An operation supervision system for integrated photovoltaic storage and charging equipment based on data analysis

Abstract

The present invention discloses a system for supervising operation of integrated photovoltaic storage and charging equipment based on data analysis, relates to the technical field of equipment operation supervision, and solves the technical problem in the prior art that it is impossible to perform equipment operation evaluation and execution prediction analysis on integrated photovoltaic storage and charging equipment. Specifically, an energy storage decision analysis unit performs energy storage decision analysis on the integrated photovoltaic storage and charging equipment, marks the integrated photovoltaic storage and charging equipment as a monitoring object, and a discharge decision analysis unit performs discharge decision analysis on the monitoring object. After the energy storage decision analysis unit and the discharge decision analysis unit generate a normal energy storage decision signal and a normal discharge decision signal respectively, the equipment operation evaluation unit evaluates the power operation execution equipment of the monitoring object, and the execution prediction analysis unit analyzes and monitors the execution prediction of the monitoring object to determine whether the execution prediction of the operation decision of the monitoring object is reasonable.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment operation supervision, and specifically to an integrated photovoltaic storage and charging equipment operation supervision system based on data analysis. Background Art

[0002] Photovoltaic power generation is a technology that uses the photovoltaic effect of semiconductor interfaces to directly convert light energy into electrical energy. It is mainly composed of three parts: solar panels (modules), controllers and inverters, and the main components are made of electronic components. Solar cells are packaged and protected after being connected in series to form large-area solar cell modules, which are then combined with power controllers and other components to form photovoltaic power generation devices.

[0003] However, in the prior art, when the photovoltaic storage and charging integrated equipment is in operation, it is not possible to make decisions and analyze energy storage and discharge, so that the operating efficiency of the photovoltaic storage and charging equipment cannot be guaranteed. At the same time, it is not possible to evaluate the operation of the photovoltaic storage and charging integrated equipment and perform predictive analysis, resulting in a decline in the operating quality of the equipment and an inability to ensure the stability of power supply.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a photovoltaic storage and charging integrated equipment operation supervision system based on data analysis.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A data analysis-based photovoltaic storage and charging integrated equipment operation supervision system includes an operation supervision center, the operation supervision center is communicatively connected to an energy storage decision analysis unit, a discharge decision analysis unit, an equipment operation evaluation unit, and an execution prediction analysis unit;

[0008] The energy storage decision analysis unit performs energy storage decision analysis on the integrated photovoltaic storage and charging equipment and marks the integrated photovoltaic storage and charging equipment as a monitoring object. The discharge decision analysis unit performs discharge decision analysis on the monitoring object. After the energy storage decision analysis unit and the discharge decision analysis unit generate normal energy storage decision signals and normal discharge decision signals respectively, the equipment operation evaluation unit evaluates the power operation execution equipment of the monitoring object. The execution prediction analysis unit analyzes and monitors the execution prediction of the monitoring object to determine whether the execution prediction of the operation decision of the monitoring object is reasonable.

[0009] As a preferred embodiment of the present invention, the operation process of the energy storage decision analysis unit is as follows:

[0010] Obtain the duration of the energy storage cost of the monitored object higher than the preset cost value and the proportion of the power supply duration when the energy storage cost of the monitored object is continuously supplied with power at the maximum energy storage release rate during the energy storage period of the monitored object. At the same time, obtain the growth span ratio of the energy storage cost increase rate and the power grid supply cost increase rate of the monitored object corresponding to the supply area during the energy storage period of the monitored object, and analyze them;

[0011] If the duration of the energy storage cost of the monitored object exceeding the preset cost value and the power supply duration ratio when the power supply is continuously supplied at the maximum energy storage release speed exceed the duration ratio threshold, or the energy storage cost increase speed and the power supply cost increase speed of the corresponding supply area of ​​the monitored object exceed the speed increase span ratio at the same time, then an energy storage decision abnormality signal is generated and sent to the operation supervision center;

[0012] If the duration during which the energy storage cost of the monitored object is higher than the preset cost value and the proportion of the power supply duration do not exceed the duration proportion threshold when continuous power supply is provided at the maximum energy storage release rate, and the energy storage cost increase rate and the power grid supply cost increase rate of the monitored object in the supply area do not exceed the simultaneous speed growth span ratio, then a normal energy storage decision signal is generated and sent to the operation supervision center.

[0013] As a preferred embodiment of the present invention, the operation process of the discharge decision analysis unit is as follows:

[0014] The amount of unused to-be-recovered power supplied by the monitored object after the end of the current power consumption cycle in the power supply coverage area during the discharge period of the monitored object is obtained, and at the same time, the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area is obtained, and the amount of unused to-be-recovered power supplied by the monitored object after the end of the current power consumption cycle in the power supply coverage area and the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area are compared with the to-be-recovered power threshold and the speed numerical synchronization time ratio threshold, respectively.

[0015] As a preferred implementation mode of the present invention, if the unused power to be recovered of the monitored object after the end of the current power consumption cycle in the power supply coverage area exceeds the threshold of the power to be recovered, or the proportion of the numerical synchronization time of the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area exceeds the threshold of the proportion of the speed numerical synchronization time, then it is determined that the discharge decision analysis of the monitored object is abnormal, a discharge decision abnormality signal is generated and the discharge decision abnormality signal is sent to the operation supervision center. After receiving the discharge decision abnormality signal, the operation supervision center rectifies the current discharge decision and re-evaluates the demand when executing the discharge decision in the next adjacent cycle;

[0016] If the unused power supply of the monitored object after the end of the current power consumption cycle in the power supply coverage area does not exceed the threshold of the power supply to be recycled, and the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area does not exceed the speed numerical synchronization time proportion threshold, then it is determined that the discharge decision analysis of the monitored object is normal, and a normal discharge decision signal is generated and sent to the operation supervision center.

[0017] As a preferred embodiment of the present invention, the operation process of the equipment operation evaluation unit is as follows:

[0018] The numerical deviation between the line transmission temperature rise rate during energy storage and the line transmission temperature rise rate during discharge during the operation stage of the monitored object is obtained, and the numerical deviation between the line transmission temperature rise rate during energy storage and the line transmission temperature rise rate during discharge during the operation stage of the monitored object is marked as WSC; the numerical difference between the line transmission power loss peak value floating span during energy storage and the line transmission power loss peak value floating span during discharge during the operation stage of the monitored object is obtained, and the numerical difference between the line transmission power loss peak value floating span during energy storage and the line transmission power loss peak value floating span during discharge during the operation stage of the monitored object is marked as DSC; the sustainable supply time of the monitored object under the demand power state in the power supply coverage area and the supply interruption buffer time of the monitored object under the non-demand power state are obtained, and the supply and disconnection time ratio of the monitored object is obtained according to the ratio calculation, and the label SCB is set.

[0019] As a preferred embodiment of the present invention, by formula The equipment operation evaluation coefficient B of the monitored object is obtained, where a1, a2 and a3 are all preset proportional coefficients, and a1>a2>a3>1, and α is an error correction factor, which is 1.21;

[0020] Compare the equipment operation evaluation coefficient B of the monitored object with the equipment operation evaluation coefficient threshold:

[0021] If the equipment operation evaluation coefficient B of the monitored object exceeds the equipment operation evaluation coefficient threshold, the equipment operation evaluation of the monitored object is judged to be unqualified, and an equipment evaluation abnormality signal is generated and sent to the operation supervision center. After receiving the equipment evaluation abnormality signal, the operation supervision center will perform equipment maintenance on the current monitored object; if the equipment operation evaluation coefficient B of the monitored object does not exceed the equipment operation evaluation coefficient threshold, the equipment operation evaluation of the monitored object is judged to be qualified, and a normal equipment evaluation signal is generated and sent to the operation supervision center.

[0022] As a preferred embodiment of the present invention, the operation process of executing the prediction analysis unit is as follows:

[0023] The instantaneous increase span of the power supply scheduling amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase are obtained, and the instantaneous increase span of the power supply scheduling amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase are compared with the instantaneous increase span threshold and the peak difference threshold respectively:

[0024] If the instantaneous increase span of the power supply dispatching amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object exceeds the instantaneous increase span threshold, or the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase exceeds the peak difference threshold, then it is determined that the execution prediction analysis of the monitored object is inefficient, and a prediction analysis inefficiency signal is generated and sent to the operation supervision center;

[0025] If the instantaneous increase span of the power supply scheduling amount in the power supply coverage area during the energy storage stage during the operating period of the monitored object does not exceed the instantaneous increase span threshold, and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object during the discharge stage does not exceed the peak difference threshold, then the execution prediction analysis of the monitored object is determined to be efficient, a prediction analysis efficiency signal is generated and the prediction analysis efficiency signal is sent to the operation supervision center.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. In the present invention, an energy storage decision analysis is performed on the integrated photovoltaic storage and charging equipment to determine whether the energy storage decision of the current equipment is normal, thereby ensuring that the energy storage decision efficiency of the equipment is qualified, ensuring the operating efficiency of the equipment, improving the power supply efficiency and accurately controlling the storage cost of the equipment; a discharge decision analysis is performed on the monitored object to determine whether the discharge execution efficiency of the monitored object meets the needs of the current power supply area, and the discharge decision is detected, thereby improving the efficiency of the discharge execution of the monitored object and avoiding the discharge execution from reducing the operating efficiency of the monitored object.

[0028] 2. In the present invention, the power operation execution equipment of the monitored object is evaluated to determine whether the operating efficiency of the monitored object equipment itself meets the actual power supply demand, so as to avoid the situation where the equipment operation cannot meet the demand when the power decision is executed qualified, resulting in reduced operating efficiency of the power equipment and failure to meet the power demand in the power supply coverage area; the execution prediction of the monitored object is analyzed and monitored to determine whether the execution prediction of the operating decision of the monitored object is reasonable, so as to ensure the operating efficiency of the monitored object and avoid abnormal operating decisions that lead to reduced operating efficiency of the monitored object, increase unnecessary costs and cause unstable supply in the power supply area. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0030] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0032] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0033] See also Figure 1 As shown, a data analysis-based photovoltaic storage and charging integrated equipment operation supervision system includes an operation supervision center, which is communicatively connected to an energy storage decision analysis unit, a discharge decision analysis unit, an equipment operation evaluation unit, and an execution prediction analysis unit;

[0034] The operation supervision center generates an energy storage decision analysis signal and sends it to the energy storage decision analysis unit. After receiving the energy storage decision analysis signal, the energy storage decision analysis unit performs energy storage decision analysis on the photovoltaic storage and charging integrated equipment to determine whether the energy storage decision of the current equipment is normal, thereby ensuring that the energy storage decision efficiency of the equipment is qualified, ensuring the operation efficiency of the equipment, improving the power supply efficiency and accurately controlling the storage cost of the equipment;

[0035] The photovoltaic storage and charging integrated device is marked as a monitoring object, and the label i is set, where i is a natural number greater than 1. The duration of the monitoring object's energy storage cost exceeding the preset cost value and the proportion of the power supply duration when the energy storage cost of the monitoring object is continuously supplied with power at the maximum energy storage release rate during the energy storage period of the monitoring object are obtained. At the same time, the energy storage cost increase rate and the supply cost increase rate of the power grid in the supply area corresponding to the monitoring object are obtained during the energy storage period of the monitoring object, and the growth span ratio at the same time is analyzed.

[0036] If the duration of the energy storage cost of the monitored object being higher than the preset cost value and the power supply duration ratio when the maximum energy storage release speed is used for continuous power supply exceed the duration ratio threshold, or the energy storage cost increase rate and the power grid supply cost increase rate of the monitored object corresponding to the supply area exceed the same time speed increase span ratio, then the current energy storage decision analysis is judged to be abnormal, an energy storage decision abnormality signal is generated and sent to the operation supervision center. After receiving the energy storage decision abnormality signal, the operation supervision center changes the current energy storage decision and re-controls the energy storage decision analysis;

[0037] If the duration of the energy storage cost of the monitored object being higher than the preset cost value and the power supply duration ratio do not exceed the duration ratio threshold when the power supply is continuously supplied at the maximum energy storage release speed, and the energy storage cost increase rate and the power grid supply cost increase rate of the monitored object corresponding to the supply area do not exceed the speed growth span ratio at the same time, then it is determined that the current energy storage decision analysis is normal, and a normal energy storage decision signal is generated and sent to the operation supervision center;

[0038] The operation supervision center generates a discharge decision analysis signal and sends the discharge decision analysis signal to the discharge decision analysis unit. After receiving the discharge decision analysis signal, the discharge decision analysis unit performs a discharge decision analysis on the monitored object, determines whether the discharge execution efficiency of the monitored object meets the needs of the current power supply area, and detects the discharge decision, thereby improving the efficiency of the discharge execution of the monitored object and avoiding the discharge execution from reducing the operation efficiency of the monitored object;

[0039] The amount of unused to-be-recovered power supplied by the monitored object after the end of the current power consumption cycle in the power supply coverage area during the discharge period of the monitored object is obtained, and at the same time, the numerical synchronization time ratio of the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area is obtained, and the unused to-be-recovered power supplied by the monitored object after the end of the current power consumption cycle in the power supply coverage area and the numerical synchronization time ratio of the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area are compared with the to-be-recovered power threshold and the speed numerical synchronization time ratio threshold, respectively: wherein, numerical synchronization is represented by the numerical deviation of the two types of speeds not exceeding the set deviation value;

[0040] If the unused power to be recovered of the monitored object after the end of the current power consumption cycle in the power supply coverage area exceeds the threshold of the power to be recovered, or the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area exceeds the threshold of the proportion of the speed numerical synchronization time, then the discharge decision analysis of the monitored object is judged to be abnormal, and a discharge decision abnormality signal is generated and sent to the operation supervision center. After receiving the discharge decision abnormality signal, the operation supervision center rectifies the current discharge decision and re-evaluates the demand when executing the discharge decision in the next adjacent cycle;

[0041] If the power supply of the monitored object is not used and the amount of power to be recovered does not exceed the threshold of the amount of power to be recovered after the end of the current power consumption cycle in the power supply coverage area, and the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area does not exceed the proportion threshold of the speed numerical synchronization time, then it is determined that the discharge decision analysis of the monitored object is normal, and a normal discharge decision signal is generated and sent to the operation supervision center;

[0042] After the energy storage decision analysis unit and the discharge decision analysis unit generate the energy storage decision normal signal and the discharge decision normal signal respectively, they generate the equipment operation evaluation signal and send the equipment operation evaluation signal to the equipment operation evaluation unit. After receiving the equipment operation evaluation signal, the equipment operation evaluation unit evaluates the power operation execution equipment of the monitored object to determine whether the operation efficiency of the monitored object equipment itself meets the actual power supply demand, so as to avoid the equipment operation failing to meet the demand when the power decision execution is qualified, resulting in the reduction of the power equipment operation efficiency and the failure to meet the power demand of the power supply coverage area;

[0043] The numerical deviation value of the line transmission temperature rise rate during energy storage and the line transmission temperature rise rate during discharge during the operation stage of the monitored object is obtained, and the numerical deviation value of the line transmission temperature rise rate during energy storage and the line transmission temperature rise rate during discharge during the operation stage of the monitored object is marked as WSC; the numerical difference between the line transmission power loss peak value floating span during energy storage and the line transmission power loss peak value floating span during discharge during the operation stage of the monitored object is obtained, and the numerical difference between the line transmission power loss peak value floating span during energy storage and the line transmission power loss peak value floating span during discharge during the operation stage of the monitored object is marked as DSC;

[0044] Obtain the sustainable supply duration of the monitored object under the power demand state in the power supply coverage area and the power supply interruption buffer duration of the monitored object under the power non-demand state, and obtain the power supply interruption duration ratio of the monitored object according to the ratio calculation, and set the label SCB;

[0045] By formula The equipment operation evaluation coefficient B of the monitored object is obtained, where a1, a2 and a3 are all preset proportional coefficients, and a1>a2>a3>1, and α is an error correction factor, which is 1.21;

[0046] Compare the equipment operation evaluation coefficient B of the monitored object with the equipment operation evaluation coefficient threshold:

[0047] If the equipment operation evaluation coefficient B of the monitored object exceeds the equipment operation evaluation coefficient threshold, the equipment operation evaluation of the monitored object is judged to be unqualified, and an equipment evaluation abnormality signal is generated and sent to the operation supervision center. After receiving the equipment evaluation abnormality signal, the operation supervision center performs equipment maintenance on the current monitored object;

[0048] If the equipment operation evaluation coefficient B of the monitored object does not exceed the equipment operation evaluation coefficient threshold, the equipment operation evaluation of the monitored object is determined to be qualified, and a normal equipment evaluation signal is generated and sent to the operation supervision center. At the same time, an execution prediction analysis signal is generated and sent to the execution prediction analysis unit. After receiving the execution prediction analysis signal, the execution prediction analysis unit analyzes and monitors the execution prediction of the monitored object to determine whether the execution prediction of the operation decision of the monitored object is reasonable, thereby ensuring the operation efficiency of the monitored object and avoiding abnormal operation decisions that lead to reduced operation efficiency of the monitored object, increasing unnecessary costs and causing unstable supply in the power supply area;

[0049] The instantaneous increase span of the power supply scheduling amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase are obtained, and the instantaneous increase span of the power supply scheduling amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase are compared with the instantaneous increase span threshold and the peak difference threshold respectively:

[0050] If the instantaneous increase span of the power supply dispatching amount in the power supply coverage area during the energy storage phase during the operation period of the monitored object exceeds the instantaneous increase span threshold, or the supply peak difference between the current supply cycle and the next supply cycle of the monitored object during the discharge phase exceeds the peak difference threshold, then the execution prediction analysis of the monitored object is judged to be inefficient, and a prediction analysis inefficiency signal is generated and sent to the operation supervision center. After receiving the prediction analysis inefficiency signal, the operation supervision center will rectify the prediction before the decision execution of the monitored object to avoid deviation in the execution decision;

[0051] If the instantaneous increase span of the power supply scheduling amount in the power supply coverage area during the energy storage stage during the operating period of the monitored object does not exceed the instantaneous increase span threshold, and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object during the discharge stage does not exceed the peak difference threshold, then the execution prediction analysis of the monitored object is determined to be efficient, a prediction analysis efficiency signal is generated and the prediction analysis efficiency signal is sent to the operation supervision center.

[0052] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0053] When the present invention is in use, the energy storage decision analysis unit performs energy storage decision analysis on the photovoltaic storage and charging integrated device, marks the photovoltaic storage and charging integrated device as a monitoring object, and the discharge decision analysis unit performs discharge decision analysis on the monitoring object. After the energy storage decision analysis unit and the discharge decision analysis unit generate a normal energy storage decision signal and a normal discharge decision signal respectively, the equipment operation evaluation unit evaluates the power operation execution device of the monitoring object, and the execution prediction analysis unit analyzes and monitors the execution prediction of the monitoring object to determine whether the execution prediction of the operation decision of the monitoring object is reasonable.

[0054] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A data analysis-based photovoltaic storage and charging equipment operation supervision system, characterized in that: It includes an operation supervision center, which is connected to the energy storage decision analysis unit, the discharge decision analysis unit, the equipment operation evaluation unit and the execution prediction analysis unit; The energy storage decision analysis unit performs energy storage decision analysis on the photovoltaic storage and charging integrated device, and marks the photovoltaic storage and charging integrated device as a monitoring object. The discharge decision analysis unit performs discharge decision analysis on the monitoring object. After the energy storage decision analysis unit and the discharge decision analysis unit generate a normal energy storage decision signal and a normal discharge decision signal respectively, the equipment operation evaluation unit evaluates the power operation execution device of the monitoring object. The execution prediction analysis unit analyzes and monitors the execution prediction of the monitoring object to determine whether the execution prediction of the operation decision of the monitoring object is reasonable. The operation process of the discharge decision analysis unit is as follows: The unused power to be recovered of the power supplied by the monitored object after the end of the current power consumption cycle in the power supply coverage area during the discharge period of the monitored object is obtained, and at the same time, the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area is obtained, and the unused power to be recovered of the power supplied by the monitored object after the end of the current power consumption cycle in the power supply coverage area and the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area are compared with the threshold of power to be recovered and the threshold of the proportion of speed numerical synchronization time respectively; If the unused power to be recovered of the monitored object after the end of the current power consumption cycle in the power supply coverage area exceeds the threshold of the power to be recovered, or the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area exceeds the threshold of the proportion of the speed numerical synchronization time, then the discharge decision analysis of the monitored object is judged to be abnormal, and a discharge decision abnormality signal is generated and sent to the operation supervision center. After receiving the discharge decision abnormality signal, the operation supervision center rectifies the current discharge decision and re-evaluates the demand when executing the discharge decision in the next adjacent cycle; If the power supply of the monitored object is not used and the amount of power to be recovered does not exceed the threshold of the amount of power to be recovered after the end of the current power consumption cycle in the power supply coverage area, and the proportion of the numerical synchronization time between the regional power consumption speed and the power supply speed of the monitored object in the current power consumption cycle in the power supply coverage area does not exceed the proportion threshold of the speed numerical synchronization time, then it is determined that the discharge decision analysis of the monitored object is normal, and a normal discharge decision signal is generated and sent to the operation supervision center; The operation process of the equipment operation evaluation unit is as follows: The numerical deviation between the temperature rise rate of the line transmission during energy storage and the temperature rise rate of the line transmission during discharge during the operation stage of the monitored object is obtained, and the numerical deviation between the temperature rise rate of the line transmission during energy storage and the temperature rise rate of the line transmission during discharge during the operation stage of the monitored object is marked as WSC; the numerical difference between the peak floating span of the line transmission power loss during energy storage and the peak floating span of the line transmission power loss during discharge during the operation stage of the monitored object is obtained, and the numerical difference between the peak floating span of the line transmission power loss during energy storage and the peak floating span of the line transmission power loss during discharge during the operation stage of the monitored object is marked as DSC; the sustainable supply time of the monitored object under the demand power state in the power supply coverage area and the supply interruption buffer time of the monitored object under the non-demand power state are obtained, and the supply and disconnection time ratio of the monitored object is obtained according to the ratio calculation, and the label SCB is set; through the formula The equipment operation evaluation coefficient B of the monitored object is obtained, where a1, a2 and a3 are all preset proportional coefficients, and a1>a2>a3>1, and α is an error correction factor, which is 1.21; Compare the equipment operation evaluation coefficient B of the monitored object with the equipment operation evaluation coefficient threshold: If the equipment operation evaluation coefficient B of the monitored object exceeds the equipment operation evaluation coefficient threshold, the equipment operation evaluation of the monitored object is judged to be unqualified, and an equipment evaluation abnormality signal is generated and sent to the operation supervision center. After receiving the equipment evaluation abnormality signal, the operation supervision center performs equipment maintenance on the current monitored object; If the equipment operation evaluation coefficient B of the monitored object does not exceed the equipment operation evaluation coefficient threshold, the equipment operation evaluation of the monitored object is determined to be qualified, and a normal equipment evaluation signal is generated and sent to the operation supervision center.

2. According to the data analysis-based photovoltaic storage and charging integrated equipment operation supervision system of claim 1, it is characterized in that: The operation process of the energy storage decision analysis unit is as follows: Obtain the duration of the energy storage cost of the monitored object higher than the preset cost value and the proportion of the power supply duration when the energy storage cost of the monitored object is continuously supplied with power at the maximum energy storage release rate during the energy storage period of the monitored object. At the same time, obtain the growth span ratio of the energy storage cost increase rate and the power grid supply cost increase rate of the monitored object corresponding to the supply area during the energy storage period of the monitored object, and analyze them; If the duration of the energy storage cost of the monitored object exceeding the preset cost value and the power supply duration ratio when the power supply is continuously supplied at the maximum energy storage release speed exceed the duration ratio threshold, or the energy storage cost increase speed and the power supply cost increase speed of the corresponding supply area of ​​the monitored object exceed the speed increase span ratio at the same time, then an energy storage decision abnormality signal is generated and sent to the operation supervision center; If the duration during which the energy storage cost of the monitored object is higher than the preset cost value and the proportion of the power supply duration do not exceed the duration proportion threshold when continuous power supply is provided at the maximum energy storage release rate, and the energy storage cost increase rate and the power grid supply cost increase rate of the monitored object in the supply area do not exceed the simultaneous speed growth span ratio, then a normal energy storage decision signal is generated and sent to the operation supervision center.

3. According to the data analysis-based photovoltaic storage and charging integrated equipment operation supervision system of claim 1, it is characterized in that: The operation process of executing the prediction analysis unit is as follows: The instantaneous increase span of the power supply scheduling amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase are obtained, and the instantaneous increase span of the power supply scheduling amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase are compared with the instantaneous increase span threshold and the peak difference threshold respectively: If the instantaneous increase span of the power supply dispatching amount in the power supply coverage area in the energy storage phase during the operation period of the monitored object exceeds the instantaneous increase span threshold, or the supply peak difference between the current supply cycle and the next supply cycle of the monitored object in the discharge phase exceeds the peak difference threshold, then it is determined that the execution prediction analysis of the monitored object is inefficient, and a prediction analysis inefficiency signal is generated and sent to the operation supervision center; If the instantaneous increase span of the power supply scheduling amount in the power supply coverage area during the energy storage stage during the operating period of the monitored object does not exceed the instantaneous increase span threshold, and the supply peak difference between the current supply cycle and the next supply cycle of the monitored object during the discharge stage does not exceed the peak difference threshold, then the execution prediction analysis of the monitored object is determined to be efficient, a prediction analysis efficiency signal is generated and the prediction analysis efficiency signal is sent to the operation supervision center.

Images