Comprehensive energy system optimization scheduling method and device considering unit start-stop process

Abstract

The invention provides an integrated energy system optimization scheduling method and device considering a unit start-stop process, and belongs to the technical field of operation control of an integrated energy system. The method comprises the steps that an integrated energy system optimization scheduling model is constructed, and the integrated energy system optimization scheduling model is composed of an objective function and constraint conditions; wherein the target function enables the total operation cost of the integrated energy system to be minimum; the constraint conditions comprise unit start-stop process constraints; and solving the optimal scheduling model of the integrated energy system to obtain an optimal scheduling strategy of each device in the integrated energy system. According to the method, various resources in the comprehensive energy system are collaboratively optimized while the constraint of the start-stop process is met, and safe, economical, efficient and low-carbon operation of the comprehensive energy system is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of operation control of integrated energy systems, and in particular relates to an integrated energy system optimization scheduling method and device taking into account the start-stop process of a unit. Background Art

[0002] An integrated energy system is an energy system that couples multiple heterogeneous energy flows such as electricity, heat, cold, and gas (natural gas / hydrogen). Optimizing scheduling by utilizing the synergistic characteristics of multiple energy flows in an integrated energy system is a powerful way to improve system energy efficiency, reduce energy supply costs, and absorb new energy. In an integrated energy system, the coupling conversion equipment between different energy flows usually has different start-stop characteristics. For example, although an electric hydrogen production unit consumes electricity for a period of time after it is just turned on, it cannot produce hydrogen. If the start-up and shutdown process of the equipment is not taken into account, the optimization scheduling results will not meet the actual situation and will be greatly different from the actual operation, which may affect the effectiveness of the optimization scheduling strategy. Most of the current research on the start-stop process focuses on fixed start-stop curves. For example, the invention patent with application number 202011290630.9 can only focus on start-stop processes of fixed length. For example, the invention patent with application number 202310681930.7 can consider start-stop processes of arbitrary length, but can only consider the constraints of the given start-stop characteristic curve, and only focuses on the start-stop process of large generators, without considering heterogeneous energy flow coupling.

[0003] Most of the current research on the start-stop process focuses on fixed start-stop curves. For example, the invention patent with application number 202011290630.9 can only focus on start-stop processes of fixed length. For example, the invention patent with application number 202310681930.7 can consider start-stop processes of arbitrary length, but can only consider the constraints of the given start-stop characteristic curve, and only focuses on the start-stop process of large generators, without considering heterogeneous energy flow coupling. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and propose a method and device for optimizing the scheduling of an integrated energy system taking into account the start-up and shutdown process of the unit. While satisfying the constraints of the start-up and shutdown process, the present invention coordinates and optimizes various resources in the integrated energy system to achieve safe, economical, efficient and low-carbon operation of the integrated energy system.

[0005] The first embodiment of the present invention proposes a comprehensive energy system optimization scheduling method considering the start-up and shutdown process of the unit, including:

[0006] Constructing an optimal dispatching model for an integrated energy system, wherein the optimal dispatching model for an integrated energy system is composed of an objective function and constraints; wherein the objective function minimizes the total operating cost of the integrated energy system; and the constraints include constraints on the start-stop process of the unit;

[0007] Solve the optimization scheduling model of the integrated energy system to obtain the optimal scheduling strategy for each device in the integrated energy system.

[0008] In a specific embodiment of the present invention, the objective function expression is as follows:

[0009]

[0010] Where t is the number of the scheduling period; Y is the set of all scheduling periods; is the active power value of the tie line of the integrated energy system in the dispatch period t; Δt is the time interval between adjacent dispatch periods; i is the number of any device in the integrated energy system; S D It is the collection of all equipment in the integrated energy system; S G is the set of all thermal power units in the integrated energy system, S W is the set of all new energy generating units in the integrated energy system, S CHP is the set of all CHP units in the integrated energy system, S GB is the set of all gas boilers in the integrated energy system, S AC is the set of all absorption units in the integrated energy system, S EB is the set of all electric boilers in the integrated energy system, S EC It is a collection of electric refrigeration machines in a comprehensive energy system; is the electricity purchase price during dispatch period t, c s,i is the startup cost of device i, is the operating cost of equipment i; is a 0-1 variable that represents the power-on action of device i in the scheduling period t. If device i changes from the shutdown state to the power-on state in the scheduling period t, then The value is 1, otherwise The value is 0; is a 0-1 variable representing the operating status of device i in the scheduling period t. If device i is in the power-on state in the scheduling period t, The value of is 1. If device i is in shutdown state during the scheduling period t, then The value of is 0;

[0011] When i∈S G ∪S GB ∪S AC When c i is the operating cost coefficient of traditional thermal power units, gas boilers or absorption units; for traditional thermal power units, is the active power generated by traditional thermal power unit i in the dispatching period t; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t; for absorption units, is the thermal power generated by absorption unit i in the dispatch period t;

[0012] When i∈S CHP When c E,i and c H,i are the power generation cost coefficient and heating cost coefficient of cogeneration unit i respectively; and are the active power and thermal power generated by cogeneration unit i in scheduling period t, respectively.

[0013] In a specific embodiment of the present invention, the constraint conditions include:

[0014] Equipment operating status constraints:

[0015]

[0016] In the formula, is a 0-1 variable that represents the shutdown action of device i in the scheduling period t. If device i changes from the on state to the off state in the scheduling period t, then The value is 1. In other cases The value is 0;

[0017] Equipment operation constraints:

[0018]

[0019] In the formula, for thermal power units, P i,min and P i,max are the lower and upper limits of the active power generated by thermal power unit i; for gas boilers, P i,min and P i,max are the lower and upper limits of the thermal power generated by gas boiler i; for absorption units, P i,min and P i,max are the lower and upper limits of the thermal power generated by absorption unit i; for electric boilers, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric boiler i; for electric refrigerators, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric refrigerator i, respectively;

[0020] For thermal power plants, is the active power generated by thermal power unit i in the dispatching period t-1; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t-1; for absorption units, is the thermal power generated by absorption unit i in the dispatching period t-1; for electric boilers, is the electric power consumed by electric boiler i in the scheduling period t-1; for electric refrigerators, is the electric power consumed by electric refrigerator i in the scheduling period t-1;

[0021] R i,up and R i,down are the upward climbing rate and downward climbing rate of device i respectively; R i,su and R i,sd are the startup rate and shutdown rate of device i respectively;

[0022] Operation constraints of new energy generator sets:

[0023]

[0024] Where P t i,pre is the predicted value of the active power generated by the new energy generator set i in the dispatching period t;

[0025] Cogeneration unit operation constraints:

[0026]

[0027] Where, EP i is the set of feasible region endpoints of CHP unit i, P i,k and H i,k are the active power value and thermal power value of the kth endpoint of the feasible region of the cogeneration unit i, respectively; is the kth combination coefficient of CHP unit i in the dispatch period t;

[0028] Battery operation constraints:

[0029]

[0030] In the formula, S ES It is the collection of all energy storage components in the integrated energy system; and are the charging power and discharging power of battery i in scheduling period t respectively; is the power of battery i in the scheduling period t; P c,i,max and P dc,i,max are the maximum charging power and the maximum discharging power of battery i respectively; E i,min and E i,max are the minimum and maximum values ​​of the battery i respectively; η c,i and η dc,i are the charging efficiency and discharging efficiency of battery i, respectively, and is the power of battery i in the scheduling period t-1;i is the self-consumption rate of battery i; are the power, charging power, and discharging power of battery i in the first scheduling period, respectively. is the amount of electricity stored in battery i at the initial time before scheduling;

[0031] Cooling and heating load constraints:

[0032]

[0033] In the formula, is the heat capacity of heating load i or cooling load i; is the indoor temperature of heating load i or cooling load i in scheduling period t; is the indoor temperature of heating load i or cooling load i in the scheduling period t-1; U i is the thermal conductivity of heating load i or cooling load i; is the ambient temperature during the scheduling period t; τ i,min and τ i,max are the minimum and maximum indoor temperatures of heating load i or cooling load i, respectively; is the thermal power consumed by heat load i; S HL is the set of all heat loads in the integrated energy system, S CL It is the set of all cooling loads in the integrated energy system;

[0034] Energy balance constraints:

[0035]

[0036] Where η EB,i is the heating coefficient of electric boiler i, COP i is the refrigeration coefficient of electric refrigerator i; P t L,i is the active power consumed by load i in dispatch period t, S L It is the collection of all electrical loads within the integrated energy system;

[0037] State variable constraints of the unit start-stop process:

[0038]

[0039] in, are the time when unit i is in the starting process and the stopping process respectively; are 0-1 variables indicating whether device i is in the startup or shutdown process at time t;

[0040] Operation constraints during unit start-up and shutdown:

[0041]

[0042] Wherein, M is a positive number, which is greater than the maximum value of all unit capacities; are the maximum ramp rates during the start and stop of device i, respectively; They are the minimum and maximum power limits during the startup of device i, respectively; They are the minimum and maximum power limits of device i during the shutdown process.

[0043] In a specific embodiment of the present invention, it also includes:

[0044] The branch and bound method is used to solve the optimization scheduling model of the integrated energy system, and the obtained p i t That is, it is the optimal scheduling strategy for each device i in the integrated energy system during the scheduling period t.

[0045] The second embodiment of the present invention proposes an integrated energy system optimization scheduling device considering the start-up and shutdown process of the unit, comprising:

[0046] A model building module is used to build an optimal scheduling model for an integrated energy system, wherein the optimal scheduling model for an integrated energy system is composed of an objective function and constraints; wherein the objective function minimizes the total operating cost of the integrated energy system; and the constraints include constraints on the start-stop process of the unit;

[0047] The scheduling optimization module is used to solve the optimization scheduling model of the integrated energy system and obtain the optimal scheduling strategy for each device in the integrated energy system.

[0048] In a specific embodiment of the present invention, the objective function expression is as follows:

[0049]

[0050] Where t is the number of the scheduling period; Y is the set of all scheduling periods; is the active power value of the tie line of the integrated energy system in the dispatch period t; Δt is the time interval between adjacent dispatch periods; i is the number of any device in the integrated energy system; S D It is the collection of all equipment in the integrated energy system; S G is the set of all thermal power units in the integrated energy system, S W is the set of all new energy generating units in the integrated energy system, S CHP is the set of all CHP units in the integrated energy system, S GB is the set of all gas boilers in the integrated energy system, S AC is the set of all absorption units in the integrated energy system, S EBis the set of all electric boilers in the integrated energy system, S EC It is a collection of electric refrigeration machines in a comprehensive energy system; is the electricity purchase price during dispatch period t, c s,i is the startup cost of device i, is the operating cost of equipment i; is a 0-1 variable that represents the power-on action of device i in the scheduling period t. If device i changes from the shutdown state to the power-on state in the scheduling period t, then The value is 1, otherwise The value is 0; is a 0-1 variable representing the operating status of device i in the scheduling period t. If device i is in the power-on state in the scheduling period t, The value of is 1. If device i is in shutdown state during the scheduling period t, then The value of is 0;

[0051] When i∈S G ∪S GB ∪S AC When c i is the operating cost coefficient of traditional thermal power units, gas boilers or absorption units; for traditional thermal power units, is the active power generated by traditional thermal power unit i in the dispatching period t; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t; for absorption units, is the thermal power generated by absorption unit i in the dispatch period t;

[0052] When i∈S CHP When c E,i and c H,i are the power generation cost coefficient and heating cost coefficient of cogeneration unit i respectively; and are the active power and thermal power generated by cogeneration unit i in scheduling period t, respectively.

[0053] In a specific embodiment of the present invention, the constraint conditions include:

[0054] Equipment operating status constraints:

[0055]

[0056] In the formula, is a 0-1 variable that represents the shutdown action of device i in the scheduling period t. If device i changes from the on state to the off state in the scheduling period t, then The value is 1. In other cases The value is 0;

[0057] Equipment operation constraints:

[0058]

[0059] In the formula, for thermal power units, P i,min and P i,max are the lower and upper limits of the active power generated by thermal power unit i; for gas boilers, P i,min and P i,max are the lower and upper limits of the thermal power generated by gas boiler i; for absorption units, P i,min and P i,max are the lower and upper limits of the thermal power generated by absorption unit i; for electric boilers, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric boiler i; for electric refrigerators, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric refrigerator i, respectively;

[0060] For thermal power plants, is the active power generated by thermal power unit i in the dispatching period t-1; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t-1; for absorption units, is the thermal power generated by absorption unit i in the dispatching period t-1; for electric boilers, is the electric power consumed by electric boiler i in the scheduling period t-1; for electric refrigerators, is the electric power consumed by electric refrigerator i in the scheduling period t-1;

[0061] R i,up and R i,down are the upward climbing rate and downward climbing rate of device i respectively; R i,su and R i,sd are the startup rate and shutdown rate of device i respectively;

[0062] Operation constraints of new energy generator sets:

[0063]

[0064] Where P t i,pre is the predicted value of the active power generated by the new energy generator set i in the dispatching period t;

[0065] Cogeneration unit operation constraints:

[0066]

[0067] In the formula, EP iis the set of feasible region endpoints of CHP unit i, P i,k and H i,k are the active power value and thermal power value of the kth endpoint of the feasible region of the cogeneration unit i, respectively; is the kth combination coefficient of CHP unit i in the dispatch period t;

[0068] Battery operation constraints:

[0069]

[0070] In the formula, S ES It is the collection of all energy storage components in the integrated energy system; and are the charging power and discharging power of battery i in scheduling period t respectively; is the power of battery i in the scheduling period t; P c,i,max and P dc,i,max are the maximum charging power and the maximum discharging power of battery i respectively; E i,min and E i,max are the minimum and maximum values ​​of the battery i respectively; η c,i and η dc,i are the charging efficiency and discharging efficiency of battery i, respectively, and is the power of battery i in the scheduling period t-1; i is the self-consumption rate of battery i; are the power, charging power, and discharging power of battery i in the first scheduling period, respectively. is the amount of electricity stored in battery i at the initial time before scheduling;

[0071] Cooling and heating load constraints:

[0072]

[0073]

[0074] In the formula, is the heat capacity of heating load i or cooling load i; is the indoor temperature of heating load i or cooling load i in scheduling period t; is the indoor temperature of heating load i or cooling load i in the scheduling period t-1; U i is the thermal conductivity of heating load i or cooling load i; is the ambient temperature during the scheduling period t; τ i,min and τ i,max are the minimum and maximum indoor temperatures of heating load i or cooling load i, respectively; is the thermal power consumed by heat load i; S HL is the set of all heat loads in the integrated energy system, SCL It is the set of all cooling loads in the integrated energy system;

[0075] Energy balance constraints:

[0076]

[0077] Where η EB,i is the heating coefficient of electric boiler i, COP i is the refrigeration coefficient of electric refrigerator i; P t L,i is the active power consumed by load i in dispatch period t, S L It is the collection of all electrical loads within the integrated energy system;

[0078] State variable constraints of the unit start-stop process:

[0079]

[0080] in, are the time when unit i is in the starting process and the stopping process respectively; are 0-1 variables indicating whether device i is in the startup or shutdown process at time t;

[0081] Operation constraints during unit start-up and shutdown:

[0082]

[0083]

[0084] Wherein, M is a positive number, which is greater than the maximum value of all unit capacities; are the maximum ramp rates during the start and stop of device i, respectively; They are the minimum and maximum power limits during the startup of device i, respectively; They are the minimum and maximum power limits of device i during the shutdown process.

[0085] In a specific embodiment of the present invention, it also includes:

[0086] The branch and bound method is used to solve the comprehensive energy system optimization scheduling model. That is, it is the optimal scheduling strategy for each device i in the integrated energy system during the scheduling period t.

[0087] A third aspect of the present invention provides an electronic device, including:

[0088] at least one processor; and a memory communicatively coupled to the at least one processor;

[0089] Among them, the memory stores instructions that can be executed by the at least one processor, and the instructions are configured to execute the above-mentioned integrated energy system optimization scheduling method considering the start-up and shutdown process of the unit.

[0090] The fourth aspect of the present invention proposes a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the above-mentioned integrated energy system optimization scheduling method considering the start-up and shutdown process of the unit.

[0091] Features and beneficial effects of the present invention:

[0092] In the optimization and scheduling of integrated energy systems, if the equipment start-up and shutdown process is not taken into consideration, the optimization and scheduling results will not meet the actual situation and will be greatly different from the actual operation, which may affect the effect of the optimization and scheduling strategy. The present invention proposes an optimization and scheduling method and device for an integrated energy system that takes into account the start-up and shutdown process of the unit, which can meet the constraints of the start-up and shutdown process while synergistically optimizing various resources in the integrated energy system to achieve safe, economical, efficient and low-carbon operation of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] Figure 1 It is an overall flow chart of an integrated energy system optimization scheduling method taking into account the start-up and shutdown processes of the units according to an embodiment of the present invention. DETAILED DESCRIPTION

[0094] The present invention proposes a method and device for optimizing the scheduling of an integrated energy system taking into account the start-up and shutdown process of a unit, which is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0095] The first embodiment of the present invention proposes a comprehensive energy system optimization scheduling method considering the start-up and shutdown process of the unit, comprising:

[0096] Constructing an optimal dispatching model for an integrated energy system, wherein the optimal dispatching model for an integrated energy system is composed of an objective function and constraints; wherein the objective function minimizes the total operating cost of the integrated energy system; and the constraints include constraints on the start-stop process of the unit;

[0097] Solve the optimization scheduling model of the integrated energy system to obtain the optimal scheduling strategy for each device in the integrated energy system.

[0098] In a specific embodiment of the present invention, the overall process of the integrated energy system optimization scheduling method considering the start-up and shutdown process of the unit is as follows: Figure 1 As shown, the method comprises the following steps:

[0099] 1) Construct the objective function of the integrated energy system optimization scheduling model.

[0100] In this embodiment, the objective function minimizes the total operating cost of the integrated energy system:

[0101]

[0102] Where t is the number of the scheduling period; Y is the set of all scheduling periods; is the active power value of the tie line of the integrated energy system in the dispatch period t; Δt is the time interval between adjacent dispatch periods; i is the number of any device in the integrated energy system; S D is the collection of all equipment in the comprehensive energy system, which in this embodiment includes traditional thermal power units, new energy power generation units, cogeneration units, gas boilers, absorption units, electric boilers and electric refrigerators; S G is the set of all traditional thermal power units in the integrated energy system, S W is the set of all new energy generating units in the integrated energy system, S CHP is the set of all CHP units in the integrated energy system, S GB is the set of all gas boilers in the integrated energy system, S AC is the set of all absorption units in the integrated energy system, S EB is the set of all electric boilers in the integrated energy system, S EC It is a collection of electric refrigeration machines in an integrated energy system. is the electricity purchase price during dispatch period t, c s,i is the startup cost of device i, is the inherent operating cost of device i, Given by market rules or power system, c s,i and Given in the equipment manual. is a 0-1 variable representing the power-on action of device i in the scheduling period t. If device i changes from the shutdown state to the power-on state in the scheduling period t, then The value is 1. In other cases The value is 0. is a 0-1 variable representing the operating status of device i in the scheduling period t. If device i is in the power-on state in the scheduling period t, The value of is 1. If device i is in shutdown state during the scheduling period t, then The value of is 0.

[0103] 2) The constraints for constructing the optimal dispatch model of the integrated energy system include:

[0104] 2-1) Equipment operation status constraints:

[0105]

[0106] In the formula, is a 0-1 variable that represents the shutdown action of device i in the scheduling period t. If device i changes from the on state to the off state in the scheduling period t, then The value is 1. In other cases The value is 0.

[0107] 2-2) Equipment operation constraints:

[0108]

[0109] In the formula, for traditional thermal power units, P i,min and P i,max are the lower and upper limits of the active power generated by traditional thermal power unit i; for gas boilers, P i,min and P i,max are the lower and upper limits of the thermal power generated by gas boiler i; for absorption units, P i,min and P i,max are the lower and upper limits of the thermal power generated by absorption unit i; for electric boilers, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric boiler i; for electric refrigerators, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric refrigerator i, respectively;

[0110] For traditional thermal power plants, is the active power generated by the traditional thermal power unit i in the dispatching period t-1; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t-1; for absorption units, is the thermal power generated by absorption unit i in the dispatching period t-1; for electric boilers, is the electric power consumed by electric boiler i in the scheduling period t-1; for electric refrigerators, is the electric power consumed by electric refrigerator i in the scheduling period t-1;

[0111] R i,up and R i,down are the upward climbing rate and downward climbing rate of device i respectively; R i,su and R i,sd are the startup rate and shutdown rate of device i respectively.

[0112] 2-3) Operation constraints of new energy generator sets:

[0113]

[0114] Where P ti,pre is the predicted value of the active power generated by the new energy generator set i in the dispatching period t;

[0115] 2-4) Operation constraints of cogeneration units:

[0116]

[0117]

[0118] In the formula, EP i is the set of feasible region endpoints of CHP unit i, P i,k and H i,k are the active power value and thermal power value of the kth endpoint of the feasible region of the cogeneration unit i, respectively; is the kth combination coefficient of CHP unit i in the dispatch period t;

[0119] 2-5) Battery operation constraints:

[0120]

[0121] In the formula, S ES It is the collection of all energy storage components in the integrated energy system; and are the charging power and discharging power of battery i in scheduling period t respectively; is the power of battery i in the scheduling period t; P c,i,max and P dc,i,max are the maximum charging power and the maximum discharging power of battery i respectively; E i,min and E i,max are the minimum and maximum values ​​of the battery i respectively; η c,i and η dc,i are the charging efficiency and discharging efficiency of battery i, respectively, and is the power of battery i in the scheduling period t-1; i is the self-consumption rate of battery i; are the power, charging power, and discharging power of battery i in the first scheduling period, respectively. is the amount of electricity stored in battery i at the initial time before scheduling.

[0122] 2-6) Cooling load and heating load constraints:

[0123]

[0124] In the formula, is the heat capacity of heating load i or cooling load i, Obtained through data experiments or based on historical data. is the indoor temperature of heating load i or cooling load i in scheduling period t; is the indoor temperature of heating load i or cooling load i in the scheduling period t-1. i is the thermal conductivity of the heating load i or the cooling load i, U i Obtained through data experiments or based on historical data. is the ambient temperature during the scheduling period t, which can be obtained from the weather forecast. i,min and τ i,max They are the minimum and maximum indoor temperatures of heating load i or cooling load i, respectively, and can be set by the user or obtained according to the operating procedures. is the thermal power consumed by heat load i. HL is the set of all heat loads in the integrated energy system, S CL It is the collection of all cooling loads in the integrated energy system.

[0125] 2-7) Energy balance constraints:

[0126]

[0127] Where η EB,i is the heating coefficient of electric boiler i, COP i is the refrigeration coefficient of electric refrigerator i, η EB,i , COP i Can be obtained from the equipment manual. t L,i is the active power consumed by load i in dispatch period t, S L It is the collection of all electrical loads within the integrated energy system.

[0128] 2-8) State variable constraints of the unit start-stop process:

[0129]

[0130] in, They are respectively the time that unit i is in the startup process and the shutdown process (in the number of scheduling periods), which can be obtained from the equipment manual. They are 0-1 variables indicating whether device i is in the startup or shutdown process at time t.

[0131] 2-9) Operation constraints during unit start-up and shutdown:

[0132]

[0133]

[0134] Among them, M is a large positive number, which must be greater than the maximum value of all unit capacities; are the maximum ramp rates during the start and stop of device i, respectively; They are the minimum and maximum power limits during the startup of device i, respectively; are the minimum and maximum power limits of equipment i during the stop process; equations (24)-(27) are the ramp constraints during the start-stop process, and equations (28)-(29) are the power constraints during the start-stop process.

[0135] 3) Use the branch and bound method to solve the comprehensive energy system optimization scheduling model composed of the objective function of step 1) and the constraints of step 2). The model is a mixed integer linear stochastic programming model. That is, it is the optimal scheduling strategy for each device i in the integrated energy system during the scheduling period t.

[0136] To implement the above embodiment, the second embodiment of the present invention proposes an integrated energy system optimization scheduling device considering the start-up and shutdown process of the unit, including:

[0137] A model building module is used to build an optimal scheduling model for an integrated energy system, wherein the optimal scheduling model for an integrated energy system is composed of an objective function and constraints; wherein the objective function minimizes the total operating cost of the integrated energy system; and the constraints include constraints on the start-stop process of the unit;

[0138] The scheduling optimization module is used to solve the optimization scheduling model of the integrated energy system and obtain the optimal scheduling strategy for each device in the integrated energy system.

[0139] In a specific embodiment of the present invention, the objective function expression is as follows:

[0140]

[0141] Where t is the number of the scheduling period; Y is the set of all scheduling periods; is the active power value of the tie line of the integrated energy system in the dispatch period t; Δt is the time interval between adjacent dispatch periods; i is the number of any device in the integrated energy system; S D It is the collection of all equipment in the integrated energy system; S G is the set of all thermal power units in the integrated energy system, S W is the set of all new energy generating units in the integrated energy system, S CHP is the set of all CHP units in the integrated energy system, S GB is the set of all gas boilers in the integrated energy system, S AC is the set of all absorption units in the integrated energy system, S EB is the set of all electric boilers in the integrated energy system, S EC It is a collection of electric refrigeration machines in a comprehensive energy system; is the electricity purchase price during dispatch period t, c s,i is the startup cost of device i, is the operating cost of equipment i; is a 0-1 variable that represents the power-on action of device i in the scheduling period t. If device i changes from the shutdown state to the power-on state in the scheduling period t, then The value is 1, otherwise The value is 0; is a 0-1 variable representing the operating status of device i in the scheduling period t. If device i is in the power-on state in the scheduling period t, The value of is 1. If device i is in shutdown state during the scheduling period t, then The value of is 0;

[0142] When i∈S G ∪S GB ∪S AC When c i is the operating cost coefficient of traditional thermal power units, gas boilers or absorption units; for traditional thermal power units, is the active power generated by traditional thermal power unit i in the dispatching period t; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t; for absorption units, is the thermal power generated by absorption unit i in the dispatch period t;

[0143] When i∈S CHP When c E,i and c H,i are the power generation cost coefficient and heating cost coefficient of cogeneration unit i respectively; and are the active power and thermal power generated by cogeneration unit i in scheduling period t, respectively.

[0144] In a specific embodiment of the present invention, the constraint conditions include:

[0145] Equipment operating status constraints:

[0146]

[0147] In the formula, is a 0-1 variable that represents the shutdown action of device i in the scheduling period t. If device i changes from the on state to the off state in the scheduling period t, then The value is 1. In other cases The value is 0;

[0148] Equipment operation constraints:

[0149]

[0150] In the formula, for thermal power units, P i,min and P i,max are the lower and upper limits of the active power generated by thermal power unit i; for gas boilers, P i,min and P i,max are the lower and upper limits of the thermal power generated by gas boiler i; for absorption units, P i,min and P i,max are the lower and upper limits of the thermal power generated by absorption unit i; for electric boilers, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric boiler i; for electric refrigerators, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric refrigerator i, respectively;

[0151] For thermal power plants, is the active power generated by thermal power unit i in the dispatching period t-1; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t-1; for absorption units, is the thermal power generated by absorption unit i in the dispatching period t-1; for electric boilers, is the electric power consumed by electric boiler i in the scheduling period t-1; for electric refrigerators, is the electric power consumed by electric refrigerator i in the scheduling period t-1;

[0152] R i,up and R i,down are the upward climbing rate and downward climbing rate of device i respectively; R i,su and R i,sd are the startup rate and shutdown rate of device i respectively;

[0153] Operation constraints of new energy generator sets:

[0154]

[0155] Where P t i,pre is the predicted value of the active power generated by the new energy generator set i in the dispatching period t;

[0156] Cogeneration unit operation constraints:

[0157]

[0158] Where, EP i is the set of feasible region endpoints of CHP unit i, P i,k and H i,kare the active power value and thermal power value of the kth endpoint of the feasible region of the cogeneration unit i, respectively; is the kth combination coefficient of CHP unit i in the dispatch period t;

[0159] Battery operation constraints:

[0160]

[0161] In the formula, S ES It is the collection of all energy storage components in the integrated energy system; and are the charging power and discharging power of battery i in scheduling period t respectively; is the power of battery i in the scheduling period t; P c,i,max and P dc,i,max are the maximum charging power and the maximum discharging power of battery i respectively; E i,min and E i,max are the minimum and maximum values ​​of the battery i respectively; η c,i and η dc,i are the charging efficiency and discharging efficiency of battery i, respectively, and is the power of battery i in the scheduling period t-1; i is the self-consumption rate of battery i; are the power, charging power, and discharging power of battery i in the first scheduling period, respectively. is the amount of electricity stored in battery i at the initial time before scheduling;

[0162] Cooling and heating load constraints:

[0163]

[0164] In the formula, is the heat capacity of heating load i or cooling load i; is the indoor temperature of heating load i or cooling load i in scheduling period t; is the indoor temperature of heating load i or cooling load i in the scheduling period t-1; U i is the thermal conductivity of heating load i or cooling load i; is the ambient temperature during the scheduling period t; τ i,min and τ i,max are the minimum and maximum indoor temperatures of heating load i or cooling load i, respectively; is the thermal power consumed by heat load i; S HL is the set of all heat loads in the integrated energy system, S CL It is the set of all cooling loads in the integrated energy system;

[0165] Energy balance constraints:

[0166]

[0167] Where η EB,i is the heating coefficient of electric boiler i, COP i is the refrigeration coefficient of electric refrigerator i; P t L,i is the active power consumed by load i in dispatch period t, S L It is the collection of all electrical loads within the integrated energy system;

[0168] State variable constraints of the unit start-stop process:

[0169]

[0170]

[0171] in, are the time when unit i is in the starting process and the stopping process respectively; are 0-1 variables indicating whether device i is in the startup or shutdown process at time t;

[0172] Operation constraints during unit start-up and shutdown:

[0173]

[0174] Wherein, M is a positive number, which is greater than the maximum value of all unit capacities; are the maximum ramp rates during the start and stop of device i, respectively; They are the minimum and maximum power limits during the startup of device i, respectively; They are the minimum and maximum power limits of device i during the shutdown process.

[0175] In a specific embodiment of the present invention, it also includes:

[0176] The branch and bound method is used to solve the optimization scheduling model of the integrated energy system, and the obtained p i t That is, it is the optimal scheduling strategy for each device i in the integrated energy system during the scheduling period t.

[0177] This makes it possible to coordinately optimize various resources in the integrated energy system while meeting the constraints of the start-stop process, thereby achieving safe, economical, efficient and low-carbon operation of the integrated energy system.

[0178] To implement the above embodiment, a third aspect of the present invention provides an electronic device, including:

[0179] at least one processor; and a memory communicatively coupled to the at least one processor;

[0180] Among them, the memory stores instructions that can be executed by the at least one processor, and the instructions are configured to execute the above-mentioned integrated energy system optimization scheduling method considering the start-up and shutdown process of the unit.

[0181] To implement the above-mentioned embodiments, the fourth aspect of the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the above-mentioned method for optimizing and scheduling an integrated energy system taking into account the start-up and shutdown process of the unit.

[0182] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, 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 above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0183] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device executes the above-mentioned embodiment of a method for optimizing and scheduling an integrated energy system taking into account the start-stop process of a unit.

[0184] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0185] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0186] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0187] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0188] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0189] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0190] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0191] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0192] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An optimal scheduling method for an integrated energy system considering the start-up and shutdown process of units. It is characterized in that include: Constructing an optimal dispatching model for an integrated energy system, wherein the optimal dispatching model for an integrated energy system is composed of an objective function and constraints; wherein the objective function minimizes the total operating cost of the integrated energy system; and the constraints include constraints on the start-stop process of the unit; Solve the optimization scheduling model of the integrated energy system to obtain the optimal scheduling strategy for each device in the integrated energy system.

2. The method according to claim 1, It is characterized in that The objective function expression is as follows: Where t is the number of the scheduling period; Y is the set of all scheduling periods; is the active power value of the tie line of the integrated energy system in the dispatch period t; Δt is the time interval between adjacent dispatch periods; i is the number of any equipment in the integrated energy system; S D It is the collection of all equipment in the integrated energy system; S G is the set of all thermal power units in the integrated energy system, S W is the set of all new energy generating units in the integrated energy system, S CHP is the set of all CHP units in the integrated energy system, S GB is the set of all gas boilers in the integrated energy system, S AC is the set of all absorption units in the integrated energy system, S EB is the set of all electric boilers in the integrated energy system, S EC It is a collection of electric refrigeration machines in a comprehensive energy system; is the electricity purchase price during dispatch period t, c s,i is the startup cost of device i, is the operating cost of equipment i; is a 0-1 variable that represents the power-on action of device i in the scheduling period t. If device i changes from the shutdown state to the power-on state in the scheduling period t, then The value is 1, otherwise The value is 0; is a 0-1 variable representing the operating status of device i in the scheduling period t. If device i is in the power-on state in the scheduling period t, The value of is 1. If device i is in shutdown state during the scheduling period t, then The value of is 0; When i∈S G ∪S GB ∪S AC When c i is the operating cost coefficient of traditional thermal power units, gas boilers or absorption units; for traditional thermal power units, is the active power generated by traditional thermal power unit i in the dispatching period t; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t; for absorption units, is the thermal power generated by absorption unit i in the dispatch period t; When i∈S CHP When c E,i and c H,i are the power generation cost coefficient and heating cost coefficient of cogeneration unit i respectively; and are the active power and thermal power generated by cogeneration unit i in scheduling period t, respectively.

3. The method according to claim 2, It is characterized in that The constraints include: Equipment operating status constraints: In the formula, is a 0-1 variable that represents the shutdown action of device i in the scheduling period t. If device i changes from the on state to the off state in the scheduling period t, then The value is 1. In other cases The value is 0; Equipment operation constraints: In the formula, for thermal power units, P i,min and P i,max are the lower and upper limits of the active power generated by thermal power unit i; for gas boilers, P i,min and P i,max are the lower and upper limits of the thermal power generated by gas boiler i; for absorption units, P i,min and P i,max are the lower and upper limits of the thermal power generated by absorption unit i; for electric boilers, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric boiler i; for electric refrigerators, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric refrigerator i, respectively; For thermal power plants, is the active power generated by thermal power unit i in the dispatching period t-1; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t-1; for absorption units, is the thermal power generated by absorption unit i in the dispatching period t-1; for electric boilers, is the electric power consumed by electric boiler i in the scheduling period t-1; for electric refrigerators, is the electric power consumed by electric refrigerator i in the scheduling period t-1; R i,up and R i,down are the upward climbing rate and downward climbing rate of device i respectively; R i,su and R i,sd are the startup rate and shutdown rate of device i respectively; Operation constraints of new energy generator sets: Where P t i,pre is the predicted value of the active power generated by the new energy generator set i in the dispatching period t; Cogeneration unit operation constraints: In the formula, EP i is the set of feasible region endpoints of CHP unit i, P i,k and H i,k are the active power value and thermal power value of the kth endpoint of the feasible region of the cogeneration unit i, respectively; is the kth combination coefficient of CHP unit i in the dispatch period t; Battery operation constraints: In the formula, S ES It is the collection of all energy storage components in the integrated energy system; and are the charging power and discharging power of battery i in scheduling period t respectively; is the power of battery i in the scheduling period t; P c,i,max and P dc,i,max are the maximum charging power and the maximum discharging power of battery i respectively; E i,min and E i,max are the minimum and maximum values ​​of the battery i respectively; η c,i and η dc,i are the charging efficiency and discharging efficiency of battery i, respectively, and is the power of battery i in the scheduling period t-1; i is the self-consumption rate of battery i; are the power, charging power, and discharging power of battery i in the first scheduling period, respectively. is the amount of electricity stored in battery i at the initial time before scheduling; Cooling and heating load constraints: In the formula, is the heat capacity of heating load i or cooling load i; is the indoor temperature of heating load i or cooling load i in scheduling period t; is the indoor temperature of heating load i or cooling load i in the scheduling period t-1; U i is the thermal conductivity of heating load i or cooling load i; is the ambient temperature during the scheduling period t; τ i,min and τ i,max are the minimum and maximum indoor temperatures of heating load i or cooling load i, respectively; is the thermal power consumed by heat load i; S HL is the set of all heat loads in the integrated energy system, S CL It is the set of all cooling loads in the integrated energy system; Energy balance constraints: Where η EB,i is the heating coefficient of electric boiler i, COP i is the refrigeration coefficient of electric refrigerator i; P t L,i is the active power consumed by load i in dispatch period t, S L It is the collection of all electrical loads within the integrated energy system; State variable constraints of the unit start-stop process: in, are the time when unit i is in the starting process and the stopping process respectively; are 0-1 variables indicating whether device i is in the startup or shutdown process at time t; Operation constraints during unit start-up and shutdown: Wherein, M is a positive number, which is greater than the maximum value of all unit capacities; are the maximum ramp rates during the start and stop of device i, respectively; They are the minimum and maximum power limits during the startup of device i, respectively; They are the minimum and maximum power limits of device i during the shutdown process.

4. The method according to claim 3, It is characterized in that Also includes: The branch and bound method is used to solve the comprehensive energy system optimization scheduling model. That is, it is the optimal scheduling strategy for each device i in the integrated energy system during the scheduling period t.

5. An integrated energy system optimization scheduling device considering the start-up and shutdown process of the unit, It is characterized in that include: A model building module is used to build an optimal scheduling model for an integrated energy system, wherein the optimal scheduling model for an integrated energy system is composed of an objective function and constraints; wherein the objective function minimizes the total operating cost of the integrated energy system; and the constraints include constraints on the start-stop process of the unit; The scheduling optimization module is used to solve the optimization scheduling model of the integrated energy system and obtain the optimal scheduling strategy for each device in the integrated energy system.

6. The device according to claim 5, It is characterized in that The objective function expression is as follows: Where t is the number of the scheduling period; Y is the set of all scheduling periods; is the active power value of the tie line of the integrated energy system in the dispatch period t; Δt is the time interval between adjacent dispatch periods; i is the number of any equipment in the integrated energy system; S D It is the collection of all equipment in the integrated energy system; S G is the set of all thermal power units in the integrated energy system, S W is the set of all new energy generating units in the integrated energy system, S CHP is the set of all CHP units in the integrated energy system, S GB is the set of all gas boilers in the integrated energy system, S AC is the set of all absorption units in the integrated energy system, S EB is the set of all electric boilers in the integrated energy system, S EC It is a collection of electric refrigeration machines in a comprehensive energy system; is the electricity purchase price during dispatch period t, c s,i is the startup cost of device i, is the operating cost of equipment i; is a 0-1 variable that represents the power-on action of device i in the scheduling period t. If device i changes from the shutdown state to the power-on state in the scheduling period t, then The value is 1, otherwise The value is 0; is a 0-1 variable representing the operating status of device i in the scheduling period t. If device i is in the power-on state in the scheduling period t, The value of is 1. If device i is in shutdown state during the scheduling period t, then The value of is 0; When i∈S G ∪S GB ∪S AC When c i is the operating cost coefficient of traditional thermal power units, gas boilers or absorption units; for traditional thermal power units, is the active power generated by traditional thermal power unit i in the dispatching period t; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t; for absorption units, is the thermal power generated by absorption unit i in the dispatch period t; When i∈S CHP When c E,i and c H,i are the power generation cost coefficient and heating cost coefficient of cogeneration unit i respectively; and are the active power and thermal power generated by cogeneration unit i in scheduling period t, respectively.

7. The device according to claim 6, It is characterized in that The constraints include: Equipment operating status constraints: In the formula, is a 0-1 variable that represents the shutdown action of device i in the scheduling period t. If device i changes from the on state to the off state in the scheduling period t, then The value is 1. In other cases The value is 0; Equipment operation constraints: In the formula, for thermal power units, P i,min and P i,max are the lower and upper limits of the active power generated by thermal power unit i; for gas boilers, P i,min and P i,max are the lower and upper limits of the thermal power generated by gas boiler i; for absorption units, P i,min and P i,max are the lower and upper limits of the thermal power generated by absorption unit i; for electric boilers, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric boiler i; for electric refrigerators, P i,min and P i,max are the lower and upper limits of the electric power consumed by electric refrigerator i, respectively; For thermal power plants, is the active power generated by thermal power unit i in the dispatching period t-1; for gas boilers, is the thermal power generated by gas boiler i in the dispatching period t-1; for absorption units, is the thermal power generated by absorption unit i in the dispatching period t-1; for electric boilers, is the electric power consumed by electric boiler i in the scheduling period t-1; for electric refrigerators, is the electric power consumed by electric refrigerator i in the scheduling period t-1; R i,up and R i,down are the upward climbing rate and downward climbing rate of device i respectively; R i,su and R i,sd are the startup rate and shutdown rate of device i respectively; Operation constraints of new energy generator sets: Where P t i,pre is the predicted value of the active power generated by the new energy generator set i in the dispatching period t; Cogeneration unit operation constraints: In the formula, EP i is the set of feasible region endpoints of CHP unit i, P i,k and H i,k are the active power value and thermal power value of the kth endpoint of the feasible region of the cogeneration unit i, respectively; is the kth combination coefficient of CHP unit i in the dispatch period t; Battery operation constraints: In the formula, S ES It is the collection of all energy storage components in the integrated energy system; and are the charging power and discharging power of battery i in scheduling period t respectively; is the power of battery i in the scheduling period t; P c,i,max and P dc,i,max are the maximum charging power and the maximum discharging power of battery i respectively; E i,min and E i,max are the minimum and maximum values ​​of the battery i respectively; η c,i and η dc,i are the charging efficiency and discharging efficiency of battery i, respectively, and is the power of battery i in the scheduling period t-1; i is the self-consumption rate of battery i; are the power, charging power, and discharging power of battery i in the first scheduling period, respectively. is the amount of electricity stored in battery i at the initial time before scheduling; Cooling and heating load constraints: In the formula, is the heat capacity of heating load i or cooling load i; is the indoor temperature of heating load i or cooling load i in scheduling period t; is the indoor temperature of heating load i or cooling load i in the scheduling period t-1; U i is the thermal conductivity of heating load i or cooling load i; is the ambient temperature during the scheduling period t; τ i,min and τ i,max are the minimum and maximum indoor temperatures of heating load i or cooling load i, respectively; is the thermal power consumed by heat load i; S HL is the set of all heat loads in the integrated energy system, S CL It is the set of all cooling loads in the integrated energy system; Energy balance constraints: Where η EB,i is the heating coefficient of electric boiler i, COP i is the refrigeration coefficient of electric refrigerator i; P t L,i is the active power consumed by load i in dispatch period t, S L It is the collection of all electrical loads within the integrated energy system; State variable constraints of the unit start-stop process: in, are the time when unit i is in the starting process and the stopping process respectively; are 0-1 variables indicating whether device i is in the startup or shutdown process at time t; Operation constraints during unit start-up and shutdown: Wherein, M is a positive number, which is greater than the maximum value of all unit capacities; are the maximum ramp rates during the start and stop of device i, respectively; They are the minimum and maximum power limits during the startup of device i, respectively; They are the minimum and maximum power limits of device i during the shutdown process.

8. The device according to claim 7, It is characterized in that Also includes: The branch and bound method is used to solve the comprehensive energy system optimization scheduling model. That is, it is the optimal scheduling strategy for each device i in the integrated energy system during the scheduling period t.

9. An electronic device, It is characterized in that include: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are configured to execute the method according to any one of claims 1 to 4.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method according to any one of claims 1 to 4.

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