Electric-thermal integrated energy system scheduling method and device based on thermal inertia and medium

Abstract

The invention discloses an electric-thermal integrated energy system scheduling method and device based on thermal inertia and a medium. The method comprises the following steps: determining a target scheduling model of the electric-thermal integrated energy system; establishing a target function, a power supply balance constraint, a preset unit output constraint, a preset unit climbing constraint, an electric heat storage boiler output constraint, a heat supply network node flow constraint and a heat supply network temperature constraint of the target scheduling model; solving the target scheduling model based on the wind power data under the reference heat balance time scale to obtain a reference analysis result; and if the reference analysis result meets a preset constraint condition, taking a reference heat balance time scale corresponding to the reference analysis result as a target heat balance time scale, and outputting an output plan of the electric-heat integrated energy system within a first preset time period after the current moment based on the reference analysis result. According to the method, an electric heating coordinated optimization operation strategy for comprehensively exploring the flexibility of a heat source, a heat load, a heat supply network and a heat storage side is realized, and more grid-connected space is provided for wind power.

Description

Technical Field

[0001] The present invention relates to the field of energy planning, and in particular to a method, device and medium for scheduling an electric-thermal integrated energy system based on thermal inertia. Background Art

[0002] With the adjustment of my country's energy structure in recent years, the intensity of carbon emission control has been gradually increased. In the north, which is rich in wind resources, the demand for heating in winter is large and the heating season is long. Large-scale cogeneration units are widely connected to the power supply structure of the heating system. Cogeneration units work in the "heat-to-electricity" mode and provide most of the heating load, but their power supply is constrained by the strong coupling of the heat load, and the system's flexibility adjustment ability is insufficient, resulting in a "wind-heat conflict" between the demand for wind power consumption and the large-scale heating demand. Wind power itself has the characteristics of uncertainty and intermittency. The high penetration rate of wind power integrated into the system further increases the difficulty of flexible scheduling of electricity and heat, resulting in limited access to wind power. Therefore, exploring the flexibility space of the electric-thermal integrated energy system and improving the utilization of renewable energy such as wind power are issues that urgently need to be considered and resolved. Summary of the invention

[0003] The present invention provides a method, device and medium for dispatching an electric-thermal integrated energy system based on thermal inertia, so as to realize an electric-thermal coordinated optimization operation strategy that fully explores the flexibility of heat sources, heat loads, heat networks and heat storage sides, thereby providing more grid connection space for wind power.

[0004] According to one aspect of the present invention, a method for dispatching an electric-thermal integrated energy system based on thermal inertia is provided, the method comprising:

[0005] Determine a target scheduling model for an electric-thermal integrated energy system; the electric-thermal integrated energy system includes at least a preset unit, an electric heat storage boiler and a heat network, and the target scheduling model objective function, power supply balance constraint, preset unit output constraint, preset unit ramp constraint, electric heat storage boiler output constraint, heat network node flow constraint and heat network temperature constraint are established;

[0006] Acquire wind power data and a reference heat balance time scale within a first preset time period before the current moment, and solve the target scheduling model based on the wind power data under the reference heat balance time scale to obtain a reference analytical result; the reference heat balance time scale is used to describe a time scale within the first preset time period with a second preset time period as an interval;

[0007] If the reference analysis result meets the preset constraints, the reference thermal balance time scale corresponding to the reference analysis result is used as the target thermal balance time scale, and the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment is output based on the reference analysis result.

[0008] According to another aspect of the present invention, a thermal inertia-based electric-thermal integrated energy system scheduling device is provided, the device comprising:

[0009] A model determination module is used to determine a target scheduling model for an electric-thermal integrated energy system; the electric-thermal integrated energy system includes at least a preset unit, an electric heat storage boiler and a heat network, and the target scheduling model objective function, power supply balance constraint, preset unit output constraint, preset unit ramp constraint, electric heat storage boiler output constraint, heat network node flow constraint and heat network temperature constraint are established;

[0010] A parsing module, used to obtain wind power data and a reference thermal balance time scale within a first preset time period before the current moment, and solve the target scheduling model based on the wind power data under the reference thermal balance time scale to obtain a reference parsing result; the reference thermal balance time scale is used to describe a time scale within the first preset time period with a second preset time period as an interval;

[0011] A prediction module is used to use the reference thermal balance time scale corresponding to the reference analytical result as the target thermal balance time scale if the reference analytical result meets the preset constraints, and output the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment based on the reference analytical result.

[0012] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0013] at least one processor; and

[0014] a memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the thermal inertia-based electric-thermal integrated energy system scheduling method described in any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the thermal inertia-based electric-thermal integrated energy system scheduling method described in any embodiment of the present invention when executed.

[0017] The technical solution of the embodiment of the present invention determines the target scheduling model of the electric-thermal integrated energy system; the electric-thermal integrated energy system at least includes a preset unit, an electric heat storage boiler and a heat network, and the target scheduling model objective function, power supply balance constraint, preset unit output constraint, preset unit climbing constraint, electric heat storage boiler output constraint, heat network node flow constraint and heat network temperature constraint are established; wind power data and reference heat balance time scale within the first preset time period before the current moment are obtained, and the target scheduling model is solved based on the wind power data under the reference heat balance time scale to obtain a reference analytical result; if the reference analytical result meets the preset constraint condition, the reference heat balance time scale corresponding to the reference analytical result is used as the target heat balance time scale, and the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment is output based on the reference analytical result. The present invention realizes an electric-thermal coordinated optimization operation strategy that fully explores the flexibility of heat sources, heat loads, heat networks and heat storage sides, thereby providing more grid connection space for wind power.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 is a flow chart of a method for dispatching an electric-thermal integrated energy system based on thermal inertia provided according to an embodiment of the present invention;

[0021] Figure 2a is an example diagram of PMV value ranges under different thermal equilibrium time scales applicable to an embodiment of the present invention;

[0022] Figure 2b is an example diagram of system operation costs at different heat balance time scales applicable to an embodiment of the present invention;

[0023] Figure 3 is a flow chart of another method for dispatching an electric-thermal integrated energy system based on thermal inertia provided according to an embodiment of the present invention;

[0024] Figure 4a is an example diagram of an electric power output balance curve within a day applicable to an embodiment of the present invention;

[0025] Figure 4bis an example diagram of a wind power output curve within a day applicable to an embodiment of the present invention;

[0026] Figure 5 is a structural schematic diagram of a thermal inertia-based electric-thermal integrated energy system scheduling device provided according to an embodiment of the present invention;

[0027] Figure 6 It is a structural schematic diagram of an electronic device for implementing the thermal inertia-based electric-thermal integrated energy system scheduling method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", "target", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" 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.

[0030] Embodiment 1

[0031] Figure 1 The flowchart of a method for dispatching an electric-thermal integrated energy system based on thermal inertia provided in an embodiment of the present invention is applicable to the situation where a thermal-inertia-based electric-thermal integrated energy system is used to reasonably utilize wind power. The method can be executed by a dispatching device for an electric-thermal integrated energy system based on thermal inertia. The dispatching device for an electric-thermal integrated energy system based on thermal inertia can be implemented in the form of hardware and / or software. The dispatching device for an electric-thermal integrated energy system based on thermal inertia can be configured in any electronic device with network communication function. Figure 1 As shown, the thermal inertia-based electric-thermal integrated energy system scheduling method of the present invention includes the following process:

[0032] S110. Determine the target scheduling model of the electric-thermal integrated energy system; the electric-thermal integrated energy system at least includes preset units, electric heat storage boilers and heating networks, and the target scheduling model objective function, power supply balance constraints, preset unit output constraints, preset unit climbing constraints, electric heat storage boiler output constraints, heating network node flow constraints and heating network temperature constraints are established.

[0033] Among them, the preset units include at least CHP units, traditional pure condensing thermal power units and wind turbine units.

[0034] Specifically, the thermal inertia characteristics and electric-thermal coupling characteristics of the electric-thermal integrated energy system are analyzed, including the electric-thermal coupling characteristics of the preset units, the operating characteristics and application principles of the electric thermal storage boilers, and the mechanism of improving the system scheduling flexibility based on thermal inertia and thus absorbing the abandoned wind is explored.

[0035] The characteristics and equipment models of representative units in the four different links of source-grid-load-storage are further described, and the thermal inertia model of the heating network and heating buildings, as well as the charging / discharging characteristic model of the electric heat storage boiler are proposed in detail. Thus, a target scheduling model is established with objective function, power supply balance constraint, preset unit output constraint, preset unit climbing constraint, electric heat storage boiler output constraint, heating network node flow constraint and heating network temperature constraint, laying a physical foundation for the formulation of the overall optimal scheduling strategy of the system.

[0036] Among them, the temperature loss and time delay characteristics of hot water in the heat network pipeline are important in the modeling of the heating system. Especially when the transmission delay of the pipe section is comparable to the system scheduling time scale, a model representing the thermal inertia of the heat network needs to be established to ensure the accuracy of the scheduling strategy. The specific process of the thermal inertia model of the heat network is as follows:

[0037] The simplified node method is used to process the heating delay, and the coupling relationship between the hot water inlet temperature and outlet temperature and time in the same pipe section is given. The heat transfer medium (hot water) at the inlet of the heating network is transmitted to the outlet at a certain speed. The transmission delay can be expressed as the time it takes for the hot water to flow through the pipe, which is expressed by the following formula:

[0038]

[0039] Among them, τ j is the transmission delay time of the jth pipe network, s; ρ w is the density of hot water in the pipe, kg·m-3; is the length of the jth pipe network, m; D j is the diameter of the jth pipe network, m; G j is the hot water mass flow rate in the jth section of the pipe network, kg·s-1.

[0040] In order to further reduce the difficulty of solving the model, it is necessary to round the transmission delay time, that is, to make the ratio of the heating network delay to the scheduling time interval an integer:

[0041]

[0042] in, is the rounding of the transmission delay time of the pipeline network, h; Δt is the scheduling time interval, h.

[0043] The heating network of the heating system is buried in the soil. During the process of heat transmission in the pipe network, there is heat exchange with the outside world. Considering the heat transfer attenuation caused by the heat exchange between the hot water temperature in the heating network and the ambient temperature through the pipe, the dynamic heat balance equation of the heating network can be expressed as:

[0044]

[0045] Where v is the hot water flow rate in the pipe network, m·s-1; c w is the specific heat capacity of water, MJ·kg-1·℃-1; μ p is the heat loss coefficient of hot water in the pipe, MJ·m-2·℃-1; is the soil temperature outside the tube, °C; is the average temperature of hot water in pipe section j, ℃.

[0046] Solving the above equation by difference can obtain the thermal inertia equation describing the relationship between the inlet and outlet water temperatures of the pipeline, that is, the thermal inertia model of the heating network:

[0047]

[0048] in, The jth pipe network The outlet water temperature at the time, ℃; is the inlet water temperature of the jth pipe network at time t, ℃.

[0049] S120. Obtain wind power data and a reference thermal balance time scale within a first preset time period before the current moment, and solve a target scheduling model based on the wind power data at the reference thermal balance time scale to obtain a reference analytical result; the reference thermal balance time scale is used to describe a time scale within the first preset time period with a second preset time period as an interval.

[0050] Among them, wind power data can be understood as wind power output and load power. The first preset time period can be determined according to the specific time, and can generally be set to one day. The first preset time period before the current moment can be understood as the day before the current moment, and the first preset time period after the current moment can be understood as the day after the current moment. The reference thermal balance time scale Th can be set according to specific needs. For example, when the second preset time period is set to 6h, 4h, 3h, 2h and 1h, the reference thermal balance time scale can be five time scales divided into 6h, 4h, 3h, 2h and 1h in one day.

[0051] Specifically, the target scheduling model can be used to predict the processing plan for the first preset time period in the future, and the target scheduling model is solved based on wind power data under the reference thermal balance time scale to obtain a reference analytical result.

[0052] S130. If the reference analysis result meets the preset constraint conditions, the reference thermal balance time scale corresponding to the reference analysis result is used as the target thermal balance time scale, and the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment is output based on the reference analysis result.

[0053] Specifically, determining whether the reference analysis result has preset constraints includes: determining the minimum value of the objective function based on the reference analysis result, if the minimum value is less than or equal to the preset threshold, the reference analysis result satisfies the first constraint; determining that the overall supply and demand balance of thermal energy of the electric-thermal integrated energy system satisfies the thermal power balance constraint based on the reference analysis result, then determining that the reference analysis result satisfies the second constraint; determining that the PMV index satisfies the indoor temperature range based on the reference analysis result, then the reference analysis result satisfies the third constraint.

[0054] Further, when the reference analysis result satisfies the first constraint, the second constraint and the third constraint at the same time, it is determined that the reference analysis result satisfies the preset constraint, and the reference thermal balance time scale corresponding to the reference analysis result is used as the target thermal balance time scale, and the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment is output based on the reference analysis result. The output plan can be Figure 2a and Figure 2b For example.

[0055] When the reference analysis result cannot simultaneously meet the first constraint condition, the second constraint condition and the third constraint condition, the reference thermal balance time scale is updated, and the target scheduling model is solved based on the wind power data under the updated reference thermal balance time scale to obtain the reference analysis result, and it is determined whether the reference analysis result meets the preset constraint condition. If not, the reference thermal balance time scale is continuously updated until the reference analysis result meets the preset constraint condition. The reference thermal balance time scale corresponding to the reference analysis result is used as the target thermal balance time scale, and the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment is output based on the reference analysis result.

[0056] Optionally, the thermal power balance constraint, that is, the thermal output provided by the CHP unit and the electric thermal storage boiler is within the reference thermal balance time scale T h The overall supply and demand balance of thermal energy is met.

[0057]

[0058] Among them, T h is the reference thermal energy balance time scale, h; is the heat output of the CHP unit; The heat release power of the electric thermal storage boiler; To consider the transmission temperature loss caused by the thermal inertia of the heat network, MW can be obtained by the difference in thermal power between the initial node on the heat source side and the node on the terminal heat load side.

[0059] For the heating system considering thermal inertia characteristics, the heat source does not need to strictly guarantee the real-time heating balance constraint, and the heat balance time scale T h The total amount of internal heat supply is balanced as a constraint to optimize thermal energy, T h The larger the value, the larger the time scale over which the heating demand can be changed.

[0060] T h Too large may cause the indoor temperature to fluctuate too drastically during the optimization process, and fail to meet the basic comfort requirements of users. To this end, the PMV index is introduced to constrain the indoor temperature range. The indoor temperature constraint formula is as follows:

[0061] |PMV|≤|PMV| max ;

[0062] Among them, |PMV| max The PMV range limits are given for this chapter.

[0063] Taking into account the impact of users' enthusiasm for participating in demand response on the scheduling results, the mean temperature constraint is adopted to ensure that the optimization results meet the heating quality standard within a day, and to avoid the indoor temperature always being at the lower critical value that meets the comfort index during optimization. The heating quality constraint is shown as follows:

[0064]

[0065] in, Design heating standards for indoor spaces, °C. The basic logic of this approach is to find the maximum thermal equilibrium time scale in which the indoor temperature can be maintained at its correct limit (usually 16-26 °C) under extreme weather conditions.

[0066] The technical solution of the embodiment of the present invention determines the target scheduling model of the electric-thermal integrated energy system; the electric-thermal integrated energy system at least includes a preset unit, an electric heat storage boiler and a heat network, and the target scheduling model objective function, power supply balance constraint, preset unit output constraint, preset unit climbing constraint, electric heat storage boiler output constraint, heat network node flow constraint and heat network temperature constraint are established; wind power data and reference heat balance time scale within the first preset time period before the current moment are obtained, and the target scheduling model is solved based on the wind power data under the reference heat balance time scale to obtain a reference analytical result; if the reference analytical result meets the preset constraint condition, the reference heat balance time scale corresponding to the reference analytical result is used as the target heat balance time scale, and the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment is output based on the reference analytical result. The present invention realizes an electric-thermal coordinated optimization operation strategy that fully explores the flexibility of heat sources, heat loads, heat networks and heat storage sides, thereby providing more grid connection space for wind power.

[0067] Embodiment 2

[0068] The technical solution of this embodiment provides a detailed description of the objective function, power supply balance constraints, preset unit output constraints, preset unit climbing constraints, electric heat storage boiler output constraints, heating network node flow constraints and heating network temperature constraints in the target scheduling model based on the above embodiments.

[0069] Optionally, the objective function is to take the sum of the total operating cost of the electric-thermal integrated energy system and the wind abandonment penalty cost as the minimum target, and the objective function is expressed as follows:

[0070]

[0071] Among them, F1 is the total operating cost of the dispatch, ΔT1 is the number of scheduled dispatch periods, is the operating cost of the CHP unit, is the operating cost of a traditional pure condensing thermal power unit, The operating cost of the electric thermal storage boiler is is the operating cost of the wind turbine.

[0072] Optionally, the user's power demand is mainly provided by wind power, thermal power units and CHP units, and the total power generation in each period and the total power load of the electric-thermal integrated energy system are always balanced. The power supply balance constraint is expressed as:

[0073]

[0074] Among them, E t is the total electric load of the electric-thermal integrated energy system in period t, MW, For CHP units, is the power generation capacity of the traditional pure condensing thermal power unit, is the power generation capacity of the electric thermal storage boiler, is the power generation capacity of the wind turbine.

[0075] Optionally, the wind turbine output constraint is expressed as:

[0076]

[0077] in, is the predicted theoretical power generation of the wind turbine, is the actual power generation of the wind turbine;

[0078] Optionally, the operating characteristics of the CHP unit have a strong mutual coupling relationship between its electrical output and thermal output, and the upper and lower limits of the electrical (thermal) output are functions of its heating (power) power. The output constraints of the CHP unit and the output constraints of the traditional pure condensing thermal power unit are expressed as:

[0079]

[0080] in, They are respectively the CHP units with thermal output of Upper and lower limits of hourly power output, MW; They are respectively the CHP units with power output of The upper and lower limits of thermal output at , MW; They are the upper and lower limits of the power output of traditional pure condensing thermal power units, MW;

[0081] Optionally, in actual dispatching, the increase or decrease of the output of each unit within a certain period of time is subject to certain restrictions. In order to meet the instructions of the dispatching center, the present invention only considers the ramp constraints of the output power of the CHP unit and the traditional pure condensing thermal power unit (CON unit). The increase and decrease of the unit's electrical output and thermal output power in a single time period should not exceed its ramp rate. Specifically, the ramp constraints of the CHP unit and the ramp constraints of the traditional pure condensing thermal power unit are expressed as:

[0082]

[0083] in, are the downward and upward ramp rates of the CHP unit in electrical output, MW·h-1; They are the downward and upward ramp rates of traditional pure condensing thermal power units, MW·h-1; They are the downward and upward ramp rates of thermal output of CHP units, MW·h-1.

[0084] Optionally, according to the working characteristics analysis of the electric thermal storage boiler, the heat storage capacity and heat storage / release speed of the electric thermal storage boiler during operation are subject to certain constraints. The output constraint of the electric thermal storage boiler is expressed as:

[0085]

[0086] In the formula, is the upper limit of the heat release power of the electric thermal storage boiler, MW; are the upper limits of the heat storage and heat release power of the heat storage medium of the electric heat storage boiler, MW; η SREB The electric heat conversion efficiency of the electric thermal storage boiler; is the power consumption of the electric thermal storage boiler, MW; They are the upper limits of the speed of increase and decrease of the input power of the electric thermal storage boiler, MW·h-1.

[0087] Optionally, there are many pipe intersection nodes in the heating network of the heating area, and the hot water is merged at the intersection node of the pipe network. Assuming that there is no heat loss at the node, the hot water in all the thermal pipe networks flowing into the same node is mixed at the node, and the outlet water temperature of each pipe section flowing out of the node is equal to the mixed temperature. Specifically, the flow constraint of the heating network node is expressed as:

[0088]

[0089] in, are the collections of pipe segments flowing into and out of the same node; are the inlet water temperature and outlet water temperature of the connecting pipe segment j at time t respectively; are the hot water mixing temperatures at node n at time t;

[0090] Optionally, there are upper and lower temperature limits for the supply and return water in the heating network, which mainly come from the supply and return water temperature range restrictions set by the heating center according to the national heating standards. Specifically, the heating network temperature constraint is expressed as:

[0091]

[0092] in, are the inlet and outlet temperatures of the heating network nodes during period t respectively; They are the upper and lower limits of the inlet temperature of the heating network node respectively; They are the upper and lower limits of the outlet temperature of the heating network node respectively.

[0093] The technical solution of this embodiment realizes a detailed introduction of each constraint in the target scheduling model to ensure the accuracy of the model.

[0094] Embodiment 3

[0095] Figure 3 This is a flowchart of another method for dispatching an electric-thermal integrated energy system based on thermal inertia provided by an embodiment of the present invention. The technical solution of this embodiment further optimizes the method for dispatching an electric-thermal integrated energy system based on thermal inertia on the basis of the above embodiment. This embodiment can be combined with various optional solutions in one or more of the above embodiments. Figure 3 As shown, the thermal inertia-based electric-thermal integrated energy system scheduling method of the present invention includes:

[0096] S210, obtaining an output plan of the electric-thermal integrated energy system within a first preset time period after the current moment.

[0097] S220: When the target time for the operation of the electric-thermal integrated energy system enters the first preset time period after the current moment, reference wind power data within the preset time period before the target time is obtained every second preset time period.

[0098] Among them, the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment can also be understood as a day-ahead scheduling plan.

[0099] Specifically, after predicting the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment, the corresponding reference thermal balance time scale can be used as the target thermal balance time scale, because the output plan under this reference thermal balance time scale is optimal.

[0100] For example, Figure 2a The PMV value range under different thermal energy balance time scales Th is shown. When Th is 6h, 4h, 3h, 2h and 1h, the PMV values ​​are significantly different. When Th is less than or equal to 3h, the basic thermal comfort needs of users under the ISO7730 standard can be met (that is, the absolute value of PMV is within 0.5). Figure 2bThe change of system operating cost under different thermal energy balance time scales Th is shown. As T_h continues to increase, the change ratio of total operating cost is not obvious. The total cost is reduced by 1.03% from T_h = 1 hour to T_h = 6 hours. The penalty cost of wind abandonment is also reduced. This is the result of the widening of the adjustable output space of the heating unit with the increase of T_h. It has been verified in the day-ahead scheduling plan that within the thermal energy balance time scale Th, the dynamic impact of changing the system scheduling time interval on the heating quality is controlled within a reasonable range that meets the user's comfort. Therefore, 3h can be selected as the scheduling time scale of thermal energy balance in the intraday plan and the scheduling cycle of rolling update forecast data, that is, the second preset time is 3h. The intraday plan can be understood as the output plan of the electric-thermal integrated energy system for three hours after every 3h output.

[0101] S230. Obtain an output plan of the electric-thermal integrated energy system within a second preset time after the target time based on reference wind power data and a target scheduling model, until the target time is no longer within a first preset time period after the current moment.

[0102] For example, based on the day-ahead plan, the intraday plan is executed every 3 hours, responsible for outputting the scheduling plan for the remaining time periods of the day, but only the plan for the first 3 hours is executed. According to this rule, the intraday plan is updated 8 times in total. As time goes by, the scheduling cycle continues to shorten, and the last rolling update outputs the last 3 hours of the unit output plan. The intraday plan scheduling interval is 15 minutes, and the wind power output and load power forecast data input in the first 3 hours of each scheduling rolling cycle are the latest updated data. After gradual correction, the accuracy of power scheduling will be improved, and eventually a unit output plan for each time period in a day will be formed that is more closely matched with the actual load.

[0103] The objective function of the daily dispatch plan of the integrated energy system is still based on the total system operating cost F oc and penalty cost of abandoned wind power F wc The goal is to minimize the sum of. Different from the previous single day-ahead plan, intraday scheduling is a multi-period optimization scheduling problem with rolling updated data input to track wind power as accurately as possible, as shown below.

[0104]

[0105] Where F2 is the total operating cost of the intraday schedule; ΔΤ2: the number of remaining schedule periods in the intraday plan. The starting time of the intraday plan update is calculated as follows:

[0106] T start =3×|rank-1|;

[0107] Among them, rank is the serial number of the daily scheduling plan update.

[0108] Intraday scheduling is based on the day-ahead plan, and the latest forecast data is updated on a rolling basis to improve the accuracy of the power generation plan. Therefore, the deviation between the intraday plan and the day-ahead scheduling plan needs to be limited to a certain range.

[0109]

[0110] in, is the day-ahead dispatch output power of each generator set in period t, MW; is the daily dispatch output power of each generator set during period t, MW; ΔP d，max It is the allowable output power deviation limit of each generator set, MW.

[0111] In order to reflect the impact of the randomness and volatility of wind power generation on the optimization results, the wind energy forecast power curve within the 3h scheduling time scale within the day is simulated by superimposing appropriate proportional disturbances on the output data of the wind farm.

[0112] The balance of the electric power output curve within a day for the optimization of the daily electricity-heat time scale scheduling is as follows Figure 4a As shown in the figure, due to the real-time balance of power supply and demand, after the intraday dispatch uses the rolling correction of short-term forecast data, the error between the power output result of the dispatch plan and the intraday forecast load is small, the overall output trend of each unit is close to the planned output on the day before, and the power load tracking accuracy of the dispatch plan is improved. This shows that the proposed time scale optimization method can gradually correct the deviations caused by the uncertainty and volatility of power load forecasting, and further ensure the economic and stable operation of the entire power-heat combined system.

[0113] The time-scale scheduling plan can be understood as first predicting the output plan of the electric-thermal integrated energy system within a day, and then further predicting the output plan of the electric-thermal integrated energy system in different time periods when the day arrives, that is, the intraday scheduling plan for the day.

[0114] The wind power output curve of the next day in the time scale scheduling plan is as follows Figure 4b As shown in the figure, after considering the differentiated energy characteristics of electricity and heat, the intraday dispatch strategy adjusts the time scale of power dispatch, and reduces the wind power input error by rolling update of forecast data. The wind curtailment situation has been further improved. Except for the high wind curtailment period from 23:00 to 6:00, some wind power is still affected by the system's own installed capacity ratio and is difficult to be fully absorbed, the fluctuating wind power in the rest of the period can basically be fully utilized. Compared with the day-ahead dispatch, the wind curtailment rate of the intraday plan has been further reduced by about 3.57%, verifying the good performance of the proposed time scale plan.

[0115] The time-scale dispatch optimization strategy of the electric-thermal integrated energy system involved in the present invention improves the utilization rate of wind power, can better solve the contradiction between the system economy and the wind power consumption problem faced by the IEDHS optimization dispatch under high wind power penetration, and promote the comprehensive access to the grid of clean wind power.

[0116] Embodiment 4

[0117] Figure 5 The schematic diagram of the structure of a thermal inertia-based electric-thermal integrated energy system dispatching device provided in an embodiment of the present invention is applicable to the situation where a thermal inertia-based electric-thermal integrated energy system is used to reasonably utilize wind power. The thermal inertia-based electric-thermal integrated energy system dispatching device can be implemented in the form of hardware and / or software. The thermal inertia-based electric-thermal integrated energy system dispatching device can be configured in any electronic device with network communication function. Figure 3 As shown, the thermal inertia-based electric-thermal integrated energy system scheduling device of the present invention includes:

[0118] The model determination module 310 is used to determine the target scheduling model of the electric-thermal integrated energy system; the electric-thermal integrated energy system at least includes a preset unit, an electric heat storage boiler and a heat network, and the target scheduling model objective function, power supply balance constraint, preset unit output constraint, preset unit climbing constraint, electric heat storage boiler output constraint, heat network node flow constraint and heat network temperature constraint are established;

[0119] The analysis module 320 is used to obtain wind power data and a reference heat balance time scale within a first preset time period before the current moment, and solve the target scheduling model based on the wind power data under the reference heat balance time scale to obtain a reference analysis result; the reference heat balance time scale is used to describe a time scale within the first preset time period with a second preset time period as an interval;

[0120] The prediction module 330 is used to use the reference thermal balance time scale corresponding to the reference analytical result as the target thermal balance time scale if the reference analytical result meets the preset constraints, and output the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment based on the reference analytical result.

[0121] On the basis of the above embodiment, optionally, the prediction module is also used for: when the target time of the operation of the electric-thermal integrated energy system enters the first preset time period after the current moment, the reference wind power data within the preset time before the target time is obtained every second preset time, and based on the reference wind power data and the target scheduling model, the output plan of the electric-thermal integrated energy system within the second preset time after the target time is obtained, until the target time is no longer within the first preset time period after the current moment.

[0122] On the basis of the above embodiment, optionally, the preset units at least include CHP units, traditional pure condensing thermal power units and wind power units.

[0123] Based on the above embodiment, optionally, the objective function is to take the sum of the total operating cost of the electric-thermal integrated energy system and the wind abandonment penalty cost as the minimum target, and the objective function is expressed as follows:

[0124]

[0125] Among them, F1 is the total operating cost of the dispatch, ΔT1 is the number of scheduled dispatch periods, is the operating cost of the CHP unit, is the operating cost of a traditional pure condensing thermal power unit, The operating cost of the electric thermal storage boiler is is the operating cost of the wind turbine.

[0126] Based on the above embodiment, optionally, the power supply balance constraint is expressed as:

[0127]

[0128] Among them, E t is the total electric load of the electric-thermal integrated energy system in period t, MW, For CHP units, is the power generation capacity of the traditional pure condensing thermal power unit, is the power generation capacity of the electric thermal storage boiler, is the power generation capacity of the wind turbine.

[0129] Based on the above embodiment, optionally, the wind turbine output constraint is expressed as:

[0130]

[0131] in, is the predicted theoretical power generation of the wind turbine, is the actual power generation of the wind turbine;

[0132] Correspondingly, the output constraints of CHP units and traditional pure condensing thermal power units are expressed as:

[0133]

[0134] in, They are respectively the CHP units with thermal output of Upper and lower limits of hourly power output, MW; They are respectively the CHP units with power output of The upper and lower limits of thermal output at , MW; They are the upper and lower limits of the power output of traditional pure condensing thermal power units, MW;

[0135] Correspondingly, the ramping constraints of the CHP unit and the traditional pure condensing thermal power unit are expressed as:

[0136]

[0137] in, are the downward and upward ramp rates of the CHP unit in electrical output, MW·h-1; They are the downward and upward ramp rates of traditional pure condensing thermal power units, MW·h-1; They are the downward and upward ramp rates of thermal output of CHP units, MW·h-1.

[0138] Based on the above embodiment, optionally, the output constraint of the electric thermal storage boiler is expressed as:

[0139]

[0140] In the formula, is the upper limit of the heat release power of the electric thermal storage boiler, MW; are the upper limits of the heat storage and heat release power of the heat storage medium of the electric heat storage boiler, MW; η SREB The electric heat conversion efficiency of the electric thermal storage boiler; is the power consumption of the electric thermal storage boiler, MW; They are the upper limits of the speed of increase and decrease of the input power of the electric thermal storage boiler, MW·h-1.

[0141] Based on the above embodiment, optionally, the heat network node flow constraint is expressed as:

[0142]

[0143] in, are the collections of pipe segments flowing into and out of the same node; are the inlet water temperature and outlet water temperature of the connecting pipe segment j at time t respectively; are the hot water mixing temperatures at node n at time t;

[0144] Correspondingly, the thermal network temperature constraint is expressed as:

[0145]

[0146] in, are the inlet and outlet temperatures of the heating network nodes during period t respectively; They are the upper and lower limits of the inlet temperature of the heating network node respectively; They are the upper and lower limits of the outlet temperature of the heating network node respectively.

[0147] The thermal inertia-based electric-thermal integrated energy system scheduling device provided in an embodiment of the present invention can execute the thermal inertia-based electric-thermal integrated energy system scheduling method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0148] Embodiment 5

[0149] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0150] Figure 6 A schematic diagram of the structure of an electronic device that can be used to implement the thermal inertia-based electric-thermal integrated energy system scheduling method of an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0151] like Figure 6 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0152] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0153] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a scheduling method for an electric-thermal integrated energy system based on thermal inertia.

[0154] In some embodiments, the thermal inertia-based electric-thermal integrated energy system scheduling method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the thermal inertia-based electric-thermal integrated energy system scheduling method described above may be executed. Alternatively, in other embodiments, the processor 11 may be configured to execute the thermal inertia-based electric-thermal integrated energy system scheduling method by any other appropriate means (e.g., by means of firmware).

[0155] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0156] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0157] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0158] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0159] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0160] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0161] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0162] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for dispatching an electric-thermal integrated energy system based on thermal inertia, characterized in that: The method comprises: Determine a target scheduling model for an electric-thermal integrated energy system; the electric-thermal integrated energy system includes at least a preset unit, an electric heat storage boiler and a heat network, and the target scheduling model objective function, power supply balance constraint, preset unit output constraint, preset unit ramp constraint, electric heat storage boiler output constraint, heat network node flow constraint and heat network temperature constraint are established; Acquire wind power data and a reference heat balance time scale within a first preset time period before the current moment, and solve the target scheduling model based on the wind power data under the reference heat balance time scale to obtain a reference analytical result; the reference heat balance time scale is used to describe a time scale within the first preset time period with a second preset time period as an interval; If the reference analysis result meets the preset constraints, the reference thermal balance time scale corresponding to the reference analysis result is used as the target thermal balance time scale, and the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment is output based on the reference analysis result.

2. The method according to claim 1, characterized in that After outputting the output plan of the electric-thermal integrated energy system within a first preset time period after the current moment based on the reference analysis result, the method further includes: When the target time for the operation of the electric-thermal integrated energy system enters the first preset time period after the current moment, the reference wind power data within the preset time before the target time is obtained every second preset time, and the output plan of the electric-thermal integrated energy system within the second preset time after the target time is obtained based on the reference wind power data and the target scheduling model, until the target time is no longer within the first preset time period after the current moment.

3. The method according to claim 1, characterized in that The preset units at least include CHP units, traditional pure condensing thermal power units and wind power units.

4. The method according to claim 3, characterized in that The objective function takes the sum of the total operating cost of the electric-thermal integrated energy system and the penalty cost of wind abandonment as the minimum target. The objective function is expressed as follows: Among them, F1 is the total operating cost of the dispatch, ΔT1 is the number of scheduled dispatch periods, is the operating cost of the CHP unit, is the operating cost of a traditional pure condensing thermal power unit, The operating cost of the electric thermal storage boiler is is the operating cost of the wind turbine.

5. The method according to claim 3, characterized in that: The power balance constraint is expressed as: Among them, E t is the total electric load of the electric-thermal integrated energy system in period t, MW, For CHP units, is the power generation capacity of the traditional pure condensing thermal power unit, is the power generation capacity of the electric thermal storage boiler, is the power generation capacity of the wind turbine.

6. The method according to claim 3, characterized in that: The wind turbine output constraint is expressed as: in, is the predicted theoretical power generation of the wind turbine, is the actual power generation of the wind turbine; Correspondingly, the output constraints of CHP units and traditional pure condensing thermal power units are expressed as: in, They are respectively the CHP units with thermal output of Upper and lower limits of hourly power output, MW; The power output of the CHP units is The upper and lower limits of thermal output at , MW; They are the upper and lower limits of the power output of traditional pure condensing thermal power units, MW; Correspondingly, the ramping constraints of the CHP unit and the traditional pure condensing thermal power unit are expressed as: in, They are the downward and upward ramp rates of the CHP unit in terms of power output, MW·h-1; They are the downward and upward ramp rates of traditional pure condensing thermal power units, MW·h-1; They are the downward and upward ramp rates of thermal output of CHP units, MW·h-1.

7. The method according to claim 1, characterized in that The output constraint of the electric heat storage boiler is expressed as: In the formula, is the upper limit of the heat release power of the electric thermal storage boiler, MW; are the upper limits of the heat storage and heat release power of the heat storage medium of the electric heat storage boiler, MW; η SREB The electric heat conversion efficiency of the electric thermal storage boiler; is the power consumption of the electric thermal storage boiler, MW; They are the upper limits of the speed of increase and decrease of the input power of the electric thermal storage boiler, MW·h-1.

8. The method according to claim 1, characterized in that The flow constraint of the heating network node is expressed as: in, are the collections of pipe segments flowing into and out of the same node; are the inlet water temperature and outlet water temperature of the connecting pipe segment j at time t respectively; are the hot water mixing temperatures at node n at time t; Correspondingly, the thermal network temperature constraint is expressed as: in, are the inlet and outlet temperatures of the heating network nodes during period t respectively; They are the upper and lower limits of the inlet temperature of the heating network node respectively; They are the upper and lower limits of the outlet temperature of the heating network node respectively.

9. A dispatching device for an electric-thermal integrated energy system based on thermal inertia, characterized in that: The device comprises: A model determination module is used to determine a target scheduling model for an electric-thermal integrated energy system; the electric-thermal integrated energy system includes at least a preset unit, an electric heat storage boiler and a heat network, and the target scheduling model objective function, power supply balance constraint, preset unit output constraint, preset unit ramp constraint, electric heat storage boiler output constraint, heat network node flow constraint and heat network temperature constraint are established; A parsing module, used to obtain wind power data and a reference thermal balance time scale within a first preset time period before the current moment, and solve the target scheduling model based on the wind power data under the reference thermal balance time scale to obtain a reference parsing result; the reference thermal balance time scale is used to describe a time scale within the first preset time period with a second preset time period as an interval; A prediction module is used to use the reference thermal balance time scale corresponding to the reference analytical result as the target thermal balance time scale if the reference analytical result meets the preset constraints, and output the output plan of the electric-thermal integrated energy system within the first preset time period after the current moment based on the reference analytical result.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the thermal inertia-based electric-thermal integrated energy system scheduling method according to any one of claims 1 to 7 when executed.

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