Comprehensive energy system multi-stage planning method, device and electronic equipment

Abstract

The present invention is applicable to the technical field of integrated energy systems, and provides a method, device and electronic device for multi-stage planning of integrated energy systems, the method comprising: obtaining a planning period of the integrated energy system; dividing the planning period into multiple planning periods; establishing an objective function with the minimum operating cost of the integrated energy system within the planning period as the goal and the number of each type of equipment in the integrated energy system in each planning period as the decision variable; wherein the integrated energy system includes multiple types of equipment, each type of equipment includes at least one type; establishing constraint conditions of the objective function, and solving the objective function according to the constraint conditions; and performing multi-stage planning of the integrated energy system based on the solution of the objective function. The present invention can reduce the overall operating cost of the integrated energy system.

Description

Technical Field

[0001] The present invention belongs to the technical field of integrated energy systems, and in particular relates to a multi-stage planning method, device and electronic equipment for an integrated energy system. Background Art

[0002] With the continuous development of the national economy, human demand for various energy sources continues to increase, and energy crises and environmental pollution problems emerge in an endless stream. Against this background, the integrated energy system came into being. The integrated energy system can efficiently utilize various energy sources and achieve energy coordination and complementarity. It is one of the most promising and commercially valuable operating models in today's energy Internet. Therefore, studying the optimal configuration and operation optimization strategy of the integrated energy system is of great significance to promoting the development of the energy Internet.

[0003] At present, the actual situation of the integrated energy system in the operation stage often fails to meet the goals set in the planning stage. In the early stage of operation, there will be idle equipment, and in the later stage of operation, there will be capacity shortages due to equipment wear, which increases the overall operating cost of the integrated energy system. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a method, device and electronic device for multi-stage planning of an integrated energy system to reduce the overall operating cost of the integrated energy system.

[0005] A first aspect of an embodiment of the present invention provides a multi-stage planning method for an integrated energy system, comprising:

[0006] Capture the planning cycle of integrated energy systems;

[0007] Divide the planning cycle into planning phases;

[0008] Taking the minimum operating cost of the integrated energy system within the planning period as the goal and the number of each type of equipment in the integrated energy system at each planning stage as the decision variable, an objective function is established; wherein the integrated energy system includes multiple types of equipment, and each type of equipment includes at least one model;

[0009] Establish constraints of the objective function and solve the objective function according to the constraints;

[0010] Multi-stage planning of the integrated energy system is carried out based on the solution of the objective function.

[0011] A second aspect of an embodiment of the present invention provides a multi-stage planning device for an integrated energy system, comprising:

[0012] An acquisition module for acquiring the planning cycle of the integrated energy system;

[0013] A first processing module is used to divide the planning cycle into multiple planning stages;

[0014] The second processing module is used to establish an objective function with the minimum operating cost of the integrated energy system within the planning period as the goal and the number of each type of equipment in the integrated energy system in each planning stage as the decision variable; wherein the integrated energy system includes multiple types of equipment, each type of equipment includes at least one type; and establish constraints of the objective function, and solve the objective function according to the constraints;

[0015] The third processing module is used to perform multi-stage planning of the integrated energy system based on the solution of the objective function.

[0016] A third aspect of an embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the multi-stage planning method for an integrated energy system as described above are implemented.

[0017] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned multi-stage planning method for an integrated energy system.

[0018] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0019] The embodiment of the present invention divides the planning cycle of the integrated energy system into multiple planning stages, then takes the minimum operating cost of the integrated energy system within the planning cycle as the goal, takes the number of each type of equipment in the integrated energy system in each planning stage as the decision variable to establish an objective function, and establishes constraint conditions for solving, and outputs the optimal configuration plan. The multi-stage planning method effectively solves the problem of idle equipment in the early stage of the integrated energy system and aging equipment in the later stage, and reduces the overall operating cost of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative labor.

[0021] Figure 1 is a schematic diagram of a comprehensive energy system provided by an embodiment of the present invention;

[0022] Figure 2 is a schematic diagram of multi-stage planning of an integrated energy system provided by an embodiment of the present invention;

[0023] Figure 3 is a schematic diagram of the integrated energy system equipment type provided by an embodiment of the present invention;

[0024] Figure 4 It is an overall architecture diagram of multi-stage planning of an integrated energy system provided by an embodiment of the present invention;

[0025] Figure 5 is a flow chart of a multi-stage planning method for an integrated energy system provided by an embodiment of the present invention;

[0026] Figure 6 is a comparison diagram of the optimization results of the integrated energy system provided by an embodiment of the present invention;

[0027] Figure 7 is a structural diagram of a multi-stage planning device for an integrated energy system provided by an embodiment of the present invention;

[0028] Figure 8 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0030] In order to illustrate the technical solution of the present invention, a specific embodiment is provided below for illustration.

[0031] The optimal configuration of the integrated energy system refers to the optimization calculation of the system's equipment selection, capacity configuration, operation strategy, etc. based on the actual regional resource situation and combined with the load forecast results of cooling, heating, electricity, gas, etc., so as to obtain the overall optimality of single or multiple goals such as system economy and energy efficiency. A typical integrated energy system architecture is as follows Figure 1As shown. However, the integrated energy system often encounters various problems in the process of planning equipment capacity configuration, which affects the planning results. In the process of continuous in-depth research, many scholars in the industry have proposed many optimization modeling methods for integrated energy systems. For example, the node flow balance and heat loss balance constraints are introduced to establish a multi-region integrated energy system collaborative planning model considering the operation of the heat network. The disadvantage of this method is that the selection of power equipment and the operation constraints of the power grid are not considered in the research process. Since the current terminal energy consumption environment is still dominated by electricity consumption, ignoring the above constraints will have an adverse effect on the economy of the scheme and the safety of system operation. In addition, many practical experiences in engineering have shown that the actual situation of some integrated energy systems in the operation stage often fails to meet the set goals in the planning stage. There will be idle equipment in the early stage of operation; in the later stage of operation, there will be equipment wear and tear, and it cannot be used normally, which is easy to cause capacity shortages and other problems, which limits the economy and energy supply level of the integrated energy system.

[0032] In order to solve the above problems, the present invention establishes an optimal configuration model for an integrated energy system that takes into account equipment selection and multi-stage planning. The model plans time based on the overall life cycle of the project, taking into account the influence of conditions such as changes in cold, heat and electricity loads and economic factors. At the same time, the model summarizes the constraints of various types of cold, heat and electricity equipment to form a mixed integer linear programming problem with perfect constraints. Based on the basic framework of multi-stage planning, considering the above constraints, a multi-stage planning model is constructed, a multi-stage planning flow chart is drawn, and the optimal configuration plan for each stage is output, resulting in a multi-stage planning optimization method for an integrated energy system based on equipment selection.

[0033] First, the optimization method of the present invention is described from the overall concept.

[0034] See also Figure 2 As shown, the planning stage sequence is recorded as L = [L1, L2, ...L i ...L N ], the configured equipment sequence corresponding to each planning stage is F set =[F set1 , F set2 , ... F seti ...F setN ], the corresponding optimized operation plan sequence for each year is P = [P1, P2, ...P i ...P N The general idea of ​​multi-stage planning is as follows: In the initial stage, the F setl 、F set2 、F seti-1 Based on the configuration of device F seti , to meet the maximum load demand in the planning stage, until the equipment configuration F of the last planning stage LN is completed setNFor further information, see Figure 3 As shown, considering that there are many types of equipment in the integrated energy system and each type of equipment has many models, it is more practical to consider equipment selection for system planning. Figure 4 As shown, an objective function based on multi-stage planning, as well as equipment selection constraints, equipment operation constraints, capital constraints, area constraints, etc. of the objective function are established to output the optimal equipment combination and capacity configuration to achieve reasonable planning of the integrated energy system.

[0035] For details, see Figure 5 As shown, the multi-stage planning method for an integrated energy system provided by an embodiment of the present invention includes the following steps:

[0036] Step S101, obtaining a planning period of an integrated energy system.

[0037] Optionally, before acquiring the integrated energy system planning cycle, also include:

[0038] The planning period of the integrated energy system is determined by the service life of the equipment with the shortest service life in the integrated energy system.

[0039] In the embodiment of the present invention, the planning period of the integrated energy system to be built is assumed to be n years, and n is taken as the service life of the equipment with the shortest life, so as to avoid the phenomenon of insufficient equipment life.

[0040] Step S102, dividing the planning cycle into multiple planning stages.

[0041] Optionally, divide the planning cycle into multiple planning phases, including:

[0042] Obtain the historical load data of the area where the integrated energy system is located, and predict the load growth rate of the area within the planning period based on the historical load data;

[0043] Based on the load growth rate, the planning cycle is divided into multiple planning stages.

[0044] In the embodiment of the present invention, the division of planning stages is based on user needs. When the load growth rate is small, the number of planning stages is appropriately reduced, that is, the duration of a single stage is increased; otherwise, the number of planning stages is appropriately increased, that is, the duration of a single stage is reduced. Before planning, the future load growth level of the region can be predicted based on the historical load data of the region and / or the construction progress of the future infrastructure of the region, and the planning stages can be divided according to the predicted load growth level.

[0045] Step S103, establishing an objective function with the minimum operating cost of the integrated energy system within the planning cycle as the goal and the number of each type of equipment in the integrated energy system in each planning stage as the decision variable; wherein the integrated energy system includes multiple types of equipment, and each type of equipment includes at least one model.

[0046] Optionally, the objective function is:

[0047] min C total =C I +C O +C M

[0048] In the formula, C tota1 is the operating cost of the integrated energy system during the planning period, C I is the investment cost of the integrated energy system, C O is the operating cost of the integrated energy system during the planning period, C M It is the maintenance cost of the integrated energy system during the planning period.

[0049] The investment cost of the integrated energy system can be obtained by deducting the residual value of the equipment from the purchase cost. The specific formula is C I =C B -C R , C B is the total cost of equipment purchase, C R The total residual value of the equipment.

[0050] The acquisition cost includes the cost of equipment expansion, equipment purchase and installation, and the construction of related supporting facilities. Assuming that the investment behavior in each planning stage occurs in the first year of the planning stage, the total equipment acquisition cost C B Calculated by the following formula:

[0051]

[0052] Where T is the total number of planning stages; r is the discount rate; k St is the number of years between the first year of the tth planning stage and the first year of the planning cycle; M is the number of equipment models; c I，j is the investment cost of the jth equipment; Q tj is the capacity or quantity of the jth device in the tth planning stage, if Q tj =0, it means that no investment will be made in the construction of equipment j in the planning stage t.

[0053] The investment phase and service life of the equipment are different, so after the planning period, some equipment in the integrated energy system has not reached its service life. The remaining service life of the equipment is quantified as the residual value, and the equipment is depreciated using the straight-line method and deducted from the life cycle cost of the integrated energy system. The total residual value of the equipment CR Calculated by the following formula:

[0054]

[0055] In the formula, k I，j is the construction year of the jth equipment; j is the net residual value rate of the jth equipment; N j is the service life of j devices.

[0056] The operating cost is mainly the cost of purchasing energy from outside. The operating cost of the integrated energy system during the planning period is C o Calculated by the following formula:

[0057]

[0058] In the formula, U is the total number of energy forms; is the purchase price of the u-th energy form in the k-th year at the t-th planning stage; It represents the purchased power value of the u-th energy form in the k-th year at the t-th planning stage; n is the total number of years in the planning cycle.

[0059] The maintenance cost of the integrated energy system mainly includes the repair and maintenance costs of various equipment. The maintenance cost C M Calculated by the following formula:

[0060]

[0061] In the formula, c M，j represents the variable maintenance cost per unit power of the jth device; It represents the output power value of the jth device in the kth year at the tth planning stage.

[0062] Optionally, the operating cost of the integrated energy system during the planning period may also include the replacement cost of consumable equipment (such as electricity storage, heat storage, gas storage equipment, etc.), calculated as follows:

[0063]

[0064] Where s is the operating life of the consumable equipment, g is the number of replacements required for the consumable equipment, y is the number of years the consumable equipment is converted to net present value, and r is the base discount rate.

[0065] Step S104, establishing constraint conditions of the objective function, and solving the objective function according to the constraint conditions.

[0066] Optionally, each type of equipment can be divided into discrete equipment and continuous equipment according to whether the installed capacity of each type of equipment is continuous. Accordingly, the constraint conditions for establishing the objective function include:

[0067] For discrete devices in the integrated energy system, in the planning stage, the input power and output power of the device satisfy a linear relationship. When multiple devices of the same model are running at the same time in the tth planning stage, it can be considered that the input power is evenly distributed among the devices.

[0068] Therefore, the discrete device constraints are established as follows:

[0069] Discrete device selection constraints:

[0070]

[0071] Discrete device input and output characteristic constraints:

[0072] y i，j，k (t) = a i，j x i，j，k (t)+b i，j δ i，j，k (t)

[0073] Discrete device output power limit constraints:

[0074]

[0075] Constraints on the number of discrete devices of a certain model in operation (the maximum number of devices of a certain model in operation in the kth year shall not exceed the sum of the number of devices installed in previous years):

[0076]

[0077] Where n i，j，k is the number of discrete devices of type i and model j installed in year k; γ i，j，k is 0 or 1, indicating whether the discrete device of the i-th category and j-th model is installed in the k-th year; N i，j，k is the minimum number of discrete devices of type j of category i in year k; is the maximum number of discrete devices of type i and model j installed in year k; a i，j 、b i，j are the linear term and constant term of the performance coefficient corresponding to the discrete device of the i-th type and j-th model respectively; x i，j，k (t), y i，j，k (t) are the input power and output power of the discrete equipment of the i-th category and j-th model at planning stage t in year k; x i，j , are the minimum input power and maximum input power of the discrete device of the i-th category and j-th model respectively; δ i，j，k(t) is the number of discrete devices of type i and model j in simultaneous operation at planning stage t in year k; L i，jis the design life of the j-th type of discrete equipment of the i-th category.

[0078] For continuous devices in the integrated energy system (such as energy storage devices), the following constraints are established:

[0079] Continuous equipment selection constraints:

[0080]

[0081] Continuous equipment operation capacity constraints:

[0082]

[0083] Continuous equipment energy storage power constraints:

[0084]

[0085] Continuous equipment discharge power constraints:

[0086]

[0087] Capacity balancing constraints:

[0088]

[0089] Constraints on initial energy storage efficiency of continuous equipment:

[0090] E i，j，k (0) = E i，j，k (T) = μ i，j ·z i，j，k

[0091] In the formula, S i，j，k is the number of installed units of the continuous equipment of the i-th category and the j-th model in the k-th year; S i，j，k , are the minimum and maximum installed capacity of the continuous equipment of the i-th category and j-th model in the k-th year; i，j，k is the operating capacity of the continuous equipment of the i-th category and j-th model in the k-th year; are the energy storage power and energy release power of the continuous equipment of the i-th category and j-th model respectively; ρ i，j , σ i，j are the maximum energy storage rate and maximum energy release rate of the continuous equipment of the i-th category and j-th model respectively; E i，j，k (t) is the energy stored by the continuous equipment of the i-th type and j-th type at the planning stage t; η i，j , i，j , τ i，j are the self-consumption rate, energy storage efficiency and energy release efficiency of the continuous equipment of the i-th type and j-th model, μ i，jIt is the initial energy storage efficiency of the continuous equipment of the i-th category and the j-th model, that is, the energy storage efficiency of the continuous equipment at the initial stage of operation.

[0092] Optionally, in addition to establishing the above discrete device constraints and continuous device constraints, you can also establish the following constraints based on actual needs:

[0093] The installation of an integrated energy system must take into account the amount of resources and the size of the installation site, so building area constraints can be established:

[0094]

[0095] In the formula, m i The land area occupied by the installation of the i-th equipment, AZ max is the land area used to build the integrated energy system, and n is the total number of equipment.

[0096] The construction of an integrated energy system cannot exceed the maximum investment capacity, so an investment capacity constraint can be established:

[0097] T max ≥f′ in (x)

[0098] In the formula, f in (x), T max They are the investment and maximum investment capacity of the integrated energy system, respectively.

[0099] The power consumption of the integrated energy system cannot exceed the power supply capacity of the power grid, so the power supply constraints of the power grid can be established:

[0100]

[0101]

[0102] Where D max The maximum power supply capacity of the power grid, is the power consumption of the ith device, is the power generation of the ith device, is the design electricity consumption of the comprehensive energy system, and S is the safety electricity consumption coefficient.

[0103] For the pipe network equipment in discrete equipment, pipe network selection constraints can also be established. Pipe network types include power lines and heat pipes. For heat pipes, due to their long life, difficulty in laying, and high cost of transformation, they are generally not considered for replacement after the first year of installation. Therefore, the γ of the heat pipes after the first year can be i，j，k The constraint is always equal to 0. For power lines, when the power line planning is required to meet the radial condition, there are also the following constraints:

[0104]

[0105] Where: N1 is the number of power lines, is the number of power nodes.

[0106] In addition, for the constraints of building area, each device also needs to consider the constraints of exclusive land area and the geographical location of the integrated energy system construction. For example: when installing solar photovoltaic panels on the roof of a building, the maximum value of the effective lighting area of ​​the roof of the building needs to be constrained. This will not be described in detail in the present invention.

[0107] Step S105, performing multi-stage planning for the integrated energy system based on the solution of the objective function.

[0108] In the embodiment of the present invention, the solution of the objective function is the number or capacity of each type of equipment in each planning stage, and the integrated energy system can be designed according to the number or capacity of each type of equipment.

[0109] It can be seen that the embodiment of the invention divides the planning cycle of the integrated energy system into multiple planning stages, and then establishes an objective function with the minimum operating cost of the integrated energy system within the planning cycle as the goal and the number of each type of equipment in the integrated energy system in each planning stage as the decision variable, and establishes constraints for solving, and outputs the optimal configuration plan. On the one hand, the multi-stage planning method effectively solves the problem of idle equipment in the early stage of the integrated energy system and aging equipment in the later stage. The capacity shortage reduces the overall operating cost of the integrated energy system. On the other hand, the planning scheme that takes equipment selection into consideration can calculate the number or capacity of each type of equipment in each planning stage, which is more practical.

[0110] The feasibility of this method is verified by simulation below.

[0111] Taking the integrated energy system to be built in a certain park as an example, the equipment to be installed in the system includes gas turbines (GT), waste heat boilers (RB), gas boilers (GB), fans (WT), electric refrigerators (EC) and lithium bromide endothermic refrigerators (AB). The number of alternative equipment types in the system is I = 6, and the entire project cycle is 25 years. Calculated in chronological order, the problem calculation is relatively cumbersome, because the meteorological conditions and load demands vary greatly in different seasons. This example uses three typical dates in each year, July to September in summer, December to March in winter, and the transition seasons are April to June and October to November. Take one day in each season as a typical representative day, and each typical day is represented by 6 average time periods. Considering the two special periods of summer and winter load peaks, there are a total of 20 time periods throughout the year, and the total number of calculation time periods in the project cycle is 500. The electricity price adopts the time-of-use electricity price: the peak electricity price (11:00-14:00) is 1.05 yuan / kWh, the normal electricity price (7:00-10:00, 15:00-20:00) is 0.65 yuan / kWh, the off-peak electricity price (1:00-6:00, 21:00-24:00) is 0.35 yuan / kWh, and the natural gas price is 3.25 yuan / m 3 .

[0112] Since there is thermal-electric coupling in the operation of gas turbines, in order to illustrate the influence of thermal-electric coupling and phased planning on system configuration, the following four scenarios are compared: gas turbine without heat abandonment, heat abandonment, configuration of heat storage device, and whether to optimize by phased planning. Table 1 shows the comparison of the four test scenarios.

[0113] Table 1 Comparison of four test scenarios

[0114]

[0115] From the table, we can see that since scenario I is a single-stage plan and does not belong to phased optimization, the process of solving it is relatively simple compared to other scenarios, and the calculation time is the shortest. In scenario II, heat abandonment is not allowed, and it is a multi-stage plan, so the calculation time is longer. The calculation efficiency of scenarios III and IV is improved compared to scenario II because heat abandonment is allowed and the constraints are relatively relaxed.

[0116] Figure 6 The configuration results of the system's entire life cycle under four scenarios are given. Figure 6In the figure, the light-colored mark indicates that the equipment of this type is installed at the beginning of the year, the dark-colored mark indicates that the equipment that has reached its service life is retired at the end of the year, and the weight number indicates the number of equipment installed or retired. In scenario I, in order to ensure that the system configuration scheme can meet the load growth, redundant configuration is adopted at the beginning of the project, and the equipment that has reached its service life is directly replaced in the subsequent operation. It can be seen that this scheme cannot comprehensively consider the equipment life and project cycle, resulting in the situation that the equipment is retired shortly after being put into operation. For example, in scenario I, we can observe that in the 25th year, which is the last year of the project cycle, a 4# electric refrigeration machine is installed and retired at the end of the year. The equipment cannot be fully utilized. In the other three scenarios, the relevant equipment is not all installed in the first year of the project cycle, but is reasonably installed and replaced according to factors such as the passage of time and load changes. For example, in these three scenarios, a 4# fan with a design life of 25 years is installed in the first year, and a 4# gas turbine with a design life of 20 years is installed in the sixth year. This layout scheme can make full use of the service life of various types of equipment. In addition, after various types of equipment are retired, they are generally replaced with new equipment in the next year to meet the system load requirements. Compared with single-stage planning, multi-stage planning that takes into account the entire project cycle can make plans more scientific and reasonable, thereby optimizing the overall planning scheme.

[0117] The system cost and energy consumption over the entire life cycle under the four scenarios are shown in Table 2.

[0118] Table 2 Cost and energy consumption under four scenarios

[0119]

[0120] Through example analysis, the multi-stage planning method for the integrated energy system provided by the embodiment of the present invention can effectively reduce the overall operating cost of the integrated energy system, output various types to meet the user's electricity, cooling, heating and other loads, and also improve the photovoltaic absorption capacity, and improve the energy absorption rate and penetration rate.

[0121] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0122] See also Figure 7 As shown, an embodiment of the present invention provides a multi-stage planning device for an integrated energy system, the device 70 comprising:

[0123] The acquisition module 71 is used to acquire the planning cycle of the integrated energy system.

[0124] The first processing module 72 is used to divide the planning period into a plurality of planning stages.

[0125] The second processing module 73 is used to establish an objective function with the minimum operating cost of the integrated energy system in the planning stage during the planning period as the target and the number of each type of equipment in the integrated energy system in each planning stage as the decision variable. The integrated energy system in the planning stage includes multiple types of equipment, and each type of equipment includes at least one type. And, establish the constraint conditions of the planning stage objective function, and solve the planning stage objective function according to the planning stage constraint conditions.

[0126] The third processing module 74 is used to perform multi-stage planning of the integrated energy system in the planning stage based on the solution of the objective function in the planning stage.

[0127] Optionally, the first processing module 72 is specifically used for:

[0128] Obtain historical load data of the area where the integrated energy system is located, and predict the load growth rate of the area within the planning period based on the historical load data;

[0129] Based on the load growth rate, the planning cycle is divided into multiple planning stages.

[0130] Optionally, the objective function established by the second processing module 73 is:

[0131] min C total =C I +C O +C M

[0132] In the formula, C total is the operating cost of the integrated energy system during the planning period, C I is the investment cost of the integrated energy system, C O is the operating cost of the integrated energy system during the planning period, C M It is the maintenance cost of the integrated energy system during the planning period.

[0133] Optionally, the second processing module 73 calculates the investment cost C of the integrated energy system by the following formula: I :

[0134]

[0135] Optionally, the second processing module 73 calculates the operating cost C of the integrated energy system during the planning period by the following formula: O :

[0136]

[0137] Optionally, the second processing module 73 calculates the maintenance cost C of the integrated energy system during the planning period by the following formula: M :

[0138]

[0139] In the above formula, C B Total cost of equipment purchase; C R is the total residual value of the equipment; T is the total number of planning stages; r is the discount rate; k St is the number of years between the first year of the tth planning stage and the first year of the planning cycle; M is the number of equipment models; c I，j is the investment cost of the jth equipment; Q tj is the capacity or quantity of the jth equipment at the tth planning stage; U is the total number of energy forms; is the purchase price of the u-th energy form in the k-th year at the t-th planning stage; represents the purchased power value of the u-th energy form in the k-th year at the t-th planning stage; n is the total number of years in the planning cycle; c M，j represents the variable maintenance cost per unit power of the jth device; It represents the output power value of the jth device in the kth year at the tth planning stage.

[0140] Optionally, each type of equipment is divided into discrete equipment and continuous equipment according to whether the installed capacity of each type of equipment is continuous. Accordingly, for discrete equipment in the integrated energy system, the second processing module 73 establishes discrete equipment constraints:

[0141]

[0142] y i，j，k (t) = a i，j x i，j，k (t)+b i，j δ i，j，k (t)

[0143]

[0144]

[0145] Where n i，j，k is the number of discrete devices of type i and model j installed in year k; γ i，j，k is 0 or 1, indicating whether the discrete device of the i-th category and j-th model is installed in the k-th year; N i，j，k is the minimum number of discrete devices of type j of category i in year k; is the maximum number of discrete devices of type i and model j installed in year k; a i，j 、b i，j are the linear term and constant term of the performance coefficient corresponding to the discrete device of the i-th type and j-th model respectively; x i，j，k(t), y i，j，k (t) are the input power and output power of the discrete equipment of the i-th category and j-th model at planning stage t in year k; x i，j , are the minimum input power and maximum input power of the discrete device of the i-th category and j-th model respectively; δ i，j，k(t) is the number of discrete devices of type i and model j in simultaneous operation at planning stage t in year k; L i，j is the design life of the discrete device of type j of category i;

[0146] For continuous equipment in the integrated energy system, the second processing module 73 establishes continuous equipment constraints:

[0147]

[0148]

[0149]

[0150]

[0151]

[0152] E i，j，k (0) = E i，j，k (T) = μ i，j 'z i，j，k

[0153] In the formula, s i，j，k is the number of installed units of the continuous equipment of the i-th category and the j-th model in the k-th year; S i，j，k , are the minimum and maximum installed capacity of the continuous equipment of the i-th category and j-th model in the k-th year; i，j，k is the operating capacity of the continuous equipment of the i-th category and j-th model in the k-th year; are the energy storage power and energy release power of the continuous equipment of the i-th category and j-th model respectively; ρ i，j , σ i，j are the maximum energy storage rate and maximum energy release rate of the continuous equipment of the i-th category and j-th model respectively; E i，j，k (t) is the energy stored by the continuous equipment of the i-th type and j-th type at the planning stage t; η i，j , i，j , τ i，j are the self-consumption rate, energy storage efficiency and energy release efficiency of the continuous equipment of the i-th type and j-th model, μ i，j is the initial energy storage efficiency of the continuous equipment of the i-th category and j-th model.

[0154] Optionally, the second processing module 73 is further used for:

[0155] To create a building area constraint:

[0156]

[0157] Establish investment capacity constraints:

[0158] T max ≥f in (x)

[0159] Establish grid supply constraints:

[0160]

[0161]

[0162] In the above formula, m i The land area occupied by the installation of the i-th equipment, AZ max is the land area used to build the integrated energy system, n is the total number of equipment; f in (x), T max are the investment and maximum investment capacity of the integrated energy system respectively; Dmax is the maximum power supply capacity of the power grid, is the power consumption of the ith device, is the power generation of the ith device, is the design electricity consumption of the comprehensive energy system, and S is the safety electricity consumption coefficient.

[0163] Optionally, the planning period of the integrated energy system is the service life of the equipment with the shortest service life in the integrated energy system.

[0164] Figure 8 FIG. 8 is a schematic diagram of an electronic device 80 provided in an embodiment of the present invention. Figure 8 As shown, the electronic device 80 of this embodiment includes: a processor 81, a memory 82, and a computer program 83 stored in the memory 82 and executable on the processor 81, such as a multi-stage planning program for an integrated energy system. When the processor 81 executes the computer program 83, the steps in the above-mentioned various embodiments of the multi-stage planning method for an integrated energy system are implemented, such as Figure 5 Alternatively, when the processor 81 executes the computer program 83, the functions of each module in the above-mentioned device embodiment are realized, for example Figure 7 The functions of the modules 71 to 74 are shown.

[0165] Exemplarily, the computer program 83 may be divided into one or more modules / units, one or more modules / units are stored in the memory 82, and are executed by the processor 81 to complete the present invention. One or more modules / units may be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program 83 in the electronic device 80. For example, the computer program 83 may be divided into an acquisition module 71, a first processing module 72, a second processing module 73, and a third processing module 74 (modules in the virtual device), and the specific functions of each module are as follows:

[0166] The acquisition module 71 is used to acquire the planning cycle of the integrated energy system.

[0167] The first processing module 72 is used to divide the planning period into a plurality of planning stages.

[0168] The second processing module 73 is used to establish an objective function with the minimum operating cost of the integrated energy system in the planning stage during the planning period as the target and the number of each type of equipment in the integrated energy system in each planning stage as the decision variable. The integrated energy system in the planning stage includes multiple types of equipment, and each type of equipment includes at least one type. And, establish the constraint conditions of the planning stage objective function, and solve the planning stage objective function according to the planning stage constraint conditions.

[0169] The third processing module 74 is used to perform multi-stage planning of the integrated energy system in the planning stage based on the solution of the objective function in the planning stage.

[0170] The electronic device 80 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 80 may include, but is not limited to, a processor 81 and a memory 82. Those skilled in the art will appreciate that Figure 8 It is only an example of the electronic device 80 and does not constitute a limitation of the electronic device 80. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device 80 may also include input and output devices, network access devices, buses, etc.

[0171] The processor 81 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0172] The memory 82 may be an internal storage unit of the electronic device 80, such as a hard disk or memory of the electronic device 80. The memory 82 may also be an external storage device of the electronic device 80, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 80. Further, the memory 82 may also include both an internal storage unit of the electronic device 80 and an external storage device. The memory 82 is used to store computer programs and other programs and data required by the electronic device 80. The memory 82 may also be used to temporarily store data that has been output or is to be output.

[0173] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0174] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0175] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0176] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0177] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0178] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0179] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0180] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A multi-stage planning method for an integrated energy system, characterized in that: include: Capture the planning cycle of integrated energy systems; dividing the planning cycle into a plurality of planning stages; Taking the minimum operating cost of the integrated energy system in the planning period as the goal and the number of each type of equipment in the integrated energy system in each planning stage as the decision variable, an objective function is established; wherein the integrated energy system includes multiple types of equipment, and each type of equipment includes at least one model; Establishing constraints of the objective function and solving the objective function according to the constraints; Performing multi-stage planning on the integrated energy system based on the solution of the objective function; In the objective function, the investment cost C of the integrated energy system I Calculated by the following formula: The operating cost of the integrated energy system during the planning period C O Calculated by the following formula: The maintenance cost C of the integrated energy system during the planning period M Calculated by the following formula: In the above formula, C B Total cost of equipment purchase; C R is the total residual value of the equipment; T is the total number of planning stages; r is the discount rate; k St is the number of years between the first year of the tth planning stage and the first year of the planning cycle; M is the number of equipment models; c I,j is the investment cost of the jth equipment; Q tj is the capacity or quantity of the jth equipment at the tth planning stage; U is the total number of energy forms; is the purchase price of the u-th energy form in the k-th year at the t-th planning stage; represents the purchased power value of the u-th energy form in the k-th year at the t-th planning stage; n is the total number of years in the planning period; represents the variable maintenance cost per unit power of the jth device; It represents the output power value of the jth device in the kth year at the tth planning stage.

2. The multi-stage planning method for an integrated energy system according to claim 1, characterized in that: The planning cycle is divided into several planning phases, including: Obtaining historical load data of the area where the integrated energy system is located, and predicting the load growth rate of the area within the planning period based on the historical load data; Based on the load growth rate, the planning period is divided into a plurality of planning stages.

3. The multi-stage planning method for an integrated energy system according to claim 1, characterized in that: The objective function is: In the formula, C total is the operating cost of the integrated energy system during the planning period, C I is the investment cost of the integrated energy system, C O is the operating cost of the integrated energy system during the planning period, C M It is the maintenance cost of the integrated energy system during the planning period.

4. The multi-stage planning method for an integrated energy system according to claim 1, characterized in that: According to whether the installation capacity of each type of equipment is continuous, each type of equipment is divided into discrete equipment and continuous equipment; accordingly, the constraint conditions for establishing the objective function include: For the discrete devices in the integrated energy system, discrete device constraints are established: In the formula, is the number of discrete devices of the i-th category and the j-th model installed in the k-th year; is 0 or 1, indicating whether the discrete device of the i-th category and j-th model is installed in the k-th year; is the minimum number of discrete devices of type j of category i in year k; is the maximum number of discrete devices of type i and model j installed in year k; a i,j , b i,j are the linear term and constant term of the performance coefficient corresponding to the discrete device of the i-th type and j-th model respectively; x i,j,k (t), y i,j,k (t) are the input power and output power of the discrete equipment of the i-th category and j-th model at planning stage t in year k; , are the minimum input power and maximum input power of the discrete device of the i-th category and j-th model respectively; is the number of discrete devices of type i and model j in simultaneous operation at planning stage t in year k; L i,j is the design life of the discrete device of the i-th category and j-th model; For the continuous equipment in the integrated energy system, the continuous equipment constraints are established: In the formula, is the number of installed units of the continuous equipment of the i-th category and the j-th model in the k-th year; , are the minimum and maximum installed capacity of the continuous equipment of the i-th category and j-th model in the k-th year; i,j,k is the operating capacity of the continuous equipment of the i-th category and j-th model in the k-th year; , are the energy storage power and energy release power of the continuous equipment of the i-th category and j-th model respectively; , are the maximum energy storage rate and maximum energy release rate of the continuous equipment of the i-th category and j-th model respectively; E i,j,k (t) is the energy stored in the continuous equipment of type j of category i at planning stage t; , , are the self-consumption rate, energy storage efficiency and energy release efficiency of the continuous equipment of the i-th category and j-th model, is the initial energy storage efficiency of the continuous equipment of the i-th category and j-th model.

5. The multi-stage planning method for an integrated energy system according to claim 4, characterized in that: The constraints for establishing the objective function also include: To create a building area constraint: Establish investment capacity constraints: Establish grid supply constraints: In the above formula, The land area occupied by the installation of the i-th equipment, is the land area used to build the integrated energy system, n is the total number of equipment; , They are the investment and maximum investment capacity of the integrated energy system; The maximum power supply capacity of the power grid. is the power consumption of the ith device, is the power generation of the ith device, is the design electricity consumption of the comprehensive energy system, and S is the safety electricity consumption coefficient.

6. The multi-stage planning method for an integrated energy system according to any one of claims 1 to 5, characterized in that: Before getting into the planning cycle of an integrated energy system, it also includes: The planning period of the integrated energy system is determined by the service life of the equipment with the shortest service life in the integrated energy system.

7. A multi-stage planning device for an integrated energy system, characterized in that: include: An acquisition module for acquiring the planning cycle of the integrated energy system; A first processing module, used for dividing the planning cycle into a plurality of planning stages; The second processing module is used to establish an objective function with the minimum operating cost of the integrated energy system in the planning period as the target and the number of each type of equipment in the integrated energy system in each planning stage as the decision variable; wherein the integrated energy system includes multiple types of equipment, each type of equipment includes at least one type; and establish constraints of the objective function, and solve the objective function according to the constraints; A third processing module, configured to perform multi-stage planning on the integrated energy system based on a solution of the objective function; In the objective function, the investment cost C of the integrated energy system I Calculated by the following formula: The operating cost of the integrated energy system during the planning period C O Calculated by the following formula: The maintenance cost C of the integrated energy system during the planning period M Calculated by the following formula: In the above formula, C B Total cost of equipment purchase; C R is the total residual value of the equipment; T is the total number of planning stages; r is the discount rate; k St is the number of years between the first year of the tth planning stage and the first year of the planning cycle; M is the number of equipment models; c I,j is the investment cost of the jth equipment; Q tj is the capacity or quantity of the jth equipment at the tth planning stage; U is the total number of energy forms; is the purchase price of the u-th energy form in the k-th year at the t-th planning stage; represents the purchased power value of the u-th energy form in the k-th year at the t-th planning stage; n is the total number of years in the planning period; represents the variable maintenance cost per unit power of the jth device; It represents the output power value of the jth device in the kth year at the tth planning stage.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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