Power balancing method and management system for power system source-grid-load-storage collaboration

Abstract

The present invention provides a power balancing method and management system for power system source-grid-load-storage collaboration, relating to the field of data processing technology. The method broadcasts a power balancing dispatch instruction to power generation equipment, load equipment, and energy storage equipment through a power dispatching platform. Then, the power generation equipment responds to the power balancing dispatch instruction, obtains power generation characteristic parameters within the next preset measurement cycle, and determines a predicted power generation amount based on the power generation characteristic parameters. The power generation equipment responds to the power balancing dispatch instruction, obtains the current actual stored power of the energy storage equipment, and the load equipment responds to the power balancing dispatch instruction, obtains the predicted power consumption within the next preset measurement cycle. The power dispatching platform determines the power balancing dispatch parameters based on the predicted power generation amount, the actual stored power, and the predicted power consumption, and then adjusts the power balancing dispatch parameters based on real-time data, thereby more efficiently utilizing the resources of the power generation equipment and the energy storage equipment.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a power balancing method and management system for power system source-grid-load-storage collaboration. Background Art

[0002] With the continuous development of the power system, its complexity and scale are increasing. How to ensure the stable operation of the power system and achieve the optimal allocation of power resources has become an urgent problem to be solved.

[0003] Traditional power management methods often focus on a single link of power generation, transmission, or distribution, while ignoring the synergy between the power source (power generation equipment), grid (power network), load (load equipment), and storage (energy storage equipment) within the power system. In existing technologies, source-grid-load-storage integration refers to the construction of a new power system with a high degree of integration of source, grid, load, and storage by optimizing and integrating local power supply, grid, load, and energy storage resources. Distributed energy sources such as solar and wind power, the grid, load, and energy storage systems are integrated to achieve multi-energy complementarity and coordinated operation. This decentralized management approach can easily lead to problems such as imbalances in power supply and demand, energy waste, and decreased power system stability. Therefore, how to more effectively utilize the resources of power generation and energy storage equipment and reduce energy waste has become an urgent issue to be addressed. Summary of the Invention

[0004] The present invention provides an electric power balancing method and management system for power system source-grid-load-storage coordination, which is used to more effectively utilize the resources of power generation equipment and energy storage equipment, thereby not only reducing energy waste but also improving the resource utilization efficiency of the entire power system.

[0005] In a first aspect, the present invention provides a power balancing method for power system source-grid-load-storage coordination, which is applied to a power management system, wherein the power management system includes: a power dispatching platform and power generation equipment, load equipment, and energy storage equipment connected via a power network; the method includes:

[0006] The power dispatching platform broadcasts power balancing dispatching instructions to the power generation equipment, the load equipment and the energy storage equipment;

[0007] The power generation equipment responds to the power balance scheduling instruction, obtains power generation characteristic parameters within a next preset measurement period, determines a predicted power generation according to the power generation characteristic parameters, and sends the predicted power generation to the power scheduling platform;

[0008] The power generation device obtains the actual current storage capacity of the energy storage device in response to the power balance scheduling instruction, and sends the actual storage capacity to the power scheduling platform;

[0009] The load device obtains the predicted power consumption in the next preset measurement period in response to the power balancing scheduling instruction, and sends the predicted power consumption to the power scheduling platform;

[0010] The power dispatching platform determines power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption. The power balance dispatching parameters include a power balance dispatching period and a power balance dispatching vector. The balance dispatching vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balance dispatching period.

[0011] The power generation equipment is a photovoltaic power generation equipment; correspondingly, obtaining the power generation characteristic parameters within the next preset measurement period and determining the predicted power generation according to the power generation characteristic parameters include:

[0012] The power generation equipment determines the predicted power generation according to the illumination characteristic parameter and the temperature characteristic parameter in the power generation characteristic parameters.

[0013] In the above solution, by acquiring the power generation characteristic parameters of power generation equipment, the predicted power consumption of load equipment, and the current actual storage capacity of energy storage equipment in real time, power balancing scheduling parameters can be quickly calculated, thereby improving power balancing efficiency. Subsequently, by comprehensively considering data from power generation, load, and energy storage, more reasonable power balancing scheduling parameters can be formulated, helping to avoid imbalances in power supply and demand, thereby enhancing the stability of the power system. Furthermore, adjusting power balancing scheduling parameters based on real-time data enables more efficient utilization of power generation and energy storage resources. This not only reduces energy waste but also improves resource utilization efficiency across the entire power system. Furthermore, power balancing scheduling instructions are broadcast to power generation equipment, load equipment, and energy storage equipment via the power dispatch platform, enabling coordinated control among these three components. This coordinated control helps ensure that all aspects of the power system operate according to the predetermined plan, thereby improving the coordination and consistency of the entire system.

[0014] It's worth noting that by comprehensively considering the generation characteristics of photovoltaic power generation equipment, such as the light intensity curve, ambient temperature curve, and light angle curve, it is possible to more accurately predict the power generation within the next preset measurement period. Based on the predicted power generation, the power dispatching platform can combine the predicted power consumption of the load equipment and the actual storage capacity of the energy storage device to formulate more reasonable power balancing scheduling parameters, thereby optimizing the photovoltaic power generation scheduling strategy. Under conditions of sufficient sunlight, suitable temperatures, and appropriate light angles, photovoltaic power generation equipment can fully utilize its power generation capacity and provide more energy to the power system. Under adverse conditions such as insufficient sunlight or excessively high temperatures, the power dispatching platform can proactively adjust the scheduling strategy to reduce inefficient operation of photovoltaic power generation equipment, thereby improving resource utilization. Achieving accurate power generation forecasts through this solution helps the power dispatching platform better understand the fluctuations in photovoltaic power generation, thereby formulating more stable power dispatch plans and enhancing the stability of the power system.

[0015] Optionally, the load device obtains the predicted power consumption in the next preset measurement period in response to the power balancing scheduling instruction, including:

[0016] The load device determines the predicted power consumption in the next preset measurement cycle based on the power consumption in the current preset measurement cycle, the power consumption in the previous preset measurement cycle, and the predicted power consumption in the previous preset measurement cycle in the historical power consumption of the load device.

[0017] Optionally, the predicted power consumption in the next preset measurement period is obtained by the following formula:

[0018]

[0019] in, The predicted power consumption in the next preset measurement period, To preset the speed adjustment parameters, The power consumption in the current preset measurement period in the historical power consumption. The power consumption in the last preset measurement cycle in the historical power consumption. The predicted power consumption during the last preset measurement period.

[0020] In the above solution, by comprehensively considering the load device's historical power consumption data, including power consumption during the current preset measurement period, power consumption during the previous preset measurement period, and predicted power consumption during the previous preset measurement period, a more accurate power consumption forecast for the next preset measurement period can be achieved. This historical data-based forecasting method fully utilizes the time series characteristics of load device power consumption, improving the accuracy and reliability of the forecast. Accurate power consumption forecast data provides an important decision-making basis for the power dispatching platform. Based on the predicted power consumption, the power dispatching platform can combine the predicted power generation of power generation equipment and the actual storage capacity of energy storage equipment to formulate more reasonable power balancing dispatch parameters. This not only helps balance the supply and demand of the power system, but also effectively reduces the occurrence of power shortages or surpluses, thereby improving the overall operational efficiency of the power system. Furthermore, based on accurate power consumption forecasts, load devices can operate more stably. The power dispatching platform can adjust the operating status of load devices in advance based on the forecast results, avoiding equipment failure or damage caused by insufficient or excessive power supply. This also helps extend the service life of load devices and reduce maintenance and replacement costs.

[0021] Optionally, the power dispatching platform determines power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, including:

[0022] If the power dispatching platform determines that the characteristic ratio between the predicted power generation and the predicted power consumption is greater than or equal to a preset safety threshold, the power dispatching platform determines a first balance dispatching vector and a second balance dispatching vector based on the predicted power generation and the predicted power consumption. The first balance dispatching vector is used to instruct the power generation equipment to output the electric energy of the predicted power consumption to the load equipment within the power balance dispatching period, and the second balance dispatching vector is used to instruct the power generation equipment to output the electric energy of the difference between the predicted power generation and the predicted power consumption to the energy storage equipment within the power balance dispatching period. The power balance dispatching vector includes the first balance dispatching vector and the second balance dispatching vector.

[0023] In the above scheme, when the power dispatching platform determines that the characteristic ratio between predicted power generation and predicted power consumption is greater than or equal to a preset safety threshold, it means that the predicted power generation of the power generation equipment can meet or even exceed the predicted power consumption of the load equipment. At this point, the power dispatching platform determines a first balancing dispatch vector to ensure that the power generation equipment supplies energy equal to the predicted power consumption to the load equipment during the power balancing dispatch period, thereby meeting the load equipment's power demand. Simultaneously, by determining a second balancing dispatch vector, it instructs the power generation equipment to supply energy equal to the difference between the predicted power generation and predicted power consumption to the energy storage device, thereby achieving optimal energy storage. This strategy helps optimize the supply and demand balance of the power system and ensure a stable supply of electricity. When the predicted power generation is sufficient, the power dispatching platform uses the second balancing dispatch vector to direct the power generation equipment to transfer excess energy to the energy storage device for storage. This not only avoids energy waste but also allows the energy storage device to release energy during subsequent peak power demand periods or when power generation capacity is insufficient, ensuring stable operation of the power system. Therefore, this technical effect helps improve the efficient utilization of energy storage devices and achieve optimal energy allocation. Through intelligent scheduling on the power dispatching platform, the operating status of power generation equipment and energy storage equipment can be flexibly adjusted based on the ratio of predicted power generation to predicted power consumption, achieving rational distribution and efficient utilization of electricity. This helps reduce the occurrence of power shortages or surpluses, lowers the operating costs of the power system, and improves the overall efficiency of the power system. As can be seen, the above solution, by introducing the concepts of power balance dispatch parameters and balance dispatch vectors, enables the power dispatching platform to flexibly adjust the power balance dispatch strategy based on the real-time operating status of the power system. This helps enhance the flexibility and reliability of the power system, improve the power system's ability to respond to emergencies, and ensure its stable operation.

[0024] Optionally, the power dispatching platform determines power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, including:

[0025] If the power dispatching platform determines that the characteristic ratio between the predicted power generation and the predicted power consumption is less than a preset safety threshold, the power dispatching platform determines a third balance dispatching vector and a fourth balance dispatching vector based on the predicted power generation and the predicted power consumption. The third balance dispatching vector is used to indicate that the power generation device outputs the electric energy of the predicted power consumption to the load device within the power balance dispatching period, and the fourth balance dispatching vector is used to indicate that the energy storage device outputs the electric energy of the absolute value of the difference between the predicted power generation and the predicted power consumption to the load device within the power balance dispatching period. The power balance dispatching vector includes the third balance dispatching vector and the fourth balance dispatching vector.

[0026] In the above scheme, when the power dispatching platform determines that the characteristic ratio between the predicted power generation and predicted power consumption is less than a preset safety threshold, this means that the predicted power generation of the power generation equipment cannot meet the predicted power consumption of the load equipment. In this case, the power dispatching platform determines a third balancing dispatch vector to ensure that the power generation equipment supplies energy equal to the predicted power consumption to the load equipment during the power balancing dispatch period, even though this energy may not be sufficient to fully meet the load demand. More importantly, the power dispatching platform also determines a fourth balancing dispatch vector, instructing the energy storage equipment to supply energy equal to the absolute difference between the predicted power generation and predicted power consumption to the load equipment during the power balancing dispatch period. This effectively supplements the power supply shortage of the power generation equipment and ensures the stability and reliability of the power supply. In the event of a predicted power generation shortage, the emergency response capabilities of energy storage equipment, as a vital component of the power system, are particularly important. Guided by the fourth balancing dispatch vector, the energy storage equipment can quickly provide the required energy to the load equipment, effectively alleviating the pressure of power shortages. This technical effect not only improves the emergency response capabilities of the energy storage equipment but also enhances the risk resilience of the entire power system.

[0027] In situations where power supply and demand are unbalanced, the power dispatch platform optimizes the allocation of power resources by rationally determining the third and fourth balancing dispatch vectors. This ensures the basic power needs of load equipment while also preventing serious consequences such as system failures or large-scale blackouts caused by power shortages through supplemental power from energy storage devices. This optimized allocation strategy helps reduce power system operating costs and improve the efficiency of power resource utilization.

[0028] It can be seen that when determining the power balance dispatching parameters, the power dispatching platform needs to comprehensively consider multiple factors such as predicted power generation, actual stored power, and predicted power consumption, and flexibly adjust the direction and size of the balance dispatching vector according to the size of the characteristic ratio, thereby promoting the improvement of the intelligence and automation level of the power system.

[0029] Optionally, the power dispatching platform determines the power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, further comprising:

[0030] The power dispatching platform updates the power balance dispatching period according to the characteristic ratio.

[0031] In the above solution, the power dispatching platform updates the power balance dispatching cycle based on the characteristic ratio (i.e., the ratio between predicted power generation and predicted power consumption). By real-time monitoring and analyzing the operating status of the power system, the power dispatching platform can dynamically adjust the dispatching cycle to better adapt to changes in the power system and ensure the stability and reliability of power supply. Updating the power balance dispatching cycle helps the power dispatching platform more accurately schedule power production and consumption, thereby optimizing the allocation of power resources. In the event of an imbalance in power supply and demand, by adjusting the dispatching cycle, the power dispatching platform can better coordinate the operation of power generation equipment and energy storage equipment, ensuring the full utilization of power resources and avoiding waste and shortages. This technical effect helps improve the overall efficiency of the power system and reduce operating costs.

[0032] Furthermore, the power dispatch platform updates the power balance dispatch cycle based on the characteristic ratio, helping to enhance the stability and security of the power system. By dynamically adjusting the dispatch cycle, the power dispatch platform can more effectively respond to emergencies and abnormal conditions in the power system, such as power shortages and equipment failures. This technical effect helps ensure the stable operation of the power system and avoid serious consequences such as large-scale power outages. Furthermore, the process of updating the power balance dispatch cycle based on the characteristic ratio promotes the advancement of the power system's intelligence and automation, making power dispatch more accurate, efficient, and reliable.

[0033] Optionally, after the power dispatching platform determines the power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, the further step includes:

[0034] The power dispatching platform sends the power balancing dispatching parameters to the power generation equipment and the energy storage equipment, so that the power generation equipment and / or the energy storage equipment transfer electric energy according to the power balancing dispatching parameters.

[0035] In the above solution, the power dispatch platform determines the power balancing dispatch parameters and promptly transmits them to the power generation equipment and energy storage devices, ensuring precise power system regulation. Based on the received power balancing dispatch parameters, the power generation equipment and energy storage devices accurately adjust their power output or storage status, thereby achieving a balance between supply and demand in the power system. This precise regulation helps avoid power surpluses or shortages and ensures stable operation of the power system.

[0036] By transmitting power balancing dispatch parameters through the power dispatch platform, power generation equipment and energy storage devices can transfer power based on actual demand, thereby improving the efficiency of power resource utilization. During peak power demand periods, power generation equipment can increase power output, while energy storage devices can release stored power when necessary to meet load demand. During low power demand periods, power generation equipment can reduce power output, while energy storage devices can store excess power for future use. This flexible power transfer method helps reduce power system operating costs and improve overall economic benefits.

[0037] Furthermore, the power dispatch platform transmits power balancing dispatch parameters to power generation equipment and energy storage devices, enabling them to rapidly respond to changes in the power system. In the event of power supply and demand imbalances or emergencies, power generation equipment and energy storage devices can quickly adjust based on the power balancing dispatch parameters, ensuring power system stability and reliability. This rapid response helps reduce the risk of power system failures and improves the user experience.

[0038] In a second aspect, the present invention provides a power management system, comprising: a power dispatching platform and power generation equipment, load equipment, and energy storage equipment connected via a power network, wherein the power generation equipment, the load equipment, and the energy storage equipment are respectively communicatively connected to the power dispatching platform;

[0039] The power dispatching platform broadcasts power balancing dispatching instructions to the power generation equipment, the load equipment and the energy storage equipment;

[0040] The power generation equipment responds to the power balance scheduling instruction, obtains power generation characteristic parameters within a next preset measurement period, determines a predicted power generation according to the power generation characteristic parameters, and sends the predicted power generation to the power scheduling platform;

[0041] The power generation device obtains the actual current storage capacity of the energy storage device in response to the power balance scheduling instruction, and sends the actual storage capacity to the power scheduling platform;

[0042] The load device obtains the predicted power consumption in the next preset measurement period in response to the power balancing scheduling instruction, and sends the predicted power consumption to the power scheduling platform;

[0043] The power dispatching platform determines the power balance dispatching parameters based on the predicted power generation, the actual stored power and the predicted power consumption. The power balance dispatching parameters include a power balance dispatching period and a power balance dispatching vector. The balance dispatching vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balance dispatching period.

[0044] The first balancing scheduling vector is used to instruct the power generation device to output electric energy equal to the predicted power consumption to the load device within the power balancing scheduling period. The second balancing scheduling vector is used to instruct the power generation device to output electric energy equal to the difference between the predicted power generation and the predicted power consumption to the energy storage device within the power balancing scheduling period.

[0045] The power generation equipment is a photovoltaic power generation equipment; correspondingly, obtaining the power generation characteristic parameters within the next preset measurement period and determining the predicted power generation according to the power generation characteristic parameters include:

[0046] The power generation equipment determines the predicted power generation according to the illumination characteristic parameter and the temperature characteristic parameter in the power generation characteristic parameters.

[0047] In a third aspect, the present invention provides an electronic device, comprising:

[0048] processor; and,

[0049] a memory for storing executable instructions of the processor;

[0050] The processor is configured to perform any possible method described in the first aspect by executing the executable instructions.

[0051] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement any possible method described in the first aspect.

[0052] The present invention provides a power balancing method for power system source-grid-load-storage collaboration, which broadcasts a power balancing dispatch instruction to power generation equipment, load equipment, and energy storage equipment through a power dispatching platform. Then, the power generation equipment responds to the power balancing dispatch instruction, obtains power generation characteristic parameters within the next preset measurement period, determines a predicted power generation amount based on the power generation characteristic parameters, and sends the predicted power generation amount to the power dispatching platform. The power generation equipment responds to the power balancing dispatch instruction, obtains the current actual stored power of the energy storage device, and sends the actual stored power to the power dispatching platform. The load equipment responds to the power balancing dispatch instruction, obtains the predicted power consumption within the next preset measurement period, and sends the predicted power consumption to the power dispatching platform, so that the power dispatching platform determines the power balancing dispatch parameters based on the predicted power generation amount, the actual stored power, and the predicted power consumption. The power balancing dispatch parameters include a power balancing dispatch period and a power balancing dispatch vector. The balancing dispatch vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balancing dispatch period. The power balancing dispatch parameters are then adjusted according to real-time data, which can more effectively utilize the resources of the power generation equipment and the energy storage equipment, not only reducing energy waste but also improving the resource utilization efficiency of the entire power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the application.

[0054] Figure 1 This is a flow chart of a method for balancing power sources, grids, loads, and storage in a power system according to an exemplary embodiment of the present invention;

[0055] Figure 2 1 is a flow chart of a power balancing method for power system source-grid-load-storage coordination according to another exemplary embodiment of the present invention;

[0056] Figure 3 is a schematic structural diagram of a power management system according to an exemplary embodiment of the present invention;

[0057] Figure 4 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present invention.

[0058] The above drawings illustrate specific embodiments of the present invention, which will be described in more detail below. These drawings and the accompanying description are not intended to limit the scope of the present invention in any way, but rather to illustrate the concepts of the present invention for those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0059] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0060] With the rapid development of power systems and the transformation of energy structures, achieving coordinated optimization of power generation, grid, load, and storage in power systems, ensuring a balanced supply and demand, and improving energy efficiency have become important research areas in power technology. This paper proposes a power balancing method for power generation, grid, load, and storage coordination in power systems. This method aims to achieve efficient coordination among power generation equipment, load equipment, and energy storage equipment through real-time data acquisition, intelligent prediction, and dynamic scheduling, thereby ensuring the stable operation of the power system.

[0061] The core concept of the embodiments provided by this invention is to construct a power management system that includes a power dispatching platform, power generation equipment, load equipment, and energy storage equipment. Using the power dispatching platform as the hub, the system collects the power generation characteristic parameters of the power generation equipment, the predicted power consumption of the load equipment, and the actual stored power of the energy storage equipment in real time. Advanced prediction algorithms and dispatching strategies are then used to dynamically determine power balance dispatching parameters, including the power balance dispatching cycle and the power balance dispatching vector. These parameters guide the power output direction and power output of the power generation equipment and energy storage equipment within the power balance dispatching cycle, thereby achieving a balance between supply and demand in the power system.

[0062] The main innovations of the embodiments provided by the present invention are as follows:

[0063] Real-time data collection and intelligent prediction: Power generation equipment can acquire characteristic power generation parameters within the next preset measurement cycle in real time, such as the light intensity curve, ambient temperature curve, and light angle curve (for photovoltaic power generation equipment). These parameters can be used to accurately predict power generation. Load equipment uses time series prediction methods based on historical power consumption data to accurately predict power consumption within the next preset measurement cycle. Energy storage devices report the current actual stored power in real time, providing important reference for power dispatch.

[0064] Dynamic Power Balancing and Dispatching: The power dispatch platform dynamically calculates power balancing and dispatching parameters based on real-time data collected from predicted power generation, actual stored power, and predicted power consumption. By comparing a characteristic ratio (the ratio of predicted power generation to predicted power consumption) with a preset safety threshold, the power balancing and dispatching strategy can be flexibly adjusted. When the characteristic ratio is greater than or equal to the preset safety threshold, load demand is prioritized, and excess energy is stored in energy storage devices. When the characteristic ratio is less than the preset safety threshold, energy storage devices are used to supplement power to ensure load demand is met.

[0065] Dynamic Update of Dispatch Cycles: The power dispatch platform dynamically updates the power balance dispatch cycle based on characteristic ratios to adapt to real-time changes in the power system. This dynamic adjustment mechanism improves the flexibility and adaptability of power dispatch, helping to optimize power resource allocation and improve system efficiency.

[0066] Collaborative control and precise regulation: Power balancing dispatch instructions are broadcasted to power generation equipment, load equipment, and energy storage equipment through the power dispatch platform, enabling coordinated control among the three. This coordinated control ensures that all aspects of the power system operate according to the predetermined plan, improving system coordination and consistency. Power generation equipment and energy storage equipment are precisely regulated based on the received power balancing dispatch parameters, achieving the appropriate transmission and distribution of electrical energy and avoiding power surpluses or shortages.

[0067] Figure 1 FIG. 1 is a flow chart of a power balancing method for power system source-grid-load-storage coordination according to an exemplary embodiment of the present invention. Figure 1 As shown, the power balancing method for power system source-grid-load-storage coordination provided by this embodiment includes:

[0068] S101. The power dispatching platform broadcasts power balancing dispatching instructions to power generation equipment, load equipment, and energy storage equipment.

[0069] The power balancing method for power system source-grid-load-storage coordination provided in this embodiment can be applied to a power management system. The power management system includes: a power dispatching platform and power generation equipment, load equipment, and energy storage equipment connected through the power network. The power generation equipment, load equipment, and energy storage equipment are respectively connected to the power dispatching platform in communication. The implementation methods and functions of each part of the power management system are as follows:

[0070] Power Dispatch Platform: The power dispatch platform is the hub of the entire power management system, responsible for collecting, processing, and analyzing real-time data from power generation equipment, load equipment, and energy storage equipment. Based on this data, it uses advanced algorithms and models to develop a reasonable power balance dispatch plan and issue dispatch instructions to relevant equipment.

[0071] Power generation equipment: Power generation equipment is the energy source of the power system. It can be renewable energy generation equipment such as photovoltaic power generation equipment, wind power generation equipment, and hydropower generation equipment, or traditional thermal power generation equipment. These devices can respond to instructions from the power dispatch platform and adjust their power generation to meet the supply and demand balance of the power system.

[0072] Load devices: Load devices are energy consumers in the power system, including various industrial equipment, household appliances, and lighting fixtures. These devices receive power from the power network and consume it based on actual demand. They also provide power consumption forecasts to the power dispatching platform, providing a basis for power balancing and dispatching.

[0073] Energy storage equipment: Energy storage equipment is a critical component of the power system, used to store energy during periods of excess power and release it during periods of shortage. It responds to commands from the power dispatching platform and adjusts its charge and discharge status to smooth out fluctuations in power supply and demand.

[0074] Power network: The power network is not only a transmission channel for electric energy, but also a medium for communication between power generation equipment, load equipment and energy storage equipment. Through the power network, these devices can realize real-time transmission of data and accurate issuance of instructions. In addition, communication protocols and interfaces can be set. In order to ensure smooth communication between devices, a unified communication protocol and interface standard can be adopted in the embodiment of the present invention. The power generation equipment, load equipment and energy storage equipment are all equipped with communication modules that comply with the standard, and can communicate stably and efficiently with the power dispatching platform. During the communication process, the embodiment of the present invention can also take a variety of security measures, such as data encryption, identity authentication, etc., to ensure the confidentiality and integrity of the data. At the same time, by establishing redundant communication paths and fault switching mechanisms, the reliability and stability of the communication system are improved.

[0075] In this step, the power dispatch platform generates power balancing dispatch instructions based on the power system's real-time operating status and forecasted demand. The platform broadcasts these instructions to power generation equipment, load equipment, and energy storage devices via communication links. These instructions include, but are not limited to, power balancing dispatch requirements, timelines, and parameter settings.

[0076] S102 : The power generation equipment obtains power generation characteristic parameters within a next preset measurement period in response to the power balance scheduling instruction, and determines a predicted power generation amount according to the power generation characteristic parameters.

[0077] In this step, the power generation equipment responds to the power balance scheduling instruction, obtains the power generation characteristic parameters within the next preset measurement cycle, determines the predicted power generation based on the power generation characteristic parameters, and sends the predicted power generation to the power scheduling platform.

[0078] Specifically, the power generation equipment responds to the power balancing dispatch command and obtains characteristic power generation parameters for the next preset measurement period. These parameters may include light intensity curves (for photovoltaic power generation equipment), ambient temperature curves, and light angle curves. Based on these characteristic power generation parameters, the power generation equipment uses its built-in prediction algorithm or model to determine the predicted power generation output. The power generation equipment then sends this predicted power generation data to the power dispatch platform for subsequent calculation of power balancing dispatch parameters.

[0079] S103: The power generation equipment obtains the actual current storage capacity of the energy storage equipment in response to the power balance scheduling instruction.

[0080] In this step, the power generation equipment responds to the power balance scheduling instruction, obtains the current actual storage power of the energy storage device, and sends the actual storage power to the power scheduling platform.

[0081] Specifically, the power generation equipment also responds to the power balance dispatch instruction to obtain the actual current storage capacity of the energy storage device and sends the actual storage capacity data to the power dispatch platform to reflect the current status of the energy storage device.

[0082] S104: The load device responds to the power balance scheduling instruction and obtains the predicted power consumption in the next preset measurement period.

[0083] In this step, the load device responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period, and sends the predicted power consumption to the power scheduling platform.

[0084] Specifically, the load device responds to the power balance dispatch instruction, uses historical power consumption data and prediction algorithms to obtain the predicted power consumption within the next preset measurement period, and sends the predicted power consumption data to the power dispatch platform.

[0085] In one possible design, the load device determines the predicted power consumption for the next preset measurement period based on its historical power consumption data, including power consumption during the current preset measurement period, power consumption during the previous preset measurement period, and predicted power consumption during the previous preset measurement period. By comprehensively considering the load device's historical power consumption data, including power consumption during the current preset measurement period, power consumption during the previous preset measurement period, and predicted power consumption during the previous preset measurement period, a more accurate prediction of power consumption for the next preset measurement period can be achieved. This historical data-based prediction method fully leverages the time series characteristics of load device power consumption, improving the accuracy and reliability of the prediction. Accurate power consumption forecast data provides an important decision-making basis for the power dispatching platform. Based on the predicted power consumption, the power dispatching platform can formulate more reasonable power balancing dispatch parameters by combining the predicted power generation of power generation equipment and the actual storage capacity of energy storage equipment. This not only helps balance the supply and demand of the power system, but also effectively reduces the occurrence of power shortages or surpluses, thereby improving the overall operational efficiency of the power system. Furthermore, based on accurate power consumption forecasts, load devices can operate more stably. The power dispatching platform can proactively adjust the operating status of load devices based on the forecast results to avoid equipment failure or damage caused by insufficient or excessive power supply. At the same time, this also helps to extend the service life of load equipment and reduce maintenance and replacement costs.

[0086] S105. The power dispatching platform determines power balance dispatching parameters according to the predicted power generation, actual stored power, and predicted power consumption.

[0087] In this step, the power dispatching platform determines the power balance dispatching parameters based on the predicted power generation, actual stored power and predicted power consumption. The power balance dispatching parameters include the power balance dispatching period and the power balance dispatching vector. The balance dispatching vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balance dispatching period.

[0088] Specifically, the power dispatch platform collects the predicted power generation and actual stored power reported by power generation equipment, as well as the predicted power consumption reported by load equipment. Based on this collected data, the power dispatch platform uses built-in algorithms or models to calculate power balancing dispatch parameters. These parameters include the power balancing dispatch period and the power balancing dispatch vector. The power balancing dispatch period determines the execution time range of power balancing dispatch. The power balancing dispatch vector determines the power output direction and power output of power generation equipment and energy storage equipment within the power balancing dispatch period.

[0089] If the characteristic ratio between predicted power generation and predicted power consumption is greater than or equal to a preset safety threshold, the power dispatch platform prioritizes meeting load demand and stores excess energy in energy storage devices. If the characteristic ratio is less than the preset safety threshold, the power dispatch platform replenishes energy from energy storage devices to ensure that load demand is met. The power dispatch platform can also dynamically update the power balance dispatch cycle based on the characteristic ratio to adapt to real-time changes in the power system.

[0090] In this embodiment, a power balancing dispatch instruction is broadcast to power generation equipment, load equipment, and energy storage equipment through a power dispatching platform. Then, the power generation equipment responds to the power balancing dispatch instruction, obtains the power generation characteristic parameters within the next preset measurement period, and determines the predicted power generation based on the power generation characteristic parameters, and sends the predicted power generation to the power dispatching platform. The power generation equipment responds to the power balancing dispatch instruction, obtains the current actual stored power of the energy storage device, and sends the actual stored power to the power dispatching platform. The load equipment responds to the power balancing dispatch instruction, obtains the predicted power consumption within the next preset measurement period, and sends the predicted power consumption to the power dispatching platform, so that the power dispatching platform determines the power balancing dispatch parameters based on the predicted power generation, actual stored power, and predicted power consumption. The power balancing dispatch parameters include a power balancing dispatch period and a power balancing dispatch vector. The balancing dispatch vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balancing dispatch period, and then adjusts the power balancing dispatch parameters according to real-time data. This can more effectively utilize the resources of the power generation equipment and the energy storage equipment, not only reducing energy waste, but also improving the resource utilization efficiency of the entire power system.

[0091] Figure 2 FIG is a flow chart of a power balancing method for power system source-grid-load-storage coordination according to another exemplary embodiment of the present invention. Figure 2 As shown, the power balancing method for power system source-grid-load-storage coordination provided by this embodiment includes:

[0092] S201. The power dispatching platform broadcasts power balancing dispatching instructions to power generation equipment, load equipment, and energy storage equipment.

[0093] In this step, the power dispatch platform generates power balancing dispatch instructions based on the power system's real-time operating status and forecasted demand. The platform broadcasts these instructions to power generation equipment, load equipment, and energy storage devices via communication links. These instructions include, but are not limited to, power balancing dispatch requirements, timelines, and parameter settings.

[0094] S202 : The power generation equipment obtains power generation characteristic parameters within a next preset measurement period in response to the power balance scheduling instruction, and determines a predicted power generation amount according to the power generation characteristic parameters.

[0095] In this step, the power generation equipment responds to the power balance scheduling instruction, obtains the power generation characteristic parameters within the next preset measurement cycle, determines the predicted power generation based on the power generation characteristic parameters, and sends the predicted power generation to the power scheduling platform.

[0096] It is worth noting that if the power generation equipment is a photovoltaic power generation equipment, the power generation equipment uses Formula 1 and determines the predicted power generation according to the power generation characteristic parameters. Formula 1 is:

[0097]

[0098] in, To predict power generation, is the starting time of the next preset measurement cycle, is the end time of the next preset measurement cycle, is the calibrated photoelectric conversion coefficient of photovoltaic power generation equipment, The light intensity curve for the next preset measurement cycle, The maximum light receiving area of the photovoltaic power generation equipment, is the preset temperature attenuation coefficient, The ambient temperature curve for the next preset measurement cycle, To calibrate the reference ambient temperature, The illumination angle curve for the next preset measurement cycle, is the preset angle adjustment coefficient, To calibrate the lighting angle.

[0099] In the above scheme, by comprehensively considering multiple factors such as light intensity, ambient temperature, and light angle, and introducing corresponding adjustment coefficients, Formula 1 can more accurately reflect the actual power generation characteristics of photovoltaic power generation equipment, thereby improving the accuracy of power generation forecasts. Since photovoltaic power generation is significantly affected by natural environmental factors, the prediction method using Formula 1 can better adapt to different weather conditions and seasonal variations, enabling the power dispatch platform to formulate more reasonable power balance scheduling strategies. Accurate power generation forecasts help the power dispatch platform more rationally allocate resources between power generation equipment and energy storage equipment. When power generation is predicted to be sufficient, photovoltaic power generation equipment can be prioritized to reduce reliance on traditional energy sources. When power generation is predicted to be insufficient, the charging and discharging schedules of energy storage equipment can be adjusted in advance to ensure stable operation of the power system. By obtaining and forecasting photovoltaic power generation in real time, the power dispatch platform can more promptly identify supply and demand imbalances in the power system and take appropriate scheduling measures to adjust them, thereby enhancing the stability and reliability of the power system.

[0100] In other words, Formula 1 comprehensively considers multiple key factors affecting PV power generation, including light intensity, ambient temperature, and illumination angle. By incorporating these factors into the calculation model, the actual power generation characteristics of PV power generation equipment are more comprehensively reflected. The introduction of parameters such as the calibrated photoelectric conversion coefficient, preset temperature attenuation coefficient, calibrated reference ambient temperature, preset angle adjustment coefficient, and calibrated illumination angle further enhances the precision and accuracy of the prediction. These parameters, derived from the physical characteristics of PV power generation equipment and historical operating data, more accurately describe the changes in PV power generation under different conditions. Furthermore, because Formula 1 calculates and predicts PV power generation in real time, the power dispatching platform can quickly adjust power balancing scheduling strategies based on the latest forecast results. This flexibility helps the power system better respond to emergencies and demand fluctuations, ensuring supply and demand balance. By updating the predicted power generation in real time, the power dispatching platform can more precisely control the operating status of power generation and energy storage equipment, optimize resource allocation, and improve the overall operational efficiency of the power system. Accurate power generation forecasts help the power dispatching platform more rationally schedule the operation of PV power generation equipment, reducing inefficient operation and energy waste. By optimizing power balancing and dispatching strategies, we can also reduce losses during grid transmission, further improve energy efficiency, and promote the achievement of energy conservation and emission reduction goals. Furthermore, accurate power generation forecasts help the power dispatching platform better meet user electricity needs, reducing the occurrence of power shortages or surpluses. This helps enhance user experience and strengthen their trust and satisfaction with the power system. By achieving balanced supply and demand and stable operation of the power system, we can also reduce the risk of power outages and equipment failures, further improving user reliability and safety.

[0101] S203: The power generation equipment obtains the actual current storage capacity of the energy storage equipment in response to the power balance scheduling instruction.

[0102] In this step, the power generation equipment responds to the power balance scheduling instruction, obtains the current actual storage power of the energy storage device, and sends the actual storage power to the power scheduling platform.

[0103] Specifically, the power generation equipment also responds to the power balance dispatch instruction to obtain the actual current storage capacity of the energy storage device and sends the actual storage capacity data to the power dispatch platform to reflect the current status of the energy storage device.

[0104] S204: The load device obtains the predicted power consumption within the next preset measurement period in response to the power balance scheduling instruction.

[0105] In this step, the load device responds to the power balance scheduling instruction, obtains the predicted power consumption in the next preset measurement period, and sends the predicted power consumption to the power scheduling platform.

[0106] Specifically, the load device responds to the power balance dispatch instruction, uses historical power consumption data and prediction algorithms to obtain the predicted power consumption within the next preset measurement period, and sends the predicted power consumption data to the power dispatch platform.

[0107] It is worth noting that the load device uses Formula 2 and determines the predicted power consumption in the next preset measurement period based on the historical power consumption of the load device. Formula 2 is:

[0108]

[0109] in, The predicted power consumption in the next preset measurement period, To preset the speed adjustment parameters, The power consumption in the current preset measurement period in the historical power consumption. The power consumption in the last preset measurement cycle in the historical power consumption. The predicted power consumption during the last preset measurement period.

[0110] It's worth noting that Formula 2 above more accurately predicts the power consumption for the next preset measurement period by comprehensively considering the load device's historical power consumption data, including power consumption during the current preset measurement period, power consumption during the previous preset measurement period, and predicted power consumption during the previous preset measurement period. The introduction of a preset change rate adjustment parameter enables the prediction model to dynamically adjust the prediction results based on the changing trends of historical data, further improving the accuracy and reliability of the prediction.

[0111] Because Equation 2 can update predicted power consumption in real time, the power dispatch platform can quickly adjust its power balancing dispatch strategy based on the latest forecast results to accommodate changes in load device power consumption. This adaptability helps the power system better cope with demand fluctuations and emergencies, ensuring supply and demand balance and improving system stability and reliability. Furthermore, accurate power consumption forecasts provide important decision-making support for the power dispatch platform, enabling it to more rationally schedule the operating status of power generation and energy storage equipment and optimize the allocation of power resources. This optimized allocation of power resources can reduce energy waste, improve resource utilization efficiency across the power system, and lower operating costs.

[0112] Furthermore, the application of Formula 2 enables the power dispatch platform to better meet user electricity needs, reducing the occurrence of power shortages or surpluses. By achieving a balance between supply and demand in the power system, the reliability and safety of power consumption can be improved, enhancing the user experience. By implementing intelligent and automated management of the power system, the operational efficiency and service level of the power system can be improved, providing strong support for the construction of smart grids.

[0113] S205. The power dispatching platform determines power balance dispatching parameters according to the predicted power generation, actual stored power, and predicted power consumption.

[0114] In this step, the power dispatching platform determines the power balance dispatching parameters based on the predicted power generation, actual stored power and predicted power consumption. The power balance dispatching parameters include the power balance dispatching period and the power balance dispatching vector. The balance dispatching vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balance dispatching period.

[0115] In one case, if the power dispatching platform determines that the characteristic ratio between the predicted power generation and the predicted power consumption is greater than or equal to the preset safety threshold, the power balancing dispatching period is determined based on the predicted power generation, the actual stored power, and the predicted power consumption using Formula 3, where Formula 3 is:

[0116]

[0117] in, is the power balance dispatch period, To predict power generation, To predict power consumption, is the maximum storage capacity of the energy storage device, is the actual storage capacity of the energy storage device at present, It is a preset calibration scheduling cycle;

[0118] The power dispatching platform determines a first balancing dispatching vector and a second balancing dispatching vector based on the predicted power generation and the predicted power consumption. The first balancing dispatching vector is used to indicate that the power generation equipment outputs electric energy equal to the predicted power consumption to the load equipment within the power balancing dispatching period. The second balancing dispatching vector is used to indicate that the power generation equipment outputs electric energy equal to the difference between the predicted power generation and the predicted power consumption to the energy storage equipment within the power balancing dispatching period. The power balancing dispatching vector includes the first balancing dispatching vector and the second balancing dispatching vector.

[0119] It's worth noting that Formula 3 dynamically calculates the power balancing dispatch period by comprehensively considering predicted power generation, predicted power consumption, the maximum storage capacity of the energy storage device, the current actual storage capacity of the energy storage device, and a preset calibrated dispatch period. This dynamic adjustment mechanism enables the power dispatch platform to flexibly schedule power production and consumption based on the real-time operating conditions of the power system, thereby optimizing the allocation of power resources. The power balancing dispatch period determined by Formula 3 ensures that the predicted power generation of the power generation equipment meets the predicted power consumption of the load equipment while also providing the necessary charging time for the energy storage device to maintain sufficient power. This arrangement helps avoid imbalances in power supply and demand, thereby enhancing power system stability and reducing the occurrence of power shortages or surpluses. Furthermore, Formula 3 uses the maximum storage capacity and current actual storage capacity of the energy storage device as key parameters in calculating the power balancing dispatch period, ensuring that the energy storage device can charge or discharge at the appropriate time. This optimization strategy helps improve the utilization rate of energy storage devices, reduce energy waste, and enhance resource efficiency across the entire power system. Furthermore, the preset calibrated dispatch period in Equation 3 provides a reference benchmark for the power dispatch platform, allowing dispatchers to adjust the dispatch period as necessary based on the actual operation of the power system. This flexibility helps the power dispatch platform better respond to emergencies and demand fluctuations, ensuring stable operation of the power system.

[0120] Furthermore, after using Formula 3 and determining the power balance scheduling period according to the predicted power generation, the actual stored power, and the predicted power consumption, the following is further included:

[0121] The power dispatching platform uses Formula 4 and updates the power balance dispatching cycle according to the characteristic ratio. Formula 4 is:

[0122]

[0123] in, is the characteristic ratio, is the dynamic adjustment factor of the power balance dispatch cycle, is the preset grid stability factor, is the preset first weight value, is the preset second weight value.

[0124] It's worth noting that Formula 5 dynamically adjusts the power balancing dispatch cycle by introducing a characteristic ratio—the ratio between predicted power generation and predicted power consumption. This adjustment allows the power dispatch platform to more accurately schedule power production and consumption based on the real-time supply and demand conditions of the power system, thereby improving dispatch accuracy and flexibility. The dynamic adjustment factor for the power balancing dispatch cycle in Formula 5 comprehensively considers multiple factors, including a preset grid stability factor, a preset first weight, and a preset second weight. By setting and adjusting these parameters, the power dispatch platform can more effectively respond to fluctuations and changes in the power system, thereby enhancing power system stability. By updating the power balancing dispatch cycle according to Formula 5, the power dispatch platform can more rationally allocate power resources. When predicted power generation is sufficient, the dispatch cycle can be extended to allow more time for power generation equipment maintenance and overhaul. When predicted power generation is insufficient, the dispatch cycle can be shortened to ensure timely and stable power supply. Furthermore, the current actual storage capacity and the maximum storage capacity of the energy storage device in Formula 5 serve as key parameters in calculating the dynamic adjustment factor for the power balancing dispatch cycle, helping to optimize the charging and discharging strategies of the energy storage device. By rationally scheduling the dispatch cycle, we can ensure that energy storage devices are charged or discharged at the appropriate times, thereby improving their utilization. Furthermore, the parameters in Equation 5 can be flexibly set and adjusted based on the actual conditions of the power system, enabling the power dispatch platform to better respond to power supply and demand conditions in different scenarios, thereby ensuring the stable operation and sustainable development of the power system.

[0125] In another case, if the power dispatching platform determines that the characteristic ratio between the predicted power generation and the predicted power consumption is less than the preset safety threshold, the power balancing dispatching period is determined based on the predicted power generation, the actual stored power, and the predicted power consumption using Formula 5, where Formula 5 is:

[0126]

[0127] The power dispatching platform determines a third balancing dispatching vector and a fourth balancing dispatching vector based on the predicted power generation and the predicted power consumption. The third balancing dispatching vector is used to indicate that the power generation equipment outputs the predicted power consumption to the load equipment within the power balancing dispatching period. The fourth balancing dispatching vector is used to indicate that the energy storage equipment outputs the absolute value of the difference between the predicted power generation and the predicted power consumption to the load equipment within the power balancing dispatching period. The power balancing dispatching vector includes the third balancing dispatching vector and the fourth balancing dispatching vector.

[0128] It's worth noting that when the characteristic ratio between predicted power generation and predicted power consumption falls below a preset safety threshold, the predicted power generation of the power generation equipment cannot meet the predicted power consumption of the load equipment. In this case, Formula 4 dynamically calculates the power balancing dispatch period by considering the current actual power storage capacity of the energy storage equipment and the absolute value of the difference between the predicted power generation and predicted power consumption. This dynamic adaptability ensures that the dispatch period can be flexibly adjusted based on the real-time supply and demand conditions of the power system, thereby improving dispatch effectiveness and responsiveness. Using the dispatch period calculated by Formula 4, the power dispatch platform can more effectively schedule the operating hours of power generation and energy storage equipment. In the event of insufficient power generation, the dispatch period may be shortened to ensure that the energy storage equipment can replenish power in a timely manner to meet load demand. This resource optimization helps reduce power system operating costs and improve energy efficiency. After determining the power balancing dispatch period, the power dispatch platform determines the third and fourth balancing dispatch vectors based on the predicted power generation and predicted power consumption. The third balancing dispatch vector ensures that the power generation equipment delivers power to the load equipment in accordance with the predicted power consumption within the dispatch period to meet baseload demand. The fourth balancing dispatch vector instructs the energy storage device to output additional power to the load device when necessary to compensate for any shortfalls in power generation. This precise control helps achieve a balance between supply and demand in the power system, ensuring the stability and reliability of power supply. Through the combined action of the third and fourth balancing dispatch vectors, power generation equipment and energy storage devices can work in tandem. When power generation is sufficient, the energy storage device can store excess power; when power generation is insufficient, the energy storage device can release stored energy to supplement the power supply. This device coordination mechanism helps improve the overall operational efficiency of the power system and reduce operation and maintenance costs. Furthermore, when power generation fails to meet load demand, the fourth balancing dispatch vector guides the energy storage device to promptly replenish power, effectively mitigating the risk of power shortages. This risk mitigation mechanism helps ensure the stable operation of the power system and avoid serious consequences such as system paralysis or large-scale power outages caused by power shortages.

[0129] For example, during emergencies or extreme weather conditions, the supply and demand of the power system may fluctuate dramatically. In these situations, the power dispatch platform, through the combined effects of Equation 4 and the balanced dispatch vector, can rapidly adjust its dispatch strategy to ensure the power system's emergency response capabilities. This emergency response mechanism helps improve the safety and reliability of the power system and ensures that users' electricity needs are met.

[0130] Furthermore, after using Formula 4 and determining the power balance scheduling period according to the predicted power generation, the actual stored power, and the predicted power consumption, the following is further included:

[0131] The power dispatching platform uses Formula 6 and updates the power balance dispatching cycle according to the characteristic ratio. Formula 6 is:

[0132]

[0133] in, is the characteristic ratio, is the dynamic adjustment factor of the power balance dispatch cycle, is the preset grid stability factor, is the preset first weight value, is the preset second weight value.

[0134] It's worth noting that Formula 6, by introducing multiple parameters, including the characteristic ratio, the dynamic adjustment factor for the power balance dispatch cycle, the preset grid stability factor, the preset first weight, and the preset second weight, enables the power dispatch platform to dynamically adjust the dispatch cycle based on the real-time supply and demand conditions of the power system. This flexibility helps the power dispatch platform better respond to unexpected power system conditions and supply and demand fluctuations, ensuring the stability and reliability of power supply. By comprehensively considering the predicted power generation, predicted power consumption, the current actual storage capacity of the energy storage device, and the maximum storage capacity of the energy storage device, Formula 6 can calculate a more reasonable power balance dispatch cycle. This helps the power dispatch platform more accurately schedule the operation of power generation and energy storage devices, optimize the allocation of power resources, and improve energy efficiency. The dynamic adjustment factor in Formula 6 is adjusted based on the characteristic ratio, the preset first weight, and the preset second weight. This means that the dispatch cycle is finely adjusted based on the real-time supply and demand conditions of the power system and the status of the energy storage device. This precision helps reduce power surpluses or shortages and ensure the balance of supply and demand in the power system. By continuously updating the power balancing dispatch cycle, the power dispatch platform can better coordinate the operations of power generation and energy storage equipment, avoiding equipment overload or idleness, thereby improving the stability of the entire power system. Furthermore, the preset grid stability factor in Equation 6 helps ensure the stability of the power system during dispatch. When the power system faces emergencies or supply and demand imbalances, Equation 6 can quickly calculate the new power balancing dispatch cycle and guide the power generation and energy storage equipment to make corresponding adjustments. This rapid response capability helps the power dispatch platform better respond to power system emergencies and ensure the continuity and stability of power supply.

[0135] S206. The power dispatching platform sends the power balance dispatching parameters to the power generation equipment and the energy storage equipment.

[0136] In this step, the power dispatching platform sends the power balance dispatching parameters to the power generation equipment and the energy storage equipment, so that the power generation equipment and / or the energy storage equipment transfer electric energy according to the power balance dispatching parameters.

[0137] The power dispatch platform receives predicted power generation from power generation equipment, actual stored power from energy storage equipment, and predicted power consumption from load equipment. It then comprehensively considers the real-time supply and demand of the power system, the status of energy storage equipment, and the generation capacity of power generation equipment to determine appropriate power balance dispatch parameters. These parameters include, but are not limited to, the power balance dispatch period and the power balance dispatch vector, and together they form the foundation for the power dispatch platform to precisely control the power system.

[0138] After determining the power balancing dispatch parameters, the power dispatch platform transmits these parameters to the power generation equipment and energy storage equipment in real time via the communication network. This step relies on the power management system's comprehensive communication infrastructure and efficient communication protocols to ensure that the parameters are accurately and quickly transmitted to the target equipment.

[0139] The power balancing dispatch parameters received by the generators guide them in outputting the corresponding amount of energy to the loads and energy storage devices within the power balancing dispatch cycle. The generators adjust their power generation plans based on the parameters to ensure that the output energy matches the dispatch requirements.

[0140] For energy storage devices, the received power balancing dispatch parameters determine their charge or discharge status within the power balancing dispatch cycle. When the predicted power generation of the power generation equipment exceeds the predicted power consumption of the load equipment, the energy storage device will receive and store the excess power. When the predicted power generation of the power generation equipment cannot meet the predicted power consumption of the load equipment, the energy storage device will release the stored power to supplement the power consumption.

[0141] After receiving the power balancing dispatch parameters, the power generation equipment and energy storage equipment accurately transfer electricity according to the parameters. The realization of this step depends on the efficient power transmission and distribution network in the power system, as well as the power output and storage capabilities of the power generation equipment and energy storage equipment themselves.

[0142] The power generation equipment adjusts its power output direction and output amount according to the power balance dispatch vector in the power balance dispatch parameter to ensure stable power supply to the load equipment and energy storage equipment.

[0143] Energy storage devices charge or discharge according to the power balancing dispatch parameters to balance the supply and demand relationship in the power system. During charging, energy storage devices receive excess power from power generation equipment; during discharging, energy storage devices provide the required power to load equipment.

[0144] During the power transmission process, the power dispatch platform dynamically adjusts power balance dispatch parameters by monitoring the power system's operating status and the power output and storage of power generation and energy storage equipment in real time. This step relies on a comprehensive monitoring system and efficient adjustment mechanism within the power management system to ensure that the power system can always operate in a stable and efficient state.

[0145] In the above solution, the power dispatch platform determines the power balancing dispatch parameters and promptly transmits them to the power generation equipment and energy storage devices, ensuring precise power system regulation. Based on the received power balancing dispatch parameters, the power generation equipment and energy storage devices accurately adjust their power output or storage status, thereby achieving a balance between supply and demand in the power system. This precise regulation helps avoid power surpluses or shortages and ensures stable operation of the power system.

[0146] By transmitting power balancing dispatch parameters through the power dispatch platform, power generation equipment and energy storage devices can transfer power based on actual demand, thereby improving the efficiency of power resource utilization. During peak power demand periods, power generation equipment can increase power output, while energy storage devices can release stored power when necessary to meet load demand. During low power demand periods, power generation equipment can reduce power output, while energy storage devices can store excess power for future use. This flexible power transfer method helps reduce power system operating costs and improve overall economic benefits.

[0147] Furthermore, the power dispatch platform transmits power balancing dispatch parameters to power generation equipment and energy storage devices, enabling them to rapidly respond to changes in the power system. In the event of power supply and demand imbalances or emergencies, power generation equipment and energy storage devices can quickly adjust based on the power balancing dispatch parameters, ensuring power system stability and reliability. This rapid response helps reduce the risk of power system failures and improves the user experience.

[0148] Figure 3 FIG. 1 is a schematic diagram showing a power management system according to an exemplary embodiment of the present invention. Figure 3 As shown, the power management system 300 provided in this embodiment includes: a power dispatching platform 310 and a power generation device 320, a load device 330 and an energy storage device 340 connected through a power network, wherein the power generation device 320, the load device 330 and the energy storage device 340 are respectively communicated with the power dispatching platform 310;

[0149] The power dispatching platform 310 broadcasts power balancing dispatching instructions to the power generation equipment 320, the load equipment 330 and the energy storage equipment 340;

[0150] The power generation device 320 responds to the power balance scheduling instruction, obtains the power generation characteristic parameters within the next preset measurement period, determines the predicted power generation according to the power generation characteristic parameters, and sends the predicted power generation to the power scheduling platform 310;

[0151] The power generation device 320 obtains the actual stored power of the energy storage device 340 in response to the power balance scheduling instruction, and sends the actual stored power to the power scheduling platform 310;

[0152] The load device 330 obtains the predicted power consumption in the next preset measurement period in response to the power balancing scheduling instruction, and sends the predicted power consumption to the power scheduling platform 310;

[0153] The power dispatching platform 310 determines the power balance dispatching parameters based on the predicted power generation, the actual stored power and the predicted power consumption. The power balance dispatching parameters include a power balance dispatching period and a power balance dispatching vector. The balance dispatching vector is used to determine the power output direction and power output of the power generation equipment 320 and the energy storage equipment 340 within the power balance dispatching period.

[0154] Optionally, the power generation device 320 is a photovoltaic power generation device 320; accordingly, obtaining the power generation characteristic parameters within the next preset measurement period and determining the predicted power generation according to the power generation characteristic parameters includes:

[0155] The power generation device 320 determines the predicted power generation according to the illumination characteristic parameter and the temperature characteristic parameter in the power generation characteristic parameters.

[0156] Optionally, the load device 330 obtains the predicted power consumption in the next preset measurement period in response to the power balancing scheduling instruction, including:

[0157] The load device 330 determines the predicted power consumption in the next preset measurement cycle based on the power consumption in the current preset measurement cycle, the power consumption in the previous preset measurement cycle, and the predicted power consumption in the previous preset measurement cycle in the historical power consumption of the load device 330 .

[0158] Optionally, the power dispatching platform 310 determines power balancing dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, including:

[0159] If the power dispatching platform 310 determines that the characteristic ratio between the predicted power generation and the predicted power consumption is greater than or equal to a preset safety threshold, the power dispatching platform 310 determines a first balance dispatching vector and a second balance dispatching vector based on the predicted power generation and the predicted power consumption. The first balance dispatching vector is used to indicate that the power generation equipment 320 outputs the electric energy of the predicted power consumption to the load equipment 330 within the power balance dispatching period, and the second balance dispatching vector is used to indicate that the power generation equipment 320 outputs the electric energy of the difference between the predicted power generation and the predicted power consumption to the energy storage equipment 340 within the power balance dispatching period. The power balance dispatching vector includes the first balance dispatching vector and the second balance dispatching vector.

[0160] Optionally, the power dispatching platform 310 determines power balancing dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, including:

[0161] If the power dispatching platform 310 determines that the characteristic ratio between the predicted power generation and the predicted power consumption is less than a preset safety threshold, the power dispatching platform 310 determines a third balance dispatching vector and a fourth balance dispatching vector based on the predicted power generation and the predicted power consumption. The third balance dispatching vector is used to indicate that the power generation device 320 outputs the electric energy of the predicted power consumption to the load device 330 within the power balance dispatching period, and the fourth balance dispatching vector is used to indicate that the energy storage device 340 outputs the electric energy of the absolute value of the difference between the predicted power generation and the predicted power consumption to the load device 330 within the power balance dispatching period. The power balance dispatching vector includes the third balance dispatching vector and the fourth balance dispatching vector.

[0162] Optionally, the power dispatching platform 310 determines the power balancing dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, further comprising:

[0163] The power dispatching platform 310 updates the power balance dispatching period according to the characteristic ratio.

[0164] Optionally, after the power dispatching platform 310 determines the power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, the following steps are further included:

[0165] The power dispatching platform 310 sends the power balancing dispatching parameters to the power generation device 320 and the energy storage device 340 , so that the power generation device 320 and / or the energy storage device 340 transfers electric energy according to the power balancing dispatching parameters.

[0166] Figure 4 FIG. 1 is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present invention. Figure 4 As shown, this embodiment provides an electronic device 400 including: a processor 401 and a memory 402; wherein:

[0167] The memory 402 is used to store computer programs. The memory may also be a flash memory.

[0168] The processor 401 is configured to execute the execution instructions stored in the memory to implement each step in the above method. For details, please refer to the relevant description in the above method embodiment.

[0169] Optionally, the memory 402 may be independent or integrated with the processor 401 .

[0170] When the memory 402 is a device independent of the processor 401, the electronic device 400 may further include:

[0171] The bus 403 is used to connect the memory 402 and the processor 401 .

[0172] This embodiment further provides a readable storage medium, in which a computer program is stored. When at least one processor of an electronic device executes the computer program, the electronic device executes the methods provided in the various aforementioned embodiments.

[0173] This embodiment further provides a program product, which includes a computer program stored in a readable storage medium. At least one processor of an electronic device can read the computer program from the readable storage medium, and at least one processor can execute the computer program to cause the electronic device to implement the methods provided in the various embodiments described above.

[0174] Those skilled in the art will readily envision other embodiments of the invention after considering the specification and practicing the invention disclosed herein. The invention is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the claims.

[0175] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof, which is limited only by the appended claims.

Claims

1. A power balancing method for power system source-grid-load-storage coordination, characterized by: Applied to a power management system, the power management system includes a power dispatching platform and power generation equipment, load equipment and energy storage equipment connected through a power network; the method includes: The power dispatching platform broadcasts power balancing dispatching instructions to the power generation equipment, the load equipment and the energy storage equipment; The power generation equipment responds to the power balance scheduling instruction, obtains power generation characteristic parameters within a next preset measurement period, determines a predicted power generation according to the power generation characteristic parameters, and sends the predicted power generation to the power scheduling platform; The power generation device obtains the actual current storage capacity of the energy storage device in response to the power balance scheduling instruction, and sends the actual storage capacity to the power scheduling platform; The load device obtains the predicted power consumption in the next preset measurement period in response to the power balancing scheduling instruction, and sends the predicted power consumption to the power scheduling platform; The power dispatching platform determines power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption. The power balance dispatching parameters include a power balance dispatching period and a power balance dispatching vector. The balance dispatching vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balance dispatching period. If the characteristic ratio of the predicted power generation to the predicted power consumption is greater than or equal to a preset safety threshold, Formula 3 is used to determine the power balance scheduling period based on the predicted power generation, the predicted power consumption, and the maximum storage capacity of the energy storage device. The characteristic ratio is used to dynamically adjust the power balance scheduling period. The power dispatching platform will prioritize meeting load demand and store excess power in the energy storage device. Formula 3 is: ， in, is the power balance scheduling period, is the predicted power generation, is the predicted power consumption, is the maximum storage capacity of the energy storage device, is the actual storage capacity of the energy storage device at present, It is a preset calibration scheduling cycle; If the characteristic ratio is less than the preset safety threshold, the power balance scheduling period is determined according to the predicted power generation, the actual stored power, and the predicted power consumption using Formula 5. When the characteristic ratio is less than the preset safety threshold, it indicates that the predicted power generation of the power generation equipment cannot meet the predicted power consumption of the load equipment. Formula 5 is: ， The power dispatching platform determines a third balance scheduling vector and a fourth balance scheduling vector based on the predicted power generation and the predicted power consumption. The third balance scheduling vector is used to indicate that the power generation device outputs the predicted power consumption of the electric energy to the load device within the power balance scheduling period. The fourth balance scheduling vector is used to indicate that the energy storage device outputs the electric energy of the absolute value of the difference between the predicted power generation and the predicted power consumption to the load device within the power balance scheduling period. The power balance scheduling vector includes the third balance scheduling vector and the fourth balance scheduling vector.

2. The power balancing method for power system source-grid-load-storage coordination according to claim 1 is characterized in that: The power generation equipment is a photovoltaic power generation equipment; correspondingly, obtaining the power generation characteristic parameters within the next preset measurement period and determining the predicted power generation according to the power generation characteristic parameters include: The power generation equipment determines the predicted power generation according to the illumination characteristic parameter and the temperature characteristic parameter in the power generation characteristic parameters.

3. The power balancing method for power system source-grid-load-storage coordination according to claim 2 is characterized in that: The load device obtains the predicted power consumption within the next preset measurement period in response to the power balance scheduling instruction, including: The load device determines the predicted power consumption in the next preset measurement cycle based on the power consumption in the current preset measurement cycle, the power consumption in the previous preset measurement cycle, and the predicted power consumption in the previous preset measurement cycle in the historical power consumption of the load device.

4. The power balancing method for power system source-grid-load-storage coordination according to any one of claims 1 to 3, characterized in that: The power dispatching platform determines power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, including: If the power dispatching platform determines that the characteristic ratio between the predicted power generation and the predicted power consumption is greater than or equal to a preset safety threshold, the power dispatching platform determines a first balance dispatching vector and a second balance dispatching vector based on the predicted power generation and the predicted power consumption. The first balance dispatching vector is used to instruct the power generation equipment to output the electric energy of the predicted power consumption to the load equipment within the power balance dispatching period, and the second balance dispatching vector is used to instruct the power generation equipment to output the electric energy of the difference between the predicted power generation and the predicted power consumption to the energy storage equipment within the power balance dispatching period. The power balance dispatching vector includes the first balance dispatching vector and the second balance dispatching vector.

5. The power balancing method for power system source-grid-load-storage coordination according to claim 4 is characterized in that: The power dispatching platform determines power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, including: If the power dispatching platform determines that the characteristic ratio between the predicted power generation and the predicted power consumption is less than a preset safety threshold, the power dispatching platform determines a third balance dispatching vector and a fourth balance dispatching vector based on the predicted power generation and the predicted power consumption. The third balance dispatching vector is used to instruct the power generation equipment to output the electric energy of the predicted power consumption to the load equipment within the power balance dispatching period, and the fourth balance dispatching vector is used to instruct the energy storage equipment to output the electric energy of the absolute value of the difference between the predicted power generation and the predicted power consumption to the load equipment within the power balance dispatching period. The power balance dispatching vector includes the third balance dispatching vector and the fourth balance dispatching vector.

6. The power balancing method for power system source-grid-load-storage coordination according to claim 5 is characterized in that: The power dispatching platform determines the power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, further comprising: The power dispatching platform updates the power balance dispatching period according to the characteristic ratio.

7. The power balancing method for power system source-grid-load-storage coordination according to claim 6 is characterized in that: After the power dispatching platform determines the power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption, the further step includes: The power dispatching platform sends the power balancing dispatching parameters to the power generation equipment and the energy storage equipment, so that the power generation equipment and / or the energy storage equipment transfer electric energy according to the power balancing dispatching parameters.

8. A power management system, characterized in that: include: Power dispatching platform and power generation equipment, load equipment and energy storage equipment connected through the power network; The power dispatching platform broadcasts power balancing dispatching instructions to the power generation equipment, the load equipment and the energy storage equipment; The power generation equipment responds to the power balance scheduling instruction, obtains power generation characteristic parameters within a next preset measurement period, determines a predicted power generation according to the power generation characteristic parameters, and sends the predicted power generation to the power scheduling platform; The power generation device obtains the actual current storage capacity of the energy storage device in response to the power balance scheduling instruction, and sends the actual storage capacity to the power scheduling platform; The load device obtains the predicted power consumption in the next preset measurement period in response to the power balancing scheduling instruction, and sends the predicted power consumption to the power scheduling platform; The power dispatching platform determines power balance dispatching parameters according to the predicted power generation, the actual stored power, and the predicted power consumption. The power balance dispatching parameters include a power balance dispatching period and a power balance dispatching vector. The balance dispatching vector is used to determine the power output direction and power output of the power generation equipment and the energy storage equipment within the power balance dispatching period. The first balance scheduling vector in the power balance scheduling vector is used to instruct the power generation device to output the electric energy of the predicted power consumption to the load device within the power balance scheduling period; the second balance scheduling vector in the power balance scheduling vector is used to instruct the power generation device to output the electric energy of the difference between the predicted power generation and the predicted power consumption to the energy storage device within the power balance scheduling period; If the characteristic ratio of the predicted power generation to the predicted power consumption is greater than or equal to a preset safety threshold, Formula 3 is used to determine the power balance scheduling period based on the predicted power generation, the predicted power consumption, and the maximum storage capacity of the energy storage device. The characteristic ratio is used to dynamically adjust the power balance scheduling period. The power dispatching platform will prioritize meeting load demand and store excess power in the energy storage device. Formula 3 is: ， in, is the power balance scheduling period, is the predicted power generation, is the predicted power consumption, is the maximum storage capacity of the energy storage device, is the actual storage capacity of the energy storage device at present, It is a preset calibration scheduling cycle; If the characteristic ratio is less than the preset safety threshold, the power balance scheduling period is determined according to the predicted power generation, the actual stored power, and the predicted power consumption using Formula 5. When the characteristic ratio is less than the preset safety threshold, it indicates that the predicted power generation of the power generation equipment cannot meet the predicted power consumption of the load equipment. Formula 5 is: ， The power dispatching platform determines a third balance scheduling vector and a fourth balance scheduling vector based on the predicted power generation and the predicted power consumption. The third balance scheduling vector is used to indicate that the power generation device outputs the predicted power consumption of the electric energy to the load device within the power balance scheduling period. The fourth balance scheduling vector is used to indicate that the energy storage device outputs the electric energy of the absolute value of the difference between the predicted power generation and the predicted power consumption to the load device within the power balance scheduling period. The power balance scheduling vector includes the third balance scheduling vector and the fourth balance scheduling vector.

9. An electronic device, characterized in that: include: processor; as well as, a memory for storing executable instructions of the processor; The processor is configured to perform the method according to any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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