Method for optimizing short-term dispatching of underwater wind-solar integrated base in sudden water pollution accident

Abstract

The invention provides a short-term scheduling optimization method for a water-wind-light integrated base in a sudden water pollution accident. The method comprises the following steps: S1, constructing a water-wind-light integrated base day-ahead scheduling model and a water-wind-light integrated base emergency scheduling model; s2, initializing step hydropower station output and DBO algorithm parameters; s3, calculating an objective function; s4, outputting a Pareto solution set; s5, selecting a day-ahead scheduling plan by adopting an entropy weight method; s6, acquiring accident occurrence information; s7, initializing step hydropower station output and DBO algorithm parameters in the remaining time period; s8, calculating a target function; s9, outputting a Pareto solution set; s10, selecting an emergency scheduling plan by adopting an entropy weight method; by establishing an efficient day-ahead scheduling and emergency scheduling model, the dual goals of large-scale consumption of new energy and flexible exertion of water and electricity are realized, and meanwhile, when a sudden water pollution accident occurs, a response can be quickly made, and the influence of the accident on water quality and power grid operation is minimized.

Description

Technical Field

[0001] The invention relates to a dispatch optimization method, in particular to a short-term dispatch optimization method for a wind-solar integrated base in case of sudden water pollution accidents, and belongs to the technical field of power grid optimization operation strategies. Background Art

[0002] With the transformation of the global energy structure and the rapid development of clean energy technology, the integrated water, wind and solar base, as a new energy supply model, has become an important means to promote the consumption of new energy and enhance the flexibility of the power grid. The integrated water, wind and solar base integrates the output of hydropower stations, wind power stations and photovoltaic power stations, and uses the regulation capacity of hydropower stations to regulate the intermittent and volatile wind and photovoltaic power generation, thereby providing stable and reliable power output. However, this integrated base faces multiple challenges in actual operation. In particular, when sudden water pollution accidents occur, how to quickly and effectively adjust the dispatch plan to ensure water quality safety and power grid stability has become an urgent problem to be solved; Traditional dispatching methods for integrated water, wind and solar power bases mainly focus on the economy and stability of the power system, and often ignore environmental factors, especially the potential impact of water pollution accidents on the operation of hydropower stations. Water pollution accidents may force hydropower stations to reduce or stop power generation, seriously affecting the power output of the integrated base and the dispatching plan of the power grid. In addition, the existing emergency dispatching strategies lack special response measures for sudden water pollution accidents and cannot respond effectively in a short period of time, resulting in the expansion of the spread of pollutants and posing a greater threat to the environment and human health. With the continuous growth of installed capacity of new energy, the optimal dispatching of integrated water, wind and solar power bases has become more complicated. The uncertainty and volatility of new energy require the dispatching system to have higher flexibility and adaptability. At the same time, as society's awareness of environmental protection increases, how to effectively respond to environmental emergencies while ensuring power supply has become an important indicator for measuring the performance of integrated base dispatching systems. Therefore, in view of the shortcomings of the prior art, the present invention proposes a short-term scheduling optimization method for a wind and solar integrated base in case of sudden water pollution accidents. Summary of the invention

[0003] In view of this, the present invention provides a short-term scheduling optimization method for a wind and solar integrated base in the event of a sudden water pollution accident, aiming to achieve the dual goals of large-scale consumption of new energy and flexibility of hydropower by establishing an efficient day-ahead scheduling and emergency scheduling model, while ensuring that a rapid response can be made when a sudden water pollution accident occurs, minimizing the impact of the accident on water quality and power grid operation, and at least providing a beneficial option.

[0004] The technical solution of the present invention is implemented as follows: a short-term dispatch optimization method for a wind-solar integrated base in case of a sudden water pollution accident comprises the following steps: S1. Construct a day-ahead dispatching model for a comprehensive water, wind and solar power base and an emergency dispatching model for a comprehensive water, wind and solar power base; S2, initializing the output of the cascade hydropower station (decision variables) and DBO algorithm parameters; S3, determine the type of particle, update the position according to the corresponding update rule, and calculate the objective function; S4. After all particles are updated, an iteration is completed. After the iteration is completed, the Pareto solution set is output; S5. Use the entropy weight method to select the day-ahead scheduling plan; S6. If a water pollution accident occurs, obtain information about the accident; S7, initializing the output of the cascade hydropower station (decision variables) and DBO algorithm parameters in the remaining period; S8, determine the type of particle, update the position according to the corresponding update rule, and calculate the objective function; S9, after all particles are updated, an iteration is completed, and after the iteration is completed, the Pareto solution set is output; S10. Use the entropy weight method to select the emergency dispatch plan.

[0005] Further preferably, in S1, the day-ahead scheduling model of the integrated water, wind and solar base realizes refined management of power generation plans of hydropower stations, wind power stations and photovoltaic power stations by integrating real-time data analysis, advanced prediction models and multi-objective optimization algorithms.

[0006] Further preferably, in S1, the day-ahead scheduling model of the integrated water, wind and solar base aims to maximize the average daily power generation of the integrated base and minimize the residual load fluctuation of the receiving power grid, while strictly complying with multiple constraints such as transmission capacity, water balance, reservoir characteristics, water level and output, and selecting the optimal scheduling plan by adopting advanced optimization techniques such as DBO algorithm combined with entropy weight method.

[0007] Further preferably, in S1, the emergency dispatch model of the integrated water, wind and solar base has designed an efficient and rapid response mechanism for sudden water pollution accidents. The model collects accident-related information through real-time monitoring and data analysis, including key data such as the exact location of the pollution source, type and concentration of pollutants, and diffusion rate, and evaluates the potential impact of the accident on the power generation plan and grid operation in combination with the current day-ahead dispatch plan.

[0008] Further preferably, in S1, the emergency dispatch model of the integrated water, wind and solar base takes minimizing the time for pollutants to arrive at the emergency treatment section as the primary goal in setting the objective function, while pursuing the maximum accumulated value of pollutant concentration so that the emergency treatment facilities can efficiently treat pollutants. The power generation plan deviation is used as the main constraint to ensure that the deviation between the emergency dispatch plan and the day-ahead dispatch plan is controlled within an acceptable range for the power grid to avoid excessive impact on the stability of the power grid.

[0009] Further preferably, in S1, the emergency dispatch model of the integrated water, wind and solar base adopts optimization techniques such as the DBO algorithm to quickly formulate an emergency dispatch plan that can effectively respond to water pollution accidents and maintain the stability of the power grid. The model guides the integrated water, wind and solar base to adjust the power generation tasks of each power generation unit to ensure that in an emergency, pollutants can be quickly treated and the power supply stability of the power grid can be maintained. In the process of executing the dispatch plan, the pollutant treatment efficiency is taken into account and coordinated with the power grid dispatch center to jointly coordinate resource allocation to ensure the stable operation of the power grid in emergency situations.

[0010] Further preferably, in S4, the day-ahead dispatching operation process of the water, wind and solar integrated base is as follows: (1) The hydropower station predicts the runoff of the next day, and the wind power station and photovoltaic power station predict the output of the next day, and report the results to the control center of the integrated base; (2) The dispatching center of the receiving power grid provides the next day's load forecast value to the control center of the integrated base; (3) The integrated base control center combines the information from the power supply side and the load side to formulate a power generation plan and submits it to the dispatch center 4-6 hours before the next day; (4) The dispatch center conducts safety verification on the power generation plan and determines the power generation plan for the next day.

[0011] Further preferably, in S9, the emergency dispatch process of the water, wind and solar integrated base is as follows: (1) The Emergency Response Office reports water pollution accident information to the Integrated Base Control Center; (2) The integrated base control center formulates an emergency dispatch plan based on water pollution accident information and the day-ahead dispatch plan; (3) The integrated base control center adjusts the power generation tasks of each power generation entity in the water, wind and solar integrated base; (4) If there is a deviation between the emergency dispatch plan and the day-ahead dispatch plan, the integrated base control center will report the deviation information to the dispatch center, which will then coordinate resources.

[0012] The embodiment of the present invention has the following advantages due to the adoption of the above technical solution: 1. The present invention can quickly respond and formulate effective emergency dispatch strategies by establishing a special emergency dispatch model, significantly improving the response capability and processing efficiency of the comprehensive base in the face of sudden environmental events. The advanced optimization technologies such as the DBO algorithm adopted enable the dispatch model to provide a more flexible and adaptable dispatch plan when facing complex and changeable power demand and environmental conditions. It comprehensively considers the complementary characteristics of hydropower stations, wind power stations and photovoltaic power stations, and can more reasonably allocate and utilize various energy resources, thereby improving the overall utilization efficiency of energy. In emergency dispatch, the model can also adjust the power generation task according to the actual situation to ensure the optimal allocation and use of resources; 2. Compared with the traditional model, the proposed model comprehensively considers the dual goals of electricity and environment. It not only pursues the maximization of the average daily power generation power of the integrated base and the minimization of the residual load fluctuation of the receiving power grid, but also specially considers the emergency dispatch of sudden water pollution accidents, with the shortest arrival time of pollutants and the maximum concentration accumulation value as the goal, realizing the dual optimization of power dispatch and environmental protection.

[0013] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 is a flow chart of the method of the present invention; Figure 2 This is a short-term dispatching flow chart of a water, wind and solar integrated base considering sudden water pollution accidents in the present invention; Figure 3 This is a flow chart of emergency dispatch of a water, wind and light integrated base considering sudden water pollution accidents in the present invention; Figure 4 The present invention provides a connection indication diagram for short-term dispatch and emergency dispatch of a water, wind and light integrated base in consideration of sudden water pollution accidents. DETAILED DESCRIPTION

[0016] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0017] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0018] like Figure 1 and Figure 2 As shown, the embodiment of the present invention provides a method for optimizing short-term scheduling of a wind-solar integrated base for sudden water pollution accidents, including the following steps: S1. Construct a day-ahead dispatching model for a comprehensive water, wind and solar power base and an emergency dispatching model for a comprehensive water, wind and solar power base; S2, initializing the output of the cascade hydropower station (decision variables) and DBO algorithm parameters; S3, determine the type of particle, update the position according to the corresponding update rule, and calculate the objective function; S4. After all particles are updated, an iteration is completed. After the iteration is completed, the Pareto solution set is output; S5. Use the entropy weight method to select the day-ahead scheduling plan; S6. If a water pollution accident occurs, obtain information about the accident; S7, initializing the output of the cascade hydropower station (decision variables) and DBO algorithm parameters in the remaining period; S8, determine the type of particle, update the position according to the corresponding update rule, and calculate the objective function; S9, after all particles are updated, an iteration is completed, and after the iteration is completed, the Pareto solution set is output; S10. Use the entropy weight method to select the emergency dispatch plan.

[0019] In one embodiment, the day-ahead dispatch model of the integrated water, wind and photovoltaic base realizes the refined management of the power generation plans of hydropower stations, wind power stations and photovoltaic power stations by integrating real-time data analysis, advanced prediction models and multi-objective optimization algorithms. The model aims to maximize the average daily power generation of the integrated base and minimize the residual load fluctuation of the receiving power grid, while strictly complying with multiple constraints such as transmission capacity, water balance, reservoir characteristics, water level and output. By adopting advanced optimization technologies such as DBO algorithm and combining the entropy weight method to select the best dispatching plan, the model ensures the efficiency, safety and environmental friendliness of the dispatching plan. The application of this model not only significantly improves the absorption capacity of new energy, but also effectively enhances the stability of the power grid, and provides strong technical support for the efficient dispatching of the integrated water, wind and photovoltaic base in daily operation and emergencies.

[0020] In one embodiment, a water, wind and solar integrated base emergency dispatch model is designed to design an efficient and rapid response mechanism for sudden water pollution accidents. The model collects accident-related information, including the exact location of the pollution source, the type and concentration of pollutants, diffusion speed and other key data through real-time monitoring and data analysis. Combined with the current day-ahead dispatch plan, the model evaluates the potential impact of the accident on the power generation plan and the operation of the power grid. In terms of objective function setting, the primary goal is to minimize the time for pollutants to arrive at the emergency treatment section, while pursuing the maximum cumulative value of pollutant concentration, so that the emergency treatment facilities can efficiently treat pollutants. The power generation plan deviation is used as the main constraint to ensure that the deviation between the emergency dispatch plan and the day-ahead dispatch plan is controlled within the acceptable range of the power grid to avoid excessive impact on the stability of the power grid. The model uses optimization technologies such as the DBO algorithm to quickly formulate an emergency dispatch plan that can effectively respond to water pollution accidents and maintain the stability of the power grid. The model guides the water, wind and solar integrated base to adjust the power generation tasks of each power generation unit to ensure that in an emergency, both pollutants can be quickly treated and the power supply stability of the power grid can be maintained. In the execution of the dispatch plan, the pollutant treatment efficiency and the coordination and communication of the power grid dispatch center are taken into account, and resource allocation is jointly coordinated to ensure the stable operation of the power grid in an emergency.

[0021] In one embodiment, once a sudden water pollution accident occurs, if appropriate emergency measures are not taken in time, it is very likely to cause catastrophic consequences, and emergency measures are the key to ensuring water quality safety. The formulation of emergency measures requires the exploration of the law of pollutant diffusion. This paper uses the transport-diffusion equation to describe the law of pollutant diffusion: (1) Where: is the cross-sectional area of ​​water flow; For a section The concentration of the moment; For flow; Diffusion coefficient; is the pollutant concentration of the source or sink term; is the source or sink per unit length of the grid; for distance; For time.

[0022] The analytical solution of the transport-diffusion equation is: (2) Where: is the initial non-point source intensity of pollution entering the water body; is the downstream distance from the pollution source; is the longitudinal diffusion coefficient; is the average flow velocity of the cross section; Assuming that soluble and difficult-to-degrade pollutants suddenly leaked at a section upstream of the river, without considering the adsorption and degradation of pollutants, the pollutant concentration detection values ​​of the emergency treatment section of the downstream river section under different downstream flow rates are as follows: downstream flow rate I: constant flow rate Q; downstream flow rate II: before the arrival of pollutants, constant flow rate Q, after the pollutants arrive at the emergency treatment section; constant flow rate 0.5*Q, downstream flow rate III: constant flow rate 0.5*Q. Before the arrival of pollutants, the increase in downstream flow rate is conducive to the arrival of pollutants at the emergency treatment section in advance, and the peak value of pollutant concentration is higher. When pollutants arrive, reducing the downstream flow rate is conducive to prolonging the residence time of pollutants in the emergency treatment section. The peak value of pollutant concentration is inversely correlated with the residence time. In order to take both into account, the two are combined by the integral of pollutant concentration over time, that is, the concentration accumulation value. The larger the concentration accumulation value, the higher the treatment efficiency of the emergency treatment section.

[0023] In one embodiment, the day-ahead dispatching operation process of the water, wind and solar integrated base is as follows: (1) The hydropower station predicts the runoff of the next day, and the wind power station and photovoltaic power station predict the output of the next day, and report the results to the control center of the integrated base; (2) The dispatching center of the receiving power grid provides the next day's load forecast value to the control center of the integrated base; (3) The integrated base control center combines the information from the power supply side and the load side to formulate a power generation plan and submits it to the dispatch center 4-6 hours before the next day; (4) The dispatch center conducts safety verification on the power generation plan and determines the power generation plan for the next day.

[0024] In one embodiment, the emergency dispatch process of the water, wind and solar integrated base is as follows: (1) The Emergency Response Office reports water pollution accident information to the Integrated Base Control Center; (2) The integrated base control center formulates an emergency dispatch plan based on water pollution accident information and the day-ahead dispatch plan; (3) The integrated base control center adjusts the power generation tasks of each power generation entity in the water, wind and solar integrated base; (4) If there is a deviation between the emergency dispatch plan and the day-ahead dispatch plan, the integrated base control center will report the deviation information to the dispatch center, which will then coordinate resources.

[0025] In one embodiment, for a hydropower-wind-solar integrated base that undertakes UHV DC transmission tasks, the total transmission capacity and peak load regulation performance of the system are important indicators for evaluating the complementary operation efficiency; in order to promote large-scale consumption of new energy and give full play to the flexibility of hydropower, the optimization criterion is set to give priority to the consumption of new energy; therefore, a day-ahead scheduling model is established with the goal of maximizing the average daily transmission power of the integrated base and minimizing the standard deviation of the residual load of the receiving power grid; 1. Objective Function Goal 1: Maximum average daily power generation at the integrated base (3) Where: is the scheduling period; The day-ahead power generation plan is formulated in Output value of the time period; Hydropower, wind power, and photovoltaic power Output value of the time period; Objective 2: Minimize the residual load fluctuation of the receiving power grid (4) Where: They are The grid load during the period and the residual load of the receiving grid; is the average value of the residual load of the receiving power grid; 2. Constraints ①Transmission capacity limitation During the operation of the transmission line, its transmission capacity must be within a certain range; (5) Where: is the maximum transmission capacity of the transmission channel; ② Water balance constraints The update of the reservoir capacity depends on the upstream water and the downstream flow. The upstream water consists of two parts: one is the downstream flow of the upper reservoir, and the other is the interval between reservoirs, such as rainfall and evaporation. (6) Where: Number the cascade reservoirs, a total of M; and They are Reservoir Storage capacity at the beginning and end of the time period; and They are Reservoir Inflow and outflow during the period; for Reservoir and Water inflow between reservoirs; ③Reservoir characteristic constraints (7) Where: They are Reservoir The water level before and after the dam during the period; Respectively The relationship between the water level and storage capacity of the reservoir and the relationship between the discharge flow and the tailwater level; ④Water level constraint (8) Where: They are Reservoir The lower limit of the reservoir water level, the reservoir water level, and the upper limit of the reservoir water level in the time period; ⑤Hydropower station output constraints The output of a hydropower station depends on the power generation flow and the power generation head. The power generation head is related to the water level in front of and behind the dam. The start and end time of the water level in front of the dam are different, so the average value is taken for calculation. (9) Where: They are Reservoir The output lower limit, output, and output upper limit of the time period; for Output coefficient of hydropower station; for Reservoir The power generation quotation flow in the time period; for Reservoir The water head of the period; and They are Reservoir Average water level during the period and water level behind the dam; ⑥ Downstream flow restriction (10) Where: They are Reservoir The lower limit of the downstream flow, the downstream flow, and the upper limit of the downstream flow in the time period.

[0026] In one embodiment, once an unexpected water pollution accident occurs, emergency treatment measures need to be taken to ensure water quality safety, that is, to adjust the water release plan of the upstream reservoir so that the pollutants arrive at the emergency treatment section as early as possible, the retention time in the emergency treatment section is as long as possible, and the concentration peak is as large as possible, so as to treat more pollutants as soon as possible; at the same time, the tasks of each power generation entity should be adjusted to minimize the deviation from the total power generation plan on the day before. According to the law of pollutant diffusion, the cumulative value of pollutant concentration is an indicator that combines concentration and time. The larger the cumulative value of concentration, the higher the treatment efficiency of the emergency treatment section. Therefore, with the shortest arrival time of pollutants and the maximum cumulative value of concentration as the goal, the power generation plan deviation is used as a constraint condition to establish an emergency dispatch model for a water, wind and solar integrated base; 1. Objective Function Goal 1: Shortest arrival time for pollutants (11) Where: Time of occurrence of pollutants The time when pollutants are detected in the emergency treatment section; Goal 2: Maximum cumulative pollutant concentration (12) Where: They are the starting time and the start time of pollutant detection in the emergency treatment section, respectively; is the pollutant concentration; is the initial non-point source intensity of pollution entering the water body; The distance between the emergency treatment section and the pollution source; is the longitudinal diffusion coefficient; is the empirical coefficient; for the depth of the river; is the friction flow velocity; is the average flow velocity of the cross section; is the average downstream flow; is the river width; 2. Constraints Generation plan deviation constraints: (13) Where: Correct the output of hydropower for emergency dispatch; For emergency dispatch Reservoir Output during the time period; is the maximum deviation of the power generation plan (the deviation between the emergency dispatch plan and the day-ahead dispatch plan); The remaining constraints are the same as the day-ahead dispatch model of the water, wind and solar integrated base.

[0027] In one embodiment, an intelligent optimization algorithm is used to solve the model. The Dung Beetle Optimization (DBO) algorithm is a swarm intelligent optimization algorithm, which is inspired by the biological behavior process of dung beetles and has the characteristics of strong optimization ability and fast convergence speed. The algorithm simulates the behaviors of dung beetles such as rolling balls, dancing, foraging, stealing and reproduction by designing particles; 1. Rolling dung beetle ①Accessibility mode Dung beetles can use celestial clues (especially the sun, moon, and polarized light) to navigate during the rolling process, making the dung ball roll in a straight line. Sunlight and other factors will affect the trajectory, making it curved or elliptical. Natural factors (such as wind and uneven ground) can cause dung beetles to deviate from their original direction. In order to simulate the rolling behavior, dung beetles are required to move in a given direction throughout the search space, assuming that only the intensity of the light source affects the path of the dung beetle. (14) Where: is the number of iterations; For the The first iteration The location information of dung beetles; The natural coefficient takes 1 or -1, where -1 means deviation from the original direction and 1 means no deviation; is a constant, indicating the deflection coefficient; is the influence coefficient of light intensity change on position; To simulate the change of light intensity; is the global worst position; ②There are obstacles When the dung beetle encounters an obstacle and cannot move forward, it needs to reposition itself by dancing in order to obtain a new route. In order to simulate dancing behavior, the tangent function is used to obtain a new rolling direction. (15) Where: is the deflection angle, when The position of the dung beetle is not updated; 2. Egg ball dung beetle In nature, dung balls are rolled by dung beetles to a safe place for hiding. In order to provide a safe environment for their offspring, it is crucial for dung beetles to choose a suitable oviposition site. The regional boundary selection strategy for dung beetles to lay eggs is simulated as follows: (16) Where: and They are the lower and upper boundaries of the spawning area respectively; and are the lower and upper bounds of the optimization problem respectively; is the current local optimal position; is the maximum number of iterations; Once the egg-laying area is determined, the female dung beetle will choose the egg ball in this area to lay eggs. Each female dung beetle only lays one egg in each iteration. The boundary range of the egg-laying area changes dynamically, and the position of the egg ball is also dynamic during the iteration process, which can be expressed as: (17) Where: For the The first iteration The location information of each egg; and Indicates size Two independent random vectors of represents the dimension of the optimization problem. The position of the ovule is strictly restricted to a certain range; 3. Small dung beetles foraging Some dung beetles that have grown into adults will come out from the ground to forage for food. They are called small dung beetles. It is also necessary to establish an optimal dung beetle area to guide the dung beetles to forage for food. The boundaries of the optimal dung beetle area are defined as follows: (18) Where: and are the lower and upper bounds of the optimal feeding area respectively; and are the lower and upper bounds of the optimization problem respectively; is the current global best feeding position; is the maximum number of iterations; (19) Where: For the The first iteration The location information of the small dung beetle; is a random number that follows a normal distribution; For A random vector of 4. Stealing for food There are also some dung beetles called thieving dung beetles that steal dung balls from other dung beetles. This is a very common phenomenon in nature. The location update information of thieving dung beetles is defined as follows: (20) Where: For the The first iteration Only steal the location information of dung beetles; The size is A random vector of , which follows a normal distribution; is a constant value.

[0028] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A short-term dispatch optimization method for a wind and solar integrated base in case of sudden water pollution accidents, characterized in that: The following steps are involved: S1. Construct a day-ahead dispatching model for a comprehensive water, wind and solar power base and an emergency dispatching model for a comprehensive water, wind and solar power base; S2, initializing the output of the cascade hydropower station (decision variables) and DBO algorithm parameters; S3, determine the type of particle, update the position according to the corresponding update rule, and calculate the objective function; S4. After all particles are updated, an iteration is completed. After the iteration is completed, the Pareto solution set is output; S5. Use the entropy weight method to select the day-ahead scheduling plan; S6. If a water pollution accident occurs, obtain information about the accident; S7, initializing the output of the cascade hydropower station (decision variables) and DBO algorithm parameters in the remaining period; S8, determine the type of particle, update the position according to the corresponding update rule, and calculate the objective function; S9, after all particles are updated, an iteration is completed, and after the iteration is completed, the Pareto solution set is output; S10. Use the entropy weight method to select the emergency dispatch plan.

2. The short-term scheduling optimization method for the integrated water and wind power base for sudden water pollution accidents according to claim 1 is characterized by: In S1, the day-ahead dispatching model of the integrated water, wind and photovoltaic base realizes the refined management of power generation plans of hydropower stations, wind power stations and photovoltaic power stations by integrating real-time data analysis, advanced prediction models and multi-objective optimization algorithms.

3. The short-term scheduling optimization method for the integrated water and wind power base for sudden water pollution accidents according to claim 1 is characterized by: In S1, the day-ahead dispatch model of the integrated water, wind and solar base aims to maximize the average daily power generation of the integrated base and minimize the residual load fluctuation of the receiving power grid, while strictly complying with multiple constraints such as transmission capacity, water balance, reservoir characteristics, water level and output, and selecting the best dispatching plan by adopting advanced optimization technologies such as DBO algorithm combined with entropy weight method.

4. The short-term scheduling optimization method for a water-wind-solar integrated base for sudden water pollution accidents according to claim 1 is characterized by: In S1, the emergency dispatch model of the water, wind and solar integrated base has designed an efficient and rapid response mechanism for sudden water pollution accidents. The model collects accident-related information through real-time monitoring and data analysis, including key data such as the exact location of the pollution source, the type and concentration of pollutants, and the diffusion rate. Combined with the current day-ahead dispatch plan, it evaluates the potential impact of the accident on the power generation plan and grid operation.

5. The short-term scheduling optimization method for the integrated water and wind power base for sudden water pollution accidents according to claim 1 is characterized by: In S1, the emergency dispatch model of the integrated water, wind and solar base takes minimizing the time for pollutants to arrive at the emergency treatment section as the primary goal in setting the objective function, while pursuing the maximum accumulated value of pollutant concentration so that the emergency treatment facilities can efficiently treat pollutants. The power generation plan deviation is used as the main constraint to ensure that the deviation between the emergency dispatch plan and the day-ahead dispatch plan is controlled within the acceptable range of the power grid to avoid excessive impact on the stability of the power grid.

6. The short-term scheduling optimization method for the integrated water and wind power base for sudden water pollution accidents according to claim 1 is characterized by: In S1, the emergency dispatch model of the water, wind and solar integrated base adopts optimization technologies such as the DBO algorithm to quickly formulate an emergency dispatch plan that can effectively respond to water pollution accidents and maintain the stability of the power grid. The model guides the water, wind and solar integrated base to adjust the power generation tasks of each power generation unit to ensure that in an emergency, pollutants can be quickly treated and the power supply stability of the power grid can be maintained. In the process of executing the dispatch plan, the pollutant treatment efficiency is taken into account and coordinated with the power grid dispatch center to jointly coordinate resource allocation to ensure the stable operation of the power grid in emergency situations.

7. The short-term scheduling optimization method for a water-wind-solar integrated base for sudden water pollution accidents according to claim 1 is characterized by: In S4, the day-ahead dispatching operation process of the water, wind and solar power integrated base is as follows: (1) The hydropower station predicts the runoff of the next day, and the wind power station and photovoltaic power station predict the output of the next day, and report the results to the control center of the integrated base; (2) The dispatching center of the receiving power grid provides the next day's load forecast value to the control center of the integrated base; (3) The integrated base control center combines the information from the power supply side and the load side to formulate a power generation plan and submits it to the dispatch center 4-6 hours before the next day; (4) The dispatch center conducts safety verification on the power generation plan and determines the power generation plan for the next day.

8. The short-term scheduling optimization method for the integrated water and wind power base for sudden water pollution accidents according to claim 1 is characterized by: In S9, the emergency dispatch process of the water, wind and solar integrated base is as follows: (1) The Emergency Response Office reports water pollution accident information to the Integrated Base Control Center; (2) The integrated base control center formulates an emergency dispatch plan based on water pollution accident information and the day-ahead dispatch plan; (3) The integrated base control center adjusts the power generation tasks of each power generation entity in the water, wind and solar integrated base; (4) If there is a deviation between the emergency dispatch plan and the day-ahead dispatch plan, the integrated base control center will report the deviation information to the dispatch center, which will then coordinate resources.

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