Multi-type distributed energy coordination control method and device and medium

Abstract

The invention relates to a multi-type distributed energy coordination control method and device and a medium. The multi-type distributed energy coordination control method comprises the steps of collecting real-time operation data of distributed resources; calculating the adjustable range of each device based on the online condition and the real-time operation data of the distributed resource device; decomposing a power grid frequency modulation instruction through a power grid frequency modulation instruction decomposition algorithm, preferentially allocating equipment with high priority, and for equipment with the same priority, performing weighted average allocation based on rated power on a difference value between a power grid dispatching instruction and actual total power to obtain instruction power of each station; and controlling each device in the station according to the instruction power of each station through a station control algorithm. Compared with the prior art, on-line, off-line and operation conditions of each device are considered, power redistribution among resources is carried out under the condition that the aggregator power meets the power grid frequency modulation instruction, it is guaranteed that each decomposition result is reasonable, the adjustment characteristics of various devices can be met, and the response precision is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of virtual power plant frequency regulation auxiliary services, and in particular to a method for a virtual power plant aggregator to participate in power grid frequency regulation auxiliary services and coordinate control of multiple types of distributed energy sources. Background Art

[0002] The virtual power plant frequency regulation auxiliary service refers to the real-time control of the aggregated resource equipment by the virtual power plant aggregator after receiving the grid dispatching frequency regulation instructions so that its total power reaches the grid frequency regulation instructions.

[0003] At present, the existing frequency regulation control strategies usually only focus on the same type of equipment and only perform frequency regulation control on the same type of equipment; for methods to control multiple types of equipment, they consider the overall economic efficiency more and do not fully tap the frequency regulation capabilities of equipment with fast regulation rates. Virtual power plant aggregators aggregate multiple types of resources, including photovoltaic inverters, energy storage, energy station generators, etc. The frequency regulation characteristics of various types of equipment are different. Therefore, the frequency regulation control strategy needs to be combined with the characteristics of various types of equipment for control, so as to improve the response speed. At the same time, the existing technology does not consider the constraints such as the regulation range, regulation dead zone, and regulation rate of various types of equipment. The command decomposition strategy only evenly distributes the frequency regulation command power, which will cause errors in the response accuracy of the frequency regulation.

[0004] The Chinese patent CN113904380B discloses a method for precise control of adjustable resources of virtual power plants taking into account demand response. Its frequency regulation instruction decomposition strategy is to perform weighted average distribution based on maximizing benefits under constraints such as regulation capacity and regulation rate. This method focuses on maximizing the benefits of virtual power plants participating in frequency regulation auxiliary services, but requires machine learning and has high computational costs. At the same time, this method does not take into account the deployment between various types of equipment and does not fully tap the frequency regulation capabilities of equipment with fast regulation rates.

[0005] Chinese patent CN116231769B discloses a method for rapid power control of an active support type photovoltaic power station. By obtaining the irradiance and temperature of the target environment, the additional power of the photovoltaic inverter in the limited power generation mode is calculated. However, for distributed resources, a large number of meteorological instruments need to be installed, which is costly. Secondly, the allocation strategy of this method does not take into account the normal fluctuations of the actual power of the equipment. Therefore, when the actual power of the inverter fluctuates normally, the equipment will also be frequently controlled. In addition, the allocation strategy of this method does not take into account the minimum regulation dead zone of the equipment. When the active support demand power is small, the allocated power of each inverter may be less than its regulation dead zone, resulting in a large error in the response accuracy. Summary of the invention

[0006] The purpose of the present invention is to overcome the defects of the above-mentioned prior art such as insufficient exploitation of the frequency regulation capability of equipment with fast regulation rate and large errors, and to provide a method, device and medium for coordinated control of multiple types of distributed energy.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] As a first aspect of the present invention, a method for coordinated control of multiple types of distributed energy sources comprises the following steps:

[0009] Collect real-time operation data of distributed resources;

[0010] Calculate the adjustable range of each device based on the online status, real-time operation data and rated power data of distributed resource devices;

[0011] Based on the adjustable range, real-time operation data, rated power and equipment control priority of each distributed resource device, the power grid frequency modulation instruction is decomposed by the power grid frequency modulation instruction decomposition algorithm. The power grid frequency modulation instruction decomposition algorithm gives priority to the equipment with high priority. For the equipment with the same priority, the difference between the power grid dispatch instruction and the actual total power is weighted averaged based on the rated power under the conditions related to the regulation performance of each equipment, and the command power of each station is obtained;

[0012] Through the station control algorithm, each device in the station is controlled according to the command power of each station.

[0013] As a preferred technical solution, the method calculates the power adjustable range of each device in real time through the real-time power, rated power and other data of various distributed resource devices; the distributed resource devices include energy storage, photovoltaic inverters and generators;

[0014] The adjustable ranges calculated by the distributed resource devices of the same site are accumulated to obtain the upward adjustable range and downward adjustable range of the site.

[0015] As a preferred technical solution, after receiving the power grid frequency modulation command, the command decomposition algorithm takes the adjustable range of each station, online resources and real-time operation data, and frequency modulation command power as algorithm input, performs real-time calculation to decompose the frequency modulation command power to each station, as follows:

[0016] Prioritize photovoltaic stations, energy storage stations, and energy stations according to the regulation rate of each type of equipment;

[0017] The real-time power data of each station is accumulated to obtain the total real-time power of the aggregator;

[0018] Calculate the difference ΔP between the total real-time power of the aggregator and the frequency regulation instruction of the power grid dispatch. If the difference is greater than or equal to the set allowable error value, execute the frequency regulation instruction allocation algorithm; if the difference is less than the set allowable error value, execute the inter-resource allocation algorithm.

[0019] As a preferred technical solution, the frequency modulation instruction allocation algorithm allocates the difference ΔP between the total real-time power of the aggregator and the frequency modulation instruction of the power grid to each device under the condition that the power allowed to be allocated to each device is met. The equipment types with high priority are allocated first, and the equipment with the same priority is allocated by weighted average according to the rated power of the equipment, as follows:

[0020]

[0021] Among them, for each device in each station, ΔP Adjust,i is the allocated power of the ith device, P DeadZone,i is the regulation dead zone of the device, P Upable,i For the adjustable power, P Downable,i is the lower limit that can be adjusted downward; Noninal,i is the nominal power of the equipment;

[0022] After obtaining the allocated power of each device, the allocated power of the devices in the same station is accumulated to obtain the allocated power of the station:

[0023]

[0024] Calculate the target power of the station under the frequency modulation instruction allocation algorithm:

[0025]

[0026] Among them, P i is the actual power of the ith device.

[0027] As a preferred technical solution, the resource allocation algorithm is as follows:

[0028] If the following conditions are met, the inter-resource allocation algorithm is executed, otherwise the inter-resource allocation algorithm is exited:

[0029]

[0030] or

[0031]

[0032] Among them, P Upable,i , P Downable,i ,i∈C ENG are the adjustable power and the adjustable power of the i-th generator in the equipment set; P DeadZone,iis the regulation dead zone of the i-th generator in the equipment set; P Noninal,i is the nominal power of the i-th generator in the equipment set;

[0033] The maximum control cycle of each device is used as the execution cycle T of the resource allocation algorithm. ZY ;

[0034] The single allocation value ΔP of the resource allocation algorithm Adjust,ZY for:

[0035]

[0036] Among them, K ENG,i is the upper limit of the regulation rate percentage of each generator, P Noninal,ENG,i is the rated power of each generator equipment;

[0037] Allocate the generators to obtain the single dispatch power ΔP of each generator Adjust,ZY,ENG,i ;

[0038] Allocate the power of other equipment except the generator to obtain the single dispatch power ΔP of each other equipment Adjust,ZY,Other,i ;

[0039] The allocated power of the equipment in the same station is accumulated to obtain the inter-resource allocation power of station M:

[0040]

[0041] Calculate the target power of the station under the resource allocation algorithm:

[0042]

[0043] Among them, P i is the actual power of the ith device.

[0044] As a preferred technical solution, the generator allocation is performed by setting the single allocation value ΔP of the resource allocation algorithm to the value of the power allowed to be allocated to each generator. Adjust,ZY Distributed to each generator by weighted average:

[0045]

[0046] As a preferred technical solution, for the allocation of other devices except the generator, under the condition that the power allowed to be allocated to each device is met, the single allocation value ΔP of the resource allocation algorithm is Adjust,ZY Assign to each device, the device with higher priority will be assigned first, and the devices with the same priority will be assigned by weighted average according to the rated power of the device, as follows:

[0047] When condition ① is met, the allocation is as follows:

[0048]

[0049] When condition ② is met, the allocation is as follows:

[0050]

[0051] As a preferred technical solution, the station control algorithm controls each device of the station through the allocated power of each station, so that the total power generation power of the equipment increases or decreases according to the allocation result, as follows:

[0052] The control cycle is set according to the equipment type of the station. For each control of a single station M, the adjustment power ΔP Control,M for:

[0053]

[0054] Where ΔP Goal,M is the target power of the station; P i is the actual power of the station equipment; T Control,M To set the control cycle of each station;

[0055] Under the condition that the power allowed to be allocated to each device is met, the adjustment power ΔP controlled by a single station each time is Control,M Assign to each device, the device with higher priority will be assigned first, and the devices with the same priority will be assigned by weighted average according to the rated power of the device, that is,

[0056]

[0057] Where, for each device in station M, ΔP Adjust,i is the allocated power of the ith device, P DeadZone,i is the dead zone of regulation obtained according to the type and operating characteristics of the equipment; P DeadZone,i The regulation dead zone of the ith device is, P Upable,i For the adjustable power, P Downable,i The lower limit power can be adjusted downward;

[0058] After obtaining the allocated power of each device, calculate the control power P of each device Control,i :

[0059]

[0060] Among them, P SP,i Set the power for the device, P i is the actual power of the equipment, ΔP AdjustMax,iis the maximum adjustment judgment value of the equipment, ΔP DeadZone,i is the device regulation dead zone, ΔP Limit,i The maximum adjustment rate of the device.

[0061] As a second aspect of the present invention, a device for coordinated control of multiple types of distributed energy sources includes a memory, a processor, and a program stored in the memory, and when the processor executes the program, the method for coordinated control of multiple types of distributed energy sources as described above is implemented.

[0062] As a third aspect of the present invention, a storage medium is provided, on which a program is stored, and when the program is executed, the coordinated control method of multiple types of distributed energy sources as described above is implemented.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1) The coordinated control scheme for multiple types of distributed energy proposed in the present invention collects real-time operating status, power and other data of distributed resources, calculates the adjustable range of each station equipment, decomposes the power grid frequency modulation instructions to each station through the instruction decomposition algorithm, and then controls each device based on the result of the instruction decomposition algorithm through the station control algorithm, so that the sum of the equipment power of each resource meets the power grid frequency modulation instructions, realizing the frequency modulation auxiliary service function, which is very important for maintaining the stability of the power grid.

[0065] 2) The instruction decomposition algorithm of the present invention decomposes the power grid frequency modulation instruction layer by layer, and considers the online and offline status of each device and the operation status of the device during decomposition to avoid the instruction being decomposed into uncontrollable devices. When decomposing instructions, devices with high priority are allocated first. For devices with the same priority, the difference between the power grid dispatch instruction and the actual total power is weighted averaged based on the rated power under the conditions of satisfying the adjustment range, adjustment dead zone, and adjustment rate of each device, and the instruction power of each station is obtained. When decomposing instructions, the adjustable range, adjustment rate, and adjustment dead zone of each type of equipment are considered to ensure that each decomposition result is reasonable, can meet the adjustment characteristics of various types of equipment, and improve response accuracy.

[0066] 3) After the actual power reaches the frequency modulation instruction, the solution of the present invention uses the resource allocation algorithm to redistribute the power of various types of equipment while maintaining the actual power to meet the grid frequency modulation instruction, so that the actual power of devices such as inverters and energy storage with fast regulation rates is half of the rated power, enabling them to respond to new grid frequency modulation instructions, thereby improving the overall response speed. This method can make the sum of the output power of all devices meet the grid frequency modulation instruction, with high response accuracy and fast response speed, thereby realizing the function of the virtual power plant aggregator's distributed resources participating in the grid frequency modulation auxiliary service. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a flow chart of a method for coordinated control of multiple types of distributed energy sources based on frequency regulation auxiliary services of a virtual power plant according to the present invention;

[0068] Figure 2 It is a schematic diagram of the flow chart of the power grid frequency modulation instruction decomposition algorithm in the present invention;

[0069] Figure 3 It is a flow chart of the frequency modulation instruction allocation algorithm in the present invention;

[0070] Figure 4 It is a schematic diagram of the flow of the resource allocation algorithm in the present invention;

[0071] Figure 5 It is a schematic diagram of the flow of the midfield station control algorithm of the present invention. DETAILED DESCRIPTION

[0072] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0073] Example 1

[0074] The present invention proposes a method for coordinated control of multiple types of distributed energy based on virtual power plant frequency regulation auxiliary service, which decomposes the power grid frequency regulation instruction layer by layer, and considers the online and offline conditions of each device and the operation conditions of the device during decomposition, so as to avoid the instruction being decomposed to uncontrollable devices. At the same time, when decomposing the instruction, the adjustable range, adjustment rate, and adjustment dead zone of each type of equipment are considered to ensure that each decomposition result is reasonable, can meet the adjustment characteristics of various types of equipment, and improve the response accuracy. At the same time, the instruction decomposition algorithm considers the speed of the adjustment rate of the device, and preferentially decomposes the frequency regulation instruction to the device with a fast adjustment rate, so that the response speed of the frequency regulation auxiliary service is improved. In addition, the resource allocation algorithm in the instruction decomposition algorithm can redistribute the power between resources under the condition that the aggregator power meets the power grid frequency regulation instruction, so that the power of the device with a fast adjustment rate is maintained at half of the rated power, so that after receiving the new power grid frequency regulation instruction, the device with a fast adjustment rate has an adjustment amount that can respond quickly, thereby improving the overall response speed. Through this method, the sum of the output power of all devices can meet the power grid frequency regulation instruction, with high response accuracy and fast response speed, thereby realizing the function of the distributed resources of the virtual power plant aggregator participating in the power grid frequency regulation auxiliary service.

[0075] like Figure 1 As shown, the specific implementation content of this method is as follows:

[0076] Step S1: Collect real-time operation data of distributed resource equipment.

[0077] The wireless communication gateway is configured with IP and port, and is configured with the IP and port of the target cloud server. The RS485 port or network port of the on-site photovoltaic inverter, energy storage device, and electric meter are connected to the RS485 port or network port of the wireless communication gateway through shielded twisted pair or network cable. The cloud platform deploys a real-time database, which is configured based on the communication protocol of the distributed resource equipment, including the port of the wireless communication gateway and the point table of the required parameters, for data collection. The real-time power data of the distributed resources is obtained through the real-time database.

[0078] Step S2: Calculate the adjustable range of each resource station in real time.

[0079] Through the real-time power, rated power and other data of various devices, the adjustable range of each device is calculated in real time. The calculation method of various devices is as follows:

[0080] 2.1 Energy storage:

[0081] The energy storage power can be adjusted upward in the range of [0,P Upable,PCS ],in

[0082]

[0083] The energy storage power can be adjusted down to [P Downable,PCS ,0], where

[0084]

[0085] Among them, P PCS is the real-time output power of energy storage, positive for discharge and negative for charge, P Noninal,PCS is the nominal power of energy storage, SOC PCS To store the remaining power.

[0086] 2.2 Photovoltaic inverter:

[0087] The photovoltaic inverter can be adjusted in the range of [0,P Upable,PV ],in

[0088]

[0089] Among them, P Pre It is the predicted maximum power generation of the PV inverter at the current moment. The value of this variable is obtained by fitting the historical power data of the inverter when it was not controlled in the previous 30 minutes.

[0090] The photovoltaic inverter can be adjusted down to [P Downable,PV ,0], where

[0091]

[0092] Among them, P PVReal-time output power for photovoltaic inverters,

[0093] 2.3 Generator:

[0094] The range of the generator that can be adjusted upward is [0,P Upable,ENG ],in

[0095]

[0096] The generator can be adjusted down to [P Downable,ENG ,0], where

[0097]

[0098] Among them, P ENG is the real-time output power of the generator, P Noninal,ENG is the generator nominal power, P Min,ENG is the minimum allowed power generation.

[0099] After calculating the adjustable upward range and adjustable downward range of each device, the adjustable ranges of the devices at the same site are accumulated to obtain the adjustable upward range and adjustable downward range of the site.

[0100] Step S3.3: Power grid frequency regulation instruction decomposition algorithm

[0101] The instruction decomposition algorithm decomposes the frequency regulation instruction after receiving it. The instruction decomposition algorithm takes the adjustable range of each station, online resources and real-time operation data, and frequency regulation instruction power as algorithm input, performs real-time calculations, and decomposes the frequency regulation instruction power to each station. Figure 2 As shown, the instruction decomposition algorithm has the following steps:

[0102] S3.3.1. Prioritize photovoltaic stations, energy storage stations, and energy stations according to the regulation rates of the various equipment types. In this embodiment, the priority order is that energy storage stations are higher than photovoltaic stations, and higher than energy stations.

[0103] S3.3.2. The real-time power data of each station is accumulated to obtain the total real-time power of the aggregator.

[0104] S3.3.3. Calculate the difference ΔP between the total real-time power of the aggregator and the frequency regulation instruction of the power grid dispatch. If the difference is greater than or equal to the set allowable error value, execute the frequency regulation instruction allocation algorithm; if the difference is less than the set allowable error value, execute the inter-resource allocation algorithm.

[0105] Step S3.4, instruction allocation algorithm, such as Figure 3 As shown:

[0106] For each device in each station, let the regulation dead zone of the i-th device be PDeadZone,i , the power range that can be adjusted is [0,P Upable,i ], the lower limit can be adjusted to [P Downable,i ,0]. Then the power range allowed to be allocated to the device is:

[0107] ΔP Adjust,i ∈[P Downable,i ,-P DeadZone,i ]∪{0}∪[P DeadZone,i ,P Upable,i ]

[0108] Where ΔP Adjust,i is the allocated power of the ith device, P DeadZone,i It is the regulation dead zone obtained according to the type and operating characteristics of the equipment.

[0109] Under the condition that the power allowed to be allocated to each device is met, the difference ΔP between the total real-time power of the aggregator and the frequency modulation instruction of the power grid dispatching is allocated to each device. The device types with higher priority are allocated first, and the devices with the same priority are allocated by weighted average according to the rated power of the device, that is:

[0110]

[0111] After obtaining the allocated power of each device, the allocated power of the devices in the same station is accumulated to obtain the allocated power of the station, that is, for station M, the allocated power of the station is

[0112]

[0113] The target power of the station is

[0114]

[0115] Step 3.5: Allocation algorithm between resources, such as Figure 4 As shown:

[0116] Let C be the set of devices whose device type is generator. ENG ,

[0117] If the following conditions are met:

[0118]

[0119] or

[0120]

[0121] Then execute the subsequent calculation of the resource allocation algorithm, otherwise exit the resource allocation algorithm.

[0122] Assume that the execution cycle of the resource allocation algorithm is T ZY, the control cycle of each device is T Control,i ,but

[0123] T ZY =max(T Control,i )

[0124] Assume that the single allocation value of the resource allocation algorithm is ΔP Adjust,ZY , assuming that the upper limit of the regulation rate percentage of each generator is K ENG,i , the rated power of each generator equipment is P Noninal,EnG,i ,but

[0125]

[0126] For generators to be assigned:

[0127] Assume that the regulation dead zone of each generator is P DeadZone,ENG,i , the power range that can be adjusted is [0,P Upable,ENG,i ], the lower limit can be adjusted to [P Downable,ENG,i ,0]. Then the power range of each generator allowed to be allocated between resources is:

[0128] ΔP Adjust,ZY,ENG,i

[0129] ∈[P Downable,ENG,i ,-P ieadZone,ENG,i ]∪{0}∪[P Upable,ENG,i ,P Upable,ENG,i ]

[0130] Under the condition that the power allowed to be allocated by each generator is met, the single allocation value ΔP of the resource allocation algorithm is Adjust,ZY The power is distributed to each generator by weighted average, that is,

[0131]

[0132] For equipment other than generators, allocation:

[0133] When condition ① is met, let the regulation dead zone of each device be P DeadZone,Other,i , the lower limit can be adjusted to [-P i +0.5×P Noninal,i ,0]. Then the power range of resource allocation allowed for each device is:

[0134] ΔP Adjust,ZY,Other,i ∈[-P i +0.5×P Noninal,i ,-P DeadZone,ENG,i ]∪{0}

[0135] Under the condition that the power allowed to be allocated to each device is met, the single allocation value ΔP of the resource allocation algorithm is Adjust,ZY Assign to each device, the device with higher priority will be assigned first, and the devices with the same priority will be assigned by weighted average according to the rated power of the device, that is,

[0136]

[0137] When condition ② is met, let the regulation dead zone of each device be P DeadZone,Othe,i , the upper limit can be adjusted to [0,-P i +0.5×P Noninal,i ]. Then the power allocation range allowed for resource allocation between each device is:

[0138] ΔP Adjust,ZY,Other,i ∈{0}∪[P DeadZone,ENG,i ,-P i +0.5×P Noninal,i ]

[0139] Under the condition that the power allowed to be allocated to each device is met, the single allocation value ΔP of the resource allocation algorithm is Adjust,ZY Assign to each device, the device with higher priority will be assigned first, and the devices with the same priority will be assigned by weighted average according to the rated power of the device, that is,

[0140]

[0141] The allocated power of the equipment in the same station is accumulated to obtain the inter-resource allocation power of the station, that is, for station M, the allocated power of the station is

[0142]

[0143] The target power of the station is

[0144]

[0145] Step S4: Station control algorithm, such as Figure 5 As shown:

[0146] After obtaining the allocated power of each station through step 3), each device of the station is controlled so that the total power generation power of the device increases or decreases according to the allocation result.

[0147] The control cycle is set according to the equipment type of the station. Suppose the control cycle of each station is T Control,M , then for each control of a single station, the adjustment power ΔP Control,M for

[0148]

[0149] For each device in the station M, let the regulation dead zone of the i-th device be P DeadZone,i , the power range that can be adjusted is [0,P Upaale,i ], the lower limit can be adjusted to [P Downable,i ,0]. Then the power range allowed to be allocated to the device is:

[0150] ΔP Adjust,i ∈[P Downable,i ,-P DeadZone,i ]∪{0}∪[P DeadZine,i ,P Upable,i ]

[0151] Where ΔP Adjust,i is the allocated power of the ith device, P DeadZone,i It is the regulation dead zone obtained according to the type and operating characteristics of the equipment.

[0152] Under the condition that the power allowed to be allocated to each device is met, the adjustment power ΔP controlled by a single station each time is Control,M Assign to each device, the device with higher priority will be assigned first, and the devices with the same priority will be assigned by weighted average according to the rated power of the device, that is,

[0153]

[0154] After obtaining the allocated power of each device, calculate the control power of each device. Suppose the control power of each device is P Control,i ,but

[0155]

[0156] Among them, P SP,i Set the power for the device, P i is the actual power of the equipment, ΔP AdjustMax,i is the maximum adjustment judgment value of the equipment, ΔP DeadZone,i is the device regulation dead zone, ΔP Limit,i The maximum adjustment rate of the device.

[0157] Step S5: according to the calculation result, the control power of each device is set to each device.

[0158] After the configuration platform calculates the results, it generates control command messages according to the communication protocols of each device, and then sends the control messages to each device through the wireless communication gateway.

[0159] Example 2

[0160] As a second aspect of the present invention, the present application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned method for coordinated control of multiple types of distributed energy sources based on virtual power plant frequency regulation auxiliary services. In addition to the above-mentioned processors, memories, and interfaces, any device with data processing capabilities in which the apparatus in the embodiment is located may also include other hardware, generally based on the actual functions of the device with data processing capabilities, which will not be described in detail.

[0161] Example 3

[0162] As a third aspect of the present invention, the present application also provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implements the above-mentioned method for coordinated control of multiple types of distributed energy sources based on frequency regulation auxiliary services of a virtual power plant. The computer-readable storage medium may be an internal storage unit of any device with data processing capabilities as described in any of the foregoing embodiments, such as a hard disk or a memory. The computer-readable storage medium may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), an SD card, a flash card (Flash Card), etc. equipped on the device. Furthermore, the computer-readable storage medium may also include both an internal storage unit and an external storage device of any device with data processing capabilities. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and may also be used to temporarily store data that has been output or is to be output.

[0163] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A method for coordinated control of multiple types of distributed energy, characterized in that: The method steps include: Collect real-time operation data of distributed resources; Calculate the adjustable range of each device based on the online status, real-time operation data and rated power data of distributed resource devices; Based on the adjustable range, real-time operation data, rated power and equipment control priority of each distributed resource device, the power grid frequency modulation instruction is decomposed by the power grid frequency modulation instruction decomposition algorithm. The power grid frequency modulation instruction decomposition algorithm gives priority to the equipment with high priority. For the equipment with the same priority, the difference between the power grid dispatch instruction and the actual total power is weighted averaged based on the rated power under the conditions related to the regulation performance of each equipment, and the command power of each station is obtained; Through the station control algorithm, each device in the station is controlled according to the command power of each station.

2. A method for coordinated control of multiple types of distributed energy sources according to claim 1, characterized in that: The method calculates the power adjustable range of each device in real time through the real-time power, rated power and other data of various distributed resource devices; the distributed resource devices include energy storage, photovoltaic inverters and generators; The adjustable ranges calculated by the distributed resource devices of the same site are accumulated to obtain the upward adjustable range and downward adjustable range of the site.

3. The method for coordinated control of multiple types of distributed energy sources according to claim 1, characterized in that: After receiving the power grid frequency modulation command, the command decomposition algorithm takes the adjustable range of each station, online resources and real-time operation data, and frequency modulation command power as algorithm inputs, performs real-time calculations to decompose the frequency modulation command power to each station, as follows: Prioritize photovoltaic stations, energy storage stations, and energy stations according to the regulation rate of each type of equipment; The real-time power data of each station is accumulated to obtain the total real-time power of the aggregator; Calculate the difference ΔP between the total real-time power of the aggregator and the frequency regulation instruction of the power grid dispatch. If the difference is greater than or equal to the set allowable error value, execute the frequency regulation instruction allocation algorithm; if the difference is less than the set allowable error value, execute the inter-resource allocation algorithm.

4. A method for coordinated control of multiple types of distributed energy resources according to claim 3, characterized in that: The frequency modulation instruction allocation algorithm allocates the difference ΔP between the total real-time power of the aggregator and the frequency modulation instruction of the power grid to each device under the condition that the power allowed to be allocated to each device is met. The device types with high priority are allocated first, and the devices with the same priority are allocated by weighted average according to the rated power of the device, as follows: Among them, for each device in each station, ΔP Adjust,i is the allocated power of the ith device, P DeadZone,i is the regulation dead zone of the device, P Upable,i For the adjustable power, P Downable,i The lower limit can be adjusted downward; Noninal,i is the nominal power of the equipment; After obtaining the allocated power of each device, the allocated power of the devices in the same station is accumulated to obtain the allocated power of the station: Calculate the target power of the station under the frequency modulation instruction allocation algorithm: Among them, P i is the actual power of the ith device.

5. The method for coordinated control of multiple types of distributed energy sources according to claim 3, characterized in that: The resource allocation algorithm is as follows: If the following conditions are met, the inter-resource allocation algorithm is executed, otherwise the inter-resource allocation algorithm is exited: or Among them, P Upable,i , P Downable,i ,i∈C ENG are the adjustable power and adjustable power of the i-th generator in the equipment set; P DeadZone,i is the regulation dead zone of the i-th generator in the equipment set; P Noninal,i is the nominal power of the i-th generator in the equipment set; The maximum control cycle of each device is used as the execution cycle T of the resource allocation algorithm. ZY ; The single allocation value ΔP of the resource allocation algorithm Adjust,ZY for: Among them, K ENG,i is the upper limit of the regulation rate percentage of each generator, P Noninal,ENG,i is the rated power of each generator equipment; Allocate the generators to obtain the single dispatch power ΔP of each generator Adjust,ZY,ENG,i ; Allocate the power of other equipment except the generator to obtain the single dispatch power ΔP of each other equipment Adjust,ZY,Othe,i ; The allocated power of the equipment in the same station is accumulated to obtain the inter-resource allocation power of station M: Calculate the target power of the station under the resource allocation algorithm: Among them, P i is the actual power of the ith device.

6. A method for coordinated control of multiple types of distributed energy sources according to claim 5, characterized in that: The generators are allocated by setting the single allocation value ΔP of the resource allocation algorithm to the value of ΔP under the condition that the power allowed to be allocated by each generator is satisfied. Adjust,ZY Distributed to each generator by weighted average:

7. A method for coordinated control of multiple types of distributed energy resources according to claim 5, characterized in that: For the allocation of other devices except the generator, under the condition that the power allowed to be allocated to each device is met, the single allocation value ΔP of the resource allocation algorithm is Adjust,ZY Assign to each device, the device with higher priority will be assigned first, and the devices with the same priority will be assigned by weighted average according to the rated power of the device, as follows: When condition ① is met, the allocation is as follows: When condition ② is met, the allocation is as follows:

8. The method for coordinated control of multiple types of distributed energy sources according to claim 1, characterized in that: The station control algorithm controls each device in the station through the allocated power of each station, so that the total power generation of the equipment increases or decreases according to the allocation result, as follows: The control cycle is set according to the equipment type of the station. For each control of a single station M, the adjustment power ΔP Control,M for: Among them, ΔP Goal,M is the target power of the station; P i is the actual power of the station equipment; T Control,M To set the control cycle of each station; Under the condition that the power allowed to be allocated to each device is met, the adjustment power ΔP controlled by a single station each time is Control,M Assign to each device, the device with higher priority will be assigned first, and the devices with the same priority will be assigned by weighted average according to the rated power of the device, that is, Where, for each device in station M, ΔP Adjust,i is the allocated power of the ith device, P DeadZone,i is the dead zone of regulation obtained according to the type and operating characteristics of the equipment; P DeadZone,i The regulation dead zone of the ith device is, P Upable,i For the adjustable power, P Downable,i The lower limit power can be adjusted downward; After obtaining the allocated power of each device, calculate the control power P of each device Control,i : Among them, P SP,i Set the power for the device, P i is the actual power of the equipment, ΔP AdjustMax,i is the maximum adjustment judgment value of the equipment, ΔP DeadZone,i is the device regulation dead zone, ΔP Limit,i The maximum adjustment rate of the device.

9. A coordinated control device for multiple types of distributed energy, comprising a memory, a processor, and a program stored in the memory, characterized in that: When the processor executes the program, the method for coordinated control of multiple types of distributed energy sources as described in any one of claims 1-8 is implemented.

10. A storage medium having a program stored thereon, characterized in that: When the program is executed, the coordinated control method of multiple types of distributed energy sources as described in any one of claims 1-8 is implemented.

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