Power system regulation resource economy optimization configuration method and device

Abstract

The invention relates to an economic optimization configuration method and device for regulation resources of a power system, and the method comprises the steps: analyzing the technical features of various types of regulation resources, and selecting the regulation resources meeting a certain regulation capability range; based on the selected power system adjustment resources, analyzing the full-life-cycle economic cost of the power system adjustment resources; performing statistical analysis on the up-regulation capability vacancy and the down-regulation capability vacancy of the system based on an operation scheduling result of the power system, and extracting operation data of time periods to which the maximum up-regulation capability vacancy and the maximum down-regulation capability vacancy belong; according to the adjustment resource technical characteristics, the full life cycle cost analysis and adjustment capability vacancy period data, constructing a system adjustment resource economy optimization configuration model, determining constraint conditions of the model, and solving the model to realize capacity configuration of adjustment resources; according to the invention, the regulation capability of the power system is improved, and the stability and reliability of operation scheduling of the power system under the high-proportion new energy access background are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of economic optimization configuration of power system regulation resources, and more specifically, to a method, device and medium for economic optimization configuration of power system regulation resources. Background Art

[0002] Under the goal of clean and low-carbon energy transformation, the installed capacity of new energy continues to maintain rapid growth. After a high proportion of new energy is connected to the grid, its characteristics of "large installed capacity and small output" have put forward higher requirements for system safety, power supply and clean energy consumption. In addition, the frequent occurrence of extreme weather in recent years has accelerated the changes in the characteristics of both supply and demand. The operation of the power grid is facing the dilemma of "difficulty in absorbing large-scale power generation" and "difficulty in ensuring supply of small-scale power generation". In order to cope with the "double guarantee" requirements of "ensuring the absorption of new energy" and "ensuring power supply" faced by the power system, and to improve the overall regulation capacity of the power system, it is necessary to comprehensively consider the system regulation capacity demand and regulation capacity supply from the perspective of source-grid-load-storage coordination of the new power system, incorporate flexibility into various links such as power planning, dispatching and operation, and market transactions, ensure the reasonable allocation of flexible regulation resources on different time scales, and efficiently call them in actual operation, and confirm their value through market mechanisms. If the system is not flexible enough and lacks sufficient regulatory capabilities, it will be difficult to fully respond to the uncertainty of renewable energy output and frequent events such as large fluctuations in net load. In order to ensure the safe and stable operation of the system, emergency measures such as wind and solar power abandonment and load shedding may sometimes have to be taken, resulting in greater economic impacts and social losses.

[0003] At the same time, as the proportion of fluctuating power sources connected to the grid increases, the rate and amplitude requirements for matching the supply and demand sides of the power supply when the active power of the power system is unbalanced have increased significantly, and resources are needed to more flexibly adjust the power generation output or power demand to meet the supply and demand balance. Therefore, how to select the regulation resources that meet the regulation capacity requirements of the power system and reasonably configure the configuration capacity and configuration ratio of various types of regulation resources are key issues that need to be urgently addressed to improve the flexibility of the power system.

[0004] There are at least the following technical problems in the above-mentioned disclosed technical solutions: the previous power system resource optimization configuration often uses the system historical data to directly optimize the configuration, without considering the impact of insufficient regulation capacity on the system resource optimization configuration under the construction of new power systems. This will cause the configuration results to be mismatched in the system supply and demand balance under extreme scenarios with a high proportion of new energy output or load surge scenarios, and the load has to be cut or a large amount of wind and solar power has to be abandoned, which reduces the energy utilization efficiency and the operational reliability of the power system. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a method, device and medium for economic optimization configuration of power system regulation resources, and solve the problems of load shedding and wind and solar power abandonment caused by insufficient regulation capacity in a high-proportion new energy power system through an power system regulation resource optimization configuration model based on the technical characteristics of the regulation resources and full life cycle cost accounting.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The method for optimizing the economic configuration of power system regulation resources comprises the following steps:

[0008] Analyze the technical characteristics of various types of regulation resources, match the regulation capacity required by the power system, and select the regulation resources for the power system;

[0009] Based on the power system regulation resources, the full life cycle economic cost is analyzed, wherein the full life cycle economic cost includes the initial investment and construction costs and the explicit cost of the cost increment brought by flexible operation and the implicit cost of accelerated equipment loss or accelerated life reduction caused by the conventional units providing flexibility;

[0010] Based on the operation and dispatch results of the power system, statistical analysis is conducted on the system's upward and downward capacity shortages, and the operation data of the time periods with the maximum upward and downward capacity shortages are extracted;

[0011] Based on the technical characteristics of the regulating resources and the full life cycle cost analysis, as well as the data on the period of regulation capacity shortage, a system regulating resource economic optimization configuration model is constructed, and the constraints of the model are determined. The model is solved to achieve capacity configuration of the regulating resources.

[0012] Furthermore, the objective function of the system regulation resource economic optimization configuration model includes:

[0013] The objective function takes into account the cost of thermal power flexibility transformation, the cost of new thermal power, the investment cost of energy storage, the investment cost of pumped storage, the cost of load-side demand response, and the operation and maintenance costs corresponding to each type of regulation resource:

[0014] minC=C int +C om

[0015]

[0016] Where C is the total cost of adjusting resource allocation; C int is the investment cost; C om is the operation and maintenance cost; ρ is the discount rate; r is the service life of the equipment; C tpft,int P is the unit capacity investment cost of thermal power flexibility transformation; tpftTransform capacity for thermal power flexibility; C es,int is the investment cost per unit capacity of energy storage; Allocate capacity for energy storage; C nt,int It is the investment cost of new thermal power unit capacity; New thermal power capacity; C ps,int is the investment cost per unit capacity of pumped storage; Invest in capacity for pumped storage; C dr,int is the unit mileage cost of demand response; P dr to contract demand response capacity;

[0017]

[0018] In the formula, To increase the operation and maintenance costs due to insufficient capacity; To reduce the operation and maintenance costs due to insufficient capacity; UT To adjust the time for insufficient capacity; DT To adjust down the time for insufficient capacity; Transforming unit operation and maintenance costs for flexibility; To provide flexibility, the units can be modified to output power during periods when the upward adjustment capacity is insufficient; The output cost of newly added thermal power units; To provide power to newly added thermal power units during periods of insufficient upward adjustment capacity; the cost of generating electricity for pumped storage units; The power generation of pumped storage units during periods of insufficient upward regulation capacity; the cost of storing water for pumped storage units; To store water and generate power for pumped storage units during periods of insufficient upward regulation capacity; The cost of energy storage and power generation; To generate electricity for energy storage during periods when the upper regulation capacity is insufficient; the cost of charging energy storage; To charge and output energy storage during periods when the upward adjustment capacity is insufficient; for demand response costs; To respond to demand by shedding load during periods of insufficient upward regulation capacity; adding load costs for demand response; To increase load during periods of insufficient upward regulation capacity for demand response; To provide flexibility, the units can be modified to output power during periods of insufficient down-regulation capacity; To increase the output of new thermal power units during periods of insufficient down-regulation capacity; The power generation of pumped storage units during periods of insufficient downregulation capacity; To store water and generate power for pumped storage units during periods of insufficient downregulation capacity; To generate electricity for energy storage during periods when downward regulation capacity is insufficient; To charge and output energy during periods when the energy storage capacity is insufficient for downward regulation; To respond to demand, shed load during periods of insufficient down-regulation capacity; To respond to demand and increase load during periods of insufficient downward regulation capacity.

[0019] Furthermore, the constraints of the system regulation resource economic optimization configuration model include:

[0020] (1) Power balance constraints:

[0021]

[0022] In the formula, To adjust the load demand during the period of insufficient capacity; is the load shedding amount; κ is the load shedding improvement coefficient; To adjust the load demand during the capacity period; is the amount of wind and solar power abandoned; λ is the improvement coefficient of wind and solar power abandoned; To regulate the output of other units other than the resources during the period of insufficient regulation capacity; To regulate the output of other units other than the resources during the period of insufficient regulation capacity;

[0023] (2) Constraints on thermal power flexibility transformation:

[0024]

[0025] In the formula, It is the minimum output of existing thermal power; is the maximum output of the flexible thermal power unit; α is the maximum transformation potential coefficient of the flexible thermal power unit;

[0026] Thermal power flexibility transformation meets the constraints related to upward regulation demand:

[0027]

[0028] In the formula, β cl is the climbing coefficient;

[0029] Thermal power flexibility transformation meets the constraints related to downward regulation demand:

[0030]

[0031] (3) Energy storage related constraints:

[0032]

[0033] In the formula, and To add new energy storage capacity restrictions;

[0034] Energy storage meets upward regulation demand constraints:

[0035]

[0036] In the formula, The charging capacity during period t; and To meet the demand for upward regulation, the charge and discharge capacity; η es,ch and η es,dis is the charge and discharge efficiency; and is a binary variable, characterizing the charge and discharge state; and is the maximum charge and discharge capacity; The capacity of the electric energy storage during this period; and The maximum and minimum storage capacity of the electric energy storage;

[0037] Energy storage meets the constraints related to downward regulation requirements:

[0038]

[0039] In the formula, The charging capacity during period t; and To meet the demand for downward regulation, the charge and discharge capacity; η es,ch and η es,dis is the charge and discharge efficiency; and is a binary variable, characterizing the charge and discharge state; and is the maximum charge and discharge capacity; The capacity of the electric energy storage during this period; and The maximum and minimum storage capacity of the electric energy storage;

[0040] (4) Load-side demand response related constraints:

[0041]

[0042] In the formula, is the maximum load demand; δ is the demand response factor accounting for the maximum load limit;

[0043] The load-side demand response meets the constraints related to upward regulation demand:

[0044]

[0045] In the formula, and It is a Boolean variable, which is used to constrain the demand response in the same period to only perform one of load shedding and load increase;

[0046] The load-side demand response meets the constraints related to downward regulation of demand:

[0047]

[0048]

[0049] In the formula, and It is a Boolean variable used to constrain the demand response in the same period to only perform one of load shedding and load increase.

[0050] Furthermore, the power system regulation resource selection method includes:

[0051] Analyze and determine the operating range, minimum technical output, ramp rate and response time technical characteristics of the power system regulation resources;

[0052] Determine the direction of power system flexibility regulation demand and regulation time scale regulation capacity requirements;

[0053] Match power system regulation resources according to power system regulation capacity requirements.

[0054] Furthermore, the operation data of the time period to which the maximum upward adjustment capacity shortage and the maximum downward adjustment capacity shortage belong is extracted, including

[0055] Select the time period to which the maximum upward adjustment capacity shortfall and the maximum downward adjustment capacity shortfall belong;

[0056] Get the operation data of the time period to which the maximum upward capacity shortfall and the maximum downward capacity shortfall belong.

[0057] Furthermore, the time period to which the maximum upward adjustment capacity shortfall and the maximum downward adjustment capacity shortfall belong is selected, including:

[0058] The five periods before and after the moment of maximum load shedding in the system load shedding caused by insufficient system power supply or sudden increase in load demand during the operation of the power system, a total of 10 periods;

[0059] The five time periods before and after the time when the maximum amount of wind and solar power abandoned in the system due to the increase of renewable energy output during the operation of the power system belongs to, for a total of 10 time periods;

[0060] Furthermore, the operation data of the time period to which the maximum upward adjustment capacity shortage and the maximum downward adjustment capacity shortage belong includes:

[0061] Load demand data, load shedding power data and non-flexible unit output data in the period to which the maximum upward regulation capacity shortfall belongs;

[0062] Load demand data, wind and solar power curtailment and non-flexible unit output data during the period to which the maximum downward regulation capacity shortfall belongs.

[0063] The economic optimization configuration device of the power system regulation resources includes:

[0064] The technical and economic characteristics analysis module of regulating resources is used to analyze the technical characteristics and life cycle costs of flexible regulating resources such as thermal power flexibility transformation, energy storage, and demand response, and match various types of regulating resources with various types of regulating capacity requirements of the power system;

[0065] The system regulation capacity shortage statistical analysis module is used to analyze the power system dispatching operation data, select the operation data of the time period of the maximum upward regulation capacity shortage and the maximum downward regulation capacity shortage, including the load demand data, load shedding power data, wind and solar power abandonment data and non-flexible unit output data of the maximum regulation capacity shortage period;

[0066] The economic optimization configuration module of power system regulation resources is used to carry out capacity configuration of various types of regulation resources in the power system according to the shortage of upward and downward regulation capacity under system dispatching operation and the technical and economic characteristics of various types of regulation resources to meet different system regulation capacity requirements.

[0067] A computing device comprising:

[0068] one or more processing units;

[0069] A storage unit for storing one or more programs,

[0070] Wherein, when the one or more programs are executed by the one or more processing units, the one or more processing units execute the method for economic optimization configuration of power system regulation resources as described above.

[0071] A computer-readable storage medium having a non-volatile program code executable by a processor, wherein when the computer program is executed by the processor, the steps of the method for optimizing the economic configuration of power system regulation resources as described above are implemented.

[0072] The method and device for optimizing the economic allocation of power system regulation resources of the present invention have the following beneficial effects:

[0073] 1. The present invention constructs an economic optimization configuration model for regulating resources in the power system by analyzing the technical characteristics of various types of regulating resources and the economic and technical analysis of regulating resources in the whole life cycle. It can configure various types of regulating resources in appropriate proportions according to the regulating capacity requirements of the power system, improve the regulating capacity of the power system, and ensure the stability and reliability of the operation and dispatch of the power system under the background of high proportion of new energy access;

[0074] 2. The present invention can configure the capacity of various types of regulating resources by carrying out economic optimization configuration of power system regulating resources, meet the upward and downward regulation needs of the power system, and reduce the system load shedding and wind and solar power abandonment rates. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 The peak load type of the thermal power unit provided in the embodiment of the present invention;

[0076] Figure 2 A schematic diagram of the proportion of adjustment resources provided in an embodiment of the present invention;

[0077] Figure 3 A flow chart of a method for optimizing economic configuration of power system regulation resources provided by an embodiment of the present invention;

[0078] Figure 4 A functional module diagram of economic optimization configuration of power system regulation resources provided by an embodiment of the present invention;

[0079] Figure 5 A schematic diagram of a flow chart of an economic optimization configuration model for regulating resources in a power system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0080] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0081] Example 1

[0082] like Figure 1 , 2 As shown in Figures 3, 5, the regulating resources that provide regulating capabilities for the power system can be divided into four categories: power supply side, grid side, load side, and energy storage. Among them, the power supply side can tap the regulating potential of the already built thermal power units through the flexibility of thermal power, and realize the increase in the income of thermal power units. At the same time, it can also call on units with higher flexibility such as hydropower and gas power. In the face of a large increase in load demand, the demand can be met by adding new thermal power; effective demand-side management on the load side can reduce the regulation demand of the power system; the application of various types of energy storage in the power system can bring about an improvement in the regulation capacity of the power system.

[0083] In contrast, in the short term, the regulation resources on the grid side are mainly reflected in the ability to cope with changes in the system state under the constraints of grid transmission. The regulation capacity of the power system has spatial attributes. By dispatching the internal resources of the grid, the regulation capacity of the system can be tapped to achieve the balance of regulation supply and demand at different spatial scales; in the long term, the transmission capacity of the line can be increased by constructing power transmission and distribution projects. The characteristics of various regulation resources are shown in the following table.

[0084] Table 1 Characteristics of typical regulatory resources

[0085]

[0086] (1) Flexibility transformation of thermal power plants: Flexibility transformation of existing thermal power plants can significantly improve their regulation capabilities. The current transformation goals are mainly to reduce the minimum output, quickly start and stop, and quickly increase or decrease the load. Among them, reducing the minimum output of thermal power plants (i.e. improving the peak regulation capacity of thermal power plants) is currently the most important transformation goal.

[0087] Considering the technical and cost characteristics of thermal power units under reduced output, the operation process of thermal power units can be divided into three stages: Regular Peak Regulation (RPR), Deep Peak Regulation with outoil (DPR) and Deep Peak Regulation with Oil (DPRO). Figure 1 When carrying out the flexibility transformation of thermal power, the transformation can be divided into non-oil peak-shaving transformation and oil peak-shaving transformation. Calculated based on the minimum technical output before the transformation being 50% of the rated capacity, the two transformation schemes can reduce the minimum technical output to 35%-38% and 30% of the rated capacity respectively.

[0088] In the RPR stage, the operating cost of thermal power units is mainly fuel cost, which can be calculated based on the quadratic function of coal consumption characteristics.

[0089]

[0090] In the formula, C i,RPR,t is the cost of thermal power unit i under conventional peak load regulation; P i,coal,t Corresponding to the output of thermal power unit i in period t; V coal is the coal price; a, b, c are coefficients related to the technical characteristics of the thermal power unit.

[0091] In the DPR and DPRO stages, since lowering the unit output will cause equipment loss and reduce the unit life, the unit loss cost needs to be considered at this stage. i,cost .

[0092] In the DPRO stage, the unit further reduces its output. In order to maintain the stability of boiler combustion, oil needs to be added to assist combustion, so the oil cost needs to be considered. i,oil,t .

[0093] Through the above analysis, the operating cost of thermal power units at different output stages can be obtained.

[0094]

[0095] In the formula, C i,coal,t is the operating cost of thermal power units; P i,a is the minimum output in the RPR stage; P i,b is the minimum output in the DPR stage; P i,min It is the minimum output in the DPRO stage.

[0096] Furthermore, the output and ramp constraints of the thermal power units are shown below.

[0097] The technical output constraints of newly added thermal power units and thermal power units after flexibility transformation mainly include: upper and lower limits of thermal power unit output and climbing constraints of thermal power units.

[0098]

[0099]

[0100] In the formula, and They are the ramp-up rate and ramp-down rate of the thermal power unit respectively; and They are the maximum and minimum output of thermal power units respectively.

[0101] (2) Energy storage: Under the constraints of real-time balance of power, energy storage devices can discharge to ensure power supply when load demand increases, and charge to ensure the consumption of new energy when new energy is generated, and have the ability to provide upward and downward power system regulation. In the past, the evaluation of the regulation capacity of energy storage was mostly measured by its capacity reserve. With the high penetration rate of renewable energy connected to the grid, exploring the dynamic regulation capacity of energy storage has become an important research direction for improving the available flexibility regulation capacity of the power system.

[0102] 1) Pumped storage: Pumped storage can achieve the effect of "peak shaving and valley filling" by controlling the time of pumping and releasing water between the upper reservoir and the lower reservoir for quantitative charging and discharging, and is currently the most mature energy storage technology solution.

[0103]

[0104] In the formula, To provide energy for pumping water; It is the maximum power limit for pumping; To generate electricity; is the maximum power generation; is the minimum power generation; and It is a binary variable to characterize the working status of pumped storage.

[0105] In addition, the power of a pumped-storage power station is related to the status of its upper and lower reservoirs.

[0106]

[0107] In the formula, The minimum and maximum water storage levels of the upper reservoir; is the minimum and maximum water storage capacity of the lower reservoir. To simplify the study, the water storage capacity of the upper reservoir and the lower reservoir is set to be the same; Q dn,t is the water volume of the upper reservoir in period t, Q dn,t is the water volume in the reservoir during period t. g is the acceleration of gravity, H c is the generating head, H y is the pumping head, η ps,s is the pumped storage conversion efficiency, η ps,d For power conversion efficiency.

[0108] 2) New energy storage: In addition to pumped storage, various types of electrochemical energy storage have developed rapidly in recent years, with faster response time and ramp rate. The relevant constraints are shown below.

[0109]

[0110] In the formula, The charging capacity during period t; and is the charge and discharge capacity; η es,c and η es,d is the charge and discharge efficiency; and is a binary variable, representing the charge and discharge state; Δt is the time period; and is the maximum charge and discharge capacity; The capacity of the electric energy storage during this period; and The maximum and minimum storage capacity of the electric energy storage.

[0111] (3) Load-side demand response: The electrification transformation of various industrial sectors has increased the demand for electricity, which is conducive to the consumption of new energy. By tapping the demand response potential of each power user, it can be enabled to temporarily change its electricity consumption period according to price signals or incentives, and reduce or increase electricity consumption during specific periods, which can improve the regulation capacity of the power system. The existing demand response methods mainly include load reduction and load transfer. Load transfer and reduction can provide downward regulation capabilities during peak electricity consumption periods; during periods of large-scale new energy development, load transfer can also provide upward regulation capabilities. The relevant constraints of the two types of load-side demand response are as follows.

[0112]

[0113] In the formula, is the load reduction amount; is the maximum reduction; and are the maximum and minimum amounts of load transfer, respectively; is the load transfer amount.

[0114] In the economic optimization configuration model of system regulation resources, the objective function takes into account the flexibility transformation cost of thermal power, the cost of new thermal power, the investment cost of energy storage, the investment cost of pumped storage and the demand response cost on the load side, as well as the operation and maintenance costs corresponding to each type of regulation resources.

[0115] minC=C int +C om

[0116]

[0117] Where C is the total cost of adjusting resource allocation; C int is the investment cost; C om is the operation and maintenance cost; ρ is the discount rate; r is the service life of the equipment; C tpft,int P is the unit capacity investment cost of thermal power flexibility transformation; tpft Transform capacity for thermal power flexibility; C es,int is the investment cost per unit capacity of energy storage; Allocate capacity for energy storage; C nt,int It is the investment cost of new thermal power unit capacity; New thermal power capacity; C ps,int is the investment cost per unit capacity of pumped storage; Invest in capacity for pumped storage; C dr,int is the unit mileage cost of demand response; P dr To contract demand response capacity.

[0118]

[0119] In the formula, To increase the operation and maintenance costs due to insufficient capacity; To reduce the operation and maintenance costs due to insufficient capacity; UT To adjust the time for insufficient capacity; DT To adjust down the time for insufficient capacity; Transforming unit operation and maintenance costs for flexibility; To provide flexibility, transform the units to produce power during periods when the upward adjustment capacity is insufficient; The output cost of newly added thermal power units; To provide power to newly added thermal power units during periods of insufficient upward adjustment capacity; the cost of generating electricity for pumped storage units; The power generation of pumped storage units during periods of insufficient upward regulation capacity; the cost of storing water for pumped storage units; To store water for pumped storage units during periods of insufficient upward regulation capacity; The cost of energy storage and power generation; To generate power for energy storage during periods when the upper regulation capacity is insufficient; the cost of charging energy storage; To charge the energy storage during periods of insufficient upward regulation capacity; for demand response costs; To respond to demand by shedding load during periods of insufficient upward regulation capacity; adding load costs for demand response; To increase the load during the period when the upward regulation capacity is insufficient for demand response; To provide flexibility, the units can be modified to output power during periods of insufficient down-regulation capacity; To provide power to newly added thermal power units during periods of insufficient down-regulation capacity; The power generation of pumped storage units during periods of insufficient downregulation capacity; To store water for pumped storage units during periods of insufficient downregulation capacity; To generate power for energy storage during periods when the downward regulation capacity is insufficient; To charge the energy storage during periods of insufficient down regulation capacity; Shedding load power during periods of insufficient down-regulation capacity for demand response; To respond to demand, increase load power during periods of insufficient downward regulation capacity.

[0120] The constraints include power balance constraints, constraints related to thermal power flexibility transformation, constraints related to energy storage, and constraints related to load-side demand response.

[0121] (1) Power balance constraints:

[0122]

[0123]

[0124] In the formula, To adjust the load demand during the period of insufficient capacity; is the load shedding power; κ is the load shedding improvement factor, which represents the load shedding that the configuration scheme wants to reduce compared with the basic scenario, and is explained as (1-the ratio of the load shedding amount after configuration to the load shedding amount in the basic scenario); To adjust the load demand during the capacity period; is the amount of wind and solar power abandoned; λ is the wind and solar power abandoned improvement coefficient, which represents the wind and solar power abandoned situation that the configuration scheme wants to reduce compared with the basic scenario, and is explained as (1-the ratio of the wind and solar power abandoned amount after configuration to the wind and solar power abandoned amount in the basic scenario); To regulate the output of other units other than the resources during the period of insufficient regulation capacity; To regulate the output of other units other than resources during the period of insufficient regulation capacity.

[0125] (2) Constraints on the flexibility transformation of thermal power plants

[0126]

[0127] In the formula, It is the minimum output of existing thermal power; is the maximum output of the flexible thermal power unit; α is the potential coefficient for the maximum transformation of the flexible thermal power unit.

[0128] Thermal power flexibility transformation meets the constraints related to upward regulation demand:

[0129]

[0130] In the formula, β cl is the climbing coefficient.

[0131] Thermal power flexibility transformation meets the constraints related to downward regulation demand:

[0132]

[0133] (3) Energy storage related constraints:

[0134]

[0135] In the formula, and To add new energy storage capacity restrictions.

[0136] Energy storage meets upward regulation demand constraints:

[0137]

[0138] In the formula, The charging capacity during period t; and To meet the demand for upward regulation, the charge and discharge capacity; η es,ch and η es,dis is the charge and discharge efficiency; and is a binary variable, characterizing the charge and discharge state; and is the maximum charge and discharge capacity; The capacity of the electric energy storage during this period; and The maximum and minimum storage capacity of the electric energy storage.

[0139] Energy storage meets the constraints related to downward regulation requirements:

[0140]

[0141] In the formula, The charging capacity during period t; and To meet the demand for downward regulation, the charge and discharge capacity; η es,ch and η es,dis is the charge and discharge efficiency; and is a binary variable, characterizing the charge and discharge state; and is the maximum charge and discharge capacity; The capacity of the electric energy storage during this period; and The maximum and minimum storage capacity of the electric energy storage.

[0142] (4) Load-side demand response related constraints

[0143]

[0144] In the formula, is the maximum load demand; δ is the demand response factor accounting for the maximum load limit.

[0145] The load-side demand response meets the constraints related to upward regulation demand:

[0146]

[0147] In the formula, and It is a Boolean variable used to constrain the demand response in the same period to only perform one of load shedding and load increase.

[0148] The load-side demand response meets the constraints related to downward regulation of demand:

[0149]

[0150] In the formula, and It is a Boolean variable used to constrain the demand response in the same period to only perform one of load shedding and load increase.

[0151] By using the system adjustment resource optimization configuration model, the comprehensive calculation results under different scenarios are obtained as shown in Tables 2 and 3 below.

[0152] Table 2 Comprehensive calculation results under different scenarios

[0153]

[0154] Table 3 Results of resource adjustment investment costs under different scenarios

[0155]

[0156] Get the proportion of each type of adjustment resource allocation result, such as Figure 3 As shown. It can be seen that in the configuration structure, energy storage accounts for a large proportion, mainly because it has faster technical and economic characteristics. In scenario three, the constraints on load shedding and wind and solar power abandonment are tightened, and the potential for demand response is revealed.

[0157] Example 2

[0158] This embodiment further illustrates the solution described in the present application through an apparatus embodiment.

[0159] Figure 4 FIG. 4 shows a block diagram of a new energy typical time sequence scene generation and extraction device according to an embodiment of the present application, as shown in FIG. Figure 4 As shown, the device comprises:

[0160] The technical and economic characteristics analysis module 310 of the regulating resources is used to analyze the technical characteristics and life cycle costs of flexible regulating resources such as thermal power flexibility transformation, energy storage, and demand response, and match various types of regulating resources with various types of regulating capacity requirements of the power system;

[0161] The system regulation capacity shortage statistical analysis module 320 is used to analyze the power system dispatching operation data, select the operation data of the time period to which the maximum upward regulation capacity shortage and the maximum downward regulation capacity shortage belong, including the load demand data, load shedding power data, wind and solar power abandonment data and non-flexible unit output data of the maximum regulation capacity shortage period;

[0162] The power system regulation resource economic optimization configuration module 330 is used to carry out capacity configuration of various types of regulation resources in the power system according to the shortage of upward and downward regulation capacity under system dispatching operation and the technical and economic characteristics of various types of regulation resources to meet different system regulation capacity requirements.

[0163] A computing device is also provided, comprising:

[0164] one or more processing units;

[0165] A storage unit for storing one or more programs,

[0166] Among them, when the one or more programs are executed by the one or more processing units, the one or more processing units execute the method for economic optimization configuration of power system regulation resources in this embodiment; it should be noted that the computing device may include but is not limited to a processing unit and a storage unit; those skilled in the art can understand that the computing device including a processing unit and a storage unit does not constitute a limitation on the computing device, and may include more components, or a combination of certain components, or different components. For example, the computing device may also include input and output devices, network access devices, buses, etc.

[0167] A computer-readable storage medium having a non-volatile program code executable by a processor, wherein the computer program, when executed by the processor, implements the steps of the method for optimizing the economic configuration of power system regulation resources in this embodiment; it should be noted that the readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof; the program contained on the readable medium may be transmitted using any appropriate medium, including, but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination thereof. For example, the program code for performing the operation of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and also conventional procedural programming languages ​​such as C language or similar programming languages. The program code may be executed entirely on a user computing device, partially on a user device, as an independent software package, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0168] Finally, it should be pointed out that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing the economic configuration of power system regulation resources, characterized in that: The steps include: Analyze the technical characteristics of various types of regulation resources, match the regulation capacity required by the power system, and select the regulation resources for the power system; Based on the power system regulation resources, the full life cycle economic cost is analyzed, wherein the full life cycle economic cost includes the initial investment and construction costs and the explicit cost of the cost increment brought by flexible operation and the implicit cost of accelerated equipment loss or accelerated life reduction caused by the conventional units providing flexibility; Based on the operation and dispatch results of the power system, statistical analysis is conducted on the system's upward and downward capacity shortages, and the operation data of the time periods with the maximum upward and downward capacity shortages are extracted; Based on the technical characteristics of the regulating resources and the full life cycle cost analysis, as well as the data on the period of regulation capacity shortage, a system regulating resource economic optimization configuration model is constructed, and the constraints of the model are determined. The model is solved to achieve capacity configuration of the regulating resources.

2. The method for optimizing the economic allocation of power system regulation resources according to claim 1, characterized in that: The objective functions of the system regulation resource economic optimization configuration model include: The objective function takes into account the cost of thermal power flexibility transformation, the cost of new thermal power, the investment cost of energy storage, the investment cost of pumped storage, the cost of load-side demand response, and the operation and maintenance costs corresponding to each type of regulation resource: minC=C int +C om Where C is the total cost of adjusting resource allocation; C int is the investment cost; C om is the operation and maintenance cost; ρ is the discount rate; r is the service life of the equipment; C tpft,int P is the unit capacity investment cost of thermal power flexibility transformation; tpft Transform capacity for thermal power flexibility; C es,int is the investment cost per unit capacity of energy storage; Allocate capacity for energy storage; C nt,int It is the investment cost of new thermal power unit capacity; New thermal power capacity; C ps,int is the investment cost per unit capacity of pumped storage; Invest in capacity for pumped storage; C dr,int is the unit mileage cost of demand response; P dr to contract demand response capacity; In the formula, To increase the operation and maintenance costs due to insufficient capacity; The operation and maintenance cost of the capacity shortage is adjusted downward; UT is the time of the capacity shortage; DT is the time of the capacity shortage. Transforming unit operation and maintenance costs for flexibility; To provide flexibility, transform the units to produce power during periods when the upward adjustment capacity is insufficient; The output cost of newly added thermal power units; To provide power to newly added thermal power units during periods of insufficient upward adjustment capacity; the cost of generating electricity for pumped storage units; The power generation of pumped storage units during periods of insufficient upward regulation capacity; the cost of storing water for pumped storage units; To store water and generate power for pumped storage units during periods of insufficient upward regulation capacity; The cost of energy storage and power generation; To generate electricity for energy storage during periods when the upper regulation capacity is insufficient; the cost of charging energy storage; To charge and output energy storage during periods when the upward adjustment capacity is insufficient; for demand response costs; To respond to demand by shedding load during periods of insufficient upward regulation capacity; adding load costs for demand response; To increase the load during the period when the upward regulation capacity is insufficient for demand response; To provide flexibility, the units can be modified to output power during periods of insufficient down-regulation capacity; To provide power to newly added thermal power units during periods of insufficient down-regulation capacity; The power generation of pumped storage units during periods of insufficient downregulation capacity; To store water and generate power for pumped storage units during periods of insufficient downregulation capacity; To generate electricity for energy storage during periods when downward regulation capacity is insufficient; To charge and output energy during periods when the energy storage capacity is insufficient for downward regulation; To respond to demand, shed load during periods of insufficient down-regulation capacity; To respond to demand and increase load during periods of insufficient downward regulation capacity.

3. The method for optimizing the economic allocation of power system regulation resources according to claim 2, characterized in that: The constraints of the system regulation resource economic optimization configuration model include: (1) Power balance constraints: Where P l uf,t To adjust the load demand during the period of insufficient capacity; is the load shedding amount; κ is the load shedding improvement factor; P l df,t To adjust the load demand during the capacity period; is the amount of wind and solar power abandoned; λ is the improvement coefficient of wind and solar power abandoned; To regulate the output of other units other than the resources during the period of insufficient regulation capacity; To regulate the output of other units other than the resources during the period of insufficient regulation capacity; (2) Constraints on thermal power flexibility transformation: In the formula, It is the minimum output of existing thermal power; is the maximum output of the flexible thermal power unit; α is the maximum transformation potential coefficient of the flexible thermal power unit; Thermal power flexibility transformation meets the constraints related to upward regulation demand: In the formula, β cl is the climbing coefficient; Thermal power flexibility transformation meets the constraints related to downward regulation demand: (3) Energy storage related constraints: In the formula, and To add new energy storage capacity restrictions; Energy storage meets upward regulation demand constraints: In the formula, The charging capacity during period t; and To meet the upward regulation demand for charging and discharging; η es,ch and η es,dis is the charge and discharge efficiency; and is a binary variable, characterizing the charge and discharge state; and is the maximum charge and discharge capacity; The capacity of the electric energy storage during this period; and The maximum and minimum storage capacity of the electric energy storage; Energy storage meets the constraints related to downward regulation requirements: In the formula, The charging capacity during period t; and To meet the demand for downward regulation, the charge and discharge capacity; η es,ch and η es,dis is the charge and discharge efficiency; and is a binary variable, characterizing the charge and discharge state; and is the maximum charge and discharge capacity; The capacity of the electric energy storage during this period; and The maximum and minimum storage capacity of the electric energy storage; (4) Load-side demand response related constraints: 0≤P dr ≤δP l max Where P l max is the maximum load demand; δ is the demand response factor accounting for the maximum load limit; The load-side demand response meets the constraints related to upward regulation demand: In the formula, and It is a Boolean variable, which is used to constrain the demand response in the same period to only perform one of load shedding and load increase; The load-side demand response meets the constraints related to downward regulation of demand: In the formula, and It is a Boolean variable used to constrain the demand response in the same period to only perform one of load shedding and load increase.

4. The method for optimizing the economic allocation of power system regulation resources according to claim 1, characterized in that: The power system regulation resource selection method comprises: Analyze and determine the operating range, minimum technical output, ramp rate and response time technical characteristics of the power system regulation resources; Determine the direction of power system flexibility regulation demand and regulation time scale regulation capacity requirements; Match power system regulation resources according to power system regulation capacity requirements.

5. The method for optimizing the economic allocation of power system regulation resources according to claim 1, characterized in that: The operation data extraction for the time period to which the maximum upward adjustment capacity shortfall and the maximum downward adjustment capacity shortfall belong includes Select the time period to which the maximum upward adjustment capacity shortfall and the maximum downward adjustment capacity shortfall belong; Get the operation data of the time period to which the maximum upward capacity shortfall and the maximum downward capacity shortfall belong.

6. The method for optimizing the economic allocation of power system regulation resources according to claim 5, characterized in that: The selection of the time period to which the maximum upward adjustment capacity shortfall and the maximum downward adjustment capacity shortfall belong includes: The five periods before and after the moment of maximum load shedding in the system load shedding caused by insufficient system power supply or sudden increase in load demand during the operation of the power system, a total of 10 periods; The five time periods before and after the moment of maximum wind and solar power abandonment in the system due to increased output of renewable energy during power system operation, a total of 10 time periods.

7. A method for optimizing economic allocation of power system regulation resources according to claim 6, characterized in that: The operation data for the time period to which the maximum upward adjustment capacity shortfall and the maximum downward adjustment capacity shortfall belong include: Load demand data, load shedding power data and non-flexible unit output data in the period to which the maximum upward regulation capacity shortfall belongs; Load demand data, wind and solar power curtailment and non-flexible unit output data during the period to which the maximum downward regulation capacity shortfall belongs.

8. An economic optimization configuration device for regulating resources in a power system, characterized in that: include: The technical and economic characteristics analysis module of regulating resources is used to analyze the technical characteristics and life cycle costs of flexible regulating resources such as thermal power flexibility transformation, energy storage, and demand response, and match various types of regulating resources with various types of regulating capacity requirements of the power system; The system regulation capacity shortage statistical analysis module is used to analyze the power system dispatching operation data, select the operation data of the time period of the maximum upward regulation capacity shortage and the maximum downward regulation capacity shortage, including the load demand data, load shedding power data, wind and solar power abandonment data and non-flexible unit output data of the maximum regulation capacity shortage period; The economic optimization configuration module of power system regulation resources is used to carry out capacity configuration of various types of regulation resources in the power system according to the shortage of upward and downward regulation capacity under system dispatching operation and the technical and economic characteristics of various types of regulation resources to meet different system regulation capacity requirements.

9. A computing device, characterized in that: include: one or more processing units; A storage unit for storing one or more programs, Wherein, when the one or more programs are executed by the one or more processing units, the one or more processing units execute the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a non-volatile program code executable by a processor, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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