CN117728395A - Micro-grid networking interconnection and flexible switching strategy system and method - Google Patents
Micro-grid networking interconnection and flexible switching strategy system and method Download PDFInfo
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Abstract
The invention discloses a micro-grid networking interconnection and flexible switching strategy system and a method. The micro-grid networking interconnection and flexible switching strategy system comprises: and the operation monitoring data acquisition module, the micro-grid comprehensive monitoring index calculation module and the optimization scheduling module. According to the invention, the comprehensive monitoring index data of the micro-grid is calculated based on the operation monitoring parameter data of the operation state of the micro-grid, wherein the comprehensive monitoring index data comprises the whole-grid electric quantity balance index, the distributed energy response speed index, the electric quantity balance index of the energy storage device, the charging and discharging efficiency stability index of the energy storage device, the operation state monitoring index of key equipment and the network communication reliability index of the micro-grid, and the micro-grid is intelligently scheduled and managed according to the comprehensive monitoring index data of the micro-grid, so that the reliability of the operation control of the micro-grid is improved, and the problem of insufficient reliability of the operation control of the micro-grid in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of power transmission and distribution, in particular to a micro-grid networking interconnection and flexible switching strategy system and method.
Background
A microgrid is a small-scale, independently operated power system that typically includes a distributed source of energy, storage devices, and a variety of loads. The operational control of the micro-grid must have the ability to switch smoothly in grid-connected and island modes of operation. The micro-grid networking refers to connecting a plurality of distributed energy resources (such as solar energy, wind energy and the like), energy storage equipment and loads in a certain mode to form a power system in a small range. The distributed energy resources and the energy storage devices can exchange energy with each other and can be connected or disconnected with a main power grid to form a relatively independent power supply system.
Currently, energy storage devices (e.g., batteries, supercapacitors, etc.) play an important role in micro-grids, storing excess energy and releasing energy when needed. The time shift scheduling and the smooth adjustment of the load of the energy source are realized through an energy storage technology, and the power supply reliability of the micro-grid is improved.
For example, bulletin numbers: the invention patent publication of CN103401241B discloses a microgrid power supply recovery method based on a distributed power supply ad hoc network strategy, which comprises the following steps: when the micro-grid is connected to the grid to the island, according to whether the distributed power supply DG can operate in the island or not, splitting into a plurality of DG local ad hoc networks which can operate independently, and ensuring continuous power supply of important loads or local loads through the DG local ad hoc networks; after each DG local ad hoc network is stable, searching outwards and expanding the power supply range, namely forming a DG dynamic ad hoc network; after each DG dynamic ad hoc network is stable, the DG dynamic ad hoc network with the interconnection condition is sequentially networked to operate by taking the DG dynamic ad hoc network with the micro-grid main power supply as a center; and after the public power distribution network recovers power supply, each DG dynamic ad hoc network is operated in a grid-connected mode with the public power distribution network. The invention ensures the continuous power supply of important loads in the micro-network through the DG local ad hoc network; and the power supply is continuously recovered to the power failure area through the DG dynamic ad hoc network, and favorable conditions are provided for the island-to-grid conversion of the micro-grid, so that the smooth switching of the operation modes of the micro-grid is ensured.
For example, bulletin numbers: the micro-grid multi-operation mode control and switching method disclosed in the patent publication of CN105429297B comprises the following steps: dividing the operation mode of the micro-grid into a normal grid-connected operation mode of the micro-grid, a risk operation mode of the micro-grid, a weak connection operation mode of the micro-grid, a isolated grid operation mode of the micro-grid and a recovery operation mode of the micro-grid; determining a control strategy under each micro-grid operation mode; determining a strategy for switching between operation modes of each micro-grid: and controlling the micro-grid operation mode to switch when the corresponding triggering condition is determined to be met. The micro-grid operation mode is subdivided for the first time, and conversion among modes is considered. The method aims at the regional micro-grid containing the small hydroelectric group, can be also applied to micro-grids containing various renewable distributed power sources, can effectively ensure that important loads are not lost, and achieves the purposes of reasonably utilizing renewable energy sources and effectively utilizing clean energy sources.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the application finds that the above technology has at least the following technical problems:
in the prior art, the comprehensive utilization of various monitoring factors by the operation control technology is insufficient, so that stable switching is difficult to realize under different operation modes of the micro-grid, and the key performances of distributed power sources, energy storage equipment and the like are lack of comprehensive monitoring, so that the problem of insufficient reliability of operation control of the micro-grid exists.
Disclosure of Invention
According to the micro-grid networking interconnection and flexible switching strategy system and method, the problem that the reliability of micro-grid operation control is insufficient in the prior art is solved, and the reliability of the micro-grid operation control is improved.
The embodiment of the application provides a micro-grid networking interconnection and flexible switching strategy system, which comprises the following steps: the micro-grid comprehensive monitoring system comprises an operation monitoring data acquisition module, a micro-grid comprehensive monitoring index calculation module and an optimization scheduling module; the operation monitoring data acquisition module is used for: operation monitoring parameter data for monitoring the operation state of the micro-grid in real time; the micro-grid comprehensive monitoring index calculation module is used for: the method comprises the steps of calculating micro-grid comprehensive monitoring index data according to operation monitoring parameter data acquired in real time, wherein the micro-grid comprehensive monitoring index data comprises a micro-grid whole-grid electric quantity balance index, a distributed energy response speed index, an energy storage device electric quantity balance index, an energy storage device charge and discharge efficiency stability index, a key device working state monitoring index and a network communication reliability index; the optimal scheduling module is used for: and the constraint condition is used for acquiring the comprehensive monitoring index data of the micro-grid, and the micro-grid is scheduled according to the comprehensive monitoring index data of the micro-grid.
The micro-grid networking interconnection and flexible switching strategy method for the micro-grid networking interconnection and flexible switching strategy system provided by the embodiment of the application comprises the following steps: operation monitoring parameter data for monitoring the operation state of the micro-grid in real time; calculating micro-grid comprehensive monitoring index data according to operation monitoring parameter data acquired in real time, wherein the micro-grid comprehensive monitoring index data comprises a micro-grid whole-grid electric quantity balance index, a distributed energy response speed index, an energy storage device electric quantity balance index, an energy storage device charge and discharge efficiency stability index, a key device working state monitoring index and a network communication reliability index; and obtaining constraint conditions of the comprehensive monitoring index data of the micro-grid, and scheduling the micro-grid according to the comprehensive monitoring index data of the micro-grid.
Further, the operation monitoring parameter data includes: total electric quantity required value, total electric quantity supply value, distributed power generation comprehensive energy efficiency, energy storage device efficiency, micro-grid energy storage device data, micro-grid key equipment data and micro-grid communication equipment data.
Further, the specific calculation method of the micro-grid whole-grid electric quantity balance index comprises the following steps: reading a total electric quantity required value and a total electric quantity supply value of the micro-grid at intervals of a certain time interval, and numbering the reading times; constructing a micro-grid whole-grid electric quantity balance index model formula according to the formula; the specific micro-grid whole-grid electric quantity balance index formula is as follows:in (1) the->Is at the mth 0 Micro-grid full-grid electric quantity balance index in secondary reading, e is a natural constant, m 0 For the number of reading times, m 0 =1, 2,..m, m is the total number of reads, +.>Is the mth 0 Total power supply value of secondary reading, +.>Is the mth 0 And the total electric quantity required value read for the time, and tau is a correction factor of the electric quantity balance index of the whole micro-grid.
Further, the specific calculation method of the distributed energy response speed index comprises the following steps: extracting comprehensive power generation energy of micro-grid from operation monitoring parameter dataSource efficiency, energy storage device efficiency; monitoring the solar illumination intensity and the wind speed of the place where the micro-grid power station is located at regular intervals, and numbering monitoring time points; constructing a distributed energy response speed index model formula; the specific formula of the distributed energy response speed index model is as follows:in the formula, DERSI k For the distributed energy response speed index at the kth monitoring time point, k is the number of the monitoring time point, k=1, 2 0 ，k 0 To monitor the total number of time points, DEGE k IL (IL) for distributed power generation integrated energy efficiency k For the kth monitoring time point of solar illumination intensity, IL 0 Is the unit value of the sun illumination intensity sigma 1 WS, a weight coefficient of solar illumination intensity for comprehensive energy efficiency of distributed power generation k Wind speed, WS, for the kth monitoring time point 0 Is the wind speed unit value sigma 2 Weighting coefficient lambda of wind speed to comprehensive energy efficiency of distributed power generation 1 The ESR is the efficiency of the energy storage device and lambda is the weight coefficient of the integrated energy efficiency of the distributed power generation in the index of the response speed of the distributed energy 2 And the weight coefficient of the energy storage device efficiency in the distributed energy response speed index.
Further, the specific calculation method of the electric quantity balance index of the energy storage device comprises the following steps: extracting data of the micro-grid energy storage device from the operation monitoring parameter data, and numbering the micro-grid energy storage device; monitoring the charging efficiency, discharging efficiency, available electric quantity and battery capacity of the micro-grid energy storage device at regular intervals; constructing an energy storage device electric quantity balance index model formula; the specific energy storage device electric quantity balance index model formula is as follows:in ESSEI k For the energy storage device charge balance index at the kth monitoring time point, i is the number of the microgrid energy storage device, i=1, 2 0 ，i 0 For the total number of micro-grid energy storage devices,/> charging efficiency, discharging efficiency, available electric quantity and battery capacity of the ith micro-grid energy storage device at the kth monitoring time point, phi 1 、φ 2 、φ 3 、φ 4 The weight ratio of the charging efficiency, the discharging efficiency, the available electric quantity and the battery capacity in the electric quantity balance index of the energy storage device are respectively +.>Is a correction coefficient of the energy storage device electric quantity balance index.
Further, the specific calculation method of the stability index of the charge and discharge efficiency of the energy storage device comprises the following steps: monitoring charging and discharging efficiency of the micro-grid energy storage device, temperature of the energy storage device and environmental temperature of the energy storage device at regular intervals; constructing an energy storage device charge and discharge efficiency stability index model formula; the specific energy storage device charge and discharge efficiency stability index model formula is:in the formula, ESESESI k CDE to stabilize the index of energy storage device charge-discharge efficiency at the kth monitoring time point k Charge-discharge efficiency for kth monitoring time point, +.>For the energy storage device temperature of the ith micro-grid energy storage device at the kth monitoring time point, mu 1 Weight ratio value of energy storage device temperature in energy storage device charge-discharge efficiency stability index, +.>For the energy storage device ambient temperature, μ of the ith microgrid energy storage device at the kth monitoring time point 2 Energy storage equipment for energy storage device at ambient temperatureWeight ratio value in charge-discharge efficiency stability index, +.>And the correction coefficient of the stability index of the charge and discharge efficiency of the energy storage device.
Further, the specific calculation method of the key equipment working state monitoring index comprises the following steps: extracting micro-grid key equipment data from the operation monitoring parameter data, and numbering the micro-grid key equipment; monitoring the used time and maintenance times of key equipment of the micro-grid at regular intervals; constructing a key equipment working state monitoring index model formula; the specific key equipment working state monitoring index model formula is as follows:in the formula, CEOSMI k For the key device operating state monitoring index at the kth monitoring time point, j is the number of the micro grid key device, j=1, 2 0 ，j 0 For the total number of micro-grid critical devices, +.>For the used duration of the jth micro-grid key device at the kth monitoring time point, the MUT j The maximum usable time period, κ, for the j-th micro-grid critical device 1 Weight ratio value in key equipment working state monitoring index for used time length, +.>For the maintenance times of the jth micro-grid key equipment at the kth monitoring time point, MMC j Kappa, the maximum maintenance number of the j-th micro-grid key equipment 2 And for maintaining the weight proportion value of the times in the key equipment working state monitoring index, l is the correction coefficient of the key equipment working state monitoring index.
Further, the specific calculation method of the network communication reliability index comprises the following steps: extracting micro-grid communication equipment data from operation monitoring parameter data, and setting for micro-grid communicationNumbering is carried out; monitoring the normal operation time length of the communication equipment, the total operation time length of the communication equipment, the successful times of communication data transmission and the total times of communication data transmission of the micro-grid communication equipment at regular intervals; constructing a network communication reliability index model formula; the specific network communication reliability index model formula is as follows:wherein NCRI k For the network communication reliability index at the kth monitoring time point, h is the number of the microgrid communication devices, h=1, 2 0 ，h 0 For the total number of microgrid communication devices,for the normal operation duration of the communication equipment of the h micro-grid communication equipment at the kth monitoring time point, TCEOT k For the total operating duration, θ, of the communication device at the kth monitoring time point 1 Running a weight proportion value for the communication device than in the network communication reliability index, +.>TCDT is used for the successful transmission times of communication data of the h micro-grid communication device at the kth monitoring time point k For the total number of communication data transmission at the kth monitoring time point, theta 2 For the weight proportion value of the communication response power ratio in the network communication reliability index, ρ is the correction coefficient of the network communication reliability index.
Further, the specific method for dispatching the micro-grid according to the micro-grid comprehensive monitoring index data comprises the following steps: establishing a dynamic optimization scheduling model, wherein the dynamic optimization scheduling model comprises a micro-grid comprehensive monitoring index data calculation model and constraint conditions of the micro-grid comprehensive monitoring index data; the constraint conditions of the comprehensive monitoring index data of the micro-grid and the comprehensive monitoring index data of the micro-grid are acquired in real time and input into a dynamic optimization scheduling model; and solving the dynamic optimization scheduling model by adopting a numerical optimization algorithm, finding an optimal scheduling scheme, monitoring the comprehensive monitoring index data change of the micro-grid in real time, and dynamically adjusting the scheduling scheme.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. the comprehensive monitoring index data of the micro-grid is calculated based on the operation monitoring parameter data of the running state of the micro-grid obtained through monitoring, and the micro-grid is intelligently scheduled and managed according to the comprehensive monitoring index data of the micro-grid, so that the power distribution is optimized, the power supply reliability is improved, the reliability of running control of the micro-grid is improved, and the problem that the reliability of running control of the micro-grid is insufficient in the prior art is effectively solved.
2. And the constraint condition of the comprehensive monitoring index data of the micro-grid is obtained, and a dispatching model is constructed according to the comprehensive monitoring index data of the micro-grid and the constraint condition of the comprehensive monitoring index data of the micro-grid, so that the dispatching of the micro-grid is completed, and the efficiency of the micro-grid is improved.
3. By monitoring the running state of the micro-grid in real time, including parameters such as power load in grid-connected mode and island mode, output power of a distributed power supply, electric quantity of energy storage equipment and the like, comprehensive understanding of the whole running state of the micro-grid is formed, and anti-interference capability of the micro-grid is improved, so that the micro-grid is better suitable for complex and changeable power environments.
Drawings
Fig. 1 is a structural diagram of a micro-grid networking interconnection and flexible switching strategy system provided in an embodiment of the present application;
fig. 2 is a flowchart of a method for interconnecting a micro-grid network and flexibly switching a policy according to an embodiment of the present application.
Detailed Description
According to the micro-grid networking interconnection and flexible switching strategy system and method, the problem that the reliability of micro-grid operation control is insufficient in the prior art is solved, the comprehensive monitoring index data of the micro-grid is calculated based on the operation monitoring parameter data of the micro-grid operation state obtained through monitoring, intelligent scheduling and management are carried out on the micro-grid according to the comprehensive monitoring index data of the micro-grid, and the reliability of the micro-grid operation control is improved.
The technical scheme in the embodiment of the application aims to solve the problem that the reliability of the operation control of the micro-grid is insufficient in the prior art, and the overall thought is as follows:
the comprehensive monitoring index data of the micro-grid is calculated based on the operation monitoring parameter data of the micro-grid operation state obtained through monitoring, wherein the comprehensive monitoring index data comprises a micro-grid whole-grid electric quantity balance index, a distributed energy response speed index, an energy storage device electric quantity balance index, an energy storage device charging and discharging efficiency stability index, a key device working state monitoring index and a network communication reliability index, intelligent scheduling and management are carried out on the micro-grid according to the comprehensive monitoring index data of the micro-grid, and the reliability of micro-grid operation control is improved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
As shown in fig. 1, a structural diagram of a micro-grid networking interconnection and flexible switching policy system provided in an embodiment of the present application is shown, where the system includes: the micro-grid comprehensive monitoring system comprises an operation monitoring data acquisition module, a micro-grid comprehensive monitoring index calculation module and an optimization scheduling module; and the operation monitoring data acquisition module is used for: operation monitoring parameter data for monitoring the operation state of the micro-grid in real time; the micro-grid comprehensive monitoring index calculation module: the method comprises the steps of calculating micro-grid comprehensive monitoring index data according to operation monitoring parameter data acquired in real time, wherein the micro-grid comprehensive monitoring index data comprises micro-grid whole-grid electric quantity balance index, distributed energy response speed index, energy storage device electric quantity balance index, energy storage device charge and discharge efficiency stability index, key equipment working state monitoring index and network communication reliability index; and (3) an optimal scheduling module: and the constraint condition is used for acquiring the comprehensive monitoring index data of the micro-grid, and the micro-grid is scheduled according to the comprehensive monitoring index data of the micro-grid.
As shown in fig. 2, a flowchart of a method for interconnecting a micro-grid networking and flexibly switching a policy provided by an embodiment of the present application is provided, where the method for interconnecting a micro-grid networking and flexibly switching a policy provided by an embodiment of the present application includes the following steps: operation monitoring parameter data for monitoring the operation state of the micro-grid in real time; calculating micro-grid comprehensive monitoring index data according to operation monitoring parameter data acquired in real time, wherein the micro-grid comprehensive monitoring index data comprises a micro-grid whole-grid electric quantity balance index, a distributed energy response speed index, an energy storage device electric quantity balance index, an energy storage device charge and discharge efficiency stability index, a key device working state monitoring index and a network communication reliability index; and obtaining constraint conditions of the comprehensive monitoring index data of the micro-grid, and scheduling the micro-grid according to the comprehensive monitoring index data of the micro-grid.
Further, the operation monitoring parameter data includes: total electric quantity required value, total electric quantity supply value, distributed power generation comprehensive energy efficiency, energy storage device efficiency, micro-grid energy storage device data, micro-grid key equipment data and micro-grid communication equipment data. The whole-network electric quantity balance index of the micro-grid is used for measuring the whole electric quantity balance condition of the micro-grid and reflecting whether the power supply and the demand are balanced or not. The distributed energy response speed index is used for evaluating the response speed of distributed energy (such as solar energy and wind energy) to the change of power demand in the micro-grid and reflecting the scheduling flexibility of the distributed energy. The energy storage device electric quantity balance index is used for measuring the electric quantity balance condition of the energy storage device in the micro-grid and reflecting the charge and discharge balance of the energy storage system. The energy storage device charge and discharge efficiency stability index is used for evaluating the charge and discharge efficiency stability of the energy storage device and reflecting the performance of the energy storage system under different working conditions. The key equipment working state monitoring index is used for monitoring the working state of key equipment in the micro-grid, including the ageing degree, maintenance condition and special event response speed of the equipment. The network communication reliability index is used for measuring the reliability of the micro-grid communication system and reflects the stability and the reliability of the communication equipment when transmitting data.
In the embodiment, the overall understanding of the overall running state of the micro-grid is formed by monitoring the running state of the micro-grid in real time, including parameters such as power loads in a grid-connected mode and an island mode, output power of a distributed power supply, electric quantity of energy storage equipment and the like.
Further, the whole-network electric quantity balance index of the micro-grid is providedThe volume calculation method comprises the following steps: reading a total electric quantity required value and a total electric quantity supply value of the micro-grid at intervals of a certain time interval, and numbering the reading times; constructing a micro-grid whole-grid electric quantity balance index model formula according to the formula; the specific micro-grid whole-grid electric quantity balance index formula is as follows:in (1) the->Is at the mth 0 Micro-grid full-grid electric quantity balance index in secondary reading, e is a natural constant, m 0 For the number of reading times, m 0 =1, 2,..m, m is the total number of reads, +.>Is the mth 0 Total power supply value of secondary reading, +.>Is the mth 0 And the total electric quantity required value read for the time, and tau is a correction factor of the electric quantity balance index of the whole micro-grid.
In this embodiment, by considering the total power demand and supply value of the micro-grid, the index can comprehensively evaluate the power balance of the micro-grid, which is helpful for the system to more comprehensively understand the power condition inside the micro-grid and provide basic data for optimizing power dispatching.
Further, the specific calculation method of the distributed energy response speed index comprises the following steps: extracting the distributed power generation comprehensive energy efficiency and the energy storage device efficiency of the micro-grid from the operation monitoring parameter data; monitoring the solar illumination intensity and the wind speed of the place where the micro-grid power station is located at regular intervals, and numbering monitoring time points; constructing a distributed energy response speed index model formula; the specific formula of the distributed energy response speed index model is as follows:in the method, in the process of the invention,DERSI k for the distributed energy response speed index at the kth monitoring time point, k is the number of the monitoring time point, k=1, 2 0 ，k 0 To monitor the total number of time points, DEGE k IL (IL) for distributed power generation integrated energy efficiency k For the kth monitoring time point of solar illumination intensity, IL 0 Is the unit value of the sun illumination intensity sigma 1 WS, a weight coefficient of solar illumination intensity for comprehensive energy efficiency of distributed power generation k Wind speed, WS, for the kth monitoring time point 0 Is the wind speed unit value sigma 2 Weighting coefficient lambda of wind speed to comprehensive energy efficiency of distributed power generation 1 The ESR is the efficiency of the energy storage device and lambda is the weight coefficient of the integrated energy efficiency of the distributed power generation in the index of the response speed of the distributed energy 2 And the weight coefficient of the energy storage device efficiency in the distributed energy response speed index.
In the embodiment, the response speed index of the distributed energy can be used for comprehensively evaluating the response speed of the distributed energy in the micro-grid to the external environment change by considering a plurality of factors such as the comprehensive energy efficiency of the distributed power generation, the solar illumination intensity, the wind speed and the like. This helps to fully understand the impact of factors in the microgrid on energy. The solar illumination intensity and the wind speed are introduced, and the influence of natural environment factors of the place where the micro-grid is located on the comprehensive energy efficiency of distributed generation can be balanced better through adjustment of the weight coefficient. This helps to make the index more truly reflect the weather and geographical conditions of the region in which the microgrid is located.
Further, the specific calculation method of the electric quantity balance index of the energy storage device comprises the following steps: extracting data of the micro-grid energy storage device from the operation monitoring parameter data, and numbering the micro-grid energy storage device; monitoring the charging efficiency, discharging efficiency, available electric quantity and battery capacity of the micro-grid energy storage device at regular intervals; constructing an energy storage device electric quantity balance index model formula; the specific energy storage device electric quantity balance index model formula is as follows:in the method, in the process of the invention,ESSEI k for the energy storage device charge balance index at the kth monitoring time point, i is the number of the microgrid energy storage device, i=1, 2 0 ，i 0 For the total number of energy storage devices of the micro-grid, +.> Charging efficiency, discharging efficiency, available electric quantity and battery capacity of the ith micro-grid energy storage device at the kth monitoring time point, phi 1 、φ 2 、φ 3 、φ 4 The weight ratio of the charging efficiency, the discharging efficiency, the available electric quantity and the battery capacity in the electric quantity balance index of the energy storage device are respectively +.>Is a correction coefficient of the energy storage device electric quantity balance index.
In this embodiment, factors such as charging efficiency, discharging efficiency, available electric quantity, and battery capacity are introduced, so that the state of the energy storage device in the micro-grid can be considered more comprehensively and comprehensively. The method is favorable for comprehensively reflecting various aspects of the charging, discharging and energy storage processes in the electric quantity balance index of the energy storage device, and improves the comprehensiveness and accuracy of the index. The available electric quantity and the battery capacity are considered, so that the energy storage state and the energy storage capacity of the energy storage device can be judged. This provides more specific reference information for the micro-grid in coping with peak demand and grid fluctuations.
Further, the specific calculation method of the stability index of the charge and discharge efficiency of the energy storage device comprises the following steps: monitoring charging and discharging efficiency of the micro-grid energy storage device, temperature of the energy storage device and environmental temperature of the energy storage device at regular intervals; constructing an energy storage device charge and discharge efficiency stability index model formula; the specific energy storage device charge and discharge efficiency stability index model formula is:in the formula, ESESESI k CDE to stabilize the index of energy storage device charge-discharge efficiency at the kth monitoring time point k Charge-discharge efficiency for kth monitoring time point, +.>For the energy storage device temperature of the ith micro-grid energy storage device at the kth monitoring time point, mu 1 Weight ratio value of energy storage device temperature in energy storage device charge-discharge efficiency stability index, +.>For the energy storage device ambient temperature, μ of the ith microgrid energy storage device at the kth monitoring time point 2 Weight ratio value of energy storage device ambient temperature in energy storage device charge-discharge efficiency stability index, +.>And the correction coefficient of the stability index of the charge and discharge efficiency of the energy storage device.
In the embodiment, factors such as charge and discharge efficiency, energy storage device temperature, energy storage device environment temperature and the like are introduced, and the change of efficiency and temperature of the energy storage device in operation is comprehensively considered. This helps to more fully and accurately evaluate the performance of the energy storage device under different conditions. And the comprehensive evaluation of the charge and discharge efficiency, the temperature of the energy storage device and the environmental temperature of the energy storage device is beneficial to comprehensively knowing the stability of the energy storage equipment under different conditions. This is of great importance for the microgrid manager to formulate operational strategies and to prevent potential problems.
Further, the specific calculation method of the key equipment working state monitoring index comprises the following steps: extracting micro-grid key equipment data from the operation monitoring parameter data, and numbering the micro-grid key equipment; monitoring the used time and maintenance times of key equipment of the micro-grid at regular intervals; constructing a key equipment working state monitoring index model formula; the specific key equipment working state monitoring index model formula is as follows:wherein CEOSMIk is a key device operation state monitoring index at a kth monitoring time point, j is a number of a key device of the micro grid, j=1, 2, & gt, j 0 ，j 0 For the total number of micro-grid critical devices, +.>For the used time length of the jth micro-grid key device at the kth monitoring time point, MUTj is the maximum usable time length of the jth micro-grid key device, and kappa 1 Weight ratio value in key equipment working state monitoring index for used time length, +.>For the maintenance times of the jth micro-grid key equipment at the kth monitoring time point, MMC j Kappa, the maximum maintenance number of the j-th micro-grid key equipment 2 And for maintaining the weight proportion value of the times in the key equipment working state monitoring index, l is the correction coefficient of the key equipment working state monitoring index.
In this embodiment, the comprehensive consideration of the used duration and the usable maximum duration enables the key device operating state monitoring index to more comprehensively evaluate the service life and use condition of the device. The method is helpful for timely finding out the problems of overlong service life or insufficient maintenance of the equipment, and taking measures in advance to avoid equipment faults. The concept of maintenance times and maximum maintenance times is introduced, so that the periodic maintenance condition of the equipment can be better considered. By monitoring the maintenance times, the health condition of the equipment can be found in time, and potential problems can be prevented.
Further, the specific calculation method of the network communication reliability index comprises the following steps: extracting micro-grid communication equipment data from the operation monitoring parameter data, and numbering the micro-grid communication equipment; monitoring the normal operation time length of the communication equipment, the total operation time length of the communication equipment, the successful times of communication data transmission and the total times of communication data transmission of the micro-grid communication equipment at regular intervals; constructing a network communication reliability index model formula; specific network communication reliabilityThe exponential model formula is:wherein NCRI k For the network communication reliability index at the kth monitoring time point, h is the number of the microgrid communication devices, h=1, 2 0 ，h 0 For the total number of microgrid communication devices,for the normal operation duration of the communication equipment of the h micro-grid communication equipment at the kth monitoring time point, TCEOT k For the total operating duration, θ, of the communication device at the kth monitoring time point 1 Running a weight proportion value for the communication device than in the network communication reliability index, +.>TCDT is used for the successful transmission times of communication data of the h micro-grid communication device at the kth monitoring time point k For the total number of communication data transmission at the kth monitoring time point, theta 2 For the weight proportion value of the communication response power ratio in the network communication reliability index, ρ is the correction coefficient of the network communication reliability index.
In this embodiment, by monitoring the normal operation duration and the total operation duration of the communication device, the performance and stability of the communication device can be comprehensively evaluated. This helps to discover faults or anomalies in the communication device in time, improving the reliability of the communication device. By monitoring the successful times of communication data transmission and the total times of communication data transmission, the weight proportion of the communication response power ratio in the network communication reliability index is introduced, the response condition of communication is comprehensively considered, and the actual usability of the communication system is evaluated.
Further, the specific method for dispatching the micro-grid according to the comprehensive monitoring index data of the micro-grid comprises the following steps: establishing a dynamic optimization scheduling model, wherein the dynamic optimization scheduling model comprises a micro-grid comprehensive monitoring index data calculation model and constraint conditions of the micro-grid comprehensive monitoring index data; the constraint conditions of the comprehensive monitoring index data of the micro-grid and the comprehensive monitoring index data of the micro-grid are acquired in real time and input into a dynamic optimization scheduling model; and solving the dynamic optimization scheduling model by adopting a numerical optimization algorithm, finding an optimal scheduling scheme, monitoring the comprehensive monitoring index data change of the micro-grid in real time, and dynamically adjusting the scheduling scheme.
In this embodiment, constraints may cover mathematical expressions of various energy sources and loads inside the micro-grid to ensure that the operational conditions of aspects of the micro-grid are taken into account during the scheduling process. And acquiring comprehensive monitoring index data of the micro-grid, wherein the data are important parameters input by a dynamic scheduling model and reflect the current running state of the micro-grid. And solving the established dynamic optimization scheduling model by adopting a numerical optimization algorithm. This includes a series of advanced numerical optimization methods such as linear programming, integer programming, genetic algorithms, etc. to find the optimal scheduling scheme. The choice of algorithm depends on the specific characteristics of the microgrid and the problem requirements.
The technical scheme in the embodiment of the application at least has the following technical effects or advantages: relative to the bulletin number: according to the microgrid power supply recovery method based on the distributed power supply ad hoc network strategy disclosed by the invention patent publication CN103401241B, the embodiment of the application calculates the comprehensive monitoring index data of the microgrid based on the operation monitoring parameter data of the operation state of the microgrid obtained by monitoring, and intelligently schedules and manages the microgrid according to the comprehensive monitoring index data of the microgrid, so that the power distribution is optimized, the power supply reliability is improved, the reliability of the operation control of the microgrid is improved, and the problem of insufficient reliability of the operation control of the microgrid in the prior art is effectively solved; relative to the bulletin number: according to the micro-grid multi-operation-mode control and switching method disclosed by the patent publication of CN105429297B, the embodiment of the application constructs a dispatching model according to the micro-grid comprehensive monitoring index data and the constraint conditions thereof by acquiring the constraint conditions of the micro-grid comprehensive monitoring index data, so that the micro-grid is dispatched, and the efficiency of the micro-grid is improved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A micro-grid networking interconnection and flexible switching strategy system, comprising: the micro-grid comprehensive monitoring system comprises an operation monitoring data acquisition module, a micro-grid comprehensive monitoring index calculation module and an optimization scheduling module;
the operation monitoring data acquisition module is used for: operation monitoring parameter data for monitoring the operation state of the micro-grid in real time;
the micro-grid comprehensive monitoring index calculation module is used for: the method comprises the steps of calculating micro-grid comprehensive monitoring index data according to operation monitoring parameter data acquired in real time, wherein the micro-grid comprehensive monitoring index data comprises a micro-grid whole-grid electric quantity balance index, a distributed energy response speed index, an energy storage device electric quantity balance index, an energy storage device charge and discharge efficiency stability index, a key device working state monitoring index and a network communication reliability index;
the optimal scheduling module is used for: and the constraint condition is used for acquiring the comprehensive monitoring index data of the micro-grid, and the micro-grid is scheduled according to the comprehensive monitoring index data of the micro-grid.
2. A micro-grid networking and flexible switching strategy method for the micro-grid networking and flexible switching strategy system of claim 1, comprising the steps of:
operation monitoring parameter data for monitoring the operation state of the micro-grid in real time;
calculating micro-grid comprehensive monitoring index data according to operation monitoring parameter data acquired in real time, wherein the micro-grid comprehensive monitoring index data comprises a micro-grid whole-grid electric quantity balance index, a distributed energy response speed index, an energy storage device electric quantity balance index, an energy storage device charge and discharge efficiency stability index, a key device working state monitoring index and a network communication reliability index;
and obtaining constraint conditions of the comprehensive monitoring index data of the micro-grid, and scheduling the micro-grid according to the comprehensive monitoring index data of the micro-grid.
3. The micro-grid networking interconnection and flexible switching strategy method of claim 2, wherein the operation monitoring parameter data comprises: total electric quantity required value, total electric quantity supply value, distributed power generation comprehensive energy efficiency, energy storage device efficiency, micro-grid energy storage device data, micro-grid key equipment data and micro-grid communication equipment data.
4. The method for interconnecting and flexibly switching the micro-grid networking according to claim 3, wherein the specific calculation method of the micro-grid full-grid electric quantity balance index is as follows:
reading a total electric quantity required value and a total electric quantity supply value of the micro-grid at intervals of a certain time interval, and numbering the reading times;
constructing a micro-grid whole-grid electric quantity balance index model formula according to the formula;
the specific micro-grid whole-grid electric quantity balance index formula is as follows:
in the method, in the process of the invention,is at the mth 0 Micro-grid full-grid electric quantity balance index in secondary reading, e is a natural constant, m 0 For the number of reading times, m 0 =1, 2,..m, m is the total number of reads, +.>Is the mth 0 Total power supply value of secondary reading, +.>Is the mth 0 And the total electric quantity required value read for the time, and tau is a correction factor of the electric quantity balance index of the whole micro-grid.
5. The method for interconnecting and flexibly switching micro-grid networking according to claim 4, wherein the specific calculation method of the distributed energy response speed index is as follows:
extracting the distributed power generation comprehensive energy efficiency and the energy storage device efficiency of the micro-grid from the operation monitoring parameter data;
monitoring the solar illumination intensity and the wind speed of the place where the micro-grid power station is located at regular intervals, and numbering monitoring time points;
constructing a distributed energy response speed index model formula;
the specific formula of the distributed energy response speed index model is as follows:
in the formula, DERSI k For the distributed energy response speed index at the kth monitoring time point, k is the number of the monitoring time point, k=1, 2 0 ，k 0 To monitor the total number of time points, DEGE k IL (IL) for distributed power generation integrated energy efficiency k For the kth monitoring time point of solar illumination intensity, IL 0 Is the unit value of the sun illumination intensity sigma 1 WS, a weight coefficient of solar illumination intensity for comprehensive energy efficiency of distributed power generation k Wind speed, WS, for the kth monitoring time point 0 Is the wind speed unit value sigma 2 Weighting coefficient lambda of wind speed to comprehensive energy efficiency of distributed power generation 1 Is a distributed power generation healdWeight coefficient of energy efficiency in distributed energy response speed index, ESR is energy storage device efficiency, lambda 2 And the weight coefficient of the energy storage device efficiency in the distributed energy response speed index.
6. The method for interconnecting and flexibly switching the micro-grid networking according to claim 5, wherein the specific calculation method of the power balance index of the energy storage device is as follows:
extracting data of the micro-grid energy storage device from the operation monitoring parameter data, and numbering the micro-grid energy storage device;
monitoring the charging efficiency, discharging efficiency, available electric quantity and battery capacity of the micro-grid energy storage device at regular intervals;
constructing an energy storage device electric quantity balance index model formula;
the specific energy storage device electric quantity balance index model formula is as follows:
in ESSEI k For the energy storage device charge balance index at the kth monitoring time point, i is the number of the microgrid energy storage device, i=1, 2 0 ，i 0 For the total number of micro-grid energy storage devices, charging efficiency, discharging efficiency, available electric quantity and battery capacity of the ith micro-grid energy storage device at the kth monitoring time point, phi 1 、φ 2 、φ 3 、φ 4 The weight ratio of the charging efficiency, the discharging efficiency, the available electric quantity and the battery capacity in the electric quantity balance index of the energy storage device are respectively +.>Is a correction coefficient of the energy storage device electric quantity balance index.
7. The method for interconnecting and flexibly switching the micro-grid networking according to claim 6, wherein the specific calculation method of the stability index of the charge and discharge efficiency of the energy storage device is as follows:
monitoring charging and discharging efficiency of the micro-grid energy storage device, temperature of the energy storage device and environmental temperature of the energy storage device at regular intervals;
constructing an energy storage device charge and discharge efficiency stability index model formula;
the specific energy storage device charge and discharge efficiency stability index model formula is:
in the formula, ESESESI k CDE to stabilize the index of energy storage device charge-discharge efficiency at the kth monitoring time point k For the charge-discharge efficiency at the kth monitoring time point,for the energy storage device temperature of the ith micro-grid energy storage device at the kth monitoring time point, mu 1 Weight ratio value of energy storage device temperature in energy storage device charge-discharge efficiency stability index, +.>For the energy storage device ambient temperature, μ of the ith microgrid energy storage device at the kth monitoring time point 2 Weight ratio value of energy storage device ambient temperature in energy storage device charge-discharge efficiency stability index, +.>And the correction coefficient of the stability index of the charge and discharge efficiency of the energy storage device.
8. The micro-grid networking interconnection and flexible switching strategy method as claimed in claim 4, wherein: the specific calculation method of the key equipment working state monitoring index comprises the following steps:
extracting micro-grid key equipment data from the operation monitoring parameter data, and numbering the micro-grid key equipment;
monitoring the used time and maintenance times of key equipment of the micro-grid at regular intervals;
constructing a key equipment working state monitoring index model formula;
the specific key equipment working state monitoring index model formula is as follows:
in the formula, CEOSMI k For the key device operating state monitoring index at the kth monitoring time point, j is the number of the micro grid key device, j=1, 2 0 ，j 0 As a total number of key devices of the micro-grid,for the used duration of the jth micro-grid key device at the kth monitoring time point, the MUT j The maximum usable time period, κ, for the j-th micro-grid critical device 1 Weight ratio value in key equipment working state monitoring index for used time length, +.>For the maintenance times of the jth micro-grid key equipment at the kth monitoring time point, MMC j Kappa, the maximum maintenance number of the j-th micro-grid key equipment 2 And for maintaining the weight proportion value of the times in the key equipment working state monitoring index, l is the correction coefficient of the key equipment working state monitoring index.
9. The micro-grid networking interconnection and flexible switching strategy method as claimed in claim 4, wherein: the specific calculation method of the network communication reliability index comprises the following steps:
extracting micro-grid communication equipment data from the operation monitoring parameter data, and numbering the micro-grid communication equipment;
monitoring the normal operation time length of the communication equipment, the total operation time length of the communication equipment, the successful times of communication data transmission and the total times of communication data transmission of the micro-grid communication equipment at regular intervals;
constructing a network communication reliability index model formula;
the specific network communication reliability index model formula is as follows:
wherein NCRI k For the network communication reliability index at the kth monitoring time point, h is the number of the microgrid communication devices, h=1, 2 0 ，h 0 For the total number of microgrid communication devices,for the normal operation duration of the communication equipment of the h micro-grid communication equipment at the kth monitoring time point, TCEOT k For the total operating duration, θ, of the communication device at the kth monitoring time point 1 Running a weight proportion value for the communication device than in the network communication reliability index, +.>TCDT is used for the successful transmission times of communication data of the h micro-grid communication device at the kth monitoring time point k For the total number of communication data transmission at the kth monitoring time point, theta 2 For the weight proportion value of the communication response power ratio in the network communication reliability index, ρ is the correction coefficient of the network communication reliability index.
10. The method for interconnecting and flexibly switching the micro-grid networking according to claim 2, wherein the specific method for scheduling the micro-grid according to the comprehensive monitoring index data of the micro-grid is as follows:
establishing a dynamic optimization scheduling model, wherein the dynamic optimization scheduling model comprises a micro-grid comprehensive monitoring index data calculation model and constraint conditions of the micro-grid comprehensive monitoring index data;
the constraint conditions of the comprehensive monitoring index data of the micro-grid and the comprehensive monitoring index data of the micro-grid are acquired in real time and input into a dynamic optimization scheduling model;
and solving the dynamic optimization scheduling model by adopting a numerical optimization algorithm, finding an optimal scheduling scheme, monitoring the comprehensive monitoring index data change of the micro-grid in real time, and dynamically adjusting the scheduling scheme.
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