Scheduling optimization method, device and equipment of thermal power-pumped storage power station and medium

Abstract

The invention relates to the technical field of power systems, and discloses a dispatching optimization method, device and equipment for a thermal power-pumped storage power station and a medium. The method comprises the following steps: constructing a target function comprising a virtual start-stop cost item, an output stability index item, a daily operation water quantity unbalance penalty item and a thermal power plant daily operation power generation deviation penalty item; and adopting a preset optimization algorithm to carry out optimization solution on a scheduling optimization model formed by the target function, the power grid constraint condition, the pumped storage unit constraint condition and the thermal power unit constraint condition, and determining the corresponding scheduling scheme when the target function reaches the minimum as a target scheduling scheme so as to carry out scheduling on the corresponding thermal power plant and the pumped storage power station. According to the method, multiple factors such as virtual start-stop cost, output stability, water quantity imbalance and power generation deviation are comprehensively considered, the scheduling optimization model is solved by using the preset optimization algorithm, and efficient, economical and stable scheduling of the thermal power plant and the pumped storage power station is realized.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power systems. Specifically, it relates to a dispatching optimization method, device, equipment, and medium for a thermal power-pumped storage power station. Background Art

[0002] For the safe and reliable operation of a power system, it is necessary to achieve real-time dynamic balance between the output power of the power supply side of the system and the load. This requires the power supply side to have a relatively accurate daily output plan and the ability to dynamically adjust power generation in real time according to load changes and prediction errors. At the same time, when experiencing disturbances, the frequency of the power system also needs to remain stable and not change violently. However, with the high proportion of new energy integrated into the power grid, the uncertainty of its power generation seriously affects the balance of power and electricity in the power grid, and also leads to a decline in the inertia of the power system and a reduction in frequency stability, making it extremely difficult to ensure reliable power supply. Energy storage resources are considered a key measure to address the above-mentioned challenges.

[0003] Among them, pumped storage is currently the most mature, reliable, most economical and applicable, and longest life-cycle energy storage method in the power system. Under the trend of large-scale access of new energy to the power grid in the future, the pumped storage method will play an increasingly important role. Although thermal power units are less flexible, they can play a stable role in power supply at the base load. The combination of the two can achieve complementary advantages and is a key mode to ensure the reliable operation of the power grid in the future. Therefore, in order to improve the flexible regulation ability of the power grid and enhance the frequency stability of the power grid, it is urgent to research an efficient dispatching optimization method for the thermal power-pumped storage combined system. Summary of the Invention

[0004] In view of the above situation, embodiments of the present disclosure provide a dispatching optimization method, device, equipment, and medium for a thermal power-pumped storage power station, aiming to solve the above problems or at least partially solve the above problems.

[0005] In a first aspect, embodiments of the present disclosure provide a dispatching optimization method for a thermal power-pumped storage power station, the method comprising:

[0006] Constructing an objective function, the objective function including a virtual start-stop cost term, an output smoothness index term, a daily operation water volume imbalance penalty term, and a daily operation power generation deviation penalty term of the thermal power plant;

[0007] Using a preset optimization algorithm to optimize and solve a dispatching optimization model of the thermal power-pumped storage power station composed of the objective function and objective constraint conditions, and determining the dispatching scheme of the thermal power-pumped storage power station corresponding to the minimum value of the objective function as the target dispatching scheme; wherein, the objective constraint conditions include grid constraint conditions, pumped storage unit constraint conditions, and thermal power unit constraint conditions;

[0008] Dispatch the corresponding thermal power plant and pumped-storage power station by using the target dispatch scheme.

[0009] In some embodiments, the objective function is:

[0010]

[0011] where F represents the objective function; N is the total number of pumped-storage power stations; n i is the total number of units in the i-th pumped-storage power station; i is used to index the serial number of the pumped-storage power station; j is used to index the serial number of the unit in the i-th pumped-storage power station; C s (·) is the virtual start-stop cost function; b ij is the basic start-stop cost of the j-th unit in the i-th pumped-storage power station deviating from the day-ahead planned start-stop; s ij is the additional start-stop times of the j-th unit in the i-th pumped-storage power station deviating from the day-ahead plan; d ij is the start-stop time of the j-th unit in the i-th pumped-storage power station; t ij is the time elapsed since the last state transition of the j-th unit in the i-th pumped-storage power station; T is the optimization dispatch duration; C sta (·) is the output smoothness index function; is the change in the output of the thermal power unit at time t compared with the previous moment; is the change in the output of the pumped-storage unit at time t compared with the previous moment; C E (·) is the daily operation water volume imbalance penalty function; is the daily operation water volume imbalance of the i-th pumped-storage power station up to time T; C Q (·) is the thermal power plant daily operation power generation deviation penalty function; is the total power generation deviation of the thermal power plant up to time T; u t is a binary variable, which is 0 when it represents the first moment of the dispatch optimization; n f is the total number of thermal power units; Pf i t is the output of the i-th thermal power unit at time t; Pf i t-1 is the output of the i-th thermal power unit at time t-1; Pf i,init is the initial output of the i-th thermal power unit; is the output of the j-th unit in the i-th pumped-storage power station at time t; is the output of the j-th unit in the i-th pumped-storage power station at time t-1; P ij,init is the initial output of the j-th unit in the i-th pumped-storage power station; are the upper and lower reservoir water volumes of the i-th pumped-storage power station at time T, respectively; are the water volumes of the upper and lower reservoirs of the i-th pumped-storage power station at time T in the day-ahead plan; Q init is the total deviation of thermal power generation up to the previous moment; is the day-ahead planned output of the i-th thermal power unit at time t.

[0012] In some embodiments, the grid constraint conditions include: load balance constraint conditions and line power flow constraint conditions; the load balance constraint conditions are:

[0013]

[0014] wherein, is the day-ahead prediction deviation of new energy; is the day-ahead planned output of the j-th unit of the i-th pumped-storage power station at time t;

[0015] The line power flow constraint conditions are:

[0016] |P ij (t)| ≤ P ij,max

[0017] wherein, P ij (t) is the actual power flow value of the line from node i to node j at time t, and P ij,max is the maximum power flow value of the line from node i to node j.

[0018] In some embodiments, the grid constraint conditions further include cross-section power flow constraint; the cross-section power flow constraint is:

[0019] |P D (t)| ≤ P D,max

[0020] wherein, P D (t) is the actual power flow value of any cross-section at time t, and P D,max is the maximum power flow value of this cross-section.

[0021] In some embodiments, the thermal power unit constraint conditions include: thermal power unit output upper and lower limit constraint conditions, thermal power unit ramp rate constraint conditions, and thermal power unit reserve capacity constraint conditions;

[0022] The thermal power unit output upper and lower limit constraint conditions are:

[0023] Pf i,min ≤ Pf i t ≤ Pf i,max

[0024] wherein, Pf i,minis the minimum output of the i-th thermal power unit; Pf i,max is the maximum output of the i-th thermal power unit;

[0025] The ramp constraint condition of the thermal power unit is:

[0026] -Pf i,Rud ≤Pf i t -Pf i t-1 *u t -Pf i,init *(1 - u t ) ≤ Pf i,Rud

[0027] where PF i,Rud is the maximum ramp rate of the i-th thermal power unit;

[0028] The spare capacity constraint condition of the thermal power unit is:

[0029]

[0030] where, is the minimum upward spare capacity of the thermal power unit at time t; is the minimum downward spare capacity of the thermal power unit at time t.

[0031] In some embodiments, the constraint conditions of the pumped-storage unit include: the upper and lower limits of the unit's power generation, the uniqueness of the unit's operating conditions, the representation of the unit's output power, the conversion of operating conditions in adjacent time periods, the mutual exclusion of operating conditions within the power station, the upper and lower limits of the water volume in the upper and lower reservoirs, and the relationship between the water volumes in the upper and lower reservoirs; the upper and lower limits of the unit's power generation are:

[0032]

[0033] where P ij,g,min , P ij,g,max are respectively the minimum and maximum values of the power generation of the j-th unit of the i-th pumped-storage power station; is a continuous variable representing the power generation of the j-th unit of the i-th pumped-storage power station at time t;

[0034] The uniqueness of the unit's operating conditions is:

[0035]

[0036] where, are all 0 - 1 variables, and when they are 1, they respectively represent that the j-th unit of the i-th pumped-storage power station is in the pumping condition, the power generation condition, and the shutdown condition;

[0037] The output power of the unit is expressed as:

[0038]

[0039] where P ij,p is the pumping power of the j-th unit of the i-th pumped-storage power station;

[0040] The constraint condition for the conversion of operating conditions in adjacent time periods is:

[0041]

[0042] where u ij,p,init , u ij,g,init are both 0-1 variables, and when they are 1, they respectively indicate that the j-th unit of the i-th pumped-storage power station is in the pumping condition and the power generation condition at the initial moment;

[0043] The mutually exclusive constraint condition for the internal operating conditions of the power station is:

[0044]

[0045] The upper and lower limit constraint conditions for the water volumes of the upper and lower reservoirs are:

[0046]

[0047] where E i,up,min , E i,up,max , E i,down,min , E i,down,max are respectively the minimum and maximum values of the water volumes of the upper and lower reservoirs of the i-th pumped-storage power station; is a continuous variable, and respectively represents the water volumes of the upper and lower reservoirs of the i-th pumped-storage power station at time t;

[0048] The constraint condition for the relationship between the water volumes of the upper and lower reservoirs is:

[0049]

[0050] where E i,up,init , E i,down,init respectively represent the initial water volumes of the upper and lower reservoirs of the i-th pumped-storage power station; η ij,g , η ij,p are respectively the electric energy conversion efficiencies of the j-th unit of the i-th pumped-storage power station in the power generation and pumping conditions.

[0051] In some embodiments, the constraint conditions of the pumped-storage unit further include a power generation condition ramp-up constraint condition; the power generation condition ramp-up constraint condition is:

[0052]

[0053] where respectively represent the power generation of the jth unit of the ith pumped - storage power station at time t and t - 1; R ij,up,g , R ij,down,g are respectively the ramping limits for increasing or decreasing the output of the jth unit of the ith pumped - storage power station.

[0054] Second, the embodiments of the present disclosure also provide a dispatching optimization device for a thermal - power pumped - storage power station. The device includes:

[0055] A construction module for constructing an objective function, which includes a virtual start - stop cost item, an output smoothness index item, a daily operation water volume imbalance penalty item, and a thermal power plant daily operation power generation deviation penalty item;

[0056] A solving module for using a preset optimization algorithm to optimize and solve a dispatching optimization model of the thermal - power pumped - storage power station composed of the objective function and objective constraint conditions, and determining the dispatching scheme of the thermal - power pumped - storage power station corresponding to the minimum value of the objective function as the target dispatching scheme; wherein, the objective constraint conditions include grid constraint conditions, pumped - storage unit constraint conditions, and thermal power unit constraint conditions;

[0057] A dispatching module for using the target dispatching scheme to dispatch the corresponding thermal power plant and pumped - storage power station.

[0058] Third, the embodiments of the present disclosure also provide an electronic device, including: a processor; and a memory arranged to store computer - executable instructions, and the executable instructions, when executed, cause the processor to execute the steps of the above - mentioned dispatching optimization method for a thermal - power pumped - storage power station.

[0059] Fourth, the embodiments of the present disclosure also provide a computer - readable storage medium. The computer - readable storage medium stores one or more programs, and when the one or more programs are executed by an electronic device including multiple application programs, the electronic device is caused to execute the steps of the above - mentioned dispatching optimization method for a thermal - power pumped - storage power station.

[0060] By means of the above - mentioned technical solutions, the dispatching optimization method, device, equipment, and medium for a thermal - power pumped - storage power station provided by the embodiments of the present disclosure. This method constructs an objective function containing multiple dimensions such as virtual start - stop cost items, comprehensively considers various key factors in the operation of the thermal - power pumped - storage power station, and then combines objective constraint conditions in multiple aspects such as the grid, pumped - storage units, and thermal power units, and uses a preset optimization algorithm for solution, and can obtain a target dispatching scheme that minimizes the objective function. When dispatching the thermal power plant and the pumped - storage power station, this scheme can effectively reduce the operation cost, improve the output smoothness, balance the daily operation water volume, reduce the power generation deviation, and enhance the economy, stability, and reliability of the operation of the thermal - power pumped - storage combined system.

[0061] The above description is only an overview of the technical solution of the present disclosure. In order to understand the technical means of the present disclosure more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present disclosure more obvious and understandable, the specific embodiments of the present disclosure are specifically given below. Brief Description of the Drawings

[0062] The drawings described herein are used to provide a further understanding of the present disclosure and constitute a part of the present disclosure. The schematic embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation to the present disclosure. In the drawings:

[0063] Figure 1 A schematic flow chart of the dispatching optimization method for a thermal power-pumped storage power station provided by an embodiment of the present disclosure is shown;

[0064] Figure 2 A schematic structural diagram of the dispatching optimization device for a thermal power-pumped storage power station provided by an embodiment of the present disclosure is shown;

[0065] Figure 3 A schematic structural diagram of an electronic device provided by an embodiment of the present disclosure is shown. Detailed Embodiments

[0066] To make the purpose, technical solution and advantages of the present disclosure clearer, the technical solution of the present disclosure will be clearly and completely described below in conjunction with the specific embodiments of the present disclosure and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the scope of protection of the present disclosure.

[0067] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0068] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence. It should be understood that such use can be interchanged under appropriate circumstances so that the embodiments of the present disclosure described here can be implemented in an order other than those illustrated or described here. In addition, the term "including" and its variants should be interpreted as an open term meaning "including but not limited to".

[0069] As introduced above, pumped storage is the most mature, reliable, cost-effective, and longest-life energy storage method in the current power system. Under the trend of large-scale access of new energy to the power grid in the future, the pumped storage method will play an increasingly important role. Although thermal power units have poor flexibility, they can play a stable role in power supply at base load. The combination of the two can achieve complementary advantages and is the key mode to ensure the reliable operation of the power grid in the future. Based on this, the present invention proposes a dispatching optimization method, device, equipment, and medium for a thermal power-pumped storage power station, and the following will describe the present disclosure in detail through specific embodiments.

[0070] For the convenience of understanding this embodiment, first, a dispatching optimization method for a thermal power-pumped storage power station disclosed in the embodiments of the present disclosure will be introduced in detail. The execution subject of the dispatching optimization method for the thermal power-pumped storage power station provided in the embodiments of the present disclosure is generally a computer device with certain computing capabilities. Such a computer device includes, for example: a terminal device, a server, or other processing devices. The terminal device can be a user equipment (UE), a mobile device, a user terminal, a terminal, a personal digital assistant (PDA), a handheld device, a computing device, etc. In some possible implementation manners, the dispatching optimization method for the thermal power-pumped storage power station can be implemented by a processor calling computer-readable instructions stored in a memory.

[0071] Figure 1 The flowchart of the dispatching optimization method for the thermal power-pumped storage power station provided in the embodiments of the present disclosure is shown. From Figure 1 it can be seen that the embodiments of the present disclosure at least include steps S101 - S103:

[0072] S101: Construct an objective function, where the objective function includes a virtual start-stop cost term, an output smoothness index term, a daily operation water volume imbalance penalty term, and a daily operation power generation deviation penalty term for the thermal power plant.

[0073] S102: Use a preset optimization algorithm to optimize and solve the dispatching optimization model of the thermal power-pumped storage power station composed of the objective function and objective constraint conditions, and determine the dispatching scheme of the thermal power-pumped storage power station corresponding to the minimum value of the objective function as the target dispatching scheme; where the objective constraint conditions include grid constraint conditions, pumped storage unit constraint conditions, and thermal power unit constraint conditions;

[0074] The specific implementation framework of the optimization algorithm in this embodiment is not limited. For example, the optimization algorithm is: a genetic algorithm, a particle swarm optimization algorithm, an ant colony optimization algorithm, or a simulated annealing algorithm, etc.

[0075] S103: Schedule the corresponding thermal power plant and pumped - storage power station by using the target scheduling scheme.

[0076] In the embodiments of the present disclosure, by constructing an objective function including multi - dimensional items such as virtual start - stop cost items, various key factors in the operation of thermal power - pumped storage power stations are comprehensively considered. Then, combined with the objective constraint conditions of multiple aspects such as the power grid, pumped - storage units, and thermal power units, and using a preset optimization algorithm for solution, a target scheduling scheme that minimizes the objective function can be obtained. When scheduling the thermal power plant and the pumped - storage power station, this scheme can effectively reduce the operating cost, improve the output smoothness, balance the daily operating water volume, reduce the power generation deviation, and enhance the economy, stability, and reliability of the operation of the thermal power - pumped storage combined system.

[0077] In some embodiments, the objective function is:

[0078]

[0079] where F represents the objective function; N is the total number of pumped - storage power stations; n i is the total number of units in the i - th pumped - storage power station; i is used to index the serial number of the pumped - storage power station; j is used to index the serial number of the unit in the i - th pumped - storage power station; C s (·) is the virtual start - stop cost function; b ij is the basic start - stop cost of the j - th unit in the i - th pumped - storage power station deviating from the daily - ahead planned start - stop; s ij is the additional start - stop times of the j - th unit in the i - th pumped - storage power station deviating from the daily - ahead plan; d ij is the start - stop time of the j - th unit in the i - th pumped - storage power station; t ij is the time elapsed since the last state conversion of the j - th unit in the i - th pumped - storage power station; T is the optimized scheduling duration; C sta (·) is the output smoothness index function; is the output change of the thermal power unit at time t compared with the previous moment; is the output change of the pumped - storage unit at time t compared with the previous moment; C E (·) is the penalty function for the imbalance of daily operating water volume; is the imbalance of the daily operating water volume of the i - th pumped - storage power station up to time T; C Q (·) is the penalty function for the daily operating power generation deviation of the thermal power plant; is the total power generation deviation of the thermal power plant up to time T; u t is a binary variable, which is 0 when it represents the first moment of the scheduling optimization; n f is the total number of thermal power units; Pf i tis the output of the \(i\)-th thermal power unit at time \(t\); \(P_f\) i t-1 is the output of the \(i\)-th thermal power unit at time \(t - 1\); \(P_f\) i,init is the initial output of the \(i\)-th thermal power unit; is the output of the \(j\)-th unit of the \(i\)-th pumped-storage power station at time \(t\); is the output of the \(j\)-th unit of the \(i\)-th pumped-storage power station at time \(t - 1\); \(P\) ij,init is the initial output of the \(j\)-th unit of the \(i\)-th pumped-storage power station; are the upper and lower reservoir water volumes of the \(i\)-th pumped-storage power station at time \(T\) respectively; are the water volumes of the upper and lower reservoirs of the \(i\)-th pumped-storage power station in the day-ahead plan at time \(T\) respectively; \(Q\) init is the total deviation of thermal power generation up to the previous moment; is the day-ahead planned output of the \(i\)-th thermal power unit at time \(t\).

[0080] In some embodiments, the grid constraint conditions include: a load balance constraint condition and a line power flow constraint condition; the load balance constraint condition is:

[0081]

[0082] wherein, is the day-ahead prediction deviation of new energy; is the day-ahead planned output of the \(j\)-th unit of the \(i\)-th pumped-storage power station at time \(t\);

[0083] The line power flow constraint condition is:

[0084] |P ij (\(\varepsilon\))| ≤ \(\varepsilon\) ij,max

[0085] wherein, \(P\) ij (\(t\)) is the actual power flow value of the line from node \(i\) to node \(j\) at time \(t\), \(P\) ij,max is the maximum power flow value of the line from node \(i\) to node \(j\).

[0086] In some embodiments, the grid constraint conditions further include a section power flow constraint; the section power flow constraint is:

[0087] |P D (\(t\))| ≤ \(P\) D,max

[0088] wherein, \(P\) D (\(t\)) is the actual power flow value of any section at time \(t\), \(P\) D,max is the maximum power flow value of this section.

[0089] This embodiment takes into account the interaction between the power station and the power grid, that is, the restrictions of the power grid lines and section power flows on the power station dispatching. By adding line power flow constraint conditions and section power flow constraint conditions to the dispatching model, the dispatching plan becomes more reasonable and feasible, thus ensuring the safe operation of the power system.

[0090] In some embodiments, the thermal power unit constraint conditions include: upper and lower limits of thermal power unit output constraint conditions, thermal power unit ramp constraint conditions, and thermal power unit reserve capacity constraint conditions;

[0091] The upper and lower limits of thermal power unit output constraint conditions are:

[0092] Pf i,min ≤Pf i t ≤Pf i,max

[0093] Where Pf i,min is the minimum output of the i-th thermal power unit; Pf i,max is the maximum output of the i-th thermal power unit;

[0094] The thermal power unit ramp constraint conditions are:

[0095] -Pf i,Rud ≤Pf i t -Pf i t-1 *u t -Pf i,init *(1 - u t ) ≤ Pf i,Rud

[0096] Where Pf i,Rud is the maximum ramp rate of the i-th thermal power unit;

[0097] The thermal power unit reserve capacity constraint conditions are:

[0098]

[0099] Where, is the minimum upward reserve capacity of the thermal power unit at time t; is the minimum downward reserve capacity of the thermal power unit at time t.

[0100] In some embodiments, the pumped-storage unit constraint conditions include: upper and lower limits of unit power generation constraint conditions, unique unit operating condition constraint conditions, unit output power representation, adjacent period operating condition conversion constraint conditions, internal power station operating condition mutual exclusion constraint conditions, upper and lower limits of upper and lower reservoir water volumes constraint conditions, and upper and lower reservoir water volume relationship constraint conditions;

[0101] The upper and lower limits of the generating power of the unit are as follows:

[0102]

[0103] Among them, P ij,g,min , P ij,g,max are the minimum and maximum values of the generating power of the jth unit of the ith pumped-storage power station respectively; is a continuous variable, representing the generating power of the jth unit of the ith pumped-storage power station at time t;

[0104] The unique constraint condition of the unit operating condition is:

[0105]

[0106] Among them, are all 0-1 variables. When they are 1, they represent that the jth unit of the ith pumped-storage power station is in the pumping condition, generating condition, and shutdown condition respectively;

[0107] The output power of the unit is expressed as:

[0108]

[0109] Among them, P ij,p is the pumping power of the jth unit of the ith pumped-storage power station;

[0110] The constraint condition for the conversion of operating conditions in adjacent time periods is:

[0111]

[0112] Among them, u ij,p,init , u ij,g,init are all 0-1 variables. When they are 1, they represent that the jth unit of the ith pumped-storage power station is in the pumping condition and generating condition at the initial moment respectively;

[0113] The mutually exclusive constraint condition of the operating conditions inside the power station is:

[0114]

[0115] The upper and lower limits of the water volume in the upper and lower reservoirs are:

[0116]

[0117] Among them, E i,up,min , E i,up,max , E i,down,min , E i,down,max are the minimum and maximum values of the water volume in the upper and lower reservoirs of the ith pumped-storage power station respectively; are continuous variables, representing the water volumes in the upper and lower reservoirs of the i-th pumped-storage power station at time t respectively;

[0118] The constraint conditions for the water volume relationship between the upper and lower reservoirs are as follows:

[0119]

[0120] where E i,up,init , E i,down,init represent the initial water volumes in the upper and lower reservoirs of the i-th pumped-storage power station respectively; η ij,g , η ij,p are the electric energy conversion efficiencies of the j-th unit of the i-th pumped-storage power station under the power generation and pumping conditions respectively.

[0121] In some embodiments, the constraint conditions of the pumped-storage units further include the power generation condition ramp constraint condition; the power generation condition ramp constraint condition is as follows:

[0122]

[0123] where represent the power generation powers of the j-th unit of the i-th pumped-storage power station at time t and t - 1 respectively; R ij,up,g , R ij,down,g are the ramp limits for increasing or decreasing the output of the j-th unit of the i-th pumped-storage power station respectively.

[0124] Considering the adjustable characteristics of the fixed-speed pumped-storage units from the steady-state power generation power to the rated power generation power, this embodiment improves the constraint conditions of the pumped-storage units, adds the power generation condition ramp constraint condition, makes the model closer to the actual characteristics of the fixed-speed pumped-storage units, improves the refinement degree of the dispatching optimization model, and thus significantly improves the dispatching optimization effect of the power station.

[0125] Those skilled in the art can understand that in the above method of the specific embodiment mode, the writing order of each step does not mean a strict execution order, and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0126] It should be noted that in practical applications, all the above possible implementation manners can be combined in any combination to form the possible embodiments of the present disclosure, which will not be elaborated herein one by one. The information (including but not limited to device information, user information, etc.) and data (including but not limited to data for analysis, storage, and display, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. The software tools or components appearing in the embodiments of the present disclosure are only for example introduction and do not represent actual use.

[0127] Based on the same concept, embodiments of the present disclosure further provide a dispatching optimization device for a thermal power-pumped storage power station, and the dispatching optimization device for the thermal power-pumped storage power station corresponds one-to-one to the dispatching optimization method for the thermal power-pumped storage power station in the above embodiments. Figure 2 Fig. shows a schematic structural diagram of the dispatching optimization device for a thermal power-pumped storage power station provided by an embodiment of the present disclosure. Refer to Figure 2 As shown, the dispatching optimization device 200 for a thermal power-pumped storage power station provided by an embodiment of the present disclosure includes:

[0128] A construction module 201, configured to construct an objective function, where the objective function includes a virtual start-stop cost item, an output smoothness index item, a daily operation water volume imbalance penalty item, and a daily operation power generation deviation penalty item of a thermal power plant;

[0129] A solution module 202, configured to use a preset optimization algorithm to optimize and solve a dispatching optimization model for a thermal power-pumped storage power station formed by the objective function and objective constraint conditions, and determine a dispatching scheme for the thermal power-pumped storage power station corresponding to the minimum value of the objective function as the target dispatching scheme; where the objective constraint conditions include grid constraint conditions, pumped storage unit constraint conditions, and thermal power unit constraint conditions;

[0130] A dispatching module 203, configured to dispatch a corresponding thermal power plant and pumped storage power station by using the target dispatching scheme.

[0131] In some embodiments, in the above device, the objective function is:

[0132]

[0133]

[0134] where F represents the objective function; N is the total number of pumped storage power stations; n i is the total number of units in the i-th pumped storage power station; i is used to index the serial number of the pumped storage power station; j is used to index the serial number of the unit in the i-th pumped storage power station; C s (·) is a virtual start-stop cost function; b ij is the basic start-stop cost of the j-th unit in the i-th pumped storage power station deviating from the day-ahead plan start-stop; s ij is the additional start-stop times of the j-th unit in the i-th pumped storage power station deviating from the day-ahead plan; d ij is the start-stop time of the j-th unit in the i-th pumped storage power station; t ij is the time elapsed since the last state transition of the j-th unit in the i-th pumped storage power station; T is the optimized dispatching duration; C sta (·) is an output smoothness index function; is the change in output of the thermal power unit at time t compared with the previous moment; is the change in output of the pumped-storage unit at time t compared with the previous moment; C E (·) is the penalty function for the daily water volume imbalance; is the daily water volume imbalance of the i-th pumped-storage power station up to time T; C Q (·) is the penalty function for the daily power generation deviation of the thermal power plant; is the total power generation deviation of the thermal power plant up to time T; u t is a binary variable. When it is 0, it means this is the first moment of the scheduling optimization; n f is the total number of thermal power units; Pf i t is the output of the i-th thermal power unit at time t; Pf i t-1 is the output of the i-th thermal power unit at time t-1; Pf i,init is the initial output of the i-th thermal power unit; is the output of the j-th unit of the i-th pumped-storage power station at time t; is the output of the j-th unit of the i-th pumped-storage power station at time t-1; P ij,init is the initial output of the j-th unit of the i-th pumped-storage power station; are the upper and lower reservoir water volumes of the i-th pumped-storage power station at time T, respectively; are the water volumes of the upper and lower reservoirs of the i-th pumped-storage power station in the day-ahead plan at time T, respectively; Q init is the total power generation deviation of the thermal power plant up to the previous moment; is the day-ahead planned output of the i-th thermal power unit at time t.

[0135] In some embodiments, in the above device, the grid constraint conditions include: load balance constraint conditions and line power flow constraint conditions; the load balance constraint conditions are:

[0136]

[0137] Among them, is the day-ahead prediction deviation of new energy; is the day-ahead planned output of the j-th unit of the i-th pumped-storage power station at time t;

[0138] The line power flow constraint conditions are:

[0139] |P ij (t)| ≤ P ij,max

[0140] Among them, P ij(t) is the actual power flow value of the line from node i to node j at time t, P ij,max is the maximum power flow value of the line from node i to node j.

[0141] In some embodiments, in the above device, the grid constraint conditions further include section power flow constraints; the section power flow constraints are:

[0142] |P D (t)| ≤ P D,max

[0143] where P D (t) is the actual power flow value of any section at time t, and P D,max is the maximum power flow value of this section.

[0144] In some embodiments, in the above device, the thermal power unit constraint conditions include: upper and lower limits of thermal power unit output constraint conditions, thermal power unit ramp rate constraint conditions, thermal power unit reserve capacity constraint conditions; the upper and lower limits of thermal power unit output constraint conditions are:

[0145] Pf i,min ≤ Pf i t ≤ Pf i,max

[0146] where Pf i,min is the minimum output of the i-th thermal power unit; Pf i,max is the maximum output of the i-th thermal power unit;

[0147] The thermal power unit ramp rate constraint conditions are:

[0148] -Pf i,Rud ≤ Pf i t -Pf i t-1 *u t -Pf i,init *(1 - u t ) ≤ Pf i,Rud

[0149] where Pf i,Rud is the maximum ramp rate of the i-th thermal power unit;

[0150] The thermal power unit reserve capacity constraint conditions are:

[0151]

[0152] where, is the minimum upward reserve capacity of the thermal power unit at time t; is the minimum downward reserve capacity of the thermal power unit at time t.

[0153] In some embodiments, in the above device, the pumped-storage unit constraint conditions include: the upper and lower limit constraint conditions of the unit's power generation, the unique unit operating condition constraint condition, the representation of the unit's output power, the adjacent period operating condition conversion constraint condition, the internal power station operating condition mutual exclusion constraint condition, the upper and lower limit constraint conditions of the upper and lower reservoir water volumes, and the upper and lower reservoir water volume relationship constraint condition; the upper and lower limit constraint conditions of the unit's power generation are:

[0154]

[0155] where P ij,g,min , P ij,g,max are respectively the minimum and maximum values of the power generation of the j-th unit in the i-th pumped-storage power station; is a continuous variable representing the power generation of the j-th unit in the i-th pumped-storage power station at time t;

[0156] The unique unit operating condition constraint condition is:

[0157]

[0158] where are all 0-1 variables, and when they are 1, they respectively represent that the j-th unit in the i-th pumped-storage power station is in the pumping condition, the power generation condition, and the shutdown condition;

[0159] The unit output power is expressed as:

[0160]

[0161] where P ij,p is the pumping power of the j-th unit in the i-th pumped-storage power station;

[0162] The adjacent period operating condition conversion constraint condition is:

[0163]

[0164] where u ij,p,init , u ij,g,init are all 0-1 variables, and when they are 1, they respectively represent that the j-th unit in the i-th pumped-storage power station is in the pumping condition and the power generation condition at the initial moment;

[0165] The internal power station operating condition mutual exclusion constraint condition is:

[0166]

[0167] The upper and lower limit constraint conditions of the upper and lower reservoir water volumes are:

[0168]

[0169] Among them, E i,up,min , E i,up,max , E i,down,min , E i,down,max are respectively the minimum and maximum values of the water volumes in the upper and lower reservoirs of the i-th pumped-storage power station; is a continuous variable, respectively representing the water volumes in the upper and lower reservoirs of the i-th pumped-storage power station at time t;

[0170] The constraint conditions for the water volume relationship between the upper and lower reservoirs are as follows:

[0171]

[0172] Among them, E i,up,init , E i,down,init respectively represent the initial water volumes in the upper and lower reservoirs of the i-th pumped-storage power station; η ij,g , η ij,p are respectively the electric energy conversion efficiencies of the j-th unit of the i-th pumped-storage power station in the power generation and pumping conditions.

[0173] In some embodiments, in the above device, the constraint conditions of the pumped-storage unit further include the power generation condition ramp constraint condition; the power generation condition ramp constraint condition is:

[0174]

[0175] Among them, respectively represent the power generation powers of the j-th unit of the i-th pumped-storage power station at time t and t - 1; R ij,up,g , R ij,down,g are respectively the ramp limits for increasing or decreasing the output of the j-th unit of the i-th pumped-storage power station.

[0176] The present invention provides a dispatching optimization device for a thermal power - pumped - storage power station. First, by constructing an objective function including multi - dimensional items such as virtual start - stop cost items, various key factors in the operation of the thermal power - pumped - storage power station are comprehensively considered. Then, combined with the objective constraint conditions of multiple aspects such as the power grid, pumped - storage units, and thermal power units, a preset optimization algorithm is used for solution, and an objective dispatching scheme that minimizes the objective function can be obtained. When dispatching the thermal power plant and the pumped - storage power station, this scheme can effectively reduce the operation cost, improve the output smoothness, balance the daily operation water volume, reduce the power generation deviation, and enhance the economy, stability, and reliability of the operation of the thermal power - pumped - storage combined system.

[0177] For the specific limitations of the dispatching optimization device of the thermal power-pumped storage power station, reference can be made to the limitations of the dispatching optimization method of the thermal power-pumped storage power station in the foregoing text, which will not be elaborated herein. Each module in the above-mentioned dispatching optimization device of the thermal power-pumped storage power station can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor in the computer device in the form of hardware or be independent of it, or can be stored in the memory in the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to the above-mentioned modules.

[0178] Figure 3 The structural schematic diagram of an electronic device provided by an embodiment of the present disclosure is shown. As Figure 3 shown, at the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include internal memory, such as high-speed random access memory (Random-Access Memory, RAM), and may also include non-volatile memory, such as at least one disk memory, etc. Of course, the electronic device may also include other hardware required for other services.

[0179] The processor, the network interface, and the memory can be interconnected through the internal bus, and the internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 3 only a bidirectional arrow is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0180] The memory is used to store programs. Specifically, the program may include program codes, and the program codes include computer operation instructions. The memory can include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0181] The processor reads the corresponding computer program from the non-volatile memory into the internal memory and then runs it, and a dispatching optimization device of the thermal power-pumped storage power station is formed at the logical level. The processor executes the program stored in the memory and is specifically used to execute the foregoing method.

[0182] A processor may be an integrated circuit chip with the ability to process signals. In the implementation process, each step of the above method can be completed by the integrated logic circuit in the hardware of the processor or instructions in the form of software. The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present disclosure. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present disclosure can be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of the hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method.

[0183] The electronic device can execute the dispatching optimization method of the thermal power-pumped storage power station provided by multiple embodiments of the present disclosure and be implemented as a dispatching optimization device of the thermal power-pumped storage power station in Figure 2 the functions of the embodiments shown, and the embodiments of the present disclosure will not be elaborated here.

[0184] The embodiments of the present disclosure also propose a computer-readable storage medium. The computer-readable storage medium stores one or more programs, and the one or more programs include instructions. When the instructions are executed by an electronic device including multiple application programs, the electronic device can be enabled to execute the dispatching optimization method of the thermal power-pumped storage power station provided by multiple embodiments of the present disclosure.

[0185] Those skilled in the art should understand that the embodiments of the present disclosure can be provided as a method, a system, or a computer program product. Therefore, the present disclosure can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present disclosure can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0186] This disclosure is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general purpose computers, special purpose computers, embedded processors, or other programmable data processing devices to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0187] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0188] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0189] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0190] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory. The memory is an example of computer-readable media.

[0191] A computer-readable medium includes both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, tapes, disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information accessible by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0192] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of another identical element in the process, method, article or apparatus comprising the element.

[0193] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0194] The above are only embodiments of the present disclosure and are not intended to limit the present disclosure. For those skilled in the art, various changes and modifications can be made to the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present disclosure shall be included within the scope of the claims of the present disclosure.

Claims

1. A dispatching optimization method for a thermal power - pumped storage power station, characterized in that, The method includes: Constructing an objective function, which includes a virtual start-stop cost term, an output smoothness index term, a penalty term for daily operation water volume imbalance, and a penalty term for daily operation power generation deviation of a thermal power plant; Using a preset optimization algorithm to optimize and solve a thermal power-pumped storage power station scheduling optimization model composed of the objective function and objective constraint conditions, and determining the thermal power-pumped storage power station scheduling scheme corresponding to the minimum value of the objective function as the target scheduling scheme; wherein, the objective constraint conditions include grid constraint conditions, pumped storage unit constraint conditions, and thermal power unit constraint conditions; Using the target scheduling scheme to schedule the corresponding thermal power plant and pumped storage power station.

2. The method according to claim 1, wherein The objective function is: Among them, F represents the objective function; N is the total number of pumped-storage power stations; n i is the total number of units in the i-th pumped-storage power station; i is used to index the serial number of the pumped-storage power station; j is used to index the serial number of the unit in the i-th pumped-storage power station; C s (·) is the virtual start-stop cost function; b ij is the basic start-stop cost of the j-th unit in the i-th pumped-storage power station deviating from the day-ahead planned start-stop; s ij is the additional start-stop times of the j-th unit in the i-th pumped-storage power station deviating from the day-ahead plan; d ij is the start-stop time of the j-th unit in the i-th pumped-storage power station; t ij is the time elapsed since the last state transition of the j-th unit in the i-th pumped-storage power station; T is the optimization scheduling duration; C sta (·) is the output smoothness index function; is the change in the output of the thermal power unit at time t compared with the previous moment; is the change in the output of the pumped-storage unit at time t compared with the previous moment; C E (·) is the daily operation water volume imbalance penalty function; is the daily operation water volume imbalance of the i-th pumped-storage power station until time T; C Q (·) is the thermal power plant daily operation power generation deviation penalty function; is the total power generation deviation of the thermal power plant until time T; u t is a binary variable, when it is 0, it means this is the first moment of the scheduling optimization; n f is the total number of thermal power units; Pf i t is the output of the i-th thermal power unit at time t; Pf i t-1 is the output of the i-th thermal power unit at time t - 1; Pf i,init is the initial output of the i-th thermal power unit; is the output of the j-th unit in the i-th pumped-storage power station at time t; is the output of the j-th unit in the i-th pumped-storage power station at time t - 1; P ij,init is the initial output of the j-th unit in the i-th pumped-storage power station; are the upper and lower reservoir water volumes of the i-th pumped-storage power station at time T, respectively; are the water volumes of the upper and lower reservoirs of the i-th pumped-storage power station at time T in the day-ahead plan, respectively; Q init is the total thermal power generation deviation until the previous moment; is the day-ahead planned output of the i-th thermal power unit at time t.

3. The method according to claim 2, characterized in that, The grid constraint conditions include: a load balance constraint condition and a line power flow constraint condition; The load balance constraint condition is: Among them, is the prediction deviation of new energy for the day ahead; is the scheduled output of the j-th unit of the i-th pumped storage power station at time t; The line power flow constraint condition is: |P ij (t)| ≤ P ij,max Among them, P ij (t) is the actual power flow value of the line from node i to node j at time t, and P ij,max is the maximum power flow value of the line from node i to node j.

4. The method according to claim 3, wherein The grid constraint conditions further include a section power flow constraint; the section power flow constraint is: |P D (t)| ≤ P D,max Among them, P D (t) is the actual tidal current value of any cross-section at time t, and P D,max is the maximum tidal current value of this cross-section.

5. The method according to claim 2, wherein The thermal power unit constraint conditions include: upper and lower limits of thermal power unit output constraint conditions, thermal power unit ramp constraint conditions, and thermal power unit reserve capacity constraint conditions; The upper and lower limits of thermal power unit output constraint conditions are: Pf i,min ≤Pf i t ≤Pf i,max Among them, Pf i,min is the minimum output of the i-th thermal power unit; Pf i,max is the maximum output of the i-th thermal power unit; The thermal power unit ramp constraint conditions are: -Pf i,Rud ≤Pf i t -Pf i t-1 *u t -Pf i,init *(1 - u t )≤Pf i,Rud Among them, Pf i,Rud is the maximum ramping rate of the i-th thermal power unit; The thermal power unit reserve capacity constraint conditions are: Among them, is the minimum upward reserve capacity of the thermal power unit at time t; is the minimum downward reserve capacity of the thermal power unit at time t.

6. The method according to claim 2, wherein The pumped storage unit constraint conditions include: upper and lower limits of unit power generation constraint conditions, unique unit operating condition constraint conditions, unit output power representation, adjacent period operating condition conversion constraint conditions, internal power station operating condition mutual exclusion constraint conditions, upper and lower limits of upper and lower reservoir water volume constraint conditions, and upper and lower reservoir water volume relationship constraint conditions; The upper and lower limits of unit power generation constraint conditions are: Among them, P ij,g,min , P ij,g,max are respectively the minimum value and the maximum value of the power generation power of the jth unit of the ith pumped-storage power station; is a continuous variable, representing the power generation power of the jth unit of the ith pumped-storage power station at time t; The unique unit operating condition constraint conditions are: wherein, are all 0-1 variables, and when they are 1, they respectively indicate that the j-th unit of the i-th pumped-storage power station is in the pumping condition, the power generation condition, and the shutdown condition; The unit output power is represented as: where P ij,p is the pumping power of the jth unit of the ith pumped-storage power station; The adjacent period operating condition conversion constraint conditions are: where, u ij,p,init , u ij,g,init are both 0-1 variables, and when they are 1, they respectively indicate that the j-th unit of the i-th pumped storage power station is in the pumping condition and the power generation condition at the initial moment; The internal power station operating condition mutual exclusion constraint conditions are: The upper and lower limits of upper and lower reservoir water volume constraint conditions are: Among them, E i,up,min , E i,up,max , E i,down,min , E i,down,max are respectively the minimum and maximum values of the water volumes in the upper and lower reservoirs of the i-th pumped-storage power station; is a continuous variable, respectively representing the water volumes in the upper and lower reservoirs of the i-th pumped-storage power station at time t; The upper and lower reservoir water volume relationship constraint conditions are: where, E i,up,init , E i,down,init respectively represent the initial water volumes of the upper and lower reservoirs of the i-th pumped-storage power station; η ij,g , η ij,p are respectively the electric energy conversion efficiencies of the j-th unit of the i-th pumped-storage power station under the power generation and pumping conditions.

7. The method according to claim 6, characterized in that The pumped storage unit constraint conditions further include a power generation operating condition ramp constraint condition; the power generation operating condition ramp constraint condition is: Among them, respectively represent the power generation of the j-th unit of the i-th pumped-storage power station at time t and t-1; R ij,up,g , R ij,down,g are respectively the ramp rate limits for increasing or decreasing the output of the j-th unit of the i-th pumped-storage power station.

8. A dispatching optimization device for a thermal power-pumped storage power station, characterized in that, The device includes: A construction module for constructing an objective function, which includes a virtual start-stop cost term, an output smoothness index term, a penalty term for daily operation water volume imbalance, and a penalty term for daily operation power generation deviation of a thermal power plant; A solution module for using a preset optimization algorithm to optimize and solve a thermal power-pumped storage power station scheduling optimization model composed of the objective function and objective constraint conditions, and determining the thermal power-pumped storage power station scheduling scheme corresponding to the minimum value of the objective function as the target scheduling scheme; wherein, the objective constraint conditions include grid constraint conditions, pumped storage unit constraint conditions, and thermal power unit constraint conditions; A scheduling module for using the target scheduling scheme to schedule the corresponding thermal power plant and pumped storage power station.

9. An electronic device, including: A processor; And A memory arranged to store computer-executable instructions, characterized in that the executable instructions, when executed, cause the processor to execute the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium storing one or more programs, characterized in that, When the one or more programs are executed by an electronic device including a plurality of applications, the electronic device is caused to perform the steps of the method according to any one of claims 1-7.

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