A Carnot battery water cycle energy system and its planning method and device

Abstract

The present invention discloses a Carnot battery water cycle energy system and a planning method and device thereof. The method collects user demand data, equipment parameters and environmental parameters, constructs a system sample parameter set; establishes a mathematical model of the Carnot battery water cycle energy system according to the system sample parameter set, generates multiple scenario trees and performs scenario simplification, and solves to obtain the system optimal configuration parameter set. The present invention models the multi-energy coupling characteristics of the water cycle process of each device in the system planning process, fully reflects the hourly multi-energy coupling dynamic mechanism between the system supply-storage-demand multi-device, multi-pipeline, and multi-energy conversion, realizes the precise planning and design of the hourly dynamic temperature and flow of the Carnot battery water cycle energy system, and improves the stability of the system while reducing the system investment and operating costs.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy system planning, and in particular relates to a Carnot battery water cycle energy system and a planning method and device thereof. Background Art

[0002] In recent years, the installed capacity of renewable energy has increased rapidly, and the traditional energy system has evolved towards a high proportion of renewable energy systems. However, renewable energy has a high degree of intermittency and volatility, which has had a huge impact on the stability design, planning and use of energy systems. Lithium batteries and Carnot batteries are both energy storage technologies with certain economic and practical capabilities, and have received extensive attention in the planning and design of energy systems. The introduction of energy storage such as lithium batteries and Carnot batteries in energy systems can effectively promote the consumption of renewable energy and smooth out the fluctuations of renewable energy. Therefore, it is particularly important to rationally plan and design the Carnot battery water cycle energy system.

[0003] At present, the planning, design and implementation of the Carnot battery water cycle energy system are mainly based on the peak load, site conditions and other information of different demand scenarios, and a rough equipment selection plan and capacity configuration plan are formulated. There is a lack of detailed consideration of the energy system in the planning stage, which often leads to problems such as low actual operating load rate of equipment and unstable energy supply. At the same time, it faces a series of problems such as the randomness of the electric cooling and heating loads on the demand side, the stability and comfort of the cooling and heating temperatures of the energy system, and the multi-energy coupling between supply and demand. It is impossible to guarantee the economy and stability of the energy system planning and design. Summary of the invention

[0004] The present invention provides a Carnot battery water cycle energy system and a planning method and device thereof, which can effectively cope with the uncertainty of load demand by reasonably selecting equipment type and capacity through the coordinated configuration of supply-storage-demand of the energy system.

[0005] To achieve the above-mentioned purpose, a Carnot battery water cycle energy system planning method and device described in the present invention includes: a heat exchanger, an absorption chiller, and a photovoltaic power generation device connected to a power grid, a wind power generation device, a lithium battery, a Carnot battery unit, a chiller, and an electric boiler; the Carnot battery unit includes a heat pump, the water inlet of the heat pump is connected to the water outlet of a low-temperature heat storage tank, the water outlet of the heat pump is connected to the first water inlet of a high-temperature heat storage tank, the first water outlet of the high-temperature heat storage tank is connected to the water inlet of a thermal power unit, and the water outlet of the thermal power unit is connected to the water inlet of the low-temperature heat storage tank; the primary side water inlet of the heat exchanger is connected to the second water outlet of the high-temperature heat storage tank, the primary side water outlet of the heat exchanger is connected to the second water inlet of the high-temperature heat storage tank, the secondary side water outlet of the heat exchanger is connected to the primary side water inlet of the absorption chiller and a hot water supply pipeline, and the secondary side water return port of the heat exchanger is connected to the primary side water outlet of the absorption chiller and a hot water return pipeline;

[0006] The secondary side water outlet of the absorption chiller is connected to the cold water supply pipeline, and the secondary side water inlet is connected to the cold water return pipeline;

[0007] The water outlet of the chiller is connected to the cold water supply pipeline, and the water inlet is connected to the cold water return pipeline;

[0008] The water outlet of the electric boiler is connected to the inlet of the hot water supply pipeline, and the water inlet is connected to the outlet of the hot water return pipeline.

[0009] A Carnot battery water cycle energy system planning method comprises the following steps:

[0010] S100, collecting user demand data, equipment parameters and environmental parameters to construct a system sample parameter set, wherein the user demand data includes user electricity demand, cooling demand, heating demand and domestic hot water demand data;

[0011] S200, based on the system sample parameter set, establish and solve the Carnot battery water cycle energy system planning model to obtain the optimal planning configuration parameter set Ω of the Carnot battery water cycle energy system, specifically including the following steps:

[0012] S201, determine the objective function, constraint conditions and investment recovery coefficient of the Carnot battery water cycle energy system, and establish a mathematical model of the Carnot battery water cycle energy system. The mathematical model of the Carnot battery water cycle energy system includes the system objective function and constraint conditions. The objective function minimizes the sum of system planning and operation costs;

[0013] S202, generating multiple scenario trees according to the demand data and performing scenario simplification, and solving to obtain multiple sets of system configuration candidate sets, wherein the system configuration candidate sets include a photovoltaic power generation installed capacity candidate set, a wind power generation rated power candidate set, a lithium battery energy storage capacity candidate set, a Carnot battery unit module rated power candidate set, an electric boiler rated power candidate set, an absorption chiller rated power candidate set, a chiller rated power candidate set, and temperature and flow candidate sets of key nodes of various equipment and water circulation pipelines;

[0014] S203, determining the optimal planning configuration parameter set Ω that minimizes the annualized investment, maintenance and operation costs of the system among multiple sets of system configuration alternatives according to the economic indicators;

[0015] S300, outputting the optimal configuration parameter set for the Carnot battery water cycle energy system planning obtained in S200.

[0016] Furthermore, in S201, the constraints include photovoltaic power generation equipment constraints, wind power generation equipment constraints, lithium battery equipment constraints, Carnot battery unit module constraints, absorption chiller water circulation sub-loop constraints, chiller water circulation sub-loop constraints and system constraints.

[0017] Furthermore, in S201, the constraints of each module of the Carnot battery unit include:

[0018] 1) Heat pump module constraints:

[0019]

[0020] In the formula, is the charging power of the Carnot battery in the kth period under the sth scenario, τ is the planning optimization time interval, η HP is the heating efficiency of the heat pump; c W is the specific heat capacity of water, represents the energy charging and discharging state of the water circulation pipeline of the hot water tank in the kth period under the sth scenario; m LT,HT is the water flow from the low-temperature heat storage tank to the high-temperature heat storage tank, is the heat pump outlet water temperature in the kth period under the sth scenario, is the water storage temperature of the low-temperature heat storage tank in the kth period under the sth scenario; is the rated power of the heat pump module in the Carnot battery unit;

[0021] 2) High temperature heat storage tank module constraints:

[0022]

[0023]

[0024]

[0025] In the formula, is the water storage capacity of the high temperature heat storage tank in the k+1th period under the sth scenario, is the water storage capacity of the high temperature heat storage tank in the kth period under the sth scenario, m HT,LT It is the water flow from the high temperature heat storage tank to the low temperature heat storage tank; It represents the energy release state of the water circulation pipeline of the hot water tank in the kth period under the sth scenario; is the water storage temperature of the high temperature heat storage tank in the k+1th period under the sth scenario; is the water storage temperature of the high temperature heat storage tank in the kth period under the sth scenario; and are the heat transferred from the high temperature heat storage tank to the cold water circulation loop and the hot water circulation loop of the heat exchanger, respectively, and U HT is the heat loss coefficient per unit area of ​​the high-temperature heat storage tank, A HT is the surface area of ​​the high temperature heat storage tank, T ENV is the ambient temperature;

[0026] 3) Low temperature heat storage tank module constraints:

[0027]

[0028]

[0029]

[0030] In the formula, is the water storage capacity of the low-temperature heat storage tank in the k+1th period under the sth scenario, is the water storage capacity of the low-temperature heat storage tank in the kth period under the sth scenario, U LT is the heat loss coefficient per unit area of ​​the low-temperature heat storage tank, A LT is the surface area of ​​the low-temperature heat storage tank;

[0031] 4) Thermal power unit module constraints:

[0032]

[0033] In the formula, is the Carnot battery discharge power in the kth period under the sth scenario, η HE is the power generation efficiency of the thermal power unit, is the rated power of the thermoelectric generator module in the Carnot battery unit;

[0034] 5) Electric boiler water circulation sub-loop constraints:

[0035]

[0036] In the formula, is the operating power of the electric boiler in the kth period under the sth scenario, η EB is the heating efficiency of the electric boiler; is the switch state of the electric boiler water circulation pipeline in the kth period under the sth scenario, m EB is the flow rate of the water circulation pipeline of the electric boiler, is the outlet water temperature of the electric boiler in the kth period under the sth scenario, is the return water temperature of the electric boiler in the kth period under the sth scenario; is the rated power of the electric boiler module in the Carnot battery unit.

[0037] Furthermore, in S201, the water circulation sub-loop of the absorption chiller is constrained as follows:

[0038]

[0039] Where η EX is the working efficiency of the heat exchanger, η AC is the refrigeration efficiency of the absorption chiller; is the switch state of the absorption chiller water circulation pipeline in the kth period under the sth scenario, m AC is the flow rate of the water circulation pipeline of the absorption chiller, is the chiller return water temperature in the kth period under the sth scenario, is the outlet water temperature of the absorption chiller in the kth period under the sth scenario, is the rated power of the absorption chiller;

[0040] The water circulation sub-loop constraints of the chiller are:

[0041]

[0042] In the formula, is the chiller operating power in the kth period under the sth scenario; is the cooling efficiency of the chiller in the kth period under the sth scenario; c W is the specific heat capacity of water, is the switch state of the water circulation pipeline of the chiller in the kth period under the sth scenario, m EC is the flow rate of the water circulation pipeline of the chiller, is the chiller outlet water temperature in the kth period under the sth scenario.

[0043] The system constraints are:

[0044]

[0045]

[0046]

[0047]

[0048]

[0049] In the formula, and is the state of buying and selling electricity of the power grid in the kth period under the sth scenario, and is the amount of electricity bought and sold by the power grid in the kth period under the sth scenario, and The upper limit of electricity purchase and sale for the power grid, is the photovoltaic power generation power in the kth period under the sth scenario, is the wind power generation in the kth period under the sth scenario, is the lithium battery discharge power in the kth period under the sth scenario, is the lithium battery charging power in the kth period under the sth scenario, d k,sis the terminal load in the kth period under the sth scenario, q k,s is the terminal cooling load in the kth period under the sth scenario, g k,s is the terminal heat load in the kth period under the sth scenario.

[0050] Furthermore, in S202, the steps of generating multiple scenario trees and performing scenario simplification are as follows:

[0051] Step 1, based on the collected data of user electricity demand, cooling demand, heating demand and domestic hot water demand, generate S scenarios according to the standard deviation X;

[0052] Step 2, calculate the Euclidean distance of random variables between all scenarios;

[0053] Step 3: Delete any one of the pair of scenarios with the smallest Euclidean distance, and add the probability of the deleted scenario to the scenario with the smallest Euclidean distance, while changing the probability of the deleted scenario to zero;

[0054] Step 4. Repeat the third step Y-1 times, where Y = (0.8-0.99)*S, and finally obtain a scenario tree containing SY scenarios.

[0055] Furthermore, in Step 1, the degrees of freedom of the random variable in each scenario is 3, and the user electricity demand, heat demand, cooling demand and domestic hot water demand data all follow a normal distribution, and the standard deviation X is 3%-20% of the mean of the normal distribution.

[0056] A Kanot battery water cycle energy system planning device comprises an initialization module, a solution module and an analysis module; the initialization module is used to support the Kanot battery water cycle energy system planning device to execute the above-mentioned planning methods S100 and S201; the solution module is used to support the Kanot battery water cycle energy system planning device to execute the above-mentioned planning method S202; the analysis module is used to support the Kanot battery water cycle energy system planning device to execute the above-mentioned planning methods S203 and S300.

[0057] A Kanot battery water cycle energy system planning device comprises a data processing unit, a data storage unit and a data transmission unit; the data processing unit is used to support the Kanot battery water cycle energy system planning device to execute S100 and S200 of the above-mentioned planning method; the data storage unit is used to store the program code and related data of the Kanot battery water cycle energy system planning device; the data transmission unit is used to execute S300 of the above-mentioned planning method and the user's input and output data operations.

[0058] A Kanot battery water cycle energy system planning device comprises a processor, a memory and a bus, wherein the processor is connected to the memory via the bus; the memory is used to store computer execution instructions; when the Kanot battery water cycle energy system planning device is running, the processor executes the computer execution instructions stored in the memory to execute S100, S200 and S300 of the above-mentioned planning method.

[0059] Compared with the prior art, the present invention has at least the following beneficial technical effects:

[0060] The multi-energy coupling Carnot battery water cycle energy system proposed in the present invention generates green electricity for the system and load through photovoltaic power generation and wind power generation, and stores the excess electricity through lithium batteries and Carnot battery units. At the same time, the Carnot battery units exchange heat through heat exchangers for absorption chillers and direct heating at the end. The chiller and electric boiler serve as auxiliary equipment for system cooling and heating, respectively, to ensure that the system's cooling, heating and domestic hot water needs are met. The proposed system organically combines photovoltaic power generation, wind power generation, lithium batteries, Carnot battery units, absorption chillers, chillers, electric boilers and other equipment, reasonably and dynamically adjusts the proportion of lithium batteries and Carnot battery units storing renewable energy power generation, and at the same time, through the coordination and cooperation of lithium batteries, Carnot battery units and various energy conversion equipment, it smoothes the fluctuation of renewable energy and promotes the consumption of renewable energy.

[0061] The Carnot battery water cycle energy system planning method described in the present invention fully considers the temperature, flow and other dynamic information of photovoltaic power generation equipment, wind power generation equipment, lithium batteries, Carnot battery units, absorption chillers, electric boilers, chillers and other equipment and their water circulation pipelines, establishes a system planning model, and simultaneously considers the multi-energy coupling relationship of electricity, cold and heat in the planning and design of the energy system, analyzes the characteristics of the multi-energy coupling mechanism, and realizes the accurate characterization and design regulation of the temperature and flow of the Carnot battery water cycle energy system. On this basis, the optimal configuration parameter set of the system can be obtained by solving the system planning model, and the equipment type and capacity are reasonably selected through the coordinated configuration of supply-storage-demand of the energy system, so as to improve the overall efficiency, stability and economy of the planned Carnot battery water cycle energy system.

[0062] Furthermore, the Kanot battery water cycle energy system planning method described in the present invention generates the possible electricity, cooling and heat demand of the terminal load through the collected user electricity, cooling and heat load demand data, forms a scenario tree, and simplifies the scenarios according to the similarity of each scenario, and finally forms a scenario that can reflect the typical electricity, cooling and heat demand that may occur in the terminal load. The proposed method fully considers the electricity, cooling and heat demand scenarios that the terminal load may encounter, and solves the mathematical model on this basis, which can effectively deal with the impact of the uncertainty of electricity, cooling and heat demand on the reasonable planning of the Kanot battery water cycle energy system.

[0063] Furthermore, the present invention not only considers the switching status and operating power of the main equipment in the planning and design of the Carnot battery water cycle energy system, but also plans and models the working mechanism of each device in the system and the multi-energy coupling characteristics of the water cycle process in the form of temperature and flow as decision quantities. It physically reflects the operation of each device and key nodes of the pipeline and the working mechanism of supplying and returning water to the terminal, and reflects the hourly multi-energy coupling dynamic mechanism between the system's supply-storage-demand multi-device, multi-pipeline, and multi-energy conversion.

[0064] Furthermore, the system planning model established by the present invention deeply characterizes and analyzes the multi-energy coupling characteristics of the system, effectively coordinates the stable operation of multiple sub-circulation loops of the Carnot battery water circulation energy system, and realizes the precise planning and design of the hourly dynamic temperature and flow of the Carnot battery water circulation energy system, thereby improving the system stability while reducing the system planning and operation costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and should not be regarded as limiting the scope.

[0066] In the attached picture:

[0067] Figure 1 A schematic diagram of a Carnot battery water cycle energy system provided by a preferred embodiment of the present invention;

[0068] Figure 2 A flow chart of a Carnot battery water cycle energy system planning method provided for a preferred embodiment of the present invention;

[0069] Figure 3 A first possible structural diagram of a Carnot battery water cycle energy system planning device provided by a preferred embodiment of the present invention;

[0070] Figure 4 A second possible structural diagram of a Carnot battery water cycle energy system planning device provided by a preferred embodiment of the present invention;

[0071] Figure 5 A third possible structural diagram of a Carnot battery water cycle energy system planning device provided for a preferred embodiment of the present invention;

[0072] Attached Figure 1 In the figure, the thin solid line represents electricity, the thick solid line represents heat, and the thick dashed line represents cooling. DETAILED DESCRIPTION

[0073] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention generally described in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0074] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0075] like Figure 1 FIG. 1 is a schematic diagram of a Carnot battery water cycle energy system provided by a preferred embodiment of the present invention. The Carnot battery water cycle energy system includes: photovoltaic power generation equipment, wind power generation equipment, lithium batteries, Carnot battery units, heat exchangers, absorption chillers, electric boilers, chillers and water circulation pipeline loops.

[0076] In this embodiment, the photovoltaic power generation equipment and the wind power generation equipment are used to generate green electricity for use by the system and terminal electrical loads.

[0077] Lithium batteries are used to store excess electricity generated by photovoltaic power generation and wind power generation, and discharge it during peak power load periods for use by terminal power loads.

[0078] The Carnot battery unit includes a heat pump, a thermal power unit, a high-temperature heat storage tank and a low-temperature heat storage tank, which are used to generate heat by consuming electricity generated by photovoltaic power generation and wind power generation through the heat pump, and store the heat in the high-temperature heat storage tank. The heat is released during the peak load period to drive the thermal power unit to generate electricity for the terminal electrical load, and the remaining heat enters the low-temperature heat storage tank for the next cycle. The water inlet of the heat pump is connected to the water outlet of the low-temperature heat storage tank, the water outlet of the heat pump is connected to the first water inlet of the high-temperature heat storage tank, the water inlet of the thermal power unit is connected to the first water outlet of the high-temperature heat storage tank, and the water outlet of the thermal power unit is connected to the water inlet of the low-temperature heat storage tank.

[0079] The heat exchanger is used for heat exchange between the high-temperature heat storage tank and the water circulation loop pipeline. The primary water inlet of the heat exchanger is connected to the second water outlet of the high-temperature heat storage tank, and the primary water outlet of the heat exchanger is connected to the second water inlet of the high-temperature heat storage tank. The switch state of the pipeline between the primary water outlet of the heat exchanger and the second water inlet of the high-temperature heat storage tank is controlled by valve T1. The secondary water outlet of the heat exchanger is connected to the cooling pipeline loop and the heating pipeline loop through the three-way valve T2. In the cooling pipeline loop, the secondary water outlet of the heat exchanger is connected to the water inlet of the absorption chiller, and the secondary water return port of the heat exchanger is connected to the water outlet of the absorption chiller. In the heating pipeline loop, the secondary water outlet of the heat exchanger is connected to the system hot water circulation water supply pipeline, and the secondary water return port of the heat exchanger is directly connected to the system hot water circulation return pipeline.

[0080] The absorption chiller is used to consume heat energy to generate coldness, and the valve T3 controls the on / off state of the connecting pipe with the cold water circuit. The chiller is used to consume electric energy to generate coldness, and the valve T4 controls the on / off state of the connecting pipe with the cold water circuit. The two together meet the cold load demand of the terminal. The electric boiler is used to consume electric energy to generate heat, and together with the heating pipe loop of the heat exchanger, it meets the heat load demand of the terminal.

[0081] The water circulation pipeline loop uses water as the energy medium carrier to transfer the cold / heat energy generated by the energy system to the end use. The key pipeline nodes of the system cold water circulation loop and hot water circulation loop are the connection points between each device and the pipeline, the confluence points of each branch pipeline, and the end load energy exchange point.

[0082] See also Figure 2 , is a flow chart of a Carnot battery water cycle energy system planning method provided by a preferred embodiment of the present invention. Figure 2 The specific process shown is described in detail.

[0083] A Carnot battery water cycle energy system planning method comprises the following steps:

[0084] S100, collecting user demand data, equipment parameters and environmental parameters to construct a system sample parameter set.

[0085] User demand data includes user electricity demand, cooling demand, heating demand and domestic hot water demand;

[0086] Equipment parameters include unit investment cost, operation and maintenance cost, replacement cost, equipment life and performance parameters of each equipment in the system, and the equipment includes photovoltaic power generation equipment, wind power generation equipment, lithium batteries, heat exchangers, absorption chillers, electric boilers, chillers, heat pumps, thermal power units, high-temperature heat storage tanks and low-temperature heat storage tanks;

[0087] Environmental parameters include energy prices and the area available for photovoltaic panels;

[0088] S200, based on the user demand data, equipment parameters and environmental parameters collected in S100, establish and solve the Carnot battery water cycle energy system planning model to obtain the optimal planning configuration parameter set Ω of the Carnot battery water cycle energy system, specifically including the following steps:

[0089] S201, determine the system objective function, constraints and investment recovery coefficient, and establish a mathematical model of the Carnot battery water cycle energy system. The objective function is to minimize the system planning plus operating costs, which can be expressed as:

[0090] minobj=CAPEX+OPEX

[0091] CAPEX = C PV +C WT +C EES +C CB +C EB +C AC +C EC

[0092]

[0093] In the formula, CAPEX is the total investment cost of the Carnot battery water cycle energy system, and OPEX is the total operating cost of the Carnot battery water cycle energy system; C PV is the investment cost of photovoltaic power generation, C WT is the investment cost of wind power generation, C EES is the investment cost of lithium battery, C CB is the investment cost of the Carnot battery unit, C EB is the investment cost of the electric boiler, C AC is the investment cost of the absorption chiller, C EC is the investment cost of the chiller; S is the total number of scenarios, subscript s is the sth scenario, π s is the probability of the sth scenario; subscript k is the kth period, and are the buying and selling electricity in the kth period under the sth scenario, and are the buying and selling electricity prices in the kth period respectively, and τ is the planning optimization time interval.

[0094]

[0095] In the formula, CRF is the investment recovery factor, i is the interest rate, and L is the life cycle of the equipment.

[0096] C PV =c PV ·n PV CRFPV

[0097]

[0098]

[0099]

[0100]

[0101]

[0102]

[0103] In the formula, c PV is the unit investment cost of photovoltaic power generation, n PV is the installed capacity of photovoltaic panels, CRF PV is the investment return coefficient of photovoltaic power generation; c WT is the unit investment cost of wind power generation, is the rated power of wind power generation, CRF WT is the investment return coefficient of wind power generation; c EES is the unit investment cost of lithium battery, is the rated capacity of the lithium battery, CRF EES is the investment return coefficient of lithium battery; c HP is the unit investment cost of the heat pump module in the Carnot battery unit, is the rated power of the heat pump module in the Carnot battery unit, CRF HP is the return on investment coefficient of the heat pump module in the Carnot battery unit, c T is the unit investment cost of the high temperature heat storage module and the low temperature heat storage module in the Carnot battery unit, is the rated capacity of the high temperature heat storage module in the Carnot battery unit, CRF is the rated capacity of the low temperature heat storage module in the Carnot battery unit. T is the return on investment coefficient of the thermal storage module in the Carnot battery unit, c HE is the unit investment cost of the thermal power module in the Carnot battery unit, is the rated power of the thermal power module in the Carnot battery unit, CRF HE is the investment return coefficient of the thermal power module in the Carnot battery unit; c EB is the unit investment cost of the electric boiler module in the Carnot battery unit, is the rated power of the electric boiler module in the Carnot battery unit, CRF EB is the return on investment coefficient of the electric boiler module in the Carnot battery unit; c ACis the unit investment cost of the absorption chiller module in the Carnot battery unit, is the rated power of the absorption chiller module in the Carnot battery unit, CRF AC is the return on investment coefficient of the absorption chiller module in the Carnot battery unit; c EC is the unit investment cost of the chiller module in the Carnot battery unit, is the rated power of the chiller module in the Carnot battery unit, CRF EC is the return on investment factor of the chiller module in the Carnot battery unit.

[0104] The relevant constraints of the mathematical model of the Carnot battery water cycle energy system are as follows:

[0105] 1) Constraints on photovoltaic power generation equipment:

[0106]

[0107] n PV ≤n Area ;

[0108] In the formula, is the photovoltaic power generation power in the kth period under the sth scenario, k PV is the overall efficiency of photovoltaic power generation, n PV is the laying area of ​​photovoltaic panels, r k,s is the solar radiation intensity, n Area The area available for laying photovoltaic panels.

[0109] 2) Wind power equipment constraints:

[0110]

[0111] In the formula, is the wind power generation power in the kth period under the sth scenario, v k,s is the wind speed in the kth period under the sth scenario, v ci is the wind turbine cut-in wind speed, v co is the fan cut-out wind speed, v r is the rated wind speed.

[0112] 3)Lithium battery equipment restrictions:

[0113]

[0114]

[0115] In the formula, is the lithium battery energy storage capacity in the kth period under the sth scenario, is the lithium battery energy storage capacity in the kth period under the sth scenario, σ EES,lis the loss coefficient of lithium battery, η EES,c is the charging rate of the lithium battery, is the lithium battery charging power in the kth period under the sth scenario, η EES,d is the discharge rate of the lithium battery, is the lithium battery discharge power in the kth period under the sth scenario; SOC EES,min is the minimum SOC coefficient of lithium battery, SOC EES,max is the maximum SOC coefficient of the lithium battery, is the rated capacity of the lithium battery.

[0116] 4) Constraints of each module of the Carnot battery unit:

[0117] 4.1) Heat Pump Module Constraints

[0118]

[0119]

[0120] In the formula, is the charging power of the Carnot battery in the kth period under the sth scenario, η HP is the heating efficiency of the heat pump; c W is the specific heat capacity of water, Indicates that the water circulation pipeline of the hot water tank in the kth period in the sth scenario is in the charging state, otherwise it is 0; m LT,HT is the water flow from the low-temperature heat storage tank to the high-temperature heat storage tank, is the heat pump outlet water temperature in the kth period under the sth scenario, is the water storage temperature of the low-temperature heat storage tank in the kth period under the sth scenario. This constraint accurately describes the inlet and outlet water temperatures and flow rates of the water circulation pipeline of the heat pump module. Reflect the on / off status of the Carnot battery charging pipeline, and fully consider the impact of the on / off status of the heat pump water circulation pipeline on the operation of the planned system at the planning level.

[0121] 4.2) High temperature heat storage tank module constraints

[0122]

[0123]

[0124]

[0125] In the formula, is the water storage capacity of the high temperature heat storage tank in the k+1th period under the sth scenario, is the water storage capacity of the high temperature heat storage tank in the kth period under the sth scenario, m HT,LTIt is the water flow from the high temperature heat storage tank to the low temperature heat storage tank; is the water storage temperature of the high temperature heat storage tank in the k+1th period under the sth scenario; is the water storage temperature of the high temperature heat storage tank in the kth period under the sth scenario; and are the heat transferred from the high temperature heat storage tank to the cold water circulation loop and the hot water circulation loop of the heat exchanger, respectively, and U HT is the heat loss coefficient per unit area of ​​the high-temperature heat storage tank, A HT is the surface area of ​​the high temperature heat storage tank, T ENV This constraint accurately represents the thermal dynamic process, heat loss process, inlet and outlet water temperature and flow rate of the water circulation pipeline of the high-temperature heat storage tank, explains the operation mechanism of the high-temperature heat storage tank, and accurately describes the multi-energy coupling characteristics of the planned Carnot battery water circulation energy system.

[0126] 4.3) Low temperature heat storage tank module constraints

[0127]

[0128]

[0129]

[0130] In the formula, is the water storage capacity of the low-temperature heat storage tank in the k+1th period under the sth scenario, is the water storage capacity of the low-temperature heat storage tank in the kth period under the sth scenario, U LT is the heat loss coefficient per unit area of ​​the low-temperature heat storage tank, A LT is the surface area of ​​the low-temperature heat storage tank. This constraint accurately represents the thermal dynamic process, heat loss process, inlet and outlet water temperature and flow rate of the low-temperature heat storage tank water circulation pipeline, explains the operation mechanism of the low-temperature heat storage tank, and accurately describes the multi-energy coupling characteristics of the Carnot battery water circulation energy system.

[0131] 4.4) Thermal power unit module constraints

[0132]

[0133]

[0134] In the formula, is the Carnot battery discharge power in the kth period under the sth scenario, η HE is the power generation efficiency of the thermal power unit. This constraint accurately describes the inlet and outlet water temperature and flow rate of the water circulation pipeline of the thermal power unit module. Reflect the switch status of the Carnot battery charging pipeline, and fully consider the impact of the switch status of the water circulation pipeline of the thermal power unit module on the planned system operation at the planning level.

[0135] 4.5) Electric boiler water circulation sub-loop constraints:

[0136]

[0137]

[0138] In the formula, is the operating power of the electric boiler in the kth period under the sth scenario, η EB is the heating efficiency of the electric boiler; is the switch state of the electric boiler water circulation pipeline in the kth period under the sth scenario, m EB is the flow rate of the water circulation pipeline of the electric boiler, is the outlet water temperature of the electric boiler in the kth period under the sth scenario, is the return water temperature of the electric boiler in the kth period under the sth scenario. This constraint accurately describes the inlet and outlet water temperatures and flow rates of the electric boiler water circulation pipeline. Reflect the on / off status of the electric boiler water circulation pipeline, and fully consider the impact of the on / off status of the electric boiler water circulation pipeline on the planned system operation at the planning level.

[0139] 5) Constraints on the water circulation sub-loop of the absorption chiller:

[0140]

[0141]

[0142] Where η EX is the working efficiency of the heat exchanger, η AC is the refrigeration efficiency of the absorption chiller; is the switch state of the absorption chiller water circulation pipeline in the kth period under the sth scenario, m AC is the flow rate of the water circulation pipeline of the absorption chiller, is the chiller return water temperature in the kth period under the sth scenario, is the outlet water temperature of the absorption chiller in the kth period under the sth scenario, is the rated power of the absorption chiller. This constraint accurately describes the inlet and outlet water temperature and flow rate of the absorption chiller water circulation pipeline. Reflects the on / off status of the absorption chiller water circulation pipeline, and fully considers the impact of the on / off status of the absorption chiller water circulation pipeline on the planned system operation at the planning level.

[0143] 6) Constraints on the water circulation sub-loop of the chiller:

[0144]

[0145]

[0146] In the formula, is the chiller operating power in the kth period under the sth scenario; is the cooling efficiency of the chiller in the kth period under the sth scenario; c W is the specific heat capacity of water, is the switch state of the water circulation pipeline of the chiller in the kth period under the sth scenario, m EC is the flow rate of the water circulation pipeline of the chiller, is the chiller return water temperature in the kth period under the sth scenario, is the chiller outlet water temperature in the kth period under the sth scenario, is the operating power of the chiller. This constraint accurately describes the inlet and outlet water temperature and flow rate of the chiller water circulation pipeline. Reflect the on / off status of the chiller’s water circulation pipeline, and fully consider the impact of the on / off status of the chiller’s water circulation pipeline on the planned system operation at the planning level.

[0147] 7) System constraints:

[0148]

[0149]

[0150]

[0151]

[0152]

[0153] In the formula, and is the state of buying and selling electricity of the power grid in the kth period under the sth scenario, and is the amount of electricity bought and sold by the power grid in the kth period under the sth scenario, and is the upper limit of electricity purchase and sale to the power grid, d k,s is the terminal load in the kth period under the sth scenario, q k,s is the terminal cooling load in the kth period under the sth scenario, g k,sis the terminal heat load of the kth period under the sth scenario. This constraint accurately describes the inlet and outlet water temperature and flow rate of the system's cooling and hot water circulation pipelines, reflects the operating mechanism characteristics of the system's energy supply, and fully considers the impact of the system's energy supply water circulation pipeline temperature, flow rate and other conditions on the planned system operation at the planning level.

[0154] S202. Generate multiple scenario trees based on the collected data of user electricity demand, cooling demand, heating demand and domestic hot water demand, and simplify the scenarios to obtain multiple sets of system configuration alternative sets. The system configuration alternative sets include photovoltaic power generation installed capacity alternative set, wind power generation rated power alternative set, lithium battery energy storage capacity alternative set, Carnot battery unit rated power alternative set, electric boiler rated power alternative set, absorption chiller rated power alternative set, chiller rated power alternative set, and temperature and flow alternative set of key nodes of each device and water circulation pipeline.

[0155] The key nodes include the connection points between each energy supply equipment and pipeline, the connection points of the charging and discharging pipelines of the energy storage equipment, the confluence points of each branch pipeline and the terminal load energy exchange point.

[0156] The steps to generate multiple scenario trees and perform scenario simplification are as follows:

[0157] The first step is to generate a demand data set. The collected user demand data value is taken as the mean, and the standard deviation X is 3%-20% of the mean. S user electricity demand, heat demand, cooling demand and hot water demand data sets that follow the normal distribution are generated. Based on the demand data set, a scenario tree for electricity, cooling, heating and domestic hot water demand is formed. The degree of freedom of the random variable of each scenario in the demand scenario tree is 3;

[0158] The second step is to calculate the Euclidean distance of random variables between all scenarios;

[0159] Step 3: Delete any one of the pair of scenarios with the smallest Euclidean distance, add the probability of the deleted scenario to the scenario with the smallest Euclidean distance, and change the probability of the deleted scenario to zero;

[0160] Step 4: Repeat step 3 Y-1 times, where Y = (0.8-0.99)*S, and finally obtain a scenario tree containing SY scenarios.

[0161] S203, determining the optimal planning configuration parameter set Ω that minimizes the annualized investment, maintenance and operation costs of the system from among multiple sets of system configuration alternatives based on economic indicators. The optimal configuration parameter set includes the optimal installed capacity of photovoltaic power generation, the optimal rated power of wind power generation, the optimal energy storage capacity of lithium batteries, the optimal rated power of each module of Carnot battery unit, the optimal rated power of electric boilers, the optimal rated power of absorption chillers, the optimal rated power of chillers, and the optimal temperature and flow set of key nodes of various equipment and water circulation pipelines.

[0162] S300, outputting the optimal configuration parameter set for the Carnot battery water cycle energy system planning obtained in S200.

[0163] See also Figure 3 , which is a first possible structural diagram of the Kanot battery water cycle energy system planning device provided by the preferred embodiment of the present invention, including: an initialization module 110, a solution module 120 and an analysis module 130. The initialization module 110 is used to support the Kanot battery water cycle energy system planning device to execute S100 and S201; the solution module 120 is used to support the Kanot battery water cycle energy system planning device to execute S202; the analysis module 130 is used to support the Kanot battery water cycle energy system planning device to execute S203 and S300; wherein, all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, and will not be repeated here.

[0164] See also Figure 4 , in the case of using integrated units, Figure 4 The second possible structural diagram of the Kanot battery water cycle energy system planning device in the best embodiment is shown, including: a data processing unit 140, a data storage unit 150 and a data transmission unit 160. The data processing unit 140 is used to control and manage the actions of the Kanot battery water cycle energy system planning device. For example, the data processing unit 140 is used to support the Kanot battery water cycle energy system planning device to execute S100, S201, S202, and S203 in the above method; the data storage unit 150 is used to store the program code and related data of the Kanot battery water cycle energy system planning device; the data transmission unit 160 is used to execute S300 in the above method and the user's input and output data operations.

[0165] The data processing unit 140 may be, but is not limited to, a processor or a controller, such as a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. The data processing unit 140 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0166] The data transmission unit 160 may be, but is not limited to, a mouse and a keyboard.

[0167] When the data processing unit 140 is a processor and the data storage unit 150 is a memory, the Carnot battery water cycle energy system planning device involved in the best embodiment of the present invention can be the following Carnot battery water cycle energy system planning device.

[0168] Please refer to Figure 5 , is a possible structural diagram of a Kanot battery water cycle energy system planning device in another optimal embodiment of the present invention, including: a processor 170, a memory 180 and a bus 190; the memory 180 is used to store computer execution instructions; the processor 170 and the memory 180 are connected via the bus 190. When the Kanot battery water cycle energy system planning device is running, the processor 170 executes the computer execution instructions stored in the memory 180, and executes S100, S201, S202, S203 and S300 of the Kanot battery water cycle energy system planning method as described above. The bus 190 can be a peripheral component interconnection standard bus or an extended industrial standard structure bus, etc.; the bus 190 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0169] The data storage unit 150 and the memory 180 may be, but are not limited to, a random access memory, a read-only memory, a programmable read-only memory, an erasable read-only memory, an electrically erasable read-only memory, and the like.

[0170] Since the Carnot battery water cycle energy system planning device provided by the best embodiment of the present invention can be used to execute the above-mentioned Carnot battery water cycle energy system planning method, the technical effects that can be obtained can refer to the above-mentioned method embodiment, and the embodiments of the present invention will not be repeated here.

[0171] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more servers that can be integrated with the medium. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk), etc.

[0172] Although the present invention has been described in conjunction with specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present invention. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present invention as defined by the appended claims and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present invention. Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, the present invention is intended to include such modifications and variations if they fall within the scope of the claims of the present invention and their equivalents.

[0173] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

Claims

1. A Carnot battery water cycle energy system planning method, characterized in that: The following steps are involved: S100, collecting user demand data, equipment parameters and environmental parameters to construct a system sample parameter set, wherein the user demand data includes user electricity demand, cooling demand, heating demand and domestic hot water demand data; S200, based on the system sample parameter set, establish and solve the Carnot battery water cycle energy system planning model to obtain the optimal planning configuration parameter set Ω of the Carnot battery water cycle energy system, specifically including the following steps: S201, determine the objective function, constraint conditions and investment recovery coefficient of the Carnot battery water cycle energy system, and establish a mathematical model of the Carnot battery water cycle energy system. The mathematical model of the Carnot battery water cycle energy system includes the system objective function and constraint conditions. The objective function minimizes the sum of system planning and operation costs; S202, generating multiple scenario trees according to the demand data and performing scenario simplification, and solving to obtain multiple sets of system configuration candidate sets, wherein the system configuration candidate sets include a photovoltaic power generation installed capacity candidate set, a wind power generation rated power candidate set, a lithium battery energy storage capacity candidate set, a Carnot battery unit module rated power candidate set, an electric boiler rated power candidate set, an absorption chiller rated power candidate set, a chiller rated power candidate set, and temperature and flow candidate sets of key nodes of various equipment and water circulation pipelines; S203, determining the optimal planning configuration parameter set Ω that minimizes the annualized investment, maintenance and operation costs of the system among multiple sets of system configuration alternatives according to the economic indicators; S300, outputting the optimal configuration parameter set of the Carnot battery water cycle energy system planning obtained in S200; The Carnot battery water cycle energy system includes: a heat exchanger, an absorption chiller, and a photovoltaic power generation device connected to the power grid, a wind power generation device, a lithium battery, a Carnot battery unit, a chiller, and an electric boiler; The Carnot battery unit includes a heat pump, the water inlet of the heat pump is connected to the water outlet of the low-temperature heat storage tank, the water outlet of the heat pump is connected to the first water inlet of the high-temperature heat storage tank, the first water outlet of the high-temperature heat storage tank is connected to the water inlet of the thermal power unit, and the water outlet of the thermal power unit is connected to the water inlet of the low-temperature heat storage tank; The primary water inlet of the heat exchanger is connected to the second water outlet of the high-temperature heat storage tank, the primary water outlet of the heat exchanger is connected to the second water inlet of the high-temperature heat storage tank, the secondary water outlet of the heat exchanger is connected to the primary water inlet of the absorption chiller and the hot water supply pipeline, and the secondary water return port of the heat exchanger is connected to the primary water outlet of the absorption chiller and the hot water return pipeline; The secondary side water outlet of the absorption chiller is connected to the cold water supply pipeline, and the secondary side water inlet is connected to the cold water return pipeline; The water outlet of the chiller is connected to the cold water supply pipeline, and the water inlet is connected to the cold water return pipeline; The water outlet of the electric boiler is connected to the inlet of the hot water supply pipe, and the water inlet is connected to the outlet of the hot water return pipe; In S201, the constraints include photovoltaic power generation equipment constraints, wind power generation equipment constraints, lithium battery equipment constraints, Carnot battery unit module constraints, absorption chiller water circulation sub-loop constraints, chiller water circulation sub-loop constraints and system constraints; The constraints of each module of the Carnot battery unit include: 1) Heat pump module constraints: ； ； In the formula, For the s In this scenario k The charging power of the Kanot battery in each period, Optimize time intervals for planning, is the heating efficiency of the heat pump; is the specific heat capacity of water, Indicates the sth scenario k The charging and discharging status of the water circulation pipeline of the hot water tank in each period; is the water flow from the low-temperature heat storage tank to the high-temperature heat storage tank, is the first k The heat pump outlet water temperature for each period, is the first k The water temperature of the low-temperature heat storage tank in each period; is the rated power of the heat pump module in the Carnot battery unit; 2) High temperature heat storage tank module constraints: ； ； ； In the formula, For the s In this scenario k+1 The water storage capacity of the high temperature heat storage tank in each period, For the s In this scenario k The water storage capacity of the high temperature heat storage tank in each period, It is the water flow from the high temperature heat storage tank to the low temperature heat storage tank; Indicates the sth scenario k Energy release status of water circulation pipeline of hot water tank in each period; is the first k+1 The water temperature of the high temperature heat storage tank in each period; is the first k The water temperature of the high temperature heat storage tank in each period; and The heat transferred from the high-temperature heat storage tank to the cold water circulation loop and the hot water circulation loop of the heat exchanger, respectively. is the heat loss coefficient per unit area of ​​the high-temperature heat storage tank, is the surface area of ​​the high temperature heat storage tank, is the ambient temperature; 3) Low temperature heat storage tank module constraints: ； ； ； In the formula, For the s In this scenario k+1 The water storage capacity of the low-temperature heat storage tank in each period, For the s In this scenario k The water storage capacity of the low-temperature heat storage tank in each period, is the heat loss coefficient per unit area of ​​the low-temperature heat storage tank, is the surface area of ​​the low-temperature heat storage tank; 4) Thermal power unit module constraints: ； ； In the formula, For the s In this scenario k The discharge power of the Carnot battery in a period of time, is the power generation efficiency of the thermal power unit, is the rated power of the thermoelectric generator module in the Carnot battery unit; 5) Electric boiler water circulation sub-loop constraints: ； ； In the formula, For the s In this scenario k The operating power of the electric boiler in each period, is the heating efficiency of the electric boiler; is the first k The switch status of the water circulation pipeline of the electric boiler in each period, is the flow rate of the water circulation pipeline of the electric boiler, is the first k The outlet water temperature of the electric boiler in each period, is the first k Electric boiler return water temperature in each period; is the rated power of the electric boiler module in the Carnot battery unit; In S201, the water circulation sub-loop of the absorption chiller is constrained as follows: ； In the formula, For the working efficiency of the heat exchanger, is the refrigeration efficiency of the absorption chiller; is the first k The switch status of the absorption chiller water circulation pipeline in each period, is the flow rate of the water circulation pipeline of the absorption chiller, is the first k The return water temperature of the chiller in each period, is the first k The outlet water temperature of the absorption chiller in each period, is the rated power of the absorption chiller; The water circulation sub-loop constraints of the chiller are: ； ； In the formula, For the s In this scenario k The operating power of the chiller in each period; is the first k The cooling efficiency of the chiller in each period; is the specific heat capacity of water, is the first k The switch status of the water circulation pipeline of the chiller in each period, is the flow rate of the water circulation pipeline of the chiller, is the first k The chiller outlet water temperature in each period; The system constraints are: ； ； ； ； ； In the formula, and is the first k The buying and selling status of the power grid in each period, and is the first k The power grid buys and sells electricity in each period. and The upper limit of electricity purchase and sale for the power grid, For the s In this scenario k The photovoltaic power generation power in each period, For the s In this scenario k The wind power generation capacity in each period, For the s In this scenario k The lithium battery discharge power in each period, For the s In this scenario k The charging power of lithium battery in each period, is the first k The terminal load of each period, is the first k The terminal cooling load of each period, is the first k The terminal heat load of each period.

2. A Carnot battery water cycle energy system planning method according to claim 1, characterized in that: In S202, the steps of generating multiple scenario trees and performing scenario simplification are as follows: Step 1: According to the collected data on user electricity demand, cooling demand, heating demand and domestic hot water demand, the standard deviation X generate S a scenario; Step 2, calculate the Euclidean distance of random variables between all scenarios; Step 3: Delete any one of the pair of scenarios with the smallest Euclidean distance, and add the probability of the deleted scenario to the scenario with the smallest Euclidean distance, while changing the probability of the deleted scenario to zero; Step 4. Repeat the third step Y-1 times, where Y=(0.8~0.99)*S, and finally obtain a scenario tree containing SY scenarios.

3. A Carnot battery water cycle energy system planning method according to claim 2, characterized in that: In Step 1, the degrees of freedom of the random variables in each scenario are 3, and the data of user electricity demand, heating demand, cooling demand and domestic hot water demand all follow a normal distribution with a standard deviation of X Take 3%-20% of the mean of the normal distribution.

4. A Carnot battery water cycle energy system planning device, characterized in that: It comprises an initialization module (110), a solution module (120) and an analysis module (130); the initialization module (110) is used to support the Kanot battery water cycle energy system planning device to execute the planning methods S100 and S201 described in claim 2; the solution module (120) is used to support the Kanot battery water cycle energy system planning device to execute the planning method S202 described in claim 1; the analysis module (130) is used to support the Kanot battery water cycle energy system planning device to execute the planning methods S203 and S300 described in claim 2.

5. A Carnot battery water cycle energy system planning device, characterized in that: The invention comprises a data processing unit (140), a data storage unit (150) and a data transmission unit (160); the data processing unit (140) is used to support the Kanot battery water cycle energy system planning device to execute S100 and S200 of the planning method described in claim 1; the data storage unit (150) is used to store the program code and related data of the Kanot battery water cycle energy system planning device; the data transmission unit (160) is used to execute S300 of the planning method described in claim 2 and the user's input and output data operations.

6. A Carnot battery water cycle energy system planning device, characterized in that: The device comprises a processor (170), a memory (180) and a bus (190), wherein the processor (170) and the memory (180) are connected via the bus (190); the memory (180) is used to store computer-executable instructions; when the Carnot battery water cycle energy system planning device is running, the processor (170) executes the computer-executable instructions stored in the memory (180) to execute S100, S200 and S300 of the planning method according to claim 1.

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