Power dispatching strategy determination method and device and electronic equipment

Abstract

The invention discloses a power dispatching strategy determination method and device and electronic equipment. The method comprises the following steps: acquiring region parameters of a target power region; according to the region parameters, determining a target function with the purpose of minimizing the power consumption cost of the target power region and a first constraint condition for constraining the target function; and determining a power dispatching strategy corresponding to the target power region according to the target function under the first constraint condition. According to the method and the device, the technical problems that only the adjustable load equipment is adjusted when the power dispatching strategy of the target power area is determined, the number of adjustable resources is small, and the power operation cost is high in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method, device and electronic equipment for determining a power dispatching strategy. Background Art

[0002] Power dispatching is an effective management method to ensure the stable operation of the power grid and the orderly development of various types of power production. At present, the commonly used power dispatching strategy is that load aggregators centrally manage and dispatch adjustable load equipment. However, this power dispatching strategy has the problems of fewer adjustable load equipment and high power operation costs.

[0003] There is no effective solution to the above problems yet. Summary of the invention

[0004] The embodiments of the present invention provide a method, device and electronic device for determining a power dispatching strategy, so as to at least solve the technical problem in the related art that when determining the power dispatching strategy for the target power area, only the adjustable load equipment is adjusted, the available resources are small, and the power operation cost is high.

[0005] According to one aspect of an embodiment of the present invention, a method for determining a power dispatch strategy is provided, including: obtaining regional parameters of a target power area. Based on the regional parameters, an objective function with the goal of minimizing the electricity cost of the target power area and a first constraint condition constraining the objective function are determined, wherein the objective function includes: a dispatch cost function, an equipment operation cost function, the dispatch cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price dispatch contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price dispatch contract, the contract compensation cost item represents the compensation cost after the target object signs the electricity price dispatch contract, and the electricity price dispatch contract It is a contract for adjusting the electricity price for multiple time periods and reducing the scheduled electricity consumption during the peak load period. The peak load period is the period when the load usage exceeds the predetermined load threshold. The multiple time periods include the peak load period. The second cost item represents the cost saved after the implementation of the electricity price dispatch contract compared with the cost before the implementation of the electricity price dispatch contract. The equipment operation cost function includes the fuel cost function, the start-stop cost function and the wind abandonment cost function of the generator set included in the target power area. The first constraint condition includes the power balance constraint of the generator set, the start-stop time constraint of the unit, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint. According to the objective function under the first constraint condition, the power dispatch strategy corresponding to the target power area is determined.

[0006] Optionally, before determining the objective function with the goal of minimizing the electricity cost of the target power area based on the regional parameters, and the first constraint condition constraining the objective function, it also includes: determining the initial electricity price and the electricity price adjustment coefficient of the target power area based on the regional parameters of the target power area. Determine the contract electricity prices corresponding to multiple time periods based on the electricity price adjustment coefficient and the initial electricity price. Determine the first electricity cost function based on the initial electricity price and the initial electricity load function, and determine the second electricity cost function based on the contract electricity price and the contract electricity load function, wherein the initial electricity load is the predicted electricity load before the target object signs the electricity price scheduling contract, and the contract electricity load is the predicted electricity load after the target object signs the electricity price scheduling contract. Determine the difference between the first electricity cost function and the second electricity cost function to obtain the second cost item.

[0007] Optionally, before determining the objective function with the goal of minimizing the electricity cost of the target power area based on the regional parameters, and the first constraint condition constraining the objective function, it also includes: determining the contract electricity prices corresponding to multiple time periods and the power reduction functions corresponding to the target object in multiple time periods based on the regional parameters of the target power area. Determine the contract compensation cost item based on the contract electricity prices corresponding to the multiple time periods and the power reduction functions corresponding to the target object in multiple time periods. Determine the contract compensation amount item obtained after the target object signs the electricity price scheduling contract. Obtain the first cost item based on the contract compensation cost item and the contract compensation amount item.

[0008] Optionally, after determining the objective function with the goal of minimizing the electricity cost of the target power area and the first constraint condition constraining the objective function based on the regional parameters, it also includes: determining the profit function corresponding to the contract object. Based on the objective function and the profit function, determine the balance function and the second constraint condition corresponding to the balance function, wherein the balance function is a function that balances the maximization of the profit of the contract object and the minimization of the electricity cost of the target power area. Under the second constraint condition, solve the balance function to determine the power balance strategy corresponding to the target power area.

[0009] Optionally, determining the profit function corresponding to the contract object includes: determining a predetermined profit rate and a contract compensation function obtained after the target object signs the electricity price dispatch contract. The profit function is determined based on the predetermined profit rate and the contract compensation function.

[0010] Optionally, before determining the first electricity cost function based on the initial electricity price and the initial electricity load function, and determining the second electricity cost function based on the contract electricity price and the contract electricity load function, it also includes: determining the demand price self-elasticity coefficient based on the regional parameters of the target power area. Determine the contract electricity load function based on the demand price self-elasticity coefficient, the initial electricity price, the initial electricity load function and the contract electricity price.

[0011] Optionally, after determining the power dispatch strategy corresponding to the target power area according to the objective function under the first constraint condition, it also includes: controlling the corresponding power equipment in the target power area and setting it with the corresponding power dispatch parameters in the power dispatch strategy.

[0012] According to one aspect of an embodiment of the present invention, a device for determining a power dispatching strategy is provided, including: an acquisition module for acquiring regional parameters of a target power area; a first determination module for determining, based on the regional parameters, an objective function with the goal of minimizing the electricity consumption cost of the target power area, and a first constraint condition for constraining the objective function, wherein the objective function includes: a dispatching cost function, an equipment operation cost function, the dispatching cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price dispatching contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price dispatching contract, and the contract compensation cost item represents the amount of compensation obtained after the target object signs the electricity price dispatching contract Compensation cost, the electricity price dispatch contract is a contract to adjust the electricity price for multiple time periods and reduce the scheduled electricity consumption during the peak load period. The peak load period is the period when the load usage exceeds the preset load threshold. Multiple time periods include the peak load period. The second cost item represents the cost saved after the implementation of the electricity price dispatch contract compared to before the implementation of the electricity price dispatch contract. The equipment operation cost function includes the fuel cost function, start and stop cost function and wind abandonment cost function of the generator sets included in the target power area. The first constraint condition includes the power balance constraint of the generator set, the start and stop time constraint of the unit, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint; the second determination module is used to determine the power dispatch strategy corresponding to the target power area based on the objective function under the first constraint condition.

[0013] According to one aspect of an embodiment of the present invention, there is provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute instructions to implement any of the above-mentioned methods for determining a power dispatching strategy.

[0014] According to one aspect of an embodiment of the present invention, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute any of the above-mentioned methods for determining a power scheduling strategy.

[0015] In an embodiment of the present invention, regional parameters of a target power area are obtained; based on the regional parameters, an objective function with the goal of minimizing the electricity cost of the target power area and a first constraint condition for constraining the objective function are determined, wherein the objective function includes: a scheduling cost function, an equipment operation cost function, the scheduling cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price scheduling contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price scheduling contract, the contract compensation cost item represents the compensation cost after the target object signs the electricity price scheduling contract, and the electricity price scheduling contract is for multiple The power price of the time period is adjusted and the contract for reducing the scheduled power consumption during the peak load period is included. The peak load period is the period when the load cost exceeds the predetermined load threshold. Multiple time periods include the peak load period. The second cost item represents the cost saved after the implementation of the power price dispatch contract compared with the cost before the implementation of the power price dispatch contract. The equipment operation cost function includes the fuel cost function, the start-stop cost function and the wind abandonment cost function of the generator set included in the target power area. The first constraint condition includes the power balance constraint of the generator set, the start-stop time constraint of the unit, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint; according to the objective function under the first constraint condition, the power dispatch strategy corresponding to the target power area is determined. It can be seen that the present invention achieves the purpose of minimizing the power cost of the target power area by determining the objective function with the goal of minimizing the power cost of the target power area according to the regional parameters, and the first constraint condition constraining the objective function. Since the objective function is composed of the equipment operation cost function of the power system in the target power area and the dispatching cost function of the power system, and takes into account the power of the power system generator set, the start and stop time and other constraints, the power dispatching strategy of the target power area determined by the objective function can minimize the electricity cost while meeting the electricity demand of the target power area, thereby solving the technical problem in the related technology that when determining the power dispatching strategy of the target power area, only the adjustable load equipment is adjusted, the available resources are small, and the power operation cost is high. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 is a flow chart of a method for determining a power dispatching strategy according to an embodiment of the present invention;

[0018] Figure 2 4 is a structural block diagram of a device for determining a power dispatching strategy according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the strategies of the present invention, the technical strategies in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0020] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0021] Example 1

[0022] According to an embodiment of the present invention, an embodiment of a method for determining a power dispatching strategy is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0023] Figure 1 is a flow chart of a method for determining a power dispatching strategy according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0024] Step S102, obtaining the area parameters of the target power area.

[0025] In step S102 provided in the present application, the regional parameters of the target power area are obtained.

[0026] Among them, the target power area is involved. The target power area refers to a specific geographical area in the power system, which is composed of specific busbars, substations or distribution networks.

[0027] Among them, regional parameters are involved. Regional parameters refer to various data and indicators related to the operating status, load characteristics, power generation and transmission capacity, and system flexibility of the target power area, such as power demand in the region, total power generation potential of all power generation units in the region, distributed power source information, etc.

[0028] In this step, the regional parameters of the target power area are obtained, which is a basic step for determining the objective function corresponding to the target power area.

[0029] It should be noted that regional parameters can be obtained through a variety of means such as sensors, metering equipment, historical databases and prediction models.

[0030] Step S104, based on the regional parameters, determine the objective function with the goal of minimizing the electricity cost of the target power area, and the first constraint condition constraining the objective function, wherein the objective function includes: a dispatching cost function, an equipment operation cost function, the dispatching cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price dispatch contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price dispatch contract, the contract compensation cost item represents the compensation cost after the target object signs the electricity price dispatch contract, and the electricity The price dispatch contract is a contract for adjusting the electricity price for multiple time periods and reducing the scheduled electricity consumption during the peak load period. The peak load period is the period when the load usage exceeds the predetermined load threshold. The multiple time periods include the peak load period. The second cost item represents the cost saved after the implementation of the electricity price dispatch contract compared with the cost before the implementation of the electricity price dispatch contract. The equipment operation cost function includes the fuel cost function of the generator sets included in the target power area, the start and stop cost function and the wind abandonment cost function. The first constraint condition includes the power balance constraint of the generator set, the start and stop time constraint of the generator set, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint.

[0031] In step S104 provided in the present application, an objective function aiming at minimizing the electricity cost in the target power area and a first constraint condition constraining the objective function are determined based on the regional parameters.

[0032] Among them, the electricity cost is involved. The electricity cost refers to all costs paid to meet the electricity demand of the target power area, such as power generation cost, transmission and distribution cost, grid upgrade and expansion cost, power system dispatching cost, etc.

[0033] Among them, the objective function is involved. The objective function is used to describe the specific goal or set of goals that need to be achieved in the optimization problem. Under the premise of satisfying a series of constraints, a set of decision variable values ​​is found so that the objective function reaches the optimal value.

[0034] Among them, the first constraint condition is involved. The first constraint condition refers to a series of constraints that must be met when planning the power dispatching strategy, including the power balance constraint of the generator set, the start and stop time constraint of the unit, the output constraint of the generator set, the output constraint of the standby unit, and the object power reduction constraint.

[0035] Among them, the dispatching cost function is involved, which refers to the function of various direct and indirect costs brought about by power dispatching operations.

[0036] Among them, the equipment operation cost function is involved, which refers to the function of the direct and indirect costs generated in the power generation process.

[0037] Among them, the first cost item is involved, which refers to the cost incurred by signing an electricity price dispatch contract with the target object during the power dispatch process. It includes the contract compensation amount item and the economic compensation amount item for the target object.

[0038] Among them, the second cost item is involved. The second cost item refers to the cost reduction after the implementation of the contract electricity price in the electricity price scheduling contract compared to the implementation of the initial electricity price.

[0039] Among them, the target object is involved, and the target object refers to the electricity user who has signed the electricity price dispatch contract.

[0040] Among them, the electricity price dispatch contract is involved. The electricity price dispatch contract refers to an electricity market tool that guides users to adjust their electricity usage behavior by setting electricity prices for different time periods and reducing the scheduled electricity consumption during peak load periods, thereby achieving load peak shaving and valley filling and optimizing the balance of electricity supply and demand.

[0041] Among them, the contract compensation amount item is involved. The contract compensation amount item refers to the cost incurred by the power system in setting the compensation amount in order to encourage the target objects to reduce electricity consumption during peak load periods during the implementation of the electricity price scheduling contract.

[0042] Among them, the contract compensation cost item is involved. The contract compensation cost item refers to the cost incurred due to the target object's reduced electricity consumption during the implementation of the electricity price scheduling contract.

[0043] Among them, the peak load period is involved, which refers to the time period when electricity demand exceeds the average or set threshold.

[0044] Among them, the scheduled electricity consumption is involved. The scheduled electricity consumption refers to the electricity consumption that needs to be reduced according to the electricity price scheduling contract in order to reduce the load on the power system during peak electricity consumption periods.

[0045] Among them, load cost is involved, which refers to the consumption or usage of electricity.

[0046] Among them, a predetermined load threshold is involved, and the predetermined load threshold refers to the maximum power consumption of the target power area at a certain moment, which is preset according to the regional parameters of the target power area.

[0047] Among them, generator sets are involved. Generator sets refer to equipment that can convert mechanical energy or other forms of energy into electrical energy.

[0048] Among them, the fuel cost function is involved. The fuel cost function refers to the function of the cost incurred by burning fuel in the power generation process. Its value depends on factors such as power generation, fuel type, fuel price and efficiency of the generator set.

[0049] Among them, the start-stop cost function is involved. The start-stop cost function refers to the cost function required for the generator set to switch from the shutdown state to the running state, or from the running state to the shutdown state. The start-stop cost is related to the physical characteristics of the equipment and the start-stop frequency.

[0050] Among them, the wind abandonment cost function is involved. The wind abandonment cost function refers to the cost function of the power generation abandoned due to the inability of the power system to fully absorb the renewable energy generation. It is usually related to the system's dispatching strategy, the accuracy of renewable energy generation forecasts, and the transmission capacity of the power grid.

[0051] Among them, the power balance constraint is involved. The power balance constraint means that the total power generation power of the power system at any time must be equal to the total power demand power, that is, the total output power of all generators is equal to the total power demand of all loads plus network losses.

[0052] Among them, the unit start and stop time constraints are involved. The unit start and stop time constraints refer to the constraints set to ensure that the start and stop operations of the generator set comply with specific time rules, avoid damage to the equipment, and ensure stable operation of the system, including minimum start time constraints and minimum shutdown time constraints. That is, once the generator set is started, it must run continuously for at least a predetermined minimum period of time. After the generator set is shut down from the running state, it must remain in the shutdown state for at least a predetermined minimum period of time to prevent equipment loss caused by frequent start and stop.

[0053] Among them, the generator set output constraints are involved. The generator set output constraints refer to the minimum and maximum output power of each generator set in each scheduling period.

[0054] Among them, the output constraints of the standby units are involved. The output constraints of the standby units refer to the minimum and maximum standby power that the standby units can provide in each scheduling period.

[0055] Among them, the object power reduction constraint is involved, which refers to the upper and lower limits of the amount of power that can be reduced for the target object within a specific period of time. This is to ensure the flexibility of power system scheduling and avoid causing excessive inconvenience to users.

[0056] In this step, based on the regional parameters of the target power area, an objective function with the goal of minimizing the electricity cost of the target power area and a first constraint condition constraining the objective function are determined.

[0057] In this way, the objective function is determined by comprehensively considering the costs brought by the electricity price dispatch contract and the direct costs of the operation of the power generation equipment, which can achieve the optimization of economic costs while ensuring the safe operation of the power system and the balance of electricity supply and demand.

[0058] Among them, step S106 is involved, in which a power dispatching strategy corresponding to the target power area is determined according to the objective function under the first constraint condition.

[0059] In step S106 provided in the present application, a power dispatching strategy corresponding to the target power area is determined according to the objective function under the first constraint condition.

[0060] Among them, the power dispatching strategy is involved. The power dispatching strategy refers to how to arrange the operation plan of the power generation unit, adjust the load, allocate spare resources and respond to the fluctuation of renewable energy power generation under the given objective function and constraint framework.

[0061] Through the above steps S102-S106, the regional parameters of the target power area are obtained. According to the regional parameters, an objective function with the goal of minimizing the electricity cost of the target power area and a first constraint condition constraining the objective function are determined, wherein the objective function includes: a dispatching cost function, an equipment operation cost function, the dispatching cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price dispatch contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price dispatch contract, the contract compensation cost item represents the compensation cost after the target object signs the electricity price dispatch contract, and the electricity price dispatch contract It is about a contract to adjust the electricity price of multiple time periods and reduce the scheduled electricity consumption during the peak load period. The peak load period is the period when the load cost exceeds the predetermined load threshold. Multiple time periods include the peak load period. The second cost item represents the cost saved after the implementation of the electricity price dispatch contract compared to before the implementation of the electricity price dispatch contract. The equipment operation cost function includes the fuel cost function, the start and stop cost function and the wind abandonment cost function of the generator set included in the target power area. The first constraint condition includes the power balance constraint of the generator set, the start and stop time constraint of the unit, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint. According to the objective function under the first constraint condition, the power dispatch strategy corresponding to the target power area is determined. It can be seen that the present invention achieves the purpose of minimizing the electricity cost of the target power area by determining the objective function with the goal of minimizing the electricity cost of the target power area according to the regional parameters, and the first constraint condition constraining the objective function. Since the objective function is composed of the equipment operation cost function of the power system in the target power area and the dispatching cost function of the power system, and takes into account the power of the power system generator set, the start and stop time and other constraints, the power dispatching strategy of the target power area determined by the objective function can minimize the electricity cost while meeting the electricity demand of the target power area, thereby solving the technical problem in the related technology that when determining the power dispatching strategy of the target power area, only the adjustable load equipment is adjusted, the available resources are small, and the power operation cost is high.

[0062] As an optional embodiment, before determining the objective function with the goal of minimizing the electricity cost of the target power area based on the regional parameters and the first constraint condition constraining the objective function, it also includes: determining the initial electricity price and the electricity price adjustment coefficient of the target power area based on the regional parameters of the target power area. Determine the contract electricity prices corresponding to multiple time periods based on the electricity price adjustment coefficient and the initial electricity price. Determine the first electricity cost function based on the initial electricity price and the initial electricity load function, and determine the second electricity cost function based on the contract electricity price and the contract electricity load function, wherein the initial electricity load is the predicted electricity load before the target object signs the electricity price scheduling contract, and the contract electricity load is the predicted electricity load after the target object signs the electricity price scheduling contract. Determine the difference between the first electricity cost function and the second electricity cost function to obtain the second cost item.

[0063] In this embodiment, specific steps of determining an objective function with the goal of minimizing the electricity cost of a target power area based on regional parameters and determining a second cost item before constraining the objective function with a first constraint condition are described.

[0064] Among them, the initial electricity price is involved. The initial electricity price refers to the electricity price level set by the power market or power company before signing the electricity price dispatch contract. This is the basis of the electricity price dispatch contract, and the subsequent contract electricity price will be adjusted on this basis.

[0065] Among them, the electricity price adjustment coefficient is involved. The electricity price adjustment coefficient refers to the parameter used to adjust the initial electricity price in the power dispatching strategy.

[0066] Among them, the contract electricity price is involved. The contract electricity price refers to the electricity price level set by the power company in the electricity price dispatch contract to encourage users to adjust their electricity consumption behavior. Compared with the initial electricity price, the contract electricity price will increase during peak hours and decrease during off-peak hours to achieve the purpose of peak shaving and valley filling and optimize electricity supply and demand.

[0067] Among them, the initial electricity load function is involved. The initial electricity load function refers to the electricity load function expected for users in the target power area in each period before signing the electricity price scheduling contract.

[0068] Among them, the first electricity cost function is involved. The first electricity cost function refers to the total cost function of the power system calculated based on the initial electricity price and the initial electricity load function, which reflects the electricity cost of the power system when the optimization strategy is not implemented.

[0069] Among them, the contract electricity load function is involved. The contract electricity load function means that after the electricity price scheduling contract is signed, the electricity load in the target power area will be directly affected by the contract electricity price, thereby generating an adjusted expected electricity load function.

[0070] Among them, the second electricity cost function is involved. The second electricity cost function refers to the total cost function of the power system calculated based on the contract electricity price and the contract electricity load function, which reflects the electricity cost after the implementation of the electricity price scheduling optimization strategy.

[0071] In this step, firstly, based on the regional parameters of the target power area, the initial electricity price and electricity price adjustment coefficient of the area are determined. The electricity price adjustment coefficient can adjust the electricity prices in different time periods. Secondly, according to the electricity price adjustment coefficient and the initial electricity price, the contract electricity price after the electricity price scheduling contract is implemented in each time period is calculated, and the adjustment of electricity prices in multiple time periods is completed, guiding users to increase electricity consumption in periods with lower electricity prices and reduce electricity consumption in periods with higher electricity prices, thereby reducing the operating cost of the power system. Afterwards, based on the initial electricity price and the initial electricity load function, the electricity cost when no scheduling strategy is implemented is calculated, and the electricity cost after the scheduling strategy is implemented is calculated using the contract electricity price and the contract electricity load function. Finally, by comparing the first electricity cost function and the second electricity cost function, the cost saved after the implementation of the power scheduling strategy is determined.

[0072] Through this step, the second cost item is calculated, which can directly quantify the economic benefits brought about by adjusting electricity prices in different time periods and guiding users to use electricity off-peak during the implementation of the electricity price scheduling strategy. By subsequently determining the electricity scheduling strategy, this part of the economic benefits can be maximized.

[0073] As an optional embodiment, before determining the objective function with the goal of minimizing the electricity cost of the target power area based on the regional parameters, and the first constraint condition constraining the objective function, it also includes: determining the contract electricity prices corresponding to multiple time periods and the power reduction functions corresponding to the target object in multiple time periods based on the regional parameters of the target power area. Determine the contract compensation cost item based on the contract electricity prices corresponding to the multiple time periods and the power reduction functions corresponding to the target object in the multiple time periods. Determine the contract compensation amount item obtained after the target object signs the electricity price scheduling contract. Obtain the first cost item based on the contract compensation cost item and the contract compensation amount item.

[0074] In this embodiment, specific steps of determining an objective function with the goal of minimizing the electricity cost of a target power area based on regional parameters and determining a first cost item before constraining the objective function by a first constraint condition are described.

[0075] Among them, the power reduction function is involved, which refers to the function that describes the predicted reduction in power load of the target object in each time period after signing the electricity price dispatch contract, compared with the predicted reduction in power load when no contract was signed.

[0076] In this step, firstly, based on the regional parameters of the target power area, the contract electricity price for each time period and the power reduction function of the target object are determined. Both the contract electricity price and the power reduction are intended to guide the target object to reduce electricity consumption during periods with higher electricity prices, thereby alleviating the load pressure on the power system; secondly, based on the contract electricity price for each time period and the power reduction function for the corresponding time period, the contract compensation cost item is determined. The contract compensation cost item is the cost incurred due to the adjustment of the target object's electricity price and power reduction after the implementation of the electricity price dispatch contract; then, the contract compensation amount item obtained after the target object signs the electricity price dispatch contract is determined. Finally, the first cost item is obtained based on the contract compensation cost item and the contract compensation amount item.

[0077] Through this step, the total dispatch cost generated by executing the electricity price dispatch contract is determined. By subsequently determining the power dispatch strategy, designing a reasonable contract electricity price and reducing power function, the cost of the entire dispatch process can be minimized and the total electricity cost can be saved.

[0078] As an optional embodiment, after determining the objective function with the goal of minimizing the electricity cost of the target power area and the first constraint condition constraining the objective function based on the regional parameters, it also includes: determining the profit function corresponding to the contract object. Based on the objective function and the profit function, determine the balance function and the second constraint condition corresponding to the balance function, wherein the balance function is a function that balances the maximization of the profit of the contract object and the minimization of the electricity cost of the target power area. Under the second constraint condition, solve the balance function to determine the power balance strategy corresponding to the target power area.

[0079] In this embodiment, the steps of determining an objective function whose goal is to minimize the electricity cost of a target power area based on regional parameters, and solving a balance function under a second constraint to determine a power balance strategy corresponding to the target power area after constraining the objective function under a first constraint are described.

[0080] This involves establishing a contract object, which refers to the entity that formulates a power dispatching contract and provides power resources.

[0081] Among them, the profit function is involved, which refers to a function that describes the profit or income of the contract object after the target object signs the power dispatching contract.

[0082] Among them, the balance function is involved. The balance function refers to the function used to coordinate the interests of different participants in electricity market scheduling.

[0083] Among them, the second constraint is involved, which refers to the additional restrictions that must be followed when designing the power balancing strategy, namely, maximizing the profitability of the contract object while minimizing the electricity cost of the target power area.

[0084] In this step, first, determine the profit function corresponding to the contract object; secondly, determine the balance function and the second constraint corresponding to the balance function based on the objective function and the profit function. The balance function and the second constraint corresponding to it are determined so that the goal of power dispatch optimization is expanded to find a balance point between maximizing the profit of the contract object and minimizing the cost of the power system; finally, solve the balance function under the second constraint to determine the power balance strategy corresponding to the target power area. The power balance strategy obtained by this step can significantly reduce the operating cost of the power system, while ensuring that the contract object is reasonably profitable and maximizing the economic benefits.

[0085] As an optional embodiment, determining the profit function corresponding to the contract object includes: determining a predetermined profit rate and a contract compensation function obtained after the target object signs the electricity price dispatch contract. The profit function is determined based on the predetermined profit rate and the contract compensation function.

[0086] In this embodiment, the specific steps of determining the profit function corresponding to the established contract object are described.

[0087] Among them, the predetermined profit margin is involved. The predetermined profit margin is the profit target ratio set by the contract object on the basis of cost.

[0088] Among them, the contract compensation function is involved. The contract compensation function is a mathematical model used to describe the amount of compensation obtained by the target object due to signing a power dispatching contract.

[0089] In this step, first, determine the predetermined profit rate and the contract compensation function obtained after the target object signs the electricity price dispatch contract, that is, establish the contract object to determine the expected profit level from the electricity price dispatch contract, and calculate the amount of compensation that the target object should receive for participating in the contract. Then, determine the profit function based on the predetermined profit rate and the contract compensation function. By designing a reasonable profit function, it can ensure that while providing sufficient economic incentives for the target object to participate in electricity price dispatch, it can also maintain its own profit goals.

[0090] As an optional embodiment, before determining the first electricity cost function based on the initial electricity price and the initial electricity load function, and determining the second electricity cost function based on the contract electricity price and the contract electricity load function, it also includes: determining the demand price self-elasticity coefficient based on the regional parameters of the target power area. Determine the contract electricity load function based on the demand price self-elasticity coefficient, the initial electricity price, the initial electricity load function and the contract electricity price.

[0091] In this embodiment, the specific steps of determining the contract electricity load function are as follows: determining the first electricity cost function based on the initial electricity price and the initial electricity load function, and determining the second electricity cost function based on the contract electricity price and the contract electricity load function.

[0092] Among them, the demand price self-elasticity coefficient is involved. The demand price self-elasticity coefficient refers to a numerical value used to quantify the relationship between the change in electricity prices and the change in electricity demand, and measures the sensitivity of electricity demand to changes in electricity prices.

[0093] In this step, first, the demand price self-elasticity coefficient is determined, and the relationship between the change in electricity price and the change in electricity demand is determined. Then, the contract electricity load function is determined based on the demand price self-elasticity coefficient, the initial electricity price, the initial electricity load function and the contract electricity price.

[0094] Through this step, the contract electricity load function can be accurately predicted, which can better arrange power generation resources, avoid excessive power generation during peak hours and waste of resources during non-peak hours, and save power generation costs.

[0095] As an optional embodiment, after determining the power dispatching strategy corresponding to the target power area based on the objective function under the first constraint condition, it also includes: controlling the corresponding power equipment in the target power area and setting it with the corresponding power dispatching parameters in the power dispatching strategy.

[0096] In this embodiment, the step of adjusting the power dispatching parameters after determining the power dispatching strategy corresponding to the target power area according to the objective function under the first constraint condition is described.

[0097] Among them, power equipment is involved, which refers to various equipment in the power system, such as generators, transformers, circuit breakers, load controllers, energy storage devices, smart meters, etc. These devices are the physical basis for the operation of the power system, and the implementation of the power dispatching strategy needs to be achieved by adjusting the operating status of these devices.

[0098] Among them, power dispatching parameters are involved. Power dispatching parameters refer to specific quantitative indicators of power dispatching strategies, including the output of generator sets, dispatching instructions for load management, charging and discharging plans for energy storage equipment, and operating modes of substation facilities.

[0099] In this step, the power equipment in the target power area is controlled according to the parameters set in the power dispatch strategy. In this way, the operation of the power equipment can be precisely controlled to meet the power demand of the target power area, while reducing unnecessary power generation costs, increasing the absorption ratio of renewable energy such as wind power, and reducing overall power generation costs.

[0100] Based on the above embodiments and optional embodiments, an optional implementation is provided, which is described in detail below.

[0101] In an optional implementation manner of the present invention, a method for determining a power dispatching strategy is provided, which is applied to a regional scope involved in power equipment connected to the same bus.

[0102] First, the peak-valley-flat electricity price is used to optimize the peak-valley-flat curve of some busbar load situation prediction curves. In this way, the peak value of some busbar load situation curves can be reduced, the valley value can be increased, and the load standard deviation can be reduced, thereby playing the role of peak shaving and valley filling.

[0103] The peak, valley and flat electricity prices are considered to control the time of users' electricity consumption by adjusting the price of electricity used by users. During the peak period of electricity consumption, the electricity price is increased by a certain ratio based on the basic electricity price. During the trough period of electricity consumption, the electricity price is reduced by a certain ratio based on the basic price. During the level consumption period, the electricity can be sold at the basic electricity price, and the peak period and valley period are respectively sold at a ratio that is consistent with the basic electricity price. This can achieve the effect of optimizing the load curve, reduce the load standard deviation, and better play the role of peak shaving and valley filling.

[0104] Secondly, introduce load aggregators (LA) to establish load reduction contracts. After optimizing the load curve, the peak-valley-flat electricity price allows electricity users to make corresponding adjustments according to their own plans during peak and valley periods, bringing reasonable arrangements for the power system to reduce the burden, but it will not completely achieve the desired peak reduction. By introducing load aggregators (LA) to establish load reduction contracts, the load during peak periods can be further reduced.

[0105] Finally, a day-ahead scheduling model is developed to achieve cost savings.

[0106] It should be noted that the dispatching system in the power system related to the day-ahead dispatching model is first based on meeting the user's load demand, and then establishing constraints such as supply and demand balance constraints, spare capacity, and system power balance, ultimately minimizing the cost of power system operation.

[0107] With the improvement of people's living standards in recent years, the capacity of the power grid is gradually expanding, and the demand for power supply and the reliability of power supply are also increasing. It is becoming more and more important to formulate a reasonable dispatch optimization model. The operating costs of traditional power systems only consider the output costs of conventional units, and now the addition of new energy has increased the difficulty. The traditional goal of minimizing the cost of conventional units can no longer meet the current situation. Therefore, the optional implementation method of the present invention considers the access of new energy to the power grid. When formulating the day-ahead dispatch model, it considers the cost of wind abandonment, the cost of starting and stopping conventional units, the cost of power generation fuel, and the use of peak-valley flat electricity prices and load aggregators to minimize the compensation profit to perform optimization modeling.

[0108] The method of the optional implementation mode of the present invention obtains the bus load prediction curve based on the bus load situation prediction method and the prediction result, and optimizes it by using the energy storage system, so as to combine the total load situation of each bus in each area and adopt its peak, valley and flat electricity price to optimize the characteristics of the load prediction curve, and also make up for the disadvantage that the load aggregator can only eliminate the peak. Therefore, the load aggregator and the peak, valley and flat electricity price are combined to optimize the total load situation curve, which effectively reduces the standard deviation of the total load curve and the load peak-valley difference, and on the basis of ensuring the safety, stability and reliability of the power system, establishes a day-ahead power dispatching model, and the load aggregator and the peak, valley and flat electricity price are coordinated to participate in the dispatching, which reduces the cost of operating the power system generator set, realizes the reasonable arrangement of the unit output of the power grid dispatching, and maximizes the resource utilization.

[0109] Specifically, the steps of the power dispatch strategy determination method provided in the optional implementation mode of the present invention include:

[0110] S1. Determine the peak, valley and flat electricity prices.

[0111] The model for determining the contract electricity price is expressed as follows:

[0112] d t =d0(1+u t β d )

[0113] Among them, d t is the electricity price at time t; d0 is the basic electricity price; u t β is the parameter adjusted on the basis of the basic electricity price during the peak and valley periods, and takes 1, 0, and -1 during the peak, normal, and valley periods respectively; d It is the fluctuation ratio of time-of-use electricity price.

[0114] S2. Determine the second cost item.

[0115] The specific steps are as follows:

[0116] A1. Determine the first electricity cost function:

[0117] The electricity revenue of the system operator before the implementation of peak-valley flat electricity price C before,TOU,t for:

[0118] C before,TOU,t =d0P B,t

[0119] Among them, P B,t It is the electricity load at time t before the implementation of peak-valley-flat electricity prices.

[0120] A2. Determine the contract electricity load function:

[0121] Determine the price elasticity coefficient of demand ε:

[0122]

[0123] Among them, P B,TOU,t The electricity load at time t after the peak, valley and flat electricity prices are formulated.

[0124] After the implementation of peak-valley-flat electricity prices, the user load function becomes:

[0125]

[0126] A3. Determine the second electricity cost function:

[0127] After implementing the peak-valley flat electricity price, the system operator charges an electricity price C later.TOU.t for:

[0128] C later.TOU.t =d t P B,TOU,t

[0129] A4. Determine the second cost item:

[0130] The cost of the system operator, that is, the change in electricity revenue before and after the implementation of the peak-valley flat electricity price C TOU,t , expressed as:

[0131] C TOU,t =C before,TOU,t -C later.TOU.t

[0132] S2. Determine the first cost item.

[0133] When load aggregators participate in the power system dispatch, there will definitely be certain costs. When load aggregators participate in the power market and execute the reduction contract, there will be certain costs. The specific steps for calculating it are as follows:

[0134] B1. Determine the contract compensation amount.

[0135] To arrange the power system dispatch plan according to the specified contract, we must first set the load aggregator to obtain the reduction contract compensation amount C for the nth user during the transaction. ef,LA,n,t yes:

[0136]

[0137] Among them, w 1n It is the quadratic coefficient of the compensation amount received by the nth user, w 2n It is expressed as the linear coefficient of the compensation amount received by the nth user, P LA,n,t It is represented by the power reduction value of the nth user at time t when executing the load aggregator (LA)'s reduction contract. It takes 1 when executed and 0 when not executed.

[0138] B2. Determine the first cost item:

[0139]

[0140] Among them, C LA,t represents the cost of the load aggregator in executing the reduction contract, i represents the number of users who have signed the contract with the load aggregator, and C ef,LA,t Represents the amount of contract compensation received by all users.

[0141] S3. Determine the scheduling cost function.

[0142] The cost of the dispatch system C is obtained by adding the change in the electricity price of the contract to the cost of the aggregator to execute the reduction contract. LA,TOU,t :

[0143] C LA,TOU,t =C TOU,t +C LA,t

[0144] S4. Determine the equipment operation cost function.

[0145] C1. Determine the total cost objective function of power generation:

[0146] Fuel cost of conventional units C coal.g as follows:

[0147]

[0148] Among them, θ coal Expressed as the cost of conventional unit fuel, u j,t It is represented as a 0-1 variable of the operating state of conventional unit j at time t, where 1 represents the start state and 0 represents the shutdown state; P j,t is the output of conventional unit j at time t, T is the total period, N g is the total number of units.

[0149] f j (P j,t ) is the energy consumption characteristic curve of conventional units:

[0150]

[0151] Among them, parameter a j 、b j 、c j is the output coefficient of conventional units.

[0152] C2. Determine the start-up and shutdown costs of conventional units on,off,g :

[0153] C on,off,g =u j,t (1-u j,t-1 )S on,t +u j,t-1 (1-u j,t )S off,t

[0154] Among them, S on,t and S off,t are the startup cost and shutdown cost of unit j respectively.

[0155] C3. Determine the wind curtailment cost of conventional units:

[0156] First, in order to ensure that wind turbines are connected to the grid before conventional turbines and improve wind power utilization, the system wind abandonment cost C is introduced. w , whose model is:

[0157]

[0158] Among them, θ ws is the penalty price for wind abandonment, indicating the permissible range of wind abandonment in the power system; P pre,w,t is the predicted wind power output at time t; P w,t is the actual wind power output at time t; T is the total time period.

[0159] C4. Determine the equipment operation cost function C G :

[0160] C G =C coal.g +C on,off,g +C w +C LA,TOU,t

[0161] S5. Determine the objective function C.

[0162] In order to maximize resource utilization and reasonably allocate unit output, set:

[0163] minC=min(C G )

[0164] Solving minC can obtain the optimal power dispatch strategy.

[0165] S6. Determine constraints.

[0166] However, when solving the objective function and determining the power dispatch strategy with the lowest cost, the actual situation must also be taken into consideration, such as the actual operating conditions of the generator set, the user experience, etc., and a series of constraints need to be determined.

[0167] D1. Power balance constraints:

[0168]

[0169] D2. Unit start and stop time constraints:

[0170] u j,t (1-u j,t+1 )M on,j ≤X on,j,t

[0171] u j,t+1 (1-u j,t )M off,j ≤X off,j,t

[0172] Among them, X on,j,t It is expressed as the continuous operation time of unit j, X off,j,t It is expressed as the continuous shutdown time of unit j; M on,j It is expressed as the minimum operating time of unit j in the setting, M off,j represents the minimum downtime set for unit j.

[0173] D3. Determine the constraints of conventional units:

[0174] u j,t P min,j ≤P j,t ≤u j,t P max,j

[0175]

[0176] Among them, P min,j , P max,j are the minimum and maximum output of conventional unit j, It is the range of variation of the allowable ramp power of thermal power units between two adjacent time periods.

[0177] D4. System backup constraints:

[0178]

[0179] Among them, R ds,t represents the required downspin reserve capacity of the system at time t, R ts,t Represents the upper spinning reserve capacity required by the system at time t.

[0180] D5. Add upper and lower constraints to LA.

[0181] Since the load aggregator is dealing with users, the reduction ratio should be set according to the user satisfaction level and should not exceed a certain upper and lower limit. Therefore, the reduction scheduling ratio P of a single user LA,n,t for:

[0182] P LA,n,t ≤σP max,B,i,t

[0183] Among them, σ represents the limited proportionality coefficient, P max,B,i,t Represents the maximum load of user i before optimization.

[0184] S6. Determine the profit function.

[0185] At the same time, it should be noted that load aggregators need to obtain a certain amount of profit when participating in the power system. The profit amount C cf,LA,t for:

[0186]

[0187] Where λ is the profit margin to be harvested, which is a parameter determined in advance by the system operator and the LA.

[0188] S7. Determine a power dispatching strategy corresponding to the target power area according to the objective function under the first constraint condition.

[0189] Among them, the objective function is the above-mentioned objective function with the goal of minimizing the electricity cost of the target power area, and the first constraint is the above-mentioned first constraint for constraining the objective function, that is, the objective function includes the above-mentioned: scheduling cost function, equipment operation cost function, the scheduling cost function includes the first cost item and the second cost item, the equipment operation cost function includes the fuel cost function of the generator set included in the above-mentioned target power area, the start-stop cost function and the wind abandonment cost function, the first constraint includes the power balance constraint of the above-mentioned generator set, the unit start-stop time constraint, the generator set output constraint, the standby unit output constraint and the object power reduction constraint.

[0190] Furthermore, a balance function can be established.

[0191] S8. Determine a balance function and a second constraint condition corresponding to the balance function according to the objective function and the profit function, wherein the balance function is a function for balancing the maximum profit of the contract object and minimizing the electricity cost of the target power area;

[0192] S9, solving the balance function under the second constraint condition to determine a power balance strategy corresponding to the target power area.

[0193] Through the above optional implementation, at least the following beneficial effects can be achieved:

[0194] (1) Using the peak-valley-flat electricity price to optimize the peak-valley-flat curve of some busbar load situation prediction curves can reduce the peak value of some busbar load situation curves, increase the valley value, and reduce the load standard deviation, thereby playing the role of peak shaving and valley filling;

[0195] (2) After optimizing the load curve, the peak-valley-flat electricity price allows electricity users to make corresponding adjustments according to their own plans during peak and valley periods, which can reduce the burden on the power system by reasonably arranging units. However, it will not completely reduce the peak value. By introducing load aggregators LA to establish load reduction contracts, the load during peak periods can be further reduced.

[0196] (3) The traditional power system operating costs only consider the output costs of conventional units, but the addition of new energy sources has increased the difficulty. The traditional goal of minimizing the cost of conventional units can no longer meet the current situation. Therefore, the optional implementation method of the present invention takes into account the access of new energy to the power grid. When formulating the scheduling model, it takes into account the cost of wind abandonment, the cost of starting and stopping conventional units, the cost of power generation fuel, and the use of peak-valley and flat electricity prices and load aggregators to minimize the compensation profits to perform optimization modeling.

[0197] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0198] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical strategy of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0199] Example 2

[0200] According to an embodiment of the present invention, a device for implementing the above-mentioned power dispatch strategy determination method is also provided. Figure 2 is a structural block diagram of a device for determining a power dispatching strategy according to an embodiment of the present invention. Figure 2 As shown, the device includes: an acquisition module 202, a first determination module 204 and a second determination module 206. The device is described in detail below.

[0201] The acquisition module 202 is used to acquire the regional parameters of the target power area; the first determination module 204 is connected to the above acquisition module 202, and is used to determine the objective function with the goal of minimizing the electricity cost of the target power area and the first constraint condition constraining the objective function based on the regional parameters, wherein the objective function includes: a scheduling cost function, an equipment operation cost function, the scheduling cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price scheduling contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price scheduling contract, the contract compensation cost item represents the compensation cost after the target object signs the electricity price scheduling contract, and the electricity price scheduling contract is for multiple time periods. The peak load period is the period when the load usage exceeds the predetermined load threshold. Multiple periods include the peak load period. The second cost item represents the cost saved after the implementation of the electricity price dispatch contract compared with the cost before the implementation of the electricity price dispatch contract. The equipment operation cost function includes the fuel cost function, start and stop cost function and wind abandonment cost function of the generator sets included in the target power area. The first constraint condition includes the power balance constraint of the generator set, the start and stop time constraint of the unit, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint. The second determination module 206 is connected to the above-mentioned first determination module 204, and is used to determine the power dispatch strategy corresponding to the target power area according to the objective function under the first constraint condition.

[0202] It should be noted here that the above-mentioned acquisition module 202, the first determination module 204 and the second determination module 206 correspond to steps S102 to S106 in the method for implementing the power dispatching strategy determination, and the instances and application scenarios implemented by the multiple modules are the same as the corresponding steps, but are not limited to the contents disclosed in the above-mentioned embodiment 1.

[0203] Example 3

[0204] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising: a processor; and a memory for storing instructions executable by the processor, wherein the processor is configured to execute instructions to implement any of the above methods for determining a power dispatching strategy.

[0205] Example 4

[0206] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute any of the above-mentioned methods for determining a power scheduling strategy.

[0207] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0208] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0209] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0210] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the strategy of this embodiment.

[0211] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0212] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical strategy of the present invention, or the part that contributes to the prior art, or all or part of the technical strategy can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0213] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining a power dispatching strategy, characterized in that: include: Obtaining regional parameters of the target power area; According to the regional parameters, an objective function with the goal of minimizing the electricity cost of the target power area and a first constraint condition for constraining the objective function are determined, wherein the objective function includes: a scheduling cost function, an equipment operation cost function, the scheduling cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price scheduling contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price scheduling contract, the contract compensation cost item represents the compensation cost after the target object signs the electricity price scheduling contract, the electricity price scheduling The contract is a contract for adjusting the electricity price of multiple time periods and reducing the scheduled electricity consumption during the peak load period, the peak load period is a period when the load usage exceeds the predetermined load threshold, the multiple time periods include the peak load period, the second cost item represents the cost saved after the implementation of the electricity price dispatch contract compared with the cost before the implementation of the electricity price dispatch contract, the equipment operation cost function includes the fuel cost function, the start and stop cost function and the wind abandonment cost function of the generator set included in the target power area, the first constraint condition includes the power balance constraint of the generator set, the start and stop time constraint of the generator set, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint; According to the objective function under the first constraint condition, a power dispatch strategy corresponding to the target power area is determined.

2. The method according to claim 1, characterized in that: Before determining the objective function with the goal of minimizing the electricity cost of the target power area according to the regional parameters and the first constraint condition constraining the objective function, the method further includes: Determining an initial electricity price and an electricity price adjustment coefficient for the target power area according to the area parameters of the target power area; Determining the contract electricity prices corresponding to the multiple time periods respectively according to the electricity price adjustment coefficient and the initial electricity price; Determine a first electricity cost function based on the initial electricity price and the initial electricity load function, and determine a second electricity cost function based on the contract electricity price and the contract electricity load function, wherein the initial electricity load is the predicted electricity load before the target object signs the electricity price dispatch contract, and the contract electricity load is the predicted electricity load after the target object signs the electricity price dispatch contract; The difference between the first electricity cost function and the second electricity cost function is determined to obtain the second cost item.

3. The method according to claim 1, characterized in that Before determining the objective function with the goal of minimizing the electricity cost of the target power area according to the regional parameters and the first constraint condition constraining the objective function, the method further includes: Determining, according to the regional parameters of the target power area, the contract electricity prices corresponding to the multiple time periods, and the power reduction functions corresponding to the target objects in the multiple time periods; Determining the contract compensation cost item according to the contract electricity prices corresponding to the multiple time periods and the power reduction functions corresponding to the target object in the multiple time periods; Determine the contract compensation amount item obtained by the target object after signing the electricity price dispatch contract; The first cost item is obtained according to the contract compensation cost item and the contract compensation amount item.

4. The method according to claim 1, characterized in that: After determining the objective function with the goal of minimizing the electricity cost of the target power area and the first constraint condition constraining the objective function according to the regional parameters, the method further includes: Determine the profit function corresponding to the established contract object; Determine a balance function and a second constraint condition corresponding to the balance function according to the objective function and the profit function, wherein the balance function is a function for balancing the maximization of the profit of the contract object and the minimization of the electricity cost of the target power area; Under the second constraint condition, the balance function is solved to determine a power balance strategy corresponding to the target power area.

5. The method according to claim 4, characterized in that Determine the profit function corresponding to the established contract object, including: Determining a predetermined profit rate and a contract compensation function obtained after the target object signs the electricity price dispatch contract; The profit function is determined based on the predetermined profit rate and the contract compensation function.

6. The method according to claim 2, characterized in that Before determining the first electricity cost function according to the initial electricity price and the initial electricity load function, and determining the second electricity cost function according to the contract electricity price and the contract electricity load function, the method further includes: Determining a demand price elasticity coefficient according to the regional parameters of the target power area; The contract electricity load function is determined based on the demand price self-elasticity coefficient, the initial electricity price, the initial electricity load function and the contract electricity price.

7. The method according to any one of claims 1 to 6, characterized in that After determining the power dispatch strategy corresponding to the target power area according to the objective function under the first constraint condition, the method further includes: The corresponding power equipment in the target power area is controlled and set with the corresponding power dispatching parameters in the power dispatching strategy.

8. A device for determining a power dispatching strategy, characterized in that: include: An acquisition module, used for acquiring regional parameters of a target power area; The first determination module is used to determine, based on the regional parameters, an objective function with the goal of minimizing the electricity consumption cost of the target power area, and a first constraint condition for constraining the objective function, wherein the objective function includes: a scheduling cost function, an equipment operation cost function, the scheduling cost function includes a first cost item and a second cost item, the first cost item represents the cost of the target object signing an electricity price scheduling contract, the first cost item includes a contract compensation amount item and a contract compensation cost item, the contract compensation amount item represents the compensation amount obtained after the target object signs the electricity price scheduling contract, the contract compensation cost item represents the compensation cost of the target object after signing the electricity price scheduling contract, The electricity price dispatch contract is a contract for adjusting the electricity price of multiple time periods and reducing the predetermined electricity consumption during the peak load period. The peak load period is a period when the load usage exceeds the predetermined load threshold. The multiple time periods include the peak load period. The second cost item represents the cost saved after the implementation of the electricity price dispatch contract compared with the cost saved before the implementation of the electricity price dispatch contract. The equipment operation cost function includes the fuel cost function, the start-stop cost function and the wind abandonment cost function of the generator set included in the target power area. The first constraint condition includes the power balance constraint of the generator set, the start-stop time constraint of the generator set, the output constraint of the generator set, the output constraint of the standby unit and the object power reduction constraint. The second determination module is used to determine the power dispatching strategy corresponding to the target power area according to the objective function under the first constraint condition.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method for determining a power dispatch strategy as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the power dispatch strategy determination method as described in any one of claims 1 to 7.

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