Method and device for optimal allocation of power system regulation resources

Abstract

The present application relates to a kind of power system regulating resource economy optimization configuration method and device, method includes: the technical characteristics of each type of regulating resource is analyzed, selecting the regulating resource satisfying certain regulating capacity range;Based on the selected power system regulating resource, the economic cost of its full life cycle is analyzed;Based on the power system operation scheduling result, the regulating capacity shortage and the regulating capacity shortage on system are statistically analyzed, extract the maximum regulating capacity shortage and the maximum regulating capacity shortage time period operation data;According to the technical characteristics and full life cycle cost analysis of the regulating resource, and regulating capacity shortage time period data, construct system regulating resource economy optimization configuration model, and determine the constraint condition of model, solve the model, realize the capacity configuration of regulating resource;The present application improves the regulating capacity of power system, ensures the stability and reliability of power system operation scheduling under the background of high proportion of new energy access.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of economic optimization configuration of power system regulation resources, and more particularly to a power system regulation resource economic optimization configuration method, device and medium. BACKGROUND

[0002] Under the goal of clean and low-carbon energy transformation, new energy installations continue to grow rapidly. After high-proportion new energy is connected to the grid, its characteristics of "large installation and small output" pose higher requirements for system safety, power supply and clean energy consumption. In recent years, extreme weather has occurred frequently, which has accelerated the changes in characteristics at both ends of supply and demand, and the power grid operation is facing the dilemma of "difficult to consume large capacity" and "difficult to supply small capacity". In order to cope with the "double protection" requirements of "guaranteeing new energy consumption" and "guaranteeing 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 new-type power system, to integrate flexibility into power planning, dispatching operation and market transaction, etc., to ensure the reasonable configuration of flexible regulation resources at different time scales, efficient calling in actual operation, and confirmation of its value through market mechanism. If the system flexibility is insufficient and lacks sufficient regulation capacity, it will be difficult to fully cope with the uncertainty of new energy output and the frequent occurrence of events such as large fluctuations in net load, and in order to ensure the safety and stability of system operation, sometimes emergency measures such as curtailment of wind and light and load shedding have to be taken, resulting in great economic impact and social loss.

[0003] At the same time, with the expansion of the proportion of fluctuating power connected to the grid, the rate and amplitude requirements of mutual matching and regulation between power supply and demand ends when the active power of the power system is unbalanced are significantly increased, and resources need to be more flexible to regulate power generation output or electricity demand to meet supply and demand balance. Therefore, how to select regulation resources that meet the regulation capacity demand of the power system and reasonably configure the configuration capacity and configuration proportion of each type of regulation resource is a key problem that needs to be solved to improve the flexible regulation capacity of the power system.

[0004] In the above-mentioned disclosed technical solution, at least the following technical problems exist: The previous power system resource optimization configuration often directly optimizes the configuration using system historical data, without considering the impact of insufficient regulation capacity under the construction of new-type power system on system resource optimization configuration, which may cause the configuration result to be mismatched between system supply and demand in high-proportion new energy output extreme scenarios or load surge scenarios, and load shedding or large-scale wind and light curtailment is necessary, which reduces energy utilization efficiency and operation reliability of the power system. SUMMARY

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

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

[0007] The power system regulation resource economic optimization configuration method comprises the following steps:

[0008] Analyzing technical characteristics of each type of regulation resource, matching the required regulation capacity of the power system, and selecting the power system regulation resource;

[0009] Based on the power system regulation resource, analyzing the full life cycle economic cost, wherein the full life cycle economic cost includes the explicit cost of the pre-investment construction cost and the cost increment brought by flexible operation, and the implicit cost of device accelerated wear or life accelerated reduction generated after the conventional unit provides flexibility;

[0010] Based on the power system operation scheduling result, statistically analyzing the up-regulation capacity shortage and the down-regulation capacity shortage, and extracting the maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage period operation data;

[0011] According to the regulation resource technical characteristics and the full life cycle cost analysis, and the regulation capacity shortage period data, a system regulation resource economic optimization configuration model is constructed, the constraint conditions of the model are determined, the model is solved, and the capacity configuration of the regulation resource is realized.

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

[0013] The objective function considers the cost of thermal power flexibility reconstruction, the cost of new thermal power, the investment cost of energy storage, the investment cost of pumped storage, and the cost of load side demand response, as well as the operation and maintenance cost of each type of regulation resource:

[0014] minC=C int +C om

[0015]

[0016] In the formula, C is the total cost of regulation resource configuration; C int is the investment cost; C om is the operation and maintenance cost; p is the discount rate; r is the equipment service life; C tpft,int is the unit capacity investment cost of thermal power flexibility reconstruction; P tpftInvestment cost of flexible retrofit capacity of thermal power; C es,int Investment cost of energy storage unit capacity; Capacity of energy storage configuration; C nt,int Investment cost of new thermal power unit capacity; New thermal power capacity; C ps,int Investment cost of pumped storage unit capacity; Pumped storage investment capacity; C dr,int Unit mileage cost of demand response; P dr Contracted demand response capacity;

[0017]

[0018] In the formula, Insufficient up-regulation operation and maintenance cost; Insufficient down-regulation operation and maintenance cost; UT Insufficient up-regulation shortage time; DT Insufficient down-regulation shortage time; Flexible retrofit unit operation and maintenance cost; Output of flexible retrofit unit during insufficient up-regulation period; New thermal power unit output cost; Output of new thermal power unit during insufficient up-regulation period; Pumped storage unit power generation cost; Pumped storage unit power generation during insufficient up-regulation period; Pumped storage unit water storage cost; Pumped storage unit water storage output during insufficient up-regulation period; Energy storage power generation cost; Energy storage power generation output during insufficient up-regulation period; Energy storage charging cost; Energy storage charging output during insufficient up-regulation period; Demand response cost; Demand response load shedding amount during insufficient up-regulation period; Demand response load increase cost; Demand response load increase amount during insufficient up-regulation period; Output of flexible retrofit unit during insufficient down-regulation period; Output of new thermal power unit during insufficient down-regulation period; Pumped storage unit power generation during insufficient down-regulation period; Pumped storage unit water storage output during insufficient down-regulation period; Energy storage power generation output during insufficient down-regulation period; To charge the output power of the energy storage in the period of insufficient down-regulation capacity; To cut the amount of load for demand response in the period of insufficient down-regulation capacity; To increase the amount of load for demand response in the period of insufficient down-regulation capacity.

[0019] Further, the constraint conditions of the system regulation resource economic optimization configuration model include:

[0020] (1) Power balance constraint:

[0021]

[0022] In the formula, is the load demand in the period of insufficient up-regulation capacity; is the amount of cut load; κ is the cut load improvement coefficient; is the load demand in the period of insufficient down-regulation capacity; is the amount of abandoned wind and light; λ is the abandoned wind and light improvement coefficient; is the output of other units except the regulation resource in the period of insufficient up-regulation capacity; is the output of other units except the regulation resource in the period of insufficient down-regulation capacity;

[0023] (2) Flexibility reconstruction related constraint of thermal power:

[0024]

[0025] In the formula, is the minimum output of the existing thermal power; is the maximum output of the flexibility reconstruction thermal unit; α is the flexible reconstruction potential coefficient of the thermal unit that can be flexibly reconstructed;

[0026] The flexibility reconstruction of thermal power meets the related constraint of up-regulation demand:

[0027]

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

[0029] The flexibility reconstruction of thermal power meets the related constraint of down-regulation demand:

[0030]

[0031] (3) Energy storage related constraint:

[0032]

[0033] In the formula, and are the newly added energy storage capacity limits;

[0034] The energy storage satisfies the upward regulation demand constraint:

[0035]

[0036] In the formula, is the charging amount of the t period; and is the charging and discharging amount for meeting the upward regulation demand; η es,ch and η es,dis is the charging and discharging efficiency; and is a binary variable, representing the charging and discharging state; and is the maximum charging and discharging amount; is the capacity of the energy storage in the period; and is the maximum and minimum storage capacity of the energy storage;

[0037] The energy storage satisfies the downward regulation demand constraint:

[0038]

[0039] In the formula, is the charging amount of the t period; and is the charging and discharging amount for meeting the downward regulation demand; η es,ch and η es,dis is the charging and discharging efficiency; and is a binary variable, representing the charging and discharging state; and is the maximum charging and discharging amount; is the capacity of the energy storage in the period; and is the maximum and minimum storage capacity of the energy storage;

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

[0041]

[0042] In the formula, is the maximum load demand; δ is the demand response coefficient of the maximum load limit;

[0043] The load side demand response satisfies the upward regulation demand constraint:

[0044]

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

[0046] The load side demand response satisfaction meets the downward adjustment demand related constraint:

[0047]

[0048]

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

[0050] Further, the power system regulation resource selection method comprises:

[0051] The operating range, minimum technical output, ramp rate and response time technical characteristics of the power system regulation resource are analyzed and determined;

[0052] The power system flexibility regulation demand direction and regulation time scale regulation capacity demand are determined;

[0053] According to the power system regulation capacity demand, the power system regulation resource is matched.

[0054] Further, the maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage belong to the period operation data extraction, comprising

[0055] The maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage belong to the period are selected;

[0056] The operation data of the maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage belonging to the period is obtained.

[0057] Further, the maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage belong to the period selection, comprising:

[0058] The maximum load shedding amount belongs to the time of the system load shedding situation caused by insufficient system power supply or sudden increase of load demand in the power system operation, and the 5 time periods before and after the time, a total of 10 time periods;

[0059] The maximum wind and light abandoned amount belongs to the time of the system wind and light abandoned situation caused by the increase of new energy output in the power system operation, and the 5 time periods before and after the time, a total of 10 time periods;

[0060] Further, the maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage belong to the period operation data, comprising:

[0061] The load demand data, load shedding power data and non-flexible unit output data in the period of the maximum up-regulation capacity shortage;

[0062] The load demand data, the abandoned wind and light power and the non-flexible unit output data in the period of the maximum down-regulation capacity shortage.

[0063] The device for optimizing the economic configuration of the power system regulation resource comprises:

[0064] The technical and economic characteristic analysis module is used for analyzing the technical characteristics and the life cycle cost of the flexible regulation resources such as the thermal power flexibility reconstruction, the energy storage and the demand response, and matching each type of regulation resource with the regulation capacity demand of the power system.

[0065] The system regulation capacity shortage statistical analysis module is used for analyzing the dispatching operation data of the power system, selecting the operation data in the period of the maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage, and including the load demand data, the load shedding power data, the abandoned wind and light power data and the non-flexible unit output data in the period of the maximum regulation capacity shortage.

[0066] The power system regulation resource economic optimization configuration module is used for carrying out the capacity configuration of each type of regulation resource of the power system according to the up-regulation and down-regulation capacity shortage conditions of the system dispatching operation and the technical and economic characteristics of each type of regulation resource, and meeting different system regulation capacity demands.

[0067] A computing device comprises:

[0068] One or more processing units;

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

[0070] When the one or more programs are executed by the one or more processing units, the one or more processing units execute the power system regulation resource economic optimization configuration method as described above.

[0071] A computer readable storage medium having a non-volatile program code executable by a processor, the computer program being executed by the processor to implement the steps of the power system regulation resource economic optimization configuration method as described above.

[0072] The power system regulation resource economic optimization configuration method and device have the following beneficial effects:

[0073] 1. The present application can configure appropriate proportions of each type of regulation resource for the regulation capacity demand of the power system, improve the regulation capacity of the power system and ensure the stability and reliability of the operation and dispatching of the power system under the background of high proportion of new energy access, by analyzing the technical characteristics of each type of regulation resource and the regulation resource economic and technical analysis considering the whole life cycle.

[0074] 2. The power system regulation resource economic optimization configuration can configure the capacity of various types of regulation resources, meet the upward regulation and downward regulation demand of the power system, and reduce the system load shedding and wind and light abandonment rate. BRIEF DESCRIPTION OF DRAWINGS

[0075] Figure 1 The peak regulation type of the thermal power generating unit provided for the embodiment of the present application;

[0076] Figure 2 The regulation resource proportion situation schematic diagram provided for the embodiment of the present application;

[0077] Figure 3 The flow chart of the power system regulation resource economic optimization configuration method provided for the embodiment of the present application;

[0078] Figure 4 The functional module diagram of the power system regulation resource economic optimization configuration provided for the embodiment of the present application;

[0079] Figure 5 The flow chart of the power system regulation resource economic optimization configuration model provided for the embodiment of the present application. DETAILED DESCRIPTION

[0080] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.

[0081] Embodiment 1

[0082] As shown in Figure 1 , 2 , 3, 5, the regulation resources providing regulation capacity for the power system can be divided into four categories according to the power supply side, the grid side, the load side and the energy storage. Among them, the power supply side can excavate the regulation potential of the built thermal power generating unit through the thermal power flexibility, realize the income increase of the thermal power generating unit, and also can call the higher flexible units such as hydropower and gas power. Facing the larger load demand increment, the demand can be met by adding new thermal power; the effective demand side management in 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 the regulation capacity improvement of the power system.

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

[0084] Table 1 Typical regulation resource characteristics

[0085]

[0086] (1) Flexible transformation of thermal power: Flexible transformation of existing thermal power units can significantly improve their regulation capacity. The existing transformation targets mainly include reducing the minimum output, rapid start-stop, and rapid load change, etc. Among them, reducing the minimum output of the thermal power unit (i.e. improving the peak regulation capacity of the thermal power) is the most important transformation target at present.

[0087] Considering the technical and cost characteristics of the thermal power unit under reduced output, the operation process of the thermal power unit can be divided into three stages: Regular Peak Regulation (RPR), Deep Peak Regulation without oil (DPR), and Deep Peak Regulation with oil (DPRO), as shown in Figure 1 When carrying out flexible transformation of thermal power, the transformation can be divided into non-oil peak regulation transformation and oil peak regulation transformation. According to the calculation of the minimum technical output before 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 operation cost of the thermal power unit is mainly the 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 the thermal power unit i under conventional peak regulation; P i,coal,t corresponds to the output of the thermal power unit i at time period t; V coal is the coal price; a, b, and c are coefficients related to the technical characteristics of the thermal power unit.

[0091] In the DPR and DPRO stages, reducing the output of the unit will cause equipment wear and tear, reducing the service life of the unit, so the wear and tear cost ω i,cost of the unit needs to be considered in this stage.

[0092] In the DPRO stage, the unit further reduces the output, and oil combustion is needed to maintain the stability of the boiler combustion, which needs to consider the oil combustion cost ω i,oil,t .

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

[0094]

[0095] In the formula, C i,coal,t is the operation cost of the thermal power unit; 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 is the minimum output in the DPRO stage.

[0096] Further, the output and climbing constraints of the thermal power unit are as follows.

[0097] The technical output constraints of the newly added thermal power unit and the flexible reconstructed thermal power unit mainly include: the upper and lower limits of the thermal power unit output and the climbing constraints of the thermal power unit.

[0098]

[0099]

[0100] In the formula, and are the upper and lower climbing rates of the thermal power unit, respectively; and are the maximum and minimum outputs of the thermal power unit, respectively.

[0101] (2) Energy storage: Under the real-time balance constraint of power and electricity, the energy storage device can discharge to ensure power supply when the load demand increases, and can charge to ensure new energy consumption when new energy is generated in large quantities, and has the ability to provide upward and downward power system regulation. In the past, the evaluation of the regulation capacity of energy storage was mainly based on the size of its capacity reserve. With the high penetration rate of renewable energy connected to the grid, it has become an important research direction to improve the available flexibility of the power system to tap the dynamic regulation capacity of energy storage.

[0102] 1) Pumped storage: Pumped storage can achieve the effect of "peak clipping and valley filling" by controlling the pumping and discharging time between the upper and lower reservoirs, and is the most mature energy storage technology solution at present.

[0103]

[0104] In the formula, is the pumping output; is the maximum power limit of pumping; Pmax Pmin Pmin and is a binary variable representing the state of the pumped storage.

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

[0106]

[0107] where, Qmax Qmin Qmin dn,t Qt dn,t Qt g is the acceleration of gravity, H c Hg y ηp ps,s ηp ps,d ηg

[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 climbing rate. The relevant constraints are as follows.

[0109]

[0110] where, Qt and Qc ηc es,c and ηc es,d ηc and is a binary variable representing the state of the pumped storage. Δt is the time period. and Qcmax Qe and Qemin

[0111] (3) Demand response on load side: The electrification transformation of various industrial sectors increases the demand for electricity, which is conducive to the consumption of new energy. By tapping the demand response potential of various power users, they can temporarily change their power consumption time according to price signals or incentive measures, reduce or increase power consumption in a certain period of time, which can improve the regulation capacity of the power system. The existing demand response methods mainly include load reduction and load shifting. Load shifting and reduction can provide downward regulation capacity during peak power consumption periods. In the period of large-scale new energy generation, load shifting can also provide upward regulation capacity. The constraints related to the two types of demand response on load side are as follows.

[0112]

[0113] wherein, is the load reduction amount; is the maximum reduction amount; and are the maximum and minimum amounts of load shifting, respectively; is the load shifting amount.

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

[0115] min C = C int + C om

[0116]

[0117] wherein, C is the total cost of regulation resource configuration; C int is the investment cost; C om is the operation and maintenance cost; p is the discount rate; r is the equipment service life; C tpft,int is the unit capacity investment cost of thermal power flexibility transformation; P tpft is the capacity of thermal power flexibility transformation; C es,int is the unit capacity investment cost of energy storage; is the capacity of energy storage configuration; C nt,int is the unit capacity investment cost of new thermal power; is the capacity of new thermal power; C ps,int is the unit capacity investment cost of pumped storage; is the capacity of pumped storage investment; C dr,int is the unit mileage cost of demand response; P dr is the contracted demand response capacity.

[0118]

[0119] wherein, For the up-regulation of insufficient capacity operation and maintenance cost; For the down-regulation of insufficient capacity operation and maintenance cost; UT For the up-regulation of insufficient capacity shortage time; DT For the down-regulation of insufficient capacity shortage time; For the flexibility of the unit operation and maintenance cost; For the flexibility of the unit output in the up-regulation of insufficient capacity period; For the output cost of new thermal power units; For the output of new thermal power units in the up-regulation of insufficient capacity period; For the pumped storage unit power generation cost; For the pumped storage unit power generation in the up-regulation of insufficient capacity period; For the pumped storage unit water storage cost; For the pumped storage unit water storage power in the up-regulation of insufficient capacity period; For the energy storage power generation cost; For the energy storage power generation in the up-regulation of insufficient capacity period; For the energy storage charging cost; For the energy storage charging power in the up-regulation of insufficient capacity period; For the demand response cost; For the demand response load shedding in the up-regulation of insufficient capacity period; For the demand response load increase cost; For the demand response load increase in the up-regulation of insufficient capacity period; For the flexibility of the unit output in the down-regulation of insufficient capacity period; For the output of new thermal power units in the down-regulation of insufficient capacity period; For the pumped storage unit power generation in the down-regulation of insufficient capacity period; For the pumped storage unit water storage power in the down-regulation of insufficient capacity period; For the energy storage power generation in the down-regulation of insufficient capacity period; For the energy storage charging power in the down-regulation of insufficient capacity period; For the demand response load shedding in the down-regulation of insufficient capacity period; For the demand response load increase in the down-regulation of insufficient capacity period.

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

[0121] (1) Power balance constraints:

[0122]

[0123]

[0124] In the formula, For periods when the upward adjustment capacity is insufficient, the load demand is met. κ is the load shedding power; κ is the load shedding improvement coefficient, which represents the load shedding situation that the configuration scheme aims to reduce compared with the basic scenario, and is interpreted as (1 - the ratio of the load shedding amount after configuration to the load shedding amount in the basic scenario). For the period of reduced adjustment capacity, the load demand is considered. λ represents the amount of wind and solar curtailment; λ is the wind and solar curtailment improvement coefficient, which represents the wind and solar curtailment reduction that the configuration scheme aims to achieve compared to the basic scenario. It is interpreted as (1 - the ratio of the wind and solar curtailment amount after configuration to the wind and solar curtailment amount in the basic scenario). To provide power to other generating units outside of the regulation resources during periods of insufficient upward regulation capacity; To provide power to other generating units outside of the regulation resources during periods of insufficient downward regulation capacity.

[0125] (2) Constraints related to the flexible transformation of thermal power plants

[0126]

[0127] In the formula, This represents the minimum output of existing thermal power plants; The maximum output of the thermal power unit is determined by its flexibility in modification; α is the potential coefficient for the modification of the thermal power unit that can be flexibly modified.

[0128] The flexibility retrofitting of thermal power plants meets the constraints related to upward adjustment demands:

[0129]

[0130] In the formula, β cl This represents the gradient coefficient.

[0131] The constraints related to the flexible retrofitting of thermal power plants to meet downward adjustment requirements:

[0132]

[0133] (3) Energy storage-related constraints:

[0134]

[0135] In the formula, and Limitations on new energy storage capacity.

[0136] Energy storage meets the constraints of upward adjustment demand:

[0137]

[0138] In the formula, The charging amount during period t; and Qd, t is the charge-discharge quantity to meet the upward adjustment demand; η es,ch and η es,dis is the charge-discharge efficiency; and is a binary variable representing the charge-discharge state; and is the maximum charge-discharge quantity; is the capacity of the energy storage in this period; and is the maximum and minimum storage capacity of the energy storage.

[0139] The energy storage meets the downward adjustment demand related constraints:

[0140]

[0141] wherein, is the charging quantity in period t; and Qd, t is the charge-discharge quantity to meet the upward adjustment demand; η es,ch and η es,dis is the charge-discharge efficiency; and is a binary variable representing the charge-discharge state; and is the maximum charge-discharge quantity; is the capacity of the energy storage in this period; and is the maximum and minimum storage capacity of the energy storage.

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

[0143]

[0144] wherein, is the maximum load demand; δ is the demand response coefficient of the maximum load limit.

[0145] The load side demand response meets the upward adjustment demand related constraints:

[0146]

[0147] wherein, and are Boolean variables used to constrain the same period demand response to only one of load shedding and load increasing.

[0148] The load side demand response meets the downward adjustment demand related constraints:

[0149]

[0150] wherein, and Boolean variable, used to constrain that demand response can only be one of load shedding and load increasing in the same time period.

[0151] The comprehensive calculation results in different scenarios are shown in Tables 2 and 3 by using the system regulation resource optimal configuration model.

[0152] Table 2 Comprehensive calculation results in different scenarios

[0153]

[0154] Table 3 Regulation resource investment cost results in different scenarios

[0155]

[0156] The proportion of each type of regulation resource configuration result is obtained, as shown in Table 4. Figure 3 It can be seen that the proportion of energy storage is large in the configuration structure, mainly because it has faster technical and economic characteristics. In scenario three, the constraints of load shedding and curtailment of wind and light are tightened, and the potential of demand response is realized.

[0157] Embodiment 2

[0158] This embodiment further illustrates the scheme described in the application by means of the device embodiment.

[0159] Figure 4 Fig. 1 shows a block diagram of a new energy typical time sequence scene generation and extraction device according to an embodiment of the application, as shown in Fig. 1, the device comprises: Figure 4

[0160] The regulation resource technical and economic characteristic analysis module 310 is configured to analyze the technical characteristics and full life cycle cost of flexible regulation resources such as thermal power flexibility reconstruction, energy storage, and demand response, and match each type of regulation resource with the demand of each type of regulation capacity of the power system.

[0161] The system regulation capacity shortage statistical analysis module 320 is configured to analyze the power system dispatching operation data, select the maximum up-regulation capacity shortage and the maximum down-regulation capacity shortage, and obtain the running data of the time period, including the load demand data, the load shedding power data, the wind and light curtailment power data, and the non-flexible unit output data.

[0162] The power system regulation resource economic optimization configuration module 330 is configured to configure the capacity of each type of regulation resource of the power system according to the up-regulation and down-regulation capacity shortage of the system dispatching operation and the technical and economic characteristics of each type of regulation resource, and meet the demand of different system regulation capacities.

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

[0164] one or more processing units;

[0165] a storage unit, configured to store one or more programs,

[0166] When the one or more programs are executed by the one or more processing units, the one or more processing units perform the power system regulating resource economic optimization configuration method in the embodiments. It should be noted that the computing device can include but is not limited to the processing unit and the storage unit. Those skilled in the art can understand that the computing device including the processing unit and the storage unit does not constitute a limitation to the computing device, and the computing device can include more components, or combine some components, or different components, for example, the computing device can also include an input / output device, a network access device, a bus, etc.

[0167] A computer readable storage medium having a non-transitory program code executable by a processor, the computer program being executed by the processor to implement the steps of the power system regulating resource economic optimization configuration method in the embodiments. It should be noted that the readable storage medium can be, for example, but is not limited to, an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. The program contained on the readable medium can be transmitted using any suitable medium, including, but not limited to, wireless, wireline, optical cable, RF, etc., or any suitable combination of the above. For example, the program code for performing the operations of the present application can be written in any combination of one or more programming languages, including an object-oriented programming language such as Java, C++, etc., or a conventional procedural programming language, such as the C programming language or similar programming languages. The program code can execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user's computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, connected to the Internet through an Internet service provider).

[0168] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some technical features; 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 application.

Claims

1. A method for optimal allocation of economic regulation resources of a power system, characterized in that, The method comprises the following steps: analyzing technical characteristics of each type of regulation resource, matching regulation capacity required by the power system, and selecting regulation resources of the power system; based on the regulation resources of the power system, analyzing full life cycle economic cost, wherein the full life cycle economic cost comprises explicit cost of initial investment construction cost and cost increment caused by flexible operation, and implicit cost of device accelerated wear or life accelerated reduction caused by conventional units providing flexibility; based on operation scheduling results of the power system, statistically analyzing up-regulation capacity deficiency and down-regulation capacity deficiency of the system, and extracting operation data of time periods to which maximum up-regulation capacity deficiency and maximum down-regulation capacity deficiency belong; according to the technical characteristics of the regulation resources and the full life cycle cost analysis, and the time period data of the regulation capacity deficiency, constructing an economic optimization configuration model of the system regulation resources, determining constraint conditions of the model, and solving the model to realize capacity configuration of the regulation resources; the objective function of the economic optimization configuration model of the system regulation resources comprises: the objective function considers flexible transformation cost of thermal power, cost of newly added thermal power, investment cost of energy storage, investment cost of pumped storage, and cost of demand response on the load side, and operation and maintenance cost corresponding to each type of regulation resource: min C=C int +C om In the formula, C is the total cost of adjusting resource configuration; C int is the investment cost; C om is the operation and maintenance cost; and p 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 reconstruction; tpft C is the thermal power flexibility reconstruction capacity; es,int C is the unit capacity investment cost of energy storage; C is the energy storage configuration capacity; nt,int P is the unit capacity investment cost of new thermal power; C is the new thermal power capacity; ps,int P is the unit capacity investment cost of pumped storage; C is the pumped storage investment capacity; dr,int P is the unit mileage cost of demand response; dr C is the contracted demand response capacity; In the formula, Up-regulation insufficient operation and maintenance cost; Down-regulation insufficient operation and maintenance cost; UT Up-regulation insufficient shortage time; DT Down-regulation insufficient shortage time; Flexible unit operation and maintenance cost; Flexible unit output during up-regulation insufficient period; Newly added thermal power unit output cost; Newly added thermal power unit output during up-regulation insufficient period; Pumped storage unit power generation cost; Pumped storage unit power generation during up-regulation insufficient period; Pumped storage unit water storage cost; Pumped storage unit water storage output during up-regulation insufficient period; Energy storage power generation cost; Energy storage power generation output during up-regulation insufficient period; Energy storage charging cost; Energy storage charging output during up-regulation insufficient period; Demand response cost; Demand response load shedding amount during up-regulation insufficient period; Demand response load increase cost; Demand response load increase amount during up-regulation insufficient period; Flexible unit output during down-regulation insufficient period; Newly added thermal power unit output during down-regulation insufficient period; Pumped storage unit power generation during down-regulation insufficient period; Pumped storage unit water storage output during down-regulation insufficient period; Energy storage power generation output during down-regulation insufficient period; Energy storage charging output during down-regulation insufficient period; Demand response load shedding amount during down-regulation insufficient period; Demand response load increase amount during down-regulation insufficient period.

2. The method of claim 1, wherein, constraint conditions of the economic optimization configuration model of the system regulation resources comprise: (1) power balance constraint: In the formula, P l uf,t is the load demand in the period of insufficient up-regulation capacity; is the amount of load shedding; κ is the load shedding improvement coefficient; P l df,t is the load demand in the period of insufficient down-regulation capacity; is the amount of wind and light curtailment; λ is the wind and light curtailment improvement coefficient; is the output of other units other than the regulation resources in the period of insufficient up-regulation capacity; is the output of other units other than the regulation resources in the period of insufficient down-regulation capacity; (2) constraint related to flexible transformation of thermal power: In the formula, is the minimum output of the existing thermal power; is the maximum output of the flexible reform thermal power unit; and α is the flexible reform potential coefficient of the flexible reform thermal power unit. constraint related to upward regulation demand satisfied by flexible transformation of thermal power: In the formula, β cl is a ramping coefficient; constraint related to downward regulation demand satisfied by flexible transformation of thermal power: (3) constraint related to energy storage: In the formula, and is the newly added energy storage capacity limit; constraint related to upward regulation demand satisfied by energy storage: wherein, is the charging amount for the period t; and is the charging and discharging amount to meet the upward adjustment demand; η es,ch and η es,dis is the charging and discharging efficiency; and is a binary variable representing the charging and discharging state; and is the maximum charging and discharging amount; is the capacity of the electric energy storage for the period; and is the maximum and minimum storage capacity of the electric energy storage; constraint related to downward regulation demand satisfied by energy storage: wherein, is the charging amount for the period t; and is the charging and discharging amount to meet the downward adjustment demand; η es,ch and η es,dis is the charging and discharging efficiency; and is a binary variable representing the charging and discharging state; and is the maximum charging and discharging amount; is the capacity of the electrical energy storage for the period t; and is the maximum and minimum storage capacity of the electrical energy storage; (4) constraint related to demand response on the load side: 0 < P dr ≤ δP l max In the formula, P l max is the maximum load demand; δ is the demand response coefficient of the maximum load limit; constraint related to upward regulation demand satisfied by demand response on the load side: In the formula, and is a Boolean variable, used to constrain that demand response in the same time period can only be one of load shedding and load increase; constraint related to downward regulation demand satisfied by demand response on the load side: In the formula, and is a Boolean variable, used to constrain that demand response in the same time period can only be one of load shedding and load increase.

3. The method of claim 1, wherein, the method for selecting the regulation resources of the power system comprises: analyzing and determining technical characteristics of operation range, minimum technical output, ramping rate, and response time of the regulation resources of the power system; determining regulation capacity demand of regulation time scale and regulation demand direction of flexibility of the power system; matching the regulation resources of the power system according to the regulation capacity demand of the power system.

4. The method of claim 1, wherein, the extraction of operation data of time periods to which the maximum up-regulation capacity deficiency and the maximum down-regulation capacity deficiency belong comprises selecting time periods to which the maximum up-regulation capacity deficiency and the maximum down-regulation capacity deficiency belong; obtaining operation data of time periods to which the maximum up-regulation capacity deficiency and the maximum down-regulation capacity deficiency belong.

5. The method of claim 4, wherein, the selection of time periods to which the maximum up-regulation capacity deficiency and the maximum down-regulation capacity deficiency belong comprises: 5 time periods before and after the time point to which the maximum load shedding amount belongs in the case of system load shedding caused by insufficient power supply or sudden increase of load demand in the operation of the power system, totally 10 time periods; 5 time periods before and after the time point to which the maximum wind and light curtailment amount belongs in the case of wind and light curtailment caused by increase of new energy output in the operation of the power system, totally 10 time periods.

6. The method of claim 5, wherein, the operation data of time periods to which the maximum up-regulation capacity deficiency and the maximum down-regulation capacity deficiency belong comprises: load demand data, load shedding power data, and non-flexibility unit output data in the time period to which the maximum up-regulation capacity deficiency belongs; The maximum down-regulation capability shortage belongs to a period of load demand data, abandoned wind and light power, and non-flexible unit output data.

7. The device for economic optimal allocation of regulating resources of a power system according to any one of claims 1-6, characterized in that, The method comprises the following steps: The regulating resource technical and economic characteristic analysis module is used for analyzing the technical characteristics and life cycle cost of thermal power flexibility reconstruction, energy storage, and demand response, and matching each type of regulating resource with each type of regulating capacity demand of the power system; The system regulating capacity shortage statistical analysis module is used for analyzing the power system dispatching operation data, selecting the operation data of the period of the maximum up-regulation capability shortage and the maximum down-regulation capability shortage, including the load demand data, load shedding power data, abandoned wind and light power data, and non-flexible unit output data of the period of the maximum regulating capacity shortage; The power system regulating resource economic optimization configuration module is used for carrying out capacity configuration of each type of regulating resource of the power system according to the up-regulation and down-regulation capacity shortage conditions of the system dispatching operation and the technical and economic characteristics of each type of regulating resource, so as to meet different system regulating capacity demands.

8. A computing device, comprising: The method comprises the following steps: One or more processing units; A storage unit for storing one or more programs, When the one or more programs are executed by the one or more processing units, the one or more processing units execute the method of any one of claims 1 to 6.

9. A computer readable storage medium having non-transitory program code executable by a processor, the program code causing the processor to perform operations comprising: The computer program is executed by the processor to realize the steps of the method of any one of claims 1 to 6.

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