Electric power and electric quantity balancing method and device for novel rural electric power system

Abstract

The invention relates to the technical field of power regulation and control of a power distribution network, in particular to a power and electric quantity balancing method and system for a novel rural power system, and the method comprises the steps: obtaining the power utilization index of a node in each time period through analyzing the fluctuation condition of the difference between the corresponding generation power and power consumption power of the node in each time period; analyzing the stability degree of the power utilization index of the node in each time period, and analyzing the power utilization index difference and the power transmission distance difference between different nodes to obtain the influence index of the node on the stability of the power distribution network; obtaining a demand index of the node on power regulation and control of the power distribution network at the current moment by combining the power utilization index of the node in each time period and the influence index of the node on the stability of the power distribution network; and according to the demand index, a droop control coefficient adjustment index of the node is obtained, and the power supply condition of a certain node in a power supply and consumption imbalance period is regulated and controlled, so that the operation stability of the rural power system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power control of distribution networks, and in particular to a method and device for balancing electric power in a new rural power system. Background Art

[0002] Stable and reliable electricity is an important energy source for maintaining people's normal lives and improving production efficiency. Therefore, it is particularly important to maintain the safe and stable operation of the distribution network. If the potential problems of the distribution network system cannot be responded to and repaired in time, it may cause power outages for a large number of users, or even cause the entire distribution network system to collapse. The rural power supply system is a system that transmits and distributes electricity to rural users through the distribution network. Due to the limitations of rural terrain (such as the existence of mountainous areas), the rural population is generally distributed more loosely, resulting in power supply beyond the power supply radius in some areas, and the layout of its distribution network is relatively weak (such as reactive compensation installation equipment, inadequate operation and management, etc.), making the low voltage problem in rural areas more significant.

[0003] In recent years, with the development of new energy applications, a large number of new energy power generation systems have been connected to the rural power supply system (such as photovoltaic power generation, wind power generation, etc.). The randomness and volatility of natural conditions will bring huge impacts to the distribution network, causing the power supply quality to decline, affecting the development of rural renewable energy and the safe and stable operation of the distribution network.

[0004] In the prior art, in order to ensure the stable operation of rural distribution networks, a power balance prediction model is usually established based on the specific power consumption of a distribution network, so as to regulate the load of the distribution network and maintain the stability of the distribution network. However, in the actual rural power supply scenario, due to the relatively weak structure of the rural distribution network, the large power supply radius, and the restrictions of terrain conditions such as mountainous areas, the low voltage problem in rural areas is significant. In recent years, the access of new energy sources (for example, individual independent photovoltaic power generation equipment) to the distribution network has reduced the load pressure of the lines where they are located. The randomness and volatility of their output have aggravated the load fluctuations of the distribution network, and even extreme power consumption has occurred. Fixed models cannot accurately predict them, and their ability to respond to emergencies is limited, which is not conducive to the stable operation of the power system. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method and device for balancing electric power and quantity in a new rural electric power system, which can maintain the stability of the distribution network.

[0006] The technical solution adopted by the present invention to solve the technical problem is: to provide a power and quantity balancing method for a new rural power system, comprising the following steps:

[0007] Collecting the power generation, power consumption and power transmission distance at each node, and drawing a power consumption time series curve according to the power generation and power consumption at each node;

[0008] The power consumption time series curve is segmented to obtain a plurality of time periods, and the fluctuation of the difference between the power generation and the power consumption corresponding to the node in each time period is analyzed to obtain the power consumption index of the node in each time period;

[0009] Analyze the stability of the power consumption index of the node in each time period, and analyze the difference in power consumption index and power transmission distance between different nodes to obtain the influence index of the node on the stability of the distribution network;

[0010] Combining the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network, obtaining the demand index of the node for power regulation of the distribution network at the current moment;

[0011] According to the demand index, a droop control coefficient adjustment index of the node is obtained, and the droop control coefficient of the node is adjusted based on the droop control coefficient adjustment index of the node.

[0012] The step of segmenting the power consumption time series curve to obtain a plurality of time periods, analyzing the fluctuation of the difference between the power generation power and the power consumption power corresponding to each time period of the node, and obtaining the power consumption index of the node in each time period specifically includes:

[0013] Using an adaptive segmentation algorithm, segmenting the power consumption timing curve of the node to obtain multiple time periods of the node;

[0014] Analyze the difference between the power generation power and the power consumption power corresponding to the node at each time, and obtain the power supply and consumption difference index of the node at each time;

[0015] The fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node is analyzed to obtain the power consumption index of the node in each time period.

[0016] The analyzing the fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node to obtain the power consumption index of the node in each time period specifically includes:

[0017] Calculate the mean of the power supply and consumption difference index corresponding to all moments in each time period of the node to obtain the intra-segment power supply and consumption difference index of each time period of the node, calculate the mean of the intra-segment power supply and consumption difference index of all time periods of the node to obtain the overall power supply and consumption difference index of the node;

[0018] Analyzing the consistency of the power supply and consumption difference index corresponding to all moments in each time period of the node and the corresponding intra-segment power supply and consumption difference index to obtain the consistency of the power supply and consumption difference index in each time period of the node;

[0019] Analyze the difference between the intra-segment power supply and consumption difference index of the node in each time period and the overall power supply and consumption difference index of the node to obtain the difference degree of the power supply and consumption difference index of each time period of the node;

[0020] The power consumption index of the node in each time period is obtained by combining the consistency of the power supply and consumption difference index and the difference degree of the power supply and consumption difference index.

[0021] The analysis of the stability of the power consumption index of the node in each time period, and the analysis of the power consumption index differences and power transmission distance differences between different nodes, to obtain the influence index of the node on the stability of the distribution network, specifically includes:

[0022] Analyze the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period to obtain the power consumption stability index of the node;

[0023] Calculate the ratio of the average power consumption index of the node in all time periods to the average power consumption index of all nodes to obtain the power consumption index difference of the node;

[0024] Calculating a ratio of the power transmission distance of the node to an average of the power transmission distances of all the nodes to obtain a power transmission distance difference of the node;

[0025] The influence index of the node on the stability of the distribution network is obtained by combining the power consumption index difference of the node, the power transmission distance difference and the power consumption stability index.

[0026] The analyzing the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period to obtain the power consumption stability index of the node specifically includes:

[0027] Calculate the variance of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period to obtain the volatility of the power consumption index of the node in each time period;

[0028] The power consumption stability index of the node is obtained according to the volatility of the power consumption index of the node in each time period.

[0029] The combining the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network to obtain the demand index of the node for power regulation of the distribution network at the current moment specifically includes:

[0030] Determine the time period in which the current moment is located, analyze the difference in power consumption index between the current time period and the previous time period of the node, combine the impact index of the node on the stability of the distribution network and the power supply and consumption difference index corresponding to the node at the current moment, and obtain the demand index of the node for power regulation of the distribution network at the current moment.

[0031] The step of obtaining the droop control coefficient adjustment index of the node according to the demand index specifically includes:

[0032] Based on the demand index, analyzing the stability of the power distribution network state of the node at the current moment;

[0033] Based on the demand index, analyzing the demand index difference between the node and other nodes;

[0034] According to the stability degree and the demand index difference, a droop control coefficient adjustment index of the node is obtained.

[0035] The analyzing the stability of the distribution network state of the node at the current moment based on the demand index specifically includes:

[0036] Obtain the maximum value of the demand index of all nodes for power regulation of the distribution network at the current moment;

[0037] Calculate the average value of the demand index of all nodes for power regulation of the distribution network at the current moment;

[0038] The difference between the maximum value of the demand index and the mean value of the demand index is analyzed to obtain the stability of the power distribution network state of the node at the current moment.

[0039] The technical solution adopted by the present invention to solve the technical problem is: an electric power and quantity balancing device for a new rural electric power system, comprising:

[0040] The power monitoring module is used to collect the power generation, power consumption and power transmission distance at each node, and draw a power consumption time series curve according to the power generation and power consumption at each node;

[0041] A power consumption index analysis module, used to segment the power consumption time series curve into multiple time periods, analyze the fluctuation of the difference between the generated power and the consumed power corresponding to each time period of the node, and obtain the power consumption index of the node in each time period;

[0042] The impact index analysis module is used to analyze the stability of the power consumption index of the node in each time period, and analyze the difference in power consumption index and power transmission distance between different nodes to obtain the impact index of the node on the stability of the distribution network;

[0043] A demand index analysis module, used to combine the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network to obtain the demand index of the node for power regulation of the distribution network at the current moment;

[0044] The droop control coefficient adjustment module is used to obtain the droop control coefficient adjustment index of the node according to the demand index, and complete the adjustment of the droop control coefficient of the node based on the droop control coefficient adjustment index of the node.

[0045] The electricity consumption index analysis module includes:

[0046] A segmentation unit, used to segment the power consumption timing curve of the node using an adaptive segmentation algorithm to obtain multiple time periods of the node;

[0047] A first analysis unit, configured to analyze the difference between the power generation and the power consumption corresponding to the node at each time, and obtain a power supply and consumption difference index of the node at each time;

[0048] The second analysis unit is used to analyze the fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node, and obtain the power consumption index of the node in each time period.

[0049] The second analysis unit comprises:

[0050] A calculation subunit, configured to calculate the mean of the power supply and consumption difference index corresponding to all moments in each time period of the node, obtain the intra-segment power supply and consumption difference index of each time period of the node, calculate the mean of the intra-segment power supply and consumption difference index of all time periods of the node, and obtain the overall power supply and consumption difference index of the node;

[0051] A consistency analysis subunit, used to analyze the consistency of the power supply and consumption difference index corresponding to all moments in each time period of the node and the corresponding intra-segment power supply and consumption difference index, to obtain the consistency of the power supply and consumption difference index in each time period of the node;

[0052] The difference degree analysis subunit is used to analyze the difference between the intra-segment power supply and consumption difference index of the node in each time period and the overall power supply and consumption difference index of the node, and obtain the difference degree of the power supply and consumption difference index of each time period of the node;

[0053] The power consumption index acquisition subunit is used to obtain the power consumption index of the node in each time period by combining the consistency of the power supply and consumption difference index and the difference degree of the power supply and consumption difference index.

[0054] The impact index analysis module includes:

[0055] A power consumption stability index analysis unit, used to analyze the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period, to obtain the power consumption stability index of the node;

[0056] A first ratio calculation unit, used to calculate the ratio of the average power consumption index of the node in all time periods to the average power consumption index of all nodes, to obtain the power consumption index difference of the node;

[0057] A second ratio calculation unit, configured to calculate a ratio of the power transmission distance of the node to an average of the power transmission distances of all the nodes, to obtain a power transmission distance difference of the node;

[0058] The influence index acquisition unit is used to obtain the influence index of the node on the stability of the distribution network by combining the power consumption index difference of the node, the power transmission distance difference and the power consumption stability index.

[0059] The power consumption stability index analysis unit comprises:

[0060] A variance calculation subunit, used to calculate the variance of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period, so as to obtain the volatility of the power consumption index of the node in each time period;

[0061] The power consumption stability index determination subunit is used to obtain the power consumption stability index of the node according to the volatility of the power consumption index of the node in each time period.

[0062] The demand index analysis module is used to determine the time period at the current moment, analyze the difference in power consumption index between the current time period and the previous time period of the node, and combine the impact index of the node on the stability of the distribution network and the power supply and consumption difference index corresponding to the node at the current moment to obtain the demand index of the node for power regulation of the distribution network at the current moment.

[0063] The droop control coefficient adjustment module includes:

[0064] A stability analysis unit, configured to analyze the stability of the distribution network state of the node at a current moment based on the demand index;

[0065] A demand index difference analysis unit, configured to analyze a demand index difference between the node and other nodes based on the demand index;

[0066] The droop control coefficient adjustment index determination unit is used to obtain the droop control coefficient adjustment index of the node according to the stability degree and the demand index difference.

[0067] The stability analysis unit comprises:

[0068] An acquisition subunit is used to obtain the maximum value of the demand index of all nodes for power regulation of the distribution network at the current moment;

[0069] The mean value calculation subunit is used to calculate the mean value of the demand index of all nodes for power regulation of the distribution network at the current moment;

[0070] The analysis subunit is used to analyze the difference between the maximum value of the demand index and the mean value of the demand index to obtain the stability of the distribution network state of the node at the current moment.

[0071] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the above-mentioned power and quantity balancing method for a new rural power system are implemented.

[0072] The technical solution adopted by the present invention to solve its technical problem is: providing a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned power and electricity balancing method for a new rural power system are implemented.

[0073] Beneficial Effects

[0074] Due to the adoption of the above technical solution, the present invention has the following advantages and positive effects compared with the prior art: the present invention collects the power generation, power consumption and power transmission distance at each node and draws a power consumption time series curve; then the power consumption time series curve is segmented to obtain multiple time periods, and the fluctuation of the difference between the power generation and power consumption of the node in each time period is analyzed to obtain the power consumption index of the node in each time period. The power consumption index takes into account the difference in individual power generation and power consumption capabilities, that is, the ability of the power consumption individual at each node to maintain its own power consumption is obtained. By analyzing the stability of the power consumption index of the node in each time period, and analyzing the power consumption index difference and power transmission distance difference between different nodes, the influence index of the node on the stability of the distribution network is obtained. The influence index comprehensively considers the ability of the individual to maintain its own power consumption, the power transmission distance and the historical fluctuation of the individual power consumption index, and improves the accuracy of the calculation of the influence index of the node on the stability of the distribution network. By combining the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network, the demand index of the node for power regulation of the distribution network at the current moment is obtained. Based on the demand index, the droop control coefficient adjustment index of the node is obtained to regulate the power supply of the node during the period of unbalanced power supply and consumption, thereby maintaining the stable operation of the rural power system and improving its operation quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1is a flow chart of a method for balancing electric power in a new rural electric power system according to a first embodiment of the present invention;

[0076] Figure 2 is a flow chart of a method for analyzing a power consumption index of a node in each time period in a first embodiment of the present invention;

[0077] Figure 3 It is a schematic diagram of a power consumption timing curve segment in the first embodiment of the present invention;

[0078] Figure 4 is a flow chart of a method for analyzing an impact index of a node on distribution network stability in a first embodiment of the present invention;

[0079] Figure 5 FIG. 4 is a schematic diagram of an electronic device according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0080] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0081] See also Figure 1 , which shows the basic process of a power and quantity balancing method for a new rural power system provided by the first embodiment of the present invention.

[0082] like Figure 1 As shown, the first embodiment of the present invention relates to a power and quantity balancing method for a new rural power system, comprising the following steps:

[0083] S100: Collecting the power generation, power consumption and power transmission distance at each node, and drawing a power consumption time series curve according to the power generation and power consumption at each node.

[0084] Taking a rural distribution network as an example, a single electricity user is taken as a node, and a smart meter is set at each node to collect the power generation, power consumption and power transmission distance at each node, wherein the power transmission distance is the power transmission distance between each node and the distribution network point, and the collection period can be one week. In this embodiment, the power generation and power consumption data at each node collected within one week are used as an example for subsequent analysis. At the same time, the power generation and power consumption at each node obtained are transmitted to the memory in real time based on the communication technology. Further, a power consumption-time coordinate system is established, and the power consumption at each node collected is plotted in the coordinate system in time sequence to obtain a power consumption time series curve; 24 hours is taken as a power consumption cycle, and this step obtains the corresponding curve based on the power consumption data of each power consumption cycle, and the power consumption of a single power consumption cycle obtained is placed in the coordinate system in time sequence, and connected in sequence to obtain the total power consumption-time curve of each node, which is the power consumption time series curve.

[0085] S200: Segment the power consumption time series curve to obtain multiple time periods, analyze the fluctuation of the difference between the power generation power and the power consumption power corresponding to the node in each time period, and obtain the power consumption index of the node in each time period.

[0086] The traditional way of power transmission is to transmit the electric energy from the power plant to the substation through the transmission line, and then transmit it to the customer through the distribution network after being adjusted by the transformer; however, due to the addition of new energy generation, the power in the distribution network does not only come from a unified power station, but individual users can also generate electricity by themselves, thus realizing the self-generation and self-use of individual electricity. Due to the instability of power generation from natural resources, when individual power generation cannot meet their own electricity needs, they need to rely on the distribution network to supplement the power.

[0087] Based on the above analysis, this embodiment first segments the power consumption time series curve into multiple time periods, analyzes the fluctuation of the difference between the power generation power and the power consumption power corresponding to the node in each time period, and obtains the power consumption index of the node in each time period.

[0088] See also Figure 2 , which shows the basic process of the power consumption index analysis method of the node in each time period in this embodiment.

[0089] like Figure 2 As shown, the power consumption time series curve is segmented into multiple time periods, and the fluctuation of the difference between the power generation power and the power consumption power corresponding to each time period of the node is analyzed to obtain the power consumption index of the node in each time period, including:

[0090] S201: segmenting the power consumption time series curve of the node using an adaptive segmentation algorithm to obtain multiple time periods of the node.

[0091] In order to analyze the power consumption index of each node in each time period, the adaptive segmentation algorithm (APCA, Adaptive Principal Component Analysis) is first used to segment the power consumption time series curve corresponding to each node to obtain multiple time periods corresponding to each node, such as Figure 3 As shown ( Figure 3 is a schematic diagram of a power consumption timing curve segment in this embodiment, Figure 3 The horizontal axis is time, and the vertical axis is power consumption). Among them, APCA is a prior art and will not be described in detail here.

[0092] S202: Analyze the difference between the power generation and power consumption of the node at each moment, and obtain the power supply and consumption difference index of the node at each moment.

[0093] Analyze the difference between the power generation and power consumption of the node at each moment, that is, calculate the difference between the power generation and power consumption of the node at each moment, and obtain the power supply and consumption difference index of the node at each moment. That is, the calculation formula of the power supply and consumption difference index of the node at each moment is:

[0094] d i =Pg i -Pc i ;

[0095] Where, d i Pg represents the power supply and consumption difference index at the i-th moment; i represents the power generation at the i-th moment; Pc i represents the power consumption at the i-th moment.

[0096] S203: Analyze the fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node, and obtain the power consumption index of the node in each time period.

[0097] Due to the differences in electricity consumption behaviors of users in different time periods, the power consumption is unstable; and the power generation of natural resources is greatly affected by the weather, and the power generation is also unstable, which causes the power supply and consumption difference index of a certain node to fluctuate in different time periods. Therefore, taking a single node as an example, combined with the fluctuation of its power supply and consumption difference index in different time periods, the power consumption index of the node in the corresponding time period is analyzed. That is, this embodiment obtains the power consumption index of the node in each time period by analyzing the fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node. Obtaining the power consumption index of the node in each time period further includes: calculating the mean of the power supply and consumption difference index corresponding to all moments in each time period of the node to obtain the intra-segment power supply and consumption difference index of the node in each time period, calculating the mean of the intra-segment power supply and consumption difference index of all time periods of the node to obtain the overall power supply and consumption difference index of the node; analyzing the consistency of the power supply and consumption difference index corresponding to all moments in each time period of the node and the corresponding intra-segment power supply and consumption difference index to obtain the consistency of the power supply and consumption difference index of the node in each time period; analyzing the degree of difference between the intra-segment power supply and consumption difference index of the node in each time period and the overall power supply and consumption difference index of the node to obtain the difference degree of the power supply and consumption difference index of the node in each time period; combining the consistency of the power supply and consumption difference index and the difference degree of the power supply and consumption difference index to obtain the power consumption index of the node in each time period.

[0098] The calculation formula for building the power consumption index of the node in each time period is:

[0099]

[0100] In the formula, u j,k represents the power consumption index of the kth node in the jth time period; d i,j,k represents the power supply and consumption difference index of the kth node at the i-th moment in the j-th time period; represents the mean value of the power supply and consumption difference index of the kth node at all times in the jth time period; Represents the mean value of the power supply and consumption difference index at all times in the power consumption time series curve of the kth node; I j Represents the number of data points of the kth node in the jth time period; 0.1 is added to prevent the denominator from being 0.

[0101] Indicates the consistency of the power supply and consumption difference index of the kth node in the jth time period. The smaller the value, the better the consistency of the power supply and consumption difference index, which means that the power consumption in this time period is more stable, and the corresponding power consumption index of the node in this time period is larger; It indicates the difference between the kth node and the overall power consumption of the node in the jth time period. The larger the value, the greater the difference, which means that the node has a stronger ability to maintain its own power demand, and the corresponding power consumption index of the node in the time period is greater.

[0102] Traverse all nodes and obtain the power consumption index u of each time period corresponding to all nodes j,k .

[0103] S300: Analyze the stability of the power consumption index of the node in each time period, and analyze the difference in power consumption index and power transmission distance between different nodes to obtain the influence index of the node on the stability of the distribution network.

[0104] Due to the randomness of individual electricity consumption behavior, it is difficult to accurately predict the load situation of the distribution network; and due to the incorporation of new energy power generation, the load fluctuations of the distribution network have intensified. For example, there are some users with independent photovoltaic power generation devices, and the individual power generation needs to be converted by the inverter and transmitted to the distribution network, and then transmitted back to the individual user through the distribution network for use; in addition, since power generation through natural resources is greatly affected by the weather and the power generation is unstable, there may be a situation where the power generation of an individual electricity user exceeds the power consumption. Therefore, the method of self-generation and self-use and surplus power access to the grid is often adopted, that is, the excess power generated is sent to the distribution network, and then distributed by the distribution network to users with higher power consumption, thereby reducing the pressure on the distribution network.

[0105] Due to differences in individual power generation capabilities (for example, photovoltaic power generation: due to differences in terrain and the angles at which photovoltaic panels are installed, different individuals receive different intensities of solar radiation, and different individuals are equipped with photovoltaic panels to different degrees) and differences in power transmission distances (the longer the transmission distance, the greater the power transmission loss), there are individual differences in specific electricity consumption situations, and therefore different nodes have different degrees of influence on the stability of the distribution network.

[0106] Based on the above analysis, this embodiment analyzes the stability of the power consumption index of the node in each time period, and analyzes the power consumption index difference and power transmission distance difference between different nodes to obtain the influence index of the node on the stability of the distribution network.

[0107] See also Figure 4 , which shows the basic process of a method for analyzing the impact index of a node on the stability of a distribution network in this embodiment.

[0108] like Figure 4 As shown in the figure, the stability of the power consumption index of the node in each time period is analyzed, and the difference in power consumption index and power transmission distance between different nodes is analyzed to obtain the influence index of the node on the stability of the distribution network, including:

[0109] S301: Analyze the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period to obtain the power consumption stability index of the node.

[0110] Analyze the stability of the node's electricity consumption index in each time period relative to its own historical electricity consumption index in the same time period to obtain the node's electricity consumption stability index, further including: calculating the variance of the node's electricity consumption index in each time period relative to its own historical electricity consumption index in the same time period to obtain the volatility of the node's electricity consumption index in each time period; based on the volatility, obtain the node's electricity consumption stability index.

[0111] The calculation formula for the power consumption stability index of the construction node is:

[0112]

[0113] In the formula, δ k represents the power consumption stability index of the kth node, u j,k,s represents the variance of the power consumption index of the kth node in the jth time period and the same time period in its historical cycle. In this embodiment, the power supply and consumption data of the same time period in each power consumption cycle in the past week are selected; J k Indicates the number of time periods into which a power consumption cycle of the kth node is divided; adding 0.1 is to prevent the denominator from being 0.

[0114] u j,k,s Indicates the volatility of the power consumption index of the kth node in each time period. The greater the volatility, the smaller the corresponding power consumption stability index of the node; It represents the sum of the variances of the power consumption index corresponding to all time periods in a power consumption cycle of the kth node, that is, the sum of the volatility of the power consumption index of the kth node in each time period. The larger the value, the more unstable the power consumption of the current node, and the smaller the corresponding power consumption stability index of the node.

[0115] S302: Calculate the ratio of the average power consumption index of the node in all time periods to the average power consumption index of all nodes to obtain the power consumption index difference of the node.

[0116] The ratio of the average power consumption index of the node in all time periods to the average power consumption index of all nodes is calculated to obtain the power consumption index difference of the node. The average power consumption index of all nodes is calculated by calculating the average power consumption index of each node in all time periods, then traversing all nodes and averaging them to obtain the average power consumption index of all nodes.

[0117] S303: Calculate the ratio of the power transmission distance of the node to the average power transmission distance of all nodes to obtain the power transmission distance difference of the node.

[0118] S304: Combining the power consumption index difference, the power transmission distance difference and the power consumption stability index, an influence index of the node on the stability of the distribution network is obtained.

[0119] The stronger and more stable the power supply capacity of a single node is relative to the rest of the distribution network nodes, the stronger its ability to maintain its own power consumption is, the stronger its ability to share the pressure of the distribution network is, and the greater its contribution to the stability of the distribution network is; the farther the power transmission distance is than the rest of the nodes, the greater the degree of power loss is, the greater the possibility of instability is, and the smaller the contribution to the stability of the distribution network is. Therefore, this embodiment combines the power consumption index difference, the power transmission distance difference and the power consumption stability index to obtain the influence index of the node on the stability of the distribution network.

[0120] The calculation formula for the impact index of a single node on the stability of the distribution network is:

[0121]

[0122] In the formula, v k represents the influence index of the kth node on the stability of the distribution network; δ k represents the power consumption stability index of the kth node; Represents the average value of the power consumption index in each time period corresponding to the kth node; represents the average power consumption index of all nodes; s k represents the power transmission distance of the kth node; Represents the mean power transmission distance of all nodes; 0.1 is added to prevent the denominator from being zero.

[0123] The power stability index δ of the kth node k The larger the value is, the higher the stability of the node's power consumption index is, and the greater the impact index of the node on the stability of the distribution network is. Indicates the difference in power consumption index between the kth node and the rest of the nodes. The larger the value, the higher the average power consumption index of each time period corresponding to the kth node. The larger it is, and the smaller the average power consumption index of all nodes is, the stronger the power supply capacity of the node is relative to the rest of the distribution network nodes, and the greater the corresponding impact index of the node on the stability of the distribution network. It represents the difference between the power transmission distance of the kth node and the other nodes. The larger the value, the smaller the power transmission distance s corresponding to the kth node. k The larger the value, the greater the average power transmission distance of all nodes. The smaller it is, the greater the power transmission distance of the node relative to the rest of the distribution network nodes, which means the greater the possibility of instability, and the smaller the impact index of the node on the stability of the distribution network.

[0124] Traverse all nodes and get their corresponding v k, normalize it to [-1,1], and record the normalized impact index as V k .

[0125] S400: Combining the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network, the demand index of the node for power regulation of the distribution network at the current moment is obtained.

[0126] The electricity of individual electricity users is coordinated by their own power supply system and the distribution network. When the individual power supply is greater than the power consumption, the excess electricity will be transmitted to the distribution network for storage. When the individual power supply is less than the power consumption, the distribution network will transmit electricity to the individual electricity user. In order to maintain the stability of the distribution network operation and effectively allocate power resources, it is necessary to analyze the degree of need for power regulation of the distribution network at the corresponding time based on the power supply and consumption differences of each node at different times.

[0127] Since natural resources are highly uncertain and users' electricity consumption behavior is random, there are differences in electricity consumption at different nodes at different stages. If the electricity consumption in the current time period is relatively stable, the need for power regulation of the distribution network is relatively small. If there is a sudden change in electricity consumption in the current time period and the stability is poor, the greater the impact index of the corresponding node on the stability of the distribution network, the greater the need for power regulation.

[0128] Therefore, the node's demand index for power regulation of the distribution network at the current moment is obtained by combining the node's power consumption index in each time period and the node's influence index on the stability of the distribution network. Further, the difference in power consumption index between the node's current time period and the previous time period is analyzed, and the node's influence index on the stability of the distribution network and the power supply and consumption difference index corresponding to the node at the current moment are combined to obtain the node's demand index for power regulation of the distribution network at the current moment.

[0129] The calculation formula for constructing the node's demand index for power regulation of the distribution network at the current moment is:

[0130]

[0131] In the formula, q i,k represents the demand index of the kth node for power regulation of the distribution network at the i-th moment; t i,j,k represents the duration of the jth time period of the kth node at the i-th time; u j′ represents the power consumption index of the kth node in the j'th time period before the i-th time; u i,j,k represents the power consumption index of the kth node in the jth time period at the i-th time; d i,k represents the difference in power supply and consumption of the kth node at the i-th moment; V k represents the normalized influence index of the kth node on the stability of the distribution network; nj′ Represents the number of all time periods before the ith moment in the power consumption cycle of the kth node; adding 0.1 is to prevent the denominator from being 0.

[0132] The length of the jth time period at the i-th moment is t i,j,k The shorter the time, the more unstable the power consumption in this time period is, and the greater the demand index for power regulation of the distribution network at that moment is; the power supply and consumption difference d at the i-th moment i,k The smaller the value, the worse the power supply capacity is at that moment, and the greater the demand index for power regulation of the distribution network is at that moment; It represents the difference between the power consumption index of the time period at the i-th moment and the previous time period in the cycle. The larger the value, the more abnormal the power consumption at that moment, and the greater the demand index for power regulation of the distribution network at that moment. The normalized influence index V of the node on the stability of the distribution network k As the weight, the larger the value, the stronger and more stable the power supply capacity of the node, and the stronger its ability to maintain its own power consumption. The corresponding demand index of the node for power regulation of the distribution network at the i-th moment is smaller.

[0133] Traverse all nodes and obtain the q of each node at the corresponding time i,k .

[0134] S500: Obtaining a droop control coefficient adjustment index of a node according to a demand index, and completing adjustment of the droop control coefficient of the node based on the droop control coefficient adjustment index of the node.

[0135] Droop control is a common means to maintain voltage stability. The output power of the inverter is usually adjusted based on the load conditions of each node in different time periods. Therefore, based on the demand index of the distribution network power regulation of different nodes at the current moment obtained above, the droop control coefficient adjustment index required by different nodes at the current moment is obtained. That is, the greater the demand index for distribution network power regulation at the current moment, the more unstable the distribution network state at the current moment, and the greater the droop control coefficient required by the corresponding node.

[0136] Further, based on the demand index, the droop control coefficient adjustment index of the node is obtained, including: based on the demand index, analyzing the stability of the distribution network state of the node at the current moment; based on the demand index, analyzing the demand index difference between the node and other nodes; based on the stability and demand index difference, obtaining the droop control coefficient adjustment index of the node. Further, based on the demand index, the stability of the distribution network state of the node at the current moment is analyzed, including: obtaining the maximum value of the demand index of all nodes for the power regulation of the distribution network at the current moment; calculating the mean value of the demand index of all nodes for the power regulation of the distribution network at the current moment; analyzing the difference between the maximum value of the demand index and the mean value of the demand index to obtain the stability of the distribution network state of the node at the current moment.

[0137] The calculation formula for the droop control coefficient adjustment index of the construction node is:

[0138]

[0139] In the formula, p i,k represents the droop control coefficient adjustment index of the kth node at the current i-th moment; q i,k represents the demand index of the kth node for power regulation of the distribution network at the current i-th moment; q i,max It represents the maximum value of the demand index of each node for power regulation of the distribution network at the current i-th moment; It represents the mean value of the demand index of each node for power regulation of the distribution network at the current i-th moment; adding 0.1 is to prevent the denominator from being 0.

[0140] Indicates the stability of the distribution network state at the current i-th moment. The larger its value is, the more unstable the state of the entire distribution network is at the current i-th moment, and the larger the droop control coefficient adjustment index at the corresponding moment is; It indicates the difference in demand index between the current node and other nodes for power regulation of the distribution network. The larger the value, the more abnormal the demand index of the current node for power regulation of the distribution network is, and the larger the corresponding droop control coefficient adjustment index of the current node is.

[0141] Traverse all nodes and get the p of all nodes i,k , normalize it to [-1,1], and record the normalized droop control coefficient adjustment index as P i,k .

[0142] Based on the obtained droop control coefficient adjustment index of the kth node at the current moment, the droop control coefficient corresponding to the node at the current moment is analyzed. The droop control coefficient corresponding to the node at the current moment is:

[0143] α i,k =α′×(1+P i,k );

[0144] In the formula, α i,k represents the droop control coefficient of the kth node after adjustment at the i-th moment; α′ represents the droop control coefficient of the kth node before adjustment at the i-th moment; P i,k It represents the normalized droop control coefficient adjustment index of the kth node at the current i-th moment. That is, α′×P is added to the original droop control coefficient. i,k , and get the adjusted droop control coefficient.

[0145] Traverse all nodes, obtain the adjusted droop control coefficient corresponding to each node in the current state, and adjust the droop control coefficient, that is, adjust the output power of the inverter according to the adjusted droop control coefficient, so as to maintain the stable operation of the rural power system and improve its operation quality.

[0146] Based on the same inventive concept as the above method, the second embodiment of the present invention relates to an electric power balancing device for a new rural power system, comprising:

[0147] The power monitoring module is used to collect the power generation, power consumption and power transmission distance at each node, and draw a power consumption time series curve according to the power generation and power consumption at each node;

[0148] A power consumption index analysis module, used to segment the power consumption time series curve into multiple time periods, analyze the fluctuation of the difference between the power generation power and the power consumption power corresponding to the node in each time period, and obtain the power consumption index of the node in each time period;

[0149] The impact index analysis module is used to analyze the stability of the power consumption index of the node in each time period, and analyze the difference in power consumption index and power transmission distance between different nodes to obtain the impact index of the node on the stability of the distribution network;

[0150] A demand index analysis module, used to combine the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network to obtain the demand index of the node for power regulation of the distribution network at the current moment;

[0151] The droop control coefficient adjustment module is used to obtain the droop control coefficient adjustment index of the node according to the demand index, and complete the adjustment of the droop control coefficient of the node based on the droop control coefficient adjustment index of the node.

[0152] The electricity consumption index analysis module includes:

[0153] A segmentation unit, used to segment the power consumption timing curve of the node using an adaptive segmentation algorithm to obtain multiple time periods of the node;

[0154] A first analysis unit, configured to analyze the difference between the power generation and the power consumption corresponding to the node at each time, and obtain a power supply and consumption difference index of the node at each time;

[0155] The second analysis unit is used to analyze the fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node, and obtain the power consumption index of the node in each time period.

[0156] The second analysis unit comprises:

[0157] A calculation subunit, configured to calculate the mean of the power supply and consumption difference index corresponding to all moments in each time period of the node, obtain the intra-segment power supply and consumption difference index of each time period of the node, calculate the mean of the intra-segment power supply and consumption difference index of all time periods of the node, and obtain the overall power supply and consumption difference index of the node;

[0158] A consistency analysis subunit, used to analyze the consistency of the power supply and consumption difference index corresponding to all moments in each time period of the node and the corresponding intra-segment power supply and consumption difference index, to obtain the consistency of the power supply and consumption difference index in each time period of the node;

[0159] The difference degree analysis subunit is used to analyze the difference between the intra-segment power supply and consumption difference index of the node in each time period and the overall power supply and consumption difference index of the node, and obtain the difference degree of the power supply and consumption difference index of each time period of the node;

[0160] The power consumption index acquisition subunit is used to obtain the power consumption index of the node in each time period by combining the consistency of the power supply and consumption difference index and the difference degree of the power supply and consumption difference index.

[0161] The impact index analysis module includes:

[0162] A power consumption stability index analysis unit, used to analyze the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period, to obtain the power consumption stability index of the node;

[0163] A first ratio calculation unit, used to calculate the ratio of the average power consumption index of the node in all time periods to the average power consumption index of all nodes, to obtain the power consumption index difference of the node;

[0164] A second ratio calculation unit, configured to calculate a ratio of the power transmission distance of the node to an average of the power transmission distances of all the nodes, to obtain a power transmission distance difference of the node;

[0165] The influence index acquisition unit is used to obtain the influence index of the node on the stability of the distribution network by combining the power consumption index difference of the node, the power transmission distance difference and the power consumption stability index.

[0166] The power consumption stability index analysis unit comprises:

[0167] A variance calculation subunit, used to calculate the variance of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period, so as to obtain the volatility of the power consumption index of the node in each time period;

[0168] The power consumption stability index determination subunit is used to obtain the power consumption stability index of the node according to the volatility of the power consumption index of the node in each time period.

[0169] The demand index analysis module is used to determine the time period at the current moment, analyze the difference in power consumption index between the current time period and the previous time period of the node, and combine the impact index of the node on the stability of the distribution network and the power supply and consumption difference index corresponding to the node at the current moment to obtain the demand index of the node for power regulation of the distribution network at the current moment.

[0170] The droop control coefficient adjustment module includes:

[0171] A stability analysis unit, configured to analyze the stability of the distribution network state of the node at a current moment based on the demand index;

[0172] A demand index difference analysis unit, configured to analyze a demand index difference between the node and other nodes based on the demand index;

[0173] The droop control coefficient adjustment index determination unit is used to obtain the droop control coefficient adjustment index of the node according to the stability degree and the demand index difference.

[0174] The stability analysis unit comprises:

[0175] An acquisition subunit is used to obtain the maximum value of the demand index of all nodes for power regulation of the distribution network at the current moment;

[0176] The mean value calculation subunit is used to calculate the mean value of the demand index of all nodes for power regulation of the distribution network at the current moment;

[0177] The analysis subunit is used to analyze the difference between the maximum value of the demand index and the mean value of the demand index to obtain the stability of the distribution network state of the node at the current moment.

[0178] A third embodiment of the present invention relates to an electronic device, such as Figure 5 As shown, it includes a memory 10, a processor 20, and a computer program stored in the memory and executable on the processor. The processor 20 is used to read the computer program stored in the memory 10 and execute the steps of the power and electricity balancing method for a new rural power system of the first embodiment.

[0179] Furthermore, the processor 20 includes a power monitoring module 21, a power consumption index analysis module 22, an impact index analysis module 23, a demand index analysis module 24 and a droop control coefficient adjustment module 25. Among them:

[0180] The power monitoring module 21 is used to collect the power generation, power consumption and power transmission distance at each node, and draw a power consumption time series curve according to the power generation and power consumption at each node;

[0181] The power consumption index analysis module 22 is used to segment the power consumption time series curve into multiple time periods, analyze the fluctuation of the difference between the power generation power and the power consumption power corresponding to the node in each time period, and obtain the power consumption index of the node in each time period;

[0182] The impact index analysis module 23 is used to analyze the stability of the power consumption index of the node in each time period, and analyze the difference in power consumption index and power transmission distance between different nodes to obtain the impact index of the node on the stability of the distribution network;

[0183] The demand index analysis module 24 is used to combine the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network to obtain the demand index of the node for power regulation of the distribution network at the current moment;

[0184] The droop control coefficient adjustment module 25 is used to obtain the droop control coefficient adjustment index of the node according to the demand index, and complete the adjustment of the droop control coefficient of the node based on the droop control coefficient adjustment index of the node.

[0185] The fourth embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the power and quantity balancing method for a new rural power system of the first embodiment are implemented.

[0186] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

[0187] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0188] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction method, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0189] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0190] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for balancing electric power in a new rural power system, characterized in that: The following steps are involved: Collecting the power generation, power consumption and power transmission distance at each node, and drawing a power consumption time series curve according to the power generation and power consumption at each node; The power consumption time series curve is segmented to obtain a plurality of time periods, and the fluctuation of the difference between the power generation power and the power consumption power corresponding to the node in each time period is analyzed to obtain the power consumption index of the node in each time period; Analyze the stability of the power consumption index of the node in each time period, and analyze the difference in power consumption index and power transmission distance between different nodes to obtain the influence index of the node on the stability of the distribution network; Combining the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network, obtaining the demand index of the node for power regulation of the distribution network at the current moment; According to the demand index, a droop control coefficient adjustment index of the node is obtained, and the droop control coefficient of the node is adjusted based on the droop control coefficient adjustment index of the node.

2. The electric power balance method for a new rural power system according to claim 1 is characterized in that: The step of segmenting the power consumption time series curve to obtain a plurality of time periods, analyzing the fluctuation of the difference between the power generation power and the power consumption power corresponding to each time period of the node, and obtaining the power consumption index of the node in each time period specifically includes: Using an adaptive segmentation algorithm, segmenting the power consumption timing curve of the node to obtain multiple time periods of the node; Analyze the difference between the power generation power and the power consumption power corresponding to the node at each time, and obtain the power supply and consumption difference index of the node at each time; The fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node is analyzed to obtain the power consumption index of the node in each time period.

3. The electric power and quantity balancing method for a new rural electric power system according to claim 2 is characterized in that: The analyzing the fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node to obtain the power consumption index of the node in each time period specifically includes: Calculate the mean of the power supply and consumption difference index corresponding to all moments in each time period of the node to obtain the intra-segment power supply and consumption difference index of each time period of the node, calculate the mean of the intra-segment power supply and consumption difference index of all time periods of the node to obtain the overall power supply and consumption difference index of the node; Analyzing the consistency of the power supply and consumption difference index corresponding to all moments in each time period of the node and the corresponding intra-segment power supply and consumption difference index to obtain the consistency of the power supply and consumption difference index in each time period of the node; Analyze the difference between the intra-segment power supply and consumption difference index of the node in each time period and the overall power supply and consumption difference index of the node to obtain the difference degree of the power supply and consumption difference index of each time period of the node; The power consumption index of the node in each time period is obtained by combining the consistency of the power supply and consumption difference index and the difference degree of the power supply and consumption difference index.

4. The electric power and quantity balancing method for a new rural electric power system according to claim 1 is characterized in that: The analysis of the stability of the power consumption index of the node in each time period, and the analysis of the power consumption index differences and power transmission distance differences between different nodes, to obtain the influence index of the node on the stability of the distribution network, specifically includes: Analyze the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period to obtain the power consumption stability index of the node; Calculate the ratio of the average power consumption index of the node in all time periods to the average power consumption index of all nodes to obtain the power consumption index difference of the node; Calculating a ratio of the power transmission distance of the node to an average of the power transmission distances of all the nodes to obtain a power transmission distance difference of the node; The influence index of the node on the stability of the distribution network is obtained by combining the power consumption index difference of the node, the power transmission distance difference and the power consumption stability index.

5. The electric power and quantity balancing method for a new rural electric power system according to claim 4 is characterized in that: The analyzing the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period to obtain the power consumption stability index of the node specifically includes: Calculate the variance of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period to obtain the volatility of the power consumption index of the node in each time period; The power consumption stability index of the node is obtained according to the volatility of the power consumption index of the node in each time period.

6. The electric power and quantity balancing method for a new rural electric power system according to claim 2 is characterized in that: The combining the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network to obtain the demand index of the node for power regulation of the distribution network at the current moment specifically includes: Determine the time period in which the current moment is located, analyze the difference in power consumption index between the current time period and the previous time period of the node, combine the impact index of the node on the stability of the distribution network and the power supply and consumption difference index corresponding to the node at the current moment, and obtain the demand index of the node for power regulation of the distribution network at the current moment.

7. The electric power and quantity balancing method for a new rural electric power system according to claim 1 is characterized in that: The step of obtaining the droop control coefficient adjustment index of the node according to the demand index specifically includes: Based on the demand index, analyzing the stability of the power distribution network state of the node at the current moment; Based on the demand index, analyzing the demand index difference between the node and other nodes; According to the stability degree and the demand index difference, a droop control coefficient adjustment index of the node is obtained.

8. The electric power and quantity balancing method for a new rural electric power system according to claim 7 is characterized in that: The analyzing the stability of the distribution network state of the node at the current moment based on the demand index specifically includes: Obtain the maximum value of the demand index of all nodes for power regulation of the distribution network at the current moment; Calculate the average value of the demand index of all nodes for power regulation of the distribution network at the current moment; The difference between the maximum value of the demand index and the mean value of the demand index is analyzed to obtain the stability of the power distribution network state of the node at the current moment.

9. An electric power balancing device for a new rural electric power system, characterized in that: include: The power monitoring module is used to collect the power generation, power consumption and power transmission distance at each node, and draw a power consumption time series curve according to the power generation and power consumption at each node; A power consumption index analysis module, used to segment the power consumption time series curve into multiple time periods, analyze the fluctuation of the difference between the power generation power and the power consumption power corresponding to the node in each time period, and obtain the power consumption index of the node in each time period; The impact index analysis module is used to analyze the stability of the power consumption index of the node in each time period, and analyze the difference in power consumption index and power transmission distance between different nodes to obtain the impact index of the node on the stability of the distribution network; A demand index analysis module, used to combine the power consumption index of the node in each time period and the influence index of the node on the stability of the distribution network to obtain the demand index of the node for power regulation of the distribution network at the current moment; The droop control coefficient adjustment module is used to obtain the droop control coefficient adjustment index of the node according to the demand index, and complete the adjustment of the droop control coefficient of the node based on the droop control coefficient adjustment index of the node.

10. The electric power and quantity balancing device for a new rural electric power system according to claim 9, characterized in that: The electricity consumption index analysis module includes: A segmentation unit, used to segment the power consumption timing curve of the node using an adaptive segmentation algorithm to obtain multiple time periods of the node; A first analysis unit, configured to analyze the difference between the power generation and the power consumption corresponding to the node at each time, and obtain a power supply and consumption difference index of the node at each time; The second analysis unit is used to analyze the fluctuation of the power supply and consumption difference index corresponding to all moments in each time period of the node, and obtain the power consumption index of the node in each time period.

11. The electric power and quantity balancing device for a new rural electric power system according to claim 10, characterized in that: The second analysis unit comprises: A calculation subunit, configured to calculate the mean of the power supply and consumption difference index corresponding to all moments in each time period of the node, obtain the intra-segment power supply and consumption difference index of each time period of the node, calculate the mean of the intra-segment power supply and consumption difference index of all time periods of the node, and obtain the overall power supply and consumption difference index of the node; A consistency analysis subunit, used to analyze the consistency of the power supply and consumption difference index corresponding to all moments in each time period of the node and the corresponding intra-segment power supply and consumption difference index, to obtain the consistency of the power supply and consumption difference index in each time period of the node; The difference degree analysis subunit is used to analyze the difference between the intra-segment power supply and consumption difference index of the node in each time period and the overall power supply and consumption difference index of the node, and obtain the difference degree of the power supply and consumption difference index of each time period of the node; The power consumption index acquisition subunit is used to obtain the power consumption index of the node in each time period by combining the consistency of the power supply and consumption difference index and the difference degree of the power supply and consumption difference index.

12. The electric power balancing device for a new rural electric power system according to claim 9, characterized in that: The impact index analysis module includes: A power consumption stability index analysis unit, used to analyze the stability of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period, to obtain the power consumption stability index of the node; A first ratio calculation unit, used to calculate the ratio of the average power consumption index of the node in all time periods to the average power consumption index of all nodes, to obtain the power consumption index difference of the node; A second ratio calculation unit, configured to calculate a ratio of the power transmission distance of the node to an average of the power transmission distances of all the nodes, to obtain a power transmission distance difference of the node; The influence index acquisition unit is used to obtain the influence index of the node on the stability of the distribution network by combining the power consumption index difference of the node, the power transmission distance difference and the power consumption stability index.

13. The electric power and quantity balancing device for a new rural electric power system according to claim 12, characterized in that: The power consumption stability index analysis unit comprises: A variance calculation subunit, used to calculate the variance of the power consumption index of the node in each time period relative to its own historical power consumption index in the same time period, so as to obtain the volatility of the power consumption index of the node in each time period; The power consumption stability index determination subunit is used to obtain the power consumption stability index of the node according to the volatility of the power consumption index of the node in each time period.

14. The electric power and quantity balancing device for a new rural electric power system according to claim 10, characterized in that: The demand index analysis module is used to determine the time period at the current moment, analyze the difference in power consumption index between the current time period and the previous time period of the node, and combine the impact index of the node on the stability of the distribution network and the power supply and consumption difference index corresponding to the node at the current moment to obtain the demand index of the node for power regulation of the distribution network at the current moment.

15. The electric power balancing device for a new rural electric power system according to claim 9, characterized in that: The droop control coefficient adjustment module includes: A stability analysis unit, configured to analyze the stability of the distribution network state of the node at a current moment based on the demand index; A demand index difference analysis unit, configured to analyze a demand index difference between the node and other nodes based on the demand index; The droop control coefficient adjustment index determination unit is used to obtain the droop control coefficient adjustment index of the node according to the stability degree and the demand index difference.

16. The electric power and quantity balancing device for a new rural electric power system according to claim 15, characterized in that: The stability analysis unit comprises: An acquisition subunit is used to obtain the maximum value of the demand index of all nodes for power regulation of the distribution network at the current moment; The mean value calculation subunit is used to calculate the mean value of the demand index of all nodes for power regulation of the distribution network at the current moment; The analysis subunit is used to analyze the difference between the maximum value of the demand index and the mean value of the demand index to obtain the stability of the distribution network state of the node at the current moment.

17. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the power balancing method for a new rural power system as described in any one of claims 1-8 are implemented.

18. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the power and quantity balancing method for a new rural power system as claimed in any one of claims 1 to 8 are implemented.

Images