Integrated energy system scheduling method and device considering flexible resource quantification

Abstract

The invention discloses an integrated energy system scheduling method and system considering flexible resource quantification, and the method comprises the steps: carrying out the quantification processing of the flexible demands of the load side fluctuation of an integrated energy system, the supply capability of flexible resources in the integrated energy system, and the flexible resource adjustment capability of the flexible resources between energy systems; according to the quantitative processing result, flexible supply and demand of the power system, the thermodynamic system and the gas system are calculated respectively; respectively and correspondingly determining flexibility constraint conditions of the electric power system, the thermal power system and the gas system; target functions of day-ahead and intra-day optimization scheduling of the integrated energy system are constructed respectively; based on constraint conditions, solving the objective function of the day-ahead optimization scheduling of the integrated energy system to obtain an optimal scheduling scheme of day-ahead optimization; and based on the flexibility constraint conditions of the electric power system, the thermal power system and the gas system, solving the objective function of the intra-day optimization scheduling of the integrated energy system to obtain an optimal scheduling scheme of intra-day optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy system scheduling, and in particular to an integrated energy system scheduling method and device considering the quantification of flexibility resources. Background Art

[0002] In view of the diversification of energy demand and the surge in the penetration of renewable energy, how to improve the operational flexibility of the energy system has become an urgent issue. The integrated energy system couples different types of energy flows such as electricity, heat, and natural gas, and uses the continuous innovation and iteration of energy conversion equipment, multi-energy integration, and new energy technologies to achieve the coordinated work of energy generation, transmission, distribution, use, and storage, forming a multi-energy coupling system that contains a large amount of flexibility resources.

[0003] CN116341881B discloses a robust advance dispatching method and system for an electric-thermal system taking into account the flexibility of a heat network, comprising: considering the balance of supply and demand of the heat network, constructing a quantitative model for the flexible adjustment capability of the heat network, and evaluating the backup support capability of the heat network to the power grid; introducing wind power acceptance risk, taking the minimum total operating cost as the goal, and constructing a robust advance dispatching model for an electric-thermal integrated energy system taking into account the flexibility recovery process and the flexibility supply process of the heat network according to the obtained backup support capability of the heat network to the power grid; solving the constructed advance dispatching model to realize coordinated advance dispatching of the electric-thermal system.

[0004] Although a lot of research has been done on the flexibility mining of integrated energy systems in the existing technology, there are still problems such as the lack of specificity in the quantification of flexibility, the complexity of energy flow relationships, and the large differences in the time scales of different energy transmissions. Summary of the invention

[0005] In order to address the deficiencies of the prior art, the present invention provides a comprehensive energy system scheduling method and device that considers the quantification of flexibility resources; the method quantifies a large number of flexibility resources in the system, and proposes a multi-time scale scheduling method for the comprehensive energy system, which respectively mines and utilizes different flexibility resources in the day-ahead and intra-day stages.

[0006] On the one hand, a comprehensive energy system scheduling method considering the quantification of flexibility resources is provided, including:

[0007] Quantify the flexibility requirements of load-side fluctuations in integrated energy systems;

[0008] Quantify the supply capacity of flexibility resources within the integrated energy system; Quantify the flexibility resource regulation capacity of flexibility resources between energy systems;

[0009] According to the quantitative processing results, the flexibility supply and demand of the power system, thermal system and gas system are calculated respectively; based on the flexibility supply and demand of the power, thermal and gas systems, the flexibility constraints of the power, thermal and gas systems are determined respectively;

[0010] The objective functions of the day-ahead and intraday optimization scheduling of the integrated energy system are respectively constructed; based on the flexibility constraints of the electricity, heat and gas systems, the objective function of the day-ahead optimization scheduling of the integrated energy system is solved to obtain the optimal scheduling scheme for the day-ahead optimization; based on the flexibility constraints of the electricity, heat and gas systems, the objective function of the intraday optimization scheduling of the integrated energy system is solved to obtain the optimal scheduling scheme for the intraday optimization.

[0011] On the other hand, a comprehensive energy system dispatching system considering the quantification of flexibility resources is provided, including:

[0012] A first processing module is configured to: quantify the flexibility demand of the load-side fluctuation of the integrated energy system;

[0013] The second processing module is configured to: quantify the supply capacity of the flexibility resources within the integrated energy system; quantify the flexibility resource adjustment capacity of the flexibility resources between the energy systems;

[0014] A calculation module is configured to: calculate the flexibility supply and demand of the power system, the thermal system and the gas system respectively according to the quantification processing result; and determine the flexibility constraint conditions of the power system, the thermal system and the gas system respectively based on the flexibility supply and demand of the power system, the thermal system and the gas system;

[0015] A solution module is configured to: construct objective functions for the day-ahead and intraday optimization scheduling of the integrated energy system respectively; solve the objective function for the day-ahead optimization scheduling of the integrated energy system based on the flexibility constraints of the power, thermal and gas systems to obtain the optimal scheduling plan for the day-ahead optimization; solve the objective function for the intraday optimization scheduling of the integrated energy system based on the flexibility constraints of the power, thermal and gas systems to obtain the optimal scheduling plan for the intraday optimization.

[0016] On the other hand, there is also provided an electronic device, comprising:

[0017] a memory for non-transitory storage of computer-readable instructions; and

[0018] a processor for executing the computer readable instructions,

[0019] When the computer-readable instructions are executed by the processor, the method described in the first aspect is executed.

[0020] On the other hand, a storage medium is provided, which non-temporarily stores computer-readable instructions, wherein when the non-temporary computer-readable instructions are executed by a computer, the instructions of the method described in the first aspect are executed.

[0021] On the other hand, a computer program product is provided, comprising a computer program, wherein the computer program is used to implement the method described in the first aspect when running on one or more processors.

[0022] The above technical solution has the following advantages or beneficial effects:

[0023] 1. The integrated energy system couples multiple energy flows and contains a large number of flexible resources. The traditional scheduling model takes into account the dynamic characteristics of the network and the energy consumption characteristics of the equipment, and optimizes the power balance capability and backup of the system. How to accurately quantify the regulation capabilities of the network and equipment has always been the key point for mining system flexibility. The present invention proposes a method for quantifying the flexibility of source, grid, load and storage in an integrated energy system, and uses mathematical formulas to express the flexibility supply and demand in the integrated energy system, which more accurately describes the backup capacity of the system.

[0024] 2. Different types of flexibility resources differ in response speed and regulation capabilities. In the same energy system, flexibility resources in different links also show different regulation characteristics. In order to effectively utilize multi-energy flows and multi-link flexibility resources to deal with power deviations in scheduling, this patent, based on the consideration of flexibility resources, establishes a multi-time scale coordinated scheduling model for an integrated energy system, covering two levels: day-ahead scheduling and intraday rolling scheduling. Day-ahead scheduling is based on hours, comprehensively considering the flexibility limitations of multiple energy systems, and formulating a 24-hour operation plan for the equipment; intraday rolling scheduling is based on the day-ahead plan, and uses rolling optimization methods to reduce the impact of power fluctuations in light of the differences in regulation time scales among electricity, heat, and natural gas. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0026] Figure 1 This is the multi-time scale scheduling framework of embodiment 1. DETAILED DESCRIPTION

[0027] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0028] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments of the present invention. The terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0030] In this embodiment, all data is obtained in compliance with laws and regulations and based on the user's consent, and is used legally.

[0031] Existing technologies are relatively rough in assessing the flexibility of integrated energy systems and do not accurately quantify network flexibility. They mostly optimize the flexibility resource allocation of the system on a single time scale, without considering the characteristics of different resources and making full use of them on multiple time scales.

[0032] Terminology explanation:

[0033] An integrated energy system refers to a system that effectively integrates and coordinates multiple forms of energy (such as electricity, heat, cold energy and renewable energy) to achieve efficient utilization and optimal allocation of energy.

[0034] Embodiment 1

[0035] This embodiment provides a comprehensive energy system scheduling method considering the quantification of flexibility resources;

[0036] An integrated energy system dispatching method considering the quantification of flexibility resources includes:

[0037] S101: Quantify the flexibility requirements of load-side fluctuations in the integrated energy system;

[0038] S102: Quantify the supply capacity of flexibility resources within the integrated energy system; quantify the flexibility resource adjustment capacity of flexibility resources between energy systems;

[0039] S103: Calculate the flexibility supply and demand of the power system, the thermal system and the gas system according to the quantification processing results; determine the flexibility constraints of the power system, the thermal system and the gas system according to the flexibility supply and demand of the power system, the thermal system and the gas system;

[0040] S104: construct objective functions for the day-ahead and intraday optimization scheduling of the integrated energy system respectively; based on the flexibility constraints of the power, thermal and gas systems, solve the objective function for the day-ahead optimization scheduling of the integrated energy system to obtain the optimal scheduling scheme for the day-ahead optimization; based on the flexibility constraints of the power, thermal and gas systems, solve the objective function for the intraday optimization scheduling of the integrated energy system to obtain the optimal scheduling scheme for the intraday optimization.

[0041] Furthermore, the S101: quantifying the flexibility demand of load-side fluctuations includes: quantifying the flexibility demand of wind power output, quantifying the flexibility demand of electric load fluctuations, and quantifying the flexibility demand of net load fluctuations.

[0042] Furthermore, the quantification of the flexibility demand for wind power output includes:

[0043]

[0044] Among them, P t wind.up represents the upward flexibility demand of wind power, represents the output of the wind farm during the period t+Δt, P t wind represents the output of the wind farm in period t, P t wind.dn Represents the downstream flexibility demand of the wind farm.

[0045] Furthermore, the flexibility requirement for the fluctuation of the electric load is quantified:

[0046] Assume that the load reserve rate in a certain dispatching period is k PL , then the maximum load demand in this scheduling period is (1+k PL ) L,t , the minimum value is (1-k PL ) L,t , load flexibility requirements:

[0047]

[0048] Among them, P t load,up P is the upward flexibility demand of the electric load within t~Δt, t load,dn k is the downward flexibility requirement of the electric load within t~Δt, PL Indicates the load reserve rate in a certain dispatching cycle, P L,t+Δt Represents the electrical load during the period t+Δt, P L,t Represents the electrical load during period t.

[0049] Based on the above analysis, the uncertainties on both the source and load sides are integrated into a single load side, thereby reducing the difficulty of analysis and scheduling.

[0050] Furthermore, the quantification of the flexibility demand for net load fluctuation includes:

[0051] The net load flexibility requirements of the power system are as follows:

[0052]

[0053] represents the upstream flexibility requirement of the system net load, P t load.up represents the upward flexibility demand of the electric load, P t wind.dn represents the downstream flexibility demand of wind power, represents the downstream flexibility requirement of the system net load, P t load.dn represents the downstream flexibility demand of the electric load, P t wind.u p Represents the upward flexibility demand for wind power.

[0054] Unlike the power system, the uncertainty of the thermal energy system comes only from the load, so its net load flexibility demand comes only from the load fluctuation, k HL , k GL are the reserve rates of heat load and gas load respectively.

[0055]

[0056] in, represents the upward flexibility demand of gas load, G L,t+Δt Indicates the gas load during the period t+Δt, G L,t represents the gas load during period t, It represents the downstream flexibility demand of gas load; represents the upward flexibility demand of heat load, H L,t+Δt represents the heat load during the period t+Δt, H L,t represents the heat load during period t, Represents the downward flexibility demand for heat load.

[0057] Furthermore, the supply capacity of flexibility resources in the energy system is quantified, including:

[0058] The flexibility supply capacity of the source-side controllable units is quantified, the flexibility supply capacity of the electric energy storage equipment is quantified, and the flexibility supply capacity of the natural gas system is quantified.

[0059] Quantification of flexibility resources within a single energy system: The flexibility resources within the energy system lie in the three links of source, load and storage. The previous steps have discussed the quantification of the flexibility demand on the load side. The subsequent steps will mainly quantify the flexibility supply capacity provided by the controllable units and energy storage equipment on the source side.

[0060] In the power system, thermal power units account for a large proportion of the controllable units on the source side. Their operation is not affected by the operation of other systems and can be adjusted and controlled according to actual operating needs.

[0061] Furthermore, the quantification of the flexibility supply capacity of the source-side controllable units includes:

[0062] The power system flexibility supply capacity is as follows:

[0063]

[0064] represents the upward flexibility of the power system, Indicates the upper limit of thermal power unit output. represents the output of thermal power unit i in period t, represents the upward climbing power of thermal power unit i, Δt represents the time interval, represents the downstream flexibility of the power system, represents the output of thermal power unit i in period t, Indicates the lower limit of thermal power unit treatment, Represents the downward climbing rate of unit i.

[0065] Furthermore, the quantification of the flexibility supply capability of the electric energy storage device includes:

[0066] The flexibility of adjusting the supply of electric energy storage equipment up and down is as follows:

[0067]

[0068] represents the upstream flexibility provided by the energy storage during period t, η dch Represents the discharge conversion efficiency of energy storage, S e,t represents the charge of the energy storage during period t, S e,min Indicates the minimum charge of energy storage, P r max represents the discharge rate of energy storage, Δt represents the time interval, represents the downstream flexibility provided by the energy storage during period t, η ch Represents the charging conversion efficiency of energy storage, S e,max Indicates the maximum charge of energy storage, P s max Indicates the charging rate of the energy storage.

[0069] Furthermore, the quantification of the flexible supply capacity of the natural gas system includes:

[0070] In the natural gas system, gas source is the main source of flexible supply. The flexible supply capacity of the natural gas system is as follows:

[0071]

[0072] represents the upstream flexibility provided by the natural gas system, Indicates the maximum value of the gas source output. It represents the output of the gas source in the period t-Δt, represents the upward climbing rate of the gas source, Δt represents the time interval, represents the downstream flexibility provided by the natural gas system, It represents the output of the gas source in the period t-Δt, Indicates the minimum value of the gas source output. Indicates the downward climbing rate of the gas source.

[0073] It should be understood that the heat source of the thermal system is the CHP unit, which couples the electricity-heat-gas system, and the flexibility analysis needs to consider the relationship between the different systems.

[0074] Further, S102: quantifying the flexibility resource adjustment capability of the flexibility resources between energy systems, including:

[0075] Quantify the flexibility demand generated by the CHP units in the natural gas system and the flexibility supply capacity provided by the CHP units in the power system and thermal system; and / or,

[0076] The flexibility supply capacity generated by gas turbines in the power system is quantified, and the flexibility demand generated in the natural gas system is quantified based on the flexibility supply capacity provided by the power system.

[0077] Energy coupling devices realize mutual energy interaction between energy systems and are a key way to improve the flexibility of multi-energy systems. However, there are some difficulties in quantifying the flexibility of these devices: first, the flexibility of the equipment is jointly affected by the operating conditions of multiple energy systems and cannot be analyzed only from the perspective of a single system; second, the equipment has different effects and impacts on the supply and demand of flexibility in different energy subsystems. In response to the above problems, this embodiment quantifies the flexibility supply capacity of flexibility resources between multiple energy systems.

[0078] Furthermore, the quantification of the flexibility demand generated by the CHP unit in the natural gas system includes:

[0079] The combined heat and power (CHP) unit simultaneously couples three heterogeneous energy sources: electricity, heat and gas. It provides flexibility supply in the power and heat systems while generating flexibility demand in the natural gas system. The flexibility demand generated by the combined heat and power (CHP) unit in the natural gas system is as follows:

[0080]

[0081]

[0082] represents the natural gas consumed by CHP unit i in period t, represents the upward flexibility demand of the CHP unit, Indicates the maximum gas consumption flow of the CHP unit. represents the maximum upward ramp rate of the CHP unit, Δt represents the time interval, represents the gas consumption of CHP unit i in the period t+Δt, Indicates the maximum downward ramp rate of the CHP unit, Indicates the maximum downward ramp rate of the CHP unit, Indicates the minimum gas consumption flow of the CHP unit. Indicates the maximum downward ramp rate of the CHP unit.

[0083] To simplify the model, this example studies the flexibility of the back-pressure CHP with a constant power-to-heat ratio.

[0084] Furthermore, the quantification of the flexibility supply capacity provided by the CHP unit in the power system and the thermal system includes:

[0085] Assume that the fixed electric-to-heat ratio of CHP is r i chp , assuming that the gas-to-electricity conversion efficiency of CHP is η i chp , the flexibility provided by CHP in the power system is as follows:

[0086]

[0087] The flexibility provided by CHP in the thermal system is as follows:

[0088]

[0089] It represents the upward flexibility supply of CHP units in the power system during period t, represents the gas-to-electricity conversion efficiency of CHP unit i, It represents the downward flexibility supply of CHP units in the power system during period t, represents the upward flexibility supply of CHP unit i in the thermal system during period t, r i ch p represents the heat-to-electricity ratio of the CHP unit, represents the upward flexibility demand of CHP units in the power system during period t, represents the downward flexibility supply of CHP unit i in the thermal system during period t, It represents the downward flexibility demand of CHP units in the power system during period t.

[0090] Gas turbines provide flexibility supply in the power system and flexibility demand in the natural gas system;

[0091] Furthermore, the quantification of the flexibility supply capacity generated by the gas turbine in the power system includes:

[0092] First, analyze the flexibility supply generated in the power system:

[0093]

[0094] represents the output of gas turbine i in period t, It is represented by the upward flexibility provided by gas turbine i in period t, P i gt,max represents the upper limit of the gas turbine output, represents the ramp-up rate of gas turbine i, represents the output of gas turbine i in the period t+Δt, It is represented by the downward flexibility provided by gas turbine i in period t, P i gt ,min Indicates the lower limit of gas turbine output, R i gt,dn represents the ramp-down rate of gas turbine i.

[0095] Furthermore, the quantification of the flexibility demand generated in the natural gas system according to the flexibility supply capacity provided by the power system includes:

[0096] Calculate the flexibility demand generated in the gas system based on the flexibility supply provided by the electricity system:

[0097]

[0098] represents the upward flexibility demand of gas turbine i in the natural gas system, represents the downward flexibility requirement of gas turbine i in the natural gas system, Indicates the conversion efficiency of the gas turbine.

[0099] Furthermore, the S103: according to the quantification processing result, the flexibility supply and demand of the power system, the thermal system and the gas system are calculated respectively, wherein the flexibility supply and demand of the power system include:

[0100] The flexibility supply of the power system comes from thermal power units, gas turbines, electric energy storage equipment and CHP units, and the flexibility demand comes from the net load flexibility demand caused by source-load uncertainty. The flexibility supply and flexibility demand of the power system are shown in equations (17) and (18), respectively:

[0101]

[0102] represents the upward flexibility supply of the power system in period t, represents the upward flexibility supply of thermal power units in period t, represents the upward flexibility supply of energy storage in period t, represents the upward flexibility supply of the gas turbine during period t, represents the upward flexibility supply of the CHP unit in period t, represents the downward flexibility supply of the power system in period t, represents the downward flexibility supply of the power system in period t, represents the downward flexibility supply of energy storage in period t, represents the downward flexibility supply of the gas turbine during period t, represents the downward flexibility supply of the CHP unit in period t, represents the upward flexibility supply of the power system in period t, represents the upward flexibility supply of load in period t, represents the downward flexibility supply of the power system in period t, represents the downward flexibility supply of load in period t, N tu Represents the number of thermal power units, N es Indicates the amount of energy storage, N gt represents the number of gas turbines, N chp Indicates the number of CHP units.

[0103] Furthermore, the S103: according to the quantification processing result, the flexibility supply and demand of the power system, the thermal system and the gas system are calculated respectively, wherein the flexibility supply and demand of the thermal system includes:

[0104] The flexibility supply of the thermal system comes from the CHP unit, and the flexibility demand comes from the heat load. The flexibility supply and flexibility demand of the thermal system are shown in equations (19) and (20) respectively:

[0105]

[0106] represents the upward flexibility supply of the thermal system in period t, represents the upward flexibility supply of the CHP unit in period t, represents the downward flexibility supply of the thermal system in period t, represents the downward flexibility supply of the CHP unit in period t, represents the upward flexibility demand of the thermal system in period t, represents the upward flexibility supply of heat load in period t, represents the downward flexibility demand of the thermal system in period t, Represents the downward flexibility supply of heat load during period t.

[0107] Furthermore, the S103: according to the quantification processing result, the flexibility supply and demand of the power system, the thermal system and the gas system are calculated respectively, wherein the flexibility supply and demand of the gas system includes:

[0108] The flexibility supply of the natural gas system comes from the gas source, and the flexibility demand comes from the gas load, CHP units and gas units. The flexibility supply and flexibility demand are shown in equations (21) and (22) respectively:

[0109]

[0110] represents the upward flexibility supply of the natural gas system in period t, Indicates the upward flexibility of the gas source during period t, N gas Indicates the quantity of gas source, represents the downward flexibility supply of the natural gas system in period t, Indicates the downward flexibility of the gas source during period t, represents the downward flexibility supply of the natural gas system in period t, represents the downward and upward flexibility supply of the natural gas system in period t, represents the upward flexibility demand of gas load in period t, represents the upward flexibility demand of the CHP unit in period t, Indicates the gas turbine's upstream flexibility requirements in the gas grid system, represents the downstream flexibility demand of the natural gas system in period t, represents the downward flexibility demand of gas load in period t, represents the upward flexibility demand of the CHP unit in period t, Represents the downstream flexibility demand of gas turbines in the gas grid system.

[0111] Furthermore, the S103: based on the flexibility supply and demand of the power, heat and gas systems, respectively correspondingly determining the flexibility constraints of the power, heat and gas systems includes:

[0112] In order to ensure that the system has sufficient regulation capacity to smooth out power fluctuations caused by source-load uncertainty during dispatch, the system flexibility supply must be no less than the flexibility demand:

[0113]

[0114] Equations (23), (24), and (25) represent the flexibility constraints in the electrical, thermal, and gas systems, respectively.

[0115] Furthermore, if Figure 1 As shown, the multi-time scale scheduling mentioned in this patent is analyzed from two scales: day-ahead scheduling and intra-day rolling scheduling.

[0116] The cycle of the day-ahead optimization scheduling is set to 24 hours, with scheduling performed every hour. The main goal is to achieve the most economical optimization of daily operation. At this stage, considering the thermal inertia of the heating area and the delayed characteristics of heat transfer, the flexibility of the heat load is used to cope with the power fluctuations in the system, and the initial output arrangement of each flexibility resource is formulated accordingly.

[0117] The intraday rolling dispatch is based on the day-ahead dispatch, and adjusts the output of each flexible resource by using the short-term forecast results of wind power. The dispatch cycle is set at 4 hours, updated every 15 minutes, and the wind power forecast data for the next 4 hours is updated every hour. The dispatch results of the first hour are maintained and rolling optimization is continuously performed. At this stage, the power fluctuations generated are mainly adjusted by flexible resources with fast response speed and strong climbing ability, such as fast adjustment units, coupling equipment and gas energy storage, etc., to minimize the adjustment of conventional power output such as thermal power units and gas sources, and reserve the adjustment capacity of fast response equipment to cope with short-term power fluctuations.

[0118] Furthermore, the S104: constructs objective functions for the day-ahead and intra-day optimization scheduling of the integrated energy system respectively, wherein the objective function for the day-ahead optimization scheduling includes:

[0119] The objective function of the day-ahead scheduling stage is to minimize the single-day operating cost, as shown in formula (26).

[0120]

[0121] F ahead represents the daily operating cost of the system, C fuel represents the fuel cost, Represents the unit operating cost, Represents the penalty cost for wind curtailment.

[0122] The daily operating costs include fuel cost, operating cost, and wind curtailment penalty cost. The quantification methods of fuel cost and wind curtailment penalty cost are shown in equations (27) and (28):

[0123]

[0124] Where: a u ,b u ,c u is the operating cost coefficient of thermal power units, is the output of thermal power unit u in period t, is the gas source output cost coefficient, is the output of gas source ω in period t. N wind is the number of wind farms, is the abandoned wind power of wind farm w in period t, is the wind curtailment cost coefficient of wind farm w.

[0125] Day-ahead operating costs It comes from the CHP unit and the electric energy storage device, as shown in formula (29).

[0126]

[0127] Indicates the output of the combined heat and power unit, represents the cost coefficient of the combined heat and power unit, represents the energy storage cost coefficient, Indicates the energy storage charging power, Represents the energy storage discharge cost.

[0128] Due to the impact of forecast duration and accuracy, the dispatch plan made in the day-ahead stage may be different from the actual operation. In order to improve the accuracy of the integrated energy system dispatch, in the intraday stage, the dispatch cycle is adjusted to 4 hours, the time interval is shortened to 15 minutes, and the short-term forecast of wind power is continuously updated through the rolling optimization method, while considering the change trend of wind power over a longer period of time.

[0129] Furthermore, the S104: constructs objective functions for the day-ahead and intra-day optimization scheduling of the integrated energy system respectively, wherein the objective function for the intra-day optimization scheduling includes:

[0130] Intraday scheduling also takes the lowest cost as the objective function, as shown in formula (30).

[0131]

[0132] F inday represents the intraday scheduling cost, Indicates the cost of equipment output change, Indicates the equipment operating cost, represents the penalty cost of wind curtailment, represents the load shedding penalty cost.

[0133] The costs include equipment output change costs, equipment operating costs, wind curtailment penalty costs and load shedding penalty costs.

[0134] By integrating the flexible configuration and output of multiple energy resources, the power gap in the system can be made up, while minimizing the power adjustment demand for traditional power sources such as thermal power generation and gas sources, and retaining sufficient electric energy storage equipment to achieve rapid response.

[0135]

[0136] Indicates the equipment output adjustment amount. represents the cost coefficient of power change of thermal power units, represents the cost coefficient of the change in gas source power, Indicates the change in the gas source output power, represents the cost coefficient of energy storage power change, Indicates the change in energy storage charging power, Indicates the change in energy storage discharge power, represents the daily unit operating cost, represents the output cost coefficient of the cogeneration unit, represents the consumption of natural gas by the combined heat and power unit, a i 、b i 、c i represents the cost coefficient of thermal power units, represents the system penalty cost, represents the wind curtailment cost coefficient, represents the change in wind power abandonment, represents the wind curtailment cost coefficient, Indicates the amount of load shedding in the system.

[0137] Embodiment 2

[0138] This embodiment provides a comprehensive energy system scheduling system considering the quantification of flexibility resources, including:

[0139] A first processing module is configured to: quantify the flexibility demand of the load-side fluctuation of the integrated energy system;

[0140] The second processing module is configured to: quantify the supply capacity of the flexibility resources within the integrated energy system; quantify the flexibility resource adjustment capacity of the flexibility resources between the energy systems;

[0141] A calculation module is configured to: calculate the flexibility supply and demand of the power system, the thermal system and the gas system respectively according to the quantification processing result; and determine the flexibility constraint conditions of the power system, the thermal system and the gas system respectively based on the flexibility supply and demand of the power system, the thermal system and the gas system;

[0142] A solution module is configured to: construct objective functions for the day-ahead and intraday optimization scheduling of the integrated energy system respectively; solve the objective function for the day-ahead optimization scheduling of the integrated energy system based on the flexibility constraints of the power, thermal and gas systems to obtain the optimal scheduling plan for the day-ahead optimization; solve the objective function for the intraday optimization scheduling of the integrated energy system based on the flexibility constraints of the power, thermal and gas systems to obtain the optimal scheduling plan for the intraday optimization.

[0143] It should be noted that the first processing module, the second processing module, the calculation module and the solution module correspond to steps S101 to S104 in Embodiment 1, and the examples and application scenarios implemented by the modules and the corresponding steps are the same, but are not limited to the contents disclosed in Embodiment 1. It should be noted that the modules as part of the system can be executed in a computer system such as a set of computer executable instructions.

[0144] The description of each embodiment in the above embodiments has different emphases. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0145] The proposed system can be implemented in other ways. For example, the system embodiment described above is only illustrative, and the division of the modules is only a logical function division. In actual implementation, there may be other division methods, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0146] Embodiment 3

[0147] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein the processor is connected to the memory, and the one or more computer programs are stored in the memory. When the electronic device is running, the processor executes the one or more computer programs stored in the memory so that the electronic device executes the method described in the above embodiment one.

[0148] It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general-purpose processors, digital signal processors DSP, application-specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0149] The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory. For example, the memory may also store information about the device type.

[0150] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software.

[0151] The method in the first embodiment can be directly embodied as a hardware processor, or a combination of hardware and software modules in the processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware. To avoid repetition, it will not be described in detail here.

[0152] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0153] Embodiment 4

[0154] This embodiment further provides a computer-readable storage medium for storing computer instructions. When the computer instructions are executed by a processor, the method described in the first embodiment is completed.

[0155] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An integrated energy system scheduling method considering the quantification of flexibility resources, characterized by: include: Quantify the flexibility requirements of load-side fluctuations in integrated energy systems; Quantify the supply capacity of flexibility resources within the integrated energy system; Quantify the flexibility resource adjustment capacity of flexibility resources between energy systems; According to the quantitative processing results, the flexibility supply and demand of the power system, thermal system and gas system are calculated respectively; based on the flexibility supply and demand of the power, thermal and gas systems, the flexibility constraints of the power, thermal and gas systems are determined respectively; The objective functions of the day-ahead and intraday optimization scheduling of the integrated energy system are respectively constructed; based on the flexibility constraints of the electricity, heat and gas systems, the objective function of the day-ahead optimization scheduling of the integrated energy system is solved to obtain the optimal scheduling scheme for the day-ahead optimization; based on the flexibility constraints of the electricity, heat and gas systems, the objective function of the intraday optimization scheduling of the integrated energy system is solved to obtain the optimal scheduling scheme for the intraday optimization.

2. The integrated energy system scheduling method considering the quantification of flexible resources as claimed in claim 1 is characterized in that: According to the quantitative processing results, the flexibility supply and demand of the power system, thermal system and gas system are calculated respectively. The flexibility supply and demand of the power system include: The flexibility supply of the power system comes from thermal power units, gas turbines, electric energy storage equipment and CHP units, and the flexibility demand comes from the net load flexibility demand caused by source-load uncertainty. The flexibility supply and flexibility demand of the power system are shown in equations (17) and (18), respectively: represents the upward flexibility supply of the power system in period t, represents the upward flexibility supply of thermal power units in period t, represents the upward flexibility supply of energy storage in period t, represents the upward flexibility supply of the gas turbine during period t, represents the upward flexibility supply of the CHP unit in period t, represents the downward flexibility supply of the power system in period t, represents the downward flexibility supply of the power system in period t, represents the downward flexibility supply of energy storage in period t, represents the downward flexibility supply of the gas turbine during period t, represents the downward flexibility supply of the CHP unit in period t, represents the upward flexibility supply of the power system in period t, represents the upward flexibility supply of load in period t, represents the downward flexibility supply of the power system in period t, represents the downward flexibility supply of load in period t, N tu Represents the number of thermal power units, N es Indicates the amount of energy storage, N gt represents the number of gas turbines, N chp Indicates the number of CHP units.

3. The integrated energy system scheduling method considering the quantification of flexible resources as claimed in claim 1 is characterized in that: According to the quantitative processing results, the flexibility supply and demand of the power system, thermal system and gas system are calculated respectively. The flexibility supply and demand of the thermal system include: The flexibility supply of the thermal system comes from the CHP unit, and the flexibility demand comes from the heat load. The flexibility supply and flexibility demand of the thermal system are shown in equations (19) and (20) respectively: represents the upward flexibility supply of the thermal system in period t, represents the upward flexibility supply of the CHP unit in period t, represents the downward flexibility supply of the thermal system in period t, represents the downward flexibility supply of the CHP unit in period t, represents the upward flexibility demand of the thermal system in period t, represents the upward flexibility supply of heat load in period t, represents the downward flexibility demand of the thermal system in period t, Represents the downward flexibility supply of heat load during period t.

4. The integrated energy system scheduling method considering the quantification of flexible resources as claimed in claim 1 is characterized in that: According to the quantitative processing results, the flexibility supply and demand of the power system, thermal system and gas system are calculated respectively. The flexibility supply and demand of the gas system include: The flexibility supply of the natural gas system comes from the gas source, and the flexibility demand comes from the gas load, CHP units and gas units. The flexibility supply and flexibility demand are shown in equations (21) and (22) respectively: represents the upward flexibility supply of the natural gas system in period t, Indicates the upward flexibility of the gas source during period t, N gas indicates the amount of gas source, represents the downward flexibility supply of the natural gas system in period t, Indicates the downward flexibility of the gas source during period t, represents the downward flexibility supply of the natural gas system in period t, represents the downward and upward flexibility supply of the natural gas system in period t, represents the upward flexibility demand of gas load in period t, represents the upward flexibility demand of the CHP unit in period t, Indicates the gas turbine's upstream flexibility requirements in the gas grid system, represents the downstream flexibility demand of the natural gas system in period t, represents the downward flexibility demand of gas load in period t, represents the upward flexibility demand of the CHP unit in period t, Represents the downstream flexibility demand of gas turbines in the gas grid system.

5. The integrated energy system scheduling method considering the quantification of flexible resources as claimed in claim 1 is characterized in that: Based on the flexibility supply and demand of the power, heat and gas systems, the flexibility constraints of the power, heat and gas systems are determined respectively, including: In order to ensure that the system has sufficient regulation capacity to smooth out power fluctuations caused by source-load uncertainty during dispatch, the system flexibility supply must be no less than the flexibility demand: Equations (23), (24), and (25) represent the flexibility constraints in the electrical, thermal, and gas systems, respectively.

6. The integrated energy system scheduling method considering the quantification of flexible resources as claimed in claim 1 is characterized in that: The objective functions of the day-ahead and intraday optimization scheduling of the integrated energy system are constructed respectively. The objective function of the day-ahead optimization scheduling includes: The objective function of the day-ahead scheduling stage is to minimize the single-day operating cost, as shown in formula (26): F ahead represents the system’s daily operating cost, C fuel represents the fuel cost, Represents the unit operating cost, represents the penalty cost for wind curtailment; The operating cost of the day-ahead phase comes from the CHP unit and the electric energy storage equipment, as shown in formula (29): represents the operating cost of the day-ahead phase, Indicates the output of the combined heat and power unit, represents the cost coefficient of the combined heat and power unit, represents the energy storage cost coefficient, Indicates the energy storage charging power, Represents the energy storage discharge cost.

7. The integrated energy system scheduling method considering the quantification of flexible resources as claimed in claim 1 is characterized in that: The objective functions of the day-ahead and intraday optimization scheduling of the integrated energy system are constructed respectively. The objective function of the intraday optimization scheduling includes: Intraday scheduling also takes the lowest cost as the objective function, as shown in formula (30): F inday represents the intraday scheduling cost, Indicates the cost of equipment output change, Indicates the equipment operating cost, y represents the penalty cost of wind curtailment, represents the load shedding penalty cost; Indicates the equipment output adjustment amount. represents the cost coefficient of power change of thermal power units, represents the cost coefficient of the change in gas source power, Indicates the change in the gas source output power, represents the cost coefficient of energy storage power change, Indicates the change in energy storage charging power, Indicates the change in energy storage discharge power, represents the daily unit operating cost, represents the output cost coefficient of the cogeneration unit, represents the consumption of natural gas by the combined heat and power unit, a i , b i 、c i represents the cost coefficient of thermal power units, represents the system penalty cost, represents the wind curtailment cost coefficient, represents the change in wind power abandonment, represents the wind curtailment cost coefficient, Indicates the amount of load shedding in the system.

8. An integrated energy system dispatching system considering the quantification of flexibility resources, characterized by: include: A first processing module is configured to: quantify the flexibility demand of the load-side fluctuation of the integrated energy system; The second processing module is configured to: quantify the supply capacity of the flexibility resources within the integrated energy system; quantify the flexibility resource adjustment capacity of the flexibility resources between the energy systems; A calculation module is configured to: calculate the flexibility supply and demand of the power system, the thermal system and the gas system respectively according to the quantification processing result; and determine the flexibility constraint conditions of the power system, the thermal system and the gas system respectively based on the flexibility supply and demand of the power system, the thermal system and the gas system; A solution module is configured to: construct objective functions for the day-ahead and intraday optimization scheduling of the integrated energy system respectively; solve the objective function for the day-ahead optimization scheduling of the integrated energy system based on the flexibility constraints of the power, thermal and gas systems to obtain the optimal scheduling plan for the day-ahead optimization; solve the objective function for the intraday optimization scheduling of the integrated energy system based on the flexibility constraints of the power, thermal and gas systems to obtain the optimal scheduling plan for the intraday optimization.

9. An electronic device, comprising: a memory for non-transitory storage of computer readable instructions; as well as a processor for executing the computer readable instructions, When the computer-readable instructions are executed by the processor, the method described in any one of claims 1 to 7 is executed.

10. A storage medium, characterized in that: The computer-readable instructions are non-transitory stored, wherein when the non-transitory computer-readable instructions are executed by a computer, the instructions of the method according to any one of claims 1 to 7 are executed.

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