Station service system load optimization configuration method under generator set leading phase working condition

Abstract

The invention discloses a load optimization configuration method for a station service system under a generator set leading phase working condition, and relates to the technical field of power plant optimization operation, comprising the following steps: station service power is used as a basic load for maintaining normal operation of a power plant, and the voltage quality is directly influenced by the state of a generator; during leading-phase operation, the voltage of a generator stator is reduced, so that the voltage of auxiliary power is reduced, the normal operation of auxiliary equipment is influenced, and even the safety and stability of a power plant are threatened. According to the method, an optimization model is constructed by establishing a plant system load model and combining the relation between terminal voltage and reactive power and plant bus voltage constraint. The particle swarm optimization algorithm is used for solving, the leading-phase reactive power is maximized, and meanwhile safe operation of the system is ensured. The method not only improves the reactive power regulation capability of leading phase operation, but also enhances the economical efficiency and stability of power plant operation, and has important practical application value.

Description

Technical Field

[0001] The present invention relates to the technical field of optimized operation of power plants, and specifically to a method for optimizing the load configuration of the auxiliary power system under the leading power factor operation condition of a generating unit. Background Technique

[0002] Auxiliary power is the basic power load to maintain the normal operation of a power plant, providing power and control power for the auxiliary equipment of the power plant (such as fans, coal mills, circulating water pumps, etc.). During normal operation, the auxiliary power is usually directly supplied by the generator, and its voltage quality and stability are directly affected by the state of the generator. However, during the leading power factor operation process, the stator voltage of the generator will decrease due to the reduction of the excitation current. This not only causes the auxiliary power voltage to drop, but may also affect the normal operation of the auxiliary power system. For example, low voltage may cause high-voltage motors to trip, or cause the operating electrical equipment to heat up due to increased current, thereby damaging the equipment insulation. In addition, leading power factor operation may also increase the active load of the generator, reduce its static stability, and even cause system oscillation accidents.

[0003] The existing measures for dealing with the problem that the reduction of the auxiliary power voltage during the leading power factor operation of the generating unit restricts the leading power factor depth are limited in effect under full load conditions, and there is a lack of systematic research on the overall optimization of the auxiliary power system. Existing research mostly focuses on local optimization; at the same time, the applicability and stability of the optimization algorithm under complex working conditions are insufficient. These problems limit the depth and breadth of leading power factor operation, affect the operation efficiency and safety of the power plant, and there is an urgent need to carry out more systematic and comprehensive research on the optimization configuration method. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the technical problems solved by the present invention are: the existing method for optimizing the load configuration of the auxiliary power system under the leading power factor operation condition of a generating unit has problems such as an inaccurate load calculation model of the auxiliary power system, insufficient constraints on system voltage stability, unclear quantification of the relationship between leading reactive power and voltage, and lack of an effective optimization algorithm, as well as the optimization problem of maximizing the leading reactive power and realizing the optimized configuration of the auxiliary power system load under the mutual constraints of voltage and power, and the problem that the leading power factor depth of the generating unit is limited due to unreasonable auxiliary power load configuration in the current power plant.

[0006] To solve the above technical problems, the present invention provides the following technical solution: A method for optimizing the load configuration of the auxiliary power system under the leading power factor operation condition of a generating unit, including:

[0007] According to the equivalent circuit of the induction asynchronous motor and considering the motor load characteristics on the busbar of the auxiliary power system, an auxiliary power system load model is established to determine the relationship between the auxiliary power load and the auxiliary power bus voltage; the relationship between the auxiliary power bus voltage and the generator terminal voltage is established, considering the influence of the change of the generator terminal voltage under the leading power factor operation mode on the auxiliary power bus voltage; the relationship between the auxiliary power bus voltage and the leading reactive power of the generator is established, considering the influence of the leading reactive power of the generator on the auxiliary power bus voltage under the leading power factor operation mode; lower and upper limit constraints for safe operation are set for the generator terminal voltage and the auxiliary power system bus voltage; an objective function is constructed with maximizing the leading reactive power as the optimization goal; the particle swarm optimization algorithm is used to solve the model, the particle swarm is initialized and iteratively optimized, and by updating the velocity and position of the particles, an optimal optimization configuration scheme for the auxiliary power load is obtained.

[0008] As a preferred scheme of a method for optimizing the configuration of the auxiliary power system load under the leading power factor operation mode of a generator set according to the present invention, wherein: the auxiliary power system load model is expressed as

[0009]

[0010] s α =R r / X l

[0011] X l =X r +X s

[0012] wherein, P p and Q p are respectively the active power and reactive power of the load on the auxiliary power busbar, U p is the auxiliary power busbar voltage, X r is the equivalent reactance of the rotor, X s is the equivalent reactance of the stator, X l is the sum of the equivalent reactance of the rotor and the equivalent reactance of the stator, s is the slip ratio, s α is the impedance ratio, X μ is the equivalent leakage reactance, R r is the rotor resistance.

[0013] As a preferred scheme of a method for optimizing the configuration of the auxiliary power system load under the leading power factor operation mode of a generator set according to the present invention, wherein: the relationship between the auxiliary power bus voltage and the generator terminal voltage is expressed as

[0014]

[0015] wherein, U ps is the medium voltage side bus voltage involved in the auxiliary power system of the power plant, U gis the terminal voltage of the generator, P ps and Q ps are the active power and reactive power of the load in the medium-voltage section of the auxiliary bus respectively, X c is the short-circuit impedance of the high-voltage auxiliary transformer, P pc and Q pc are the active power and reactive power of the load in the low-voltage section of the auxiliary bus respectively, X T is the short-circuit impedance of the dry-type transformer in the auxiliary system.

[0016] As a preferred scheme of a method for optimizing the load configuration of the auxiliary system under the leading phase operation condition of a generator set according to the present invention, wherein: the relationship between the auxiliary bus voltage and the leading phase reactive power of the generator is expressed as,

[0017]

[0018] wherein, Q s is the reactive power of the generator set in leading phase operation, P s is the active power of the generator set in leading phase operation, U s is the system-side voltage, X z is the short-circuit impedance of the main transformer.

[0019] As a preferred scheme of a method for optimizing the load configuration of the auxiliary system under the leading phase operation condition of a generator set according to the present invention, wherein: the lower and upper limit constraints for the safe operation of the terminal voltage and the auxiliary system bus voltage are expressed as,

[0020] 0.95U gn ≤U g ≤1.05U gn

[0021] 0.95U psn <U ps <1.05U psn

[0022] 0.93U pcn <U pc <1.07U pcn

[0023] wherein, U gn 、U psn 、U pcn are the rated terminal voltage, the rated medium-voltage auxiliary bus voltage, and the rated low-voltage auxiliary bus voltage respectively.

[0024] As a preferred scheme of a method for optimizing the load configuration of the auxiliary system under the leading phase operation condition of a generator set according to the present invention, wherein: the objective function is expressed as,

[0025] f=max|Qs |

[0026] Among them, Q s represents reactive power.

[0027] As a preferred solution of a method for optimizing the load configuration of the auxiliary power system under the leading power factor condition of the generator set described in the present invention, wherein: the optimization configuration scheme for obtaining the optimal auxiliary power load includes randomly generating a particle swarm, each particle representing a possible auxiliary power load configuration scheme, the position of which represents the values of each decision variable, and the decision variables include P p and Q p of the auxiliary power bus section, U p as well as the reactive power Q s of the generator and the terminal voltage U g ; the speed represents the rate of change of the position;

[0028] Each particle updates its position and speed according to its own historical optimal position and the global optimal position. The individual optimal position is the position with the best fitness in the history of the particle, and the global optimal position is the position with the best fitness in the entire population;

[0029] Iteratively update the particle swarm according to the speed and position update formula;

[0030] Through multiple iterations, the particle swarm gradually converges to the global optimal solution; after each iteration, update the individual optimal and global optimal positions and check whether the constraint conditions are satisfied;

[0031] After several iterations, the algorithm converges to obtain the optimal auxiliary power load optimization configuration scheme, including the active power, reactive power, voltage of each auxiliary power bus section, as well as the reactive power of the generator and the terminal voltage, so as to maximize the leading reactive power of the system generator.

[0032] As a preferred solution of a method for optimizing the load configuration of the auxiliary power system under the leading power factor condition of the generator set described in the present invention, wherein: the update of the particle swarm is expressed as

[0033] v i = w·v i + c1·r1·(p best,i - x i ) + c2·r2·(g best - x i )

[0034] x i = x i + v i

[0035] wherein, w is the inertia weight, c1 and c2 are learning factors, r1 and r2 are random numbers, v i is the particle speed, xi Particle position, p best Individual historical optimal position, g best Group historical optimal position, where i refers to the i-th particle.

[0036] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for optimizing the load configuration of the auxiliary power system under the leading power factor condition of the generator set are implemented.

[0037] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for optimizing the load configuration of the auxiliary power system under the leading power factor condition of the generator set are implemented.

[0038] Advantages of the present invention: The method for optimizing the load configuration of the auxiliary power system under the leading power factor condition of the generator set provided by the present invention comprehensively considers the characteristics of the auxiliary power load, voltage stability, and the constraint conditions of the generator's leading power factor operation, overcomes the deficiency of only focusing on local optimization in the prior art, and realizes the overall optimization configuration of the auxiliary power system. By establishing an accurate relationship model between the auxiliary bus voltage and the terminal voltage of the generator, and optimizing the distribution of the auxiliary power load, the present invention can effectively solve the problem of the reduction of the auxiliary power voltage under the full load condition in the prior art, thereby significantly increasing the leading power factor depth of the generator set and enhancing the reactive power regulation ability of the system. In the optimization process, the present invention strictly considers the safe operation constraints of the terminal voltage and the auxiliary bus voltage to ensure that during the leading power factor operation, the voltage level of the auxiliary power system is always within the safe range, avoiding equipment failures and system stability problems caused by too low voltage, and improving the safety of power plant operation. Description of the Drawings

[0039] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0040] Figure 1 It is the overall flowchart of the method for optimizing the load configuration of the auxiliary power system under the leading power factor condition of the generator set provided by an embodiment of the present invention.

[0041] Figure 2 It is the equivalent circuit diagram of the induction asynchronous motor of the method for optimizing the load configuration of the auxiliary power system under the leading power factor condition of the generator set provided by an embodiment of the present invention.

[0042] Figure 3The block diagram of the generator set and the auxiliary system load structure under the leading power factor operating condition of the generator set provided by an embodiment of the present invention.

[0043] Figure 4 The algorithm solving flowchart of the auxiliary system load optimal allocation method under the leading power factor operating condition of the generator set provided by an embodiment of the present invention. Specific embodiments

[0044] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0045] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0046] Embodiment 1

[0047] Refer to Figures 1 - 4 , which is an embodiment of the present invention, and provides an auxiliary system load optimal allocation method under the leading power factor operating condition of the generator set, including:

[0048] Step 1. Refer to Figure 2 to perform auxiliary system load modeling. The auxiliary systems in the power plant auxiliary system are mainly induction asynchronous motors. The equivalent circuit of the induction asynchronous motor is as Figure 1 . Under the condition of small voltage disturbance, it is considered that the slip ratio s = const. To analyze the static voltage stability of the auxiliary bus, a static model of the induction asynchronous motor with constant impedance is established as follows:

[0049]

[0050] s α = R r / X l

[0051] X l = X r + X s

[0052] where the subscript p represents the bus segments such as 6kV, 10kV, 400V, etc. involved in the auxiliary system, and U p is the voltage of the auxiliary bus segment. Hereinafter, Ups represents the medium - voltage side voltage levels of common auxiliary power systems such as 6 kV and 10 kV, denoted by U pc represents the low - voltage side voltage levels of common auxiliary power systems such as 400 V; P p and Q p are respectively the active power and reactive power of the load on the auxiliary power busbar; X r is the rotor equivalent reactance, X s is the stator equivalent reactance, X l is the sum of the two; X μ is the equivalent leakage reactance; R r is the rotor resistance, s is the slip ratio, s α is the impedance ratio.

[0053] Step 2: Establish the constraint of the relationship between the auxiliary power busbar voltage and the generator terminal voltage. The auxiliary power busbar voltage U p of the power plant comes from the generator terminal. During the leading - power - factor operation of the generator set, the decrease in the generator terminal voltage will cause the decrease of the auxiliary power busbar voltage, and the auxiliary power busbar voltage generally has a lower - voltage limit constraint. On the premise of not considering the losses of the high - voltage auxiliary transformer, the relationship between the auxiliary power busbar voltage and the generator terminal voltage can be expressed as:

[0054]

[0055] where, U g is the generator terminal voltage, X c is the short - circuit impedance of the high - voltage auxiliary transformer, X T is the short - circuit impedance of the dry - type transformer in the auxiliary power system, U ps is the medium - voltage side busbar voltage such as 6 kV and 10 kV involved in the auxiliary power system of the power plant, U pc is the low - voltage side busbar voltage such as 400 V involved in the auxiliary power system of the power plant, P ps and Q ps are respectively the active power and reactive power of the load on the medium - voltage section of the auxiliary power busbar, P pc and Q pc are respectively the active power and reactive power of the load on the low - voltage section of the auxiliary power busbar. The ps section is generally set to 2, and the number of the pc section is uncertain, denoted by m, and m determines the number of variables in the pc section.

[0056] Step 3: Establish the relationship between the generator terminal voltage and the leading - power - factor reactive power of the generator. During the leading - power - factor operation, the generator terminal voltage decreases with the increase of the absorbed reactive power. The leading - power - factor operation generally has a lower - voltage limit constraint for the generator terminal voltage. On the premise of not considering the losses of the main transformer, the relationship between the generator terminal voltage and the leading - power - factor reactive power of the generator can be expressed as:

[0057]

[0058] where, Q sReactive power for the generator set in leading power factor operation, P s Active power for the generator set in leading power factor operation, U s System-side voltage, X z Short-circuit impedance of the main transformer.

[0059] Step 4, inequality constraint conditions. There are the following safety operation constraints for the terminal voltage and the bus voltage of the auxiliary power system:

[0060] 0.95U gn ≤U g ≤1.05U gn

[0061] 0.95U psn <U ps <1.05U psn

[0062] 0.93U pcn <U pc <1.07U pcn

[0063] Among them, U gn 、U psn 、U pcn are the rated terminal voltage, the rated medium-voltage bus voltage of the auxiliary power system, and the rated low-voltage bus voltage of the auxiliary power system, respectively.

[0064] Step 5, objective function. The objective of the optimized allocation of the auxiliary power load involved in the present invention is to maximize the reactive power of the generator set in leading power factor operation on the premise of ensuring the safe operation of the system.

[0065] f = max|Q s |

[0066] For the above model, an advanced optimization algorithm is used to solve the established model to obtain the optimal load allocation scheme for the auxiliary power system.

[0067] In an alternative embodiment, referring to Figure 4 , the particle swarm optimization algorithm (PSO) is used to solve the problem of optimized allocation of the auxiliary power system load under the leading power factor condition of the generator set.

[0068] First, initialize: randomly generate a particle swarm, and each particle represents a potential load allocation scheme, including the auxiliary power load and the leading reactive power Q s . At the same time, initialize the velocity and position of each particle, and calculate the initial fitness value, that is, the objective function value.

[0069] According to the objective function f = max|Q s |, calculate the fitness value of each particle and evaluate its pros and cons.

[0070] Update the individual and global optima: Each particle updates its position and velocity based on its own historical optimal position (individual optimum) and the group's optimal position (global optimum). The individual optimum position is the position with the best fitness in the particle's history, and the global optimum position is the position with the best fitness in the entire group.

[0071] Iterative optimization: Iteratively update the particle swarm according to the velocity and position update formulas, which are:

[0072] v i = w·v i + c1·r1·(p best,i - x i ) + c2·r2·(g best - x i )

[0073] x i = x i + v i

[0074] where w is the inertia weight, c1 and c2 are learning factors, r1 and r2 are random numbers, v i is the particle velocity, x i is the particle position, p best is the individual historical optimal position, g best is the group historical optimal position, and i refers to the i-th particle.

[0075] Check the constraint conditions: In each iteration, check whether each particle satisfies all the constraint conditions (such as voltage range and stability requirements). If not, adjust the particle position or recalculate the fitness value.

[0076] Termination condition: When the preset maximum number of iterations is reached or the global optimal fitness value converges, stop the iteration.

[0077] Output the optimal solution: Output the global optimal position g best , which is the optimal auxiliary power load allocation scheme, and the corresponding reactive power Q s .

[0078] Through the above process, the PSO algorithm can effectively search for the optimal load allocation, maximize the leading reactive power, and ensure the safe operation of the system.

[0079] Furthermore, in an optional embodiment, the parameters of the induction asynchronous motors in the auxiliary system of the power plant are equivalent. After obtaining the rotor equivalent reactance X r of all induction asynchronous motors, the stator equivalent reactance X s , the equivalent leakage reactance X μ , and the rotor resistance R r, perform parameter classification, aggregation, weighting, and superposition to obtain the equivalent value of the auxiliary power system load parameters.

[0080] Referring to Figure 3 the implementation environment of , the effectiveness of the above technical solution is verified below through a specific example. Taking a 480MW-class gas turbine generator unit as an example, the nameplate parameters of its main transformer, high-voltage auxiliary transformer, and typical dry-type transformer are shown in Table 1, and the historical leading power factor operating conditions of this unit are shown in Table 2. Optimize the loads on the medium-voltage side and low-voltage side of the auxiliary power system of this plant according to the technical solution described in the present invention, and then calculate the maximum leading power factor result within the voltage safety region.

[0081] Table 1 Transformer Parameters

[0082]

[0083] Table 2 Historical Leading Power Factor Operating Conditions

[0084]

[0085] Take the active power of the historical leading power factor operating conditions in Table 2 as the given value input of the method of the present invention, and use the particle swarm optimization algorithm to calculate. Under Condition 1, when the terminal voltage and the bus voltage of the auxiliary power system are within the safety region, the load distribution result of the medium-voltage side of the auxiliary power system is (20.0 + j18.6) MVA, and the load distribution results of the low-voltage side of the auxiliary power system are (489.0 + j479.3) (477.1 + j479.3) (479.2 + j455.3) kVA respectively. The dry-type transformer of the auxiliary power system m = 3, and the increment of leading reactive power obtained is 2%.

[0086] In summary, by implementing the above method of the present invention, the optimal leading power factor result within the safety region can be directly given, which can directly guide the load configuration of the auxiliary power system of the power plant.

[0087] In conclusion, in terms of the optimal load configuration of the auxiliary power system under the leading power factor operating conditions of the generator unit, the present invention has significant innovation and practicability compared with the prior art, and can effectively improve the operation efficiency and safety of the power plant.

[0088] Embodiment 2

[0089] An embodiment of the present invention, which is different from the previous embodiment in that:

[0090] If the above-mentioned functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0091] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a predefined sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device.

[0092] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, a computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0093] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following techniques known in the art or a combination thereof can be used: discrete logic circuits having logic gate circuits for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0094] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for optimizing the load configuration of a power plant system under the phase leading condition of a generator set, characterized in that: include: According to the equivalent circuit of the induction asynchronous motor and considering the motor load characteristics on the power system bus section, the power system load model is established to determine the relationship between the power load and the power bus voltage; Establish the relationship between the plant bus voltage and the generator terminal voltage, and consider the impact of the change of the generator terminal voltage on the plant bus voltage under the unit phase leading condition; Establish the relationship between the plant bus voltage and the generator phase leading reactive power, and consider the impact of the generator phase leading reactive power on the plant bus voltage under the unit phase leading condition; Set lower and upper limits for safe operation of the generator terminal voltage and the plant system bus voltage; The objective function is constructed with maximizing the leading phase reactive power as the optimization goal; The particle swarm optimization algorithm is used to solve the model, initialize the particle swarm and perform iterative optimization. By updating the speed and position of the particles, the optimal configuration plan of the plant load is obtained.

2. The method for optimizing the configuration of the plant system load under the phase leading condition of the generator set according to claim 1, characterized in that: The plant system load model is expressed as: s α =R r / X l X l =X r +X s Among them, P p and Q p are the active power and reactive power of the load of the auxiliary bus section, U p is the factory busbar voltage, X r is the rotor equivalent reactance, X s is the stator equivalent reactance, X l is the sum of the rotor equivalent reactance and the stator equivalent reactance, s is the slip rate, s α is the impedance ratio, X μ is the equivalent leakage reactance, R r is the rotor resistance.

3. The method for optimizing the configuration of the plant system load under the phase leading condition of the generator set according to claim 2, characterized in that: The relationship between the plant bus voltage and the generator terminal voltage is expressed as: Among them, U ps is the medium voltage bus voltage involved in the power plant system, U g is the generator terminal voltage, P ps and Q ps are the active power and reactive power of the load of the medium voltage section of the power plant bus, X c is the short-circuit impedance of the high-voltage transformer, P pc and Q pc are the active power and reactive power of the load of the low-voltage section of the power plant bus, X T It is the short-circuit impedance of the dry-type transformer in the factory system.

4. The method for optimizing the configuration of the plant system load under the phase leading condition of the generator set according to claim 3, characterized in that: The relationship between the plant bus voltage and the generator leading phase reactive power is expressed as: Among them, Q s is the reactive power of the generator set in leading phase operation, P s is the active power of the generator set in leading phase operation, U s is the system side voltage, X z The short-circuit impedance of the main transformer.

5. The method for optimizing the configuration of the plant system load under the phase leading condition of the generator set according to claim 4, characterized in that: The lower and upper limits of the safe operation of the terminal voltage and the power plant system bus voltage are expressed as: 0.95U gn ≤U g ≤1.05U gn 0.95U psn <U ps <1.05U psn 0.93U pcn <U pc <1.07U pcn Among them, U gn , U psn , U pcn They are respectively the rated voltage of the machine end, the rated voltage of the plant medium voltage bus, and the rated voltage of the plant low voltage bus.

6. The method for optimizing the configuration of the plant system load under the phase leading condition of the generator set according to claim 5, characterized in that: The objective function is expressed as, f=max|Q s | Among them, Q s Indicates reactive power.

7. The method for optimizing the configuration of the plant system load under the phase leading condition of the generator set according to claim 6, characterized in that: The method for obtaining the optimal configuration scheme of the plant load includes randomly generating a particle group, each particle represents a possible configuration scheme of the plant load, and its position represents the value of each decision variable, and the decision variables include the P of the plant bus segment. p , Q p , U p And the generator reactive power Q s and terminal voltage U g ;Speed ​​represents the rate of change of position; Each particle updates its position and speed according to its own historical optimal position and the group's optimal position. The individual optimal position is the particle's best fitness position in history, and the global optimal position is the position with the best fitness in the entire group. Iteratively update the particle swarm according to the speed and position update formula; Through multiple iterations, the particle swarm gradually converges to the global optimal solution; After each iteration, the individual optimal and global optimal positions are updated and the constraints are checked to see if they are satisfied; After several iterations, the algorithm converges and obtains the optimal plant load optimization configuration plan, including the active power, reactive power, voltage of each plant bus section, as well as the generator reactive power and terminal voltage, thereby maximizing the system generator leading reactive power.

8. The method for optimizing the configuration of the plant system load under the phase leading condition of the generator set according to claim 7, characterized in that: The updated particle swarm is expressed as, v i =w·v i +c1·r1·(p best,i -x i )+c2·r2·(g best -x i ) x i =x i +v i Among them, w is the inertia weight, c1 and c2 are learning factors, r1 and r2 are random numbers, and v i Particle velocity, x i Particle position, p best Individual historical optimal position, g best The historical optimal position of the group, i refers to the i-th particle.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for optimizing the load configuration of a plant system under a generator set leading phase condition according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for optimizing plant system load configuration under a generator set leading phase condition according to any one of claims 1 to 8 are implemented.

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