Scheduling method and system for wind-solar-thermal multi-energy complementary integrated energy system

Abstract

The invention discloses a wind-light-fire multi-energy complementary integrated energy system scheduling method and system, and relates to the technical field of integrated energy system scheduling, and the method comprises the steps: obtaining the initial data information of a target integrated energy system; based on the initial data information, respectively constructing a photovoltaic plant station output operation constraint time sequence model and a wind power plant station output operation constraint time sequence model; establishing a fine-grained safety boundary model of the thermal power generating unit; constructing an aggregation equivalent grid-connected point power balance constraint model; based on the aggregation equivalent grid-connected point power balance preset model, constructing an optimized operation scheduling model; and solving the optimized operation scheduling model based on a preset optimized operation scheduling model solving constraint model to obtain scheduling data information of the target integrated energy system. The technical problem that in the prior art, stability and safety are low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy system scheduling, and specifically to a method and system for scheduling an integrated energy system with wind, solar, and thermal multi-energy complementarity. Background Art

[0002] As a new type of electric energy system solution, the wind, solar and thermal multi-energy complementary integrated energy system integrates regional solar power generation, wind power generation and thermal power generation, aiming to improve energy utilization efficiency, give play to the potential of multi-energy complementation, reduce dependence on coal-fired fossil energy, and enhance the stability, safety and reliability of the electric energy system with a high proportion of new energy access to the power grid. For some desert, Gobi and wasteland areas, referred to as Shagohuang areas, there is great potential for using new energy for power generation. Therefore, in recent years, large-scale installations of solar energy, wind power generation and other large-scale installations have been carried out in Shagohuang areas, using new energy to generate electricity and delivering electricity to load-concentrated areas.

[0003] Regional power energy systems dominated by renewable energy often find it difficult to respond quickly to fluctuations and unpredictability in energy demand, and their inherent intermittency and instability bring new challenges to the stable operation of large power grids. By planning and building small-scale thermal power generating units and operating them in conjunction with regional power energy systems dominated by renewable energy, the volatility, intermittency and instability of renewable energy can be alleviated, and the stability and economy of renewable energy power generation and transmission can be improved. Based on this, the wind, solar and thermal multi-energy complementary integrated energy system came into being, which achieves energy complementarity by integrating wind, solar and thermal resources. The integrated energy system can dynamically coordinate and adjust the output of each energy source according to the demand of the power grid and the real-time supply of each energy source, improve energy utilization efficiency, reduce operating costs and improve system stability.

[0004] However, the existing wind, solar and thermal multi-energy complementary integrated energy system still has shortcomings in safety boundary modeling and scheduling methods: when wind, solar and thermal are integrated and coordinated and complementary, there is a lack of effective fine-grained safety domain constraint support; in the process of optimizing scheduling, the existing power energy system schedules the resources of a single power plant, ignoring the physical constraints and economic factors within the energy system, resulting in the scheduling results being unable to meet the maximization of the comprehensive benefits of the integrated energy system; wind, solar and thermal power generation resources are integrated and belong to the same market entity or operating organization, and the control scope of large-scale power grid scheduling and hierarchical scheduling is not effectively coordinated, resulting in unclear safety boundary constraints and scheduling strategies, causing reduced system stability. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for dispatching an integrated energy system of wind, solar and thermal energy complementation in order to solve at least one of the above-mentioned technical problems.

[0006] In the first aspect, an embodiment of the present invention provides a scheduling method for a wind, solar and thermal multi-energy complementary integrated energy system, which is applied to a target integrated energy system; the target integrated energy system is an energy system that integrates multiple wind power plants, multiple photovoltaic plants and multiple thermal power units in a target area; the method includes: obtaining initial data information of the target integrated energy system; based on the initial data information, respectively constructing a photovoltaic plant output operation constraint timing model and a wind plant output operation constraint timing model; based on the initial data information, establishing a fine-grained safety boundary model for thermal power units; based on the photovoltaic plant output operation constraint timing model, the wind plant output operation constraint timing model and the thermal power unit fine-grained safety boundary model, constructing an aggregated equivalent grid-connected point power balance constraint model; based on the preset aggregated equivalent grid-connected point power balance model, constructing an optimized operation scheduling model; solving the optimized operation scheduling model based on the preset optimized operation scheduling model to solve the constraint model and obtain the scheduling data information of the target integrated energy system.

[0007] Furthermore, the expression of the photovoltaic power plant output operation constraint timing model includes:

[0008]

[0009] Where: Predict the power generation for the zth PV plant at time t; φ pv (z, t, δ) is the power generation prediction function of the photovoltaic plant, where the function parameter δ is the set of comprehensive power generation influencing factors that affect the photovoltaic power generation output; is the actual output of the z-th photovoltaic plant at time t; α pv Adjust the margin factor for the power generation forecast of the photovoltaic plant; β pv is the installed capacity impairment margin factor of the photovoltaic plant; is the installed capacity of the z-th PV plant;

[0010] The expression of the wind power plant output operation constraint timing model includes:

[0011]

[0012] Where: Predict the power generation for the yth wind farm at time t; is the power generation prediction function of the wind power plant, where the function parameter ε is the comprehensive power generation influencing factor set that affects the power generation output of the wind turbine; is the actual output of the y-th wind farm at time t; α wt Adjust the margin factor for the power generation forecast of the wind power plant; β wt is the installed capacity impairment margin factor of the wind power plant; is the installed capacity of the zth wind farm.

[0013] Furthermore, the fine-grained safety boundary model of the thermal power unit includes: a minimum start-up and shutdown operation time constraint model of the thermal power unit, a start-up and shutdown number constraint model of the thermal power unit, a forced start-up and shutdown period constraint model of the thermal power unit, a thermal power unit ramp rate constraint model and a thermal power unit output operation timing constraint model.

[0014] Furthermore, the minimum start-up and shutdown operation time constraint model of the thermal power unit includes a minimum start-up operation time constraint model of the thermal power unit and a minimum shutdown operation time constraint model of the thermal power unit; wherein,

[0015] The minimum startup operation time constraint model of the thermal power unit includes:

[0016]

[0017] Where: U j is the time that thermal power unit j must continue to run in order to meet the minimum start-up time at the initial stage of scheduling; T is the scheduling period; is the minimum startup time of thermal power unit j; U j,0 is the time that thermal power unit j has been running at the initial stage of dispatch; x j,0 is the operating status of thermal power unit j at the initial stage of dispatch; x j,t is a Boolean variable representing the operating status of thermal power unit j at time t; Ω J is the set of all thermal power units in the startup state at the initial stage of scheduling; n is the intermediate time variable of the startup state; x j,t-1 is a Boolean variable of the operating status of thermal power unit j at time t-1;

[0018] The minimum shutdown operation time constraint model of the thermal power unit includes:

[0019]

[0020] Where: D k The time that thermal power unit k must continue to shut down in order to meet the minimum shutdown time at the initial stage of scheduling; is the minimum shutdown time of thermal power unit k; D k,0 is the shutdown time of thermal power unit k in the initial dispatching period; x k,0 is the operating status of thermal power unit k at the initial stage of dispatch; x k,t is a Boolean variable representing the operating status of thermal power unit k at time t; Ω K is the set of all thermal power units that are in shutdown state at the initial stage of scheduling; m is the time intermediate variable of shutdown state; x k,t-1It is a Boolean variable representing the operating status of thermal power unit k at time t-1.

[0021] Furthermore, the startup and shutdown times constraint model of the thermal power unit includes a startup times constraint model of the thermal power unit and a shutdown times constraint model of the thermal power unit; wherein the startup times constraint model of the thermal power unit includes:

[0022]

[0023] Where: are the maximum startup times allowed for thermal power unit j and thermal power unit k in the scheduling period respectively; the shutdown times constraint model of the thermal power unit includes:

[0024]

[0025] Where: are the maximum shutdown times allowed for thermal power unit j and thermal power unit k in the scheduling cycle respectively; the thermal power unit mandatory start-stop period constraint model includes a thermal power unit mandatory start-up period constraint model and a thermal power unit mandatory shutdown period constraint model; wherein, the thermal power unit mandatory start-up period constraint model includes:

[0026]

[0027] Where: is the set of time periods during which thermal power unit j and thermal power unit k are compulsorily required to start up within the scheduling period; the constraint model for the forced shutdown time period of the thermal power unit includes:

[0028]

[0029] Where: It is the set of time periods during which thermal power unit j and thermal power unit k are forced to shut down within the scheduling cycle.

[0030] Furthermore, the thermal power unit ramp rate constraint model includes:

[0031]

[0032] Where: are the downward climbing rates of thermal power unit j and thermal power unit k respectively; are the upward climbing rates of thermal power unit j and thermal power unit k respectively; P j,t , P k,t are the outputs of thermal power unit j and thermal power unit k at time t respectively; P j,t-1 , P k,t-1are the outputs of thermal power unit j and thermal power unit k at time t-1 respectively; Δt is the scheduling time interval; the output operation timing constraint model of the thermal power unit includes:

[0033]

[0034] Where: are the lower limits of output of thermal power unit j and thermal power unit k respectively; are the output upper limits of thermal power unit j and thermal power unit k respectively.

[0035] Furthermore, the aggregated equivalent grid-connected point power balance constraint model includes:

[0036]

[0037] Where: At time t, the equivalent power unit provides power to the outside through the equivalent grid connection point; The actual output of the z-th photovoltaic plant at time t; is the actual output of the yth wind farm at time t; P j,t , P k,t are the outputs of thermal power unit j and thermal power unit k at time t; x j,t 、x k,t are Boolean variables of the operating status of thermal power unit j and thermal power unit k at time t; Ω z ,Ω y ,Ω j ,Ω k are the number sets of the z-th photovoltaic power plant, the y-th wind power plant, the j-th thermal power unit, and the k-th thermal power unit; The conventional electricity load actually supplied by the target integrated energy system.

[0038] Furthermore, the optimization operation scheduling model includes:

[0039]

[0040]

[0041] Where: Tracking the comprehensive economic benefits of executing instructions for the target integrated energy system described during the operation dispatch cycle; Tracking and executing direct economic benefits at equivalent grid connection points for the target integrated energy system described during the operation dispatch cycle; The penalty cost incurred for the assessment error caused by tracking and executing the target integrated energy system at the equivalent grid connection point during the operation and dispatch cycle; The comprehensive operation and maintenance cost of the photovoltaic plant during the operation and scheduling cycle; The comprehensive operation and maintenance cost of wind power plants during the operation and dispatch cycle; is the comprehensive operation and maintenance cost of thermal power units during the operation and dispatching period; T is the dispatching period; is the unit electricity price when the equivalent power unit provides electricity to the outside through the equivalent grid connection point at time t; Tracking and executing error power at an equivalent grid connection point at time t for the target integrated energy system; is the penalty cost function; is the comprehensive operation and maintenance cost function of the photovoltaic plant; is the comprehensive operation and maintenance cost function of the wind power plant; ρ on is the comprehensive operation and maintenance cost factor for thermal power units; x j,t-1 、x k,t-1 They are respectively the operating status Boolean variables of thermal power unit j and thermal power unit k at time t-1.

[0042] Furthermore, the constraint model solved by the preset optimization operation scheduling model includes a tracking execution error power evaluation characteristic constraint model at the equivalent grid connection point, an equivalent power supply unit providing power to the outside through the equivalent grid connection point, and a conventional power load characteristic constraint model; wherein, the tracking execution error power evaluation characteristic constraint model at the equivalent grid connection point includes:

[0043]

[0044] Where: Provide evaluation coefficients for different tracking execution error assessments; is the power value of the automatic power generation control instruction of the power grid dispatch at time t; is a different tracking execution error threshold coefficient; the equivalent power source unit provides an electric power characteristic constraint model to the outside through an equivalent grid connection point, including:

[0045]

[0046] The conventional power load characteristic constraint model includes:

[0047]

[0048] Where: The conventional electricity load actually supplied by the target integrated energy system; The conventional electricity load that is the basis of the target integrated energy system; The adjustable coefficient of the conventional power load based on off A collection of executable time intervals for flexible loads.

[0049] In the second aspect, an embodiment of the present invention further provides a wind, solar and thermal multi-energy complementary integrated energy system scheduling system, which is applied to a target integrated energy system; the target integrated energy system is an energy system integrating multiple wind power plants, multiple photovoltaic plants and multiple thermal power units in a target area; it includes: an acquisition module, a first construction module, a second construction module, a third construction module, a fourth construction module and a solution module; wherein the acquisition module is used to acquire the initial data information of the target integrated energy system; the first construction module is used to construct a photovoltaic plant output operation constraint timing model and a wind power plant output operation constraint timing model based on the initial data information; The second construction module is used to establish a fine-grained safety boundary model of the thermal power unit based on the initial data information; the third construction module is used to construct an aggregated equivalent grid-connected point power balance constraint model based on the photovoltaic plant output operation constraint timing model, the wind power plant output operation constraint timing model and the thermal power unit fine-grained safety boundary model; the fourth construction module is used to construct an optimized operation scheduling model based on the aggregated equivalent grid-connected point power balance preset model; the solution module is used to solve the optimized operation scheduling model based on the preset optimized operation scheduling model to solve the constraint model and obtain the scheduling data information of the target integrated energy system.

[0050] The present invention provides a dispatching method and system for a wind, solar, and thermal multi-energy complementary integrated energy system, establishes a detailed mathematical model of safety boundary constraints for wind, solar, and thermal power generation operations, takes into account the operating constraints and economic factors of the integrated energy system, and through a fine-grained safety boundary model and economic optimization objectives, realizes the optimized dispatching of the wind, solar, and thermal multi-energy complementary integrated energy system, thereby improving the operating stability, safety, and economy of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0052] Figure 1 A flow chart of a wind, solar and thermal multi-energy complementary integrated energy system scheduling method provided by an embodiment of the present invention;

[0053] Figure 2 A schematic diagram of the architecture of a wind, solar and thermal multi-energy complementary integrated energy system provided by an embodiment of the present invention;

[0054] Figure 3A schematic diagram of a wind, solar and thermal multi-energy complementary integrated energy system dispatching system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Embodiment 1

[0057] Figure 1 The flowchart of a method for dispatching a wind-solar-thermal multi-energy complementary integrated energy system provided according to an embodiment of the present invention is applied to a target integrated energy system; wherein the target integrated energy system is an energy system integrating multiple wind power plants, multiple photovoltaic plants and multiple thermal power units in the target area. Figure 1 As shown, the method provided in the embodiment of the present invention specifically includes the following steps:

[0058] Step S102, obtaining initial data information of the target integrated energy system.

[0059] Step S104: Based on the initial data information, a photovoltaic power plant output operation constraint timing model and a wind power plant output operation constraint timing model are constructed respectively.

[0060] Step S106: establishing a fine-grained safety boundary model of the thermal power unit based on the initial data information.

[0061] Step S108, constructing an aggregated equivalent grid-connected point power balance constraint model based on the photovoltaic plant output operation constraint timing model, the wind power plant output operation constraint timing model and the thermal power unit fine-grained safety boundary model.

[0062] Step S110, constructing an optimized operation scheduling model based on the preset model of aggregated equivalent grid-connected point power balance.

[0063] Step S112, solving the optimal operation scheduling model based on the preset optimal operation scheduling model to solve the constraint model and obtain the scheduling data information of the target integrated energy system.

[0064] Specifically, the target integrated energy system integrates multiple wind power plants, multiple photovoltaic plants, and multiple thermal power units in the integrated region; wind power plants, photovoltaic plants, and thermal power units are referred to as wind, light, and fire respectively; wind, light, and fire power generation resources can be dispatched by the same market entity or organization to achieve organic coordinated operation and play a multi-energy complementary role; this organic energy system that integrates multiple power generation resources and can be uniformly coordinated and dispatched is called a multi-energy complementary integrated energy system; the multi-energy complementary integrated energy system containing wind, light, and fire power generation resources is called a wind, light, and fire multi-energy complementary integrated energy system.

[0065] For example, Figure 2 Schematic diagram of the architecture of a wind, solar and thermal multi-energy complementary integrated energy system provided according to an embodiment of the present invention. Figure 2 As shown in the figure, the system includes 5 photovoltaic plants, namely photovoltaic plant #1, photovoltaic plant #2, photovoltaic plant #3, photovoltaic plant #4, and photovoltaic plant #5; 3 wind power plants, namely wind power plant #1, wind power plant #2, and wind power plant #3; and 3 thermal power units, namely thermal power unit #1, thermal power unit #2, and thermal power unit #3. Each wind power plant, each photovoltaic plant, and each thermal power unit are aggregated through the collection grid and the transmission grid to form an integrated energy system, and energy information is exchanged in the large grid at the aggregation equivalent grid connection point.

[0066] Figure 2 The collection grid in the text mainly refers to the internal grid of the integrated energy system after the power generation of wind power plants, photovoltaic plants and thermal power units is collected and boosted; the transmission grid mainly refers to the backbone network of the collection grid, which is connected to the large power grid through regional transmission interconnection lines to realize the integration of the integrated energy system into the large power grid and the integration of the power generation of the integrated energy system into the large power grid. The regional transmission interconnection line can be one or more, and can also be equivalent to a regional grid interconnection line.

[0067] Specifically, the initial data information of the target integrated energy system includes: the installed capacity of each photovoltaic plant, the installed capacity of each wind power plant, the power generation forecast adjustment margin factor of the photovoltaic plant, the installed capacity impairment margin factor of the photovoltaic plant, the power generation forecast adjustment margin factor of the wind power plant, the installed capacity impairment margin factor of the wind power plant, the comprehensive power generation influencing factor set of photovoltaic power generation output, the comprehensive power generation influencing factor set of wind turbine power generation output, the dispatching cycle, the minimum startup time of each thermal power unit, the startup time of each thermal power unit at the initial dispatching stage, the operating status of each thermal power unit at the initial dispatching stage, the minimum shutdown time of each thermal power unit, the shutdown time of each thermal power unit at the initial dispatching stage, the maximum startup times allowed for each thermal power unit within the dispatching cycle, and the startup time of each thermal power unit. The maximum number of shutdowns allowed for each thermal power unit within the scheduling cycle, the set of time periods when each thermal power unit is forced to start within the scheduling cycle, the set of time periods when each thermal power unit is forced to shut down within the scheduling cycle, the downward climbing rate of each thermal power unit, the upward climbing rate of each thermal power unit, the lower limit of each thermal power unit output, the upper limit of each thermal power unit output, the electricity price of the power sales unit, the penalty cost function expression, the comprehensive operation and maintenance cost function expression of the photovoltaic plant, the comprehensive operation and maintenance cost function expression of the wind power plant, the comprehensive operation and maintenance cost factor for the start-up of the thermal power unit, the tracking execution error assessment coefficient, the power grid dispatching automatic power generation control instruction curve, the tracking execution error threshold coefficient, the conventional power load curve, the set of flexible load executable time intervals, the adjustable coefficient of the basic conventional power load and other data information.

[0068] Specifically, in step S104, the expression of the photovoltaic power plant output operation constraint timing model includes:

[0069]

[0070] Where: Predict the power generation for the zth PV plant at time t; φ pv (z, t, δ) is the power generation prediction function of the photovoltaic plant, where the function parameter δ is the comprehensive power generation influencing factor set that affects the photovoltaic power generation output, such as light, temperature, geographical location, altitude, etc.; is the actual output of the z-th photovoltaic plant at time t; α pv Adjust the margin factor for the power generation forecast of the photovoltaic plant; β pv is the installed capacity impairment margin factor of the photovoltaic plant; is the installed capacity of the z-th PV plant;

[0071] The expressions of the wind power plant output operation constraint timing model include:

[0072]

[0073] Where: Predict the power generation for the yth wind farm at time t; is the power generation prediction function of the wind power plant, where the function parameter ε is the comprehensive power generation influencing factor set that affects the power generation output of the wind turbine, such as wind speed, temperature, geographical location, altitude, etc.; is the actual output of the y-th wind farm at time t; α wt Adjust the margin factor for the power generation forecast of the wind power plant; β wt is the installed capacity impairment margin factor of the wind power plant; is the installed capacity of the zth wind farm.

[0074] Specifically, in an embodiment of the present invention, in step S106, the fine-grained safety boundary model of the thermal power unit includes: a minimum start-up and shutdown operation time constraint model of the thermal power unit, a start-up and shutdown number constraint model of the thermal power unit, a forced start-up and shutdown period constraint model of the thermal power unit, a thermal power unit ramp rate constraint model and a thermal power unit output operation timing constraint model.

[0075] Specifically, the minimum start-up and shutdown operation time constraint model of the thermal power unit includes the minimum start-up operation time constraint model of the thermal power unit and the minimum shutdown operation time constraint model of the thermal power unit; wherein,

[0076] For the initial stage of dispatch, when the thermal power unit is in the startup state, the minimum startup operation time constraint model of the thermal power unit includes:

[0077]

[0078] Where: U j is the time that thermal power unit j must continue to run in order to meet the minimum start-up time at the initial stage of scheduling; T is the scheduling period; is the minimum startup time of thermal power unit j; U j,0 is the time that thermal power unit j has been running at the initial stage of dispatch; x j,0 is the operating state of thermal power unit j at the initial stage of scheduling. When the thermal power unit is in the startup state, the value is 1, and when it is in the shutdown state, the value is 0; x j,t is a Boolean variable indicating the operating state of thermal power unit j at time t. It takes the value 1 when the thermal power unit is in the startup state and takes the value 0 when it is in the shutdown state; Ω J is the set of all thermal power units in the startup state at the initial stage of scheduling; n is the intermediate time variable of the startup state; x j,t-1 is a Boolean variable of the operating status of thermal power unit j at time t-1, which takes the value 1 when the thermal power unit is in the startup state and takes the value 0 when it is in the shutdown state;

[0079] For the thermal power units in the initial stage of scheduling, the thermal power units are initially in shutdown state, and the minimum shutdown operation time constraint model of the thermal power units includes:

[0080]

[0081] Where: D k The time that thermal power unit k must continue to shut down in order to meet the minimum shutdown time at the initial stage of scheduling; is the minimum shutdown time of thermal power unit k; D k,0 is the shutdown time of thermal power unit k in the initial dispatching period; x k,0 is the operating state of thermal power unit k at the initial stage of scheduling. In the initial stage of scheduling, the thermal power unit takes the value 0 when it is in the startup state and takes the value 0 when it is in the shutdown state; x k,t is a Boolean variable indicating the operating state of the thermal power unit k at time t. It takes the value 1 when the thermal power unit is in the startup state and takes the value 0 when it is in the shutdown state; Ω K is the set of all thermal power units that are in shutdown state at the initial stage of scheduling; m is the time intermediate variable of shutdown state; x k,t-1 is a Boolean variable representing the operating status of thermal power unit k at time t-1. It takes the value 1 when the thermal power unit is in the startup state and takes the value 0 when it is in the shutdown state.

[0082] Specifically, the start-up and shutdown times constraint model of the thermal power unit includes the start-up times constraint model of the thermal power unit and the shutdown times constraint model of the thermal power unit; wherein,

[0083] The startup times constraint model of thermal power units includes:

[0084]

[0085] Where: are the maximum number of startup times allowed for thermal power unit j and thermal power unit k in the scheduling cycle respectively;

[0086] The shutdown frequency constraint model of thermal power units includes:

[0087]

[0088] Where: are the maximum shutdown times allowed for thermal power unit j and thermal power unit k in the scheduling cycle respectively;

[0089] Specifically, the forced start-stop period constraint model of the thermal power unit includes the forced start-up period constraint model of the thermal power unit and the forced shutdown period constraint model of the thermal power unit; wherein,

[0090] The forced startup period constraint model of thermal power units includes:

[0091]

[0092] Where: is the set of time periods during which thermal power unit j and thermal power unit k are forced to start up within the scheduling cycle;

[0093] The forced shutdown period constraint model of thermal power units includes:

[0094]

[0095] Where: It is the set of time periods during which thermal power unit j and thermal power unit k are forced to shut down within the scheduling cycle.

[0096] The thermal power unit ramp rate constraint specifically includes the downward ramp rate and the upward ramp rate. Specifically, the thermal power unit ramp rate constraint model includes:

[0097]

[0098] Where: are the downward climbing rates of thermal power unit j and thermal power unit k respectively; are the upward climbing rates of thermal power unit j and thermal power unit k respectively; P j,t , P k,t are the outputs of thermal power unit j and thermal power unit k at time t respectively; P j,t-1 , P k,t-1 are the outputs of thermal power unit j and thermal power unit k at time t-1 respectively; Δt is the scheduling time interval.

[0099] The output operation timing constraint of thermal power units mainly describes the output physical characteristics of thermal power units. Specifically, the output operation timing constraint model of thermal power units includes:

[0100]

[0101] Where: are the lower limits of output of thermal power unit j and thermal power unit k respectively; are the output upper limits of thermal power unit j and thermal power unit k respectively.

[0102] In the embodiment of the present invention, the target integrated energy system aggregates regional thermal power units, wind power plants, photovoltaic plants and other multi-energy complementary power resources, and supplies conventional power loads internally, and presents equivalent power units externally, and the equivalent power units provide power externally through equivalent grid connection points. Specifically, in step S108, the aggregate equivalent grid connection point power balance constraint model includes:

[0103]

[0104] Where: At time t, the equivalent power unit provides power to the outside through the equivalent grid connection point; The actual output of the z-th photovoltaic plant at time t; is the actual output of the yth wind farm at time t; P j,t , P k,t are the outputs of thermal power unit j and thermal power unit k at time t respectively; Ω z ,Ω y ,Ω j ,Ω k are the number sets of the z-th photovoltaic power plant, the y-th wind power plant, the j-th thermal power unit, and the k-th thermal power unit; The conventional electricity load actually supplied by the target integrated energy system.

[0105] In an embodiment of the present invention, optimized operation and scheduling refers to optimizing the operation and scheduling of the wind, solar, thermal and multi-energy complementary integrated energy system, coordinating and regulating the wind, solar, thermal and multi-energy complementary power generation resources and conventional electricity load resources within the integrated energy system, with the equivalent grid connection point as the cutting surface; the integrated energy system tracks and executes the automatic power generation control instructions of the power grid dispatching externally, with the goal of maximizing the comprehensive economic benefits of tracking and executing the instructions.

[0106] Specifically, in step S110, optimizing the operation scheduling model includes:

[0107]

[0108]

[0109] Where: Tracking the comprehensive economic benefits of executing instructions for the target integrated energy system during the operation dispatch cycle; Tracking and executing direct economic benefits at equivalent grid connection points for the target integrated energy system during the operation dispatch cycle; The penalty cost for the assessment error caused by tracking and executing the target integrated energy system at the equivalent grid connection point during the operation and dispatch cycle; The comprehensive operation and maintenance cost of the photovoltaic plant during the operation and scheduling cycle; The comprehensive operation and maintenance cost of wind power plants during the operation and dispatch cycle; is the comprehensive operation and maintenance cost of thermal power units during the operation and dispatching period; T is the dispatching period; is the unit electricity price when the equivalent power unit provides electricity to the outside through the equivalent grid connection point at time t; Tracking execution error power at the equivalent grid connection point at time t for the target integrated energy system; is the penalty cost function; is the comprehensive operation and maintenance cost function of the photovoltaic plant; is the comprehensive operation and maintenance cost function of the wind power plant; ρ on is the comprehensive operation and maintenance cost factor for thermal power units; x j,t-1 、x k,t-1 They are respectively the operating status Boolean variables of thermal power unit j and thermal power unit k at time t-1.

[0110] In the embodiment of the present invention, the integrated energy system supplies conventional power loads internally and presents equivalent power units externally. In order to ensure the characteristics of the equivalent power units, specifically, in step S112, the preset optimization operation scheduling model solves the constraint model including the tracking execution error power evaluation characteristic constraint model at the equivalent grid connection point, the equivalent power unit provides power characteristics constraint model through the equivalent grid connection point, and the conventional power load characteristic constraint model. Among them,

[0111] The tracking execution error power evaluation characteristic constraint model at the equivalent grid connection point includes:

[0112]

[0113] Where: Provide evaluation coefficients for different tracking execution error assessments; is the power value of the automatic power generation control instruction of the power grid dispatch at time t; Implement error threshold coefficients for different tracking;

[0114] The equivalent power source unit provides power characteristic constraint model to the outside through the equivalent grid connection point, including:

[0115]

[0116] Conventional power load characteristic constraint model, including:

[0117]

[0118] Where: The conventional electricity load actually supplied by the target integrated energy system; Conventional electricity load as the basis for the target integrated energy system; The adjustable coefficient of the conventional power load based on off A collection of executable time intervals for flexible loads.

[0119] In an optional implementation provided by an embodiment of the present invention, the dispatching data information of the target integrated energy system in step S112 includes: the actual output of each photovoltaic plant, the actual output of each wind power plant, the operating status of each thermal power unit in different time periods, the number of startups of each thermal power unit in the dispatching cycle, the number of shutdowns of each thermal power unit in the dispatching cycle, the output of each thermal power unit in different time periods, the equivalent power supply units providing electricity to the outside through equivalent grid-connected points in different time periods, the comprehensive economic benefits of the integrated energy system tracking and executing instructions during the operation and dispatching cycle, the penalty cost borne by the integrated energy system for tracking and executing assessment errors at the equivalent grid-connected points during the operation and dispatching cycle, the comprehensive operation and maintenance cost of photovoltaic plants during the operation and dispatching cycle, the comprehensive operation and maintenance cost of wind power plants during the operation and dispatching cycle, the integrated energy system tracking and executing error power at equivalent grid-connected points in different time periods, the conventional power load actually supplied by the integrated energy system and other data information.

[0120] From the above description, it can be seen that the embodiment of the present invention provides a wind, solar and thermal multi-energy complementary integrated energy system scheduling method, which has the following technical effects compared with the existing technology:

[0121] (1) The present invention constructs an accurate safety boundary constraint mathematical model for wind, solar and thermal power generation, which can provide theoretical support and application reference for the safe and stable operation of the integrated energy system;

[0122] (2) The present invention comprehensively considers the operation and maintenance of wind power, photovoltaic and thermal power units and the economic benefits of power generation and transmission, and through economic optimization scheduling, it can reduce the operating cost of the integrated energy system and improve the overall economic benefits;

[0123] (3) The present invention dynamically coordinates and adjusts the output of wind, solar and thermal energy sources, so as to enable the integrated energy system to adapt to the changes in the demand and real-time supply of the large power grid, achieve more efficient use of various energy resources, give full play to the potential and advantages of multi-energy complementarity, and reduce the error of power tracking execution at the grid connection point;

[0124] (4) The method of the present invention is applicable to large-scale renewable energy power generation scenarios in deserts, Gobi, wastelands and other areas, further promoting the optimization of the energy structure in desert, Gobi and wasteland areas and realizing the safe and economical operation of an integrated energy system.

[0125] Embodiment 2

[0126] Figure 3It is a schematic diagram of a wind, solar and thermal multi-energy complementary integrated energy system scheduling system provided according to an embodiment of the present invention, which is applied to a target integrated energy system; the target integrated energy system is an energy system that integrates multiple wind power plants, multiple photovoltaic plants and multiple thermal power units in the target area; it includes: an acquisition module 10, a first construction module 20, a second construction module 30, a third construction module 40, a fourth construction module 50 and a solution module 60.

[0127] Specifically, the acquisition module 10 is used to acquire initial data information of the target integrated energy system;

[0128] The first construction module 20 is used to construct a photovoltaic power plant output operation constraint timing model and a wind power plant output operation constraint timing model based on the initial data information;

[0129] The second building module 30 is used to establish a fine-grained safety boundary model of the thermal power unit based on the initial data information;

[0130] The third construction module 40 is used to construct an aggregated equivalent grid-connected point power balance constraint model based on the photovoltaic plant output operation constraint timing model, the wind power plant output operation constraint timing model and the thermal power unit fine-grained safety boundary model;

[0131] A fourth building module 50 is used to build an optimized operation scheduling model based on the preset model of aggregated equivalent grid-connected point power balance;

[0132] The solving module 60 is used to solve the constraint model based on the preset optimal operation scheduling model to solve the optimal operation scheduling model and obtain the scheduling data information of the target integrated energy system.

[0133] 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.

[0134] 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 method for dispatching a wind, solar and thermal multi-energy complementary integrated energy system, characterized in that: Application to target integrated energy systems; The target integrated energy system is an energy system integrating multiple wind power plants, multiple photovoltaic plants and multiple thermal power units in the target area; the method comprises: Acquiring initial data information of the target integrated energy system; Based on the initial data information, a photovoltaic power plant output operation constraint timing model and a wind power plant output operation constraint timing model are respectively constructed; Based on the initial data information, a fine-grained safety boundary model of the thermal power unit is established; Based on the photovoltaic power plant output operation constraint timing model, the wind power plant output operation constraint timing model and the thermal power unit fine-grained safety boundary model, an aggregated equivalent grid-connected point power balance constraint model is constructed; Based on the preset model of aggregated equivalent grid-connected point power balance, an optimized operation scheduling model is constructed; The constraint model is solved based on the preset optimal operation scheduling model to solve the optimal operation scheduling model and obtain the scheduling data information of the target integrated energy system.

2. The method according to claim 1, characterized in that: The expression of the photovoltaic power plant output operation constraint timing model includes: Where: Predict the power generation for the zth PV plant at time t; φ pv (z, t, δ) is the power generation prediction function of the photovoltaic plant, where the function parameter δ is the set of comprehensive power generation influencing factors that affect the photovoltaic power generation output; is the actual output of the z-th photovoltaic plant at time t; α pv Adjust the margin factor for the power generation forecast of the photovoltaic plant; β pv is the installed capacity impairment margin factor of the photovoltaic plant; is the installed capacity of the z-th PV plant; The expression of the wind power plant output operation constraint timing model includes: Where: Predict the power generation for the yth wind farm at time t; is the power generation prediction function of the wind power plant, where the function parameter ε is the comprehensive power generation influencing factor set that affects the power generation output of the wind turbine; is the actual output of the y-th wind farm at time t; α wt Adjust the margin factor for the power generation forecast of the wind power plant; β wt is the installed capacity impairment margin factor of the wind power plant; is the installed capacity of the zth wind farm station.

3. The method according to claim 1, characterized in that: The fine-grained safety boundary model of the thermal power unit includes: a minimum start-up and shutdown operation time constraint model of the thermal power unit, a start-up and shutdown number constraint model of the thermal power unit, a forced start-up and shutdown period constraint model of the thermal power unit, a thermal power unit ramp rate constraint model and a thermal power unit output operation timing constraint model.

4. The method according to claim 3, characterized in that: The minimum start-up and shutdown operation time constraint model of the thermal power unit includes a minimum start-up operation time constraint model of the thermal power unit and a minimum shutdown operation time constraint model of the thermal power unit; wherein, The minimum startup operation time constraint model of the thermal power unit includes: Where: U j is the time that thermal power unit j must continue to run in order to meet the minimum start-up time at the initial stage of scheduling; T is the scheduling period; is the minimum startup time of thermal power unit j; U j,0 is the time that thermal power unit j has been running at the initial stage of dispatch; x j,0 is the operating status of thermal power unit j at the initial stage of dispatch; x j,t is a Boolean variable representing the operating status of thermal power unit j at time t; Ω J is the set of all thermal power units in the startup state at the initial stage of scheduling; n is the intermediate time variable of the startup state; x j,t-1 is a Boolean variable of the operating status of thermal power unit j at time t-1; The minimum shutdown operation time constraint model of the thermal power unit includes: Where: D k The time that thermal power unit k must continue to shut down in order to meet the minimum shutdown time at the initial stage of scheduling; is the minimum shutdown time of thermal power unit k; D k,0 is the shutdown time of thermal power unit k in the initial dispatching period; x k,0 is the operating status of thermal power unit k at the initial stage of dispatch; x k,t is a Boolean variable representing the operating status of thermal power unit k at time t; Ω K is the set of all thermal power units that are in shutdown state at the initial stage of scheduling; m is the time intermediate variable of shutdown state; x k,t-1 It is a Boolean variable representing the operating status of thermal power unit k at time t-1.

5. The method according to claim 4, characterized in that: The start-up and shutdown times constraint model of the thermal power unit includes a start-up times constraint model of the thermal power unit and a shutdown times constraint model of the thermal power unit; wherein, The startup times constraint model of the thermal power unit includes: Where: are the maximum number of startup times allowed for thermal power unit j and thermal power unit k in the scheduling cycle respectively; The shutdown frequency constraint model of the thermal power unit includes: Where: are the maximum shutdown times allowed for thermal power unit j and thermal power unit k in the scheduling cycle respectively; The forced start-stop period constraint model of the thermal power unit includes a forced start-up period constraint model of the thermal power unit and a forced shutdown period constraint model of the thermal power unit; wherein, The forced startup period constraint model of the thermal power unit includes: Where: is the set of time periods during which thermal power unit j and thermal power unit k are forced to start up within the scheduling cycle; The forced shutdown period constraint model of the thermal power unit includes: Where: It is the set of time periods during which thermal power unit j and thermal power unit k are forced to shut down within the scheduling cycle.

6. The method according to claim 4, characterized in that: The thermal power unit ramp rate constraint model includes: Where: are the downward climbing rates of thermal power unit j and thermal power unit k respectively; are the upward climbing rates of thermal power unit j and thermal power unit k respectively; P j,t , P k,t are the outputs of thermal power unit j and thermal power unit k at time t respectively; P j,t-1 , P k,t-1 are the outputs of thermal power unit j and thermal power unit k at time t-1 respectively; Δt is the scheduling time interval; The output operation timing constraint model of the thermal power unit includes: Where: are the lower limits of output of thermal power unit j and thermal power unit k respectively; are the output upper limits of thermal power unit j and thermal power unit k respectively.

7. The method according to claim 1, characterized in that: The aggregate equivalent grid-connected point power balance constraint model includes: Where: P t pcc At time t, the equivalent power unit provides power to the outside through the equivalent grid connection point; The actual output of the z-th photovoltaic plant at time t; is the actual output of the yth wind farm at time t; P j,t , P k,t are the outputs of thermal power unit j and thermal power unit k at time t; x j,t 、x k,t are Boolean variables of the operating status of thermal power unit j and thermal power unit k at time t; Ω z ,Ω y ,Ω j ,Ω k are the number sets of the z-th photovoltaic power plant, the y-th wind power plant, the j-th thermal power unit, and the k-th thermal power unit; P t load,act The conventional electricity load actually supplied by the target integrated energy system.

8. The method according to claim 7, characterized in that: The optimization operation scheduling model includes: Where: Tracking the comprehensive economic benefits of executing instructions for the target integrated energy system described during the operation dispatch cycle; Tracking and executing direct economic benefits at equivalent grid connection points for the target integrated energy system described during the operation dispatch cycle; The penalty cost incurred for the assessment error caused by tracking and executing the target integrated energy system at the equivalent grid connection point during the operation and dispatch cycle; The comprehensive operation and maintenance cost of the photovoltaic plant during the operation and scheduling cycle; The comprehensive operation and maintenance cost of wind power plants during the operation and dispatch cycle; is the comprehensive operation and maintenance cost of thermal power units during the operation and dispatching period; T is the dispatching period; is the unit electricity price when the equivalent power unit provides electricity to the outside through the equivalent grid connection point at time t; ΔP t AGC,pcc Tracking and executing error power at an equivalent grid connection point at time t for the target integrated energy system; is the penalty cost function; is the comprehensive operation and maintenance cost function of the photovoltaic plant; is the comprehensive operation and maintenance cost function of the wind power plant; ρ on is the comprehensive operation and maintenance cost factor for thermal power units; x j,t-1 、x k,t-1 They are Boolean variables of the operating status of thermal power unit j and thermal power unit k at time t-1 respectively.

9. The method according to claim 8, characterized in that: The constraint model solved by the preset optimization operation scheduling model includes a tracking execution error power evaluation characteristic constraint model at the equivalent grid connection point, an equivalent power supply unit providing power characteristic constraint model through the equivalent grid connection point, and a conventional power load characteristic constraint model; wherein, The tracking execution error power evaluation characteristic constraint model at the equivalent grid connection point includes: Where: is the evaluation coefficient of different tracking execution errors; P t AGC is the power value of the automatic power generation control instruction of the power grid dispatch at time t; Implement error threshold coefficients for different tracking; The equivalent power source unit provides an electric power characteristic constraint model to the outside through an equivalent grid connection point, including: The conventional power load characteristic constraint model includes: Where: P t load,act The conventional electricity load actually supplied by the target integrated energy system; P t load,base The conventional electricity load that is the basis of the target integrated energy system; The adjustable coefficient of the conventional power load based on off A collection of executable time intervals for flexible loads.

10. A wind, solar and thermal multi-energy complementary integrated energy system dispatching system, characterized in that: Application to target integrated energy systems; The target integrated energy system is an energy system integrating multiple wind power plants, multiple photovoltaic plants and multiple thermal power units in the target area; it includes: an acquisition module, a first construction module, a second construction module, a third construction module, a fourth construction module and a solution module; wherein, The acquisition module is used to acquire initial data information of the target integrated energy system; The first construction module is used to construct a photovoltaic power plant output operation constraint timing model and a wind power plant output operation constraint timing model based on the initial data information; The second building module is used to establish a fine-grained safety boundary model of the thermal power unit based on the initial data information; The third construction module is used to construct an aggregated equivalent grid-connected point power balance constraint model based on the photovoltaic plant output operation constraint timing model, the wind power plant output operation constraint timing model and the thermal power unit fine-grained safety boundary model; The fourth building module is used to build an optimized operation scheduling model based on the aggregated equivalent grid-connected point power balance preset model; The solving module is used to solve the constraint model based on the preset optimal operation scheduling model to solve the optimal operation scheduling model and obtain the scheduling data information of the target integrated energy system.

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