A method for optimizing electric energy and flexible ramping in consideration of energy storage

Abstract

The present application relates to a kind of considering energy storage electric energy and flexible climbing collaborative optimization method, belong to power system optimization field, it is difficult to make energy storage effectively participate in the existing method flexible climbing of power system, cannot meet the demand of system to flexible regulation ability under the background of new energy penetration rate promotion, leading to more wind power and photovoltaic power curtailment and load shedding power problem. Including obtaining target power grid day-ahead power system operation data;Based on day-ahead power system operation data, calculate the certainty and uncertainty of power system climbing demand;Based on the certainty and uncertainty of power system climbing demand, the flexible climbing demand of power system is calculated;Based on the flexible climbing demand of power system, the total loss of coal consumption of thermal power unit and energy storage operation loss is minimized as the target of electric energy and flexible climbing collaborative optimization model is constructed;Using solver, based on the constraint condition set, the electric energy and flexible climbing collaborative optimization model is solved, and the thermal power unit output plan and energy storage charging and discharging scheme are obtained.

Description

Technical Field

[0001] This invention relates to the field of power system optimization technology, and in particular to a method for co-optimizing electrical energy and flexible ramping that takes into account energy storage. Background Technology

[0002] New energy sources such as wind and solar power are increasingly being integrated into the power system due to their clean, low-carbon, and renewable characteristics. However, the volatility and uncertainty of new energy power generation pose significant challenges to the stable operation of the power system.

[0003] Current methods primarily rely on thermal power units to provide flexible ramp-up services, with limited involvement of energy storage. This limits the potential of energy storage technology in enhancing power system flexibility, failing to fully utilize its rapid response and bidirectional regulation capabilities. This issue directly results in the power system struggling to meet the demand for flexible regulation capabilities in the context of increasing renewable energy penetration.

[0004] Existing technologies lack a mechanism for the coordinated optimization of thermal power units and energy storage. The operation plans for thermal power units and energy storage are usually formulated independently, failing to achieve coordinated and optimized operation between the two, thereby reducing the overall regulation capacity of the power system and preventing the optimal utilization of the regulation capacity of thermal power units and energy storage. Summary of the Invention

[0005] Based on the above analysis, the embodiments of the present invention aim to provide a method for co-optimizing electrical energy and flexible ramping that considers energy storage, in order to solve the technical problem that existing methods are difficult to enable energy storage to effectively participate in the flexible ramping of the power system, and cannot meet the power system's demand for flexible adjustment capabilities under the background of increasing new energy penetration, resulting in a large amount of wind and solar power curtailment and load shedding.

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

[0007] This invention provides a method for co-optimizing electrical energy and flexible ramping, considering energy storage, comprising the following steps:

[0008] Obtain the day-ahead power system operation data of the target power grid; calculate the deterministic and non-deterministic ramping requirements of the power system based on the day-ahead power system operation data; calculate the flexible ramping requirements of the power system based on the deterministic and non-deterministic ramping requirements of the power system.

[0009] Based on the aforementioned flexible ramping requirements of the power system, a collaborative optimization model for electrical energy and flexible ramping is constructed with the goal of minimizing the total losses of coal consumption of thermal power units and energy storage operation losses.

[0010] Using a solver, the electrical energy and flexible ramping collaborative optimization model is solved based on the set constraints to obtain the thermal power unit output plan and energy storage charging and discharging scheme.

[0011] Furthermore, the deterministic and non-deterministic ramping requirements of the power system respectively include corresponding up-climbing and down-climbing requirements; the flexible ramping requirements of the power system are as follows:

[0012]

[0013] in, These represent the uphill and downhill demand during time period t. These represent the deterministic uphill and downhill demand for time period t, respectively. and These represent the uncertain uphill and downhill demands of the system during time period t, respectively, where T is the set of time periods.

[0014] Furthermore, the deterministic ramping requirement is as follows:

[0015]

[0016] in, and These represent the deterministic uphill and downhill requirements for system time period t, respectively; L t L t+1 These represent the predicted net loads of the system at time periods t and t+1, respectively; J is the set of loads; P j,t Let be the predicted value of load j in time period T; V be the set of renewable energy sources; P ... set of renewable energy sources; P be the v,t This represents the predicted output value of the new energy source v during time period t.

[0017] Furthermore, the uncertain climbing requirements are constructed based on the deterministic climbing requirements, as follows:

[0018]

[0019] in, and These represent the ramp-up and ramp-down demands of the power system under uncertainty in time period t, respectively. and These represent the upward and downward safety margins reserved for system time period t, respectively. and These represent the contribution values ​​of the upward safety margin reserved for load and new energy sources in the power system during time period t; and These represent the contributions of the power system to the downward safety margin reserved for load and renewable energy in time period t, respectively; P j,t+1 P is the predicted value of load j in time period t+1; v,t+1 This represents the predicted output value of the new energy source v in time period t+1; and To pre-set the upper and lower limits of the load j prediction error rate under the preset credit level; and To pre-set the upper and lower limits of the prediction error rate for new energy power output under the given information level.

[0020] Furthermore, the objective function established with the goal of minimizing the total loss of coal consumption of thermal power units and energy storage operation losses is expressed as follows:

[0021]

[0022] Where G is the set of thermal power units; B is the set of output segments of thermal power units; T is the set of time periods; λ i,b P represents the coal consumption of thermal power unit i in section b. i,t,b c is the power generation of thermal power unit i during the b-th output interval of time period t; ess P represents the unit operating loss of energy storage; t,dis P t,ch These represent the discharge power and charging power of the energy storage system during time period t, respectively.

[0023] Furthermore, the set constraints include energy storage operation constraints, system ramping demand constraints, system power balance constraints, thermal power unit operation constraints, thermal power unit flexible ramping capacity constraints, and energy storage flexible ramping capacity constraints.

[0024] Furthermore, the energy storage operation constraints are as follows:

[0025]

[0026] Among them, P ess,max The rated power of the energy storage; u t,dis and u t,ch E represents the discharge and charge states of energy storage during time period t, and is a 0-1 variable; t E t+1 These represent the energy stored in time periods t and t+1, respectively; η dis and η ch These are the discharge efficiency and charging efficiency of energy storage, respectively; E min and E max These represent the lower limit and upper limit of energy storage capacity.

[0027] Furthermore, the system's ramp-up requirements are constrained as follows:

[0028]

[0029] in, and The uphill ramp capacity and downhill ramp capacity provided for thermal power unit i; and Uphill and downhill capacity provided for energy storage.

[0030] Furthermore, the power output plan of the thermal power unit includes the power generation P of thermal power unit i in the b-th power output interval of time period t. i,t,b ;

[0031] The energy storage charging and discharging scheme includes the energy storage unit operating loss c. ess The discharge power P of the energy storage during time period t t,dis and charging power P t,ch The discharge state u of energy storage during time period t t,dis and charging status u t,ch Energy storage capacity E during time period t t .

[0032] Furthermore, the day-ahead power system operation data of the target power grid includes new energy and load data, thermal power unit data, and energy storage data;

[0033] The new energy and load data include new energy output forecasts, load forecasts, new energy output forecast error rates, and load forecast error rates.

[0034] Compared with the prior art, the present invention can achieve at least one of the following beneficial effects:

[0035] 1. This invention comprehensively considers the participation of thermal power units and energy storage in providing flexible ramping services for the power system. By considering the electrical energy of energy storage and the flexible ramping collaborative optimization method, it can effectively integrate thermal power units and energy storage resources, improve the flexible adjustment capability of the power system, better cope with the volatility and uncertainty of new energy power generation, reduce the amount of wind and solar curtailment and load shedding, and improve the flexibility of the power system.

[0036] 2. This invention constructs an optimization model with the goal of minimizing the total loss of coal consumption of thermal power units and energy storage operation losses, thereby achieving minimum loss operation of thermal power units and energy storage;

[0037] 3. This invention fully considers the volatility and uncertainty of new energy sources, and by optimizing the scheduling of thermal power units and energy storage, it provides more space for the consumption of new energy sources and promotes the consumption of new energy sources.

[0038] 4. By rationally arranging the output plans and charging and discharging schemes of thermal power units and energy storage, this invention ensures the power balance and frequency stability of the power system, improves the safety and reliability of the power system, and enhances the stability of the power system.

[0039] In this invention, the above-described technical solutions can be combined with each other to achieve more preferred combinations. Other features and advantages of this invention will be set forth in the following description, and some advantages may become apparent from the description or be learned by practicing the invention. The objects and other advantages of this invention can be realized and obtained from what is particularly pointed out in the description and drawings. Attached Figure Description

[0040] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts.

[0041] Figure 1 This is a flowchart of a method for co-optimizing electrical energy and flexible hill climbing, taking into account energy storage, in an embodiment of the present invention. Detailed Implementation

[0042] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.

[0043] With the continuous advancement of new power system construction, a large number of new energy sources, represented by wind and solar power, are being connected to the grid. Due to the anti-peak-shaving characteristics of wind and solar power, the daily net load of the power system exhibits a "duck-shaped curve," with the net load rapidly rising or falling within a short period. This situation will worsen as the proportion of wind and solar power gradually increases. To address this change, flexible ramp-up services have emerged. Currently, flexible ramp-up services are mainly provided by thermal power units, with less participation from more adjustable energy storage systems.

[0044] To address the aforementioned issues, this invention proposes a collaborative optimization method for electrical energy and flexible ramping, considering energy storage, specifically for thermal power units and energy storage. Starting from the source of flexible ramping services, the method calculates the ramping demand of the new power system using day-ahead power system operation information. Then, based on the operating characteristics of thermal power units and energy storage, a collaborative optimization model for electrical energy and flexible ramping involving both thermal power units and energy storage is constructed. Finally, the model is solved to obtain the operating scheme for thermal power units and energy storage, applicable to the flexible ramping demand of the new power system with its increasing penetration of new energy sources.

[0045] This invention provides a flexible ramping service solution involving multiple types of dispatchable resources in new power systems with increasing penetration of new energy sources. By embedding thermal power units and energy storage into the pre-dispatch scheme of the power system, the flexible ramping service enables the new power system to reduce the amount of wind and solar power curtailment and load shedding.

[0046] A specific embodiment of the present invention discloses a method for co-optimizing electrical energy and flexible ramping, considering energy storage. Figure 1 As shown, it includes the following steps:

[0047] Step S1: Obtain the day-ahead power system operation data of the target power grid; calculate the deterministic and non-deterministic ramping requirements of the power system based on the day-ahead power system operation data; calculate the flexible ramping requirements of the power system based on the deterministic and non-deterministic ramping requirements of the power system.

[0048] Step S2: Based on the power system's flexible ramping requirements, construct a collaborative optimization model for electrical energy and flexible ramping with the goal of minimizing the total loss of coal consumption of thermal power units and energy storage operation losses.

[0049] Step S3: Using a solver, solve the electrical energy and flexible ramping collaborative optimization model based on the set constraints to obtain the thermal power unit output plan and energy storage charging and discharging scheme.

[0050] The target power grid refers to a specific power system intended for optimization and management. It can be flexibly defined according to specific application scenarios and needs. For example, the target power grid can be a local power grid, a regional power grid, or any other form of power system, as long as it is the object of focus and optimization in this invention. The technical solutions in this invention can be flexibly applied to power systems of different scales and types.

[0051] Step S1 includes steps S11-S13.

[0052] Step S11: Obtain the day-ahead power system operation data of the target power grid.

[0053] Obtain the day-ahead operating data of the target power grid's power system for multiple time periods.

[0054] The day-ahead power system operation data of the target power grid includes new energy and load data, thermal power unit data, and energy storage data.

[0055] (1) Obtain new energy and load data.

[0056] The new energy and load data specifically include: the predicted output of new energy sources in each time period, the predicted output of each load in each time period, the prediction error rate of each new energy source, the prediction error rate of each load, and the predicted net load of the target power grid system;

[0057] For example, new energy and load data can be obtained from the dispatching agency, with a time resolution typically set to 15 minutes.

[0058] The predicted values ​​of renewable energy output, load, renewable energy output prediction error rate, and load prediction error rate are generated by the dispatching agency based on prediction algorithms and historical data, and are used to reflect the expected situation of renewable energy output and load in future periods.

[0059] For example, the set of new energy sources V includes new energy types such as solar power generation, wind power generation (onshore wind power, offshore wind power), biomass power generation, ocean tidal power generation, and ocean wave power generation; the set of loads J includes residential loads, commercial loads, industrial loads, and public service loads.

[0060] (2) Obtain thermal power unit data.

[0061] The thermal power unit data specifically includes: coal consumption for each unit's output segment, power generation for each unit's output segment, upper limit of unit output, lower limit of unit output, unit segment uphill and downhill capacity, upper limit of unit uphill rate, upper limit of unit downhill rate, upper limit of unit output capacity, and total unit output.

[0062] For example, thermal power unit data can be obtained from the power plant.

[0063] (3) Acquire energy storage data.

[0064] The energy storage data specifically includes: upper limit of energy storage charging power, upper limit of energy storage discharging power, energy storage charging efficiency, energy storage discharging efficiency, upper limit of energy storage capacity, lower limit of energy storage capacity, unit operating loss of energy storage, rated power of energy storage, energy storage ramp-up capacity and ramp-down capacity, and energy storage capacity.

[0065] And to obtain the upward and downward safety margin contribution values ​​reserved by the target power grid system for new energy sources and loads;

[0066] For example, energy storage data can be obtained from an energy storage power station.

[0067] Step S11 provides the data required to calculate the system's ramp-up requirements and the parameter data needed to construct a collaborative optimization model for electrical energy and flexible ramp-up.

[0068] Step S12: Based on the day-ahead power system operation data, calculate the deterministic and non-deterministic ramp-up requirements of the power system.

[0069] Flexible ramping service refers to the active power output service provided by dispatchable resources in response to short-term and significant changes in system load or new energy output according to dispatch instructions, with a high rate of adjustment. Dispatchable resources such as thermal power units and energy storage provide flexible ramping service by reserving ramping capacity in advance, and the ramping demand is calculated to determine how much ramping capacity the system needs.

[0070] System ramping requirements are divided into uphill ramping requirements and downhill ramping requirements, both of which consist of deterministic ramping requirements and uncertain ramping requirements.

[0071] The challenges posed by renewable energy sources or loads to power system operation mainly stem from their inherent volatility and uncertainty. Volatility refers to the random changes in renewable energy output or load over a period of time, while uncertainty refers to the error between the predicted and actual values ​​of renewable energy output or load. Deterministic ramp-up requirements address volatility, while uncertain ramp-up requirements address uncertainty.

[0072] (1) Calculate the deterministic ramping requirements of the system.

[0073] Deterministic ramp-up demand refers to the power regulation capacity that a power system needs to reserve in order to cope with foreseeable net load fluctuations.

[0074] The deterministic climbing requirements are as follows:

[0075]

[0076] in, and These represent the deterministic uphill and downhill requirements for system time period t, respectively; L t Lt+1 represent the predicted net loads of the system at time periods t and t+1, respectively; J is the set of loads; P j,t Let be the predicted value of load j in time period t; V be the set of new energy sources; P v,t This represents the predicted output value of the new energy source v during time period t.

[0077] t∈T, where T is the set of time periods; formula and The deterministic ramp-up demand is defined as the change in the system's predicted net load for the next time period compared to the current time period, which is the first-order difference of the system's predicted net load between adjacent time periods.

[0078] (2) Calculate the uncertainty of the system's ramp-up requirements.

[0079] Based on the deterministic climbing requirement, the uncertain climbing requirement is constructed as follows:

[0080]

[0081] in, and These represent the ramp-up and ramp-down demands of the power system under uncertainty in time period t, respectively. and These represent the upward and downward safety margins reserved for system time period t, respectively. and These represent the contribution values ​​of the upward safety margin reserved for load and new energy sources in the power system during time period t; and These represent the contributions of the power system to the downward safety margin reserved for load and renewable energy sources in time period t, respectively; Pj,t+1 P is the predicted value of load j in time period t+1; v,t+1 This represents the predicted output value of the new energy source v in time period t+1; and To pre-set the upper and lower limits of the load j prediction error rate under the preset credit level; and To pre-set the upper and lower limits of the prediction error rate for new energy power output under the given information level.

[0082] The upward and downward safety margins reserved by the power system for new energy sources and loads are the upward and downward safety margins reserved by thermal power units and energy storage for new energy sources and loads. Since there are certain errors in the prediction of new energy generation and load consumption, the power system needs to reserve a portion of thermal power units and energy storage to cope with the prediction errors.

[0083] For example, the upper and lower limits of the prediction error rate of load and renewable energy output are determined based on the upper and lower limits of the average error of the t-period load prediction and renewable energy output prediction in the same month of the previous year and within 15 days before the operation date (selecting an error range with a confidence level between 2.5% and 97.5%, covering an error distribution with a confidence level of 95%).

[0084] Uncertainty ramp-up demand takes into account the forecasting errors of renewable energy output and load.

[0085] Step S13: Calculate the flexible ramping requirements of the power system based on the deterministic and non-deterministic ramping requirements of the power system.

[0086] The deterministic and nondeterministic ramping requirements of the power system include corresponding up-climbing and down-climbing requirements, respectively; the flexible ramping requirements of the power system are as follows:

[0087]

[0088] in, These represent the uphill and downhill demand during time period t. These represent the deterministic uphill and downhill demand for time period t, respectively. and These represent the uncertain uphill and downhill demands of the system during time period t, respectively, where T is the set of time periods.

[0089] The power system flexibility ramping requirement is the sum of deterministic ramping requirement and uncertain ramping requirement.

[0090] The uphill demand during time period t and downhill climbing requirements The parameter is used as the system ramping requirement constraint in the electrical energy and flexible ramping collaborative optimization model constructed in step S2.

[0091] The purpose of step S1 is to obtain the day-ahead power system operation data of the target power grid, and to calculate the deterministic and non-deterministic ramping requirements based on these data, thereby obtaining the flexible ramping requirements of the power system.

[0092] Step S2 includes steps S21-S22.

[0093] The collaborative optimization model of electrical energy and flexible climbing consists of two parts: the constructed objective function and the set constraints.

[0094] The objective function refers to the technical goal to be achieved through optimization, typically maximizing or minimizing the objective expression. Constraints refer to the physical or resource limitations that need to be satisfied during the optimization process, usually expressed in the form of equations or inequalities.

[0095] Step S21: Construct a collaborative optimization model for electrical energy and flexible ramping, with the goal of minimizing the total loss of coal consumption and energy storage operation losses of thermal power units.

[0096] The objective function, which aims to minimize the total loss of coal consumption of thermal power units and energy storage operation losses, is expressed as follows:

[0097]

[0098] Where G is the set of thermal power units; B is the set of output segments of thermal power units; T is the set of time periods; λ i,b P represents the coal consumption of thermal power unit i in section b. i,t,b c is the power generation of thermal power unit i during the b-th output interval of time period t; ess P represents the unit operating loss of energy storage; t,dis P t,ch These represent the discharge power and charging power of the energy storage system during time period t, respectively.

[0099] Step S22: Set the constraints for the collaborative optimization model of electrical energy and flexible hill climbing.

[0100] The constraints set include energy storage operation constraints, system ramping demand constraints, system power balance constraints, thermal power unit operation constraints, thermal power unit flexible ramping capacity constraints, and energy storage flexible ramping capacity constraints.

[0101] Specifically as follows:

[0102] (1) Constraints on energy storage operation.

[0103] The energy storage operation constraints are as follows:

[0104]

[0105] Among them, P ess,max The rated power of the energy storage; u t,disand u t,ch E represents the discharge and charge states of energy storage during time period t, and is a 0-1 variable; t E T+1 These represent the energy stored in time periods t and t+1, respectively; η dis and η ch These are the discharge efficiency and charging efficiency of energy storage, respectively; E min and E max These represent the lower limit and upper limit of energy storage capacity.

[0106] u t,dis +u t,ch ≤1 indicates that the energy storage can only be in one of the states of charging or discharging at the same time.

[0107] For example, the discharge efficiency and charging efficiency of energy storage are typically taken as 0.95.

[0108] (2) System ramp-up requirements constraints.

[0109] The system's ramp-up requirements are constrained as follows:

[0110]

[0111] in, and The uphill ramp capacity and downhill ramp capacity provided for thermal power unit i; and Uphill and downhill capacity provided for energy storage.

[0112] (3) System power balance constraints, as shown below:

[0113]

[0114] Among them, P v,t P is the predicted output value of the new energy source v in time period t; j,t Let be the predicted value of load j in time period t+1.

[0115] The system power balance constraint states that the power system must maintain power balance during operation, that is, the power generation equals the power consumption.

[0116] (4) Operating constraints of thermal power units are as follows:

[0117]

[0118] in, and These are the upper and lower limits of the output of unit i; This represents the upper limit of the output capacity of unit i in section b. and These are the upper limits for the uphill and downhill ramp rates of unit i, respectively; P i,t P i,t-1 These represent the total output of unit i during time periods t and t-1, respectively.

[0119] (5) Thermal power units provide flexible ramping capacity constraints, as shown below:

[0120]

[0121] in, and The uphill and downhill ramp capacity provided for thermal power unit i; ΔP i U ΔP i D These are the upper limits of the uphill and downhill ramp rates for thermal power unit i, respectively.

[0122] (6) Energy storage provides flexible ramp-up capacity constraints, as shown below:

[0123]

[0124] in, and Uphill and downhill capacity provided for energy storage; E t E represents the amount of energy stored during time period t. min This represents the lower limit of energy storage capacity.

[0125] The purpose of step S2 is to construct an optimization model based on the flexible ramping requirements of the power system, with the goal of minimizing the total loss of coal consumption of thermal power units and energy storage operation losses, and to set corresponding constraints.

[0126] Step S3, specifically.

[0127] The power output plan and energy storage charging and discharging scheme of the thermal power unit are obtained by solving the power energy and flexible ramping co-optimization model with a solver based on the set constraints.

[0128] The power output plan of the thermal power unit includes the power generation P of thermal power unit i in the b-th power output interval of time period t. i,t,b ;

[0129] The energy storage charging and discharging scheme includes the energy storage unit operating loss c. ess The discharge power P of the energy storage during time period t t,dis and charging power P t,ch The discharge state u of energy storage during time period t t,dis and charging status u t,ch Energy storage capacity E during time period tt .

[0130] For example, solvers such as Gurobi, CPLEX, MOSEK, or Cedar COPT are used to solve the co-optimization model of electrical energy and flexible climbing.

[0131] The purpose of step S3 is to use solvers such as Gurobi to solve the electrical energy and flexible ramping co-optimization model based on the set constraints, so as to obtain the output plan of thermal power units and the energy storage charging and discharging scheme, which provides guidance for the operation of the target power grid.

[0132] In summary, the method for co-optimizing electrical energy storage and flexible ramping according to an embodiment of the present invention has the following beneficial effects:

[0133] 1. This invention comprehensively considers the participation of thermal power units and energy storage in providing flexible ramping services for the power system. By considering the electrical energy of energy storage and the flexible ramping collaborative optimization method, it can effectively integrate thermal power units and energy storage resources, improve the flexible adjustment capability of the power system, better cope with the volatility and uncertainty of new energy power generation, reduce the amount of wind and solar curtailment and load shedding, and improve the flexibility of the power system.

[0134] 2. This invention constructs an optimization model with the goal of minimizing the total loss of coal consumption of thermal power units and energy storage operation losses, thereby achieving minimum loss operation of thermal power units and energy storage;

[0135] 3. This invention fully considers the volatility and uncertainty of new energy sources, and by optimizing the scheduling of thermal power units and energy storage, it provides more space for the consumption of new energy sources and promotes the consumption of new energy sources.

[0136] 4. By rationally arranging the output plans and charging and discharging schemes of thermal power units and energy storage, this invention ensures the power balance and frequency stability of the power system, improves the safety and reliability of the power system, and enhances the stability of the power system.

[0137] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0138] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for co-optimizing electrical energy and flexible hill climbing considering energy storage, characterized in that, include: Obtain the day-ahead power system operation data of the target power grid; Based on the aforementioned day-ahead power system operation data, calculate the deterministic and non-deterministic ramp-up requirements of the power system; The flexible ramping requirement of the power system is calculated based on the deterministic and non-deterministic ramping requirements of the power system. The deterministic and nondeterministic ramping requirements of the power system include corresponding up-climbing and down-climbing requirements, respectively; the flexible ramping requirements of the power system are as follows: in, , These represent the uphill and downhill demand during time period t. , They are respectively The certainty of uphill and downhill demand during specific time periods; and System time periods Uncertainty regarding uphill and downhill demand. For time periods; The deterministic climbing requirements are as follows: in, , The system in different time periods , +1 to the projected net load; A collection of loads; For load During the period The predicted value; A collection of new energy sources; For new energy During the period The predicted output value; Based on the deterministic climbing requirement, the uncertain climbing requirement is constructed as follows: in, and For the power system during the time period Uncertainty regarding both uphill and downhill demand; and System time periods Reserved upward and downward safety margins; and For the power system during the time period The contribution value of the upward safety margin reserved for load and new energy sources; and For the power system during the time period The contribution value of the downward safety margin reserved for load and new energy sources; For load During the period The predicted value; For new energy During the period The predicted output value; and For the load under the preset signal level Upper and lower limits of prediction error rate; and For new energy under pre-set credit level Upper and lower limits of power output prediction error rate; Based on the aforementioned flexible ramping requirements of the power system, a collaborative optimization model for electrical energy and flexible ramping is constructed with the objective of minimizing the total losses of coal consumption of thermal power units and energy storage operation losses; wherein, the collaborative optimization model for electrical energy and flexible ramping consists of a constructed objective function and set constraints. The constraints set include energy storage operation constraints, system ramping demand constraints, system power balance constraints, thermal power unit operation constraints, thermal power unit flexible ramping capacity constraints, and energy storage flexible ramping capacity constraints. The system's ramp-up requirements are constrained as follows: in, and For thermal power units Provided uphill and downhill capacity; and Uphill and downhill capacity provided for energy storage; The energy storage provides flexible ramp-up capacity constraints, as follows: in, and Uphill and downhill capacity provided for energy storage; For energy storage during the period The amount of electricity; This represents the lower limit of energy storage capacity. The rated power of the energy storage; The discharge efficiency of energy storage; , Energy storage time period The discharge power and charging power; Using a solver, the electrical energy and flexible ramping co-optimization model is solved based on the set constraints to obtain the day-ahead thermal power unit output plan and energy storage charging and discharging scheme.

2. The method for co-optimizing electrical energy and flexible ramping considering energy storage as described in claim 1, characterized in that, The objective function, which aims to minimize the total loss of coal consumption of thermal power units and energy storage operation losses, is expressed as follows: in, A collection of thermal power units; T represents the set of output segments of thermal power units; T represents the set of time periods. For thermal power units In the Coal consumption per unit output; For thermal power units During the period The The power generation capacity of the output range; Operating losses per unit of energy storage; , Energy storage time period The discharge power and charging power.

3. The method for co-optimizing electrical energy and flexible ramping considering energy storage as described in claim 1, characterized in that, The energy storage operation constraints are as follows: in, The rated power of the energy storage; and For energy storage during the period The discharge and charge states are 0-1 variables; , Energy storage time period The amount of electricity at t+1; and These are the discharge efficiency and charging efficiency of energy storage, respectively. and These represent the lower limit and upper limit of energy storage capacity.

4. The method for co-optimizing electrical energy and flexible ramping considering energy storage according to any one of claims 1-3, characterized in that, The power output plan for thermal power units includes thermal power units During the period The Power generation in the output range ; The energy storage charging and discharging scheme includes the unit operating loss of energy storage. Energy storage during the period discharge power and charging power Energy storage during the period discharge state and charging status Energy storage during the period Battery life .

5. The method for co-optimizing electrical energy and flexible ramping considering energy storage according to any one of claims 1-3, characterized in that, The day-ahead power system operation data of the target power grid includes new energy and load data, thermal power unit data and energy storage data; The new energy and load data include new energy output forecasts, load forecasts, new energy output forecast error rates, and load forecast error rates.

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