Method for directly calculating maximum power capability of integrated energy system

Abstract

The invention discloses a method for directly calculating the maximum power capability of an integrated energy system, which is applied to the integrated energy system comprising a power system, a natural gas system and a thermodynamic system, and comprises the following steps: S1, defining the power capability TWC of the integrated energy system as the sum of loads of all nodes, respectively establishing a power capability model and a maximum power capability model of the comprehensive energy system for the sum of all load supplies; the physical constraints of the power capability model of the integrated energy system comprise a smoke flow equality constraint and an inequality constraint; s2, using a prime-dual interior point method or a genetic algorithm to solve a maximum power capability model of the integrated energy system; and S3, the power capability corresponding to all the critical working points in the power domain of the integrated energy system is arranged in an ascending order according to numerical values to form a curve, and a power capability curve model of the integrated energy system is established and used for describing the power capability range change of the critical working points.

Description

Technical Field

[0001] This invention belongs to the field of energy quality analysis technology for integrated energy systems, and relates to the fields of safety analysis, integrated energy systems, power systems, natural gas systems, and thermal systems. In particular, it relates to a method for directly calculating the maximum work capacity of an integrated energy system. Background Technology

[0002] The "dual-carbon" strategic goal is guiding the transformation and upgrading of the energy and power sector, prompting society to continuously pursue higher levels of energy utilization. The essence of energy utilization is the utilization of work capacity; therefore, while focusing on the quantity of energy, we should also pay attention to its quality. In recent years, experts and scholars have gradually recognized the importance of energy quality to Integrated Energy Systems (IES), acknowledging the limitations of considering only the quantity of energy in improving energy utilization levels. With the rise of the energy internet and the large-scale growth of new energy sources, multi-energy systems, represented by integrated energy systems (IES), are becoming increasingly tightly coupled. To absorb a high proportion of new energy sources, new technologies such as green electricity to produce hydrogen, electric heating, and hydrogen blending in natural gas pipelines are being introduced into integrated energy systems. On the one hand, this enriches the energy types of integrated energy systems; on the other hand, it highlights the differences in energy quality within integrated energy systems, leading to more pronounced differences in work capacity within the systems.

[0003] Energy supply capacity is an important indicator for planning and operational research in energy systems, and has been extensively studied in fields such as power systems, integrated energy systems, shipboard integrated power systems, transportation networks, and natural gas pipeline networks. Considering that energy (or energy) is an objectively existing part of energy and measures the energy's ability to do work, similar to energy supply capacity, the ability to do work also has an operational range and limits.

[0004] The idea that quantity does not equate to quality also applies to the energy sector. Existing research on the energy supply capacity of integrated energy systems is based on energy flow models, characterizing the range and limits of energy supply quantity. The duality of energy quantity and quality indicates that simply increasing the quantity of energy supplied does not necessarily improve the usable work capacity of integrated energy systems (IES), meaning that traditional research cannot accurately reflect the range and limits of work capacity. This also leads to the fact that optimal scheduling strategies for energy supply capacity development may not necessarily take into account optimal work capacity. Therefore, it is necessary to discuss the maximum range and limits of the work capacity of integrated energy systems. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies and solve the problems of accurately calculating the maximum work capacity and defining the range of work capacity of integrated energy systems when conducting energy quality analysis. This invention provides a method for modeling and directly calculating the maximum work capacity of integrated energy systems, thereby achieving accurate calculation of the work capacity and characterization of its range.

[0006] The objective of this invention is achieved through the following technical solution:

[0007] A direct calculation method for the maximum work capacity of an integrated energy system is proposed, applicable to integrated energy systems including power systems, natural gas systems, and heat systems, comprising:

[0008] S1. Define the total work capacity (TWC) of the integrated energy system as the sum of the loads of all nodes. The total work capacity refers to the sum of the loads supplied to all loads when the integrated energy system meets the safety criteria. Establish the total work capacity model and the maximum work capacity model of the integrated energy system respectively. The physical constraints of the total work capacity model of the integrated energy system include flue gas flow equality constraints and inequality constraints.

[0009] S2. Solve the maximum work capacity model of the integrated energy system using the original dual interior point method or genetic algorithm;

[0010] S3. Establish a work capacity curve model of the integrated energy system by arranging the work capacity corresponding to all critical operating points in the work domain in ascending order of numerical value. This model is used to describe the range of capacity changes at critical operating points.

[0011] Furthermore, in step S1,

[0012] The work capacity model of the integrated energy system is as follows:

[0013] (1)

[0014] Wherein, TWC is the working capacity of the integrated energy system under the current operating state; the integrated energy system has the load of n electrical load nodes, the load of o natural gas load nodes, and the load of m heat load nodes; Let i be the i-th power load, in MW; Let j be the j-th natural gas load, in MW. The k-th heat load is expressed in MW. For the set of constraints on the flow equation of the integrated energy system; This is the set of current inequality constraints for the integrated energy system, ensuring that the current does not exceed the limit during the operation of the integrated energy system IES.

[0015] The maximum work capacity model of the integrated energy system is:

[0016] (2)

[0017] in, The maximum work capacity of the integrated energy system means that the load obtains the most work capacity under this operating condition.

[0018] Furthermore, in step S3, the work capacity curve model of the integrated energy system is represented as follows:

[0019] (3)

[0020] in, This represents the work capacity curve of an integrated energy system. The coordinates of the points on the curve; This is the run point number, which has no physical meaning; For the first The work capacity corresponding to each running point; The first part of the work capacity curve of an integrated energy system One running point; Safety boundaries that satisfy safety constraints.

[0021] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the direct calculation method for the maximum work capacity of the integrated energy system.

[0022] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for directly calculating the maximum work capacity of the integrated energy system.

[0023] Compared with the prior art, the beneficial effects of the technical solution of the present invention are:

[0024] 1. Direct calculation of the maximum work capacity of an integrated energy system: Compared with the method of obtaining the work capacity of an integrated energy system through energy quality coefficient conversion, this invention realizes the direct calculation of the maximum work capacity of an integrated energy system, and uses the original dual interior point method or genetic algorithm to solve it, which greatly reduces the calculation time and ensures the accuracy of the calculation results.

[0025] 2. The invention achieves the characterization of the performance capacity range of an integrated energy system: The performance capacity curve of the integrated energy system described by this invention can show the performance capacity range of the integrated energy system under current operating constraints, including its maximum and minimum values. This can provide useful quantitative indicators for the planning of integrated energy systems and identify planning schemes with higher quality characteristics.

[0026] 3. Supporting the efficient and high-quality development of integrated energy systems: With the development and utilization of a large amount of renewable energy such as green electricity, green hydrogen, and geothermal energy, the direct calculation method for the maximum work capacity of integrated energy systems provided by this invention can take into account the multi-energy coupling characteristics of electricity, gas, and heat, improve the resilience of integrated energy systems to load fluctuations, and promote the safe and efficient operation of integrated energy systems. It provides a reliable model foundation for the planning, operation scheduling, and trading of integrated energy systems with a high proportion of new energy access.

[0027] In summary, the integrated energy system maximum work capacity modeling and direct calculation method provided by this invention not only ensures the calculation efficiency and accuracy of maximum work capacity, but also provides important technical support for the future development of energy systems, and has significant economic and social benefits. Attached Figure Description

[0028] Figure 1 Flowchart of the direct calculation method for the maximum work capacity of an integrated energy system.

[0029] Figure 2 A flowchart for the maximum work capacity curve of an integrated energy system.

[0030] Figure 3 This is a comprehensive energy system topology diagram for an example.

[0031] Figure 4 A work capacity curve is generated for the integrated energy system in the example. Detailed Implementation

[0032] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention.

[0033] Example 1

[0034] This embodiment provides a method for directly calculating the maximum work capacity of an integrated energy system. The calculation process is as follows: Figure 1 As shown, it includes:

[0035] S1. Define the total work capability (TWC) of an integrated energy system as the sum of the loads at all nodes. Specifically, the work capability refers to the sum of the loads supplied to all loads when the integrated energy system meets safety criteria. Establish the TWC model and the maximum work capability model of the integrated energy system respectively.

[0036] 101: The work-capacity model of an integrated energy system is as follows:

[0037] (1)

[0038] Wherein, TWC is the working capacity of the integrated energy system under the current operating state; the integrated energy system has the load of n electrical load nodes, the load of o natural gas load nodes, and the load of m heat load nodes; Let i be the i-th power load, in MW; Let j be the j-th natural gas load, in MW. The k-th heat load is expressed in MW. For the set of constraints on the flow equation of the integrated energy system; This is a set of current inequality constraints for the integrated energy system, ensuring that the current does not exceed the limit during IES operation.

[0039] 102: The maximum work capacity model of an integrated energy system is:

[0040] (2)

[0041] in, Also known as the maximum working capacity of an integrated energy system, it indicates the maximum working capacity that the load obtains under this operating condition.

[0042] S2. Solve the maximum work capacity model of the integrated energy system using the original dual interior point method or genetic algorithm.

[0043] 201: Using Equation (2) as the optimization model, determine the decision variables and form the initial population.

[0044] 202: Iteratively perform fitness evaluation, selection, crossover, and mutation operations to continuously evolve until the optimal solution is found.

[0045] S3. The curve formed by arranging the work capacity corresponding to all critical operating points in the work domain of the integrated energy system in ascending order of numerical value is called the work capacity curve model. The work capacity curve model of the integrated energy system is established.

[0046] 301: The mathematical model of the work-capacity curve model of an integrated energy system can be expressed as follows:

[0047] (3)

[0048] in, Represents the TWC curve; The coordinates of the points on the curve; This is the run point number, which has no physical meaning; For the first The work capacity corresponding to each running point; Represents the first on the TWC curve There are several running points.

[0049] The solution process for the work-capacity curve model of an integrated energy system is as follows: Figure 2 As shown. Specifically, it includes: establishing the work domain of the integrated energy system in y-dimensional space; screening all critical operating points and removing duplicate critical operating points; obtaining the safety boundary in y-dimensional space; calculating the work capacity of each critical operating point; arranging the critical operating points in ascending order of work capacity value to obtain the sampling points; and generating the work capacity curve of the integrated energy system with the sampling point number as the modulus and the work capacity as the ordinate.

[0050] Example 2

[0051] This embodiment provides supplementary explanations to the above-mentioned method for directly calculating the maximum work capacity of a comprehensive energy system, based on specific applications and data, as follows:

[0052] The direct calculation method for the maximum work capacity of the integrated energy system proposed in this embodiment is applied to an embodiment of an integrated energy system with 4 nodes for electricity, 5 nodes for natural gas, and 3 nodes for heat, to model the work domain of the integrated energy system and verify the effectiveness of the invention.

[0053] The integrated energy system topology used in this embodiment is as follows: Figure 3 As shown, the system includes a 4-node power system, a 5-node natural gas system, and a 3-node heating system. The power system power factor is constant at 0.95, and the phase angle difference between the two ends of the line ranges from -10° to 10°. The calorific value of the natural gas is 45.574 MJ / m³. 3 Theoretical combustion temperature The temperature was kept constant at 1973℃, and the ambient temperature was 10℃. (The following is a separate, unrelated sentence: "Will be...") Figure 3 The three typical coupling configurations shown are used as energy stations in the examples, resulting in three typical examples (hereinafter referred to as Type I, Type II, and Type III). Type III uses geothermal energy (GE) as an example. For Type I, the natural gas allocation coefficients for CHP and GB are... The heat distribution coefficient is 0.5 for Type II, CHP, and EB. The heat distribution coefficient is 0.5 for Type III, CHP, and HB. The value is 0.5. Other detailed parameters are shown in Tables 1-7.

[0054] Table 1 Power System Node Current Parameters

[0055]

[0056] Table 2 Current parameters of power system lines

[0057]

[0058] Table 3. Flow parameters of natural gas system nodes

[0059]

[0060] Table 4. Flow parameters of natural gas system pipelines

[0061]

[0062] Table 5. Flow parameters at nodal points in the thermal system

[0063]

[0064] Table 6 Flow parameters of thermal system pipelines

[0065]

[0066] Table 7 Parameters of Energy Conversion Equipment

[0067]

[0068] Based on the direct calculation method for the maximum work capacity of integrated energy systems proposed in this invention, work capacity models, maximum work capacity models, and work capacity curve models for three types of integrated energy systems in the embodiments are established. The primal-dual interior-point method is used to obtain the maximum work capacity model. The energy supply capabilities of the mappings are shown in Table 8. Also, based on the original-dual interior-point method and the maximum energy supply capability model, the results are obtained. In contrast.

[0069] Table 8 Maximum work capacity and energy supply capacity of Type I-Type III

[0070]

[0071] It can be observed that when Type I reaches its maximum work capacity, its power supply capacity also reaches its maximum. When Type II reaches its maximum work capacity of 9.4110MW, its power supply capacity is only 13.3546MW, which is 1.4789MW less than its maximum power supply capacity. When Type III reaches its maximum work capacity, its power supply capacity is 0.3214MW less than its maximum power supply capacity. Therefore, traditional optimization methods based on the operating domain, while pursuing higher power supply capacity, do not necessarily balance work capacity.

[0072] based on Figure 2 The calculation process involves solving the work-energy curve model to obtain the work-energy curves for Type I to Type III, as follows: Figure 4 As shown in (a)-(c), the sampling step sizes are as follows: 1 MW for electrical load, 0.76 MW for gas load, and 0.1 MW for thermal load. Similarly, by solving the power supply capacity curve model, the power supply capacity curves for Type I-Type III are obtained, as shown below. Figure 4 As shown in (d)-(f), the sampling step sizes are as follows: 1 MVA for electrical load and 86 m for gas load. 3 / h, the sampling step size for heat load is 1 MW.

[0073] Different integrated energy systems (IES) have different energy supply and work capabilities. Specific examples are as follows:

[0074] 1) Type III has the largest range of work capacity and power supply capacity. This indicates that under the same safety criteria, Type III has the strongest ability to withstand load fluctuations. This is because Type III has HP, which allows it to obtain a large amount of heat energy from nature with less electrical energy. Therefore, it is not easy to break through the constraints of natural gas pressure and power flow, so the thermal load nodes can obtain more heat energy, and the thermal-electric decoupling effect is obvious.

[0075] 2) Although from an overall perspective, such as Figure 4 As shown, the working capacity (TWC) and energy supply capacity (TSC) of integrated energy systems show the same growth trend, but a closer look reveals... Figure 4 As shown in the black shaded area, the ability to do work and the ability to supply energy are not entirely positively correlated.

[0076] There are two methods for solving the maximum work capacity problem: the direct method and the indirect method. The direct method, as proposed in this invention, uses the primal-dual interior-point method to solve the maximum work capacity model. The indirect method requires setting the sampling step size of the operating domain, mapping the complete work domain based on the transformation relationship between the operating domain and the work domain, and then selecting the operating point with the maximum work capacity.

[0077] The calculation results of the two solution methods are shown in Table 9. The indirect method takes 40 to 130 times longer than the direct method, and an accurate solution has still not been found. Point. If the sampling step size of the indirect method is reduced, it may be possible to find... While it allows for more computation, it inevitably requires more time. Therefore, it is essential to establish a maximum work capacity model.

[0078] Table 9 Comparison of Maximum Work Capacity Calculation Methods for Type I-Type III

[0079]

[0080] Example 3

[0081] Preferably, embodiments of this application also provide a specific implementation of an electronic device capable of implementing all steps in the direct calculation method for the maximum work capacity of the integrated energy system in the above embodiments. The electronic device specifically includes the following:

[0082] Processor, memory, communications interface, and bus;

[0083] The processor, memory, and communication interface communicate with each other via a bus; the communication interface is used to realize information transmission between server-side devices, metering devices, and user-side devices.

[0084] The processor is used to call the computer program in the memory. When the processor executes the computer program, it implements all the steps in the direct calculation method for the maximum work capacity of the integrated energy system in the above embodiments.

[0085] Example 4

[0086] Embodiments of this application also provide a computer-readable storage medium capable of implementing all steps of the direct calculation method for the maximum work capacity of the integrated energy system in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all steps of the direct calculation method for the maximum work capacity of the integrated energy system in the above embodiments.

[0087] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. In particular, hardware + program embodiments are relatively simple in description because they are fundamentally similar to method embodiments; relevant parts can be referred to the descriptions in the method embodiments.

[0088] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0089] While this application provides method operation steps as shown in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive labor. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual device or client product execution, the method can be executed in the order shown in the embodiments or drawings or in parallel (e.g., in a parallel processor or multi-threaded processing environment).

[0090] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0091] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0092] Unless otherwise specified, the model numbers of the various devices in this embodiment of the invention are not limited, and any device that can perform the above functions is acceptable.

[0093] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred embodiment, and the sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0094] This invention is not limited to the embodiments described above. The above description of specific embodiments is intended to illustrate and explain the technical solutions of this invention. The specific embodiments described above are merely illustrative and not restrictive. Without departing from the spirit and scope of the claims, those skilled in the art can make many specific modifications based on the teachings of this invention, and these modifications all fall within the scope of protection of this invention.

Claims

1. A method for directly calculating the maximum work capacity of an integrated energy system, characterized in that, Applied to integrated energy systems including power systems, natural gas systems, and heating systems, including: S1. Define the total work capacity (TWC) of the integrated energy system as the sum of the loads of all nodes. The total work capacity refers to the sum of the loads supplied to all loads when the integrated energy system meets the safety criteria. Establish the total work capacity model and the maximum work capacity model of the integrated energy system respectively. The physical constraints of the total work capacity model of the integrated energy system include flue gas flow equality constraints and inequality constraints. S2. Solve the maximum work capacity model of the integrated energy system using the original dual interior point method or genetic algorithm; S3. Establish a work capacity curve model of the integrated energy system by arranging the work capacity corresponding to all critical operating points in the work domain in ascending order of numerical value. This model is used to describe the range of work capacity changes at the critical operating points.

2. The method for directly calculating the maximum work capacity of an integrated energy system according to claim 1, characterized in that, In step S1, The work capacity model of the integrated energy system is as follows: ; (1) Wherein, TWC is the working capacity of the integrated energy system under the current operating state; the integrated energy system has the load of n electrical load nodes, the load of o natural gas load nodes, and the load of m heat load nodes; Let i be the i-th power load, in MW; Let j be the j-th natural gas load, in MW. The k-th heat load is expressed in MW. For the set of constraints on the flow equation of the integrated energy system; This is the set of current inequality constraints for the integrated energy system, ensuring that the current does not exceed the limit during the operation of the integrated energy system IES. The maximum work capacity model of the integrated energy system is: ; (2) in, The maximum work capacity of the integrated energy system means that the load obtains the most work capacity under this operating condition.

3. The method for directly calculating the maximum work capacity of an integrated energy system according to claim 1, characterized in that, In step S3, the work capacity curve model of the integrated energy system is represented as follows: ; (3) in, This represents the work capacity curve of an integrated energy system. The coordinates of the points on the curve; This is the run point number, which has no physical meaning; For the first The work capacity corresponding to each running point; The first part of the work capacity curve of an integrated energy system One running point; Safety boundaries that satisfy safety constraints.

4. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the direct calculation method for the maximum work capacity of the integrated energy system according to any one of claims 1 to 3.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the direct calculation method for the maximum work capacity of the integrated energy system as described in any one of claims 1 to 3.

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