CN112670980A - Independent microgrid energy storage margin detection method - Google Patents
Independent microgrid energy storage margin detection method Download PDFInfo
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Abstract
The invention relates to the technical field of micro-grids, and discloses an independent micro-grid energy storage margin detection method, which comprises the following steps: s1: collecting information, collecting power consumption data of the microgrid and determining the energy storage margin S of the microgridDThe data of (a); s2: reliability assessment, namely assessing the reliability of the microgrid in the energy storage margin calculation process, and adopting the expectation of insufficient power of an islandThe value EDNSI index describes the power supply reliability. According to the method, a scene reduction technology based on the probability matrix is utilized, representative scenes are reserved, scene data are simplified, excessive data are prevented from influencing the calculation time, the efficiency of determining the optimal discharge strategy of each scene is improved, the optimal discharge strategy of each scene is determined, the later evaluation data are reduced by determining the optimal discharge strategy of each scene, and the evaluation efficiency is improved.
Description
Technical Field
The invention relates to the technical field of micro-grids, in particular to a method for detecting energy storage margin of an independent micro-grid.
Background
The micro-grid is a novel network structure formed by a micro-power supply, energy storage equipment, a load and a control device, can fully promote the large-scale access of a distributed power supply and renewable energy, realizes the high-reliability supply of various energy forms of the load, and is an important form for realizing an active power distribution network and a smart grid. The micro-grid usually comprises a certain proportion of wind power generation and photovoltaic power generation, and has volatility and intermittency because the output is influenced by natural resources of a place where the micro-power source is arranged. Therefore, the micro-grid is usually configured with energy storage with a certain capacity, so that instantaneous balance of internal power is realized, and the power quality, the power supply reliability and the system stability are improved.
Through retrieval, a patent with an authorization publication number of CN105576699B discloses an independent microgrid energy storage margin detection method, and a random model of wind power, photovoltaic output and load is established based on Latin hypercube sampling scene generation and a probability distance-based scene reduction technology; establishing a micro-grid energy storage margin detection model based on the combination of a scene generation and reduction technology, a storage battery charge and discharge optimization technology and a intercept method by taking an island power shortage expected value and an island power surplus expected value as reliability evaluation indexes; the above patent can not reduce data during detection, and the detection efficiency is low.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method for detecting the energy storage margin of an independent microgrid, and mainly aims to solve the problems that the existing detection system cannot simplify data and is low in detection efficiency during detection.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme:
an independent microgrid energy storage margin detection method comprises the following steps:
s1: collecting information, collecting microDetermining the energy storage margin S of the micro-grid according to the power consumption data of the power gridDThe data of (a);
s2: reliability evaluation, namely the reliability evaluation needs to be carried out on the microgrid in the energy storage margin calculation process, and the power supply reliability can be described by adopting an expected value EDNSI index of island power shortage, wherein the formula is as follows:
s3: establishing a model, namely establishing a wind, light and load model with random characteristics;
s4: inputting system parameters, and inputting the system parameters into the system;
s5: generating a random scene, and generating a random scene R0 by using a scene generation and reduction technology;
s6: inputting energy storage equipment parameters, inputting the energy storage equipment parameters into the system, and recording when the energy storage equipment parameters are input;
s7: determining an optimal discharge strategy, optimizing the charge and discharge of the energy storage equipment, and then determining the optimal discharge strategy of each scene;
s8: and evaluating the reliability R1 of the system after the energy storage device is connected.
Based on the foregoing solution, in the step S1, when acquiring information, it is ensured that the acquisition is performed under the condition that the reliability of the system is maintained.
As a further scheme of the present invention, in S2, Ci is a load reduction amount in the ith sampling scene during the operation of the microgrid islanding, pi is a probability of the ith scene, and np is a total number of scenes.
Further, in the islanding mode, there is a possibility that wind and light are abandoned due to the surplus power in S2, and an islanding surplus power expected value EPEI is defined, which indicates the amount of wind and light abandoned due to the surplus power when the microgrid is switched to the islanding operating state, and is:
and Di is the wind and light abandoning amount in the ith scene during the operation of the microgrid island, and a microgrid reliability evaluation function taking EDNSI and EPEI as indexes in an island mode is established according to the selected reliability evaluation index:
based on the scheme, the S7 generates a random scene again after determining the optimal discharge strategy, and performs Latin hypercube sampling LHS on wind, light output and load distribution when generating the random scene to generate a microgrid operation scene simulating the island operation period.
In a still further aspect of the present invention, the S4 includes an accounting module, and the accounting module verifies the system parameters when inputting the system parameters, so as to prevent the input system parameters from deviating.
Further, the data processing method comprises the step of S6, wherein the recording module is connected with a storage module, records parameters of the input energy storage device and makes the parameters into a table.
On the basis of the above scheme, the transmission modules are included in S4 and S6, the transmission modules include a manual uploading mode and an automatic uploading mode, the automatic uploading mode includes a scanning port, and the scanning port is connected with a character identifier.
(III) advantageous effects
Compared with the prior art, the invention provides an independent microgrid energy storage margin detection method, which has the following beneficial effects:
1. according to the method, a scene reduction technology based on the probability matrix is utilized, representative scenes are reserved, scene data are simplified, the situation that the calculation time is influenced by excessive data is prevented, and the efficiency of determining the optimal discharge strategy of each scene is improved.
2. According to the method, the charging and discharging of the energy storage device are optimized, the optimal discharging strategy of each scene is determined, the later evaluation data are reduced by determining the optimal discharging strategy of each scene, and the evaluation efficiency is improved.
3. The comparison is carried out through the made table, the subsequent comparison and search are convenient to carry out, the data needing to be input is identified through the character identifier, and the data input efficiency is improved.
Drawings
Fig. 1 is a schematic flow chart of an independent microgrid energy storage margin detection method provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments 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, an independent microgrid energy storage margin detection method includes the following steps:
s1: collecting information, collecting power consumption data of the microgrid and determining the energy storage margin S of the microgridDThe data of (a);
s2: reliability evaluation, namely the reliability evaluation needs to be carried out on the microgrid in the energy storage margin calculation process, and the power supply reliability can be described by adopting an expected value EDNSI index of island power shortage, wherein the formula is as follows:
s3: establishing a model, namely establishing a wind, light and load model with random characteristics;
s4: inputting system parameters, and inputting the system parameters into the system;
s5: generating a random scene, and generating a random scene R0 by using a scene generation and reduction technology;
s6: inputting energy storage equipment parameters, inputting the energy storage equipment parameters into the system, and recording when the energy storage equipment parameters are input;
s7: determining an optimal discharge strategy, optimizing the charge and discharge of the energy storage equipment, then determining the optimal discharge strategy of each scene, reducing later evaluation data by determining the optimal discharge strategy of each scene, and improving the evaluation efficiency;
s8: and evaluating the reliability R1 of the system after the energy storage device is connected.
In the invention, when information is acquired in S1, the acquisition is ensured under the condition of keeping the system reliability unchanged, in S2, Ci is the load reduction amount in the ith sampling scene during the microgrid island operation, pi is the probability of the ith scene, np is the total number of scenes, and in S2, the possibility of wind and light abandonment due to the surplus power exists in the island mode, an island power surplus expected value EPEI is defined, which represents the wind and light abandonment amount generated due to the surplus power when the microgrid is switched to the island operation state, and the method comprises the following steps:
and Di is the wind and light abandoning amount in the ith scene during the operation of the microgrid island, and a microgrid reliability evaluation function taking EDNSI and EPEI as indexes in an island mode is established according to the selected reliability evaluation index:
specifically, the S7 regenerates the random scene in determining the optimal discharge strategy, performs latin hypercube sampling LHS on the wind, light output and load distribution when generating the random scene, generates the microgrid operation scene during the simulated island operation, retains the representative scene by using the scene reduction technology based on the probability matrix, simplifying scene data, preventing excessive data from influencing calculation time, improving the efficiency of determining the optimal discharge strategy of each scene, comprising an accounting module in S4, wherein the accounting module verifies the system parameters when inputting the system parameters, preventing the input system parameters from deviating, comprising a recording module in S6, the recording module is connected with a storage module, the recording module records the input energy storage equipment parameters, and the table is made, and the comparison is carried out through the made table, so that the subsequent comparison and search are convenient.
Example 2
Referring to fig. 1, an independent microgrid energy storage margin detection method includes the following steps:
s1: collecting information, collecting power consumption data of the microgrid and determining the energy storage margin S of the microgridDThe data of (a);
s2: reliability evaluation, namely the reliability evaluation needs to be carried out on the microgrid in the energy storage margin calculation process, and the power supply reliability can be described by adopting an expected value EDNSI index of island power shortage, wherein the formula is as follows:
s3: establishing a model, namely establishing a wind, light and load model with random characteristics;
s4: inputting system parameters, and inputting the system parameters into the system;
s5: generating a random scene, and generating a random scene R0 by using a scene generation and reduction technology;
s6: inputting energy storage equipment parameters, inputting the energy storage equipment parameters into the system, and recording when the energy storage equipment parameters are input;
s7: determining an optimal discharge strategy, optimizing the charge and discharge of the energy storage equipment, then determining the optimal discharge strategy of each scene, reducing later evaluation data by determining the optimal discharge strategy of each scene, and improving the evaluation efficiency;
s8: and evaluating the reliability R1 of the system after the energy storage device is connected.
In the invention, when information is acquired in S1, the acquisition is ensured under the condition of keeping the system reliability unchanged, in S2, Ci is the load reduction amount in the ith sampling scene during the microgrid island operation, pi is the probability of the ith scene, np is the total number of scenes, and in S2, the possibility of wind and light abandonment due to the surplus power exists in the island mode, an island power surplus expected value EPEI is defined, which represents the wind and light abandonment amount generated due to the surplus power when the microgrid is switched to the island operation state, and the method comprises the following steps:
and Di is the wind and light abandoning amount in the ith scene during the operation of the microgrid island, and a microgrid reliability evaluation function taking EDNSI and EPEI as indexes in an island mode is established according to the selected reliability evaluation index:
it should be particularly noted that, S7 is to generate a random scene again after determining the optimal discharge strategy, latin hypercube sampling LHS is performed on wind, light output and load distribution when generating the random scene, a microgrid operation scene during the islanded operation period is generated, a representative scene is retained by using a scene reduction technology based on a probability matrix, scene data is simplified, excessive data is prevented from affecting the calculation time, and the efficiency of determining the optimal discharge strategy of each scene is improved, S4 includes an accounting module, which checks the system parameters when inputting the system parameters, so as to prevent the input system parameters from deviating, S6 includes a recording module, which is connected with a storage module, which records the input energy storage device parameters and makes a table, and compares the input energy storage device parameters with the made table, so as to facilitate subsequent comparison and search, S4 and S6 include transmission modules, the transmission module comprises a manual uploading mode and an automatic uploading mode, the automatic uploading mode comprises a scanning port, the scanning port is connected with a character recognizer, and the character recognizer recognizes data to be input, so that the data input efficiency is improved.
In the description herein, it is noted that relational terms such as first and second, and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An independent microgrid energy storage margin detection method is characterized by comprising the following steps:
s1: collecting information, collecting power consumption data of the microgrid and determining the energy storage margin S of the microgridDThe data of (a);
s2: reliability evaluation, namely the reliability evaluation needs to be carried out on the microgrid in the energy storage margin calculation process, and the power supply reliability can be described by adopting an expected value EDNSI index of island power shortage, wherein the formula is as follows:
s3: establishing a model, namely establishing a wind, light and load model with random characteristics;
s4: inputting system parameters, and inputting the system parameters into the system;
s5: generating a random scene, and generating a random scene R0 by using a scene generation and reduction technology;
s6: inputting energy storage equipment parameters, inputting the energy storage equipment parameters into the system, and recording when the energy storage equipment parameters are input;
s7: determining an optimal discharge strategy, optimizing the charge and discharge of the energy storage equipment, and then determining the optimal discharge strategy of each scene;
s8: and evaluating the reliability R1 of the system after the energy storage device is connected.
2. The method for detecting the energy storage margin of the independent microgrid according to claim 1, wherein in the step S1, when collecting the information, the collection is ensured under the condition of maintaining the reliability of the system.
3. The method for detecting the energy storage margin of the independent microgrid according to claim 1, characterized in that in S2, Ci is a load reduction amount in an ith sampling scene during microgrid islanding operation, pi is a probability of the ith scene, and np is a total number of scenes.
4. The method for detecting the energy storage margin of the independent microgrid of claim 1, wherein the possibility of wind curtailment due to excess power also exists in an island mode in S2, an island power excess expected value EPEI is defined, and the wind curtailment amount generated due to excess power when the microgrid is switched to an island operation state is represented as:
and Di is the wind and light abandoning amount in the ith scene during the operation of the microgrid island, and a microgrid reliability evaluation function taking EDNSI and EPEI as indexes in an island mode is established according to the selected reliability evaluation index:
5. the independent microgrid energy storage margin detection method of claim 1, wherein the S7 generates a random scene again after determining an optimal discharge strategy, and performs Latin hypercube sampling LHS on wind, light output and load distribution when generating the random scene to generate a microgrid operation scene simulating an island operation period.
6. The independent microgrid energy storage margin detection method of claim 1, wherein an accounting module is included in the S4, and the accounting module verifies the input system parameters when inputting the system parameters, so as to prevent the input system parameters from deviating.
7. The independent microgrid energy storage margin detection method of claim 1, wherein the S6 includes a recording module, the recording module is connected with a storage module, and the recording module records input energy storage device parameters and makes the parameters into a table.
8. The method for detecting the energy storage margin of the independent microgrid according to claim 1, wherein the transmission modules in S4 and S6 comprise a manual uploading mode and an automatic uploading mode, the automatic uploading mode comprises a scanning port, and the scanning port is connected with a character identifier.
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