Smart grid operating system for grid distributed energy management

Abstract

The invention discloses an intelligent power grid operation system for power grid distributed energy management, and relates to the technical field of distributed energy management, and the system comprises a user management module which obtains the parameters, position and affiliated information of a photovoltaic facility, creates a photovoltaic node, and obtains and records the working parameters of a household photovoltaic system of the photovoltaic node; the environment information monitoring module is used for acquiring the environment information of the position of the photovoltaic node; a settlement analysis module which calls the data of the user management module, calculates the distance of each photovoltaic node, generates a settlement distribution diagram according to the distance, and divides the settlement to which each photovoltaic node belongs; and the analysis module is used for calling data of the environment information monitoring module and the settlement analysis module, carrying out power generation consistency analysis on the settlement meeting the stable analysis environment condition, obtaining photovoltaic nodes with abnormal consistency and carrying out facility fault diagnosis on the photovoltaic nodes with abnormal consistency. The distributed photovoltaic power generation energy management system has the effect of better meeting the distributed photovoltaic power generation energy management requirement.

Description

Technical Field

[0001] The present application relates to the technical field of distributed energy management, and in particular to a smart grid operating system for distributed energy management of power grids. Background Art

[0002] Distributed energy is an important part of the new power system with new energy as the main body, which can help our country better achieve "carbon peak and carbon neutrality" in the energy system.

[0003] The current distributed energy sources mainly include: distributed photovoltaic, natural gas distributed and distributed wind power. Among them, distributed photovoltaic and distributed wind power are subject to the intermittent and random nature of wind and light, and the random volatility of power generation is strong, which is relatively easy to affect the quality of distribution network power, and will cause problems such as increased costs for the operation of power grid companies.

[0004] The patented distributed microgrid energy management system with publication number CN104065101A includes an energy input unit, an energy analysis and processing unit and an energy output management unit; the energy input unit is connected to the energy analysis and processing unit; the energy analysis and processing unit is connected to the energy output management unit, and is used to specify a distributed microgrid energy supply plan for different load conditions and energy supply conditions, and formulate a distributed microgrid energy supply plan based on input conditions such as the project's climatic conditions, building area, building load type, on-grid electricity price, natural gas price, etc.

[0005] Although the above content of distributed microgrid energy management is given, currently distributed photovoltaic power generation is mostly deployed in rural areas and other areas, using people's building facilities as the basis for equipment installation. In addition to the impact of climate on power generation stability in such areas, equipment failures cannot be discovered in time, equipment maintenance is difficult, and untimely maintenance will also lead to unstable power generation. This results in the above technology being unable to meet the existing distributed photovoltaic power generation needs. Therefore, this application proposes a new technical solution. Summary of the invention

[0006] In order to better meet the energy management needs of distributed photovoltaic power generation, the present application provides a smart grid operating system for distributed energy management of power grids.

[0007] This application provides a smart grid operating system for distributed energy management in a power grid, which adopts the following technical solutions: A smart grid operating system for distributed energy management in a power grid, comprising: A user management module is used to obtain the parameters, location and ownership information of photovoltaic facilities, create photovoltaic nodes, and obtain and record the working parameters of the household photovoltaic system of the photovoltaic nodes; An environmental information monitoring module, which is used to obtain environmental information of the location of the photovoltaic node; wherein the environmental information includes light properties or meteorological properties; The settlement analysis module is used to call the data of the user management module, calculate the distance of each photovoltaic node, generate a settlement distribution map based on the distance, and divide the settlement to which each photovoltaic node belongs; The analysis module is used to call the data of the environmental information monitoring module and the settlement analysis module, conduct power generation consistency analysis on the settlements that meet the stable analysis environment conditions, obtain the photovoltaic nodes with consistency abnormalities, and perform facility fault diagnosis on the photovoltaic nodes with consistency abnormalities, and generate maintenance orders, grid connection permits / termination instructions, and photovoltaic inverter operation adjustment plans based on the diagnosis results.

[0008] Optionally, the analysis module is further used for: Estimated initialization period based on the creation date of the PV node and feedback after the maintenance order is dispatched; Compare the operating parameters of the photovoltaic node during the initialization period and when it meets the stable analysis environment conditions with the preset standard parameters, obtain the error, and calculate the actual error ratio; During the power generation consistency analysis, the real-time operating parameters of the photovoltaic nodes are pre-corrected based on the actual error ratio.

[0009] Optionally, the analysis module is further used for: Based on the parameters of each photovoltaic facility, the consistency of equipment specifications in the same settlement is determined; If the specifications are consistent, compare the power generation per unit time of each node to complete the consistency analysis; If the specifications are inconsistent, the current effective power and output power of the photovoltaic equipment are compared with the design values ​​to obtain the ratio, and the corresponding ratios of each node are compared to complete the consistency analysis.

[0010] Optionally, a work order management module is also included, and the work order management module is used to: After the maintenance order is generated, the location of the photovoltaic facility corresponding to the maintenance order is identified; Distribute maintenance orders to pre-established maintenance sites based on preset order distribution rules; If the maintenance site decides to accept the order, it will assign the maintenance order to a certain person or a group of maintainers registered with the maintenance site, record the order acceptor's information and the time when the work order was generated, receive maintenance feedback on the work order and the user's maintenance evaluation of the work order, and generate a maintenance file.

[0011] Optionally, the work order management module is further used to: Obtain matching weather forecast data for the next N days according to the location of the photovoltaic facility corresponding to the maintenance order; where N is a preset number; If there are two or more maintenance orders, and the scheduled maintenance time of multiple maintenance orders is the same day, the dispatch priority of the maintenance order whose meteorological data on the maintenance day meets the preset low energy efficiency conditions will be lowered to the last place; If multiple maintenance orders have the same priority, the priority is determined based on the time when the maintenance order was generated and decreases along the timeline.

[0012] Optionally, the analysis module is further used for: If the power generation consistency of a settlement meets the standard, the difference between the power generation per unit time and the designed power generation is calculated; If the difference reaches the lower limit of the preset power generation attenuation range when the photovoltaic is covered with dust, a photovoltaic panel cleaning reminder is sent to the user matching the photovoltaic node.

[0013] Optionally, the analysis module is further used for: If a photovoltaic panel cleaning reminder is generated at a photovoltaic node, the corresponding location is obtained, and the matching meteorological data for the next N days is obtained according to the location; According to the meteorological data of the next N days, the preset meteorological conditions are searched for and the power generation data table is designed, and the estimated total power generation is obtained by statistics; Calculate the proportion of the difference in the designed power generation, and calculate the estimated power generation loss based on the estimated total power generation; Calculate revenue loss based on estimated power generation and current grid-connected unit revenue; The estimated power generation loss and revenue loss will be sent to users.

[0014] Optionally, it further includes a photovoltaic self-cleaning management module, and the photovoltaic self-cleaning management module is used to: If the photovoltaic node is judged to be dusty M days after the photovoltaic panel cleaning reminder is sent, and the photovoltaic node is recorded to have cleaning facilities installed, the designed cleaning energy consumption, water consumption and cleaning time are obtained, and the current water price is obtained to calculate the cleaning economic loss; where M is a preset value; If the economic loss of cleaning is less than the loss of revenue, an automatic cleaning instruction is sent to the pre-installed cleaning equipment.

[0015] To summarize, the present application includes the following beneficial technical effects: photovoltaic nodes can be created to monitor the photovoltaic facilities in each user's home, and the operating information of other photovoltaic nodes in the same settlement can be compared under appropriate environmental conditions, so as to discover abnormalities in photovoltaic facilities relatively promptly, and the operation of photovoltaic facilities can be further regulated after the abnormalities are discovered, and maintenance orders can be generated to guide staff to carry out maintenance work, so as to better meet the needs of distributed photovoltaic power generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural diagram of this system; Figure 2This is a schematic diagram of the settlement analysis effect of this system. DETAILED DESCRIPTION

[0017] The following is combined with Figure 1-2 This application is described in further detail.

[0018] The embodiment of the present application discloses a smart grid operating system for distributed energy management in a power grid.

[0019] Reference Figure 1 ,The smart grid operating system for distributed energy management in the power grid includes: a user management module, an environmental information monitoring module, a settlement analysis module and an analysis module. It can be understood that the above modules are all computer function modules.

[0020] Among them, the user management module is used to obtain the parameters, location and belonging information of the photovoltaic facilities, create photovoltaic nodes, obtain and record the working parameters of the household photovoltaic system of the photovoltaic nodes, specifically: After installing the photovoltaic facilities on the roofs of users' houses, yards and other places, the operators of the photovoltaic facilities upload the parameters, location and ownership information of the photovoltaic facilities to the designated platform via mobile phones and computers. The user management module obtains the information and creates nodes based on the location and ownership, such as creating the node Zhang XX at No. 16, Dashu Village, and recording the parameters of the photovoltaic facilities in the folder / library corresponding to the node. At the same time, a data connection is established between the photovoltaic system and the above-mentioned platform. The photovoltaic system uploads the working parameters (at least the power generation and power generation) periodically and in real time. The user management module identifies the ID to determine the ownership and stores it in the folder or library corresponding to the node, waiting to be called.

[0021] The environmental information monitoring module is used to obtain the environmental information of the location of the photovoltaic node; specifically: Environmental information includes light attributes or meteorological attributes. If it is light attributes, it is necessary to install a light intensity sensor at the location of the photovoltaic facility, and then the communication module, gateway, etc. will cooperate to upload the data to obtain it; if it is meteorological attributes, you can find the weather forecast according to the location of the facility. Relatively speaking, the meteorological attributes obtained from the weather forecast have a relatively low accuracy in estimating the photovoltaic power generation situation.

[0022] The settlement analysis module is used to call the data of the user management module, calculate the distance of each photovoltaic node, generate a settlement distribution map based on the distance, and divide the settlement to which each photovoltaic node belongs. Specifically: like Figure 2 As shown, it is an illustration of the effect of the settlement distribution map. The staff selects several nodes as central nodes and allocates and divides each node according to the distance of each node relative to the central node. The reason for clustering analysis in this application is out of consideration for meteorological consistency. After all, the effect of photovoltaic power generation is greatly affected by light factors.

[0023] The analysis module is used to call the data of the environmental information monitoring module and the settlement analysis module, perform power generation consistency analysis on the settlements that meet the stable analysis environment conditions, obtain the photovoltaic nodes with abnormal consistency, and perform facility fault diagnosis on the photovoltaic nodes with abnormal consistency. Based on the diagnosis results, a maintenance order, a grid-connected permission instruction, and a photovoltaic inverter operation adjustment plan are generated. Specifically: The staff predetermines environmental conditions suitable for analysis, such as a sunny day, to reduce excessive interference caused by environmental factors during the analysis process; the analysis module determines that it is a sunny day and meets the stable analysis environmental conditions, and then the power generation consistency analysis can be carried out.

[0024] Regarding power generation consistency analysis, for example: compare the daily average / hourly power generation of the photovoltaic systems of various photovoltaic nodes in the same settlement. If the difference is within the allowable fluctuation value, they are considered consistent; otherwise, the larger the difference, the worse the consistency; this type of analysis is applicable to situations where the operator has unified the installation specifications of photovoltaic equipment; if there are photovoltaic equipment of multiple specifications in the same settlement, the effective power and output power can be compared with the design value to obtain the ratio, and then the nodes can be compared with each other.

[0025] If the above determinations are inconsistent, they are recorded as consistency abnormal PV nodes. Facility fault diagnosis, example: calling system logs, looking up fault codes, looking up historical fault data, comparing operating parameters such as internal temperature with safety standard values, and obtaining diagnostic results based on the results.

[0026] Examples of generating maintenance orders, grid connection permission / termination instructions, and PV inverter operation adjustment plans based on diagnostic results: If the diagnosis result is that the power generation performance drops below 80%, and the temperature inside the machine is higher than the upper limit of the safe temperature and the duration is more than 20% of the daily average total power generation time, a maintenance order is generated, a grid-connected termination instruction is issued, and the photovoltaic inverter operation adjustment plan is: lower the expected value of the inverter's PI controller, and the reduction amount is preset. If the diagnosis result is that the power generation performance drops to between 80%-90%, a maintenance order is generated. The information in the above maintenance order should include the location, affiliation, diagnosis results, and diagnosis process data of the corresponding photovoltaic node, so as to provide it to the operator staff of the photovoltaic system to facilitate maintenance work.

[0027] According to the above content, this system can create photovoltaic nodes to monitor the photovoltaic facilities in each user's home, and compare the operating information of other photovoltaic nodes in the same settlement under appropriate environmental conditions, so as to discover abnormalities of photovoltaic facilities relatively promptly, and can further regulate the operation of photovoltaic facilities after discovering abnormalities, generate maintenance orders to guide staff to carry out maintenance work, so as to better meet the needs of distributed photovoltaic power generation.

[0028] In another embodiment of the system, the analysis module is further configured to: The initialization period is estimated based on the creation date of the photovoltaic node and the feedback after the maintenance order is dispatched. In this embodiment, the initialization period refers to the equipment status reset period. For example, the initialization period is considered to be within 15 days from the first use of the equipment or the return to the line after maintenance.

[0029] Compare the operating parameters of the PV node during the initialization period and when it meets the stable analysis environment conditions with the preset standard parameters (standard parameters given by the manufacturer), obtain the error, and calculate the actual error ratio; In the process of power generation consistency analysis, the real-time operating parameters of the photovoltaic node are pre-corrected according to the actual error ratio; correction example: assuming the actual error ratio is 3%, the current parameters are * (1-3%).

[0030] The above settings are based on: 1. The factory products and design specifications cannot be completely consistent; 2. When installing photovoltaic facilities in buildings provided by different people, the installation height, sunlight blocking, and illumination duration of photovoltaic facilities cannot be safely consistent. If the above two points are not eliminated as a priority, it will lead to large errors in the power generation consistency analysis, misjudgment, and affect the use effect.

[0031] In another embodiment of the system, the system further includes a work order management module, which is used to: After the maintenance order is generated, the location of the photovoltaic facility corresponding to the maintenance order is identified; Distribute maintenance orders to pre-established maintenance sites based on preset order distribution rules; If the maintenance site decides to accept the order, it will assign the maintenance order to a certain person or a group of maintainers registered with the maintenance site, record the order acceptor's information and the time when the work order was generated, receive maintenance feedback on the work order and the user's maintenance evaluation of the work order, and generate a maintenance file.

[0032] For example, the above-mentioned order distribution rule is as follows: when creating the account of the first maintenance site, a matching relationship between it and the designated settlement is established, and then the maintenance order corresponding to any photovoltaic node in the settlement is subsequently distributed to the maintenance site.

[0033] According to the above settings, this system can automatically generate a maintenance order when a photovoltaic node is abnormal. The maintenance order is automatically assigned to the site and promptly assigned to the specific maintainer to maintain the photovoltaic facilities in time. At the same time, the maintenance status can also be tracked, the photovoltaic maintenance process can be standardized, and the smooth implementation of maintenance work can be guaranteed in a transparent and supervised manner.

[0034] Furthermore, since photovoltaic facilities are mainly used for power generation, the following mechanisms should be established when placing orders and carrying out photovoltaic maintenance work, specifically: Obtain matching weather forecast data for the next N days according to the location of the photovoltaic facility corresponding to the maintenance order; wherein N is a preset value, which may be 3-10; If there are two or more maintenance orders, and the scheduled maintenance time of multiple maintenance orders is the same day, the dispatch priority of the maintenance order whose weather data on the maintenance day meets the preset low energy efficiency conditions (such as cloudy and rainy days) will be lowered to the last place; If multiple maintenance orders have the same priority, the priority is determined based on the time when the maintenance order was generated and decreases along the timeline.

[0035] Example: On a certain day, there are 5 maintenance orders, 3 in the first settlement, 1 in the second settlement, and 1 in the third settlement; if it is rainy in the second settlement, the maintenance orders of the first and third settlements will be dispatched first; at the same time, the 4 maintenance orders will be dispatched based on the time of generation, with the earlier the order, the higher the priority.

[0036] According to the above settings, this system can not only ensure the user experience, but also reduce the impact of time-consuming photovoltaic fault maintenance on photovoltaic power generation, because photovoltaic facilities on rainy days will be maintained a little later in the future, and photovoltaic power generation is small on rainy days.

[0037] In another embodiment of the system, the analysis module is further configured to: If the power generation consistency of a settlement meets the standard, the difference between the power generation per unit time and the designed power generation is calculated; If the difference reaches the lower limit of the preset power generation attenuation range when the photovoltaic is covered with dust (such as: 5%), a photovoltaic panel cleaning reminder will be sent to the user matching the photovoltaic node.

[0038] It is understandable that for northern cities, especially areas that require heating in winter or areas with strong winds and sand in the northwest, there is less rain and a higher dust content in the air, and photovoltaic panels are relatively easy to accumulate dust, which affects the performance of photovoltaic power generation. Therefore, this system is also designed with a photovoltaic dust identification mechanism to reduce false faults and can also be used to remind users to clean the photovoltaic panels; the reminder can be in the form of: mobile phone text messages, mobile phone numbers pre-uploaded and bound to user names.

[0039] Furthermore, the analysis module is also used to: If a photovoltaic panel cleaning reminder is generated at a photovoltaic node, the corresponding location is obtained, and the matching meteorological data for the next N days is obtained according to the location; According to the meteorological data of the next N days, the preset design power generation data table for each meteorological condition is searched, and the estimated total power generation is obtained by statistics; for example: N=10, 9 are sunny days, and the design power generation is 5 degrees / hour; one day is cloudy, and the design power generation is 0.5 degrees / hour, then the estimated total power generation = 9*8 (sunshine duration)*5+1*8*0.5.

[0040] Calculate the proportion of the difference (above) in the designed power generation, and calculate the estimated power generation loss in combination with the estimated total power generation; Calculate revenue loss based on estimated power generation and current grid-connected unit revenue; The estimated power generation loss and revenue loss will be sent to users.

[0041] According to the above settings, the system can also estimate the future loss of power generation and the possible economic loss of users based on the future weather of the photovoltaic nodes, the design parameters of the photovoltaic facilities, and the actual dust conditions, so as to better prompt users to clean the photovoltaic panels.

[0042] In one embodiment of the present system, if the photovoltaic facilities corresponding to the photovoltaic nodes are also planned with cleaning facilities during installation, such as: installing a water pipe at the upper end of the panel tilted upward, and providing a water pump or connecting the water pipe with a pipe and a valve on the pipe, and the water pump and valve are connected to the system via a gateway, then the present system also includes a photovoltaic self-cleaning management module, and the photovoltaic self-cleaning module is used to: If the PV node is judged to be dusty M days (e.g. 30 days) after the PV panel cleaning reminder is sent, and the PV node is recorded as having cleaning facilities installed, then the designed cleaning energy consumption, water consumption and cleaning time are obtained, and the current water price is obtained (from the water information disclosure website) to calculate the cleaning economic loss; If the economic loss of cleaning is less than the loss of revenue, an automatic cleaning instruction is sent to the pre-installed cleaning equipment, such as: water pump start / stop, valve opening and closing instructions.

[0043] According to the above settings, under the condition that the hardware allows, if the user does not handle the cleaning prompt for a long time, the system can automatically let the cleaning facilities perform the cleaning action, and will calculate the economic losses caused by the cleaning before implementing the cleaning. When the loss is greater than the estimated profit, the cleaning will be suspended to avoid giving the user a bad user experience.

[0044] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A smart grid operating system for distributed energy management in a power grid, characterized in that: include: A user management module is used to obtain the parameters, location and ownership information of photovoltaic facilities, create photovoltaic nodes, and obtain and record the working parameters of the household photovoltaic system of the photovoltaic nodes; An environmental information monitoring module, which is used to obtain environmental information of the location of the photovoltaic node; wherein the environmental information includes light properties or meteorological properties; The settlement analysis module is used to call the data of the user management module, calculate the distance of each photovoltaic node, generate a settlement distribution map based on the distance, and divide the settlement to which each photovoltaic node belongs; The analysis module is used to call the data of the environmental information monitoring module and the settlement analysis module, conduct power generation consistency analysis on the settlements that meet the stable analysis environment conditions, obtain the photovoltaic nodes with consistency abnormalities, and perform facility fault diagnosis on the photovoltaic nodes with consistency abnormalities, and generate maintenance orders, grid connection permits / termination instructions, and photovoltaic inverter operation adjustment plans based on the diagnosis results.

2. The smart grid operating system for distributed energy management in a power grid according to claim 1, characterized in that: The analysis module is also used for: Estimated initialization period based on the creation date of the PV node and feedback after the maintenance order is dispatched; Compare the operating parameters of the photovoltaic node during the initialization period and when it meets the stable analysis environment conditions with the preset standard parameters, obtain the error, and calculate the actual error ratio; During the power generation consistency analysis, the real-time operating parameters of the photovoltaic nodes are pre-corrected based on the actual error ratio.

3. The smart grid operating system for distributed energy management in a power grid according to claim 1, characterized in that: The analysis module is also used for: Based on the parameters of each photovoltaic facility, the consistency of equipment specifications in the same settlement is determined; If the specifications are consistent, compare the power generation per unit time of each node to complete the consistency analysis; If the specifications are inconsistent, the current effective power and output power of the photovoltaic equipment are compared with the design values ​​to obtain the ratio, and the corresponding ratios of each node are compared to complete the consistency analysis.

4. The smart grid operating system for distributed energy management in a power grid according to claim 1, characterized in that: It also includes a work order management module, which is used to: After the maintenance order is generated, the location of the photovoltaic facility corresponding to the maintenance order is identified; Distribute maintenance orders to pre-established maintenance sites based on preset order distribution rules; If the maintenance site decides to accept the order, it will assign the maintenance order to a certain person or a group of maintainers registered with the maintenance site, record the order acceptor's information and the time when the work order was generated, receive maintenance feedback on the work order and the user's maintenance evaluation of the work order, and generate a maintenance file.

5. The smart grid operating system for distributed energy management in a power grid according to claim 4, characterized in that: The work order management module is also used for: Obtain matching weather forecast data for the next N days according to the location of the photovoltaic facility corresponding to the maintenance order; where N is a preset number; If there are two or more maintenance orders, and the scheduled maintenance time of multiple maintenance orders is the same day, the dispatch priority of the maintenance order whose meteorological data on the maintenance day meets the preset low energy efficiency conditions will be lowered to the last place; If multiple maintenance orders have the same priority, the priority is determined based on the time when the maintenance order was generated and decreases along the timeline.

6. The smart grid operating system for distributed energy management in a power grid according to claim 1, characterized in that: The analysis module is also used for: If the power generation consistency of a settlement meets the standard, the difference between the power generation per unit time and the designed power generation is calculated; If the difference reaches the lower limit of the preset power generation attenuation range when the photovoltaic is covered with dust, a photovoltaic panel cleaning reminder is sent to the user matching the photovoltaic node.

7. The smart grid operating system for distributed energy management in a power grid according to claim 6, characterized in that: The analysis module is also used for: If a photovoltaic panel cleaning reminder is generated at a photovoltaic node, the corresponding location is obtained, and the matching meteorological data for the next N days is obtained according to the location; According to the meteorological data of the next N days, the preset meteorological conditions are searched for and the power generation data table is designed, and the estimated total power generation is obtained by statistics; Calculate the proportion of the difference in the designed power generation, and calculate the estimated power generation loss based on the estimated total power generation; Calculate revenue loss based on estimated power generation and current grid-connected unit revenue; The estimated power generation loss and revenue loss will be sent to users.

8. The smart grid operating system for distributed energy management in a power grid according to claim 7, characterized in that: It also includes a photovoltaic self-cleaning management module, which is used to: If the photovoltaic node is judged to be dusty M days after the photovoltaic panel cleaning reminder is sent, and the photovoltaic node is recorded to have cleaning facilities installed, the designed cleaning energy consumption, water consumption and cleaning time are obtained, and the current water price is obtained to calculate the cleaning economic loss; where M is a preset value; If the economic loss of cleaning is less than the loss of revenue, an automatic cleaning instruction is sent to the pre-installed cleaning equipment.

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