Developing power grid using a computer-implemented method
Patent Information
- Application Number
- NL2039067
- Authority / Receiving Office
- NL · NL
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-11-13
- Publication Date
- 2026-06-09
- Estimated Expiration
- 2044-11-12
Smart Images
Figure 00000022_0000
Abstract
Description
Field of Invention The present invention relates to the eld ofelectrical power grids, and more particularly to techniques for developing and managing power grids using computer-implemented methods. Background Power grid design is a complex and challenging task that requires expertise in various elds, including electrical engineering, computer science, and mathematics. Traditional methods of power grid development rely heavily on manual processes that are time-consuming, error-prone, and costly. These methods are also limited in their ability to account for the dynamic and unpredictable nature ofpower demand and supply. ln recent years, there have been attempts to develop computer-based tools for power grid design and management. These tools typically use mathematical models and algorithms to simulate the behavior ofthe power grid under different conditions and to optimize its performance. However, these tools are often limited in their ability to accurately predict future power demand and supply, and they may not take into account all the relevant factors that affectpower grid operation. The disadvantages ofthe current state ofthe art are numerous. First, the traditional methods ofpower grid development are slow and ineìcient, requiring signicant resources and time. Second, these methods are prone to errors, which can have serious consequences for the safety and reliability ofthe power grid. Third, they are not well-suited to the dynamic and unpredictable nature ofpower demand and supply, which can lead to suboptimal performance and ineìciencies. my It is therefore an objective of the present invention to provide a computer-implemented method for developing and managing power grids that overcomes the limitations of traditional methods and allows for more accurate and eìcient power grid design and management. According to a rst aspect, there is provided a computer-implemented method for developing a power grid. Apower grid is a network of electrical components that are used to distribute and manage electrical power. The method comprises inputting a rst base load representative for at least aminimum amount of electrical power needed by or provided by one or more different power consumers or generators.A base load is the minimum amount of electrical power that is needed to meet the currentdemand ofapower grid. The method further comprises obtaining at least one measurement representative for at least a portion of a load of the present power grid during a predetermined rst time period. The measurementmay be representative ofthe actual power consumption or generation at a specic point in the power grid. At least one measurement is allocated to one or more power grid components in the power grid. The method further comprises mapping the allocated at least one grid measurement to one or more topology points in the power grid. Topology points are specic points in the power grid where measurements can be taken and used to estimate the state of the power grid. It is also provided that at least one parameter representative for at least one of an expected load, an expected voltage, and an expected power of the power grid during a predetermined second time period is inputted. The second time period is a future time period with respect to the rst time period. The method further comprises adding the at least one parameter to the rst base load to obtain an expected second base load representative for at least a minimum expected amount of electrical power needed for the power grid during the predetermined second time period. It is further provided that a rst estimation is performed based on the expected second base load. The estimation may be used to predict the future state of the power grid and to optimize its performance. Finally, a developing plan for the power grid is determined, wherein in the developing plan at least electric power is apportioned to differentpower consumers and generators during the predetermined second time period based on the rst estimation. One advantage of the method is that it provides a more accurate and efficient method for developing and managing power grids. The method is able to account for the dynamic and unpredictable nature ofpower demand and supply, allowing formore accurate predictions offuture power requirements. This can lead to improved performance and efciency of the power grid. Additionally, the method is easy to use and cost-effective, making it accessible to a wide range ofpower grid operators and developers. Another advantage of the method is that it allows for more precise allocation of electric power to differentpower consumers and generators. By using the rst estimation, the method can determine the most efficient and effective way to allocate electric power based on the current and predicted state ofthe power grid. This can lead to bettermanagement ofpower resources and amore stable and reliable power grid. Furthermore, the method enables more effective planning for the development ofpower grids. By using the method to predict future power requirements and to optimize the performance of the power grid, power grid operators and developers can plan more effectively for future expansion and development of the power grid. Preferably, the computer-implemented method comprises apportioning the electric power based on parameter time curves representative for the electric consumption or production of the one or more differentpower consumers or generators. Parameter time curves are graphs that show how the electric consumption or production ofpower consumers or generators changes over time. ltmay be provided that the use ofparameter time curves allows for more precise and efcient allocation of electric power to differentpower consumers and generators. By taking into account the dynamic and changing nature ofpower demand and supply, the method can determine the most efficient and effective way to allocate electric power in real-time. This can lead to better management ofpower resources and a more stable and reliable power grid. Furthermore, this method enables more accurate predictions of future power requirements. By analyzing the parameter time curves, the method can predict future changes in power demand and supply with greater accuracy. This can allow formore effective planning for the development and expansion of the power grid, leading to better performance and efficiency. Another advantage of this is that it enables more accurate predictions of future power requirements. Preferably, the computer-implemented method comprises limiting themaximum consumable electric power for at least one individual consumer and / or generator. The maximum consumable electric power is themaximum amount of electric power that a consumer or generator is allowed to consume or produce. Itmay be provided that limiting the maximum consumable electric power for individual consumers and / or generators allows for more efficient use ofpower resources and can help to prevent overloading of the power grid. By limiting themaximum consumable electric power, the method can ensure that each consumer or generator only uses the amount ofpower that is necessary, preventing waste and reducing the risk ofpower shortages or blackouts. Furthermore, this method can help to improve the stability and reliability of the power grid. By limiting themaximum consumable electric power, the method can prevent individual consumers or generators from overloading the power grid, which can lead to instability and even failure ofthe power grid. This can help to ensure that the power grid operates safely and reliably at all times. Another advantage of this method is that it enables more effective management ofpower resources. By limiting themaximum consumable electric power, the method can ensure thatpower resources are used in the most efficient way possible, reducing waste and increasing the overall efciency ofthe power grid. Additionally, this method allows for better control ofpower consumption and generation. By limiting the maximum consumable electric power, the method can allow for more precise control ofpower consumption and generation, ensuring that the power grid operates in a stable and efficient manner at all times. Preferably, the computer-implemented method comprises compiling a consumer and / or generator prole using the at least one parameter. The consumer and / or generator prole comprises the consumers and / or generators requested or expected load capacity over a predetermined range of time. In the step ofdetermining the developing plan, the developing plan further comprises matching the consumer and / or generator prole to the rst estimation and apportioning the electric power such that the grid state corresponds with the consumer and / or generator prole. ltmay be provided that compiling a consumer and / or generator prole allows for more precise and efficient management ofpower resources. By analyzing the expected load capacity ofindividual consumers and / or generators over a predetermined range of time, the method can determine the most efficient and effective way to allocate electric power in real-time. This can lead to bettermanagement of power resources and a more stable and reliable power grid. Furthermore, this method can help to improve the stability and reliability of the power grid. By matching the consumer and / or generator prole to the rst estimation, the method can ensure that the power grid operates in a stable and efcient manner at all times. This can help to prevent overloading ofthe power grid and reduce the risk ofpower shortages or blackouts. Another advantage of this method is that it enables more effective planning for the development and expansion of the power grid. By analyzing the consumer and / or generator prole, power grid operators and developers can plan more effectively for future expansion and development of the power grid, leading to better performance and efciency. Additionally, this method allows for more efficient use ofprocessing power and storage capacity. By compiling the consumer and / or generator prole and matching it to the rst estimation, the method can optimize the use ofprocessing power and storage capacity, ensuring that these resources are used in the most efcient way possible. This can lead to cost savings and better overall performance of the power grid. Preferably, the computer-implemented method comprises compiling a consumer and / or generator prole using the at least one parameter. The consumer and / or generator prole comprises the consumers and / or generators requested or expected load capacity over a predetermined range of time. In the step ofdetermining the developing plan, the developing plan further comprises matching the consumer and / or generator prole to the rst estimation and apportioning the electric power such that the grid state corresponds with the consumer and / or generator prole. ltmay be provided that compiling a consumer and / or generator prole allows for more precise and efficient management ofpower resources. By analyzing the expected load capacity ofindividual consumers and / or generators over a predetermined range of time, the method can determine the most efficient and effective way to allocate electric power in real-time. This can lead to bettermanagement of power resources and a more stable and reliable power grid. Furthermore, this arrangement can help to improve the stability and reliability of the power grid. By matching the consumer and / or generator prole to the rst estimation, the method can ensure that the power grid operates in a stable and efcient manner at all times. This can help to prevent overloading ofthe power grid and reduce the risk ofpower shortages or blackouts. Another advantage of this arrangement is that it enables more effective planning for the development and expansion of the power grid. By analyzing the consumer and / or generator prole, power grid operators and developers can plan more effectively for future expansion and development of the power grid, leading to better performance and efciency. Additionally, this arrangement allows for more efficient use of processing power and storage capacity. By compiling the consumer and / or generator prole and matching it to the rst estimation, the method can optimize the use ofprocessing power and storage capacity, ensuring that these resources are used in the most efcient way possible. This can lead to cost savings and better overall performance of the power grid. Preferably, the computer- implemented method comprises mapping the consumer and / or generator prole to one or more topology points in the grid. Topology points are specic points in the power grid where measurements can be taken and used to estimate the state of the power grid. Itmay be provided that mapping the consumer and / or generator prole to topology points in the grid allows for more accurate and efficient management ofpower resources. By mapping the consumer and / or generator prole to specic points in the power grid, the method can determine the most efficient and effective way to allocate electric power in real-time. This can lead to bettermanagement ofpower resources and a more stable and reliable power grid. Furthermore, this arrangement can help to improve the stability and reliability of the power grid. By mapping the consumer and / or generator prole to topology points in the grid, the method can ensure that the power grid operates in a stable and efcient manner at all times. This can help to prevent overloading ofthe power grid and reduce the risk ofpower shortages or blackouts. Another advantage of this arrangement is that it enables more effective planning for the development and expansion of the power grid. By mapping the consumer and / or generator prole to topology points in the grid, power grid operators and developers can plan more effectively for future expansion and development of the power grid, leading to better performance and efciency. Additionally, this arrangement allows for more efficient use ofprocessing power and storage capacity. By mapping the consumer and / or generator prole to topology points in the grid, the method can optimize the use ofprocessing power and storage capacity, ensuring that these resources are used in the most efcient way possible. This can lead to cost savings and better overall performance of the power grid. More preferably, the computer-implemented method comprises determining where new consumers and / or generators are integratable in the grid based on the mapping and the rst estimation. This involves analyzing the consumer and / or generator prole and the rst estimation to identify specic points in the power grid where new consumers and / or generators can be integrated in the most efficient and effective way possible. Itmay be provided that determining where new consumers and / or generators are integratable in the grid allows for more effective planning for the development and expansion of the power grid. By analyzing the mapping and the rst estimation, power grid operators and developers can identify the most efficient and effective way to integrate new consumers and / or generators into the power grid. This can lead to better performance and efciency ofthe power grid. Furthermore, this arrangement can help to improve the stability and reliability of the power grid. By identifying the most efficient and effective way to integrate new consumers and / or generators, the method can ensure that the power grid operates in a stable and efficient manner, reducing the risk of overloading and power shortages or blackouts. Another advantage of this arrangement is that it enables more efficient use ofprocessing power and storage capacity. By analyzing the mapping and the rst estimation, the method can optimize the use ofprocessing power and storage capacity, ensuring that these resources are used in the most efficient way possible. This can lead to cost savings and better overall performance ofthe power grid. Preferably, the computer-implemented method comprises a consumer and / or generator prole that further comprises at least one growth parameter representative for an expected load growth ofthe consumer and / or generator. The growth parameter is ameasure ofthe expected increase in powerdemand or supply for a specic consumer or generator over a certain period of time. ltmay be provided that including growth parameters in the consumer and / or generator prole allows for more effective planning for the development and expansion of the power grid. By analyzing the growth parameters, power grid operators and developers can identify the most efficient and effective way to expand the power grid to meet the expected increase in power demand or supply. This can lead to better performance and efciency ofthe power grid. Furthermore, this arrangement can help to improve the stability and reliability of the power grid. By taking into account the expected increase in power demand or supply for individual consumers and / or generators, the method can ensure that the power grid is expanded in a way that is stable and efficient, reducing the risk of overloading and power shortages or blackouts. Another advantage of this arrangement is that it enables more efficient use ofprocessing power and storage capacity. By analyzing the growth parameters, the method can optimize the use ofprocessing power and storage capacity, ensuring that these resources are used in the most efficient way possible. This can lead to cost savings and better overall performance ofthe power grid. Preferably, the computer-implemented method comprises obtaining at least one measurement representative for at least a portion of a load of the presentpower grid during a predetermined rst time period, wherein the at least one grid measurement comprises at least a parameter time curve representative for the consumption of electric power by an individual consumer.Aparameter time curvemay be understood as a graph that shows how the electric consumption or production ofpower consumers or generators changes over time. It may be provided that including a parameter time curve representative for the consumption of electric power by an individual consumer in the at least one grid measurement allows for more precise and efficient allocation of electric power to differentpower consumers and generators. By taking into account the dynamic and changing nature ofpower demand and supply for each individual consumer, the method can determine the most efficient and effective way to allocate electric power in real-time. This can lead to bettermanagement ofpower resources and amore stable and reliable power grid. Furthermore, this method enables more accurate predictions of future power requirements for each individual consumer. By analyzing the parameter time curves, the method can predict future changes in power demand and supply for each individual consumer with greater accuracy. This can allow formore effective planning for the development and expansion ofthe power grid, leading to better performance and efficiency for each individual consumer. Another advantage of this method is that it enables more efficient use ofprocessing power and storage capacity for each individual consumer. By using parameter time curves to allocate electric power for each individual consumer, the method can optimize the use ofprocessing power and storage capacity, ensuring that these resources are used in the most efficientway possible for each individual consumer. This can lead to cost savings and better overall performance ofthe power grid for each individual consumer. The inclusion ofa parametertime curve representative for the consumption of electric power by an individual consumer in the at least one grid measurement provides amore accurate and efcient method for developing and managing power grids. The method is able to account for the dynamic and unpredictable nature ofpower demand and supply for each individual consumer, allowing for more accurate predictions of future power requirements for each individual consumer. Preferably, the computer-implemented method comprises measuring at least a portion of the load at a single connection point in the power grid in the step ofobtaining at least one measurement.A connection point is a specic point in the power grid where power can be transmitted or received. ltmay be provided that measuring at least a portion of the load at a single connection point in the power grid allows for more efficient and cost-effective monitoring of the power grid. By measuring at a single connection point, the method can obtain a representative measurement of the overall power consumption or generation at that point in the power grid, reducing the need for multiple measurements throughout the power grid. This can lead to cost savings and better use ofresources. Additionally, this method enables more effective monitoring of the power grid. By measuring at a single connection point, the method can obtain a more accurate and timely representation of the overall state of the power grid at that point, allowing for more effective management ofpower resources and a more stable and reliable power grid. Preferably, the computer-implemented method comprises identifying one or more power components which, based on the rst estimation, do not meet the expected second base load in the step of determining the developing plan. Power components may be understood as individual elements ofthe power grid, such as transformers, generators, and transmission lines. Itmay be provided that identifying one or more power components which do not meet the expected second base load, allows for more effective management of the power grid. By identifying these components, the method can determine the most efficient and effective way to allocate electric power to ensure that the expected second base load is met. This can lead to bettermanagement of power resources and a more stable and reliable power grid. Additionally, this method enables more effective planning for the development ofpower grids. By identifying power components that do not meet the expected second base load, power grid operators and developers can plan more effectively for future expansion and development of the power grid, leading to better performance and efciency. Preferably, the computer-implemented method according to any one of the previous claims comprises determining one or more new recovery routes for the expected second base load in the step of determining the developing plan. Arecovery route may be understood as an alternative pathway for the transmission of electric power in the power grid. Itmay be provided that determining one or more new recovery routes for the expected second base load allows for more effective management of the power grid. By determining these routes, the method can ensure that electric power is transmitted efficiently and effectively to meet the expected second base load, even ifthe primary routes are not available. This can lead to bettermanagement ofpower resources and a more stable and reliable power grid. Additionally, this method enables more effective planning for the development ofpower grids. By determining new recovery routes, power grid operators and developers can plan more effectively for future expansion and development of the power grid, leading to better performance and efciency. According to yet another aspect of the present invention, there is provided a computer program product comprising a computer-executable program of instructions for performing, when executed on a computer, the steps of the method of any one of the method embodiments described above. lt will be understood by the skilled person that the features and advantages disclosed hereinabove with respect to embodiments of the method may also apply, mutatis mutandis, to embodiments of the computer program product. According to yet another aspect of the present invention, there is provided a digital storage medium encoding a computer-executable program of instructions to perform, when executed on a computer, the steps of the method of any one of the method embodiments described above. lt will be understood by the skilled person that the features and advantages disclosed hereinabove with respect to embodiments of the method may also apply, mutatis mutandis, to embodiments of the digital storage medium. According to yet another aspect of the present invention, there is provided a device programmed to perform a method comprising the steps ofany one of the methods of the method embodiments described above. Brief description of the gures The accompanying drawings are used to illustrate presently preferred non-limiting exemplary embodiments ofdevices ofthe present invention. The above and other advantages ofthe features and objects of the present invention will become more apparent and the present invention will be better understood from the following detailed description when read in conjunction with the accompanying drawings, in which: Figure 1 schematically illustrates a owchart ofan exemplary embodiment of a computer- implemented method for developing a power grid. Description ofembodiments Figure 1 schematically illustrates a owchart ofan embodiment of a computer- implemented method 1000 for developing a power grid. Apower grid is a network of electrical components that are used to distribute and manage electrical power. The componentsmay include generators, transformers, transmission lines, distribution lines, and other equipment that work together to ensure the reliable delivery ofelectricity to consumers. The power gridmay cover a small geographic area, such as a neighborhood or a city, or itmay cover a large region, such as a state or a country. The method comprises inputting 100 a rst base load representative for at least a minimum amount of electrical power needed by or provided by one or more differentpower consumers or generators.A base load is the amount of electrical power that is needed to meet the demand of a power grid. Inputting 100 at least one parameter representative for at least one of an expected load, an expected voltage, and an expected power during a predetermined second time period may involve entering numerical values for these parameters. For example, the expected load may be 1200MW, the expected voltage may be 220 kV, and the expected power may be 1500MVA. Next, at least one measurement representative for at least a portion of a load of the present power grid during a predetermined rst time period is obtained 200. The measurementmay be representative of the actual power consumption or generation at a specic point in the power grid. An example of obtaining at least one measurement representative for at least a portion of a load of the presentpower grid during a predetermined rst time periodmay involve installing one or more sensors at specic points in the power grid to measure the actual power consumption or generation at those points. For example, a sensor may be installed at a substation to measure the amount of power being transmitted to a particular area or neighborhood. The sensormay send the measurement data to a central control system, which aggregates the data from all the sensors to get an overall picture ofthe state of the power grid. Based on this data, the control system can determine the current load on the power grid and make adjustments to ensure that the power supply is sufficient to meet the demand. Next, the at least one measurement is allocated 300 to one or more power grid components in the power grid, and the allocated measurement is mapped 400 to one or more topology points in the power grid.Atopology point is a specic point in the power grid where measurements can be taken and used to estimate the state ofthe power grid. Allocating a measurement to one or more power grid components means assigning the measurement to a specic component in the power grid, such as a transformer or a substation. This allows the control system to track the ow of power through the grid and estimate the current state of the grid based on the measurements taken at each component. Mapping the measurement to one or more topology points involves associating the measurement with a specic point in the power grid where it was taken, such as a particular substation or transmission line. This allows the control system to identify the location ofthe measurement and track it over time as it moves through the grid. For example, a measurementmay be taken at a substation and allocated to the transformer that supplies power to a specic neighborhood. The measurementmay be mapped to atopology point that represents the location of the substation on the power grid. This allows the control system to monitor the ow ofpower through the grid and estimate the current state of the grid based on the measurements taken at each topology point. In another example, a measurementmay be taken at a point on a transmission line and allocated to the line itself. The measurementmay be mapped to topology points at either end of the line, as well as any intermediate points where measurements are taken. This allows the control system to monitor the ow ofpower through the line and identify any areas where there may be congestion or other issues that could affect the stability of the grid. After obtaining at least one measurement representative for at least a portion of a load of the presentpower grid during a predetermined rst time period, the method involves inputting 500 at least one parameter representative for at least one ofan expected load, an expected voltage, and an expected power ofthe power grid during a predetermined second time period. The second time period is a future time period with respect to the rst time period. For example, the expected load may be the amount of electrical power that is expected to be consumed or generated by the power grid during the predetermined second time period, which could be a few hours, a day, or even a week ormore in the future. The expected voltage and expected powermay be other parameters that are used to estimate the state ofthe power grid during the second time period. The at least one parameter is added to the rst base load, which is representative of at least aminimum amount of electrical power needed for the power grid during the rst time period, to obtain an expected second base load representative for at least a minimum expected amount of electrical power needed for the power grid during the predetermined second time period. This allows the control system to plan ahead for the future power requirements of the grid and ensure that there is enough power available to meet the expected demand. For example, ifthe rst base load is 1000MW and the expected load during the second time period is 1200MW, the expected second base load would be 2200MW (1000MW+ 1200 MW). This means that the power grid must be able to generate or obtain at least 2200MW of electrical power during the predetermined second time period to meet the expected demand. After obtaining the expected second base load, a rst estimation is performed 600 based on this load. This estimation is used to predict the future state ofthe power grid and to optimize its performance. The estimation takes into account the expected load, expected voltage, and expected power of the power grid during the predetermined second time period, as well as the current state of the power grid based on the measurements taken during the rst time period. The rst estimationmay use various algorithms and techniques to analyze the data and predict the future state of the power grid. For example, machine learning algorithms may be used to identify patterns and trends in the data and make predictions based on those patterns. Based on the estimation, a developing plan for the power grid is determined 700. This plan involves apportioning electric power to differentpower consumers and generators during the predetermined second time period based on the rst estimation. The planmay involve adjusting the output ofpower generators, rerouting power transmission lines, or taking other actions to ensure that the power supply is sufficient to meet the expected demand. For example, if the estimation predicts that there will be a high demand for power in a certain area during the second time period, the plan may involve increasing the output ofpower generators in that area or rerouting power transmission lines to ensure that enough power is available. Alternatively, ifthe estimation predicts that there will be excess power in a certain area, the plan may involve reducing the output ofpower generators or diverting the excess power to another area where it is needed. Moreover, if the estimation predicts a potential overload in an area during the second time period, the plan may involve implementing demand response measures. This could include temporarily limiting the power consumption of certain non-essential customers or industries. For instance, large industrial facilities might be asked to reduce their power usage during peak times, or residential customers could be incentivized to lower their consumption through time-of-use pricing. This helps prevent grid overload and ensures that services remain uninterrupted. One advantage ofthe method 1000 is that it provides a more accurate and efficient method for developing and managing power grids. The method is able to account for the dynamic and unpredictable nature ofpower demand and supply, allowing for more accurate predictions of future power requirements. This can lead to improved performance and efciency ofthe power grid. Additionally, the method allows for more precise allocation of electric power to differentpower consumers and generators. By using the rst estimation, the method can determine the most efficient and effective way to allocate electric power based on the current and predicted state of the power grid. This can lead to bettermanagement ofpower resources and amore stable and reliable power grid. Furthermore, the method enables more effective planning for the development of power grids. By using the method to predict future power requirements and to optimize the performance of the power grid, power grid operators and developers can plan more effectively for future expansion and development ofthe power grid. This arrangement provides technical advantages related to better use ofprocessing power and storage capacity, and improved bandwidth usage. Preferably, the step of apportioning 400 the electric power is performed based on parameter time curves representative for the electric consumption or production of the one or more differentpower consumers or generators. Parameter time curves are graphs that show how the electric consumption or production ofpower consumers or generators changes over time. The use ofparameter time curves in the computer-implemented method involves analyzing how the electric consumption or production ofpower consumers or generators changes over time and using this information to allocate electric power more precisely and efficiently. For example, a parameter time curve may show how the electric consumption of a certain neighborhood changes over the course of a day, with higher demand during peak hours and lower demand during off-peak hours. By analyzing this curve, the control system can allocate more power to the neighborhood during peak hours to ensure that there is enough power available to meet the demand, and less power during off-peak hours to reduce waste and conserve resources. ln another example, similarly, a parameter time curvemay show how the electric production of a wind farm changes over time based on wind speed and other factors. By analyzing this curve, the control system can allocate more power to the grid during times when the wind farm is producing more power and less power during times when it is producing less power. The use ofparametertime curves allows formore precise and efficient allocation of electric power to differentpower consumers and generators. By taking into account the dynamic and changing nature ofpower demand and supply, the method can determine the most efficient and effective way to allocate electric power in real-time. This can lead to better management ofpower resources and a more stable and reliable power grid. By analyzing the parameter time curves, the method can predict future changes in power demand and supply with greater accuracy. This can allow formore effective planning for the development and expansion ofthe power grid, leading to better performance and efciency. The apportioning 400 ofelectric power in the computer-implemented method may involve limiting themaximum consumable electric power for at least one individual consumer and / or generator. This means that the amount ofpower that a particular consumer or generator can consume or produce is limited to a certain amount, which can help to prevent overloading of the power grid and ensure that there is enough power available for other consumers and generators. For example, if a particular household has amaximum consumable electric power of 10 kW, the control system can limit the amount ofpower that the household can consume to 10kW or less at any given time. This can help to prevent overloading ofthe power grid during times ofhigh demand and ensure that other households and businesses have access to enough power. Similarly, if a particular wind farm has amaximum electric power production capacity of50MW, the control system can limit the amount ofpower that the wind farm can produce to 50MW or less at any given time. This can help to prevent overloading ofthe power grid during times ofhigh production and ensure that the excess power is not wasted or lost. The computer-implemented method 1000may further comprise compiling a consumer and / or generator prole using the at least one parameter. The prole comprises the consumers and / or generators requested or expected load capacity over a predetermined range oftime. This means that the control system can compile information about the expected power consumption or production of individual consumers or generators over a specic period of time, which can help to optimize the allocation of electric power to meet the expected demand. For example, a consumer prole may show how the power consumption of a particular household or business is expected to vary over the course of a day or week, based on factors such as the time of day, the weather, and other variables. Similarly, a generator prole may show how the power production of a wind farm or solar array is expected to vary over time based on weather patterns and other factors. In the step of determining 700 the developing plan, the developing plan further comprises matching the consumer and / or generator prole to the rst estimation and apportioning the electric power such that the grid state corresponds with the consumer and / or generator prole. This means that the control system can use the consumer and / or generator prole to inform the allocation of electric power, ensuring that the power supply is matched to the expected demand and that the grid state is consistent with the consumer and / or generator prole. For example, if the consumer prole for a particular household shows that the household is expected to consume more power during certain times of the day, the developing plan may involve allocating more power to the household during those times to ensure that the demand is met. Similarly, if the generator prole for a wind farm shows that the farm is expected to produce more power during certain times of the day, the developing plan may involve allocating more power from the wind farm during those times to take advantage ofthe excess production. ltmay be the case that the developing plan comprises instructions to control of the wind farm generator, for example. The control system of the wind farm generator can adjust the output or integration of the wind farm's power into the grid based on the generator prole. This ensures that the generated power is efciently utilized, aligning with demand forecasts and maintaining grid stability. In addition to compiling a consumer and / or generator prole and using it to inform the allocation of electric power, the method may involve mapping the consumer and / or generator prole to one ormore topology points in the power grid. This means that the control system can associate the consumer and / or generator prole with specic points in the power grid where the power is being consumed or generated, allowing for more precise and accurate allocation of electric power. For example, a consumer prole for a particular household may be mapped to the topology point that represents the location ofthe household on the power grid. This would allow the control system to allocate power more precisely to the household, taking into account the specic power requirements and consumption patterns of the household. Similarly, a generator prole for a wind farm or solar array may be mapped to the topology points where the power is being generated. This would allow the control system to allocate powermore precisely from the generator to the power grid, taking into account the specic production patterns and capacity of the generator. Additionally, in the step ofdetermining the developing plan, the developing plan may further comprise determining where new consumers and / or generators are integratable in the grid based on the mapping and the rst estimation. This means that the control system can use the mapping of the consumer and / or generator prole to identify areas of the power grid where there is potential fornew consumers or generators to be integrated and use the rst estimation to determine the feasibility and impact of adding new consumers or generators to the grid. For example, if the mapping of the consumer and / or generator prole shows that there is a high demand for power in a particular area of the grid, the developing plan may involve identifying potential new consumers in that area, such as new households or businesses that are expected to move into the area in the future. The rst estimation can be used to determine the impact of adding these new consumers to the grid, taking into account factors such as the available power supply, the capacity of the transmission lines, and the potential for congestion or other issues. Similarly, if the mapping of the consumer and / or generator prole shows that there is potential fornew generators to be added to the grid, such as a new wind farm or solar array, the developing plan may involve identifying potential locations for these generators based on the mapping and the rst estimation. The rst estimation can be used to determine the impact of adding these new generators to the grid, taking into account factors such as the available power supply, the capacity of the transmission lines, and the potential for congestion or other issues. Moreover, the consumer and / or generator prole may further comprise at least one growth parameter representative ofan expected load growth ofthe consumer and / or generator. This means that the control system can anticipate future changes inpower consumption or production by taking into account the expected growth of individual consumers or generators over time. For example, a growth parameter in a consumer prole may show that the power consumption of a particular household is expected to increase by a certain amount over the course of a year, based on factors such as the addition ofnew appliances or the arrival ofnew residents. Similarly, a growth parameter in a generator prole may show that the power production of a wind farm is expected to increase by a certain amount over the course of a year, based on factors such as the installation of new turbines or the expansion ofthe existing infrastructure. By incorporating growth parameters into the consumer and / or generator prole, the control system can plan ahead for future changes in power demand and supply, ensuring that the power grid is able to meet the expected demand and thatnew consumers or generators can be integrated into the grid in a way that is efficient and effective. The at least one grid measurementmay also comprise at least a parameter time curve representative for the consumption ofelectric powerby individual consumers. This means that the control system can obtain data about how power is being consumed by individual households or businesses over time and use this data to inform the allocation of electric power and the development ofthe power grid. For example, a parameter time curve may show how the power consumption of a particular household or business changes over the course of a day, with higher demand during peak hours and lower demand during off-peak hours. By analyzing this curve, the control system can allocate more power to the household or business during peak hours to ensure that the demand is met, and less power during off-peak hours to reduce waste and conserve resources. Similarly, parameter time curves may be used to track the power consumption of individual neighborhoods or communities, allowing the control system to allocate power more precisely to those areas and optimize the performance of the power grid. The step ofobtaining 200 at least one measurement in the computer-implemented method involves measuring the actual power consumption or generation at a specic point in the power grid. In this case, the measurement is obtained by measuring at a single connection point in the power grid. This means that a sensor or measuring device is installed at a specic point in the power grid to measure the actual power consumption or generation at that point. For example, a sensor may be installed at a substation to measure the amount ofpower being transmitted to a particular area or neighborhood. The sensormay send the measurement data to a central control system, which aggregates the data from all the sensors to get an overall picture of the state of the power grid. This allows the method 1000 to determine the current load on the power grid and make adjustments to ensure that the power supply is sufficient to meet the demand. By measuring the load at a single connection point, the control system can get a more detailed and accurate picture of the state of the power grid at that point, allowing for more precise and efficient allocation of electric power. The step ofdetermining 700 the developing plan in the computer-implemented method may involve identifying areas of the power grid where the power supply may not be sufficient to meet the expected demand. This is done by analyzing the rst estimation, which takes into account the expected load, expected voltage, and expected power of the power grid during the predetermined second time period, as well as the current state of the power grid based on the measurements taken during the rst time period. If the rst estimation shows that certain power components in the power grid are not able to meet the expected second base load, the developing planmay involve taking action to address this issue. Thismay include increasing the capacity of the power components, such as by adding new transformers or generators, or rerouting power transmission lines to ensure that the power supply is sufficient to meet the expected demand. For example, if the rst estimation shows that a particular substation is not able to meet the expected second base load, the developing plan may involve adding new transformers or generators to the substation to increase its capacity. Alternatively, the plan may involve rerouting power transmission lines to bypass the substation and ensure that the power supply is sufficient to meet the expected demand. Identifying power components that do not meet the expected second base load allows the control system to address potential issues before they become a problem, ensuring that the power grid is able to meet the expected demand and operate efficiently and reliably. The step ofdetermining the developing plan in the computer-implemented method involves analyzing the rst state estimation to identify areas of the power grid where the power supply may not be sufficient to meet the expected demand. If the grid state estimation shows that certain power components in the power grid are not able to meet the expected second base load, the developing plan may involve determining new recovery routes for the expected second base load. New recovery routes refer to alternative paths or methods for delivering power to areas that are not able to meet the expected second base load. Thismay involve rerouting power transmission lines or adding new generators or transformers to increase capacity in certain areas of the power grid. The goal is to ensure that there are multiple ways ofdelivering power to areas that are in need, reducing the risk ofpower outages or other disruptions. For example, ifthe grid state estimation shows that a particular substation is not able to meet the expected second base load, the developing plan may involve adding a new transformer to the substation or connecting the substation to a different transmission line to ensure that there is enough power available for the expected demand. Similarly, ifthe grid state estimation shows that a particular neighborhood or area is expected to experience a high demand for power during a certain time period, the developing plan may involve adding a new generator or increasing the output of an existing generator to ensure that there is enough power available. In addition, if the grid state estimation shows that there is potential for congestion or other issues in a certain area of the power grid, the developing plan may involve adding new generators or transformers to increase capacity and ensure that the power supply is reliable and stable. If the grid state estimation shows that there is a potential for excess power in a certain area of the power grid, the developing plan may involve diverting the excess power to other areas where it is needed or storing it for future use. This can help to reduce waste and ensure that the power supply is optimized for the expected demand. Furthermore, if the grid state estimation shows that a particular transmission line is not able to deliver enough power to a certain area, the developing plan may involve adding a new transmission line or rerouting power through a different line to ensure that the power supply is sufficient to meet the expected demand. Determining new recovery routes for the expected second base load allows the control system to address potential issues and ensure that the power grid is able to meet the expected demand in a reliable and efficient manner. By having multiple ways of delivering power to different areas of the grid, the system can reduce the risk of power outages or other disruptions, improving the overall performance and stability of the power grid. Determining new recovery routes for the expected second base load allows the control system to address potential issues and ensure that the power grid is able to meet the expected demand in a reliable and efficient manner. By having multiple ways of delivering power to different areas of the grid, the system can reduce the risk ofpower outages or other disruptions, improving the overall performance and stability of the power grid. Embodiments ofthe present invention as described above may be advantageously applied in a context ofpower grid development and management. In other words, embodiments of the present invention may strive to improve the accuracy, efciency, and stability ofpower grids by accounting for the dynamic and unpredictable nature ofpower demand and supply and enabling more effective planning and management ofpower resources. Aperson of skill in the art would readily recognize that steps of various above-described methods can be performed by programmed computers. Herein, some embodiments are also intended to cover program storage devices, e.g., digital data storage media, which are machine or computer readable and encode machine-executable or computer-executable programs of instructions, wherein said instructions perform some or all of the steps of said above-described methods. The program storage devicesmay be, e.g., digital memories, magnetic storage media such as a magnetic disks and magnetic tapes, hard drives, or optically readable digital data storage media. The program storage devicesmay be resident program storage devices ormay be removable program storage devices, such as smart cards. The embodiments are also intended to cover computers programmed to perform said steps of the above-described methods. The description and drawings merely illustrate the principles ofthe present invention. It will thus be appreciated that those skilled in the art will be able to devise various methods that, although not explicitly described or shown herein, embody the principles of the present invention and are included within its scope. Furthermore, all examples recited herein are principally intended expressly to be only for pedagogical purposes to aid the reader in understanding the principles of the present invention and the concepts contributed by the inventor(s) to furthering the art and are to be construed as being without limitation to such specically recited examples and conditions. Moreover, all statements herein reciting principles, aspects, and embodiments of the present invention, as well as specic examples thereof, are intended to encompass equivalents thereof. The functions ofthe various elements shown in the gures, including any functional blocks labelled as processors, may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software. When provided by a processor, the functions may be provided by a single dedicated processor, by a single shared processor, or by a plurality of individual processors, some ofwhich may be shared. Moreover, explicit use of the term processor or controller should not be construed to refer exclusively to hardware capable of executing software, andmay implicitly include, without limitation, digital signal processor (DSP) hardware, network processor, application specic integrated circuit (ASIC), eld programmable gate array (FPGA), read only memory (ROM) for storing software, random access memory (RAM), and non-volatile storage. Other hardware, conventional and / or custom, may also be included. Similarly, any switches shown in the gures are conceptual only. Their function may be carried out through the operation ofprogram logic, through dedicated logic, through the interaction ofprogram control and dedicated logic, or even manually, the particular technique being selectable by the implementer as more specically understood from the context. It should be appreciated by those skilled in the art that any block diagrams herein represent conceptual views of illustrative circuitry embodying the principles of the present invention. Similarly, it will be appreciated that any owcharts, ow diagrams, state transition diagrams, pseudo code, and the like represent various processes which may be substantially represented in computer readable medium and so executed by a computer. It should be noted that the above-mentioned embodiments illustrate rather than limit the present invention and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word comprising does not exclude the presence ofelements or steps not listed in a claim. The word a or an preceding an element does not exclude the presence ofa plurality ofsuch elements. The present invention can be implemented by means ofhardware comprising several distinct elements and by means of a suitably programmed computer. ln claims enumerating several means, several of these means can be embodied by one and the same item ofhardware. The usage ofthe words rst, second, third, etc. does not indicate any ordering or priority. These words are to be interpreted as names used for convenience. In the present invention, expressions such as comprise, include, have, may comprise, may include, or may have indicate existence ofcorresponding features but do not exclude existence of additional features. Whilst the principles ofthe present invention have been set out above in connection with specic embodiments, it is to be understood that this description is merely made by way of example and not as a limitation of the scope ofprotection which is determined by the appended claims.
Claims
1. A computer-implemented method for developing an electricity grid, the method comprising: - introducing a first basic tax that is representative of at least a minimum amount of electrical power required by or supplied by one or more various power consumers or generators; - obtaining at least one measurement that is representative of at least a part of a load on the current electricity grid during a predetermined first time period; - assigning at least one measurement to one or more network components in the electricity grid; - map the assigned at least one grid measurement to one or more topology points in the electricity grid; - enter at least one parameter that is representative of at least one of a expected load, an expected voltage and an expected power of the electricity grid during a predetermined second time period, where the second time period is a future time period is relative to the first time period; - adding at least one parameter to the first base load to a to obtain an expected second baseline load that is representative of at least a minimum expected amount of electrical power required for the electricity grid during the pre-existing certain second time period; - performing an initial estimate based on the expected second baseline load; and - determining a development plan for the electricity grid, whereby in the development plan at least electrical power is allocated to various power consumers and generators during the predetermined second time period based on the first estimate.
2. The computer-implemented method under claim 1, whereby the assignment of the Electrical power is output based on representative parameter time curves. for the electrical consumption or production of one or more different power consumers or generators.
3. The computer-implemented method in accordance with one of the preceding conclusions, whereby the allocation of electrical power includes a limitation on the maximum usable electrical power for at least one individual consumer and / or generator.
4. The computer-implemented method in accordance with one of the preceding conclusions, whereby The method further includes compiling a consumer and / or generator profile with using at least one parameter, where the profile is the requested or expected load capacity of the consumers and / or generators over a predetermined time span includes, and whereby in the step of determining the development plan, the development plan furthermore, it includes aligning the consumer and / or generator profile with the initial estimate, and allocating electrical power in such a way that the grid status corresponds to the consumers and / or generator profile.
5. The computer-implemented method under claim 4, whereby the consumer and / or The generator profile is linked to one or more topology points in the electricity grid.
6. The computer-implemented method according to conclusion 5, whereby in the step of the determining the development plan; the development plan further includes determining where new Consumers and / or generators in the grid can be integrated based on the mapping bring and the first estimate.
7. The computer-implemented method according to one of the preceding conclusions 4-6, where the profile of the consumer and / or generator further includes at least one growth parameter which is representative of an expected load growth of the consumer and / or generator.
8. The computer-implemented method in accordance with one of the preceding conclusions, whereby the at least one grid measurement includes at least one parameter time curve that is representative of the consumption of electrical energy by an individual consumer.
9. The computer-implemented method in accordance with one of the preceding conclusions, whereby the step of obtaining at least one measurement the measuring of at least a part of the load on a single connection point in the electricity grid.
10. The computer-implemented method in accordance with one of the preceding conclusions, whereby determining the development plan further involves identifying one or more power components that, based on the initial estimate, do not meet the expected second basic tax.
11. The computer-implemented method in accordance with one of the preceding conclusions, whereby determining the development plan further includes determining one or more new Recovery pathways for the expected second baseline load. 5 12. A computer program comprising a program executable by the computer of instructions for executing, when executed on a computer, the steps of the method in accordance with one of the preceding conclusions.