A microgrid energy management control method and system

Abstract

The present invention discloses a microgrid energy management and control method, which belongs to the technical field of multi-microgrid energy management. The present invention obtains the load, output and energy storage power of each microgrid within a preset time in the future through data acquisition and calculation modules of multiple microgrid systems, and judges whether there is one or two supply microgrids whose supply power is greater than the demand power of the demand microgrid based on a blockchain cloud service platform. At the same time, according to transmission distance and electricity price factors, the demand microgrid is used as a benefit benchmark for sorting, thereby realizing the energy dispatching management and control problem of multiple supply microgrids. In terms of the intersection of the present invention with respect to the existing microgrid system, the present invention takes the electricity price difference of microgrids in different regions and the dispatching influence brought by the power transmission distance as considerations, and screens and sorts the supply microgrid or the combined supply microgrid according to the factors, thereby facilitating the low-cost and high-efficiency realization of energy management and control between multiple microgrids.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-microgrid energy management, and in particular to a microgrid energy management control method and system. Background Art

[0002] A microgrid (microgrid) is a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, related loads, and monitoring and protection devices. It can be connected to the large power grid to achieve mode conversion between grid-connected operation and isolated operation, thereby improving the power supply reliability of the loads in the microgrid. When necessary, the microgrid can also be used as a backup power source to transmit electricity to the large power grid to provide support for the large power grid. However, due to the limited ability of the microgrid to integrate various distributed power generation systems, if the large power grid fluctuates or fails, the microgrid cannot be connected, and the power generation and energy storage power of the microgrid cannot meet the load supply. , then the normal power supply for users will not be guaranteed. Therefore, a multi-microgrid (MMG) system has emerged based on a single microgrid. Compared with a single microgrid, MMG can increase the penetration rate of renewable energy, reduce power interaction with the upper power grid, and effectively reduce the start-stop and use times of energy storage units and traditional units in the microgrid, which helps to improve the service life of the energy storage system. In addition, MMG can also reduce the probability of system collapse and the removal of critical loads by sharing spare capacity in extreme cases. Therefore, how to achieve energy management control between multiple microgrids at low cost and high efficiency has become the current research focus;

[0003] At present, the existing microgrid energy management only manages the energy of its own microgrid system. Although some energy management between multiple microgrids has emerged, it is only considered from the perspective of electricity price. For example, Chinese patent number CN108493943B discloses a dispatching method, system, device and storage medium for electric energy of multiple microgrid systems. The invention realizes the energy dispatching management between multiple microgrids from the perspective of electricity price. Although it has certain feasibility, the electricity price considerations are relatively fixed. It does not take into account the dispatching influence caused by the price difference of microgrids in different regions and the power transmission distance, and it cannot realize the combined power dispatching of multiple supply microgrids into demand microgrids. In addition, it does not consider the transaction management problems caused by the energy dispatching between multiple microgrids, so it is difficult to realize the energy dispatching between multiple microgrids with low cost and high efficiency.

[0004] Therefore, a new microgrid energy management and control system is urgently needed to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to solve the defects in the prior art and to propose a microgrid energy management control method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A microgrid energy management control method is applied to energy management among multiple microgrids, and the method comprises the following steps:

[0008] Step 1: Calculate the load, output and energy storage power of each microgrid within a preset time in the future through the energy prediction model, energy storage load model and power load model of multiple microgrid renewable energy sources;

[0009] Step 2: Information is exchanged through the blockchain cloud service platform, and analysis and judgment based on energy management conditions are performed based on the load, output and energy storage power of each microgrid within a preset time in the future to obtain analysis and judgment results, which include a demand microgrid and one or more supply microgrids;

[0010] Step 3: Obtain the demand power of the demand microgrid and the supply power of the supply microgrid, and based on the demand power, determine whether there is a supply microgrid whose supply power is greater than the demand power of the demand microgrid. If not, jump to the next step; otherwise, jump to step 5.

[0011] Step 4: Determine whether the cumulative supply power of two supply microgrids under preset conditions is greater than the demand power of the demand microgrid. If so, combine them to form a combined supply microgrid and jump to the next step. Otherwise, return to step 2.

[0012] Step 5: Obtain the transmission distance between the demand microgrid and the supply microgrid or the combined supply microgrid, and perform a distance sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the transmission distance;

[0013] Step 6: Obtain the price difference between the demand microgrid and the supply microgrid or the combined supply microgrid, and perform a secondary price difference sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the primary distance sorting to obtain multiple groups of supply and demand grid combinations, wherein the multiple groups of supply and demand grid combinations include a demand microgrid and a supply microgrid combination, or include a demand microgrid and a combined supply microgrid;

[0014] Step 7: Perform multi-microgrid energy management based on the combination of a demand microgrid and a supply microgrid or a demand microgrid and a combined supply microgrid, and record their energy output values. At the same time, upload the energy output values ​​to the blockchain cloud service platform based on the alliance chain, calculate the electricity cost, and perform supply settlement with the corresponding supply microgrid, and perform blockchain encryption to form a power dispatch bill block.

[0015] Furthermore, the future preset time is specifically within the next 24 hours.

[0016] Furthermore, the analysis and judgment based on the energy management conditions to obtain the analysis and judgment results includes:

[0017] Analyze and determine whether there is a microgrid whose load power is greater than the sum of the output and energy storage power within a preset time in the future. If so, obtain the corresponding demand microgrid and jump to the next step;

[0018] Analyze and determine whether there is one or more microgrids whose future load power is less than the sum of the output and energy storage power. If so, all corresponding supply microgrids are screened out, otherwise the supply microgrid is displayed as zero.

[0019] Furthermore, the preset condition includes a minimum combined distance between the supply microgrid and the supply microgrid.

[0020] Furthermore, the primary distance sorting sorts the transmission distances of all supply microgrids from near to far based on the demand microgrid; the primary distance sorting includes at least one of the sorting of supply microgrids whose supply power is greater than the demand power and the demand microgrid, or the sorting of combined supply microgrids whose cumulative supply power is greater than the demand power and the demand microgrid.

[0021] Furthermore, the secondary electricity price difference ranking is based on the interest of the demand microgrid, and the electricity price differences between all supply microgrids and demand microgrids are ranked from large to small.

[0022] A microgrid energy management and control system, applied to energy management among multiple microgrids, including multiple microgrid systems, a blockchain cloud service platform, and regional energy monitoring equipment:

[0023] Wherein, each of the microgrid systems includes a data acquisition and calculation module; the blockchain cloud service platform includes an analysis module, a first judgment module, a second judgment module, a first sorting module, a second sorting module, a scheduling management module and a transaction management module;

[0024] The data acquisition and calculation module is used to calculate the load, output and energy storage power of each microgrid within a preset time in the future, and upload it to the blockchain cloud service platform;

[0025] The analysis module performs analysis and judgment based on energy management conditions based on the load, output and energy storage power of each microgrid within a preset time in the future to obtain an analysis and judgment result, wherein the analysis and judgment result includes a demand microgrid and one or more supply microgrids;

[0026] The first judgment module is used to judge whether there is a supply microgrid whose supply power is greater than the demand power of the demand microgrid;

[0027] The second judgment module is used to determine whether the accumulated supply power of two supply microgrids is greater than the demand power of the demand microgrid, and if so, combine them;

[0028] The first sorting module is used to sort the demand microgrid and the supply microgrid or the combined supply microgrid by distance based on the transmission distance;

[0029] The second sorting module is used to perform a secondary electricity price difference sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the electricity price difference;

[0030] The dispatch management module is used to issue a dispatch instruction to the corresponding supply microgrid group or combined supply microgrid based on the secondary electricity price difference ranking, and the dispatch instruction at least includes the corresponding dispatch output power;

[0031] The regional energy monitoring device is used to record the dispatched output power to obtain the corresponding energy output value;

[0032] The transaction management module is used to upload the energy output value to the blockchain cloud service platform based on the alliance chain, calculate the electricity cost, and at the same time perform supply settlement to the corresponding supply microgrid and perform blockchain encryption to form a power dispatch bill block.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] The present application discloses a microgrid energy management and control method and system, which obtains the load, output and energy storage power of each microgrid within a preset time in the future through data acquisition and calculation modules of multiple microgrid systems, and judges whether there is one or two supply microgrids whose supply power is greater than the demand power of the demand microgrid based on the blockchain cloud service platform. At the same time, according to the transmission distance and electricity price factors, the demand microgrid is used as the interest benchmark for sorting, thereby realizing the energy scheduling management and control problem of multiple supply microgrids. As for the intersection of the present invention with respect to the existing microgrid system, the present invention takes the electricity price difference of microgrids in different regions and the scheduling influence brought by the power transmission distance as considerations, and screens and sorts the supply microgrid or the combined supply microgrid according to the considerations, thereby facilitating the low-cost and high-efficiency realization of energy management and control among multiple microgrids. In addition, the present invention provides a blockchain cloud service platform, which is used for interactive sharing of power data and power transaction management, thereby facilitating the promotion of efficient energy management among multiple microgrids, and has certain economic and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0036] Figure 1 This is an overall flow chart of a microgrid energy management control method proposed by the present invention;

[0037] Figure 2 This is a schematic diagram of the overall structure of a microgrid energy management and control system proposed by the present invention;

[0038] Figure 3 This is a structural schematic diagram of a blockchain cloud service platform in a microgrid energy management and control system proposed by the present invention. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0040] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0041] In one embodiment, referring to Figure 1 , provides a microgrid energy management control method, which is applied to energy management among multiple microgrids, and the method comprises the following steps:

[0042] Step 1: Calculate the load, output and energy storage power of each microgrid within a preset time in the future through the energy prediction model, energy storage load model and power load model of multiple microgrid renewable energy sources;

[0043] Specifically, the future preset time is within the next 24 hours;

[0044] It should be noted here that the energy prediction model, energy storage load model and power load model of each microgrid's renewable energy are trained and constructed according to the conditions of each microgrid itself, and the present invention does not impose any limitations on its model and construction process.

[0045] Step 2: Information is exchanged through the blockchain cloud service platform, and analysis and judgment based on energy management conditions are performed based on the load, output and energy storage power of each microgrid within a preset time in the future to obtain analysis and judgment results, which include a demand microgrid and one or more supply microgrids;

[0046] Specifically, the analysis and judgment based on the energy management conditions to obtain the analysis and judgment results include:

[0047] Analyze and determine whether there is a microgrid whose load power is greater than the sum of the output and energy storage power within a preset time in the future. If so, obtain the corresponding demand microgrid and jump to the next step;

[0048] Analyze and determine whether there is one or more microgrids whose future load power is less than the sum of the output and energy storage power. If so, all corresponding supply microgrids are screened out, otherwise the supply microgrid is displayed as zero.

[0049] Step 3: Obtain the demand power of the demand microgrid and the supply power of the supply microgrid, and based on the demand power, determine whether there is a supply microgrid whose supply power is greater than the demand power of the demand microgrid. If not, jump to the next step; otherwise, jump to step 5.

[0050] Step 4: Determine whether the cumulative supply power of two supply microgrids under preset conditions is greater than the demand power of the demand microgrid. If so, combine them to form a combined supply microgrid and jump to the next step. Otherwise, return to step 2.

[0051] Specifically, the preset condition includes a minimum combined distance between supply microgrids and supply microgrids.

[0052] Step 5: Obtain the transmission distance between the demand microgrid and the supply microgrid or the combined supply microgrid, and perform a distance sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the transmission distance;

[0053] Specifically, the primary distance sorting sorts the transmission distances of all supply microgrids from near to far based on the demand microgrid;

[0054] In one embodiment, the primary distance sorting is used to sort the supply microgrid whose supply power is greater than the demand power and the demand microgrid.

[0055] In another embodiment, the primary distance sorting is used to sort the combined supply microgrid whose cumulative supply power is greater than the demand power and the demand microgrid.

[0056] Step 6: Obtain the price difference between the demand microgrid and the supply microgrid or the combined supply microgrid, and perform a secondary price difference sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the primary distance sorting to obtain multiple groups of supply and demand grid combinations, wherein the multiple groups of supply and demand grid combinations include a demand microgrid and a supply microgrid combination, or include a demand microgrid and a combined supply microgrid;

[0057] Specifically, the secondary electricity price difference ranking is based on the interest benchmark of the demand microgrid, and the electricity price differences between all supply microgrids and demand microgrids are ranked from large to small;

[0058] One thing that needs to be explained here is that the electricity price differences between all supply microgrids and demand microgrids are sorted from large to small, including two situations. One is the positive electricity price difference sorting, which means taking the demand microgrid as the benchmark, the electricity price of the supply microgrid minus the electricity price of the demand microgrid is a positive electricity price, that is, the supply microgrid electricity price is greater than the demand microgrid in the ranking; the other is the negative electricity price difference sorting, which means taking the demand microgrid as the benchmark, the electricity price of the supply microgrid minus the electricity price of the demand microgrid is a negative electricity price, that is, the ranking under the supply microgrid electricity price is less than the demand microgrid electricity price. Since this case takes the demand microgrid as the interest benchmark, the secondary electricity price difference sorting referred to in this case refers to the sorting under the microgrid electricity price that is less than the demand microgrid electricity price.

[0059] In one embodiment, the secondary electricity price difference ranking is performed to rank the supply microgrid whose supply power is greater than the demand power and the demand microgrid;

[0060] In another embodiment, the secondary electricity price difference ranking is performed to rank the combined supply microgrid and the demand microgrid whose cumulative supply power is greater than the demand power.

[0061] Step 7: Perform multi-microgrid energy management based on the combination of a demand microgrid and a supply microgrid or a demand microgrid and a combined supply microgrid, and record the energy output value, upload the energy output value to the blockchain cloud service platform based on the alliance chain, calculate the electricity cost, and settle the supply with the corresponding supply microgrid, and encrypt the blockchain to form a power dispatch bill block;

[0062] In one embodiment, the energy dispatch management of the demand microgrid and the supply microgrid is performed according to the sorting of the secondary electricity price difference, that is, according to the most preferred demand microgrid and supply microgrid combination, and the dispatch output power of the most preferred supply microgrid is obtained through the regional energy monitoring equipment to obtain the corresponding energy output value, and it is transmitted to the blockchain cloud service platform, and the electricity cost is calculated, and the supply settlement is performed to the corresponding supply microgrid.

[0063] In another embodiment, energy dispatch management is performed on the demand microgrid and the supply microgrid according to the sorting of the secondary electricity price difference, that is, according to the most preferred demand microgrid and the combined supply microgrid, and at the same time, the dispatch output power of each supply microgrid in the most preferred combined supply microgrid is obtained through the regional energy monitoring equipment to obtain the corresponding energy output value, and transmit it to the blockchain cloud service platform, and calculate the electricity cost, and at the same time, perform supply settlement for each supply microgrid in the combined supply microgrid.

[0064] In one embodiment, referring to Figure 2-3 , provides a microgrid energy management and control system, which is applied to energy management among multiple microgrids, including multiple microgrid systems, blockchain cloud service platform and regional energy monitoring equipment:

[0065] Wherein, each of the microgrid systems includes a data acquisition and calculation module; the blockchain cloud service platform includes an analysis module, a first judgment module, a second judgment module, a first sorting module, a second sorting module, a scheduling management module and a transaction management module;

[0066] The data acquisition and calculation module is used to calculate the load, output and energy storage power of each microgrid within a preset time in the future, and upload it to the blockchain cloud service platform;

[0067] The analysis module performs analysis and judgment based on energy management conditions based on the load, output and energy storage power of each microgrid within a preset time in the future to obtain an analysis and judgment result, wherein the analysis and judgment result includes a demand microgrid and one or more supply microgrids;

[0068] The first judgment module is used to judge whether there is a supply microgrid whose supply power is greater than the demand power of the demand microgrid;

[0069] The second judgment module is used to determine whether the accumulated supply power of two supply microgrids is greater than the demand power of the demand microgrid, and if so, combine them;

[0070] The first sorting module is used to sort the demand microgrid and the supply microgrid or the combined supply microgrid by distance based on the transmission distance;

[0071] The second sorting module is used to perform a secondary electricity price difference sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the electricity price difference;

[0072] The dispatch management module is used to issue a dispatch instruction to the corresponding supply microgrid group or combined supply microgrid based on the secondary electricity price difference ranking, and the dispatch instruction at least includes the corresponding dispatch output power;

[0073] The regional energy monitoring device is used to record the dispatched output power to obtain the corresponding energy output value;

[0074] The transaction management module is used to upload the energy output value to the blockchain cloud service platform based on the alliance chain, calculate the electricity cost, and at the same time perform supply settlement to the corresponding supply microgrid and perform blockchain encryption to form a power dispatch bill block.

[0075] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A microgrid energy management control method, characterized in that: Applied to energy management among multiple microgrids, the method comprises the following steps: Step 1: Calculate the load, output and energy storage power of each microgrid within a preset time in the future through the energy prediction model, energy storage load model and power load model of multiple microgrid renewable energy sources; Step 2: Information is exchanged through the blockchain cloud service platform, and analysis and judgment based on energy management conditions are performed based on the load, output and energy storage power of each microgrid within a preset time in the future to obtain analysis and judgment results, which include a demand microgrid and one or more supply microgrids; Step 3: Obtain the demand power of the demand microgrid and the supply power of the supply microgrid, and based on the demand power, determine whether there is a supply microgrid whose supply power is greater than the demand power of the demand microgrid. If not, jump to the next step; otherwise, jump to step 5. Step 4: Determine whether the cumulative supply power of two supply microgrids under preset conditions is greater than the demand power of the demand microgrid. If so, combine them to form a combined supply microgrid and jump to the next step. Otherwise, return to step 2. Step 5: Obtain the transmission distance between the demand microgrid and the supply microgrid or the combined supply microgrid, and perform a distance sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the transmission distance; Step 6: Obtain the price difference between the demand microgrid and the supply microgrid or the combined supply microgrid, and perform a secondary price difference sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the primary distance sorting to obtain multiple groups of supply and demand grid combinations, wherein the multiple groups of supply and demand grid combinations include a demand microgrid and a supply microgrid combination, or include a demand microgrid and a combined supply microgrid; Step 7: Perform multi-microgrid energy management based on the combination of a demand microgrid and a supply microgrid or a demand microgrid and a combined supply microgrid, and record the energy output value, upload the energy output value to the blockchain cloud service platform based on the alliance chain, calculate the electricity cost, and settle the supply with the corresponding supply microgrid, and encrypt the blockchain to form a power dispatch bill block; The future preset time is specifically within the next 24 hours; The analysis and judgment based on the energy management conditions to obtain the analysis and judgment results includes: Analyze and determine whether there is a microgrid whose load power is greater than the sum of the output and energy storage power within a preset time in the future. If so, obtain the corresponding demand microgrid and jump to the next step; Analyze and determine whether there is one or more microgrids whose future load power is less than the sum of the output and energy storage power. If so, all corresponding supply microgrids are screened out, otherwise the supply microgrid is displayed as zero; The preset conditions include a minimum combined distance between the supply microgrid and the supply microgrid; The primary distance sorting sorts the transmission distances of all supply microgrids from near to far based on the demand microgrid; the primary distance sorting includes at least one of the sorting of the supply microgrid whose supply power is greater than the demand power and the demand microgrid, or the sorting of the combined supply microgrid whose cumulative supply power is greater than the demand power and the demand microgrid; The secondary electricity price difference ranking is based on the interest of the demand microgrid, and all electricity price differences between the supply microgrid and the demand microgrid are ranked from large to small.

2. A microgrid energy management and control system, characterized in that: Applied to energy management among multiple microgrids, including multiple microgrid systems, blockchain cloud service platform and regional energy monitoring equipment: Wherein, each of the microgrid systems includes a data acquisition and calculation module; the blockchain cloud service platform includes an analysis module, a first judgment module, a second judgment module, a first sorting module, a second sorting module, a scheduling management module and a transaction management module; The data acquisition and calculation module is used to calculate the load, output and energy storage power of each microgrid within a preset time in the future, and upload it to the blockchain cloud service platform; The analysis module performs analysis and judgment based on energy management conditions based on the load, output and energy storage power of each microgrid within a preset time in the future to obtain analysis and judgment results, wherein the analysis and judgment results include a demand microgrid and one or more supply microgrids; The first judgment module is used to judge whether there is a supply microgrid whose supply power is greater than the demand power of the demand microgrid; The second judgment module is used to determine whether the accumulated supply power of two supply microgrids is greater than the demand power of the demand microgrid, and if so, combine them; The first sorting module is used to sort the demand microgrid and the supply microgrid or the combined supply microgrid by distance based on the transmission distance; The second sorting module is used to perform a secondary electricity price difference sorting on the demand microgrid and the supply microgrid or the combined supply microgrid based on the electricity price difference; The dispatch management module is used to issue a dispatch instruction to the corresponding supply microgrid group or combined supply microgrid based on the secondary electricity price difference ranking, and the dispatch instruction at least includes the corresponding dispatch output power; The regional energy monitoring device is used to record the dispatched output power to obtain the corresponding energy output value; The transaction management module is used to upload the energy output value to the blockchain cloud service platform based on the alliance chain, calculate the electricity cost, and at the same time perform supply settlement to the corresponding supply microgrid and perform blockchain encryption to form a power dispatch bill block.

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