energy storage closed-loop command (if any) obtained in step S5203. For example, the sum of the fast energy storage allocation command and the slow energy storage closed-loop command can be used as the closed-loop power indication P2. The closed-loop power indication P2 for the wind power system can be determined based on the open-loop total wind power command and the slow wind power closed-loop command (if any); the closed-loop power indication P2 for the photovoltaic power system can be determined based on the open-loop total photovoltaic command and the slow photovoltaic closed-loop command (if any).

[0146] In step S5205, the open-loop wind power total command and the slow-speed wind power closed-loop total command can be allocated using a wind power allocation algorithm. In step S5206, the open-loop photovoltaic total command and the slow-speed photovoltaic closed-loop total command can be allocated using a photovoltaic allocation algorithm.

[0147] In the example above, such as Figure 5 As shown, control commands can be divided into open-loop control and closed-loop control. This design allows for rapid distribution of control commands through open-loop control, such as feedforward control, improving response speed. Then, closed-loop control, such as PID control, is used to achieve closed-loop control of the actual controlled object's response, realizing error-free regulation.

[0148] In the above process, open-loop control and closed-loop control can be triggered synchronously. However, in the initial stage of control, the calculated value of closed-loop control, such as PID control, is relatively small (e.g., the closed-loop control indication mentioned above), while open-loop control, such as feedforward control, handles most of the control commands. In the later stage of control, more precise adjustments can be made through closed-loop control. The above describes the distribution of control commands to open-loop and closed-loop control, but it is not limited to this. For example, the proportion of control commands can be preset, and the control commands can be distributed according to this proportion before being distributed to open-loop and closed-loop control. The proportion of control commands can be set according to a set coefficient range (e.g., within the range of 0 to 1).

[0149] In the above process, when AGC or frequency regulation auxiliary services are triggered, the energy storage backup power is used first to achieve rapid power increase and decrease response, improve the response speed and accuracy of auxiliary services, and thus improve the service instructions and qualification rate. When the service is not triggered, the wind power system or photovoltaic power system takes priority when increasing power; when decreasing power, the energy storage system takes priority. This can improve the power generation and ensure that the wind power system or photovoltaic power system generates as much power as possible.

[0150] In closed-loop control, fast and slow filtering can be used to decompose the closed-loop control command into fast and slow components. The fast component can be responded to by the energy storage system to quickly eliminate disturbances and smooth the curve; the slow component's response achieves error-free regulation. Here, fast and slow filtering realizes energy substitution, gradually replacing the fast response of the energy storage system with slow control.

[0151] The following describes an example architecture for implementing a control method according to embodiments of the present disclosure. This control method can be a multi-level resource mapping framework based on signal decomposition and resource matching, which can, for example, serve as the core algorithm for coordinated control of a Hybrid Power Plant Controller (HPPC). Here, HPPC can be used for wind-solar-storage energy management, or to achieve integrated multi-energy plant control that meets the multi-objective optimization needs of wind-storage, wind-solar, or wind-solar-storage.

[0152] As an example, Figure 7 An example of an HPPC technology subsystem architecture according to an exemplary embodiment of this disclosure is shown. Figure 7 As shown, the HPPC software module can be developed on systems such as the Integrated Energy Management Platform (IEMP), reusing components such as the IEMP system's platform communication interface and process shell. HPPC has control interfaces with the control and protection subsystem and energy storage subsystem of the integrated wind-solar-storage unit to transmit wind-solar-storage control data and energy storage control data. Here, the integrated wind-solar-storage unit may include a wind turbine main control programmable logic controller (PLC), a wind turbine energy management unit (EMU), a wind power control module, a photovoltaic control module, and an energy storage control module.

[0153] In addition, such as Figure 7 As shown, HPPC can also have data interfaces with AGC systems, power prediction systems, and power trading systems to obtain information such as dispatch instructions and available power, future (e.g., 24-hour) power, and future (e.g., 24-hour) electricity prices.

[0154] As an example, the HPPC software module can be the core software module in an IEMP control system. This module can be jointly invoked by the AGC (Active Control Control) process and the PFR (Frequency Regulation) process. The IEMP platform can perform control command calculations, access device data, and transmit these commands to the HPPC control algorithm module. Here, the output control commands from the control algorithm are output to the control devices through the platform layer, realizing the overall control chain.

[0155] Here, the HPPC software module can be divided into two processes: multi-objective calculation and coordinated control. The multi-objective calculation process generates minute-level active power output plans, which are then sent to the coordinated control process for execution. The coordinated control process implements real-time active power frequency regulation control.

[0156] Figure 8 An example flow of coordinated control of a new energy power station according to an exemplary embodiment of the present disclosure is shown.

[0157] like Figure 8 As shown, the coordination and control layer can receive data and instructions such as AGC, frequency modulation, and multi-objective calculation plans. It then performs calculations for AGC allocation, frequency modulation allocation, inertia allocation, and adjustable functions, obtaining the respective allocation instructions. The calculation results of adjustable power can be sent to the multi-objective calculation module as a data source for reporting and scheduling. The calculation results of AGC, frequency modulation, and inertia can be used to select the allocation method for response conditions based on the received modes.

[0158] Specifically, at the coordination control layer, AGC allocation commands and primary frequency regulation allocation commands can be received through the hybrid station coordination control layer interface. The AGC allocation commands and primary frequency regulation allocation commands can be executed as described above. Figure 5 The control process shown yields active power commands for each of the following: energy storage system (e.g., n individuals); wind power system (e.g., n individuals); and photovoltaic power system (e.g., n individuals). Figure 8 As shown, the active power commands for energy storage, wind power, and photovoltaic power allocated to AGC can be merged with the active power commands for energy storage, wind power, and photovoltaic power allocated to primary frequency regulation and input into the IEMP software platform layer for distribution.

[0159] In addition, such as Figure 8 As shown, the inertia allocation command can be allocated by triggering open-loop control, and the active power allocation algorithm of wind power can be used. The active power allocation result can be connected with steady-state closed-loop control to obtain the final allocation command, which can be allocated in a similar way to AGC allocation.

[0160] In the embodiments of this disclosure, a simulation experiment was also conducted using the control method for a new energy power station according to an exemplary embodiment of this disclosure. As shown in Table 1 below, the embodiments of this disclosure simulated four operating conditions (operating condition 1, operating condition 2, operating condition 3, and operating condition 4).

[0161] Table 1

[0162] In operating condition 1, such as Figure 9A As shown, the active power target jumps from 5MW to 8MW in about 0.75s, and the total power reaches the target. During the adjustment process, the output power of the energy storage system increases rapidly, while the output power of the wind power generation system increases slowly and continuously.

[0163] In operating condition 2, such as Figure 9B As shown, the active power target is maintained at 9MW, and the adjustment accuracy reaches ±1%Pn under wind power fluctuation conditions.

[0164] In operating condition 3, such as Figure 9C As shown, the power of the wind power generation system suddenly dropped from 5MW to 2MW, while the total power of the wind power generation system and the energy storage system remained stable.

[0165] In operating condition 4, such as Figure 9DAs shown, the active power target was first increased from 5MW to 8MW, and then decreased to 5MW. The energy storage system automatically charged and discharged, absorbing the excess power of the wind power generation system and supplementing its power shortage. From Figures 9A to 9D As can be seen, the overall results under the four simulation conditions are in line with expectations, and the coordinated control of the multi-energy system has been achieved.

[0166] According to the control method of the embodiments of this disclosure, on the one hand, fast and accurate power control can be achieved through dual-channel control combining open-loop control and closed-loop control. On the other hand, multiple adjustment components can be obtained by decomposing the power adjustment signal, and then each component can be allocated according to the frequency of each component and the power response characteristics of multiple energy systems. This can achieve coordinated control between dynamic characteristics and control objectives, improve the overall control effect, and enable each energy system to be organically combined to jointly achieve the upper-level control objectives.

[0167] Furthermore, this method can achieve coordinated control of new energy power stations with multiple energy systems, solve the problem of new energy consumption, unleash the potential of system flexibility, realize the coordinated development of source and grid, and provide a set of intelligent coordinated control systems that take into account rapid response and long-term optimization, balance multiple objective conflicts, and adapt to uncertainty. It also provides a systematic solution for the efficient and safe operation of new energy power stations such as integrated wind, solar and energy storage power stations.

[0168] The control method of this disclosure allows power plants to function as controllable, adjustable, and flexible virtual power plants or friendly generation units for the power grid. These units can provide auxiliary services such as inertia regulation, frequency regulation, and voltage regulation, significantly improving the grid's ability to absorb high proportions of renewable energy and enhancing operational safety. For power plants, this increases power generation and provides value-added services; it ensures equipment safety by optimizing control to mitigate impact power surges and extend the lifespan of wind turbines, inverters, and energy storage systems; and it enhances competitiveness, meeting or even exceeding grid connection standards, becoming a high-quality resource prioritized for grid dispatch. Furthermore, for the development of new energy technologies, this method promotes the deep integration of energy management, power electronics, and communication technologies in the power system, accumulating key technologies and engineering experience for building new power systems.

[0169] According to a second aspect of this disclosure, a controller for a new energy power station is provided, comprising: a processor; and a memory storing computer-executable instructions, wherein the computer-executable instructions, when executed by the processor, cause the processor to perform a control method for a new energy power station according to an embodiment of this disclosure.

[0170] As an example, the controller of a renewable energy power station can be an electronic device, which does not have to be a single device, but can also be a collection of any devices or circuits capable of executing the aforementioned instructions (or instruction sets) individually or in combination. The controller can also be part of an integrated control system or system manager, or can be configured to interconnect with a server locally or remotely (e.g., via wireless transmission) through an interface.

[0171] In a controller, the processor may include a central processing unit (CPU), a graphics processing unit (GPU), a programmable logic device, a dedicated processor system, a microcontroller, or a microprocessor. By way of example and not limitation, the processor may also include analog processors, digital processors, microprocessors, multi-core processors, processor arrays, network processors, etc.

[0172] The processor can execute instructions or code stored in memory, which can also store data. Instructions and data can also be sent and received over a network via a network interface device, which can employ any known transport protocol.

[0173] Memory can be integrated with the processor; for example, RAM or flash memory can be housed within an integrated circuit microprocessor. Alternatively, memory can comprise a separate device, such as an external disk drive, storage array, or other storage device that can be used by any database system. Memory and processor can be operatively coupled, or can communicate with each other, for example, via I / O ports, network connections, etc., enabling the processor to read files stored in the memory.

[0174] In addition, the controller may include a video display (such as an LCD) and a user interface (such as a keyboard, mouse, touch input device, etc.). All components of the controller can be interconnected via a bus and / or network.

[0175] According to a third aspect of this disclosure, a new energy power station is provided, the new energy power station including a controller of the new energy power station according to an embodiment of this disclosure, or the new energy power station is communicatively connected to the controller of the new energy power station according to an embodiment of this disclosure.

[0176] In an exemplary embodiment, a computer-readable storage medium may also be provided, which, when executed by a processor of an electronic device, enables the electronic device to perform the control method for a new energy power station as described in the exemplary embodiment above. The computer-readable storage medium may be, for example, a memory including instructions. Optionally, the computer-readable storage medium may be: a read-only memory (ROM), a random access memory (RAM), a random access programmable read-only memory (PROM), an electrically erasable programmable read-only memory (EEPROM), a dynamic random access memory (DRAM), a static random access memory (SRAM), flash memory, non-volatile memory, a CD-ROM, a CD-R, a CD+R, a CD-RW, a CD+RW, a DVD-ROM, a DVD-R, a DVD+R, a DVD-RW, a DVD+RW, a DVD-RAM, a BD-ROM, a BD-R, or a BD-R... LTH, BD-RE, Blu-ray or optical disc storage, hard disk drive (HDD), solid-state drive (SSD), card storage (such as multimedia cards, secure digital (SD) cards, or ultra-fast digital (XD) cards), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, and any other device configured to store a computer program and any associated data, data files, and data structures in a non-transitory manner and to provide the computer program and any associated data, data files, and data structures to a processor or computer so that the processor or computer can execute the computer program. The computer program in the aforementioned computer-readable storage medium can run in an environment deployed in computer devices such as clients, hosts, agent devices, servers, etc. Furthermore, in one example, the computer program and any associated data, data files, and data structures are distributed across a networked computer system, such that the computer program and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner through one or more processors or computers.

[0177] According to exemplary embodiments of the present disclosure, a computer program product may also be provided, the computer program product including computer-executable instructions, which, when executed by at least one processor, implement a control method for a new energy power station with a power converter according to exemplary embodiments of the present disclosure.

[0178] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

[0179] Furthermore, it should be noted that although several examples of each step have been described above with reference to the specific accompanying drawings, it should be understood that the embodiments of this disclosure are not limited to the combinations given in the examples. The steps appearing in different drawings can be combined, and the execution order of each step can be changed, which will not be exhaustive here.

[0180] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A control method for a new energy power station, characterized in that, The new energy power station includes multiple energy systems, including a wind power generation system, wherein the control method includes: The first power regulation signal and the second power regulation signal of the new energy power station are determined according to the power control command of the power system. Based on the first power adjustment signal, multiple power adjustment signal components are determined; Based on the frequency of the multiple power regulation signal components and the power response characteristics of the multiple energy systems, the multiple power regulation signal components are allocated to obtain a closed-loop power indication for closed-loop control allocated to each energy system. Based on the second power regulation signal, an open-loop power indication for open-loop control is determined for at least a portion of the energy systems in the plurality of energy systems. The output power of each energy system is controlled based on the closed-loop power indication and the open-loop power indication.

2. The control method according to claim 1, characterized in that, The plurality of energy systems includes a first energy system and a second energy system, wherein the power response speed of the first energy system is higher than that of the second energy system, and the second energy system includes the wind power generation system. The step of allocating the multiple power regulation signal components according to their frequencies and the power response characteristics of the multiple energy systems to obtain a closed-loop power indication for closed-loop control allocated to each energy system includes: A first allocation is performed on the first power adjustment signal component corresponding to the first frequency band among the plurality of power adjustment signal components to obtain a first power indication for the first energy system; A second allocation is performed on the power adjustment signal components other than the first power adjustment signal component that correspond to frequency bands lower than the first frequency, to obtain a second power indication for the first energy system and a power indication for the second energy system.

3. The control method according to claim 2, characterized in that, The step of performing a first allocation on the first power regulation signal component corresponding to the first frequency band among the plurality of power regulation signal components to obtain a first power indication for the first energy system includes: Obtain the adjustable capacity or health status of the first energy system; Based on the adjustable capacity or health status of the first energy system, the first power regulation signal component is assigned to the first energy system to determine the first power indication of the first energy system.

4. The control method according to claim 2 or 3, characterized in that, The second allocation of the power regulation signal components (excluding the first power regulation signal component) that correspond to frequency bands lower than the first frequency among the plurality of power regulation signal components to obtain a second power indication for the first energy system and a power indication for the second energy system includes: Based on the power output capacity of the first energy system and the first power indication, determine the remaining power output capacity of the first energy system under the condition of satisfying the first allocation; Based on the remaining power output capacity of the first energy system and the priorities of the first and second energy systems, other power regulation signal components among the plurality of power regulation signal components are allocated to obtain a second power indication for the first energy system and a power indication for the second energy system.

5. The control method according to claim 4, characterized in that, The other power adjustment signal components include a second power adjustment signal component and a third power adjustment signal component, wherein the frequency band corresponding to the second power adjustment signal component is higher than the frequency band corresponding to the third power adjustment signal component. The step of performing the second allocation on other power regulation signal components among the plurality of power regulation signal components based on the remaining power output capacity of the first energy system and the priorities of the first energy system and the second energy system, to obtain a second power indication for the first energy system and a power indication for the second energy system, includes: Based on the remaining power output capacity of the first energy system and the priority of the first energy system and the second energy system, the second power regulation signal component is allocated between the first energy system and the second energy system to obtain a second power indication for the first energy system and a first power indication for the second energy system. The third power adjustment signal component is assigned to the second energy system to obtain a second power indication for the second energy system.

6. The control method according to claim 1, characterized in that, The plurality of energy systems includes a first energy system and a second energy system, wherein the power response speed of the first energy system is higher than that of the second energy system, and the second energy system includes the wind power generation system. The step of determining the open-loop power indication for open-loop control of at least a portion of the energy systems in the plurality of energy systems based on the second power adjustment signal includes: In response to the power control command, an auxiliary power service is triggered. Based on the second power regulation signal, determine the open-loop power indication allocated to the first energy system; In response to the power control command not triggering an auxiliary power service, perform the following operations: Based on the power adjustment direction of the second power adjustment signal, at least a portion of the energy system is determined in the first energy system and the second energy system, wherein the power adjustment direction includes increasing power and decreasing power; Based on the second power regulation signal, an open-loop power indication allocated to the at least part of the energy system is determined.

7. The control method according to claim 6, characterized in that, The first energy system includes an energy storage system, and the second energy system includes the wind power generation system and the photovoltaic power generation system. The step of determining at least a portion of the energy system in the first energy system and the second energy system according to the power adjustment direction of the second power adjustment signal includes: In response to the second power adjustment signal being a power boosting signal, the first energy system is identified as one of the at least a portion of the energy systems; In response to the second power adjustment signal being a power reduction signal, the second energy system is identified as at least a portion of the energy systems.

8. The control method according to claim 1, characterized in that, The step of determining multiple power adjustment signal components based on the first power adjustment signal includes: The first power adjustment signal is filtered according to multiple preset frequency bands to obtain multiple power adjustment signal components, wherein each power adjustment signal component corresponds to a different frequency band.

9. The control method according to claim 2 or 6, characterized in that, The first power adjustment signal is determined based on the power control command and the most recently issued open-loop control command for the entire new energy power station, and the second power adjustment signal is determined based on the power control command and the total power of the new energy power station.

10. A controller for a new energy power station, characterized in that, include: processor; Memory that stores executable instructions for a computer. When the computer-executable instructions are executed by the processor, the processor causes the processor to execute the control method for the new energy power station according to any one of claims 1 to 9.

11. A new energy power station, characterized in that, The new energy power station includes a controller for the new energy power station according to claim 10, or the new energy power station is communicatively connected to the controller for the new energy power station according to claim 10.

12. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by a processor, the processor performs the control method for a new energy power station according to any one of claims 1 to 9.

13. A computer program product, characterized in that, The computer program product includes computer instructions, which, when executed by a processor, implement the control method for a new energy power station according to any one of claims 1 to 9.

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