CN112598272A - Smart power grid management system based on block chain technology - Google Patents

Smart power grid management system based on block chain technology Download PDF

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CN112598272A
CN112598272A CN202011529372.5A CN202011529372A CN112598272A CN 112598272 A CN112598272 A CN 112598272A CN 202011529372 A CN202011529372 A CN 202011529372A CN 112598272 A CN112598272 A CN 112598272A
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丁昆浩
欧阳微
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Abstract

The invention relates to the technical field of power grids, in particular to an intelligent power grid management system based on a block chain technology, which comprises an intelligent meter terminal, a data dump module, a cloud processing module and a management distribution module; due to the fact that power grid frequency fluctuation caused by imbalance exists between the power load of the user terminal in the power grid and the power generation power of the power generation end, and hysteresis exists in the scheduling of the power grid system, real-time change conditions of the power grid are difficult to match, and waste and insufficiency of power supply of the power grid are caused; therefore, the power consumption change of the user is monitored in real time through the set intelligent meter terminal, the data of the power consumption of the user are subjected to distributed processing through the cloud processing module and are converted into the data model of the block chain, the power consumption is balanced among the nodes of the power grid, the data quantity of the power grid system needing to be processed in real time is reduced, the balance between power supply and load in the power grid is stabilized, and therefore the operation effect of the intelligent power grid management system based on the block chain technology is improved.

Description

Smart power grid management system based on block chain technology
Technical Field
The invention relates to the technical field of power grids, in particular to an intelligent power grid management system based on a block chain technology.
Background
The power grid generally refers to a whole consisting of a power transformation device and a power transmission and distribution line, excluding a power generation side; the power grid comprises three links of power transformation, power transmission and power distribution; the power transformation is a link of converting voltage from low grade to high grade or from high grade to low grade through power transformation equipment, namely a voltage boosting and reducing process, the power transmission is a link of transmitting electric energy through a power transmission line, and the power distribution is a link of distributing the electric energy from a high-voltage power transmission line to users through power distribution transformation; the intelligent power grid brings users into a power system on the basis of intelligent electric meters arranged at the user side, and economic and energy-saving power generation and transmission and distribution schemes in a distribution area are further allocated by counting the power consumption information of the users, so that the power consumption efficiency of a power grid terminal is improved, peak clipping and valley filling are performed, a power grid load curve is smoothed, the power grid pressure is reduced, and the power cost is further reduced.
In the operation process of a power grid, power grid frequency fluctuation caused by imbalance between the power load change of a user terminal and stable power generation power of a power grid power generation end in unit time influences the operation state of power consumption equipment of the user terminal, hysteresis is still remained in scheduling of a power grid system, real-time change conditions in the operation of the power grid are difficult to match, waste and deficiency of power supplied by the power grid are caused, meanwhile, the load condition of the power grid is counted in real time, and the difficulty in processing and analyzing the data is increased due to a large amount of generated data.
Some technical schemes of an intelligent power grid management system related to a block chain technology also appear in the prior art, for example, a chinese patent with application number 201911184387X discloses a micro-grid power dispatching system based on a block chain, which is used for solving the problems that in the prior art, the dispatching is unreasonable, potential safety hazards often exist and power supply reliability is seriously affected due to less work experience of power dispatching personnel and insufficient professional knowledge, which are caused by distributing electric quantity to some inactive users, and comprises a data acquisition module, a server, a user active module, a power dispatching module, a personnel login module and a technical learning module; according to the technical scheme, through power consumption analysis and instruction confirmation of power users, some non-power users are removed, electric quantity generated by the micro-grid is uniformly scheduled on active power users, and unreasonable scheduling caused by distribution of electric quantity by some non-active users is avoided; through the calculation of the skill learning value, the power dispatching personnel is required to promote the power dispatching knowledge, so that the problems that the power dispatching personnel has less working experience and insufficient professional knowledge mastering, potential safety hazards exist and the power supply reliability is influenced are avoided; however, the technical scheme does not solve the problem that the difference of the end-to-electric energy load of the user in the power grid system and the unbalance of the electric energy supply cause the waste of power resources in the power grid and the fluctuation of the power grid frequency, and the application effect of the smart power grid is influenced.
In view of this, in order to overcome the above technical problems, the present invention provides a smart grid management system based on a blockchain technology, which adopts a special smart grid system architecture to solve the above technical problems.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides a smart grid management system based on a block chain technology, which monitors the power consumption change of a user in real time through an arranged smart meter terminal, performs distributed processing on the data consumed by the user through a cloud processing module, converts the data into a data model of the block chain, reduces the data amount required to be processed by the grid system in real time for balancing the power consumption among grid nodes, stabilizes the balance between power supply and load in the grid, and improves the operation effect of the smart grid management system based on the block chain technology.
The invention relates to an intelligent power grid management system based on a block chain technology, which comprises an intelligent meter terminal, a data dump module, a cloud processing module and a management distribution module; the intelligent meter terminal is used for counting power consumption data of a power grid user, wherein the power consumption data comprises an instantaneous power load value and duration; the data dump module records data counted by the intelligent meter terminal and calculates the extreme value, the mean value and the standard deviation of the power load within a set time period; the cloud processing module is used for receiving a calculation result of the data dump module on the data in the intelligent meter terminal, performing block storage on the data by using a power grid node to which the intelligent meter terminal belongs, and uniformly recording the data of the intelligent meter terminal in a single power grid node; the management distribution module monitors the power load condition of each power grid node in operation and adjusts the distribution condition of the electric energy in the power grid among the power grid nodes;
the statistical trigger factors of the intelligent meter terminal comprise time and load value changes; the time units include per second, per hour, per peak-to-valley period, holiday periods and seasonal periods; the load value change comprises micro value fluctuation and power change, wherein the micro value fluctuation refers to the range of a voltage value deviating from a set value when the user terminal uses electric energy, and the power change refers to the power change caused by the connection and disconnection of power consumption equipment of the user terminal;
the data dump module compares the calculation result of the intelligent meter terminal data with a set threshold value, marks the intelligent meter terminal as users of different types according to the size of an extreme value, a mean value and a standard deviation so as to show the influence factors of the intelligent meter terminal in the power grid node, and summarizes and subdivides the category to which the intelligent meter terminal belongs by adjusting the type of the threshold value:
a critical early warning value is set in the cloud processing module, when the electric energy consumption condition in the power grid node exceeds a critical value, data corresponding to the condition of the electric energy consumption condition is sent to the management distribution module, and the management distribution module is used for allocating electric energy output of the power grid to each node;
in the operation process of a power grid, the frequency fluctuation of the power grid caused by imbalance between the power load change of a user terminal and the stable power generation power of a power generation end of the power grid in unit time influences the operation state of power consumption equipment of the user terminal, the scheduling of a power grid system still has hysteresis, the real-time change condition of the power grid in operation is difficult to match, the waste and the deficiency of the power supply of the power grid are caused, meanwhile, the load condition of the power grid is counted in real time, and the difficulty in processing and analyzing the generated mass data is increased;
therefore, the change of the power grid load of the user terminal in unit time is recorded through the set intelligent meter terminal, the statistical data are classified through the data dump module, the electric energy demand condition and the corresponding frequency range of a single power grid node are obtained, the electric energy demand condition and the corresponding frequency range are further converted into block data in the cloud processing module, the block data are fitted with the historical record value through the real-time condition of the monitored block data, the future required condition of the power grid node is predicted, the electric energy supply among the power grid nodes is changed through the management distribution module, and the balance between the user demand of the intelligent meter terminal and the electric energy supply of the power grid is maintained; according to the invention, the set smart meter terminal is utilized to monitor the power consumption change of the user in real time, the data of the power consumption of the user is subjected to distributed processing through the cloud processing module and converted into the data model of the block chain, the power consumption is balanced among the nodes of the power grid, the data quantity of the power grid system which needs to be processed in real time is reduced, the balance between the power supply and the load in the power grid is stabilized, and thus the operation effect of the smart power grid management system based on the block chain technology is improved.
Preferably, after the data dump module calculates the statistical data of the smart meter terminal, the minimum value, the mean value and the maximum value in the calculated data are respectively marked as α, δ and β, and a corresponding data statistical set is marked in the data dump module: then, comparing the original data Pi of the intelligent meter terminal with the values of alpha, delta and beta respectively, taking the latest value, marking the difference value between the latest value and the values of alpha, delta and beta as gamma i, and dividing the latest value into data sets corresponding to alpha, delta and beta for statistics; the statistical data set among the data dump modules is transmitted to a cloud processing module; the intelligent meter terminal has the advantages that the data volume of the electricity utilization parameters is large in real-time statistics, and the storage space occupied by a unit for recording original data in the cloud processing module and the analysis time for processing the original data are increased; by feeding back the extreme value and mean value data preliminarily counted by the data dump module to the original data of the intelligent meter terminal, converting the raw data (P1, P2, P3 … … Pi) of the terminal real-time statistics of the intelligent meter into alpha (gamma a, gamma a +1 … … gamma a + n), delta (gamma b, gamma b +1 … … gamma b + n) and beta (gamma c, gamma c +1 … … gamma c + n), wherein (a, a +1 … … a + n) + (b, b +1 … … b + n) + (c, c +1 … … c + n) ((1, 2,3 … … i)), the raw data is dumped into difference data based on the calculated value, and then the number of bytes occupied by the recorded data is reduced, the occupied space for the statistical data of the smart meter terminal is reduced, and the analysis amount of the cloud processing module on the data is enhanced, so that the operation effect of the smart grid management system based on the block chain technology is improved.
Preferably, the influence factors for marking the user type in the data dump module comprise instantaneous values and ratio values; the instantaneous value is the difference between the maximum value and the minimum value of the power load of the user recorded by the intelligent meter terminal, and the duty ratio is the proportion of the power consumption of the user in the power grid node recorded by the intelligent meter terminal; the set threshold parameter is correspondingly adjusted according to the magnitude of the influence factor value; in the power grid system, because the difference of the power consumption equipment of the user terminal has different operation processes, the data of the power consumption of the user terminal is recorded by the intelligent meter terminal at the same time, and the change process of the power load difference between different user terminals interferes with the operation stability of the power grid node after superposition; the data of different user intelligent meter terminals are counted, the proportion of instantaneous power fluctuation and power load with large influence factors on power grid nodes is additionally marked according to the counted data set characteristics, the correspondingly set influence factors are adjusted, the proportion of the influence factors in the power grid nodes is increased, the reliability of data provided by a data dump module to a cloud processing module is enhanced, the consumption of a load user end to electric energy can be stabilized due to the change of the electric energy capacity supplied by the power grid nodes, and therefore the operation effect of the intelligent power grid management system based on the block chain technology is improved.
Preferably, before the data dump module calculates the data of the smart meter terminal, the data dump module compares the original data of the smart meter terminal with the monitoring data of the secondary equipment in the power grid node, and records the change of the electrical parameter difference value between the original data and the monitoring data; in the power grid system, a large number of secondary devices are installed to monitor the electrical parameters of the primary devices, and data communication is performed among the secondary devices to ensure the running state of the power grid system; the monitoring end of the secondary equipment and the primary data counted by the intelligent meter terminal are within a stable difference interval in a normally running power grid system after power grid lines and equipment losses are eliminated, and before the power grid lines and the power equipment losses occur in the power grid system, the secondary equipment at the input end of a power grid node and the intelligent meter terminal at the output end are utilized to timely discover hidden dangers of the power lines and the power equipment generated in the time, and defect elimination processing is performed in advance, so that the running effect of the intelligent power grid management system based on the block chain technology is stabilized.
Preferably, the grid node is also connected with an energy storage terminal, and the energy storage terminal comprises energy storage batteries of a pumped storage power station and an electric vehicle charging station; the management distribution module regulates the electric energy transmission between the power grid node and the energy storage terminal according to the load state of the power grid node; the electric energy production in the power grid system belongs to disposable energy, and the production quantity of the electric energy is matched with the consumption quantity of the power grid system through the management scheduling module so as to avoid the problem caused by frequently changing the running state of the power generation facility; through the energy storage batteries of the pumped storage power station and the electric vehicle charging station, instantaneous and overhigh electric energy supply is converted into gravitational potential energy and chemical energy for storage, the pumped storage power station is started to carry out hydroelectric power generation in the high-load state of the power grid nodes, the distribution characteristics of the pumped storage power station and the electric vehicle charging station on geography are utilized, the load change in the power grid nodes in different environments is buffered respectively, the voltage of the cycle of the power system is stabilized, and the operation effect of the intelligent power grid management system based on the block chain technology is improved.
Preferably, the electric vehicle charging station of the energy storage terminal adjusts the charging price in real time according to the load state of the power grid node; the power grid nodes in the city are easily interfered by the periodic power consumption change in the daily life of residents; the charging price of the electric vehicle charging station in a city is matched with the load state of the power grid nodes, when the power grid load is large, the charging price is increased to reduce the load of the power grid nodes, when the power grid load is small, the electricity price is reduced to consume the electric energy in the power grid nodes in time, the buffer capacity of the energy storage terminal for the fluctuation of the electric energy load in the power grid nodes is enhanced, the cloud processing module is matched to predict the load data of the power grid nodes, the price of the charging station is adjusted in advance, the high-power operation process of the charging station is in the predicted low-load state of the power grid nodes, and therefore the operation effect of the intelligent power grid management system based on the block chain technology is stabilized.
The invention has the following beneficial effects:
1. according to the invention, through the arranged intelligent meter terminal, the power consumption change of the user is monitored in real time, the data of the power consumption of the user is subjected to distributed processing through the cloud processing module and converted into the data model of the block chain, the power consumption balance is carried out among the nodes of the power grid, the data quantity of the power grid system which needs to be processed in real time is reduced, and the balance between the power supply and the load in the power grid is stabilized.
2. According to the invention, original data are dumped into difference data based on the calculated value, so that the occupied space of statistical data of the intelligent meter terminal is reduced, and the analysis amount of the cloud processing module on the data is enhanced; by counting the characteristics of data sets of different user intelligent meter terminals, the instantaneous power fluctuation with large influence factors on the power grid nodes and the proportion of power loads are additionally marked, correspondingly set influence factors are adjusted, and the reliability of data provided by the data dump module to the cloud processing module is enhanced.
3. According to the invention, by utilizing the geographical distribution characteristics of the pumped storage power station and the electric vehicle charging station, the load change in the power grid nodes under different environments is respectively buffered, and the voltage of the cycle of the power system is stabilized; the charging price of an electric vehicle charging station in a city is matched with the load state of a power grid node, the buffering capacity of the energy storage terminal for electric energy load fluctuation in the power grid node is enhanced, and the high-power operation process of the charging station is in a low-load state of predicting the power grid node by matching with the prediction of the load data of the power grid node by the cloud processing module.
Drawings
The invention is further described with reference to the following figures and embodiments.
FIG. 1 is a block diagram of a smart grid management system based on a blockchain technique according to the present invention;
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, the smart grid management system based on the block chain technology includes a smart meter terminal, a data dump module, a cloud processing module, and a management allocation module; the intelligent meter terminal is used for counting power consumption data of a power grid user, wherein the power consumption data comprises an instantaneous power load value and duration; the data dump module records data counted by the intelligent meter terminal and calculates the extreme value, the mean value and the standard deviation of the power load within a set time period; the cloud processing module is used for receiving a calculation result of the data dump module on the data in the intelligent meter terminal, performing block storage on the data by using a power grid node to which the intelligent meter terminal belongs, and uniformly recording the data of the intelligent meter terminal in a single power grid node; the management distribution module monitors the power load condition of each power grid node in operation and adjusts the distribution condition of the electric energy in the power grid among the power grid nodes;
the statistical trigger factors of the intelligent meter terminal comprise time and load value changes; the time units include per second, per hour, per peak-to-valley period, holiday periods and seasonal periods; the load value change comprises micro value fluctuation and power change, wherein the micro value fluctuation refers to the range of a voltage value deviating from a set value when the user terminal uses electric energy, and the power change refers to the power change caused by the connection and disconnection of power consumption equipment of the user terminal;
the data dump module compares the calculation result of the intelligent meter terminal data with a set threshold value, marks the intelligent meter terminal as different types of users according to the size of an extreme value, a mean value and a standard deviation so as to show the influence factors of the intelligent meter terminal in the power grid node, and summarizes and subdivides the category to which the intelligent meter terminal belongs by adjusting the type of the threshold value;
a critical early warning value is set in the cloud processing module, when the electric energy consumption condition in the power grid node exceeds a critical value, data corresponding to the condition of the electric energy consumption condition is sent to the management distribution module, and the management distribution module is used for allocating electric energy output of the power grid to each node;
in the operation process of a power grid, the frequency fluctuation of the power grid caused by imbalance between the power load change of a user terminal and the stable power generation power of a power generation end of the power grid in unit time influences the operation state of power consumption equipment of the user terminal, the scheduling of a power grid system still has hysteresis, the real-time change condition of the power grid in operation is difficult to match, the waste and the deficiency of the power supply of the power grid are caused, meanwhile, the load condition of the power grid is counted in real time, and the difficulty in processing and analyzing the generated mass data is increased;
therefore, the change of the power grid load of the user terminal in unit time is recorded through the set intelligent meter terminal, the statistical data are classified through the data dump module, the electric energy demand condition and the corresponding frequency range of a single power grid node are obtained, the electric energy demand condition and the corresponding frequency range are further converted into block data in the cloud processing module, the block data are fitted with the historical record value through the real-time condition of the monitored block data, the future required condition of the power grid node is predicted, the electric energy supply among the power grid nodes is changed through the management distribution module, and the balance between the user demand of the intelligent meter terminal and the electric energy supply of the power grid is maintained; according to the invention, the set smart meter terminal is utilized to monitor the power consumption change of the user in real time, the data of the power consumption of the user is subjected to distributed processing through the cloud processing module and converted into the data model of the block chain, the power consumption is balanced among the nodes of the power grid, the data quantity of the power grid system which needs to be processed in real time is reduced, the balance between the power supply and the load in the power grid is stabilized, and thus the operation effect of the smart power grid management system based on the block chain technology is improved.
As an embodiment of the present invention, after the data dump module calculates the statistical data of the smart meter terminal, the minimum value, the mean value, and the maximum value in the calculated data are respectively recorded as α, δ, and β, and a corresponding data statistics set is drawn in the data dump module: then, comparing the original data Pi of the intelligent meter terminal with the values of alpha, delta and beta respectively, taking the latest value, marking the difference value between the latest value and the values of alpha, delta and beta as gamma i, and dividing the latest value into data sets corresponding to alpha, delta and beta for statistics; the statistical data set among the data dump modules is transmitted to a cloud processing module; the intelligent meter terminal has the advantages that the data volume of the electricity utilization parameters is large in real-time statistics, and the storage space occupied by a unit for recording original data in the cloud processing module and the analysis time for processing the original data are increased; by feeding back the extreme value and mean value data preliminarily counted by the data dump module to the original data of the intelligent meter terminal, converting the raw data (P1, P2, P3 … … Pi) of the terminal real-time statistics of the intelligent meter into alpha (gamma a, gamma a +1 … … gamma a + n), delta (gamma b, gamma b +1 … … gamma b + n) and beta (gamma c, gamma c +1 … … gamma c + n), wherein (a, a +1 … … a + n) + (b, b +1 … … b + n) + (c, c +1 … … c + n) ((1, 2,3 … … i)), the raw data is dumped into difference data based on the calculated value, and then the number of bytes occupied by the recorded data is reduced, the occupied space for the statistical data of the smart meter terminal is reduced, and the analysis amount of the cloud processing module on the data is enhanced, so that the operation effect of the smart grid management system based on the block chain technology is improved.
As an implementation mode of the invention, the influence factors for marking the user type in the data dump module comprise an instantaneous value and a ratio value; the instantaneous value is the difference between the maximum value and the minimum value of the power load of the user recorded by the intelligent meter terminal, and the duty ratio is the proportion of the power consumption of the user in the power grid node recorded by the intelligent meter terminal; the set threshold parameter is correspondingly adjusted according to the magnitude of the influence factor value; in the power grid system, because the difference of the power consumption equipment of the user terminal has different operation processes, the data of the power consumption of the user terminal is recorded by the intelligent meter terminal at the same time, and the change process of the power load difference between different user terminals interferes with the operation stability of the power grid node after superposition; the data of different user intelligent meter terminals are counted, the proportion of instantaneous power fluctuation and power load with large influence factors on power grid nodes is additionally marked according to the counted data set characteristics, the correspondingly set influence factors are adjusted, the proportion of the influence factors in the power grid nodes is increased, the reliability of data provided by a data dump module to a cloud processing module is enhanced, the consumption of a load user end to electric energy can be stabilized due to the change of the electric energy capacity supplied by the power grid nodes, and therefore the operation effect of the intelligent power grid management system based on the block chain technology is improved.
As an embodiment of the present invention, before the data dump module calculates the data of the smart meter terminal, the data dump module compares the original data of the smart meter terminal with the monitoring data of the secondary device in the power grid node, and records the change of the electrical parameter difference value therebetween; in the power grid system, a large number of secondary devices are installed to monitor the electrical parameters of the primary devices, and data communication is performed among the secondary devices to ensure the running state of the power grid system; the monitoring end of the secondary equipment and the primary data counted by the intelligent meter terminal are within a stable difference interval in a normally running power grid system after power grid lines and equipment losses are eliminated, and before the power grid lines and the power equipment losses occur in the power grid system, the secondary equipment at the input end of a power grid node and the intelligent meter terminal at the output end are utilized to timely discover hidden dangers of the power lines and the power equipment generated in the time, and defect elimination processing is performed in advance, so that the running effect of the intelligent power grid management system based on the block chain technology is stabilized.
As an embodiment of the invention, an energy storage terminal is further connected in the grid node, and the energy storage terminal comprises energy storage batteries of a pumped storage power station and an electric vehicle charging station; the management distribution module regulates the electric energy transmission between the power grid node and the energy storage terminal according to the load state of the power grid node; the electric energy production in the power grid system belongs to disposable energy, and the production quantity of the electric energy is matched with the consumption quantity of the power grid system through the management scheduling module so as to avoid the problem caused by frequently changing the running state of the power generation facility; through the energy storage batteries of the pumped storage power station and the electric vehicle charging station, instantaneous and overhigh electric energy supply is converted into gravitational potential energy and chemical energy for storage, the pumped storage power station is started to carry out hydroelectric power generation in the high-load state of the power grid nodes, the distribution characteristics of the pumped storage power station and the electric vehicle charging station on geography are utilized, the load change in the power grid nodes in different environments is buffered respectively, the voltage of the cycle of the power system is stabilized, and the operation effect of the intelligent power grid management system based on the block chain technology is improved.
As an embodiment of the present invention, the electric vehicle charging station of the energy storage terminal adjusts the charging price in real time according to the load state of the power grid node; the power grid nodes in the city are easily interfered by the periodic power consumption change in the daily life of residents; the charging price of the electric vehicle charging station in a city is matched with the load state of the power grid nodes, when the power grid load is large, the charging price is increased to reduce the load of the power grid nodes, when the power grid load is small, the electricity price is reduced to consume the electric energy in the power grid nodes in time, the buffer capacity of the energy storage terminal for the fluctuation of the electric energy load in the power grid nodes is enhanced, the cloud processing module is matched to predict the load data of the power grid nodes, the price of the charging station is adjusted in advance, the high-power operation process of the charging station is in the predicted low-load state of the power grid nodes, and therefore the operation effect of the intelligent power grid management system based on the block chain technology is stabilized.
When the intelligent power grid load monitoring system works, changes of a user terminal to the power grid load in unit time are recorded through the set intelligent meter terminal, the statistical data are classified through the data dump module, the electric energy demand condition and the corresponding frequency range of a single power grid node are obtained, the electric energy demand condition and the corresponding frequency range are further converted into block data in the cloud processing module, the block data are fitted with historical record values through the real-time condition of the monitored block data, the future required condition of the power grid node is predicted, the electric energy supply among the power grid nodes is changed through the management distribution module, and the balance between the user demand of the intelligent meter terminal and the electric energy supply of the power grid is maintained; feeding back extremum and mean value data preliminarily counted by a data dump module to original data of an intelligent meter terminal, converting the original data (P1, P2 and P3 … … Pi) counted by the intelligent meter terminal in real time into alpha (gamma a, gamma a +1 … … gamma a + n), delta (gamma b, gamma b +1 … … gamma b + n) and beta (gamma c, gamma c +1 … … gamma c + n), wherein (a, a +1 … … a + n) + (b, b +1 … … b + n) + (c, c +1 … … c + n) ═ 1,2,3 … … i, dumping the original data into difference data based on a calculated value, further reducing the number of bytes occupied by recorded data, reducing the occupied space for the data counted by the intelligent meter terminal and enhancing the analysis amount of data by a cloud processing module; the method comprises the steps of counting data of different user intelligent meter terminals, additionally marking the instantaneous power fluctuation with large influence factors of power grid nodes and the proportion of power loads according to the characteristics of a counted data set, adjusting correspondingly set influence factors, increasing the proportion of the influence factors in the power grid nodes, enhancing the reliability of data provided by a data dump module to a cloud processing module, and ensuring that the consumption of the power by a load user terminal can be stabilized due to the change of the capacity of the power supplied by the power grid nodes; comparing and recording original data counted by the intelligent meter terminal and monitoring data of secondary equipment through a data dump module, after power grid lines and equipment loss are eliminated, in a normally running power grid system, a monitoring end of the secondary equipment and the original data counted by the intelligent meter terminal are within a stable difference interval, before power line and power equipment loss occurs in the power grid system, hidden dangers of the power lines and the power equipment generated in the period are timely discovered by using the secondary equipment at the input end of a power grid node and the intelligent meter terminal at the output end of the power grid node, and defect elimination processing is carried out in advance; the energy storage batteries of the pumped storage power station and the electric vehicle charging station are arranged to convert instantaneous over-high electric energy supply into gravitational potential energy and chemical energy for storage, and the pumped storage power station is started to carry out hydroelectric power generation when the power grid nodes are in a high-load state, so that the load change in the power grid nodes under different environments is buffered respectively by using the geographical distribution characteristics of the pumped storage power station and the electric vehicle charging station, and the voltage of the cycle of the power system is stabilized; the charging price of an electric vehicle charging station in a city is matched with the load state of a power grid node, when the power grid load is large, the charging price is increased to reduce the load of the power grid node, when the power grid load is small, the electricity price is reduced to consume the electric energy in the power grid node in time, the buffer capacity of the energy storage terminal for electric energy load fluctuation in the power grid node is enhanced, the cloud processing module is matched to predict the load data of the power grid node, the price of the charging station is adjusted in advance, and the high-power operation process of the charging station is in the predicted low-load state of the power grid node.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (6)

1. A smart power grid management system based on a block chain technology is characterized in that; the system comprises an intelligent meter terminal, a data dump module, a cloud processing module and a management distribution module; the intelligent meter terminal is used for counting power consumption data of a power grid user, wherein the power consumption data comprises an instantaneous power load value and duration; the data dump module records data counted by the intelligent meter terminal and calculates the extreme value, the mean value and the standard deviation of the power load within a set time period; the cloud processing module is used for receiving a calculation result of the data dump module on the data in the intelligent meter terminal, performing block storage on the data by using a power grid node to which the intelligent meter terminal belongs, and uniformly recording the data of the intelligent meter terminal in a single power grid node; the management distribution module monitors the power load condition of each power grid node in operation and adjusts the distribution condition of the electric energy in the power grid among the power grid nodes;
the statistical trigger factors of the intelligent meter terminal comprise time and load value changes; the time units include per second, per hour, per peak-to-valley period, holiday periods and seasonal periods; the load value change comprises micro value fluctuation and power change, wherein the micro value fluctuation refers to the range of a voltage value deviating from a set value when the user terminal uses electric energy, and the power change refers to the power change caused by the connection and disconnection of power consumption equipment of the user terminal;
the data dump module compares the calculation result of the intelligent meter terminal data with a set threshold value, marks the intelligent meter terminal as users of different types according to the size of an extreme value, a mean value and a standard deviation so as to show the influence factors of the intelligent meter terminal in the power grid node, and summarizes and subdivides the category to which the intelligent meter terminal belongs by adjusting the type of the threshold value:
and a critical early warning value is set in the cloud processing module, when the electric energy consumption condition in the power grid node exceeds a critical value, data corresponding to the condition is sent to the management distribution module, and the management distribution module is used for allocating the electric energy output of the power grid to each node.
2. The system according to claim 1, wherein after the data dump module calculates the statistical data of the smart meter terminal, the minimum, the mean, and the maximum in the calculated data are respectively denoted as α, δ, and β, and a corresponding data statistics set is drawn in the data dump module: then, comparing the original data Pi of the intelligent meter terminal with the values of alpha, delta and beta respectively, taking the latest value, marking the difference value between the latest value and the values of alpha, delta and beta as gamma i, and dividing the latest value into data sets corresponding to alpha, delta and beta for statistics; and transmitting the statistical data set among the data dump modules to a cloud processing module.
3. The system according to claim 1, wherein the impact factors for marking the user type in the data dump module comprise instantaneous values and ratio values; the instantaneous value is the difference between the maximum value and the minimum value of the power load of the user recorded by the intelligent meter terminal, and the duty ratio is the proportion of the power consumption of the user in the power grid node recorded by the intelligent meter terminal; and the set threshold parameter is adjusted correspondingly according to the magnitude of the influence factor value.
4. The smart grid management system based on the blockchain technology as claimed in claim 1, wherein: before the data dump module calculates the data of the intelligent meter terminal, the data dump module compares the original data of the intelligent meter terminal with the monitoring data of the secondary equipment in the power grid node and records the change of the electrical parameter difference value between the original data and the monitoring data.
5. The smart grid management system based on the blockchain technology as claimed in claim 1, wherein: the energy storage terminal is also connected in the power grid node and comprises energy storage batteries of a pumped storage power station and an electric vehicle charging station; and the management distribution module regulates the electric energy transmission between the power grid node and the energy storage terminal according to the load state of the power grid node.
6. The smart grid management system based on the blockchain technology as claimed in claim 5, wherein: and the electric vehicle charging station of the energy storage terminal adjusts the charging price in real time according to the load state of the power grid node.
CN202011529372.5A 2020-12-22 2020-12-22 Smart power grid management system based on block chain technology Withdrawn CN112598272A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113268527A (en) * 2021-05-27 2021-08-17 中清能绿洲科技股份有限公司 Intelligent photovoltaic energy storage scheduling analysis method and device, server and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113268527A (en) * 2021-05-27 2021-08-17 中清能绿洲科技股份有限公司 Intelligent photovoltaic energy storage scheduling analysis method and device, server and storage medium
CN113268527B (en) * 2021-05-27 2022-02-11 中清能绿洲科技股份有限公司 Intelligent photovoltaic energy storage scheduling analysis method and device, server and storage medium

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