CN111709580A - Micro-grid source-load matching evaluation method, system and equipment - Google Patents
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Abstract
The invention discloses a method, a system and equipment for evaluating the source-load matching of a microgrid, wherein the method comprises the following steps: acquiring power consumption data of a microgrid, establishing an evaluation index of microgrid source-load matching, analyzing the influence of demand side management and power storage equipment on the evaluation index respectively, and establishing a microgrid source-load matching overall evaluation index according to an analysis result; and evaluating the matching of the micro-grid source charge. According to the embodiment of the invention, the influence of the energy storage equipment in the microgrid and a demand response strategy on the evaluation index is analyzed in a quantitative mode, the source-load matching performance of the microgrid is effectively evaluated by fully utilizing the flexibility of the controllable load, and the overall evaluation index of the source-load matching performance of the microgrid is established on the basis, so that source-load cooperative optimization scheduling is realized, and the operation efficiency of the microgrid is improved.
Description
Technical Field
The invention relates to the field of microgrid source-load matching, in particular to a microgrid source-load matching evaluation method, a microgrid source-load matching evaluation system and microgrid source-load matching evaluation equipment.
Background
In recent years, due to excessive consumption of fossil energy, the development, use and environmental protection of energy in China bear great pressure, and the aims of energy conservation and emission reduction are urgently needed to be achieved by formulating a reasonable policy and combining corresponding energy conversion and substitution technologies. The use of renewable energy and microgrid technology improves the above problems to some extent, but with the large-scale access of renewable distributed energy and microgrid, the influence of the end user on the system running state is greater and greater. For example, some distributed power supplies are selected to be connected into a power distribution network from a low-voltage side, so that while the power output characteristics are subjected to detailed modeling, the terminal load characteristics also need to be subjected to detailed analysis, and the matching performance of the power output and the terminal load is a key factor for measuring the performance of the distributed power supplies and influencing the operation of a power grid; in addition, the performance of the distributed photo-thermal system after being connected can also be influenced by the thermal load curve. To reduce the consequences of global warming, the use of fossil fuels and carbon dioxide emissions must be reduced. This can be achieved by reducing end use of energy and increasing use of renewable energy. Therefore, the micro-grid containing the renewable energy power generation is economical and environment-friendly, the on-site consumption of the renewable energy power generation can be realized, the energy utilization rate can be improved, and the conflict between the energy consumption and the environmental protection can be relieved.
The biggest problem of power generation by using renewable energy sources is that the fluctuation of the renewable energy sources can cause the intermittence of power generation, and simultaneously, the source load mismatching problem of the micro-grid can occur in combination with the uncertainty of the energy using behaviors of micro-grid users. In addition, the high permeability of distributed generation may cause the grid-connected point voltage of the distribution network to be too high, which is essentially caused by the fact that the distributed generation capacity is not matched with the local load, i.e., the source load is not matched. The mismatching of the source load of the micro-grid can cause the energy waste condition of wind abandoning and light abandoning, thereby reducing the operating efficiency of the micro-grid.
In summary, in the prior art, the microgrid has a technical problem of low operation efficiency due to the mismatching of the source and the load of the microgrid.
Disclosure of Invention
The invention provides a method, a system and equipment for evaluating the source-load matching of a micro-grid, which are used for solving the technical problem of low operation efficiency of the micro-grid caused by source-load mismatching of the micro-grid in the prior art.
The invention provides a micro-grid source load matching evaluation method, which comprises the following steps:
acquiring power consumption data of a microgrid;
establishing an evaluation index of the source-load matching of the microgrid based on the electricity utilization data of the microgrid, wherein the evaluation index comprises a load coverage coefficient gammaloadAnd a power supply rate coefficient gammasupply；
Respectively analyzing the influence of demand side management and power storage equipment on evaluation indexes, and establishing a micro-grid source-load matching overall evaluation index according to an analysis result;
and evaluating the matching of the source and the load of the microgrid by adopting the overall evaluation index of the matching of the source and the load of the microgrid.
Preferably, the electricity consumption data includes load demand and power generation.
Preferably, the load coverage coefficient γloadThe specific expression of (A) is as follows:
wherein, tau1And τ2Respectively carrying out initial time and termination time for source load matching evaluation; l (t) is the load demand in the microgrid in the period t; and P (t) is the power generation amount of the microgrid in the period t.
Preferably, the power supply rate coefficient γsupplyThe specific expression of (A) is as follows:
wherein, tau1And τ2Respectively carrying out initial time and termination time for source load matching evaluation; l (t) is the load demand in the microgrid in the period t; and P (t) is the power generation amount of the microgrid in the period t.
Preferably, the specific process for analyzing the influence of the demand-side management on the evaluation index is as follows:
determining a relational expression of time-shiftable loads of the microgrid and load requirements of the microgrid;
analyzing and adjusting the change of the load demand of the micro-grid in the process of time-shifting the load according to the relational expression;
and analyzing the influence of the change of the load demand of the microgrid on the evaluation index.
Preferably, the specific process of analyzing the influence of the power storage equipment on the evaluation index is as follows:
equivalent load of the power storage equipment, and determining a relational expression between the load and the load demand of the microgrid;
analyzing and adjusting the change of the load demand of the microgrid in the process of the charging time and the discharging time of the load according to the relational expression;
and analyzing the influence of the change of the load demand of the microgrid on the evaluation index.
Preferably, the overall evaluation index of the source-charge matching of the microgrid is as follows:
γ＝γload·γsupply。
wherein gamma is the source-load matching overall evaluation index of the microgrid.
A microgrid source-to-charge matching system comprising: the system comprises a data acquisition module, an evaluation index module and an overall evaluation index module;
the data acquisition module is used for acquiring the power consumption data of the microgrid;
the evaluation index module is used for establishing an evaluation index of the microgrid source-load matching based on the electricity utilization data of the microgrid, and the evaluation index comprises a load coverage coefficient gammaloadAnd a power supply rate coefficient gammasupply；
The overall evaluation index module is used for respectively analyzing the influence of the demand side management and the power storage equipment on the evaluation index, establishing a microgrid source-load matching overall evaluation index according to the analysis result, and evaluating the matching of the microgrid source-load.
Preferably, the electricity consumption data includes load demand and power generation.
A microgrid source-charge matching evaluation device comprises a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the micro-grid source load matching evaluation method according to instructions in the program codes.
According to the technical scheme, the embodiment of the invention has the following advantages:
according to the method and the device, the evaluation index of the source-load matching of the microgrid is established, the influence of the demand side management and the power storage equipment on the evaluation index is respectively analyzed, and the overall evaluation index of the source-load matching of the microgrid is established according to the analysis result, so that the source-load matching of the microgrid is evaluated. According to the embodiment of the invention, the influence of the energy storage equipment in the microgrid and a demand response strategy on the evaluation index is analyzed in a quantitative mode, the source-load matching performance of the microgrid is effectively evaluated by fully utilizing the flexibility of the controllable load, and the overall evaluation index of the source-load matching performance of the microgrid is established on the basis, so that source-load cooperative optimization scheduling is realized, and the operation efficiency of the microgrid is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a method, a system, and an apparatus for evaluating matching between a source and a load of a microgrid according to an embodiment of the present invention.
Fig. 2 is a system structure diagram of a method, a system, and an apparatus for evaluating matching between a source and a load of a microgrid according to an embodiment of the present invention.
Fig. 3 is an apparatus framework diagram of a method, a system, and an apparatus for evaluating matching between a source and a load of a microgrid according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a power distribution system architecture of a method, a system, and a device for evaluating the matching between the source and the load of a microgrid according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of typical load curves of the MG1-MG4 of the method, system, and apparatus for evaluating the matching of the source loads of the microgrid according to the embodiment of the present invention.
Fig. 6 is a schematic diagram of distributed power output of the MG1-MG4 of the method, system, and apparatus for evaluating matching between source and charge of a microgrid provided by the embodiment of the present invention.
Fig. 7 is a schematic diagram of load coverage coefficients of MG1-MG4 of a method, a system, and an apparatus for evaluating matching between a source and a load of a microgrid according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of power supply rate coefficients of MG1-MG4 of a method, a system, and an apparatus for evaluating matching between a source and a load of a microgrid according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a system and equipment for predicting power consumption of a user, which are used for solving the technical problem that in the prior art, an intelligent power utilization technology only has few researches based on a power grid side, so that a power enterprise cannot accurately and reasonably predict the future power consumption trend of the user.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, fig. 1 is a flowchart illustrating a method, a system and a device for predicting power consumption of a user according to an embodiment of the present invention.
The embodiment of the invention provides a micro-grid source load matching evaluation method, which comprises the following steps:
the method comprises the steps of obtaining power consumption data of the microgrid, wherein the power consumption data comprise load demands and generated energy, the load demands are obtained through an ammeter or other measuring equipment of a user terminal, the generated energy is obtained through a microgrid energy management center or a measuring device attached to a power supply, and the power consumption data of the microgrid are obtained in advance so as to prepare for subsequently establishing evaluation indexes.
Establishing an evaluation index of the source-load matching of the microgrid based on the electricity utilization data of the microgrid, wherein the evaluation index comprises a load coverage coefficient gammaloadAnd a power supply rate coefficient gammasupply(ii) a The load coverage coefficient is used for reflecting the proportion of the electric quantity supplied to the microgrid load in the distributed electric generation quantity to the microgrid electric load; and the electric energy supply rate coefficient is used for reflecting the electric quantity supplied to the microgrid load in the distributed electric energy generationIn proportion to the total amount of distributed power generation.
On the basis of establishing a micro-grid source-load matching evaluation index system, quantitative analysis of micro-grid source-load matching influence factors is further carried out, and therefore measures for improving the micro-grid source-load matching are excavated. The embodiment provides two effective measures for improving the source-load matching degree, wherein the first is to increase demand side management, and the second is to increase electricity storage facilities; the influence of demand side management and power storage equipment on the evaluation index is analyzed respectively, and a micro-grid source-load matching overall evaluation index is established according to the analysis result;
and evaluating the matching of the micro-grid source and the micro-grid load by adopting the overall evaluation index of the micro-grid source and load matching, thereby realizing the analysis of the source and load matching of the micro-grid.
As a preferred embodiment, the load coverage factor γloadThe specific expression of (A) is as follows:
wherein, tau1And τ2Respectively carrying out initial time and termination time for source load matching evaluation; l (t) is the load demand in the microgrid in the period t; and P (t) is the power generation amount of the microgrid in the period t.
As a preferred embodiment, the power supply rate coefficient γsupplyThe specific expression of (A) is as follows:
wherein, tau1And τ2Respectively carrying out initial time and termination time for source load matching evaluation; l (t) is the load demand in the microgrid in the period t; and P (t) is the power generation amount of the microgrid in the period t.
As a preferred embodiment, the specific process for analyzing the influence of the demand side management on the evaluation index is as follows:
the demand side management proposed in this embodiment is to substantially adjust a time-shiftable load in the microgrid load, and first, a relational expression between the time-shiftable load of the microgrid and the load demand of the microgrid is determined, where the specific relational expression is as follows:
wherein L (tau) is the load demand of the micro-grid, LBRigid loads that are not time-shiftable; n is the number of time-shiftable loads; tau isiA time shift amount that is a time-shiftable load i; l isi(t-τi) The load after time shift is the time-shifted load i.
Time shift vector τ ═ τ1，τ2...τN]Is determined by the following formula:
analyzing and adjusting the change of the load demand of the micro-grid in the process of time-shifting the load according to the relational expression; from the above equation, the time shift τ of the time-shiftable load is adjustediA value L (tau) that affects the load demand of the microgrid, the value of L (tau) being greater
The smaller the value of (b), the smaller the difference between the distributed power generation curve and the load curve is shown on the image, the distributed power generation curve and the load curve are closer, compared with the condition that no demand side management is adopted, the values of min (p (t), l (t)) are improved, and the total load power demand of the microgrid and the total distributed power generation amount are not changed in the whole time period, so that the load coverage rate coefficient and the power supply rate coefficient can be improved.
As a preferred embodiment, the specific process of analyzing the influence of the power storage device on the evaluation index is as follows:
firstly, equivalent power storage equipment is equivalent to a load, and on the basis, a relational expression of the micro-grid load demand in consideration of the power storage equipment is determined, wherein the relational expression is specifically as follows:
wherein L' (θ, σ) is a load demand in consideration of the power storage device; l is a load when the power storage device is not considered; n is the number of the electricity storage equipment; theta is ═ theta1，θ2，θ3...θn]Charging the power storage device; σ ═ σ [ σ ]1，σ2，σ3...σn]The discharge time of the power storage equipment; ci(θi) Charging power for the ith power storage device; di(σi) The discharge power of the ith electric storage device;
charging time vector
And discharge time vector σ ═ σ1，σ2...σn]Is determined by the following formula:
analyzing and adjusting the change of the load demand of the microgrid in the process of the charging time and the discharging time of the load according to the relational expression; assuming that the states of charge at the initial time and the end time of the analysis of the source-charge matching are equal, it can be known from the above formula that the two curves of the source-charge are as close as possible by optimizing the charging time and the discharging time, the values of the charging time vector theta and the discharging time vector sigma influence the value L '(theta, sigma) of the load demand of the microgrid, and if the value of L' (theta, sigma) is larger, the larger the value of L '(theta, sigma) is, the larger the value of L' (theta, sigma)
The smaller the value of (b) is, the smaller the difference between the distributed power generation curve and the load curve is, the distributed power generation curve and the load curve are closer to each other, compared with the condition that no power storage equipment is added, min (p (t), l (t)) is improved, and the load coverage coefficient and the electric energy supply rate coefficient are improved because the load power demand of the microgrid and the total distributed power generation amount are not changed in the whole time period.
As a preferred embodiment, the overall evaluation index of the source-load matching of the microgrid is as follows:
γ＝γload·γsupply。
wherein gamma is the source-load matching overall evaluation index of the microgrid. Through analysis of the load coverage coefficient and the electric energy supply rate coefficient, if the load coverage coefficient and the electric energy supply rate coefficient are larger, the load coverage coefficient and the electric energy supply rate coefficient are closer to 1, and therefore, the source load overall matching of the microgrid is better when the source load overall evaluation index value of the microgrid is closer to 1.
As shown in fig. 2, a microgrid source-to-charge matching system comprises: a data acquisition module 201, an evaluation index module 202 and an overall evaluation index module 203;
the data obtaining module 201 is configured to obtain power consumption data of the microgrid, and it needs to be further explained that the power consumption data includes a load demand and a power generation amount, where the load demand is obtained through an electric meter or other measuring equipment of a user terminal, and the power generation amount is obtained through a microgrid energy management center or a measuring device attached to a power supply, and the power consumption data of the microgrid is obtained in advance to prepare for subsequently establishing an evaluation index.
The evaluation index module 202 is used for establishing an evaluation index of the microgrid source-load matching based on the power utilization data of the microgrid, wherein the evaluation index comprises a load coverage coefficient gammaloadAnd a power supply rate coefficient gammasupply；
The overall evaluation index module 203 is used for analyzing the influence of the demand side management and the power storage equipment on the evaluation index respectively, and further performing quantitative analysis on the influence factors of the microgrid source-load matching on the basis of establishing a microgrid source-load matching evaluation index system, so as to mine measures for improving the microgrid source-load matching. The embodiment provides two effective measures for improving the source-load matching degree, wherein the first is to increase demand side management, and the second is to increase electricity storage facilities; the influence of demand side management and power storage equipment on the evaluation index is analyzed respectively, and a micro-grid source-load matching overall evaluation index is established according to the analysis result;
and establishing a micro-grid source-load matching overall evaluation index according to the analysis result, and evaluating the micro-grid source-load matching.
As shown in fig. 3, a microgrid source charge matching evaluation device 30 comprises a processor 300 and a memory 301;
the memory 301 is used for storing a program code 302 and transmitting the program code 302 to the processor;
the processor 300 is configured to execute the steps of a method for evaluating matching between loads of a microgrid source according to the instructions in the program code 302.
Illustratively, the computer program 302 may be partitioned into one or more modules/units that are stored in the memory 301 and executed by the processor 300 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 302 in the terminal device 30.
The terminal device 30 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 300, a memory 301. Those skilled in the art will appreciate that fig. 3 is merely an example of a terminal device 30 and does not constitute a limitation of terminal device 30 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 300 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf ProgrammaBle Gate Array (FPGA) or other ProgrammaBle logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 301 may be an internal storage unit of the terminal device 30, such as a hard disk or a memory of the terminal device 30. The memory 301 may also be an external storage device of the terminal device 30, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 30. Further, the memory 301 may also include both an internal storage unit and an external storage device of the terminal device 30. The memory 301 is used for storing the computer program and other programs and data required by the terminal device. The memory 301 may also be used to temporarily store data that has been output or is to be output.
Example 2
In this embodiment, taking a typical distribution system in south china as an example, four micro grids are connected in the distribution system, and a specific architecture of the distribution system is shown in fig. 4, where MG1 to MG4 represent the four micro grids connected to the distribution system respectively.
The load types of the MG1-MG4 and the arrangement of the devices are shown in Table 1.
TABLE 1 microgrid System information
Typical daily load curves and distributed power output curves for different microgrid systems are shown in fig. 5 and 6, respectively. In this embodiment, the source-load matching conditions of different microgrid systems are analyzed, the load coverage coefficient and the power supply rate coefficient of each microgrid system are respectively calculated and analyzed, and the specific calculation results of the indexes are respectively shown in fig. 7 and 8. After the load coverage rate coefficient and the electric energy supply rate coefficient of each microgrid system are calculated, the source-load matching performance of each microgrid is integrally analyzed according to the overall evaluation index of the source-load matching performance of the microgrid, and as can be seen from fig. 7 and 8, the configuration capacity of the energy supply equipment of the microgrid system is overall low, wherein the source-load matching performance of the MG2 and the MG3 is better.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A microgrid source-charge matching evaluation method is characterized by comprising the following steps:
acquiring power consumption data of a microgrid;
establishing an evaluation index of the source-load matching of the microgrid based on the electricity utilization data of the microgrid, wherein the evaluation index comprises a load coverage coefficient gammaloadAnd a power supply rate coefficient gammasupply；
Respectively analyzing the influence of demand side management and power storage equipment on evaluation indexes, and establishing a micro-grid source-load matching overall evaluation index according to an analysis result;
and evaluating the matching of the source and the load of the microgrid by adopting the overall evaluation index of the matching of the source and the load of the microgrid.
2. The microgrid source-charge matching evaluation method of claim 1, wherein the electricity utilization data comprises load demand and power generation capacity.
3. The method of claim 2The method for evaluating the source-load matching of the microgrid is characterized in that the load coverage rate coefficient gammaloadThe specific expression of (A) is as follows:
wherein, tau1And τ2Respectively carrying out initial time and termination time for source load matching evaluation; l (t) is the load demand in the microgrid in the period t; and P (t) is the power generation amount of the microgrid in the period t.
4. The method as claimed in claim 2, wherein the power supply rate coefficient γ is a power supply rate coefficientsupplyThe specific expression of (A) is as follows:
wherein, tau1And τ2Respectively carrying out initial time and termination time for source load matching evaluation; l (t) is the load demand in the microgrid in the period t; and P (t) is the power generation amount of the microgrid in the period t.
5. The microgrid source-load matching performance evaluation method according to claim 1, characterized in that the specific process of analyzing the influence of demand side management on the evaluation index is as follows:
determining a relational expression of time-shiftable loads of the microgrid and load requirements of the microgrid;
analyzing and adjusting the change of the load demand of the micro-grid in the process of time-shifting the load according to the relational expression;
and analyzing the influence of the change of the load demand of the microgrid on the evaluation index.
6. The microgrid source-charge matching performance evaluation method according to claim 1, characterized in that the specific process of analyzing the influence of the power storage equipment on the evaluation index is as follows:
equivalent load of the power storage equipment, and determining a relational expression between the load and the load demand of the microgrid;
analyzing and adjusting the change of the load demand of the microgrid in the process of the charging time and the discharging time of the load according to the relational expression;
and analyzing the influence of the change of the load demand of the microgrid on the evaluation index.
7. The method for evaluating the source-to-charge matching of the microgrid according to claim 1, characterized in that the overall evaluation index of the source-to-charge matching of the microgrid is as follows:
γ＝γload·γsupply
wherein gamma is the source-load matching overall evaluation index of the microgrid.
8. A microgrid source-charge matching system, comprising: the system comprises a data acquisition module, an evaluation index module and an overall evaluation index module;
the data acquisition module is used for acquiring the power consumption data of the microgrid;
the evaluation index module is used for establishing an evaluation index of the microgrid source-load matching based on the electricity utilization data of the microgrid, and the evaluation index comprises a load coverage coefficient gammaloadAnd a power supply rate coefficient gammasupply；
The overall evaluation index module is used for respectively analyzing the influence of the demand side management and the power storage equipment on the evaluation index, establishing a microgrid source-load matching overall evaluation index according to the analysis result, and evaluating the matching of the microgrid source-load.
9. The microgrid source-charge matching system of claim 8, wherein electricity consumption data includes load demand and power generation capacity.
10. The microgrid source-charge matching performance evaluation equipment is characterized by comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the microgrid source-charge matching evaluation method as claimed in any one of claims 1 to 7 according to instructions in the program code.
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