Port multi-energy optimization coordination method and system

Abstract

The invention discloses a port multi-energy optimization coordination method and system, and belongs to the technical field of port energy management, and the method comprises the steps: carrying out the evaluation of the health state of energy storage equipment based on the operation parameters and internal performance parameters of the energy storage equipment, and obtaining an internal evaluation result; sensing the external environment change and the abnormal operation condition of the port area, and evaluating the influence of the external environment change and the abnormal operation condition on the health state of the energy storage equipment to obtain an external influence evaluation result; and obtaining an operation boundary of the energy storage equipment according to the internal evaluation result and the external influence evaluation result, and making an energy distribution scheme based on the operation boundary. The technical problem of low port power supply stability caused by difficulty in prolonging the actual service life of energy storage equipment in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of port energy management technology, specifically to a method and system for optimizing and coordinating multiple energy sources in ports. Background Technology

[0002] Port energy management systems typically employ model predictive control (MMC) technology to coordinate and manage the diverse energy resources within a port. This system aims to address the inherent volatility of renewable energy sources while simultaneously meeting the massive and rapidly changing electricity demands of port operations, ultimately improving the stability of port power supply. Under normal operating conditions, the system can construct a predictive model of energy supply and demand for a future period based on historical operating data and real-time monitoring information. This model enables refined energy allocation among photovoltaic output, energy storage charging and discharging, grid interaction power, and port load, ensuring stable and efficient system operation. However, the complexity and uncertainty of the actual port operating environment far exceed the preset boundary conditions of the predictive model, making it highly susceptible to various sudden disturbances. When faced with multiple contingent emergencies (such as localized severe convection, sudden heavy rainfall, or other extreme weather events causing a sudden surge or drop in photovoltaic output, or temporary interactive power limiting commands issued by the urban power grid due to fault repair or load control), energy storage devices will be forced to deviate from their normal operating range and enter a high-load response state. At this time, the actual load-bearing capacity of the energy storage devices will undergo significant dynamic changes, specifically manifested as a decrease in the charging and discharging power tolerance threshold, a narrowing of the SOC (State of Charge) safe range, and increased internal resistance leading to aggravated heat loss. Energy storage devices serve as emergency buffers and power regulators for port multi-energy systems to cope with sudden disturbances; their lifespan directly reflects the degree of attenuation of their own regulation capabilities, thus determining the lower limit of power supply stability. However, existing model predictive control technologies, when formulating energy allocation schemes, fail to fully consider the dynamic changes in the load-bearing capacity of energy storage devices under the aforementioned emergency scenarios, and still plan schemes based on the performance parameters or normal health status of the energy storage devices. This mismatch between static assumptions and dynamic realities leads to energy storage devices operating under conditions exceeding their real-time capacity for extended periods. Such unreasonable operating commands directly exacerbate battery performance degradation, manifesting as rapid capacity decline, shortened cycle life, and reduced charge / discharge efficiency. In severe cases, it can even trigger safety hazards such as battery thermal runaway, significantly shortening the actual lifespan of the energy storage device. Therefore, improving the actual lifespan of energy storage devices, thereby enhancing the stability of port power supply, remains a technical challenge that current technologies struggle to address. Summary of the Invention

[0003] To address the technical problem of low port power supply stability caused by the difficulty in extending the actual service life of energy storage devices with existing technologies, this invention provides a port multi-energy optimization and coordination method and system. By comprehensively considering the internal health status of energy storage devices and the influence of the external environment, the operating boundary of energy storage devices is dynamically adjusted, thereby achieving more accurate and reliable energy distribution in the complex and ever-changing port operating environment. This effectively avoids excessive wear and tear on energy storage devices under extreme operating conditions and solves the technical problem of low port power supply stability caused by the difficulty in extending the actual service life of energy storage devices with existing technologies.

[0004] To address the aforementioned technical problems, this invention provides a port multi-energy optimization and coordination method, comprising the following steps: The health status of energy storage devices is assessed based on their operating parameters and internal performance parameters to obtain internal assessment results. The system senses changes in the external environment and operational anomalies in the port area, assesses the impact of these changes on the health of energy storage equipment, and obtains external impact assessment results. The operating boundary of the energy storage device is obtained based on the internal assessment results and the external impact assessment results, and an energy allocation plan is formulated based on the operating boundary.

[0005] Preferably, before obtaining the internal assessment results by evaluating the health status of the energy storage device based on its operating parameters and internal performance parameters, the method further includes: The initial operating parameters of the energy storage device are collected, and the initial operating parameters are filtered to obtain the process operating parameters. The process operating parameters are verified by a multi-point redundant acquisition and real-time data verification mechanism.

[0006] Preferably, the step of assessing the health status of the energy storage device based on its operating parameters and internal performance parameters to obtain internal assessment results includes: The operating parameters and internal performance parameters are preprocessed, and the first Pearson correlation coefficient between the operating parameters and the health status is calculated. The second Pearson correlation coefficient between the internal performance parameters and the health status is also calculated. The operating parameters corresponding to the first Pearson correlation coefficient which is less than the preset correlation coefficient are removed from the operating parameters to obtain the final operating parameters. The internal performance parameters corresponding to the second Pearson correlation coefficient which is less than the preset correlation coefficient are removed from the internal performance parameters to obtain the final internal performance parameters. The final operating parameters are then compared with the final internal performance parameters and the safety parameters of the energy storage device to obtain the internal evaluation results.

[0007] Preferably, the changes in the external environment include at least changes in climate and changes in power grid operation; The abnormal operating conditions include at least abnormal operating conditions of energy storage equipment, auxiliary system failures, and abnormal dispatching commands.

[0008] Preferably, obtaining the operating boundary of the energy storage device based on the internal assessment results and the external impact assessment results includes: Based on the external impact assessment results, a complex extreme stress scenario is obtained, and the internal resistance change trajectory of the energy storage device under current surge is obtained based on the operating parameters of the energy storage device. The instantaneous power output capability and potential degradation risk of the energy storage device are obtained based on the trajectory of internal resistance changes. The instantaneous power output capability and potential degradation risk are used to assess the instantaneous power limit and sustainable discharge capability of the energy storage device under complex extreme stress conditions. The operating boundary of the energy storage device is obtained based on the instantaneous power limit, sustainable discharge capability and internal assessment results. The operating boundary includes the maximum discharge power and the minimum state of charge.

[0009] Preferred options also include: When the energy allocation plan indicates insufficient power, data from the power system operation, port operation management system, logistics scheduling system, and environmental monitoring system are acquired. These data are then integrated to obtain a view of the overall port operation status. Flexible adjustment points in port operation are identified, and their power reduction potential is obtained. Based on the power reduction potential of these flexible adjustment points, the overall port operation status view, and the impact of these flexible adjustment points on the overall port operation, the optimal energy allocation plan is determined.

[0010] Preferably, identifying flexible adjustment points in port operations and obtaining the power reduction potential of these flexible adjustment points includes: Acquire real-time load data and operating status data of operating equipment in each operating area of ​​the port. Based on the real-time load data, obtain the instantaneous load change trend of each operating area of ​​the port. Based on the instantaneous load change trend, operating status data of operating equipment, and priority rules of each operating process in the port, obtain adjustable operating equipment and / or adjustable operating links. Based on the energy consumption characteristics of adjustable operating equipment and / or the adjustable duration of adjustable operating links, obtain the initial power reduction potential of adjustable operating equipment and / or adjustable operating links. Assess the impact of the initial power reduction potential on the overall port operation by taking the adjustable operating equipment and / or adjustable operating links that meet the preset conditions as flexible adjustment points, and obtain the power reduction potential of the flexible adjustment points based on the initial power reduction potential.

[0011] Preferably, the process of obtaining the optimal energy allocation scheme based on the power reduction potential of the flexible adjustment point, the overall port operation status view, and the impact of the flexible adjustment point on the overall port operation further includes: obtaining an adjustment scheme based on the flexible adjustment point, simulating the execution of the adjustment scheme to obtain the first impact of the adjustment scheme on the logistics chain, the second impact on the scheduling of operating equipment, and the third impact on the operating efficiency, and obtaining the nonlinear response of the adjustment scheme; and obtaining the impact of the flexible adjustment point on the overall port operation based on the first impact, the second impact, the third impact, and the nonlinear response.

[0012] Preferably, the assessment of the initial power reduction potential's impact on the overall port operation includes: Acquire real-time workload data, current task queue data, and preset work path data of the operating equipment; obtain the task priority and work path conflict points of the operating equipment based on the current task queue data and preset work path data, respectively; simulate the impact of short-term shutdown or speed adjustment of the operating equipment on the real-time workload data, current task queue data, and preset work path data of the operating equipment, and obtain simulation results; The impact of the initial power reduction potential on the overall port operation is assessed based on simulation results, real-time workload data of operating equipment, task priorities, and operational path conflict points.

[0013] By adopting the above technical solution, the present invention has the following advantages: By comprehensively considering the internal health status of energy storage devices and the impact of the external environment, the operating boundaries of energy storage devices are dynamically adjusted, thereby achieving more precise and reliable energy distribution in the complex and ever-changing port operation environment. This effectively avoids excessive wear and tear on energy storage devices under extreme operating conditions and solves the technical problem that existing technologies cannot improve the actual service life of energy storage devices, resulting in low power supply stability in ports. Specifically, by comprehensively considering the internal health condition of energy storage devices and the combined stress of the external environment, the maximum discharge power and minimum state of charge of these devices can be obtained more accurately. This allows for the development of energy allocation strategies that better suit actual operating conditions, avoiding excessive wear and accelerated degradation of energy storage devices under emergency discharge conditions. This extends the lifespan of energy storage devices and reduces the long-term maintenance and upgrade costs of port energy infrastructure. Simultaneously, by dynamically adjusting operating boundaries, it is possible to ensure the continuity of core operations to the greatest extent possible even when power supply and demand are tight, minimizing the impact on operational efficiency and thus improving the overall operational resilience and economic benefits of the port. With precise identification, quantification of potential, and flexible adjustment with controllable risks as its core, the system achieves an optimal balance between peak shaving and operational efficiency for port power supply when there is insufficient power, thereby enhancing the port's overall adaptive capability.

[0014] The present invention also provides a port multi-energy optimization and coordination system, applicable to the aforementioned port multi-energy optimization and coordination method, comprising: an internal assessment result acquisition module, used to assess the health status of the energy storage device based on the operating parameters and internal performance parameters of the energy storage device to obtain internal assessment results; The external impact assessment result acquisition module is used to sense changes in the external environment and abnormal operation in the port area, and to assess the impact of these changes on the health status of energy storage equipment to obtain external impact assessment results. The energy allocation scheme acquisition module is used to obtain the operating boundary of the energy storage device based on the internal assessment results and the external impact assessment results, and to formulate an energy allocation scheme based on the operating boundary.

[0015] By adopting the above technical solution, the present invention has the following advantages: By comprehensively considering the internal health status of energy storage devices and the impact of the external environment, the operating boundaries of energy storage devices are dynamically adjusted, thereby achieving more precise and reliable energy distribution in the complex and ever-changing port operation environment. This effectively avoids excessive wear and tear on energy storage devices under extreme operating conditions and solves the technical problem that existing technologies cannot improve the actual service life of energy storage devices, resulting in low power supply stability in ports. Attached Figure Description

[0016] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings. The drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings.

[0017] Figure 1 This is a flowchart illustrating a port multi-energy optimization and coordination method according to the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only one preferred embodiment of this invention and are only used to explain this invention. They do not limit the scope of protection of this invention. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0019] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations (or steps) can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it may also have additional steps not included in the figures; the process may correspond to a method, function, procedure, subroutine, subroutine, etc.

[0020] Example 1: like Figure 1 As shown, a port multi-energy optimization coordination method includes the following steps: S1: Evaluate the health status of energy storage devices based on their operating parameters and internal performance parameters to obtain internal evaluation results.

[0021] Energy storage devices typically refer to equipment used for energy storage and release in ports, such as battery energy storage systems and flywheel energy storage systems. Their core function is to store or release energy when there is an imbalance between power supply and demand, in order to maintain grid stability or meet load demands. Operating parameters refer to various data monitored in real time during the operation of the energy storage device, such as charging and discharging current, voltage, and temperature. Internal performance parameters refer to the inherent parameters of the energy storage device that reflect its performance characteristics, such as internal resistance, capacity, and cycle life. Health status is a key indicator for measuring the current performance and remaining lifespan of the energy storage device.

[0022] In some embodiments, before assessing the health status of the energy storage device based on its operating parameters and internal performance parameters to obtain internal assessment results, the method further includes: The initial operating parameters of the energy storage device are collected, and the initial operating parameters are filtered to obtain the process operating parameters. The process operating parameters are verified by a multi-point redundant acquisition and real-time data verification mechanism.

[0023] In this embodiment, filtering the initial operating parameters to obtain process operating parameters can be understood as performing noise removal, outlier removal, and data smoothing on the collected initial operating parameters. For example, algorithms such as Kalman filtering and median filtering can be used to eliminate random noise caused by sensor errors and environmental interference, thereby obtaining more stable process operating parameters that are closer to the true values ​​and improving the usability of the parameters. Multi-point redundant acquisition and real-time data verification mechanisms are used to verify and obtain operating parameters. Specifically, this involves deploying multiple identical or different types of sensors at key locations in the energy storage device to collect data on the same physical quantity from multiple points, forming a redundant data stream. Simultaneously, a real-time data verification mechanism is established, for example, by setting threshold ranges, data consistency checks, and trend analysis, to cross-compare and verify the redundantly acquired process operating parameters in real time. When data anomalies or inconsistencies are detected, corrections or alarms are triggered, thereby ensuring the accuracy, completeness, and reliability of the operating parameters ultimately used for health status assessment. By improving parameter quality, assessment bias caused by a single sensor failure is prevented.

[0024] In some embodiments, the assessment of the health status of the energy storage device based on its operating parameters and internal performance parameters to obtain internal assessment results includes: The operating parameters and internal performance parameters are preprocessed, and the first Pearson correlation coefficient between the operating parameters and the health status is calculated. The second Pearson correlation coefficient between the internal performance parameters and the health status is also calculated. The operating parameters corresponding to the first Pearson correlation coefficient which is less than the preset correlation coefficient are removed from the operating parameters to obtain the final operating parameters. The internal performance parameters corresponding to the second Pearson correlation coefficient which is less than the preset correlation coefficient are removed from the internal performance parameters to obtain the final internal performance parameters. The final operating parameters are then compared with the final internal performance parameters and the safety parameters of the energy storage device to obtain the internal evaluation results.

[0025] Understandably, the operating and internal performance parameters collected by energy storage devices include data with weak or no correlation to their health status. Directly using all parameters for evaluation would reduce the efficiency of energy allocation scheme acquisition. Therefore, by obtaining the Pearson correlation coefficient between these parameters and the health status, parameters with weak or no correlation to the health status are eliminated, thereby improving the efficiency of obtaining internal evaluation results and significantly increasing the efficiency of energy allocation scheme acquisition. The preset correlation coefficient can be flexibly set according to the user's actual needs.

[0026] S2: Sensing changes in the external environment and operational anomalies in the port area, and assessing the impact of these changes on the health status of energy storage equipment to obtain external impact assessment results.

[0027] Specifically, the changes in the external environment include at least changes in climate and changes in power grid operation; The abnormal operating conditions include at least abnormal operating conditions of energy storage equipment, auxiliary system failures, and abnormal dispatching commands.

[0028] Understandably, climate change refers to external natural conditions that affect the operation of energy storage devices, such as ambient temperature, humidity, wind speed, and solar radiation intensity. These factors can directly or indirectly affect the heat dissipation performance, insulation performance, and battery activity of energy storage devices, thus impacting their health. Grid operation changes refer to fluctuations in the operating status of the power grid, such as voltage fluctuations, frequency deviations, harmonic pollution, short-circuit faults, or power outages. These changes may cause energy storage devices to experience abnormal charging and discharging stress, accelerating their aging or posing safety risks. Abnormal operating conditions of energy storage devices refer to unexpected states that occur during normal operation, such as uneven cell voltage, increased internal resistance, excessively high or low temperatures, or abnormally low charging and discharging efficiency. Auxiliary systems refer to the support and protection systems that provide support for energy storage devices. Auxiliary system failures specifically refer to cooling system failures, fire suppression system failures, monitoring system communication interruptions, or sensor failures. These failures may prevent energy storage devices from operating safely or under optimal conditions. Dispatch instruction anomaly refers to instructions received from the upper-level dispatch system that do not conform to the actual operating capacity or safety limits of the energy storage device. For example, it may require the energy storage device to charge or discharge beyond its maximum power or minimum state of charge, or to frequently start and stop at inappropriate times.

[0029] Understandably, the external impact assessment results are used to quantify the impact of various external operating conditions on the health status, performance output, and lifespan degradation of energy storage equipment. By automatically filtering out operating conditions with no substantial impact or negligible impact, only key stress combinations that can cause sudden changes in the internal resistance of energy storage equipment, power output fluctuations, and accelerated lifespan degradation are retained. This effectively avoids the inclusion of invalid interference factors in the judgment scope of composite extreme stress situations, and significantly improves the judgment accuracy of composite extreme stress situations.

[0030] S3: Obtain the operating boundary of the energy storage device based on the internal assessment results and the external impact assessment results, and formulate an energy allocation plan based on the operating boundary.

[0031] In some preferred embodiments, obtaining the operating boundary of the energy storage device based on internal assessment results and external impact assessment results includes: Based on the external impact assessment results, a complex extreme stress scenario is obtained, and the internal resistance change trajectory of the energy storage device under current surge is obtained based on the operating parameters of the energy storage device. The instantaneous power output capability and potential degradation risk of the energy storage device are obtained based on the trajectory of internal resistance changes. The instantaneous power output capability and potential degradation risk are used to assess the instantaneous power limit and sustainable discharge capability of the energy storage device under complex extreme stress conditions. The operating boundary of the energy storage device is obtained based on the instantaneous power limit, sustainable discharge capability and internal assessment results. The operating boundary includes the maximum discharge power and the minimum state of charge.

[0032] Composite extreme stress scenarios refer to complex operating conditions formed by the superposition of multiple external environmental changes (such as extreme weather and power grid fluctuations) and operational anomalies (such as equipment failure and abnormal dispatch instructions), which have a significant negative impact on the health status of energy storage equipment. The trajectory of internal resistance change in energy storage equipment under current surge refers to the dynamic curve of its internal equivalent series resistance changing over time when the energy storage equipment experiences a surge event such as instantaneous high-current charging / discharging or a short circuit. This trajectory can be calculated and recorded in real time by sampling the voltage and current data of the energy storage equipment at high frequency and combining it with Ohm's law. Instantaneous power output capability refers to the maximum power that an energy storage device can output instantaneously without causing overload or damage under its current health, state of charge, and temperature conditions. Potential degradation risk refers to the possibility and extent to which the performance (such as capacity and power) of an energy storage device will accelerate its decline or its lifespan will be shortened under specific operating conditions. Instantaneous power limit refers to the maximum instantaneous charge and discharge power that an energy storage device can safely withstand under combined extreme stress conditions. Sustainable discharge capability refers to the power that an energy storage device can stably output for a long time under combined extreme stress conditions. Operating boundary is a key parameter that limits the safe operating range of an energy storage device. Among them, the maximum discharge power limits the peak power that the energy storage device can output at any time, while the minimum state of charge prevents the energy storage device from over-discharging, thereby protecting its internal structure and extending its service life, thus improving the stability of port power supply.

[0033] By introducing the identification of complex extreme stress scenarios, the adjustment of operating boundaries can anticipate potentially harsh operating conditions. By acquiring the trajectory of internal resistance changes in energy storage devices under current surges, the health and performance of these devices under transient stress can be reflected in real time and dynamically, overcoming the limitations of assessments based solely on static parameters. Based on this trajectory, the instantaneous power output capability and potential degradation risk can be further obtained, enabling a comprehensive and accurate assessment of the instantaneous power limit and sustainable discharge capability of energy storage devices under specific extreme conditions. Therefore, combining these more refined and dynamic performance limits with internal assessment results allows for more precise and adaptive adjustments to the operating boundaries of energy storage devices. This adjustment mechanism allows energy storage devices to maximize their performance while ensuring safety, effectively avoiding performance degradation and shortened lifespan due to overuse or improper operation.

[0034] In one embodiment, it further includes: When the energy allocation plan indicates insufficient power, data from the power system operation, port operation management system, logistics scheduling system, and environmental monitoring system are acquired. These data are then integrated to obtain a view of the overall port operation status. Flexible adjustment points in port operation are identified, and their power reduction potential is obtained. Based on the power reduction potential of these flexible adjustment points, the overall port operation status view, and the impact of these flexible adjustment points on the overall port operation, the optimal energy allocation plan is determined.

[0035] In this embodiment, power system operation data includes real-time power supply capacity, electricity price, line load, and fault information of the power grid; port operation management system data includes terminal operation plans, equipment operating status, and personnel scheduling; logistics dispatch system data includes ship arrival and departure times, cargo loading and unloading plans, and truck dispatch information; and environmental monitoring system data includes meteorological conditions, tidal information, and pollution emission data. Integrating power system operation data, port operation management system data, logistics dispatch system data, and environmental monitoring system data to obtain a port overall operation status view can be understood as cleaning, standardizing, and fusing the aforementioned multi-source heterogeneous data, and constructing a comprehensive port overall operation status view that reflects key information such as current power supply and demand, operational load, logistics progress, and environmental conditions through a visual interface or data model. This port overall operation status view can help decision-makers intuitively understand the overall operational status of the port under power shortage conditions. "Identifying flexible adjustment points in port operations and obtaining the power reduction potential of these flexible adjustment points" refers to identifying equipment and processes within the complex port operation processes and equipment configurations where power load adjustments (such as reduction, transfer, or time shifting) can be made without seriously affecting core business operations. Flexible adjustment points can be auxiliary lighting, non-emergency ventilation systems, some yard equipment, or deferred cargo handling operations, etc. Power reduction potential refers to the maximum amount of power load that can be reduced at each flexible adjustment point within a specific time period and the duration thereof.

[0036] In some preferred embodiments, identifying flexible adjustment points in port operations and obtaining the power reduction potential of these flexible adjustment points includes: Acquire real-time load data and operating status data of operating equipment in each operating area of ​​the port. Based on the real-time load data, obtain the instantaneous load change trend of each operating area of ​​the port. Based on the instantaneous load change trend, operating status data of operating equipment, and priority rules of each operating process in the port, obtain adjustable operating equipment and / or adjustable operating links. Based on the energy consumption characteristics of adjustable operating equipment and / or the adjustable duration of adjustable operating links, obtain the initial power reduction potential of adjustable operating equipment and / or adjustable operating links. Assess the impact of the initial power reduction potential on the overall port operation by taking the adjustable operating equipment and / or adjustable operating links that meet the preset conditions as flexible adjustment points, and obtain the power reduction potential of the flexible adjustment points based on the initial power reduction potential.

[0037] In this embodiment, adjustable operating equipment refers to equipment whose operation can be temporarily interrupted, slowed down, or adjusted without significantly affecting the core operational efficiency of the port, such as some lighting systems, auxiliary ventilation equipment, and non-emergency maintenance equipment. Adjustable operating links refer to links in the port operation process that can be adjusted in time or sequence without affecting the overall operation progress, such as short-term storage of certain goods or equipment maintenance during off-peak periods. The priority rules of each port operation process define the importance and urgency of different operation tasks. By comprehensively considering these factors, equipment or links with adjustment potential are screened, thereby improving the accuracy of obtaining flexible adjustment points. By assessing the impact of the initial power reduction potential on the overall port operation, it is ensured that power reduction measures will not have unacceptable negative impacts on the port's core business processes, logistics efficiency, or safety. Preset conditions may include, but are not limited to: the impact on the workload of core operating equipment does not exceed a specific threshold, the delay on the task queue does not exceed an acceptable range, and no new operation path conflicts are introduced. Only when the assessment results show that its impact meets these preset conditions will the corresponding adjustable operating equipment and / or adjustable operating link be identified as a flexible adjustment point. By accurately obtaining the predicted flexible adjustment point and its power reduction potential, the practicality and safety of power reduction measures are ensured, thereby guaranteeing the safety and reliability of port power supply.

[0038] In another embodiment, the process of obtaining the optimal energy allocation scheme based on the power reduction potential of the flexible adjustment point, the overall port operation status view, and the impact of the flexible adjustment point on the overall port operation further includes: obtaining an adjustment scheme based on the flexible adjustment point; simulating the execution of the adjustment scheme to obtain the first impact of the adjustment scheme on the logistics chain, the second impact on the scheduling of operating equipment, and the third impact on the operating efficiency, and obtaining the nonlinear response of the adjustment scheme; and obtaining the impact of the flexible adjustment point on the overall port operation based on the first impact, the second impact, the third impact, and the nonlinear response.

[0039] Understandably, the acquired adjustment plan is simulated and executed using simulation models or digital twin systems. Specifically, the "first impact on the logistics chain" refers to assessing the impact of the adjustment plan on internal and external port logistics transportation, cargo turnover, and warehousing management, such as analyzing whether the adjustment plan will lead to cargo backlog, transportation delays, or increased logistics costs. The "second impact on equipment scheduling" refers to assessing the impact of the adjustment plan on the scheduling plans, utilization rates, and collaborative operation efficiency of various port operating equipment (such as cranes, AGVs, and forklifts), such as analyzing whether the adjustment plan will cause equipment idleness, task conflicts, or increased scheduling complexity. The "third impact on operational efficiency" refers to assessing the impact of the adjustment plan on key performance indicators such as throughput, operation cycle, and resource utilization of the overall port operation process, such as analyzing whether the adjustment plan will reduce the overall port operation efficiency or extend the time ships spend in port. "Obtaining the nonlinear response of the adjustment plan" refers to identifying and quantifying the nonlinear effects that the adjustment plan may cause in the complex port operation system. Port systems are typically highly complex and interconnected. Some adjustments may have a small initial impact, but once a certain threshold is exceeded, they can trigger chain reactions or systemic bottlenecks, leading to a non-linear increase in impact. For example, a small reduction in power at a flexible control point may have little effect, but a large reduction could cause a sharp decline in the efficiency of related core operating equipment, or even halt the entire operational process. "Identifying the impact of flexible control points on overall port operations based on the first, second, and third impacts, as well as non-linear responses" refers to comprehensively assessing these multi-dimensional impacts and non-linear responses to create a comprehensive, quantitative report on the overall port operations after the activation of flexible control points. This report includes not only direct impacts but also indirect impacts and potential risks. It avoids operational inefficiencies and resource waste caused by one-sided decision-making, and can anticipate and mitigate potential bottlenecks or chain reactions, thereby ensuring the port's stability and operational efficiency in the face of power shortages.

[0040] In another embodiment, assessing the impact of the initial power reduction potential on the overall port operation includes: Acquire real-time workload data, current task queue data, and preset work path data of the operating equipment; obtain the task priority and work path conflict points of the operating equipment based on the current task queue data and preset work path data, respectively; simulate the impact of short-term shutdown or speed adjustment of the operating equipment on the real-time workload data, current task queue data, and preset work path data of the operating equipment, and obtain simulation results; The impact of the initial power reduction potential on the overall port operation is assessed based on simulation results, real-time workload data of operating equipment, task priorities, and operational path conflict points.

[0041] Understandably, this involves simulating the impact of short-term downtime or speed adjustments of operational equipment on real-time workload data, current task queue data, and preset work path data through simulation models or digital twin systems. Specifically, simulating the impact of short-term downtime or speed adjustments on these data refers to whether, after the shutdown of non-core equipment within the operational equipment, the tasks it serves will be transferred to core operational equipment, thereby increasing the real-time workload data of the core equipment; or whether speed adjustments will alter the overall operational rhythm, thus affecting the equipment's task queue data and preset work path data. This simulation quantifies the specific impact of operational equipment adjustments on core operations. "Assessing the impact of initial power reduction potential on overall port operations based on simulation results, real-time workload data of operational equipment, task priorities, and work path conflict points" aims to determine whether power reduction of operational equipment will lead to negative impacts such as workload overload, delays in high-priority tasks, or increased work path conflicts. If the assessment results show that the impact of power reduction on core operations is within acceptable limits, it indicates that the power reduction plan for this flexible adjustment point is feasible.

[0042] Example 2: This embodiment also provides a port multi-energy optimization and coordination system, which is applicable to the port multi-energy optimization and coordination method, including: an internal evaluation result acquisition module, used to evaluate the health status of the energy storage device based on the operating parameters and internal performance parameters of the energy storage device and obtain the internal evaluation result; The external impact assessment result acquisition module is used to sense changes in the external environment and abnormal operation in the port area, and to assess the impact of these changes on the health status of energy storage equipment to obtain external impact assessment results. The energy allocation scheme acquisition module is used to obtain the operating boundary of the energy storage device based on the internal assessment results and the external impact assessment results, and to formulate an energy allocation scheme based on the operating boundary.

[0043] The specific embodiments described above are preferred embodiments of the port multi-functional optimization and coordination method and system of the present invention, and are not intended to limit the specific scope of the present invention. The scope of the present invention includes but is not limited to the specific embodiments described above. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.

Claims

1. A port multi-energy optimization coordination method, characterized in that, Includes the following steps: The health status of energy storage devices is assessed based on their operating parameters and internal performance parameters to obtain internal assessment results. The system senses changes in the external environment and operational anomalies in the port area, assesses the impact of these changes on the health of energy storage equipment, and obtains external impact assessment results. The operating boundary of the energy storage device is obtained based on the internal assessment results and the external impact assessment results, and an energy allocation plan is formulated based on the operating boundary.

2. The port multi-energy optimization and coordination method according to claim 1, characterized in that, Before obtaining the internal assessment results by evaluating the health status of the energy storage device based on its operating parameters and internal performance parameters, the process also includes: The initial operating parameters of the energy storage device are collected, and the initial operating parameters are filtered to obtain the process operating parameters. The process operating parameters are verified by a multi-point redundant acquisition and real-time data verification mechanism.

3. The port multi-energy optimization and coordination method according to claim 1, characterized in that, The assessment of the health status of the energy storage device based on its operating parameters and internal performance parameters to obtain internal assessment results includes: The operating parameters and internal performance parameters are preprocessed, and the first Pearson correlation coefficient between the operating parameters and the health status is calculated. The second Pearson correlation coefficient between the internal performance parameters and the health status is also calculated. The operating parameters corresponding to the first Pearson correlation coefficient which is less than the preset correlation coefficient are removed from the operating parameters to obtain the final operating parameters. The internal performance parameters corresponding to the second Pearson correlation coefficient which is less than the preset correlation coefficient are removed from the internal performance parameters to obtain the final internal performance parameters. The final operating parameters are then compared with the final internal performance parameters and the safety parameters of the energy storage device to obtain the internal evaluation results.

4. The port multi-energy optimization and coordination method according to claim 1, characterized in that, The changes in the external environment include at least changes in climate and changes in power grid operation; The abnormal operating conditions include at least abnormal operating conditions of energy storage equipment, auxiliary system failures, and abnormal dispatching commands.

5. The port multi-energy optimization and coordination method according to claim 1, characterized in that, The process of obtaining the operating boundary of the energy storage device based on internal assessment results and external impact assessment results includes: Based on the external impact assessment results, a complex extreme stress scenario is obtained, and the internal resistance change trajectory of the energy storage device under current surge is obtained based on the operating parameters of the energy storage device. The instantaneous power output capability and potential degradation risk of the energy storage device are obtained based on the trajectory of internal resistance changes. The instantaneous power output capability and potential degradation risk are used to assess the instantaneous power limit and sustainable discharge capability of the energy storage device under complex extreme stress conditions. The operating boundary of the energy storage device is obtained based on the instantaneous power limit, sustainable discharge capability and internal assessment results. The operating boundary includes the maximum discharge power and the minimum state of charge.

6. The port multi-energy optimization and coordination method according to claim 1, characterized in that, Also includes: When the energy allocation plan indicates insufficient power, acquire power system operation data, port operation management system data, logistics dispatch system data, and environmental monitoring system data; By integrating power system operation data, port operation management system data, logistics dispatch system data, and environmental monitoring system data, an overall port operation status view is obtained; flexible adjustment points in port operation are identified, and the power reduction potential of these flexible adjustment points is obtained; based on the power reduction potential of these flexible adjustment points, the overall port operation status view, and the impact of these flexible adjustment points on the overall port operation, the optimal energy allocation scheme is obtained.

7. The port multi-energy optimization and coordination method according to claim 6, characterized in that, The identification of flexible adjustment points in port operations and the acquisition of the power reduction potential of these flexible adjustment points include: Acquire real-time load data and operating status data of operating equipment in each operating area of ​​the port. Based on the real-time load data, obtain the instantaneous load change trend of each operating area of ​​the port. Based on the instantaneous load change trend, operating status data of operating equipment, and priority rules of each operating process in the port, obtain adjustable operating equipment and / or adjustable operating links. Based on the energy consumption characteristics of adjustable operating equipment and / or the adjustable duration of adjustable operating links, obtain the initial power reduction potential of adjustable operating equipment and / or adjustable operating links. Assess the impact of the initial power reduction potential on the overall port operation by taking the adjustable operating equipment and / or adjustable operating links that meet the preset conditions as flexible adjustment points, and obtain the power reduction potential of the flexible adjustment points based on the initial power reduction potential.

8. A port multi-energy optimization and coordination method according to claim 6, characterized in that, The method for obtaining the optimal energy allocation scheme based on the power reduction potential of the flexible adjustment point, the overall port operation status view, and the impact of the flexible adjustment point on the overall port operation also includes: obtaining an adjustment scheme based on the flexible adjustment point, simulating the execution of the adjustment scheme to obtain the first impact of the adjustment scheme on the logistics chain, the second impact on the scheduling of operating equipment, and the third impact on the operating efficiency, and obtaining the nonlinear response of the adjustment scheme; and obtaining the impact of the flexible adjustment point on the overall port operation based on the first impact, the second impact, the third impact, and the nonlinear response.

9. A port multi-energy optimization and coordination method according to claim 7, characterized in that, The assessment of the initial potential for power reduction on the overall port operations includes: Acquire real-time workload data, current task queue data, and preset work path data of the operating equipment; obtain the task priority and work path conflict points of the operating equipment based on the current task queue data and preset work path data, respectively; simulate the impact of short-term shutdown or speed adjustment of the operating equipment on the real-time workload data, current task queue data, and preset work path data of the operating equipment, and obtain simulation results; The impact of the initial power reduction potential on the overall port operation is assessed based on simulation results, real-time workload data of operating equipment, task priorities, and operational path conflict points.

10. A port multi-energy optimization and coordination system, applicable to the port multi-energy optimization and coordination method according to any one of claims 1-9, characterized in that, include: The internal assessment result acquisition module is used to assess the health status of energy storage devices based on their operating parameters and internal performance parameters, and to obtain internal assessment results. The external impact assessment result acquisition module is used to sense changes in the external environment and abnormal operation in the port area, and to assess the impact of these changes on the health status of energy storage equipment to obtain external impact assessment results. The energy allocation scheme acquisition module is used to obtain the operating boundary of the energy storage device based on the internal assessment results and the external impact assessment results, and to formulate an energy allocation scheme based on the operating boundary.

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