Multi-region integrated energy park optimal scheduling method considering spinning reserve market access qualification

Abstract

The invention provides a multi-region integrated energy park optimal scheduling method considering spinning reserve market access qualification. The method comprises the following steps: constructing a typical integrated energy park of which the architecture comprises energy supply equipment, energy conversion equipment, energy storage equipment and energy consumption; putting forward a strategy of considering multi-operator cooperation bidding to meet spinning reserve market access qualification requirements; constructing a two-stage resource combination model according to the strategy, combining the to-be-combined resources provided by the park, and taking the combined resources meeting the access qualification requirement as standby resources; and establishing a multi-region integrated energy park economic optimization operation model which comprises a plurality of standby resources, considers the comprehensive demand response and takes the economic optimization of the integrated energy park group as a target so as to realize the optimal scheduling of the multi-region integrated energy park. According to the invention, the problem that a small operator is difficult to meet the market access qualification of spinning reserve is solved, and the flexibility and stability of the power system are enhanced on the basis of maximizing the income.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy park optimization and scheduling, and in particular to a multi-region integrated energy park optimization and scheduling method taking into account spinning reserve market access qualifications. Background Art

[0002] Electricity demand response is a flexible and fast means of regulation that can improve demand elasticity and smooth load curves in the short term, and have a positive impact on electricity prices and park operations. It has the characteristics of shifting peaks and filling valleys, reducing peak electricity demand, and improving the stability and efficiency of power grid operation. It can also optimize the operation of power plants, enhance the ability of the power grid to absorb intermittent distributed energy, and promote the level of interaction between the power grid and users. As a supply guarantee measure in the power market environment, demand response has been given priority by power authorities at all levels and power grid companies.

[0003] With the development of energy technology, the limitations of traditional demand response have gradually become apparent. On the one hand, load transfer may reduce user comfort, affect output value and satisfaction, and be limited by user willingness; on the other hand, the multi-energy complementary characteristics of the integrated energy park make the conversion between electricity and other energy sources more flexible, and the overall adjustable characteristics of the park are more obvious. Integrated demand response came into being. As an extension of traditional demand response, it not only has its advantages, but also can adjust the energy supply mode when the electricity price is peak or the reliability of the park is threatened, greatly expanding the range of adjustable load equipment, and is an important supplement to traditional demand-side management.

[0004] The main goal of integrated energy demand response is to optimize the supply and demand relationship of integrated energy parks, solve the contradiction between supply and demand, achieve the goals of power peak shaving, frequency and voltage regulation, absorption of new energy, and relief of line overload. However, at this stage, there are still some problems with integrated energy demand response. For example, existing technical inventions are mostly concentrated on the low-carbon economic dispatch of CIES, and there is a lack of in-depth research on the SRM access qualification issues existing in practice (mainly including minimum power requirements and minimum duration requirements), which inevitably has a certain impact on the accuracy of decision-making schemes. In view of the problem of resource waste caused by small operators' difficulty in meeting the qualification requirements established by the spinning reserve market, considering that the duration and reserve power of reserve resources have certain plasticity and can be aggregated, therefore, in order to better promote the effective use of resources, improve decision-making flexibility, and obtain greater benefits, it is necessary to efficiently combine different resources in each park and then participate in the market together. Summary of the invention

[0005] In view of the problems existing in the above-mentioned prior art, the present invention, based on a two-stage resource combination model that considers the market access qualifications of rotating reserve, establishes a multi-regional integrated energy park optimization scheduling method that includes multiple reserve resources, considers comprehensive demand response, and takes CIES group economic optimality as the goal; it aims to effectively reduce the park operating costs, promote the effective use of resources, improve decision-making flexibility, and obtain greater benefits.

[0006] In order to achieve the above technical objectives, the present invention proposes a multi-regional integrated energy park optimization scheduling method taking into account the spinning reserve market access qualifications, which specifically includes the following steps: P1. Construct a typical integrated energy park, wherein the architecture of the typical integrated energy park includes energy supply equipment, energy conversion equipment, energy storage equipment, and energy consumption; P2. A strategy is proposed to consider multi-operator cooperative bidding to meet the SRM access qualification requirements of the spinning reserve market; a two-stage resource combination model is constructed based on this strategy to combine a variety of resources to be combined provided by a typical integrated energy park; the combined resources that meet the SRM access qualification requirements are used as standby resources; the SRM access qualification requirements include the shortest continuous time requirement and the minimum standby power requirement; P3. Establish an economic optimization operation model for a multi-regional integrated energy park that includes a variety of backup resources, considers comprehensive demand response IDR, and takes the economic optimization of the integrated energy park CIES group as the goal, so as to achieve optimal scheduling of multi-regional integrated energy parks.

[0007] Based on the above technical solution, the present invention has at least the following beneficial effects: The present invention proposes a multi-operator cooperative bidding strategy, which significantly reduces the total operation cost of the park and improves the reserve market income and the total power participating in the reserve market by considering the resource combination model of the spinning reserve market access qualification and the multi-park resource combination optimization operation mode. The method proposed in the present invention effectively solves the problem that small operators find it difficult to meet the spinning reserve market access qualification. By reasonably dispatching the controllable equipment in the park, the economy of the integrated energy system is maximized, and the flexibility and stability of the power system are enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them: Figure 1 This is a typical integrated energy park architecture diagram; Figure 2It is the electricity energy market and SRM electricity price diagram; Figure 3 Provide a power diagram for the source load prediction of Park 1; Figure 4 Produce a load forecast diagram for Park 2; Figure 5 It is the maximum duration graph of the first type of unqualified resources in the two parks; Figure 6 This is the bidding volume map for scenario S1 Park 1; Figure 7 This is the bidding volume map for scenario S1 Park 2; Figure 8 This is the total bidding map of the S1 park; Fig. 9 This is the bidding volume map for scenario S2 Park 1; Fig.10 This is the bidding volume map for scenario S2 Park 2; Fig.11 This is the total bidding map of the S2 park; Fig.12 The backup duration diagram provided for the two campus IDR resources in scenario S2; Fig.13 The bidding power diagram provided for the IDR resources of the two parks in scenario S2; Fig.14 This is the scheduling result diagram of Park 2 in scenario S1; Fig.15 This is the scheduling result diagram of Park 2 in scenario S2; Fig.16 This is the S1CHP unit dispatch result diagram for the scenario; Fig.17 This is the S2CHP unit dispatch result diagram. DETAILED DESCRIPTION

[0009] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0010] Although the steps in the present invention are arranged with numbers, they are not used to limit the order of the steps. Unless the order of the steps is clearly stated or the execution of a certain step requires other steps as a basis, the relative order of the steps can be adjusted. It is understood that the term "and / or" used in this article involves and covers any and all possible combinations of one or more of the associated listed items.

[0011] like Figure 1-17As shown, the present invention proposes a multi-regional integrated energy park optimization scheduling method taking into account the spinning reserve market access qualification, which specifically includes the following steps: P1. Construct a typical integrated energy park, wherein the architecture of the typical integrated energy park includes energy supply equipment, energy conversion equipment, energy storage equipment, and energy consumption; As a preferred embodiment, Figure 1 As shown, in a typical integrated energy park constructed in step P1: Energy supply equipment includes distributed photovoltaic PV, oil and gas pipelines and upper-level power grids; Energy conversion equipment includes micro-turbines MT, combined heat and power units CHP, waste heat boilers HRB, central air conditioners AC, lithium bromide refrigerators LBR, and gas boilers GB; central air conditioners AC, lithium bromide refrigerators LBR, and gas boilers GB; The energy storage device includes electrochemical energy storage EES and heat storage tank HS; Energy consumption includes cooling, heating, electrical loads and comprehensive energy demand response.

[0012] P2. A strategy is proposed to consider multi-operator cooperative bidding to meet the SRM access qualification requirements of the spinning reserve market; a two-stage resource combination model is constructed based on this strategy to combine a variety of resources to be combined provided by a typical integrated energy park; the combined resources that meet the SRM access qualification requirements are used as standby resources; the SRM access qualification requirements include the shortest continuous time requirement and the minimum standby power requirement; As a preferred implementation, step P2 specifically includes: P21. For multiple adjustable resources aggregated by different operators, the maximum energy that a single resource can provide is limited within a given parameter. The maximum energy that a single resource can provide is defined as the product of the duration and the power that can be provided, and the formula is expressed as: ; in, and Respectively represent i Resources in t The available power and duration of the time period; is the maximum energy that the resources to be combined can provide; I is the collection of all resources to be combined; T is the scheduling period; P22. According to whether the resources meet the minimum duration requirement of SRM and the minimum standby power requirement, the resources are divided into qualified resources and unqualified resources; qualified resources directly participate in market profit, and unqualified resources need to be combined; the unqualified resources are further divided into three categories: the first category is unqualified time resources; the second category is unqualified power resources; the third category is unqualified time and power resources; P23, two-stage resource combination for unqualified resources; In the first stage, the resources to be combined with unqualified duration are first combined and converted into combined resources with qualified duration. If the power of the combined resources is also qualified at this time, the combined resources will be put into the market to participate in profit. If the power of the combined resources is still unqualified at this time, the second stage of combination is carried out to combine the combined resources with qualified duration with the second type of unqualified resources. The combined resources obtained in the second stage fully meet the SRM access qualification requirements and are put into the market to participate in profit. It should be noted that in the actual combination, the third type of unqualified resources are first regarded as the first type of unqualified resources for the first stage combination, but their power still does not meet the minimum power requirements of SRM, so in the second stage combination, they are combined together with the second type of unqualified resources.

[0013] More specifically, the constraints in the two-stage resource combination process and the power calculation process of the combined resources in each stage are as follows: Constraint 1: The duration of the combined time-ineligible resources must not be less than the shortest duration in the market. The formula is: ; in, The first type of unqualified resources i duration, is a collection of unqualified resources of the first category; is a 0-1 variable indicating whether the first type of unqualified resource i participates in the combination in period t; is a 0-1 variable indicating whether the first-stage combination was successful, It is the shortest duration, determined by market mechanisms; is the margin factor, which smooths out the uncertainty of the combined resources; Constraint 2: Only when the first-stage combination of the first-type resources is successful can they participate in the second-stage combination. The formula is expressed as: ; Constraint 3: The backup power of each first-category unqualified resource must be within its limit, calculated as: ; in, , are the minimum and maximum output power of unqualified resource i respectively; The power calculation formula for the combined resources in the first stage is: ; in, The power of the combined resources for the first stage; The first type of unqualified resources i exist t Reserve power for the time period; The power calculation formula for the combined resources in the second stage is: ; in, is the reserve power of the combined resources in the second phase of period t; The reserve power for the second category of unqualified resources.

[0014] P3. Establish a multi-regional integrated energy park economic optimization operation model that includes multiple backup resources, considers integrated demand response IDR, and takes the economic optimization of the integrated energy park CIES group as the goal, so as to achieve the optimal scheduling of multi-regional integrated energy parks; As a preferred implementation, the objective function of the multi-regional integrated energy park economic optimization operation model established in step P3 is: ; Among them, F is the total cost; r is the comprehensive energy park index, and R is the total number of comprehensive energy park groups; The cost of purchasing gas; The cost of interacting with the grid; Costs required to implement IDR; Market revenue for CIES groups participating in the electrical energy-spinning reserve market.

[0015] In this embodiment, the calculation method of each cost is specifically as follows: Gas purchase cost :For any IES, the gas purchase cost includes three parts: the fuel cost of CHP, GB and MT units, and the formula is: ; in, is the gas purchase price; is the power generation capacity of the CHP unit; is the heating power of GB; is the power generation of MT; , , They are the power generation efficiency of the CHP unit, the heating efficiency of the GB, and the power generation efficiency of the MT; is the simulation time interval; It is the lower calorific value of natural gas combustion; Interaction costs with the grid The calculation formula is: ; in, Time-of-use electricity price for the power grid; To interact with the power grid; Costs of implementing IDR : Considering that IDR consists of reducible loads, shiftable loads and replaceable model loads, The formula is expressed as: ; in, , , The compensation unit price for demand response replacement of curtailable load, shiftable load and replaceable load respectively; , , They are demand responses for load reduction, load shifting, and load substitution; e Energy type, including electricity, heat and cold; The calculation formula for the market revenue of the CIES group participating in the electric energy-reserve market is: ; in, is the unit electricity price of spinning reserve market, is a 0-1 variable indicating whether the CIES group participates in the spinning reserve market, The reserve power of combined resources to participate profitably in the market.

[0016] As a preferred implementation, in step P3, the economic optimization operation model of the multi-regional integrated energy park specifically includes: comprehensive demand response modeling and constraints, related equipment modeling and constraints, CIES group participation in the spinning reserve market modeling and constraints;

[0017] In this embodiment, comprehensive demand response modeling and constraints include: Considering the demand response of shiftable electric load, curtailable electric load and replaceable load as a means of regulation and control to participate in the comprehensive demand response, the formula is expressed as follows: ; in, Respectively e The total load of energy sources is t The total load before and after the time period and the integrated demand response IDR; , Respectivelye Energy forms that can shift loads and reduce loads t Demand response volume during the time period; For the e The alternative load of energy forms is t The load change after demand response occurs during the time period; , They represent electrical load, cooling load and heating load respectively; And set the following constraints: Shiftable load demand response constraints: ; in, They are t The maximum and minimum adjustable power values ​​of the load that can be shifted during a time period; Demand response constraints for curtailable load: ,in, for t The maximum value of load that can be reduced during a period; Modeling and constraints of alternative load demand response: The electric load is set to be replaced by the cooling and heating loads in the positive direction; at the same time, the mathematical model for designing the replaceable load demand response is as follows, based on the effective calorific value conversion coefficient between energies multiplied by the load replacement amount: ; ; ; ; ; ; in, ; They are t The load change amount and its upper limit after the demand response of the alternative load of the e-th energy form in the time period; for t The load substitution between two energy sources in a time period. When the value is positive, it means that the former energy source is replaced by the latter energy source; when the value is negative, it means that the latter energy source is replaced by the former energy source. is the upper limit of load substitution; Represents the substitution state between the two energy sources, taking 1 when the load substitution direction is positive, otherwise taking -1; is the effective calorific value conversion coefficient between the two energy sources; Total load constraints for participating in IDR: ; in, Expressed ast Total load after taking into account IDR during the period; They are the upper and lower limits of the total load after taking into account IDR; Energy satisfaction constraints: use It represents energy satisfaction. When the end user does not participate in IDR, his energy satisfaction is the highest, which is recorded as ; After participating in IDR, due to the change in electricity consumption and the generation of a new load curve, the greater the change between the new load curve and the original load curve, The lower the value, the formula is: .

[0018] The relevant device constraints include: CHP constraints for combined heat and power units: ; ; ; ; ; ; ; ; ; in, Respectively c Taiwan CHP t Power generation and heating power in each time period; is the amount of natural gas input to CHP; is the power generation efficiency of CHP; is the ramp rate of CHP; They are the upper and lower limits of CHP output respectively; is a 0-1 variable representing the operating status of CHP; are 0-1 variables representing the startup and shutdown behaviors of CHP, respectively; They are the minimum and maximum startup time of CHP respectively; is the minimum shutdown time of CHP; GB constraints for gas boilers: ; ; in, GB t Heating power during the time period; is the amount of natural gas input to GB; is the heating efficiency of GB; They are the lower and upper boundaries of GB output respectively; Micro turbine MT constraints: ; ; ; ; ; ; ; in, Respectively m MT units t The power generated during the period; is the ramp rate of the MT unit; They are the upper and lower limits of the output of the MT unit respectively; is a 0-1 variable representing the operating status of MT; are 0-1 variables representing the MT startup and shutdown behaviors respectively; They are the minimum and maximum startup time of MT respectively; It is the MT small shutdown time; Electric and thermal energy storage constraints. The setting method of thermal energy storage constraints is the same as that of electric energy storage constraints. In this embodiment, electric energy storage is taken as an example. The electric energy storage constraints are set as follows: ; ; ; ; ; ; in, are the charging and discharging power of energy storage respectively; are 0-1 variables representing the charging and discharging states of energy storage, respectively; They are the upper limits of energy storage charging and discharging power respectively; To store the remaining electricity; They are the lower and upper boundaries of the remaining energy storage capacity, respectively; They are the remaining power of the energy storage at the end of the scheduling period and the remaining power at the start of the scheduling period; Air conditioner AC and lithium bromide refrigerator LBR constraints: ; ; ; in, They are the power consumption and cooling power of the air conditioner respectively; is the energy efficiency ratio of the air conditioner; are the cooling power and heat absorption power of the refrigerator respectively; is the energy conversion efficiency of the refrigerator; is the upper limit of the refrigeration power of the refrigerator; Energy balance constraints: ; ; ; in, is the photovoltaic power; It is the interaction power between the park and the power grid; Park constraints: ; ; in, The upper limit of the interaction power between the park and the power grid; An upper limit on the volume of natural gas purchased for the park.

[0019] In this embodiment, the CIES group participates in the spinning reserve market modeling including: Spare capacity constraints: The reserve capacity of the park is set to be provided by CHP units, micro-turbines, curtailable load demand response and replaceable load demand response, among which curtailable load demand response and replaceable load demand response are used as time unqualified resources, and CHP units and micro-turbines are used as power unqualified resources; the following modeling is performed: ; ; ; ; ; ; ; in, The reserve power provided by curtailable load demand response; They are the reserve power provided by electric heating substitution and electric cooling substitution demand response respectively; They are the electric heat replacement amount and the upper limit of the electric heat replacement amount respectively; They are the electric cooling replacement amount and the upper limit of the electric cooling replacement amount respectively; , They are the effective calorific value conversion coefficients for electric heating substitution and electric cooling substitution respectively; , are the reduction amount and upper limit of the load that can be reduced respectively; They are the standby power provided for CHP units and micro-turbines; Spinning reserve market access qualification constraints: ; ; ; in, is the minimum reserve power in the spinning reserve market, is the maximum value; is a 0-1 variable indicating whether the park participates in the spinning reserve market, The reserve power of combined resources to participate profitably in the market.

[0020] This is the entire content of the method proposed in the present invention. The effect of the method proposed in the present invention will be analyzed in conjunction with an application example below.

[0021] Application Examples 1. Basic Data In this embodiment, two Figure 1 The comprehensive energy park shown in the figure, each IES park contains 3 MT, 3 CHP units, 1 photovoltaic unit, 1 gas boiler, 1 electric energy storage unit, 1 thermal energy storage unit and cold, hot and electric loads. The dispatching period is 1 day, divided into 24 periods. The data of CHP units, gas boilers, lithium bromide refrigerators, air conditioners, electric energy storage and thermal energy storage can be found in the document "Optimal Operation of Energy Hubs in Commercial Parks Considering Comprehensive Demand Response"; the data of micro-turbines can be found in the document "Bidding strategy of microgrid with consideration of uncertainty for participating in power market"; the electricity market price and SRM price are as follows Figure 2 The photovoltaic output and multi-energy load levels of the two IES are shown in Figure 3 , Figure 4 As shown; the demand response related parameters can be found in the document "Quantification Method of Integrated Energy Equipment Response Value Based on Global Sensitivity Analysis"; the maximum duration of the first type of unqualified resources is as follows Figure 5 As shown; the minimum power requirement of SRM is 2MW and the minimum duration requirement is 1h.

[0022] In order to verify the impact of the resource combination strategy considering the ancillary service market access qualification proposed in the present invention on the operation of the park, the following two scenarios are set up for comparative analysis. The scenarios are as follows: S1 scenario: resource combination between CIES is not considered, and each IES operates relatively independently; S2 scenario: Considering the resource combination between CIES, the resource combination model considering the ancillary service market access qualifications is incorporated into the CIES optimization model.

[0023] 2. Analysis of optimization results First, the overall operation results of the park under the two scenarios are analyzed, and the comparison of various operating costs is shown in Table 1.

[0024] Table 1 Total operating costs of the two parks under different scenarios ; As can be seen from Table 1, from the perspective of the economic efficiency of the park operation, compared with scenario S1, the total operating cost of the park is reduced by about 4.2% after the resource combination model considering the spinning reserve market access qualifications. Among them, the sub-items with large differences are IDR costs, reserve market revenues, and CHP costs. Scenario S1 did not consider the combination of resources, resulting in some resources not being able to meet the market access threshold, and the revenue from the reserve market was 1,289.7 yuan; while scenario S2 considered the resource combination to meet the reserve market access qualifications, generating a reserve market revenue of 4,062.74 yuan.

[0025] 3. Analysis of the Park’s Participation in the Reserve Market Figure 6-11 The details of the bidding capacity of the two parks participating in the reserve market under two scenarios are given. Figure 6-8 is the bidding result of scenario S1, Figure 9-11 This is the result of the combined bidding for scenario S2. As can be seen from the figure, in scenario 1 without considering the combination of multi-park resources, Park 1 participated in the backup market in 7 time periods with a participating power of 14529.5kw, and Park 2 participated in the backup market only in the 21st time period, and the participating capacity just met the minimum backup power demand of 2000kw; while in scenario S2, the participating time period was increased to 20 time periods, the total participating power of Park 1 was 26538.5kw, and the total participating power of Park 2 was 25133.9kw. In the case of combined bidding, the power of the parks participating in the backup market increased by 35142.9kw.

[0026] Further by Figure 6-11It can be seen that, whether it is Park 1 or Park 2, the CHP units provide more backup power, followed by MT units, and finally the backup provided by IDR. This is because, on the one hand, CHP and MT have fuel costs, and park operators tend to obtain income from the backup market and save power generation costs; on the other hand, the three backup resources of CHP, MT and IDR all have two attributes of electric energy power and backup power. The operator's expected scheduling goal is to find the optimal solution that minimizes the cost among the electric energy power and backup power of multiple resources. IDR resources are mainly manifested in "peak shaving and valley filling", that is, load transfer in during periods of low electricity prices, and load transfer out or reduction during periods of high electricity prices. Therefore, IDR resources will only provide backup power when the electricity price level is low from 00:00 to 7:00 and around 15:00. In other periods of high electricity prices, operators are more inclined to apply IDR resources to electric energy power.

[0027] Figure 12-13 The duration and power details of the first type of unqualified resources (IDR resources) in the two parks participating in the reserve market under scenario S2 are given. Compared with scenario S1, where IDR resources can only be combined with themselves (reserve provided by load reduction and reserve provided by alternative demand response), scenario S2 allows the IDR resources of park 1 to be combined with the IDR resources of park 2 in the first stage on this basis, effectively improving resource utilization.

[0028] To sum up, under the method proposed in the present invention, park operators can bid in the reserve market through cooperation to obtain more profits, and the cooperative model gives operators more choices in resource selection, that is, to optimize economic scheduling strategies in participating in electric energy (reserve market) or cooperating in the reserve market.

[0029] 4. Analysis of Park Dispatch Results Taking Park 2 as an example, where the two scenarios of participating in the backup market are quite different, the impact of the resource combination strategy before and after considering the ancillary service market access qualification on the scheduling results of the park is analyzed.

[0030] Fig.14 , Fig.15 The black dashed line in the middle shows the original load level before demand response. Fig.14 , Fig.15It is known that the main reasons for the obvious output difference between the two scenarios are the interactive power with the grid, the output of the CHP units and the demand response. Compared with scenario S1, scenario S2 takes into account the profit model of the two parks' cooperative bidding to participate in the reserve service market. Therefore, the CHP units, MT units and IDR resources that can provide reserve power are more prone to change. Specifically, compared with CHP units, due to the weaker climbing ability of MT units, the reserve power that can be provided is lower, and the fuel costs of the two are similar. Therefore, when scheduling, the park will be more inclined to apply MT units to electric energy balance and CHP units to the reserve market. Therefore, the output of MT units in the two scenarios is close. As for CHP units, Figure 16-17 The dispatch results of CHP units are given. Scenario S1 uses only one CHP unit for power supply before 7:00, while scenario S2 uses two CHP units for power supply at the same time, and also provides more standby power. This is because scenario S2 takes into account multi-park cooperative bidding, and can cooperate with other parks before 7:00 to meet the qualification requirements to participate in the market for profit. In the two time periods of 7:00-10:00 and 19:00-22:00, the CHP units in scenario S2 generate nearly 300kw more electricity than the CHP units in scenario S1, and the electricity sales also increase. As can be seen from Figure 2, these two time periods are the time periods with the highest electricity prices. Compared with scenario S1, since two CHP units in scenario S2 have been started before 7:00, its dispatch strategy of "more generation and more sales" in this time period further reduces costs.

[0031] Since the units have maximum startup time and minimum shutdown time constraints, the units that start up earlier need to shut down for a period of time around 15:00. Fig. 9 It can be seen that the standby transaction power is relatively low at this time.

[0032] According to the theoretically derived formula and simulation results, the following conclusions can be drawn: 1) Compared with the scenario where the combination of multiple park resources is not considered to meet the reserve market qualification access conditions, the total operating cost of the park is reduced by about 4.2%, the income from the reserve market is increased by 215.01%, and the total power participating in the reserve market is increased by 241.87%.

[0033] 2) On the basis of considering the combined bidding of multi-park resources, in order to maximize the operating economy of the IES group, the method proposed in the present invention can reasonably dispatch the controllable equipment in the park and solve the optimal strategy between electric energy power and backup power.

[0034] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0035] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications, characterized in that: The specific steps include: P1. Construct a typical integrated energy park, wherein the architecture of the typical integrated energy park includes energy supply equipment, energy conversion equipment, energy storage equipment, and energy consumption; P2. A strategy is proposed to consider multi-operator cooperative bidding to meet the SRM access qualification requirements of the spinning reserve market; a two-stage resource combination model is constructed based on this strategy to combine a variety of resources to be combined provided by a typical integrated energy park; the combined resources that meet the SRM access qualification requirements are used as standby resources; the SRM access qualification requirements include the shortest continuous time requirement and the minimum standby power requirement; P3. Establish an economic optimization operation model for a multi-regional integrated energy park that includes a variety of backup resources, considers comprehensive demand response IDR, and takes the economic optimization of the integrated energy park CIES group as the goal, so as to achieve optimal scheduling of multi-regional integrated energy parks.

2. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 1, characterized in that: In a typical integrated energy park constructed in step P1: Energy supply equipment includes distributed photovoltaic PV, oil and gas pipelines and upper-level power grids; Energy conversion equipment includes micro-turbines MT, combined heat and power units CHP, waste heat boilers HRB, central air conditioners AC, lithium bromide refrigerators LBR, and gas boilers GB; central air conditioners AC, lithium bromide refrigerators LBR, and gas boilers GB; The energy storage device includes electrochemical energy storage EES and heat storage tank HS; Energy consumption includes cooling, heating, electrical loads and comprehensive energy demand response.

3. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 1, characterized in that: Step P2 specifically includes: P21. For multiple adjustable resources aggregated by different operators, the maximum energy that a single resource can provide is limited within a given parameter. The maximum energy that a single resource can provide is defined as the product of the duration and the power that can be provided, and the formula is expressed as: ； in, and Respectively represent i Resources in t The available power and duration of the time period; is the maximum energy that the resources to be combined can provide; I is the collection of all resources to be combined; T is the scheduling period; P22. According to whether the resources meet the minimum duration requirement of SRM and the minimum standby power requirement, the resources are divided into qualified resources and unqualified resources; qualified resources directly participate in market profit, and unqualified resources need to be combined; the unqualified resources are further divided into three categories: the first category is unqualified time resources; the second category is unqualified power resources; the third category is unqualified time and power resources; P23, two-stage resource combination for unqualified resources; In the first stage, the resources to be combined with unqualified duration are first combined and converted into combined resources with qualified duration. If the power of the combined resources is also qualified at this time, the combined resources will be put into the market to participate in profit. If the power of the combined resources is still unqualified at this time, the second stage of combination is carried out to combine the combined resources with qualified duration with the second type of unqualified resources. The combined resources obtained in the second stage fully meet the SRM access qualification requirements and are put into the market to participate in profit.

4. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 3, characterized in that: The constraints in the two-stage resource combination process and the power calculation process of the combined resources in each stage are as follows: Constraint 1: The duration of the combined time-ineligible resources must not be less than the shortest duration in the market. The formula is: ； in, The first type of unqualified resources i duration, is the collection of the first type of unqualified resources; is a 0-1 variable indicating whether the first type of unqualified resource i participates in the combination in period t; is a 0-1 variable indicating whether the first-stage combination was successful, It is the shortest duration, determined by market mechanisms; is the margin factor, which smooths out the uncertainty of the combined resources; Constraint 2: Only when the first-stage combination of the first-type resources is successful can they participate in the second-stage combination. The formula is expressed as: ； Constraint 3: The backup power of each first-category unqualified resource must be within its limit, calculated as: ； in, , are the minimum and maximum output power of unqualified resource i respectively; The power calculation formula for the combined resources in the first stage is: ； in, The power of the combined resources for the first stage; The first type of unqualified resources i exist t Reserve power for the time period; The power calculation formula for the combined resources in the second stage is: ； in, is the reserve power of the combined resources in the second phase of period t; It is the reserve power of the second category of unqualified resources.

5. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 2, characterized in that: The objective function of the multi-regional integrated energy park economic optimization operation model established in step P3 is: ； Among them, F is the total cost; r is the comprehensive energy park index, and R is the total number of comprehensive energy park groups; The cost of purchasing gas; The cost of interacting with the grid; Costs required to implement IDR; Market revenue for CIES groups participating in the electrical energy-spinning reserve market.

6. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 5, characterized in that: The calculation method of each cost is as follows: Gas purchase cost :For any IES, the gas purchase cost includes three parts: the fuel cost of CHP, GB and MT units, and the formula is: ； in, is the gas purchase price; is the power generation capacity of the CHP unit; is the heating power of GB; is the power generation of MT; , , They are the power generation efficiency of the CHP unit, the heating efficiency of the GB, and the power generation efficiency of the MT; is the simulation time interval; It is the lower calorific value of natural gas combustion; Cost of interacting with the grid The calculation formula is: ； in, Time-of-use electricity price for the power grid; To interact with the power grid; Costs of implementing IDR : Considering that IDR consists of reducible loads, shiftable loads and replaceable model loads, The formula is expressed as: ； in, , , The compensation unit price for demand response replacement of curtailable load, shiftable load and replaceable load respectively; , , They are demand responses for load reduction, load shifting, and load substitution; e is the energy type, including electricity, heat and cold; The calculation formula for the market revenue of the CIES group participating in the electric energy-reserve market is: ； in, is the unit electricity price of spinning reserve market, is a 0-1 variable indicating whether the CIES group participates in the spinning reserve market, The reserve power of combined resources to participate profitably in the market.

7. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 2, characterized in that: In step P3, the economic optimization operation model of the multi-regional integrated energy park specifically includes: comprehensive demand response modeling and constraints, related equipment modeling and constraints, and CIES group participation in the spinning reserve market modeling and constraints.

8. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 7, characterized in that: Comprehensive demand response modeling and constraints include: Considering the demand response of shiftable electric load, curtailable electric load and replaceable load as a means of regulation and control to participate in the comprehensive demand response, the formula is expressed as follows: ； in, Respectively e The total load of energy sources is t The total load before and after the time period and the integrated demand response IDR; , Respectively e Energy forms that can shift loads and reduce loads t Demand response volume during the time period; For the e The alternative load of energy forms is t The load change after demand response occurs during the time period; , Respectively represent electrical load, cooling load and heating load; And set the following constraints: Shiftable load demand response constraints: ; in, They are t The maximum and minimum adjustable power values ​​of the load that can be shifted during a time period; Demand response constraints for curtailable load: ,in, for t The maximum value of load that can be reduced during a period; Modeling and constraints of alternative load demand response: The electric load is set to be replaced by the cooling and heating loads in the positive direction; at the same time, the mathematical model for designing the replaceable load demand response is as follows, based on the effective calorific value conversion coefficient between energies multiplied by the load replacement amount: ； ； ； ； ； ； in, ; They are t The load change amount and its upper limit after the demand response of the alternative load of the e-th energy form in the time period; for t The load substitution between two energy sources in a time period. When the value is positive, it means that the former energy source is replaced by the latter energy source; when the value is negative, it means that the latter energy source is replaced by the former energy source. is the upper limit of load substitution; Represents the substitution state between the two energy sources, taking 1 when the load substitution direction is positive, otherwise taking -1; is the effective calorific value conversion coefficient between the two energy sources; Total load constraints for participating in IDR: ； in, Expressed as t Total load after taking into account IDR during the period; They are the upper and lower limits of the total load after taking into account IDR; Energy satisfaction constraints: use It represents energy satisfaction. When the end user does not participate in IDR, his energy satisfaction is the highest, which is recorded as ; After participating in IDR, due to the change in electricity consumption and the generation of a new load curve, the greater the change between the new load curve and the original load curve, The lower the value, the formula is: 。 9. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 7, characterized in that: The relevant device constraints include: Combined heat and power unit CHP constraints: ； ； ； ； ； ； ； ； ； in, Respectively c Taiwan CHP t Power generation and heating power in each time period; is the amount of natural gas input to CHP; is the power generation efficiency of CHP; is the ramp rate of CHP; They are the upper and lower limits of CHP output respectively; is a 0-1 variable representing the operating status of CHP; are 0-1 variables representing the startup and shutdown behaviors of CHP, respectively; They are the minimum and maximum startup time of CHP respectively; is the minimum shutdown time of CHP; GB constraints for gas boilers: ； ； in, For GB t Heating power during the time period; is the amount of natural gas input to GB; is the heating efficiency of GB; They are the lower and upper boundaries of GB output respectively; Micro turbine MT constraints: ； ； ； ； ； ； ； in, Respectively m MT units t The power generated during the period; is the ramp rate of the MT unit; They are the upper and lower limits of the output of the MT unit respectively; is a 0-1 variable representing the operating status of MT; are 0-1 variables representing the MT startup and shutdown behaviors respectively; They are the minimum and maximum startup time of MT respectively; It is the MT small shutdown time; Electric and thermal energy storage constraints: Taking electric energy storage as an example, the setting method of thermal energy storage constraints is the same; ； ； ； ； ； ； in, are the charging and discharging power of energy storage respectively; are 0-1 variables representing the charging and discharging states of energy storage, respectively; They are the upper limits of energy storage charging and discharging power respectively; To store the remaining electricity; They are the lower and upper boundaries of the remaining energy storage capacity, respectively; They are the remaining power of the energy storage at the end of the scheduling period and the remaining power at the start of the scheduling period; Air conditioner AC and lithium bromide refrigerator LBR constraints: ； ； ； in, They are the power consumption and cooling power of the air conditioner respectively; is the energy efficiency ratio of the air conditioner; are the cooling power and heat absorption power of the refrigerator respectively; is the energy conversion efficiency of the refrigerator; is the upper limit of the refrigeration power of the refrigerator; Energy balance constraints: ； ； ； in, is the photovoltaic power; It is the interaction power between the park and the power grid; Park constraints: ； ； in, The upper limit of the interaction power between the park and the power grid; An upper limit on the volume of natural gas purchased for the park.

10. A multi-regional integrated energy park optimization scheduling method taking into account spinning reserve market access qualifications according to claim 9, characterized in that: CIES Group participation in spinning reserve market modelling includes: Spare capacity constraints: The reserve capacity of the park is set to be provided by CHP units, micro-turbines, curtailable load demand response and replaceable load demand response, among which curtailable load demand response and replaceable load demand response are used as time unqualified resources, and CHP units and micro-turbines are used as power unqualified resources; the following modeling is performed: ； ； ； ； ； ； ； in, The reserve power provided by curtailable load demand response; They are the reserve power provided by electric heating substitution and electric cooling substitution demand response respectively; They are the electric heat replacement amount and the upper limit of the electric heat replacement amount respectively; They are the electric cooling replacement amount and the upper limit of the electric cooling replacement amount respectively; , They are the effective calorific value conversion coefficients for electric heating substitution and electric cooling substitution respectively; , are the reduction amount and upper limit of the load that can be reduced respectively; They are the standby power provided for CHP units and micro-turbines; Spinning reserve market access qualification constraints: ； ； ； in, is the minimum reserve power in the spinning reserve market, is the maximum value; is a 0-1 variable indicating whether the park participates in the spinning reserve market, The reserve power of combined resources to participate profitably in the market.

Images