New energy power station-oriented electrical energy balanced allocation method and system

Abstract

The invention discloses a new energy power station oriented electric power energy balanced allocation method and system, relates to the technical field of new energy power stations, and solves the problem that a traditional allocation mode depending on manual decision cannot meet the requirements of mass data processing and real-time scheduling. According to the method, the energy storage demand time of each load node is accurately locked, so that the problem that resources are idle due to too early energy storage or the load cannot be met due to too late energy storage is avoided; the sorting of the energy storage moments of different load nodes forms a moment sequence, and the time priority of energy storage scheduling is defined, so that the energy storage system of the new energy power station can plan the charging and discharging rhythm in advance (for example, the node energy storage which is about to reach the load peak value is preferentially guaranteed), the utilization efficiency of energy storage resources is improved, and the wind and light abandoning phenomenon is reduced.

Description

Technical Field

[0001] This invention relates to the field of new energy power plant technology, specifically to a method and system for power energy balance and allocation in new energy power plants. Background Technology

[0002] With the global energy structure transitioning towards cleaner and lower-carbon energy, the installed capacity and penetration rate of new energy power plants (such as photovoltaic power plants and wind farms) have experienced explosive growth, becoming an important power source component of the power system. However, the inherent intermittency, volatility, and randomness of new energy power generation present a significant contradiction with the electricity users' demands for reliable and stable power supply, leading to a series of technical bottlenecks that urgently need to be addressed in the efficient allocation of power energy from power plants.

[0003] In the current operation and management of new energy power plants, the traditional power energy dispatching mode is no longer suitable for complex and ever-changing operating scenarios: existing monitoring systems mostly rely on fixed-period sampling or manual inspection, which makes it difficult to achieve real-time dynamic capture of power consumption data of each power plant node. Moreover, they often use a uniform threshold to determine the load status, ignoring the differences in power consumption characteristics of different types of power plant nodes (such as photovoltaic inverter nodes, wind power pitch nodes, and user-side load nodes), resulting in frequent misjudgments and omissions of load status, which in turn leads to delayed dispatching response. This can cause local power waste or, in severe cases, trigger protection devices to trip due to overload, affecting the continuous operation of the power plant.

[0004] Secondly, there is a lack of sophisticated methods for power factor control. New energy power plants often contain a large number of inductive or capacitive devices (such as motors and capacitor banks). If the power factor fails to meet standards, significant reactive power losses will occur, reducing energy utilization efficiency and potentially leading to grid voltage fluctuations and increased line losses. However, most power plants currently rely solely on fixed compensation devices for passive adjustment, failing to dynamically optimize the operating status of related equipment based on real-time power parameters of the load nodes. This makes it difficult to stably control the power factor within the optimal range, resulting in persistently high energy utilization costs.

[0005] Furthermore, as new energy power plants develop towards "integrated generation, grid, load, and storage," the number of power plant nodes is surging and the types of loads are becoming increasingly diverse (intertwined with industrial loads, commercial loads, and residential loads). The traditional dispatching method that relies on manual decision-making can no longer cope with the needs of massive data processing and real-time dispatching. There is an urgent need for a systematic and intelligent power energy balance dispatching solution to achieve precise control over the entire process from load identification and parameter optimization to energy storage dispatching and balanced distribution, so as to break through the efficiency bottlenecks and stability risks in the current operation of new energy power plants and promote the efficient consumption and reliable supply of new energy power. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a power energy balance allocation method and system for new energy power plants, which solves the problem that traditional allocation methods relying on manual decision-making can no longer meet the needs of massive data processing and real-time scheduling.

[0007] To achieve the above objectives, the present invention provides a power energy balancing and allocation method for new energy power plants, comprising the following steps: Step 1: Monitor the real-time electricity consumption data associated with different nodes of the new energy power plant in real time, compare the monitored real-time electricity consumption data with preset values, assess whether the power plant node is in a load state, and mark it as a load node. The specific method is as follows: The real-time electricity consumption data monitored at different power station nodes at corresponding times is denoted as YD. i-k Where i represents different power station nodes and k represents different times, the real-time electricity consumption data YD monitored at the corresponding times is used. i-k The preset value YZ associated with the corresponding power station node i Compare: If YD i-k ≤YZ i If the value is positive, it means that the current power station node is in normal operation. Otherwise, it means that the corresponding power station node is in load state and is marked as a load node. Different power station nodes are associated with different preset values. Step 2: Confirm the power factor of the load node and determine whether it meets the standard. If it does not meet the standard, adjust the multi-terminal operating parameters associated with this load node. If it meets the standard, execute the subsequent power balancing process. The specific method is as follows: Determine the apparent power and active power associated with the load node, using the formula: Apparent power ÷ Active power = Power factor. Confirm the power factor associated with the load node and compare the confirmed power factor with the preset value Y1. If the power factor < Y1, it means that the power factor does not meet the standard, and the multi-terminal operation parameter adjustment process is executed. Conversely, it means that the power factor meets the standard, and the subsequent balancing and allocation process is executed. Here, Y1 is the preset value. The specific method for adjusting the multi-terminal operating parameters is as follows: Identify the associated devices that affect the power factor, determine the adjustment direction of the operating parameters of individual associated devices, control the operating parameters of individual associated devices to decrease or increase, identify whether their power factor increases, if it increases, record the control direction of the corresponding operating parameter as the adjustment direction, if it does not increase, record the opposite direction of the control direction of the corresponding operating parameter as the adjustment direction, and determine the adjustment direction corresponding to each associated device in turn. Based on the different control directions determined by different associated devices, multiple associated devices adjust their operating parameters according to the determined control directions and record the power factor. From the continuously recorded processing process, the maximum power factor is confirmed, and the operating parameters corresponding to the maximum power factor are recorded as execution parameters, so that each associated device operates according to the determined execution parameters, thus completing the adjustment process of multi-terminal execution parameters. Step 3: Determine a set of monitoring periods, confirm the maximum electricity consumption data associated with the load nodes within the monitoring periods, and then identify the energy storage time associated with the load nodes based on the energy storage data of the corresponding load nodes. Sort the energy storage times associated with different load nodes to confirm the time sequence. The specific method is as follows: A set of monitoring periods is defined, and the electricity consumption data associated with the load nodes within the monitoring periods is confirmed in real time. From the confirmed electricity consumption data, the maximum value is selected and used as the current consumption data XH of the load node. i ; Next, the energy storage data associated with the load node per unit time is extracted and denoted as CN. i The total electricity consumption data stored at the current load node is confirmed and recorded as ZY. i Using: ZY i ÷(XH i -CN i =TS i Confirmation of Feature Time TS i And based on the confirmed characteristic time TS i And at the current moment, confirm the energy storage moment, and the time length between the energy storage moment and the current moment is the characteristic time TS. i ; The energy storage times associated with different load nodes are determined sequentially, and the confirmed energy storage times are sorted according to their time sequence to confirm the time sequence. Step 4: Based on the different time sequences confirmed between different load nodes, balance and allocate the energy storage processes associated with subsequent load nodes. Different balancing and allocation processes are executed according to the different time periods associated with the time sequences. Specifically: Using the current time as the base time and taking the base time as the first time of the time sequence, the time periods between adjacent times are associated with each other. The associated time period is the time corresponding to the load node associated with the next time. Different load nodes have different associated time periods. Different load balancing logics are executed within different associated time periods corresponding to different load nodes: the energy storage data associated with each power station node at the beginning of the associated time period is denoted as CN. iWhere i represents different power plants, the energy storage data associated with each different power plant node is proportionally allocated, starting from 1% and gradually increasing the proportion until the energy storage data associated with the load node satisfies: CN i ≥XH i Stop when the time is right, record the energy storage data of each different power station node in the associated time period and execute, and complete the load balancing process for this associated time period. For subsequent associated time periods, use the same load balancing method to complete the load balancing process for the load nodes.

[0008] Preferably, a power energy balancing and dispatching system for new energy power plants includes: The load node marking terminal monitors the real-time electricity consumption data associated with different power station nodes of the new energy power station in real time, compares the monitored real-time electricity consumption data with preset values, assesses whether the power station node is in a load state, and marks it as a load node. The power factor confirmation end confirms the power factor of the load node and identifies whether its power factor meets the standard. If it does not meet the standard, the multi-terminal operating parameters associated with this load node are adjusted. If it meets the standard, the subsequent balancing and allocation process is executed. The time sequence marker end determines a set of monitoring cycles, confirms the maximum electricity consumption data associated with the load node within the monitoring cycle, identifies the energy storage time associated with the load node based on the energy storage data of the corresponding load node, sorts the energy storage times associated with different load nodes, and confirms the time sequence. The energy storage process associated with different load nodes is balanced and allocated based on the different time sequences confirmed between different load nodes. Different energy storage processes are executed according to the different time periods associated with the time sequences.

[0009] This invention provides a method and system for power energy balance and allocation in new energy power plants. Compared with existing technologies, it has the following advantages: This invention finds the optimal operating combination of related devices through the logic of "single device control direction test - multi-device coordinated adjustment - locking the parameters corresponding to the maximum power factor". This not only improves the power factor to the standard level, but also minimizes the reactive power loss of the load node and improves the efficiency of power utilization. Precisely pinpointing the energy storage demand time at each load node avoids the problems of "energy storage too early leading to resource idleness" or "energy storage too late failing to meet load." The sequencing of energy storage times at different load nodes forms a time sequence, clarifying the time priority of energy storage scheduling. This allows the energy storage system of new energy power plants to plan its charging and discharging rhythm in advance (such as prioritizing energy storage at nodes approaching peak load), improving the utilization efficiency of energy storage resources and reducing wind and solar curtailment. By employing a "gradually increasing allocation ratio" logic across different time periods, refined and balanced allocation of energy storage processes is achieved. On one hand, starting from a base time, each associated time period corresponds to a specific load node, ensuring that each node receives sufficient energy storage support during its demand period, avoiding power outages caused by insufficient energy storage at local nodes. On the other hand, the allocation ratio is gradually increased from 1% to CN. i ≥XH i This approach avoids the impact (such as voltage drop and current overload) caused by a single large-scale allocation to the energy storage system, and ensures fairness among different power station nodes through unified allocation rules. Ultimately, it achieves overall power supply and demand balance for new energy power stations and improves the stability and reliability of power grid operation. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] First Embodiment Please see Figure 1 This application provides a method for power energy balance and allocation for new energy power plants, including the following steps: Step 1: Real-time monitoring of the electricity consumption data associated with different nodes of the new energy power plant is performed, and the monitored real-time electricity consumption data is compared with preset values ​​to determine whether the power plant node is in a load state and mark it as a load node. Specifically, the real-time electricity consumption data is monitored in real time, and there are corresponding monitoring sensors. These sensors monitor the real-time electricity consumption data in real time and, based on the real-time monitoring progress, determine whether the power plant node is in a load state in real time. The real-time electricity consumption data monitored at different power station nodes at corresponding times is denoted as YD. i-k Where i represents different power station nodes and k represents different times, the real-time electricity consumption data YD monitored at the corresponding times is used. i-k The preset value YZ associated with the corresponding power station node i Compare: If YD i-k ≤YZ i If the value is positive, it means that the current power station node is in normal operation. Otherwise, it means that the corresponding power station node is in load state and is marked as a load node. Different power station nodes are associated with different preset values. Specifically, each node has associated preset values, and each node has real-time monitored electricity consumption data. By comparing and verifying the monitored electricity consumption data with the associated preset values, it can be confirmed whether the corresponding node is under load. Load confirmation is performed in real time, and specific load nodes are marked according to the load status.

[0013] Step 2: Confirm the power factor of the load node and determine whether it meets the standard. If it does not meet the standard, adjust the multi-terminal operating parameters associated with this load node. If it meets the standard, proceed with the subsequent power balancing process. Determine the apparent power and active power associated with the load node (the corresponding load node has associated monitoring sensors that can monitor the power parameters associated with the load node in real time). Use: Apparent power ÷ Active power = Power factor to confirm the power factor associated with the load node and compare the confirmed power factor with the preset value Y1: If the power factor < Y1, it means that the power factor does not meet the standard, and the multi-terminal operation parameter adjustment process is executed; otherwise, it means that the power factor meets the standard, and the subsequent balancing and allocation process is executed (subsequent steps three and four). Y1 is a preset value, and its specific value is determined by the operator based on experience. The process of adjusting multi-terminal operating parameters: Identify the associated equipment that affects the power factor. The associated equipment has been marked in advance and preset by relevant personnel. Determine the adjustment direction of the operating parameters of individual associated equipment, control the operating parameters of individual associated equipment to decrease or increase, and identify whether the power factor increases. If it increases, the control direction of the corresponding operating parameter is recorded as the adjustment direction. If it does not increase, the opposite direction of the control direction of the corresponding operating parameter is recorded as the adjustment direction. The adjustment direction corresponding to each associated equipment is determined in turn. Based on the different control directions determined by different associated devices, multiple associated devices adjust their operating parameters according to the determined control directions and record the power factor. From the continuously recorded processing process, the maximum power factor is confirmed, and the operating parameters corresponding to the maximum power factor are recorded as execution parameters, so that each associated device operates according to the determined execution parameters, thus completing the adjustment process of multi-terminal execution parameters. Specifically, during the processing, the power factor is related to different operating parameters. In order to effectively confirm the specific adjustment direction between different operating parameters, it is necessary to lock the characteristics of the corresponding power factor according to the specific parameter change state, so as to lock the optimal operating state and effectively reduce the operating losses associated with the load node. Step 3: Determine a set of monitoring cycles, confirm the maximum electricity consumption data associated with the load nodes within the monitoring cycles, identify the energy storage time associated with the load nodes based on the energy storage data of the corresponding load nodes, and sort the energy storage times associated with different load nodes to confirm the time sequence. The specific method for confirming the time series is as follows: A set of monitoring periods is defined, and the electricity consumption data associated with the load nodes within the monitoring periods is confirmed in real time. From the confirmed electricity consumption data, the maximum value is selected and used as the current consumption data XH of the load node. i ; Next, the energy storage data associated with the load node per unit time is extracted and denoted as CN. i The total electricity consumption data stored at the current load node is confirmed and recorded as ZY. i Using: ZY i ÷(XH i -CN i =TS i Confirmation of Feature Time TS i And based on the confirmed characteristic time TS i And at the current moment, confirm the energy storage moment, and the time length between the energy storage moment and the current moment is the characteristic time TS. i ; The energy storage times associated with different load nodes are determined sequentially, and the confirmed energy storage times are sorted according to their time sequence to confirm the time sequence. Step 4: Based on the different time sequences confirmed between different load nodes, balance and allocate the energy storage processes associated with different load nodes. Different balancing and allocation processes are executed according to the different time periods associated with the time sequences. The specific method is as follows: Using the current time as the base time and taking the base time as the first time of the time sequence, the time periods between adjacent times are associated with each other. The associated time period is the time corresponding to the load node associated with the next time. Different load nodes have different associated time periods. Different load balancing logics are executed within different associated time periods corresponding to different load nodes: the energy storage data associated with each power station node at the beginning of the associated time period is denoted as CN. i Where i represents different power plants, the energy storage data associated with each different power plant node is proportionally allocated, starting from 1% and gradually increasing the proportion until the energy storage data associated with the load node satisfies: CN i ≥XH iStop when the time is right, record the energy storage data of each different power station node in the associated time period and execute it to complete the load balancing process for this associated time period. For subsequent associated time periods, the same load balancing process is used to complete the load balancing process for the load nodes. Specifically, by extracting the maximum power consumption data XH of the load nodes within the monitoring period. i Combined with energy storage data CN i Total electricity consumption data ZY i Calculate the characteristic time TS i It can accurately pinpoint the energy storage demand time of each load node, avoiding the problems of "blind energy storage" or "energy storage lag"; the sorting of the time sequence further clarifies the energy storage priority of different nodes, providing a clear time benchmark for subsequent time-sharing allocation, and ensuring that energy storage resources are prioritized to the nodes with the most urgent needs. The allocation logic is executed proportionally based on the relevant time period, gradually increasing the allocation ratio from 1% to CN. i ≥XH i This approach can avoid overload or voltage fluctuations in the energy storage system caused by a single large-scale allocation, and can also ensure that the energy storage needs of each load node are fully met during the corresponding time period through dynamic adjustment. At the same time, the unified allocation method can be reused in subsequent related time periods, reducing the complexity of system operation and maintenance and improving the overall allocation efficiency. By precisely matching the energy storage time and energy storage allocation process of load nodes, the energy storage capacity of each power station node can be maximized, reducing the idle or wasteful energy storage resources; the time-sharing balanced allocation further balances the power consumption pressure of different load nodes, avoiding power outages caused by insufficient energy storage in some nodes, and providing dual protection for the stable output of new energy power and reliable power consumption on the load side.

[0014] Second Embodiment A power energy balance and dispatch system for new energy power plants includes: The load node marking terminal monitors the real-time electricity consumption data associated with different power station nodes of the new energy power station in real time, compares the monitored real-time electricity consumption data with preset values, assesses whether the power station node is in a load state, and marks it as a load node. The power factor confirmation end confirms the power factor of the load node and identifies whether its power factor meets the standard. If it does not meet the standard, the multi-terminal operating parameters associated with this load node are adjusted. If it meets the standard, the subsequent balancing and allocation process is executed. The time sequence marker end determines a set of monitoring cycles, confirms the maximum electricity consumption data associated with the load node within the monitoring cycle, identifies the energy storage time associated with the load node based on the energy storage data of the corresponding load node, sorts the energy storage times associated with different load nodes, and confirms the time sequence. The energy storage process associated with different load nodes is balanced and allocated based on the different time sequences confirmed between different load nodes. Different energy storage processes are executed according to the different time periods associated with the time sequences.

[0015] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0016] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A method for power energy balance and allocation for new energy power plants, characterized in that, Includes the following steps: Step 1: Monitor the real-time electricity consumption data associated with different power station nodes of the new energy power station in real time, compare the monitored real-time electricity consumption data with the preset value, assess whether the power station node is in a load state and mark it as a load node. Step 2: Confirm the power factor of the load node and identify whether it meets the standard. If it does not meet the standard, adjust the multi-terminal operating parameters associated with this load node. If it meets the standard, execute the subsequent balancing and allocation process. Step 3: Determine a set of monitoring cycles, confirm the maximum electricity consumption data associated with the load nodes within the monitoring cycles, identify the energy storage time associated with the load nodes based on the energy storage data of the corresponding load nodes, and sort the energy storage times associated with different load nodes to confirm the time sequence. Step 4: Based on the different time sequences confirmed between different load nodes, balance and allocate the energy storage processes associated with different load nodes. Execute different balance and allocation processes according to the different time periods associated with the time sequences.

2. The power energy balance and allocation method for new energy power plants according to claim 1, characterized in that, In step one, the specific method for marking the load nodes is as follows: The real-time electricity consumption data monitored at different power station nodes at corresponding times is denoted as YD. i-k Where i represents different power station nodes and k represents different times, the real-time electricity consumption data YD monitored at the corresponding times is used. i-k The preset value YZ associated with the corresponding power station node i Compare: If YD i-k ≤YZ i If the value is 0, it means that the current power station node is in normal operation. Conversely, if the value is 0, it means that the corresponding power station node is in load state and is marked as a load node. Different power station nodes are associated with different preset values.

3. The power energy balance and allocation method for new energy power plants according to claim 1, characterized in that, In step two, the specific method for identifying whether the power factor meets the standard is as follows: Determine the apparent power and active power associated with the load node, using the formula: Apparent power ÷ Active power = Power factor. Confirm the power factor associated with the load node and compare the confirmed power factor with the preset value Y1. If the power factor < Y1, it means the power factor is not up to standard, and the multi-terminal operating parameter adjustment process is executed. Conversely, it means the power factor meets the standard, and the subsequent balancing and allocation process is executed. Here, Y1 is the preset value.

4. The power energy balance and allocation method for new energy power plants according to claim 3, characterized in that, In step two, the specific method for adjusting the multi-terminal operating parameters is as follows: Identify the associated devices that affect the power factor, determine the adjustment direction of the operating parameters of individual associated devices, control the operating parameters of individual associated devices to decrease or increase, identify whether their power factor increases, if it increases, record the control direction of the corresponding operating parameter as the adjustment direction, if it does not increase, record the opposite direction of the control direction of the corresponding operating parameter as the adjustment direction, and determine the adjustment direction corresponding to each associated device in turn. Based on the different control directions determined by different associated devices, multiple associated devices adjust their operating parameters according to the determined control directions and record the power factor. From the continuously recorded processing process, the maximum power factor is confirmed, and the operating parameters corresponding to the maximum power factor are recorded as execution parameters. This allows each associated device to operate according to the determined execution parameters, thus completing the adjustment process of multi-terminal execution parameters.

5. The power energy balance and allocation method for new energy power plants according to claim 1, characterized in that, In step three, the specific method for confirming the time sequence is as follows: A set of monitoring periods is defined, and the electricity consumption data associated with the load nodes within the monitoring periods is confirmed in real time. From the confirmed electricity consumption data, the maximum value is selected and used as the current consumption data XH of the load node. i ; Next, the energy storage data associated with the load node per unit time is extracted and denoted as CN. i The total electricity consumption data stored at the current load node is confirmed and recorded as ZY. i Using: ZY i ÷(XH i -CN i =TS i Confirmation of Feature Time TS i And based on the confirmed characteristic time TS i And at the current moment, confirm the energy storage moment, and the time length between the energy storage moment and the current moment is the characteristic time TS. i ; The energy storage times associated with different load nodes are determined sequentially, and the confirmed energy storage times are sorted according to their time sequence to confirm the time sequence.

6. The power energy balance and allocation method for new energy power plants according to claim 1, characterized in that, In step four, the specific methods for executing different load balancing processes are as follows: Using the current time as the base time and taking the base time as the first time of the time sequence, the time periods between adjacent times are associated with each other. The associated time period is the time corresponding to the load node associated with the next time. Different load nodes have different associated time periods. Different load balancing logics are executed within different associated time periods corresponding to different load nodes: the energy storage data associated with each power station node at the beginning of the associated time period is denoted as CN. i Where i represents different power plants, the energy storage data associated with each different power plant node is proportionally allocated, starting from 1% and gradually increasing the proportion until the energy storage data associated with the load node satisfies: CN i ≥XH i Stop when the time is right, record the energy storage data of each different power station node in the associated time period and execute, and complete the load balancing process for this associated time period. For subsequent associated time periods, use the same load balancing method to complete the load balancing process for the load nodes.

7. A power energy balancing and dispatching system for new energy power plants, the system operating according to any one of claims 1-7, characterized in that, include: The load node marking terminal monitors the real-time electricity consumption data associated with different power station nodes of the new energy power station in real time, compares the monitored real-time electricity consumption data with preset values, assesses whether the power station node is in a load state, and marks it as a load node. The power factor confirmation end confirms the power factor of the load node and identifies whether its power factor meets the standard. If it does not meet the standard, the multi-terminal operating parameters associated with this load node are adjusted. If it meets the standard, the subsequent balancing and allocation process is executed. The time sequence marker end determines a set of monitoring cycles, confirms the maximum electricity consumption data associated with the load node within the monitoring cycle, identifies the energy storage time associated with the load node based on the energy storage data of the corresponding load node, sorts the energy storage times associated with different load nodes, and confirms the time sequence. The energy storage process associated with different load nodes is balanced and allocated based on the different time sequences confirmed between different load nodes. Different energy storage processes are executed according to the different time periods associated with the time sequences.

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