Voltage out-of-limit analysis method
By acquiring historical data on voltage, power generation, power consumption, and electricity usage, combined with environmental and climate data, power supply areas are divided and energy storage and switching units are configured. Voltage trends are predicted and selective management is implemented, which solves the problem of voltage exceeding limits in the distribution network, achieves accurate prediction and efficient management, adapts to seasonal and environmental changes, and improves voltage quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-25
- Publication Date
- 2026-03-13
AI Technical Summary
Voltage exceeding limits in power distribution networks is difficult to manage effectively, especially in hydropower or wind power transmission networks in sparsely populated and remote areas where seasonal changes and environmental factors have a significant impact, causing voltage quality sensitive equipment to malfunction or even be damaged.
By acquiring historical data on voltage, power generation, power consumption, and electricity usage, and combining this with environmental and climate data, power supply areas are divided and energy storage and switching units are configured. Voltage trends are predicted and selective governance strategies are implemented, including energy storage or switching of power supply areas, and power supply lines are optimized.
It enables accurate prediction and efficient management of voltage over-limits, reduces equipment damage, improves voltage quality, adapts to seasonal and environmental changes, and has the advantages of being simple, practical, safe and efficient.
Smart Images
Figure CN121663551A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power distribution networks, and in particular to a method for voltage over-limit analysis. Background Technology
[0002] Voltage exceeding limits in a distribution network refers to a voltage exceeding the permissible voltage range. A voltage below the permissible range is considered exceeding the lower limit, while a voltage above the permissible range is considered exceeding the upper limit. There are many reasons for voltage exceeding limits, such as an excessively long power supply radius or excessive line losses, which can cause a voltage exceeding the lower limit; and fluctuations in power generation due to seasonal factors, such as wind and hydropower, which can cause a voltage exceeding the upper limit. Voltage exceeding limits can cause voltage-sensitive household appliances, such as air conditioners and computers, to malfunction or even be damaged.
[0003] In some areas, due to low population density and remoteness, the power grid distribution lines have long power supply radii and dispersed loads. Furthermore, local environmental factors make the power grid a typical hydropower or wind power transmission type. Seasonal water or monsoons affect the output of generating units, resulting in prominent issues of power grid exceeding limits, which are difficult to manage. Summary of the Invention
[0004] The purpose of this invention is to provide a voltage over-limit analysis method to address the shortcomings of existing technologies.
[0005] To achieve the above objectives, the technical solution adopted by this invention is: a voltage over-limit analysis method, comprising the following steps: S100: Obtain historical voltage data information for the distribution network over a related time period; S200: Obtain historical power generation data, historical power consumption data, and historical power usage data of the power supply unit of the distribution network for the associated time period. S300. The power distribution network is divided into multiple power supply areas, and energy storage units are configured in each power supply area. Switching units are configured between the multiple power supply areas. S400. Based on the voltage history data, power generation history data, power consumption history data, power usage history data, and time information, analyze and predict the voltage trend information of the distribution network. S500: Based on the voltage trend information, store or discharge electricity through the energy storage unit, or supply power by switching the power supply area.
[0006] Based on the above, in step S100, historical environmental and climate data information is also acquired, and the correlation and influence information between the historical environmental and climate data information and the historical voltage data information is analyzed and acquired.
[0007] Based on the above, in step S200, the power generation units in the distribution network and the power generation history data information of each power generation unit are obtained. Based on the obtained environmental and climate history data information, the correlation and influence information between the environmental and climate history data information and the power generation history data information of each power generation unit is analyzed and obtained.
[0008] Based on the above, in step S300, the power distribution network is divided into multiple power supply areas, power supply lines are configured between the multiple power supply areas, and switching units for switching power supply lines are configured between the multiple power supply areas.
[0009] Based on the above, in step S400, real-time environmental climate information and environmental climate change trend information are also obtained. Based on the voltage historical data information, power generation historical data information, power consumption historical data information, power usage historical data information, real-time environmental climate information and environmental climate change trend information and time information, the voltage trend information of the distribution network is analyzed and predicted. Based on the voltage trend information, the voltage limit exceeding information in the future is analyzed and judged.
[0010] Based on the above, in step S500, a selective over-limit management strategy is configured, and selective management is performed according to the voltage trend information and the voltage over-limit information within a certain period of time in the future.
[0011] Based on the above, if the voltage trend information is analyzed and it is determined that the voltage will exceed the upper limit in the future, the energy storage unit will be prioritized for energy storage; secondly, the switching unit will switch to the farthest power supply line to supply power to the farthest power supply area.
[0012] Based on the above, if the voltage trend information is analyzed and it is determined that the voltage will fall below the lower limit in the future, the nearest power supply line will be switched first through the switching unit to supply power to the nearest power supply area; secondly, the energy storage unit will be used for auxiliary discharge.
[0013] This invention has outstanding substantive features and significant progress compared to the prior art. Specifically, by analyzing historical voltage data, historical power generation data, and the time and environmental climate, this invention obtains the influence relationship between seasonal time and environmental climate on voltage and power generation. Based on the actual seasonal information and environmental climate data, it can obtain the changing trends of power generation and voltage, thereby enabling early warning and corresponding selective management based on the changing trends. It has the advantages of being simple, practical, safe, and efficient. Attached Figure Description
[0014] Figure 1 This is a schematic block diagram illustrating the process structure of the present invention. Detailed Implementation
[0015] The technical solution of the present invention will be further described in detail below through specific embodiments.
[0016] like Figure 1 As shown, a voltage over-limit analysis method includes the following steps: S100, acquiring historical voltage data information of the distribution network over a related time period; S200, acquiring historical power generation data information, historical power consumption data information, and historical power usage data information of the power supply units of the distribution network over a related time period; S300, dividing the distribution network into multiple power supply areas, configuring energy storage units within each power supply area, and configuring switching units between the multiple power supply areas; S400, analyzing and predicting the voltage trend information of the distribution network based on the historical voltage data information, historical power generation data information, historical power consumption data information, historical power usage data information, and time information; S500, storing or discharging electricity through the energy storage units, or transmitting power by switching power supply areas, based on the voltage trend information.
[0017] The system acquires and stores historical voltage data of the distribution network over a given time period. It also acquires and stores historical power generation data of the distribution network's generating units over a given time period, historical power consumption data of lines, and historical power consumption data of the power consumers within the distribution network. This allows for analysis of the distribution network's voltage data based on time patterns, i.e., seasonal factors. In reality, some generating units are significantly affected by seasonality. For example, hydropower generates more power during the rainy season, potentially exceeding the upper limit of voltage, while during the dry season, such as winter, power generation decreases sharply, potentially exceeding the lower limit of voltage. Furthermore, photovoltaic and wind power generating units are geographically dispersed and numerous, and are also easily affected by seasonal factors. Therefore, after analyzing the correlation between power generation and voltage and time periods, the system can analyze and obtain the trends of power generation and voltage changes for the present and a certain future timeframe based on current seasonal factors, thereby determining whether there is any possibility of voltage exceeding the limit in the future.
[0018] Preferably, in reality, environmental climate also affects power generation information, such as rainfall, wind, and weather conditions. Therefore, historical environmental climate data is also acquired, and the correlation between this historical data and the historical voltage data is analyzed and obtained. Simultaneously, historical power generation data of each power generation unit in the distribution network is also acquired. Based on the acquired historical environmental climate data, the correlation between this historical data and the historical power generation data of each power generation unit is analyzed and obtained. Thus, after acquiring real-time environmental climate information and environmental climate change trend information, the voltage trend information of the distribution network is analyzed and predicted based on the historical voltage data, historical power generation data, historical power consumption data, historical power usage data, real-time environmental climate information, environmental climate change trend information, and time information. Furthermore, based on the voltage trend information, the voltage limit exceeding information within a certain period in the future is analyzed and judged, further improving the accuracy of the analysis of voltage limit exceeding information in the distribution network within a certain period in the future.
[0019] In reality, generator sets cannot operate under no-load conditions for extended periods. Taking hydroelectric turbines as an example, when running under no-load or idle conditions, the stability of the turbine generator set is poor, and the vibration is significant. Prolonged operation can damage the turbine generator set, especially the mechanical parts. Therefore, even if the power generation is high and the voltage may exceed the upper limit, the generator set cannot be shut down. Furthermore, since the length of power supply lines significantly affects power consumption, and electricity consumption varies across different regions (e.g., industrial parks consume significantly more electricity than residential areas), this embodiment divides the power distribution network into multiple power supply zones. Power supply lines are configured between these zones, and switching units are installed between them for switching power supply lines.
[0020] After dividing the power distribution network into multiple power supply areas, a storage unit is configured for each power supply area, and power lines are configured between different power supply areas. A switching unit is set up to control the switching of power lines between different power supply areas. The governance method is selectively adjusted based on predicted power generation and voltage change trends. In this embodiment, a selective limit-crossing governance strategy is configured, and selective governance is performed based on the voltage trend information and voltage limit-crossing information within a certain period of time. Specifically, if the voltage trend information analysis determines that the voltage will exceed the upper limit within a certain period of time, the extra electricity is preferentially stored in the storage unit of the power supply area where the power generation unit is located; if the storage unit where the power generation unit is located is full, the power supply line is switched through the switching unit. Based on the voltage change trend and line power consumption information, power is supplied to a more distant power supply area, thereby consuming the power supply through the line. The greater the voltage change trend, the more distant the power supply area is selected for supply. In other embodiments, power supply to areas with high electricity consumption can also be considered, as well as reducing electricity prices to encourage industrial equipment to use electricity (this part may involve commercial aspects and will not be elaborated here). If the voltage trend information is analyzed and it is determined that the voltage will fall below the lower limit within a certain period of time, the nearest power supply line will be switched first through the switching unit to supply power to the nearest power supply area in order to reduce line loss; secondly, the energy storage unit will be used for auxiliary discharge to make up for the problem of insufficient power.
[0021] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them; although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications can still be made to the specific implementation of the present invention or equivalent substitutions can be made to some technical features without departing from the spirit of the technical solutions of the present invention, and all such modifications and substitutions should be covered within the scope of the technical solutions claimed in the present invention.
Claims
1. A voltage over-limit analysis method, characterized in that, Including the following steps: S100: Obtain historical voltage data information for the distribution network over a related time period; S200: Obtain historical power generation data, historical power consumption data, and historical power usage data of the power supply unit of the distribution network for the associated time period. S300. The power distribution network is divided into multiple power supply areas, and energy storage units are configured in each power supply area. Switching units are configured between the multiple power supply areas. S400. Based on the voltage history data, power generation history data, power consumption history data, power usage history data, and time information, analyze and predict the voltage trend information of the distribution network. S500: Based on the voltage trend information, store or discharge electricity through the energy storage unit, or supply power by switching the power supply area.
2. The voltage over-limit analysis method according to claim 1, characterized in that: In step S100, historical environmental and climate data information is also acquired, and the correlation and influence information between the historical environmental and climate data information and the historical voltage data information is analyzed and acquired.
3. The voltage over-limit analysis method according to claim 2, characterized in that: In step S200, the power generation units in the distribution network and the historical power generation data of each power generation unit are obtained. Based on the obtained historical environmental and climate data, the correlation and influence information between the historical environmental and climate data and the historical power generation data of each power generation unit is analyzed and obtained.
4. The voltage over-limit analysis method according to claim 1, characterized in that: In step S300, the power distribution network is divided into multiple power supply areas, power supply lines are configured between the multiple power supply areas, and switching units for switching power supply lines are configured between the multiple power supply areas.
5. The voltage over-limit analysis method according to claim 1, characterized in that: In step S400, real-time environmental climate information and environmental climate change trend information are also acquired. Based on the voltage history data, power generation history data, power consumption history data, power usage history data, real-time environmental climate information, environmental climate change trend information, and time information, the voltage trend information of the distribution network is analyzed and predicted. Based on the voltage trend information, the voltage limit exceeding information in the future is analyzed and judged.
6. The voltage over-limit analysis method according to claim 1, characterized in that: In step S500, a selective over-limit management strategy is configured, and selective management is performed based on the voltage trend information and the voltage over-limit information within a certain future time.
7. The voltage over-limit analysis method according to claim 6, characterized in that: If the voltage trend information is analyzed and it is determined that the voltage will exceed the upper limit within a certain period of time, the energy storage unit will be prioritized for energy storage; then, the switching unit will be used to switch the farthest power supply line to supply power to the farthest power supply area.
8. The voltage over-limit analysis method according to claim 6, characterized in that: If the voltage trend information is analyzed and it is determined that the voltage will fall below the lower limit within a certain period of time, the nearest power supply line will be switched first through the switching unit to supply power to the nearest power supply area; secondly, the energy storage unit will be used for auxiliary discharge.