Centralized energy management method and device for new energy power generation base

Abstract

The present disclosure relates to a centralized energy management method and device for a new energy power generation base. The new energy power generation base includes a plurality of stations, and the method includes: obtaining the station model data of each station, the station model data including the station's operating data, active power control configuration parameters, active power control adjustment instructions, and active power control performance indicators; based on the station model data and the total target output of the new energy power generation base, determining the target output of each station according to a preset energy management strategy; and controlling the output of each power generation unit in each station according to the target output of each station. By adopting the present disclosure, it is possible to support the access of energy management systems of different manufacturers, uniformly model the active power control models of each station, support the assessment requirements of different power grid areas, support a variety of allocation strategies, and provide security protection for the power grid system at the same time, so as to achieve the stable, safe and economical power generation goals of the new energy power generation base.

Description

Technical Field

[0001] The present disclosure relates to the technical field of renewable energy power generation, and more specifically, to a centralized energy management method and device for a renewable energy power generation base. Background Art

[0002] Different from traditional power plants, new energy power generation bases usually have a capacity of several million kilowatts and are characterized by high concentration, large scale, industrialization, multiple manufacturers, multiple models, multiple platforms, and complex systems. Energy regulation and control of new energy power generation bases are particularly important, which is not only related to the power generation efficiency of new energy power generation bases, but also to the safety of the power grid.

[0003] At present, the automatic generation control (AGC) substation is generally used for active power control and regulation. In terms of data modeling, collection cycle, communication protocol, data validity processing, network delay, control real-time, power allocation algorithm, etc., the AGC substation aggregation control method cannot guarantee the energy regulation and control advantages of the new energy power generation base project. There are problems such as insufficient system compatibility, poor control effect, poor power generation economy, poor grid friendliness, and simple output allocation method. It is difficult to meet the requirements of grid dispatch assessment, and there are even safety risks such as disconnection from the grid, load reduction, and power oscillation. Summary of the invention

[0004] In view of the active power control of a renewable energy power generation base, the present disclosure proposes a centralized energy management method and device for the renewable energy power generation base, which can achieve optimal economy while meeting the grid dispatching requirements.

[0005] According to one aspect of the present disclosure, there is provided a centralized energy management method for a new energy power generation base, wherein the new energy power generation base includes a plurality of sites, and the centralized energy management method may include: acquiring site model data of each site, wherein the site model data includes operation data of the site, active power control configuration parameters, active power control adjustment instructions, and active power control performance indicators; determining a target output of each site according to a preset energy management strategy based on the site model data and the total target output of the new energy power generation base; and controlling the output of each power generation unit in each site according to the target output of each site.

[0006] According to another aspect of the present disclosure, there is provided a centralized energy management device for a new energy power generation base, wherein the new energy power generation base comprises a plurality of stations, and the centralized energy management device may comprise: a data communication unit, for acquiring station model data of each station, wherein the station model data comprises the operation data of the station, active power control configuration parameters, active power control adjustment instructions and active power control performance indicators; an allocation strategy unit, for determining the target output of each station according to a preset energy management strategy based on the station model data and the total target output of the new energy power generation base; and a station control unit, for controlling the output of each power generation unit in each station according to the target output of each station.

[0007] According to another aspect of the present disclosure, there is provided a computing system comprising at least one computing device and at least one storage device storing instructions, wherein when the instructions are executed by the at least one computing device, the at least one computing device is prompted to execute the centralized energy management method for the new energy power generation base as described above.

[0008] According to another aspect of the present disclosure, a computer-readable storage medium storing instructions is provided, which, when executed by at least one computing device, prompts the at least one computing device to execute the centralized energy management method for the new energy power generation base as described above.

[0009] By adopting the present disclosure, it is possible to support the access of energy management systems of different manufacturers, unify the active power control models of various sites, support the assessment requirements of different power grid areas, support multiple allocation strategies, and provide security protection for the power grid system, so as to achieve the stable, safe and economical power generation goals of new energy power generation bases. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The above and / or other objects and advantages of the present disclosure will become more apparent through the following description of embodiments in conjunction with the accompanying drawings, in which:

[0011] Figure 1 is a schematic diagram showing the composition of a new energy power generation base;

[0012] Figure 2 is a flow chart showing a centralized energy management method of a new energy power generation base according to an exemplary embodiment of the present disclosure;

[0013] Figure 3 is a block diagram illustrating a method for determining a target output of each station according to an exemplary embodiment of the present disclosure;

[0014] Figure 4 is a schematic diagram showing the communication between a centralized energy management system and a station energy management system;

[0015] Figure 5 is a flow chart illustrating a safety monitoring method according to an exemplary embodiment of the present disclosure;

[0016] Figure 6 is a schematic diagram illustrating a performance evaluation method according to an exemplary embodiment of the present disclosure;

[0017] Figure 7 is a diagram showing an indicator calculation table of a centralized energy management system according to an exemplary embodiment of the present disclosure;

[0018] Figure 8 is a block diagram showing a centralized energy management device of a new energy power generation base according to an exemplary embodiment of the present disclosure;

[0019] Fig. 9 is a schematic diagram schematically illustrating the workflow of a centralized energy management method and apparatus for a new energy power generation base according to an exemplary embodiment of the present disclosure;

[0020] Fig.10 is a block diagram illustrating a computing system including at least one computing device and at least one storage device storing instructions according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0021] Below, in conjunction with the accompanying drawings, a description of a specific embodiment is provided to help the reader obtain a comprehensive understanding of the method, device and / or system described herein. However, after understanding the disclosure of the present application, various changes, modifications and equivalents of the method, device and / or system described herein will be clear. For example, the order of operations described herein is only an example and is not limited to those orders set forth herein, but can be changed as will be clear after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, for greater clarity and conciseness, the description of features known in the art may be omitted.

[0022] New energy (also known as unconventional energy) refers to various energy forms other than traditional energy (for example, solar energy, geothermal energy, wind energy, ocean energy, biomass energy, and nuclear fusion energy, etc.). In the following, the description is mainly based on the example that a new energy power generation base includes multiple wind farms, but it should be clear that the new energy power generation base may include a station that uses other forms of new energy to generate electricity (for example, multiple photovoltaic power stations or a combination of wind farms and photovoltaic power stations).

[0023] Figure 1 It is a schematic diagram showing the composition of a new energy power generation base.

[0024] Reference Figure 1, a new energy power generation base may include multiple sites (e.g., wind farms), each of which may include a site energy management system (EMS) and one or more power generation units (e.g., wind turbines). Figure 1 As shown, the new energy power generation base may also include a centralized energy management system (EMS) and an AGC master station.

[0025] In the example, the centralized EMS belongs to the centralized control layer and is deployed in the centralized monitoring center of the renewable energy power generation base; the AGC master station belongs to the master station layer and is deployed in the power grid dispatching center; the station EMS belongs to the station layer and is deployed in each station of the renewable energy power generation base, and is used to regulate the output of each power generation unit in the station. The centralized EMS is used to monitor the operating status of each station and dynamically calculate the planned output of each station according to the total planned output given by the AGC master station, and send the planned output of each station to the station EMS of each station, and the station EMS of each station controls each power generation unit in the station according to the received planned output.

[0026] Figure 2 is a flow chart illustrating a centralized energy management method of a new energy power generation base according to an exemplary embodiment of the present disclosure.

[0027] The centralized energy management method according to the exemplary embodiment of the present disclosure takes into account aspects such as multi-station EMS access, assessment and adaptation of power grids in different regions, active power modeling of each station EMS, system safety monitoring and emergency handling, active power regulation performance index evaluation, and power allocation strategy.

[0028] As mentioned above, the new energy power generation base includes at least one station. Figure 2 In step S201, the station model data of each station is first obtained, and the station model data includes parameters such as the station's operating data, active power control configuration parameters, active power control adjustment instructions, and active power control performance indicators.

[0029] The following will describe in detail the station's operating data, active power control configuration parameters, active power control adjustment instructions, and active power control performance indicators with examples.

[0030] In the example, the operation data of the station may include at least one of active power, reactive power, actual power, theoretical power, available power, installed capacity, startup capacity, active controllable upper limit, active controllable lower limit and active control state. In addition, from the perspective of data type, the operation data of the station includes telesignaling type and telemetry type data. The active control state includes at least one of the active automatic state, remote local state, active increase blocking state, active decrease blocking state and full-field power limit state of the data type telesignaling. In the example, the telemetry type operation data of the station includes at least one of the active power, frequency, active controllable upper limit, active controllable lower limit, planned output feedback, theoretical power, available power and startup capacity of the station. The data types of the above-mentioned operation data and the meaning of the data itself or the corresponding meaning of data in different states are shown in Table 1.

[0031] Table 1 Model data table

[0032]

[0033]

[0034] As an example, the active power control configuration parameters of the station include at least one of the following data: station number, rated capacity, grid-connected electricity price, allocation ratio, regulation dead zone, control priority, and active power regulation static deviation, and may be floating point data. The rated capacity of the station refers to the rated power generation capacity of the station, the allocation ratio of the station refers to the output ratio allocated to the station in a fixed allocation mode based on a fixed ratio algorithm for output allocation, and the regulation dead zone of the station refers to the station being unable to send control instructions when the dead zone is lower than the regulation dead zone.

[0035] The active power control adjustment instructions of the station include planned output instructions and / or emergency load cutting-out instructions, wherein the data type of the planned output instruction is remote adjustment and indicates the planned output value of the station, and the data type of the emergency load cutting-out instruction is remote control and is used to control whether to cut out the load of the station. When the load of the station is cut out, the station does not execute the planned output.

[0036] The active power control performance index of the station includes at least one of active power regulation steady-state deviation, active power regulation maximum deviation, active power regulation minimum deviation, active power control response time, active power control adjustment time, active power regulation times, active power regulation qualified times, active power regulation qualified rate and active power regulation accuracy. The specific meaning or definition of the active power control performance index of the station is shown in Table 2.

[0037] Table 2 Model performance table

[0038]

[0039] In step S202, based on the station model data and the total target output of the new energy power generation base, the target output of each station is determined according to a preset energy management strategy.

[0040] The preset energy management strategy may include at least one of a fixed ratio algorithm, an economic optimal algorithm and a competitive power generation algorithm. The following will specifically describe the implementation process of energy management by using the fixed ratio algorithm, the economic optimal algorithm and the competitive power generation algorithm respectively.

[0041] First of all, a fixed ratio means that a fixed output allocation ratio is set for different sites.

[0042] The fixed ratio algorithm can be explained by the following equation:

[0043]

[0044]

[0045] Among them, K i is the default setting ratio of each station, P G Contribute to the power grid plan, P Gi is the target output of each station, and n is the number of stations.

[0046] As shown in the above formula, the fixed ratio algorithm is used to assign a fixed ratio value to the output of each station. The advantages of the fixed ratio algorithm are simple design, flexible configuration and easy implementation.

[0047] Secondly, economic optimization means constructing a linear programming problem under the constraints of a linear model based on the total target output of the new energy power generation base, the actual power, theoretical power and installed capacity of each station, and solving the target output of each station to ensure optimal economy. The input weight indicators of the above linear programming problem include at least one of the on-grid electricity price per unit of generated power, the amount of power lost in the electric field, the health level and the power generation of the electric field. When using the economic optimal algorithm to solve the target output of each station, the adjustment priority can be set to dynamically adjust the output of each station.

[0048] The linear programming solution function and constraints constructed in the economic optimal algorithm are shown in the following equation:

[0049]

[0050]

[0051] Among them, z represents the electricity sales revenue per unit time of the new energy base, P G Contribute to a given plan, P ri is the actual output of each station, P tiis the theoretical power of each station, P Capi is the installed capacity of each station, α i is the on-grid electricity price per unit power generated at each station, and n is the number of stations.

[0052] In the economic optimal algorithm, the allocation strategy is transformed into a linear programming problem based on linear model constraints. The target output P of each station is determined by solving the linear programming function. Gi .

[0053] Thirdly, the competitive power generation algorithm specifically includes: determining the competitive evaluation function based on the historical data of the active control performance index of the station; determining the basic weighted power of each station based on the predetermined basic weight; determining the competitive weighted power of each station based on the competitive evaluation function; determining the target output of each station according to the basic weighted power of each station and the competitive weighted power of each station. The key to determining the target output of each station using the competitive power generation algorithm is to calculate the weight based on the performance index calculated by the active regulation evaluation algorithm, and adopt power generation reward and punishment distribution for each station (that is, increase the load of the station with good regulation performance, and reduce the load of the station with poor regulation performance).

[0054] The competitive power generation algorithm can be expressed by the following equation:

[0055]

[0056] ΔP G =P G -P r

[0057] ΔP Gi =P Capi -P ri

[0058] Among them, y is the dependent variable of the optimization algorithm, P G Contribute to a given plan, P r is the sum of active power of each station, P Capi is the installed capacity of each station, P ri is the active power of each station, α is the basic weight of power regulation in competitive power generation mode, f i (d 1i , d 2i ,......,d ki ) is a competitive evaluation function calculated based on historical performance indicators of active power regulation steady-state deviation, active power regulation maximum deviation, active power regulation minimum deviation, active power control response time, active power control regulation time, etc. for each station, and is defined as follows:

[0059]

[0060]

[0061]

[0062] Among them, d 1i , d 2i ,......,d ki represents the k performance indicators of the i-th station (for example, active power regulation steady-state deviation, active power regulation maximum deviation, active power regulation minimum deviation, active power control response time, active power control regulation time, etc.), d1, d2, ..., d k are the standard deviations of the k performance indicators of the ith station, d q is the standard deviation of the qth performance indicator among the k performance indicators, d qj is the j-th historical value of the q-th performance indicator among the k performance indicators, is the historical average value of the qth performance indicator among the k performance indicators, D i is the geometric mean of the k performance indicators of the ith station, D j is the geometric mean of the k performance indicators of the jth station, k is the number of performance indicators of each station, m is the total amount of historical data of each performance indicator of each station, and n is the number of stations.

[0063] In the competitive power generation algorithm, as the sub-regional competition evaluation model is optimized and self-learned, its competition weight power can be adjusted appropriately to achieve the optimal control effect. For example, in the initial state, the basic weight α is 90%, the competition weight is 10%, and the station regulation performance is good based on the historical data of the active control performance index. Then, the competition weight is increased to increase the competition weight power, thereby increasing the target output of the station. Compared with the fixed ratio algorithm, by dynamically adjusting the target output of each station, the optimal economy and power generation efficiency of the new energy power generation base can be guaranteed.

[0064] After the target output of each station is determined according to step S202, the output of each power generation unit in each station is controlled (step S203).

[0065] In addition, the centralized energy management method of the new energy power generation base according to the exemplary embodiment of the present disclosure further includes: in response to determining that at least one of the multiple stations is abnormal, generating an alarm message and cutting off the load of the abnormal station. Figure 5 A safety monitoring method according to an exemplary embodiment of the present disclosure is described.

[0066] According to the exemplary embodiment of the present disclosure, the centralized energy management method of the new energy power generation base also includes: determining a given planned output based on a power grid instruction, determining the given planned output as the total target output of the new energy power generation base, and determining the difference between the given planned output and the actual active output of the new energy power generation base as the target regulation output of the new energy power generation base.

[0067] In the example, the power grid instruction includes any one of a real-time instruction mode, a plan curve mode, a local instruction mode, and a free power generation mode. Among them, the real-time instruction mode refers to a mode of real-time tracking of a given planned output, the plan curve mode refers to a mode of executing a planned output curve at fixed time intervals, the local instruction mode refers to a mode of adopting local control without executing a given planned output, and the free power generation mode refers to a mode of adopting a rated capacity for a given planned output so that the station can generate power freely without power restriction.

[0068] In the example, the target adjustment output ΔP is expressed as ΔP=P G -P r , target output P t It is represented by P t =P G , where P G Contribute to a given plan, P r Make actual contributions.

[0069] According to the exemplary embodiment of the present disclosure, the centralized energy management method of the new energy power generation base also includes: determining a given planned output based on a power grid instruction, determining a rate of change margin within one or more durations, wherein the rate of change margin is the difference between the maximum active power and the minimum active power of the new energy power generation base within the corresponding duration, and then determining the difference between the given planned output and the actual active output of the new energy power generation base and the minimum value of the rate of change margin within the one or more durations as the target regulated output of the new energy power generation base, and finally, determining the sum of the target regulated output of the new energy power generation base and the actual active output of the new energy power generation base as the total target output of the new energy power generation base.

[0070] In the example, the one-minute rate of change margin ΔP one It is expressed as ΔP one =P omax -P omin , ten-minute rate of change margin ΔP ten It is expressed as ΔP ten =P tmax -P tmin , a given load margin is expressed as the difference between a given planned output and the actual active output of a renewable energy power generation base (i.e., ΔP G =P G -Pr ), the target regulation output is determined as the minimum value among the one-minute rate of change margin, the ten-minute rate of change margin, and the given load margin (i.e., ΔP = min(ΔP one , ΔP ten , ΔP G ), the target output is determined as the sum of the target regulation output and the actual active output of the new energy power generation base (i.e., P t =ΔP+P r ), where P omax is the maximum active power in one minute, P omin is the minimum active power in one minute, P tmax is the maximum active power in ten minutes, P tmin is the minimum active power in ten minutes, P G Contribute to a given plan, P r Make actual contributions.

[0071] In the above examples, a one-minute change rate margin and a ten-minute change rate margin are used as examples for description, but it should be clear that in specific implementation, those skilled in the art may calculate the change rate margin for other time periods of any length.

[0072] In addition, the centralized energy management method of the new energy power generation base according to the exemplary embodiment of the present disclosure further includes: determining the active power control performance index of each station within a preset period based on the station model data of each station.

[0073] In the following, reference will be made to Figure 7 Describes the active power control performance indicators within a preset period.

[0074] By adopting the above-mentioned centralized energy management method, the stable, safe and economical power generation goals of the new energy power generation base can be achieved.

[0075] Figure 3 is a block diagram illustrating a method of determining a target output of each station according to an exemplary embodiment of the present disclosure.

[0076] Reference Figure 3 According to an exemplary embodiment of the present disclosure, a method for determining the target output of each station includes: determining the target output P of the new energy power generation base based on the grid area assessment parameter, the given planned output and the sum of the actual active output of each station. t The overall control process adopts a closed-loop control method to specifically determine the target output P of the new energy power generation base. t The method of adjusting the output ΔP to the target can refer to Figure 2 Description.

[0077] Then, based on the site model data of each site and the total target output of the new energy power generation base, the target output P of each site is determined according to the preset energy management strategy. Gi (1≤i≤n, n is the number of stations). The preset energy management strategy includes at least one of a fixed ratio algorithm, an economic optimal algorithm, and a competitive power generation algorithm. Figure 1 The fixed ratio algorithm, economic optimal algorithm and competitive power generation algorithm have been described in the description and will not be repeated here.

[0078] Figure 4 is a schematic diagram showing the communication between a centralized energy management system and a site energy management system.

[0079] The centralized energy management system according to the exemplary embodiment of the present disclosure can support multiple communication protocols (including but not limited to Modbus-Tcp, IEC104, IEC61850, OPCUA, DNP3), support data access of major equipment of each station (e.g., wind turbine, booster station, wind tower), support data types such as telemetry, telesignaling, telepulse, teleadjustment, and remote control. The centralized energy management system can verify, process and store the collected data, and shield the differences between models and communication protocols of various manufacturers at the business layer.

[0080] like Figure 4 As shown, the centralized energy management system includes an EMS communication interface and a data bus. The EMS communication interface includes an instruction interface and a collection interface. According to the communication protocol requirements of the station, the corresponding communication protocol in the communication protocol library is loaded to complete the communication of data and control instructions between the centralized EMS and the station EMS. The data bus is the data exchange medium between the modules in the centralized energy management system.

[0081] According to the communication protocol requirements of different stations, the EMS communication interface configures the selected communication protocol, and configures the relevant communication parameters (including but not limited to IP address, port number, data collection method, data collection time, etc.) according to the requirements of different stations. After collecting the EMS data of each station, the EMS communication interface processes the data (including but not limited to type conversion, coefficient conversion, etc.), and then sends the processed data to the data bus. When the centralized energy management system needs to send control instructions to each station EMS, it reads the instruction information in the data bus, the instruction generation module encodes the instruction information into the system internal instruction format, the instruction forwarding module calls the instruction interface in the EMS communication interface, and the instruction interface in the EMS communication interface sends the instruction to each station EMS.

[0082] In addition, the centralized energy management system also includes a power grid dispatching communication interface, which loads the corresponding communication protocol in the communication protocol library according to the power grid communication protocol requirements to transmit data and instructions between the centralized energy management system and the AGC master station.

[0083] Figure 5 is a flow chart illustrating a safety monitoring method according to an exemplary embodiment of the present disclosure.

[0084] In order to ensure the control safety of the new energy power generation base, the safety monitoring module monitors the station EMS data. When the station EMS is abnormal, the electric field control is locked and an alarm message is generated. When an emergency occurs, the emergency action module needs to be called to cut off the corresponding station load and report the emergency to the power grid dispatch. After the accident is handled, the system can resume normal operation and run in accordance with the dispatch instructions. At the same time, the centralized energy system can also support safety rule management (for example, adding, reducing, and modifying safety rules (including but not limited to safety monitoring data, safety criteria and processing methods, etc.)).

[0085] Reference Figure 5 The given embodiment mainly implements frequency safety monitoring through the following steps:

[0086] Step S501, start the safety monitoring method.

[0087] Step S502, load safety rules. Safety rules include but are not limited to safety monitoring data, safety criteria and processing methods. In this example, the safety rules may indicate: the data to be monitored is the station EMS frequency; the safety criterion is whether the frequency exceeds the cut-out limit; the processing methods include load limit control, emergency cut-out of station load, etc.

[0088] Step S503: Use a centralized energy management system to monitor the EMS data of each station. Figure 5 An example is shown in which the station EMS frequency is used as a safety criterion, but it should be clear that the safety criterion of the safety monitoring method according to the present disclosure may also be other station EMS data.

[0089] Step S504, determining whether the station EMS has been switched out. For example, when the station EMS frequency previously exceeded the limit, the station EMS is in a switched out state when step S504 is executed, and it is necessary to further determine whether the station EMS frequency has been restored.

[0090] Step S505: If it is determined according to step S504 that the station EMS has been switched out, it is determined whether the station EMS frequency has been restored. If the station EMS frequency has not been restored, it is possible to return to step S503 to continue monitoring the EMS data of each station.

[0091] Step S506: If it is determined according to step S504 that the station EMS has not been switched out, then determine whether the station EMS frequency exceeds the limit. If it is determined that the station EMS frequency does not exceed the limit, then continue to monitor the EMS data of each station (step S503).

[0092] Step S507: If it is determined in step S505 that the station EMS frequency has been restored, the station load is restored and the EMS data of each station is continuously monitored after the station load is restored.

[0093] Step S508: If it is determined in step S506 that the station EMS frequency is out of limit, determine whether the frequency exceeds the cut-out limit.

[0094] Step S509: If it is determined in step S508 that the frequency has exceeded the cut-out limit, the station load is urgently cut out, and the process goes to step S503 to continue monitoring the EMS data of each station.

[0095] Step S510: If it is determined in step S508 that the frequency does not exceed the cut-out limit, load limit control is performed, and step S503 is used to continue monitoring the EMS data of each station.

[0096] By adopting the safety monitoring method according to the exemplary embodiment of the present disclosure, abnormal conditions of the station can be discovered and handled in a timely manner and the control safety of the new energy power generation base can be guaranteed.

[0097] Figure 6 is a schematic diagram illustrating a performance evaluation method according to an exemplary embodiment of the present disclosure.

[0098] According to the performance evaluation method disclosed in the present invention, indicators such as the active power response time, active power regulation time, and active power regulation accuracy of the station can be calculated in real time, which can provide a basis for the active power control of the new energy power generation base, and can also provide a basis for the evaluation, problem tracking, and improvement of the active power execution status of each station.

[0099] like Figure 6 As shown, the performance evaluation method according to the exemplary embodiment of the present disclosure can read the station EMS model data in real time, calculate each performance indicator according to the indicator algorithm and store each performance indicator for subsequent reading by the allocation strategy unit. In addition, the performance evaluation method according to the exemplary embodiment of the present disclosure can also support the performance indicator editing function. When executing the performance indicator editing function, it is necessary to import the indicators to be calculated, related data points, indicator calculation formulas, calculation cycles and storage methods, etc., and the performance indicators can also be managed (for example, increase, decrease, and modify performance indicators).

[0100] Figure 7 is a diagram illustrating an indicator calculation table of a centralized energy management system according to an exemplary embodiment of the present disclosure.

[0101] The centralized energy management system according to the exemplary embodiment of the present disclosure may support the function of exporting a performance indicator calculation table. Figure 7 As shown, the EMS index calculation table may include items such as wind farm name, start and end time, control time, response time, adjustment time, adjustment step, whether control is effective, minimum adjustment deviation, maximum adjustment deviation, adjustment steady-state error, and whether adjustment is qualified. As mentioned above, the centralized energy management system can specify the start and end time and performance indicators as needed and derive a calculation table including the required performance indicators. Figure 7 The example shown is a wind farm, but it should be understood that the function of exporting the performance indicator calculation table is also applicable to other types of farms.

[0102] By exporting the performance indicator calculation table, you can clearly view the specific situation of each control indicator within the selected time period, which is helpful for understanding the control effect of each station.

[0103] Figure 8 is a block diagram illustrating a centralized energy management device of a new energy power generation base according to an exemplary embodiment of the present disclosure.

[0104] In an example, as described above, the new energy power generation base may include multiple sites. Figure 8 According to the exemplary embodiment of the present disclosure, the centralized energy management device 800 of the new energy power generation base includes: a data communication unit 801, which is used to obtain the station model data of each station, and the station model data includes the operation data of the station, active control configuration parameters, active control adjustment instructions and active control performance indicators; an allocation strategy unit 802, which is used to determine the target output of each station according to a preset energy management strategy based on the station model data and the total target output of the new energy power generation base; a station control unit 803, which is used to control the output of each power generation unit in each station according to the target output of each station. The operating data includes at least one of active power, reactive power, actual power, theoretical power, available power, installed capacity, startup capacity, active controllable upper limit, active controllable lower limit and active control status; the active control configuration parameters include at least one of site number, rated capacity, grid-connected electricity price, allocation ratio, regulation dead zone, control priority and active regulation static deviation; the active control regulation instruction includes planned output instruction and / or emergency load cut-out instruction; the active control performance index includes at least one of active regulation steady-state deviation, active regulation maximum deviation, active regulation minimum deviation, active control response time, active control regulation time, active regulation times, active regulation qualified times, active regulation qualified rate and active power regulation accuracy.

[0105] According to the exemplary embodiment of the present disclosure, the centralized energy management device 800 of the new energy power generation base also includes a safety monitoring unit 804, which is configured to: in response to determining that at least one of the multiple stations has an abnormality, generate an alarm message and cut off the load of the station where the abnormality occurs.

[0106] In the example, the allocation strategy unit 802 is configured to: construct a linear programming problem under linear mode constraints based on the total target output of the new energy power generation base, the actual power, theoretical power and installed capacity of each station, and solve to obtain the target output of each station. The input weight index of the linear programming problem includes at least one of the grid-connected electricity price per unit power generation, the power loss of the electric field, the health level and the power generation of the electric field.

[0107] In the example, the allocation strategy unit 802 is configured to: determine a competition evaluation function based on historical data of active control performance indicators; determine a basic weighted power of each station based on a predetermined basic weight; determine the competition weighted power of each station based on the competition evaluation function; determine the target output of each station according to the basic weighted power of each station and the competition weighted power of each station.

[0108] In addition, the centralized energy management device 800 of the new energy power generation base according to the exemplary embodiment of the present disclosure further includes a power grid instruction parsing unit 806. In one example, the power grid instruction parsing unit 806 is configured to: determine a given planned output based on the power grid instruction; determine the given planned output as the total target output of the new energy power generation base, and determine the difference between the given planned output and the actual active output of the new energy power generation base as the target adjustment output of the new energy power generation base. In another example, the power grid instruction parsing unit 806 is configured to: determine a given planned output based on the power grid instruction; determine the rate of change margin within one or more durations, the rate of change margin being the difference between the maximum active power and the minimum active power of the new energy power generation base within the corresponding duration; determine the difference between the given planned output and the actual active output of the new energy power generation base and the minimum value of the rate of change margin within the one or more durations as the target adjustment output of the new energy power generation base; determine the sum of the target adjustment output of the new energy power generation base and the actual active output of the new energy power generation base as the total target output of the new energy power generation base.

[0109] In addition, according to the exemplary embodiment of the present disclosure, the centralized energy management device 800 of the new energy power generation base also includes a performance evaluation unit 805, which is configured to determine the active control performance index of each station within a preset period based on the station model data of each station.

[0110] The centralized energy management device 800 of the new energy power generation base according to the exemplary embodiment of the present disclosure can solve the problems of complex data access of various stations in the new energy power generation base, poor control coordination, low overall control accuracy, single load distribution method, etc., thereby ensuring the control stability, safety, grid friendliness and optimal economy of the new energy power generation base.

[0111] Fig. 9 is a diagram schematically illustrating a workflow of a centralized energy management method and apparatus for a new energy power generation base according to an exemplary embodiment of the present disclosure.

[0112] like Fig. 9 As shown, the power grid instruction parsing module parses and calculates the given planned output according to the power grid area selection input and the power grid assessment requirements and parameters, obtains the total target output of the new energy power generation base, and inputs the total target output of the new energy power generation base into the allocation strategy module for station output allocation. The allocation strategy module receives the strategy selection, calculates the target output of each station according to the station model data and the total target output of the new energy base, and calls the station EMS communication interface to send the control instruction to each station EMS. In addition, it can also communicate with the power grid dispatching AGC master station through the power grid dispatching communication interface (supporting IEC61850, IEC104, OPCUA, Modbus-Tcp and other communication protocols), receive dispatching instructions and upload data to the power grid dispatching center. The power grid dispatching communication interface supports the access of power grid AGC master stations in different regions and adapts to different power grid assessment methods.

[0113] The performance evaluation module can calculate the control performance indicators of each station in real time according to the total target output of the new energy power generation base and the station model data of each station, and store the calculation results in the station model data for use by the allocation strategy module.

[0114] In addition, the safety monitoring, system alarm and emergency action modules perform the following operations: when at least one of the multiple station EMSs is abnormal, a reasonable control method is adopted and an alarm message is generated for human intervention; in the event of a power system accident or a special emergency (for example, a power grid failure or excessive power frequency), the entire station load can be cut off, and the power system accident or special emergency can be reported to the power grid dispatching center, and after the accident is handled, the normal operating state can be restored and connected to the grid according to the dispatching instructions.

[0115] The centralized energy management method and device of the new energy power generation base according to the exemplary embodiment of the present disclosure can support the access of energy management systems of different manufacturers, perform unified modeling of active power control of each station, support the access of AGC master stations in each power grid area and power grid assessment requirements, provide system security protection, provide active power regulation evaluation algorithm, and provide a variety of allocation strategies to achieve the stable, safe and economical power generation goals of the new energy power generation base.

[0116] Fig.10 is a block diagram illustrating a computing system including at least one computing device and at least one storage device storing instructions according to an exemplary embodiment of the present disclosure.

[0117] like Fig.10 As shown, the computing system 1000 provided according to the exemplary embodiment of the present invention includes a computing device 1001 and a storage device 1002, wherein the storage device 1002 stores computer executable instructions. When the computer executable instructions are executed by the computing device 1001, the centralized energy management method described in any of the above embodiments is executed. Figures 1 to 9 The specific operations shown can be respectively Fig.10 The above steps are executed by corresponding devices in the computing system shown in the figure, and the specific operation details will not be repeated here.

[0118] The computing device 1001 can be deployed in a server or client, or on a node device in a distributed network environment. In addition, the computing device 1001 can be a PC computer, a tablet device, a personal digital assistant, a smart phone, a web application or other device capable of executing the above-mentioned instruction set. Here, the computing device is not necessarily a single computing device, but can also be any device or circuit capable of executing the above-mentioned instructions (or instruction sets) individually or jointly. The computing device can also be a part of an integrated control system or a system manager, or can be configured to be a portable electronic device interconnected with an interface locally or remotely (for example, via wireless transmission). In the computing device, 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. As an example and not limitation, the processor may also include an analog processor, a digital processor, a microprocessor, a multi-core processor, a processor array, a network processor, etc.

[0119] According to another aspect of the present disclosure, a computer-readable storage medium storing instructions is provided, which, when executed by at least one computing device, causes the at least one computing device to perform the centralized energy management method as described above. Computer-readable storage media include magnetic media such as floppy disks and tapes, optical media (including compact disk (CD) ROM and DVD ROM), magneto-optical media such as floppy disks, hardware devices such as ROM, RAM, and flash memory designed to store and execute program commands. The instructions may include language codes executable by a computer using an interpreter and machine language codes generated by a compiler.

[0120] By adopting the present disclosure, it is possible to support the access of energy management systems of different manufacturers, unify the active power control models of various sites, support the assessment requirements of different power grid areas, support multiple allocation strategies, and provide security protection for the power grid system, so as to achieve the stable, safe and economical power generation goals of new energy power generation bases.

[0121] Although the present disclosure includes specific examples, it will be apparent to those of ordinary skill in the art that various changes in form and detail may be made in these examples without departing from the spirit and scope of the claims and their equivalents. The examples described herein will be considered to be descriptive only and not for limiting purposes. The description of the features or aspects in each example will be considered to be applicable to similar features or aspects in other examples. Suitable results may be obtained if the described techniques are performed in a different order, and / or if the components in the described systems, architectures, devices, or circuits are combined in different ways and / or replaced or supplemented with other components or their equivalents in the described systems, architectures, devices, or circuits. Therefore, the scope of the present disclosure is not limited by specific embodiments, but by the claims and their equivalents, and all variations within the scope of the claims and their equivalents will be interpreted as included in the present disclosure.

Claims

1. A centralized energy management method for a new energy power generation base, wherein the new energy power generation base includes a plurality of stations, characterized in that: The centralized energy management method comprises: Acquire station model data of each station, wherein the station model data of each station includes operation data of the station, active power control configuration parameters, active power control adjustment instructions, and active power control performance indicators; Based on the station model data and the total target output of the new energy power generation base, determining the target output of each station according to a preset energy management strategy; Control the output of each power generation unit in each station according to the target output of each station. The step of determining the target output of each station includes: Determining a competition evaluation function based on the historical data of the active control performance indicator; Based on the predetermined basic weight, determining the basic weight power of each station; Based on the competition evaluation function, determining the competition weight power of each station; The target output of each station is determined based on the basic weighted power of each station and the competitive weighted power of each station.

2. The centralized energy management method for a new energy power generation base according to claim 1, characterized in that: The centralized energy management method further comprises: In response to determining that at least one of the plurality of stations has an abnormality, alarm information is generated and the load of the station having the abnormality is cut off.

3. The centralized energy management method for a new energy power generation base according to claim 1, characterized in that: The step of determining the target output of each station also includes: Based on the total target output of the new energy power generation base, the actual power, theoretical power and installed capacity of each station, a linear programming problem under linear model constraints is constructed, and the target output of each station is obtained by solving the problem.

4. The centralized energy management method for a new energy power generation base according to claim 3, characterized in that: The input weight index of the linear programming problem includes at least one of the on-grid electricity price per unit power generation, electric field loss, health level and electric field power generation.

5. The centralized energy management method for a new energy power generation base according to claim 1, characterized in that: The centralized energy management method further comprises: Determine the given planned output based on the grid command; The given planned output is determined as the total target output of the new energy power generation base, and the difference between the given planned output and the actual active output of the new energy power generation base is determined as the target regulated output of the new energy power generation base.

6. The centralized energy management method for a new energy power generation base according to claim 1, characterized in that: The centralized energy management method further comprises: Determine the given planned output based on the grid command; Determine a change rate margin within one or more durations, wherein the change rate margin is a difference between a maximum active power value and a minimum active power value of the new energy power generation base within the corresponding duration; Determine the minimum value of the difference between the given planned output and the actual active output of the new energy power generation base and the rate of change margin within the one or more durations as the target regulated output of the new energy power generation base; The sum of the target regulated output of the new energy power generation base and the actual active output of the new energy power generation base is determined as the total target output of the new energy power generation base.

7. The centralized energy management method for a new energy power generation base according to claim 1, characterized in that: The centralized energy management method further comprises: Based on the station model data of each station, the active power control performance index within a preset period of each station is determined.

8. The centralized energy management method for a new energy power generation base according to any one of claims 1 to 7, characterized in that: The operation data includes at least one of active power, reactive power, actual power, theoretical power, available power, installed capacity, startup capacity, active controllable upper limit, active controllable lower limit and active control state; The active power control configuration parameters include at least one of a station number, a rated capacity, an on-grid electricity price, an allocation ratio, an adjustment dead zone, a control priority, and an active power adjustment static deviation; The active power control adjustment instruction includes a planned output instruction and / or an emergency load cut-out instruction; the active power control performance index includes at least one of active power adjustment steady-state deviation, active power adjustment maximum deviation, active power adjustment minimum deviation, active power control response time, active power control adjustment time, active power adjustment times, active power adjustment qualified times, active power adjustment qualified rate and active power adjustment accuracy.

9. A centralized energy management device for a new energy power generation base, the new energy power generation base comprising a plurality of stations, characterized in that: The centralized energy management device comprises: A data communication unit, used to obtain station model data of each station, wherein the station model data of each station includes operation data of the station, active power control configuration parameters, active power control adjustment instructions and active power control performance indicators; an allocation strategy unit, configured to determine the target output of each station according to a preset energy management strategy based on the station model data and the total target output of the new energy power generation base; The station control unit is used to control the output of each power generation unit in each station according to the target output of each station. Among them, the allocation strategy unit is configured to: determine the competition evaluation function based on the historical data of the active control performance indicator; determine the basic weighted power of each station based on the predetermined basic weight; determine the competitive weighted power of each station based on the competition evaluation function; determine the target output of each station according to the basic weighted power of each station and the competitive weighted power of each station.

10. A computing system comprising at least one computing device and at least one storage device storing instructions, characterized in that: When the instructions are executed by the at least one computing device, the at least one computing device is prompted to execute the centralized energy management method for a new energy power generation base according to any one of claims 1 to 8.

11. A computer-readable storage medium storing instructions, characterized in that: When the instructions are executed by at least one computing device, the at least one computing device is prompted to execute the centralized energy management method for a new energy power generation base according to any one of claims 1 to 8.

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