Photovoltaic power distribution network source network load storage scheduling system

Abstract

The invention discloses a photovoltaic power distribution network source network load storage scheduling system, relates to the technical field of power distribution networks, and solves the technical problems that potential problems cannot be found in time, effective analysis on power supply abnormity is lacked, and the power distribution network optimization scheduling efficiency is reduced. The method can accurately judge whether the power supply works normally or abnormally, carries out power change monitoring on the normal working power supply by taking a time period as a unit, generates a change relation graph, and carries out comparative analysis on the change relation graph and historical data, so that potential risks of the normal working power supply can be found in advance; according to the method, the load difference value and the extra load power of the normal working power supply in different load use periods are comprehensively considered, through reasonable sorting and comparison, the redundancy capability of the normal power supply is fully utilized, the load is effectively balanced, it is guaranteed that the power distribution network can still supply power stably under the abnormal condition, and the reliability and adaptability of the whole photovoltaic power distribution network are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution networks, and in particular to a photovoltaic power distribution network source-grid-load-storage dispatching system. Background Art

[0002] With the continuous expansion of the scale and increasing complexity of photovoltaic distribution networks, the coordinated dispatch of sources, grids, loads and storage has become crucial. During the operation of photovoltaic distribution networks, the working status of power sources directly affects the stability and power supply quality of the entire distribution network.

[0003] According to the publication number CN116599157A, a distribution network control method and system based on source-grid-load-storage coordination is disclosed, wherein the method includes: taking the lowest daily operating cost of the distribution network system as the goal, comprehensively considering the operating cost of the generator set, the energy consumption cost of the energy storage system, the demand-side resource utilization cost, the flexible load coordination cost and the network loss cost during system operation, constructing a distribution network optimization scheduling model; constraining the distribution network optimization scheduling model; using a particle swarm algorithm to solve the constrained distribution network optimization scheduling model to obtain the optimal scheduling strategy of the distribution network system.

[0004] However, traditional distribution network management systems often have difficulty in performing detailed status monitoring and effective dispatching and adjustment of a large number of power sources in photovoltaic distribution networks. On the one hand, the judgment of the working status of the power source is not accurate enough, and potential abnormalities cannot be discovered in time; on the other hand, when faced with abnormal power sources or normal operation but potential risks, there is a lack of effective analysis and response strategies, making it difficult to achieve optimized dispatching of the distribution network and ensure the reliability and stability of power supply. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a photovoltaic distribution network source-grid-load-storage scheduling system, which solves the problems of failure to timely discover potential problems and lack of effective analysis of power supply anomalies, thereby reducing the optimization scheduling efficiency of the distribution network.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A photovoltaic distribution network source-grid-load-storage dispatching system, comprising:

[0007] A data acquisition unit, used for transmitting the acquired distribution network power supply working data to the source state analysis and identification unit;

[0008] A source state analysis and identification unit is used to identify the working state of the power supply of the distribution network according to the acquired working data, and generate a state analysis result, and the state analysis result includes a normal working result and an abnormal working result, and then transmit the normal working result to the normal state analysis unit, and transmit the abnormal working result to the abnormal state analysis unit;

[0009] A normal state analysis unit is used to analyze the obtained normal working results, periodically monitor the normal working power supply, and perform risk monitoring and judgment on the normal working power supply based on periodic changes, while generating monitoring results and transmitting the monitoring results to the information output unit;

[0010] The abnormal state analysis unit is used to analyze the abnormal working results obtained by analyzing the power supply of the abnormal working power supply and adjusting and analyzing it in combination with the power supply of the normal working power supply. At the same time, it comprehensively adjusts the different usage periods and generates the adjustment results, and then transmits the adjustment results to the information output unit.

[0011] As a further solution of the present invention, the specific manner in which the source state analysis and identification unit generates the state analysis result is:

[0012] All distribution network power supplies are obtained and recorded as i, where i=1, 2, ..., j, where j represents the number of distribution network power supplies, and the power supply power of distribution network power supply i is obtained and recorded as Pi, and then the obtained power supply power Pi is compared with the threshold value Py to generate a state analysis result.

[0013] As a further solution of the present invention, the specific manner in which the source state analysis and identification unit compares the acquired power Pi with the threshold value Py is:

[0014] If the power supply power Pi is greater than the threshold value Py, an abnormal working result is generated, and the corresponding distribution network power supply is marked as an abnormal working power supply. If the power supply power Pi is less than the threshold value Py, a normal working result is generated, and the corresponding distribution network power supply is marked as a normal working power supply.

[0015] As a further solution of the present invention, the specific manner in which the normal state analysis unit analyzes the normal working result is:

[0016] The normal working power corresponding to the normal working result is obtained and recorded as a, where a=1, 2, ..., n. Then, with time t as a period, the change of the power Pa corresponding to the normal working power a within the time period t is obtained, and a change relationship diagram is generated according to the change of the power Pa. Then, historical data similar to the change relationship diagram is obtained and recorded as similar records. At the same time, similar records are labeled and recorded as o, where o=1, 2, ..., p, where p represents the number of similar records.

[0017] The obtained similar records o are classified according to whether there are potential risks. If there are potential risks in the similar records o, the similar records are recorded as risk records. If there are no potential risks in the similar records, the similar records are recorded as normal records. At the same time, the number of risk records is obtained, and the proportion of the number of risk records is calculated and recorded as the risk proportion Z. Then the risk proportion Z is compared with the preset value Zy to generate the monitoring results.

[0018] As a further solution of the present invention, the specific manner in which the normal state analysis unit compares the risk proportion Z with the preset value Zy is:

[0019] If the risk ratio Z is greater than the preset value Zy, it means that there is a risk in the corresponding change situation within the time period t, and a warning message is generated. Conversely, if the risk ratio Z is less than the preset value Zy, it means that there is no risk in the corresponding change situation within the time period t, and normal information is generated. At the same time, the generated risk information and normal information are transmitted to the information output unit.

[0020] As a further solution of the present invention, the specific manner in which the abnormal state analysis unit analyzes the abnormal working result is:

[0021] The abnormal working power supply corresponding to the abnormal working result is obtained and recorded as b, and b=1, 2, ..., m, where m represents the number of abnormal working power supplies. At the same time, the power supply power corresponding to the abnormal working power supply b is obtained and recorded as Pb, and the load difference of the abnormal working power supply b is calculated and recorded as Pbc. Then all normal working power supplies a are obtained, and the load usage period corresponding to the normal working power supply a is obtained. The normal working power supply a is screened according to the load usage period to obtain the power supply to be analyzed.

[0022] As a further solution of the present invention, the specific method of the abnormal state analysis unit to screen and obtain the power supply to be analyzed is:

[0023] The load usage period corresponding to the abnormal working power supply is obtained, and the normal working power supply that is misaligned with the load usage period of the abnormal working power supply is obtained and recorded as the power supply to be analyzed, and recorded as k, and k = 1, 2, ..., h, where h represents the number of power supplies to be analyzed, and then the additional load power corresponding to the power supply to be analyzed k is obtained and recorded as P1 k, and the additional load power P1 k is sorted from large to small.

[0024] As a further solution of the present invention, the specific manner in which the abnormal state analysis unit generates the storage adjustment result is:

[0025] Obtain all abnormal working power supplies b and the corresponding load difference values ​​Pbc, and sort them from large to small according to the load difference values ​​Pbc. Then select the abnormal working power supply corresponding to the largest load difference value Pbc as the analysis target, and obtain the power supply to be analyzed corresponding to the largest additional load power P1 k as the target object, and determine the size of the load difference value Pbc of the analysis target and the additional load power P1 k of the target object;

[0026] If the load difference Pbc of the analysis target is greater than the additional load power P1 k of the target object, a multivariate adjustment signal is generated; otherwise, if the load difference Pbc of the analysis target is less than the additional load power P1 k of the target object, a unit adjustment signal is generated, and the analysis target and the target object are adjusted and an adjustment result is generated;

[0027] For the generated multivariate adjustment signal, multiple power supplies to be analyzed are obtained, and the sum of the additional load powers that meet the load difference Pbc is calculated. At the same time, the analysis target is adjusted based on the selected multiple power supplies to be analyzed as the standard, and the adjustment results are generated.

[0028] The present invention provides a photovoltaic distribution network source-grid-load-storage dispatching system. Compared with the prior art, it has the following beneficial effects:

[0029] By comparing the power of the power supply of the distribution network with a threshold value, the present invention can accurately determine whether the power supply is working normally or abnormally, monitor the power change of the normal working power supply in units of time periods, generate a change relationship diagram, and compare and analyze it with historical data. By calculating the risk ratio and comparing it with the preset value, the potential risks of the normal working power supply can be discovered in advance. When the abnormal working power supply appears, its load difference and the additional load power of the normal working power supply in different load usage periods are comprehensively considered. Through reasonable sorting and comparison, the redundant capacity of the normal power supply is fully utilized, the load is effectively balanced, and the distribution network is guaranteed to still be able to supply power stably under abnormal circumstances, thereby improving the reliability and adaptability of the entire photovoltaic distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a block diagram of the system principle of the present invention;

[0031] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] For example, see Figure 1 and Figure 2 The present application provides a photovoltaic distribution network source-grid-load-storage dispatching system, including a data acquisition unit, a source state analysis and identification unit, a normal state analysis unit, an abnormal state analysis unit and an information output unit, and at the same time, in combination with the attached Figure 1 It can be known that the above functional units are electrically connected in a unidirectional manner.

[0034] The data acquisition unit is used to collect the working data of the power supply of the distribution network and transmit the collected working data to the source state analysis and identification unit. The working data obtained here includes the power supply power.

[0035] A source status analysis and identification unit is used to identify the working status of the power supply of the distribution network according to the acquired working data, and generate a status analysis result, and the status analysis result includes a normal working result and an abnormal working result. The normal working result is then transmitted to the normal status analysis unit, and the abnormal working result is transmitted to the abnormal status analysis unit.

[0036] All the power supplies of the distribution network are obtained and recorded as i, and i = 1, 2, ..., j, where j represents the number of power supplies of the distribution network, and the power supply power of the distribution network power supply i is obtained and recorded as Pi, and the power supply power obtained here is the real-time power, and then the obtained power supply power Pi is compared with the threshold value Py, and the specific value of the threshold value is set by the operator, which is generally the warning value of the distribution network power supply; for example, there are 5 power supplies (i.e. j = 5) in the distribution network of a small community, which are 3 photovoltaic power supplies (numbered i = 1, 2, 3) and 2 small wind power generation power supplies (numbered i = 4, 5). Assume that the operator sets the threshold value Py = 20kW according to the power demand of the community and the distribution network equipment.

[0037] If the power supply power Pi is greater than the threshold value Py, it means that there is an abnormality in the corresponding distribution network power supply, and an abnormal working result is generated, and the corresponding distribution network power supply is marked as an abnormal working power supply. If the power supply power Pi is less than the threshold value Py, it means that there is no abnormality in the corresponding distribution network power supply temporarily, and a normal working result is generated, and the corresponding distribution network power supply is marked as a normal working power supply.

[0038] In a specific example, for photovoltaic power source 1 (i=1), its real-time power P1=25kW is obtained through the power monitoring device. Since P1(25kW)>Py(20kW), this indicates that there is an abnormality in photovoltaic power source 1. The system generates an abnormal working result and marks the photovoltaic power source as an abnormal working power source. This may be due to local damage to the photovoltaic panel, resulting in an abnormal increase in power, which requires further inspection.

[0039] For the photovoltaic power source 2 (i = 2), the obtained real-time power P2 = 15 kW. Since P2 (15 kW) < Py (20 kW), it indicates that there is no abnormality in the photovoltaic power source 2 for the time being. The system generates a normal working result and marks it as a normally working power source at the same time.

[0040] Similarly, for the wind power generation power source 4 (i = 4), if its real-time power P4 = 18 kW (< Py), it is determined to be in a normal working state; if the power suddenly increases beyond 20 kW at a certain moment, it is determined to be abnormal. And so on, all distribution network power sources are monitored and judged in real time.

[0041] The normal state analysis unit is used to analyze the obtained normal working results. By periodically monitoring the normally working power sources and judging the risk of the normally working power sources based on the periodic changes, the monitoring results are generated at the same time.

[0042] Obtain the normally working power sources corresponding to the normal working results and denote them as a, and a = 1, 2,..., n. Then, taking time t as the period, obtain the change situation of the power Pa of the normally working power source a within the time period t, and generate a change relationship diagram according to the change situation of the power Pa. Then, obtain the historical data similar to the change relationship diagram and denote it as the similar record, and at the same time label the similar record as o, and o = 1, 2,..., p, where p represents the number label of the similar records;

[0043] Classify the obtained similar records o according to whether there are potential risks. If the similar record o has potential risks, the similar record is denoted as a risk record. If the similar record does not have potential risks, the similar record is denoted as a normal record. And here, whether there is a risk is judged based on the corresponding data changes. For example, if the power fluctuation amplitude is too large, it may cause subsequent power supply instability, or there is an abnormal power mutation trend, etc., then it is marked as a risk record. At the same time, obtain the number of risk records, and calculate the proportion of the number of risk records and denote it as the risk proportion Z. Then, compare the risk proportion Z with the preset value Zy to generate the monitoring result, and the specific value of the preset value Zy is set by the operator;

[0044] For example, in a distribution network system of an industrial park, there are 10 normally working power sources (n = 10). Set the time period t to 1 hour. Within this 1 hour, obtain the power change situation of each normally working power source and generate a change relationship diagram. Assume that through historical data comparison, 20 similar records (p = 20) are found. After analysis, it is found that 8 of these records have potential risks. For example, under a similar power change trend, there has been an abnormal voltage fluctuation situation. Then the number of risk records is 8, and the risk proportion Z = 8 ÷ 20 = 0.4. The operator sets the preset value Zy = 0.3 according to the equipment situation and power supply requirements of the park.

[0045] If the risk ratio Z is greater than the preset value Zy, it means that there is a risk in the corresponding change situation within the time period t, and a warning message is generated. Conversely, if the risk ratio Z is less than the preset value Zy, it means that there is no risk in the corresponding change situation within the time period t, and normal information is generated. At the same time, the generated risk information and normal information are transmitted to the information output unit.

[0046] An information output unit is used to display the acquired risk information and normal information to corresponding operators.

[0047] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in the following aspects:

[0048] The abnormal state analysis unit is used to analyze the abnormal working results obtained by analyzing the power supply of the abnormal working power supply and adjusting the power supply of the normal working power supply. At the same time, different usage periods are comprehensively adjusted and the adjustment results are generated.

[0049] The abnormal working power supply corresponding to the abnormal working result is obtained and recorded as b, and b=1, 2, ..., m, where m represents the number of abnormal working power supplies. At the same time, the power supply power corresponding to the abnormal working power supply b is obtained and recorded as Pb, and the power supply power Pb obtained here represents the real-time load power, and the load difference of the abnormal working power supply b is calculated and recorded as Pbc, and the load difference is obtained by subtracting the threshold from the power supply power. Then all normal working power supplies a are obtained, and the load usage period corresponding to the normal working power supply a is obtained, and the normal working power supply a is screened according to the load usage period. The specific screening method is as follows:

[0050] Obtain the load usage period corresponding to the abnormal working power supply, and obtain the normal working power supply that is misaligned with the load usage period of the abnormal working power supply and record it as the power supply to be analyzed. The misalignment of the time period here means that the load peak periods corresponding to the two have no intersection. For example, the load peak period corresponding to the abnormal working power supply is 09:00-11:00, and the load peak period corresponding to one of the normal working power supplies is 14:00-15:00. Further classify the normal working power supply as the power supply to be analyzed, and record it as k, and k=1, 2, ..., h, where h represents the number of power supplies to be analyzed. Then obtain the additional load power corresponding to the power supply k to be analyzed and record it as P1 k. At the same time, sort the additional load power P1 k from large to small;

[0051] Obtain all abnormal working power supplies b and the corresponding load difference values ​​Pbc, and sort them from large to small according to the load difference values ​​Pbc, then select the abnormal working power supply corresponding to the maximum load difference value Pbc as the analysis target, and at the same time obtain the power supply to be analyzed corresponding to the maximum additional load power P1 k as the target object, and judge the size of the load difference value Pbc of the analysis target and the additional load power P1 k of the target object. If the load difference value Pbc of the analysis target is greater than the additional load power P1 k of the target object, a multivariate adjustment signal is generated. On the contrary, if the load difference value Pbc of the analysis target is less than the additional load power P1 k of the target object, a unit adjustment signal is generated, and the analysis target and the target object are stored and adjusted at the same time to generate a storage adjustment result;

[0052] For the generated multivariate adjustment signal, multiple power supplies to be analyzed are obtained, and the sum of the additional load powers that meet the load difference Pbc is calculated. At the same time, the analysis target is adjusted based on the selected multiple power supplies to be analyzed as the standard, and the adjustment results are generated. Specifically, for example, the number of multiple power supplies to be analyzed obtained here is two, and the two power supplies to be analyzed contain the target object, and then the additional load powers P1 k are selected and analyzed in descending order.

[0053] The generated storage adjustment result is further transmitted to the information output unit.

[0054] An information output unit is used to display the acquired storage and adjustment results to the corresponding operator.

[0055] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the implementation processes of embodiment 1 and embodiment 2 for implementation.

[0056] Some of the data in the above formulas are numerically calculated by removing their dimensions. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0057] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A photovoltaic distribution network source-grid-load-storage dispatching system, characterized in that: include: A data acquisition unit, used for transmitting the acquired distribution network power supply working data to the source state analysis and identification unit; A source state analysis and identification unit is used to identify the working state of the power supply of the distribution network according to the acquired working data, and generate a state analysis result, and the state analysis result includes a normal working result and an abnormal working result, and then transmit the normal working result to the normal state analysis unit, and transmit the abnormal working result to the abnormal state analysis unit; A normal state analysis unit is used to analyze the obtained normal working results, periodically monitor the normal working power supply, and perform risk monitoring and judgment on the normal working power supply based on periodic changes, while generating monitoring results and transmitting the monitoring results to the information output unit; The abnormal state analysis unit is used to analyze the abnormal working results obtained by analyzing the power supply of the abnormal working power supply and adjusting and analyzing it in combination with the power supply of the normal working power supply. At the same time, it comprehensively adjusts the different usage periods and generates the adjustment results, and then transmits the adjustment results to the information output unit.

2. A photovoltaic distribution network source-grid-load-storage dispatching system according to claim 1, characterized in that: The specific method of generating the state analysis result by the source state analysis and identification unit is as follows: All distribution network power supplies are obtained and recorded as i, where i=1, 2, ..., j, where j represents the number of distribution network power supplies, and the power supply power of distribution network power supply i is obtained and recorded as Pi, and then the obtained power supply power Pi is compared with the threshold value Py to generate a state analysis result.

3. A photovoltaic distribution network source-grid-load-storage dispatching system according to claim 2, characterized in that: The specific manner in which the source state analysis and identification unit compares the acquired power Pi with the threshold value Py is: If the power supply power Pi is greater than the threshold value Py, an abnormal working result is generated, and the corresponding distribution network power supply is marked as an abnormal working power supply. If the power supply power Pi is less than the threshold value Py, a normal working result is generated, and the corresponding distribution network power supply is marked as a normal working power supply.

4. A photovoltaic distribution network source-grid-load-storage dispatching system according to claim 1, characterized in that: The specific method of analyzing the normal working result by the normal status analysis unit is as follows: The normal working power corresponding to the normal working result is obtained and recorded as a, where a=1, 2, ..., n. Then, with time t as a period, the change of the power Pa corresponding to the normal working power a within the time period t is obtained, and a change relationship diagram is generated according to the change of the power Pa. Then, historical data similar to the change relationship diagram is obtained and recorded as similar records. At the same time, similar records are labeled and recorded as o, where o=1, 2, ..., p, where p represents the number of similar records. The obtained similar records o are classified according to whether there are potential risks. If there are potential risks in the similar records o, the similar records are recorded as risk records. If there are no potential risks in the similar records, the similar records are recorded as normal records. At the same time, the number of risk records is obtained, and the proportion of the number of risk records is calculated and recorded as the risk proportion Z. Then the risk proportion Z is compared with the preset value Zy to generate the monitoring results.

5. A photovoltaic distribution network source-grid-load-storage dispatching system according to claim 4, characterized in that: The specific manner in which the normal state analysis unit compares the risk proportion Z with the preset value Zy is as follows: If the risk ratio Z is greater than the preset value Zy, it means that there is a risk in the corresponding change situation within the time period t, and a warning message is generated. Conversely, if the risk ratio Z is less than the preset value Zy, it means that there is no risk in the corresponding change situation within the time period t, and normal information is generated. At the same time, the generated risk information and normal information are transmitted to the information output unit.

6. A photovoltaic distribution network source-grid-load-storage dispatching system according to claim 1, characterized in that: The specific method for the abnormal state analysis unit to analyze the abnormal working result is: The abnormal working power supply corresponding to the abnormal working result is obtained and recorded as b, and b=1, 2, ..., m, where m represents the number of abnormal working power supplies. At the same time, the power supply power corresponding to the abnormal working power supply b is obtained and recorded as Pb, and the load difference of the abnormal working power supply b is calculated and recorded as Pbc. Then all normal working power supplies a are obtained, and the load usage period corresponding to the normal working power supply a is obtained. The normal working power supply a is screened according to the load usage period to obtain the power supply to be analyzed.

7. A photovoltaic distribution network source-grid-load-storage dispatching system according to claim 6, characterized in that: The specific method of the abnormal state analysis unit to screen the power supply to be analyzed is: The load usage period corresponding to the abnormal working power supply is obtained, and the normal working power supply that is misaligned with the load usage period of the abnormal working power supply is obtained and recorded as the power supply to be analyzed, and recorded as k, and k = 1, 2, ..., h, where h represents the number of power supplies to be analyzed, and then the additional load power corresponding to the power supply to be analyzed k is obtained and recorded as P1 k, and the additional load power P1 k is sorted from large to small.

8. A photovoltaic distribution network source-grid-load-storage dispatching system according to claim 1, characterized in that: The specific method of generating the storage adjustment result by the abnormal state analysis unit is as follows: Obtain all abnormal working power supplies b and the corresponding load difference values ​​Pbc, and sort them from large to small according to the load difference values ​​Pbc. Then select the abnormal working power supply corresponding to the largest load difference value Pbc as the analysis target, and obtain the power supply to be analyzed corresponding to the largest additional load power P1 k as the target object, and determine the size of the load difference value Pbc of the analysis target and the additional load power P1 k of the target object; If the load difference Pbc of the analysis target is greater than the additional load power P1 k of the target object, a multivariate adjustment signal is generated; otherwise, if the load difference Pbc of the analysis target is less than the additional load power P1 k of the target object, a unit adjustment signal is generated, and the analysis target and the target object are adjusted and an adjustment result is generated; For the generated multivariate adjustment signal, multiple power supplies to be analyzed are obtained, and the sum of the additional load powers that meet the load difference Pbc is calculated. At the same time, the analysis target is adjusted based on the selected multiple power supplies to be analyzed as the standard, and the adjustment results are generated.

Images