Energy dispatching management method, device and system for integrated energy system

Abstract

The present invention discloses an energy dispatching management method, device and system for an integrated energy system. The energy dispatching management device includes a data receiving unit, a scheme calculation unit and an execution management unit. The energy dispatching management system includes an energy dispatching management module, a user side and a supply side. Under the condition of fully considering the multi-energy coupling supply and the integrated demand response, the optimal energy dispatching management scheme of the integrated energy system is calculated and executed through a preset profit model, and the energy dispatching management method, device and system improve the overall economic efficiency of multi-energy dispatching management.

Description

Technical Field

[0001] The present invention relates to the field of energy dispatching management of an integrated energy system, and to an energy dispatching management method, device and system of an integrated energy system. Background Art

[0002] Traditional demand response strategies are only for electricity loads, and mainly include price-based and incentive-based. Price-based demand response uses the main grid's time-of-use electricity price to stimulate users to actively change their electricity usage habits and adjust the user's electricity load curve. Incentive-based demand response is that users meet system needs by reducing their own electricity consumption or shifting electricity consumption time periods, thereby obtaining corresponding compensation. With the continuous deepening of research on integrated energy systems, the traditional single energy response method can no longer meet the application of integrated energy systems under the new situation.

[0003] In the existing technology, the research on the participation of integrated energy systems in demand response mainly focuses on the flexible scheduling value of a single load, and the demand response strategy adopted is mainly price-based.

[0004] However, the existing technology still has the following defects: the existing comprehensive demand response model only considers the user's interest needs as constraints, or directly binds the park microgrid integrated energy system and the user's interests, and does not consider the interest interaction relationship and iterative interaction process between the park and the user; only considers a single electric load or heat / electricity coupling, and rarely considers the comprehensive coupling of electricity, natural gas, and thermal energy to participate in demand response and planning reserves.

[0005] Therefore, there is a need for an energy dispatching management method, device and system for an integrated energy system to solve the above-mentioned problems existing in the prior art. Summary of the invention

[0006] In view of the above-mentioned existing technical problems, the purpose of the present invention is to provide an energy scheduling management method, device and system for an integrated energy system, so as to improve the overall economic efficiency of multi-energy scheduling management.

[0007] The present invention provides an energy dispatching and management method for an integrated energy system, the energy dispatching and management method comprising: receiving a multi-energy load optimization demand data group sent by a user side; calculating an optimal energy dispatching and management plan according to a preset multi-energy time-of-use price, the multi-energy load optimization demand data group, a preset profit model and a preset multi-energy coupling constraint condition group; the multi-energy coupling constraint condition group comprises an electric power balance constraint condition group and a thermal power balance constraint condition group; and dispatching and managing multiple energy sources separately according to the optimal energy dispatching and management plan.

[0008] In one embodiment, before receiving the multi-energy load optimization demand data group sent by the user side, the energy scheduling management method also includes: setting the multi-energy time-of-use price and sending the multi-energy time-of-use price to the user side according to the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side and the demand response scheduling instruction.

[0009] In one embodiment, after setting a multi-energy time-of-use price and sending the multi-energy time-of-use price to the user side based on the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side and the demand response scheduling instructions, the energy scheduling management method also includes: receiving the multi-energy time-of-use price and the multi-energy load adjustment instructions sent by the user; calculating and obtaining the multi-energy load optimization demand data group based on a preset user cost model, a preset multi-energy load model group, the multi-energy time-of-use price and the multi-energy load adjustment instructions sent by the user.

[0010] The present invention also provides an energy scheduling and management device for an integrated energy system, the energy management device comprising a data receiving unit, a scheme calculation unit and an execution management unit, wherein the data receiving unit is used to receive a multi-energy load optimization demand data group sent by a user side; the scheme calculation unit is used to calculate an optimal energy scheduling and management scheme based on a preset multi-energy time-of-use price, the multi-energy load optimization demand data group, a preset profit model and a preset multi-energy coupling constraint condition group; the multi-energy coupling constraint condition group includes an electric power balance constraint condition group and a thermal power balance constraint condition group; the execution management unit is used to schedule and manage multiple energy sources separately according to the optimal energy scheduling and management scheme.

[0011] In one embodiment, the energy scheduling and management device also includes an energy pricing unit, which is used to set a multi-energy time-of-use price and send the multi-energy time-of-use price to the user side based on the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side, and the demand response scheduling instructions.

[0012] In one embodiment, the energy scheduling and management device also includes a demand adjustment unit, which is used to: receive the multi-energy time-of-use price and the multi-energy load adjustment instruction sent by the user; calculate and obtain the multi-energy load optimization demand data group based on a preset user cost model, a preset multi-energy load model group, the multi-energy time-of-use price and the multi-energy load adjustment instruction sent by the user.

[0013] The present invention also provides an energy dispatching and management system for an integrated energy system, the energy dispatching and management system comprising an energy dispatching and management module, a user side and a supply side, the user side, the energy dispatching and management module and the supply side being communicatively connected in sequence, wherein the user side is used to receive a multi-energy load plan demand data group sent by a user, and send the multi-energy load plan demand data group to the energy dispatching and management module; receive a multi-energy time-sharing price sent by the energy dispatching and management module, and send the multi-energy time-sharing price to the user; and receive a multi-energy load adjustment instruction sent by the user according to the multi-energy time-sharing price, and send the multi-energy load adjustment instruction to the energy dispatching and management module; the energy dispatching and management module is used to execute the energy dispatching and management method for the integrated energy system as described above according to the multi-energy load plan demand data group, the multi-energy load adjustment instruction, the multi-energy price data group sent by the supply side and the demand response dispatch instruction, so as to respectively dispatch and manage multiple energy sources according to the optimal energy dispatching and management scheme; the supply side is used to send a multi-energy price data group and a demand response dispatch instruction to the energy dispatching and management module; and, according to the optimal energy dispatching and management scheme, supply energy to the energy dispatching and management module accordingly.

[0014] In one embodiment, the energy scheduling management module further includes a multi-energy storage device and a multi-energy generation device, and the multi-energy storage device is mechanically connected to the multi-energy generation device.

[0015] In one embodiment, the multi-energy generation device includes a combination of one or more of a micro-gas turbine, a power-to-gas device, a heat pump, a thermal storage electric boiler, and a solar collector.

[0016] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0017] The present invention provides an energy scheduling management method, device and system for an integrated energy system. Under full consideration of multi-energy coupling supply, the optimal energy scheduling management plan for multi-energy coupling of an energy scheduling management module is calculated through a preset profit model and the plan is executed. The energy scheduling management method, device and system improve the overall economic efficiency of multi-energy scheduling management.

[0018] Furthermore, the energy dispatching management method, device and system of an integrated energy system provided by the present invention also sets a multi-energy time-of-use price according to the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side and the demand response dispatching instructions, and calculates the multi-energy load optimization demand data group according to the user cost model, the preset multi-energy load model group, the multi-energy time-of-use price and the multi-energy load adjustment instructions sent by the user, so as to fully guide the user to adjust the load by setting the time-of-use electricity price, thereby enhancing the interactivity of the energy dispatching management of the integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings, wherein:

[0020] Figure 1 A flowchart showing an embodiment of an energy dispatching management method for an integrated energy system according to the present invention is shown;

[0021] Figure 2 A flowchart showing another embodiment of an energy dispatching management method for an integrated energy system according to the present invention;

[0022] Figure 3 A structural diagram showing an embodiment of an energy dispatching management device for an integrated energy system according to the present invention;

[0023] Figure 4 A structural diagram of an embodiment of an energy dispatching and management system for an integrated energy system according to the present invention is shown. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Specific embodiment 1

[0026] The embodiment of the present invention firstly describes an energy dispatching management method for an integrated energy system. Figure 1 FIG. 1 is a flow chart showing an embodiment of an energy dispatching management method for an integrated energy system according to the present invention. Figure 1 As shown, the method comprises the following steps:

[0027] S1: Receive the multi-energy load optimization demand data group sent by the user side.

[0028] The multi-energy load optimization demand data group includes electric energy demand, thermal energy demand and natural gas demand.

[0029] S2: Calculate and obtain the optimal energy scheduling management plan based on the preset multi-energy time-of-use price, the multi-energy load optimization demand data group, the preset profit model and the preset multi-energy coupling constraint condition group.

[0030] Due to the presence of energy equipment such as cogeneration equipment, thermal storage electric boilers, power-to-gas equipment, micro-turbines, and heat pumps in the park, the park can sell energy to users at a relatively low price relative to the main grid through energy conversion and other means, and fully utilize the park's energy through the mutual coupling conversion of surplus energy. When the operator cannot meet the user's electricity / heat / gas load demand, it must purchase energy from the main grid at a high price to meet the load. Based on this energy supply idea, the preset benefit model can be used to calculate the solution that gives the highest energy supply benefit under the constraints of the multi-energy coupling constraint group, that is, the optimal energy scheduling management solution.

[0031] In one embodiment, the preset revenue model is specifically:

[0032] maxBr M =max(I M -C M )

[0033] In the formula, I M To manage revenue, C M To manage costs.

[0034] Since electricity, heat and natural gas can be supplied to users directly from the main grid, cogeneration equipment, energy storage and energy conversion equipment, and time-of-use energy prices can be set for users, while meeting the system's demand response to achieve the purpose of earning profits, management income I M It can be specifically divided into energy sales income, demand response income, and management income. M The specific expression is:

[0035] I M =I SELL +I DR

[0036] In the formula, I SELL The revenue from energy sales is the revenue from selling electricity, gas and heat directly to users. DR Demand response revenue, that is, the revenue obtained from responding to system demand.

[0037] The management cost mainly comes from the cost of purchasing electricity directly from the main grid, the cost of purchasing heat from the main grid through power storage, and the cost of purchasing gas from the external gas grid by the cogeneration equipment, which can be expressed as the following formula:

[0038] C M =C P +C H +C G

[0039] In the formula, C P is the operator’s electricity purchase cost, C H is the operator’s heat purchase cost, C G The gas purchase cost for operators.

[0040] Since the management plan needs to be put into practical application in the end, the profit model oriented towards profit maximization should also be constrained by the actual situation. That is, when solving the profit model, the profit model should be constrained by a multi-energy coupling constraint condition group so that the optimal energy scheduling management plan solved conforms to the actual situation.

[0041] In one embodiment, the multi-energy coupling constraint group includes electric power balance constraint, thermal power balance constraint, electric energy storage operation constraint, thermal energy storage operation constraint, thermal storage electric boiler operation constraint and equipment operation constraint, as described below:

[0042] Since the sum of the input node power must be equal to the sum of the output node power at the power node in the energy flow diagram, the power balance constraint should be used to constrain the revenue model. The power balance constraint is expressed as:

[0043] P t CHP =P t EB +P t CHP.c +P t CHP.PL

[0044] P t L +P t ES.d +P t CHP.PL +P t MT =P t P2G +P t HP +P t PL

[0045] P t PL =P t LOAD

[0046]

[0047] Where P t CHP.PL P is the electric energy input from the cogeneration equipment to the user. t CHP is the power generation of the cogeneration equipment at time t, P t EB is the power supply of the thermal storage electric boiler at time t, P t CHP.c is the power of the cogeneration equipment charging the power storage at time t, P t PL P is the amount of electricity supplied by the operator to the user at time t, t MT is the power generation of the micro-turbine unit at time t, P t P2G is the power supply at time t, P t HP Q is the power supply of the heat pump equipment at time t. t To remove the waste heat from the gas turbine exhaust, The heat supplied by P to the user group at time t, is the gas purchase volume of the operator’s cogeneration equipment at time t, η p is the power generation efficiency of the gas turbine in the cogeneration equipment, η HB is the efficiency of the waste heat boiler, is the gas supply of the micro-turbine at time t, η MT is the power generation efficiency of the micro-turbine, P t LOAD The power consumption reported by the user to the operator at time t.

[0048] In addition to the balance of electrical power, the sum of the input node power at the thermal power node must also be equal to the sum of the output node power. Therefore, the thermal power balance constraint should be used to constrain the revenue model. The thermal power balance constraint is expressed as:

[0049]

[0050]

[0051]

[0052]

[0053] In the formula, The heat energy input to the user by the cogeneration equipment, is the total amount of heat supplied to the user at time t. is the heat output of the heat pump at time t, P t HP is the power supply of the heat pump at time t, ηHP is the efficiency of the heat pump, It is the total heat load reported by the user to the operator at time t.

[0054] Similarly, at the gas power node, the sum of the input node power must be equal to the sum of the output node power. Therefore, the gas power balance constraint should be used to constrain the revenue model. The gas power balance constraint is expressed as:

[0055]

[0056]

[0057] in, is the amount of gas discharged from the gas tank at time t, It is the total gas load reported by the user to the operator at time t.

[0058] First, set the state of charge constraint of the energy storage. By calculating the state of charge of the energy storage, we can know the remaining energy of the energy storage at each moment, and set upper and lower limits during operation to improve the safety of the energy storage system. The state of charge of the energy storage is expressed as follows:

[0059]

[0060] sP t ES.c =P t M.c +P t DERs.c +P t CHP.c

[0061] in, is the state of charge of the energy storage at time t, η p.c is the charging efficiency of the electric energy storage, η p.d The discharge efficiency of electric energy storage, CES p is the capacity of electrical energy storage, P t ES.c is the total charge of the energy storage system at time t, P t DERs.c It is the amount of charge from the distributed renewable energy generation directly under the park operator to the power storage system at time t.

[0062] On this basis, the normal operation of electric energy storage also needs to limit the upper and lower limits of the energy storage charge state and the charging and discharging power, and at the same time avoid charging and discharging the energy storage at the same time. Therefore, the operating constraints of electric energy storage are as follows:

[0063]

[0064] in, are the upper and lower limits of the energy storage state of charge, are the upper and lower limits of energy storage charging power, They are the upper and lower limits of the energy storage discharge power, respectively. A 0-1 variable is used to limit the energy storage from being able to charge and discharge simultaneously. B is a 0-1 variable.

[0065] The same operating constraints as electric energy storage, the state of charge of thermal energy storage is expressed as follows:

[0066]

[0067]

[0068] in, is the state of charge of the thermal energy storage at time t, η h.c is the charging efficiency of thermal energy storage, ηh.d is the heat release efficiency of thermal energy storage, CES h is the capacity of thermal energy storage, is the total heat capacity of the thermal energy storage system at time t, The heat that the cogeneration equipment charges to the thermal energy storage at time t, The amount of heat that the solar collector charges to the thermal energy storage at time t.

[0069] In addition, the normal operation of thermal energy storage also requires limiting the upper and lower limits of the energy storage charge state and the charging and discharging heat power, and also avoiding the simultaneous charging and discharging of energy storage. Therefore, the operating constraints of thermal energy storage are as follows:

[0070]

[0071] in, are the upper and lower limits of the thermal energy storage charge state, are the upper and lower limits of the energy storage charging power, The upper and lower limits of the energy storage heat release power are used to limit the heat storage energy from being charged and discharged at the same time, and A is a 0-1 variable.

[0072] Similar to electrical and thermal energy storage, the state of charge of gas energy storage is expressed as follows:

[0073]

[0074]

[0075] in, is the state of charge of the gas energy storage at time t, η g.c is the charging efficiency of gas energy storage, η g.d The deflation efficiency of gas energy storage, CES g is the capacity of gas energy storage, is the total gas volume of the gas energy storage system at time t.

[0076] In addition, the normal operation of gas energy storage also requires limiting the upper and lower limits of the energy storage charge state and the charging and discharging power, and also avoiding the simultaneous charging and discharging of energy storage. Therefore, the operating constraints of gas energy storage are as follows:

[0077]

[0078] in, are the upper and lower limits of the gas energy storage charge state, are the upper and lower limits of energy storage charging power, They are the upper and lower limits of the energy storage discharge power. A 0-1 variable is used to limit the simultaneous charging and discharging of the gas storage energy. A is a 0-1 variable.

[0079] Similar to energy storage equipment, the charge state of a thermal storage electric boiler is expressed as follows:

[0080]

[0081] in, is the charge state of the thermal storage electric boiler at time t, CES EB is the capacity of the thermal storage electric boiler, P t EB is the power supply of the thermal storage electric boiler at time t, is the heat generation of the thermal storage electric boiler at time t, η EB.c is the heat energy conversion efficiency of the thermal storage electric boiler, η EB.d is the heat release efficiency of the thermal storage electric boiler.

[0082] In addition, the normal operation of the thermal storage electric boiler also requires limiting the upper and lower limits of the energy storage charge state and the charging and discharging power, and also avoiding the simultaneous charging and discharging of the energy storage. Therefore, the operating constraints of the thermal storage electric boiler are as follows:

[0083]

[0084] in, are the upper and lower limits of the charge state of the thermal storage electric boiler, are the upper and lower limits of energy storage charging power, They are the upper and lower limits of the heat storage electric boiler's heat release power. A 0-1 variable is used to restrict the heat storage electric boiler from charging and discharging at the same time, and A is a 0-1 variable.

[0085] In the application of cogeneration technology, the output increase rate of the cogeneration equipment must be less than the maximum upward climbing rate of the equipment, the output decrease rate must be less than the maximum downward climbing rate, and there are also power upper and lower limit constraints. Therefore, the operating constraints of the cogeneration equipment are:

[0086]

[0087]

[0088] in are the maximum upward climbing rate and the maximum downward climbing rate of the output power of the cogeneration equipment, are the maximum upward climbing rate and the maximum downward climbing rate of the thermal power output of the cogeneration equipment, are the upper and lower limits of the output power of the cogeneration equipment, They are respectively the upper and lower limits of the thermal power output of the cogeneration equipment.

[0089] In one embodiment, the multi-energy coupling constraint condition group further includes energy supply equipment constraint conditions and price constraint conditions.

[0090] Among them, the energy supply equipment constraint conditions include the micro-turbine operation constraint conditions used to constrain the maximum gas supply volume of the micro-turbine, specifically:

[0091]

[0092] In the formula, The upper and lower limits of the gas supply to the micro turbine.

[0093] The energy supply equipment constraint conditions include power-to-gas equipment operation constraint conditions for constraining the maximum power supply of the power-to-gas equipment, specifically:

[0094]

[0095] In the formula, The upper and lower limits of the power supply for the power-to-gas equipment.

[0096] The energy supply equipment constraints include heat pump operation constraints for constraining the maximum power supply of the heat pump, specifically:

[0097]

[0098] In the formula, The upper and lower limits of the heat pump power supply.

[0099] The price constraint condition requires that the electricity price and heat price set must be lower than the price of electricity and heat purchased from the outside, which can be specifically expressed as follows:

[0100]

[0101] Based on the above revenue model and constraint condition group, in order to further describe the revenue model, the management revenue and management cost in the revenue model are further described here. Since the management revenue is composed of energy sales revenue and demand response revenue, and the management cost is composed of electricity purchase cost, heat purchase cost and gas purchase cost, each cost and revenue item will be further described here.

[0102] Specifically, the energy sales revenue expression is:

[0103]

[0104] in, is the time-of-use electricity price set by the operator at time t, P t PL is the electric energy provided by the operator to the user at time t, is the time-of-use heating price set by the operator at time t, is the heat energy provided by the operator to the user at time t, is the time-of-use natural gas price set by the operator at time t, It is the natural gas provided by the operator to the user at time t.

[0105] When the park supplier responds to the needs of the system, the operator reduces its own electricity consumption according to the dispatch instructions to reduce the operator and its energy storage's purchase of electricity from the main grid, and obtains revenue through demand response. Therefore, the specific expression of demand response revenue is as follows:

[0106]

[0107] Among them, I DR Compensation for operators who reduce electricity and heat consumption after responding to demand response. is the compensation price for different demand response types, P DR The amount of power reduced in response to the dispatch instruction, is the compensation electricity price for different demand response types, H DR The heat reduction in response to the dispatch instruction, is the compensation gas price for different demand response types, G DR The amount of gas reduced in response to a dispatch instruction.

[0108] Correspondingly, the specific cost of purchasing electricity is:

[0109]

[0110] in, is the time-of-use electricity price of the main grid at time t, P t M.c P is the amount of electricity purchased from the main grid at time t, t LIt is the amount of electricity purchased directly from the grid by the operator at time t to supply the load.

[0111] The specific gas purchase cost is:

[0112]

[0113] in, is the heating price of the heating network at time t, The operator directly purchases heat from the heating network at time t.

[0114] The park operator purchases natural gas directly from the gas grid to meet its own natural gas load or store it, as well as supply it to the CHP system. The specific gas purchase cost is:

[0115]

[0116] in, is the natural gas price of the gas grid at time t, is the CHP gas purchase volume of the operator at time t, is the gas supply to the gas storage at time t, It is the gas volume directly supplied by the operator to the user at time t.

[0117] S3: According to the optimal energy scheduling and management plan, multiple energy sources are scheduled and managed separately.

[0118] In one embodiment, this step specifically includes: determining the amount of electricity, heat and gas to be purchased according to the optimal energy scheduling management plan, thereby purchasing corresponding electricity, heat and gas energy from the main grid, and using various energy supply equipment to produce and supplement them.

[0119] The present invention provides an energy scheduling management method for an integrated energy system. While fully considering the multi-energy coupling supply, the optimal energy scheduling management plan for multi-energy coupling of an energy scheduling management module is calculated through a preset profit model and the plan is executed. The energy scheduling management method improves the overall economy of multi-energy scheduling management. Specific embodiment 2

[0121] Furthermore, an embodiment of the present invention also describes an energy scheduling management method for an integrated energy system. Figure 2 FIG. 2 is a flow chart showing another embodiment of an energy dispatching management method for an integrated energy system according to the present invention. Figure 2 As shown, the method comprises the following steps:

[0122] A1: According to the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side and the demand response scheduling instructions, set the multi-energy time-of-use price and send the multi-energy time-of-use price to the user side.

[0123] In order to encourage users to reduce peak loads and fill valleys, thereby making the loads of various energy networks more balanced, it controls the equipment directly under its jurisdiction to respond to system instructions and meet user needs, and earns certain profits by setting park energy prices and responding to system needs.

[0124] A2: Receive the multi-energy time-of-use price and the multi-energy load adjustment instruction sent by the user.

[0125] A3: Calculate and obtain a multi-energy load optimization demand data group based on a preset user cost model, a preset multi-energy load model group, the multi-energy time-sharing price, and the user's multi-energy load adjustment.

[0126] Specifically, the user's cost model refers to the user's total cost model, that is, the sum of the user's energy cost, load transfer cost and load reduction cost. In the present invention, the user's total cost is minimized as the goal, and the model is modeled as follows:

[0127]

[0128] In the formula, is the energy cost of user i at time t, are the load transfer cost and load reduction cost of user i at time t.

[0129] The energy cost expression is as follows:

[0130]

[0131] In the formula, The electricity fee paid by user i to the park operator at time t; Time-of-use electricity prices set for operators, is the electricity load of user i at time t; The heating fee paid by user i to the park operator at time t; Time-of-use heat prices set for operators, is the heat load of user i at time t, is the natural gas fee paid by user i to the park operator at time t; Time-of-use natural gas prices set for operators, is the natural gas load of user i at time t.

[0132] The expressions of load transfer cost and load reduction cost are as follows:

[0133]

[0134] Among them, the total load used by users to respond to system demand should be the combination of translation load and reduction load, expressed as:

[0135]

[0136]

[0137]

[0138] in, They represent the unit costs required to transfer electric load, reduce electric load, transfer heat load, reduce heat load, transfer gas load, and reduce gas load at time t respectively.

[0139] In one embodiment, the preset multi-energy load model group includes an electric load model, a thermal load model, and a gas load model.

[0140] Among them, taking the user group as a whole, the expression of the system net load at time t as the sum of the net loads of all users is as follows:

[0141]

[0142]

[0143] Among them, P i.t is the load of user i in time period t; i.t is the predicted value of the distributed renewable energy output supplied to the user of the ith household; n is the total number of users; is the net load of user i in time period t; P t LOAD It is the total net electricity load reported by the user to the operator at time t.

[0144] The user's own load includes fixed load, reducible load and shiftable load. The electric load model of user i at time t is defined as follows:

[0145]

[0146] in, is the fixed load of the user in time period t; is the increase in the user's translatable load in time period t; is the load reduction that the user can reduce at time t.

[0147] Fixed loads have high reliability requirements and require real-time power supply. The fixed load expression of the i-th user is as follows:

[0148]

[0149] The shiftable load does not need to guarantee power supply in real time, and the power consumption time can be adjusted according to needs. It only needs to ensure continuous power supply within a certain period of time. The expression of the shiftable load of the i-th user is as follows:

[0150]

[0151] The translatable load at each moment Need to meet:

[0152]

[0153]

[0154] in, They are The upper and lower limits of the value.

[0155] The load that can be reduced can be reduced completely or partially according to the actual situation. The expression of the load that can be reduced by the i-th user is as follows:

[0156]

[0157]

[0158]

[0159] in, for The upper and lower limits of the value. i The total amount of load that can be reduced for user i is allowed, and it must be ensured that the load reduction does not exceed the predetermined total amount of load that can be reduced.

[0160] The expression of distributed energy output supplying users themselves is as follows:

[0161] der i ∈[der i,1 ,…der i,T ]i∈{1,2,…,n}

[0162] At the same time, the user's heat load, like the electrical load, also includes fixed load, shiftable load and reducible load. The overall heat load expression of user i at time t is as follows:

[0163]

[0164]

[0165]

[0166]

[0167]

[0168]

[0169] in, is the fixed heat load of user i at time t; is the transferable heat load of user i at time t; is the heat load that can be reduced by user i at time t, L i The total amount of heat load that can be reduced for user i.

[0170] The natural gas load of the user is similar. The overall heat load expression of user i at time t is as follows:

[0171]

[0172]

[0173]

[0174]

[0175]

[0176]

[0177] in, is the fixed gas load of user i at time t; is the transferable gas load of user i at time t; is the gas load that can be reduced by user i at time t, Z i The total amount of gas load that can be reduced for user i.

[0178] A4: Receive the multi-energy load optimization demand data group sent by the user side.

[0179] The multi-energy load optimization demand data group includes electric energy demand, thermal energy demand and natural gas demand.

[0180] A5: Calculate and obtain the optimal energy scheduling management plan based on the preset multi-energy time-of-use price, the multi-energy load optimization demand data group, the preset profit model and the preset multi-energy coupling constraint condition group.

[0181] Due to the presence of energy equipment such as cogeneration equipment, thermal storage electric boilers, power-to-gas equipment, micro-turbines, and heat pumps in the park, the park can sell energy to users at a relatively low price relative to the main grid through energy conversion and other means, and fully utilize the park's energy through the mutual coupling conversion of surplus energy. When the operator cannot meet the user's electricity / heat / gas load demand, it must purchase energy from the main grid at a high price to meet the load. Based on this energy supply idea, the preset benefit model can be used to calculate the solution that gives the highest energy supply benefit under the constraints of the multi-energy coupling constraint group, that is, the optimal energy scheduling management solution.

[0182] In one embodiment, the preset revenue model is specifically:

[0183] maxBr M =max(I M -C M )

[0184] In the formula, I M To manage revenue, C M To manage costs.

[0185] Since electricity, heat and natural gas can be supplied to users directly from the main grid, cogeneration equipment, energy storage and energy conversion equipment, and time-of-use energy prices can be set for users, while meeting the system's demand response to achieve the purpose of earning profits, management income I M It can be specifically divided into energy sales income, demand response income, and management income. M The specific expression is:

[0186] I M =I SELL +I DR

[0187] In the formula, I SELL The revenue from energy sales is the revenue from selling electricity, gas and heat directly to users. DR Demand response revenue, that is, the revenue obtained from responding to system demand.

[0188] The management cost mainly comes from the cost of purchasing electricity directly from the main grid, the cost of purchasing heat from the main grid through power storage, and the cost of purchasing gas from the external gas grid by the cogeneration equipment, which can be expressed as the following formula:

[0189] C M =C P +C H +C G

[0190] In the formula, C P is the operator’s electricity purchase cost, C H is the operator’s heat purchase cost, C G The gas purchase cost for operators.

[0191] Since the management plan needs to be put into practical application in the end, the profit model oriented towards profit maximization should also be constrained by the actual situation. That is, when solving the profit model, the profit model should be constrained by a multi-energy coupling constraint condition group so that the optimal energy scheduling management plan solved conforms to the actual situation.

[0192] In one embodiment, the multi-energy coupling constraint group includes electric power balance constraint, thermal power balance constraint, electric energy storage operation constraint, thermal energy storage operation constraint, thermal storage electric boiler operation constraint and equipment operation constraint, as described below:

[0193] Since the sum of the input node power must be equal to the sum of the output node power at the power node in the energy flow diagram, the power balance constraint should be used to constrain the revenue model. The power balance constraint is expressed as:

[0194] P t CHP =P t EB +P t CHP.c +P t CHP.PL

[0195] P t L +P t ES.d +P t CHP.PL +P t MT =P t P2G +P t HP +P t PL

[0196] P t PL =P t LOAD

[0197]

[0198] Where P t CHP.PL P is the electric energy input from the cogeneration equipment to the user. t CHP is the power generation of the cogeneration equipment at time t, P t EB is the power supply of the thermal storage electric boiler at time t, P t CHP.c is the power of the cogeneration equipment charging the power storage at time t, P t PL P is the amount of electricity supplied by the operator to the user at time t, t MT is the power generation of the micro-turbine unit at time t, P t P2G is the power supply at time t, Pt HP Q is the power supply of the heat pump equipment at time t. t To remove the waste heat from the gas turbine exhaust, The heat supplied by P to the user group at time t, is the gas purchase volume of the operator’s cogeneration equipment at time t, η p is the power generation efficiency of the gas turbine in the cogeneration equipment, η HB is the efficiency of the waste heat boiler, is the gas supply of the micro-turbine at time t, η MT is the power generation efficiency of the micro-turbine, P t LOAD The power consumption reported by the user to the operator at time t.

[0199] In addition to the balance of electrical power, the sum of the input node power at the thermal power node must also be equal to the sum of the output node power. Therefore, the thermal power balance constraint should be used to constrain the revenue model. The thermal power balance constraint is expressed as:

[0200]

[0201]

[0202]

[0203]

[0204] In the formula, The heat energy input to the user by the cogeneration equipment, is the total amount of heat supplied to the user at time t. is the heat output of the heat pump at time t, P t HP is the power supply of the heat pump at time t, η HP is the efficiency of the heat pump, It is the total heat load reported by the user to the operator at time t.

[0205] Similarly, at the gas power node, the sum of the input node power must be equal to the sum of the output node power. Therefore, the gas power balance constraint should be used to constrain the revenue model. The gas power balance constraint is expressed as:

[0206]

[0207]

[0208] in, is the amount of gas discharged from the gas tank at time t, It is the total gas load reported by the user to the operator at time t.

[0209] First, set the state of charge constraint of the energy storage. By calculating the state of charge of the energy storage, we can know the remaining energy of the energy storage at each moment, and set upper and lower limits during operation to improve the safety of the energy storage system. The state of charge of the energy storage is expressed as follows:

[0210]

[0211] sP t ES.c =P t M.c +P t DERs.c +P t CHP.c

[0212] in, is the state of charge of the energy storage at time t, η p.c is the charging efficiency of the electric energy storage, η p. d is the discharge efficiency of the electric energy storage, CES p is the capacity of electrical energy storage, P t ES.c is the total charge of the energy storage system at time t, P t DERs.c It is the amount of charge from the distributed renewable energy generation directly under the park operator to the power storage system at time t.

[0213] On this basis, the normal operation of electric energy storage also needs to limit the upper and lower limits of the energy storage charge state and the charging and discharging power, and at the same time avoid charging and discharging the energy storage at the same time. Therefore, the operating constraints of electric energy storage are as follows:

[0214]

[0215] in, are the upper and lower limits of the energy storage state of charge, are the upper and lower limits of energy storage charging power, They are the upper and lower limits of the energy storage discharge power, respectively. A 0-1 variable is used to limit the energy storage from being able to charge and discharge simultaneously. B is a 0-1 variable.

[0216] The same operating constraints as electric energy storage, the state of charge of thermal energy storage is expressed as follows:

[0217]

[0218]

[0219] in, is the state of charge of the thermal energy storage at time t, η h.c is the charging efficiency of thermal energy storage, η h.dThe heat release efficiency of thermal energy storage, CES h is the capacity of thermal energy storage, is the total heat capacity of the thermal energy storage system at time t, The heat that the cogeneration equipment charges to the thermal energy storage at time t, The amount of heat that the solar collector charges to the thermal energy storage at time t.

[0220] In addition, the normal operation of thermal energy storage also requires limiting the upper and lower limits of the energy storage charge state and the charging and discharging heat power, and also avoiding the simultaneous charging and discharging of energy storage. Therefore, the operating constraints of thermal energy storage are as follows:

[0221]

[0222] in, are the upper and lower limits of the thermal energy storage charge state, are the upper and lower limits of the energy storage charging power, The upper and lower limits of the energy storage heat release power are used to limit the heat storage energy from being charged and discharged at the same time, and A is a 0-1 variable.

[0223] Similar to electrical and thermal energy storage, the state of charge of gas energy storage is expressed as follows:

[0224]

[0225]

[0226] in, is the state of charge of the gas energy storage at time t, η g.c is the charging efficiency of gas energy storage, η g. d is the deflation efficiency of gas energy storage, CES g is the capacity of gas energy storage, is the total gas volume of the gas energy storage system at time t.

[0227] In addition, the normal operation of gas energy storage also requires limiting the upper and lower limits of the energy storage charge state and the charging and discharging power, and also avoiding the simultaneous charging and discharging of energy storage. Therefore, the operating constraints of gas energy storage are as follows:

[0228]

[0229] in, are the upper and lower limits of the gas energy storage charge state, are the upper and lower limits of energy storage charging power, They are the upper and lower limits of the energy storage discharge power. A 0-1 variable is used to limit the simultaneous charging and discharging of the gas storage energy. A is a 0-1 variable.

[0230] Similar to energy storage equipment, the charge state of a thermal storage electric boiler is expressed as follows:

[0231]

[0232] in, is the charge state of the thermal storage electric boiler at time t, CES EB is the capacity of the thermal storage electric boiler, P t EB is the power supply of the thermal storage electric boiler at time t, is the heat generation of the thermal storage electric boiler at time t, η EB.c is the heat energy conversion efficiency of the thermal storage electric boiler, η EB.d is the heat release efficiency of the thermal storage electric boiler.

[0233] In addition, the normal operation of the thermal storage electric boiler also requires limiting the upper and lower limits of the energy storage charge state and the charging and discharging power, and also avoiding the simultaneous charging and discharging of the energy storage. Therefore, the operating constraints of the thermal storage electric boiler are as follows:

[0234]

[0235] in, are the upper and lower limits of the charge state of the thermal storage electric boiler, are the upper and lower limits of energy storage charging power, They are the upper and lower limits of the heat storage electric boiler's heat release power. A 0-1 variable is used to restrict the heat storage electric boiler from charging and discharging at the same time, and A is a 0-1 variable.

[0236] In the application of cogeneration technology, the output increase rate of the cogeneration equipment must be less than the maximum upward climbing rate of the equipment, the output decrease rate must be less than the maximum downward climbing rate, and there are also power upper and lower limit constraints. Therefore, the operating constraints of the cogeneration equipment are:

[0237]

[0238]

[0239] in are the maximum upward climbing rate and the maximum downward climbing rate of the output power of the cogeneration equipment, are the maximum upward climbing rate and the maximum downward climbing rate of the thermal power output of the cogeneration equipment, are the upper and lower limits of the output power of the cogeneration equipment, They are respectively the upper and lower limits of the thermal power output of the cogeneration equipment.

[0240] In one embodiment, the multi-energy coupling constraint condition group further includes energy supply equipment constraint conditions and price constraint conditions.

[0241] Among them, the energy supply equipment constraint conditions include the micro-turbine operation constraint conditions used to constrain the maximum gas supply volume of the micro-turbine, specifically:

[0242]

[0243] In the formula, The upper and lower limits of the gas supply to the micro turbine.

[0244] The energy supply equipment constraint conditions include power-to-gas equipment operation constraint conditions for constraining the maximum power supply of the power-to-gas equipment, specifically:

[0245]

[0246] In the formula, The upper and lower limits of the power supply for the power-to-gas equipment.

[0247] The energy supply equipment constraints include heat pump operation constraints for constraining the maximum power supply of the heat pump, specifically:

[0248]

[0249] In the formula, The upper and lower limits of the heat pump power supply.

[0250] The price constraint condition requires that the electricity price and heat price set must be lower than the price of electricity and heat purchased from the outside, which can be specifically expressed as follows:

[0251]

[0252] Based on the above revenue model and constraint condition group, in order to further describe the revenue model, the management revenue and management cost in the revenue model are further described here. Since the management revenue is composed of energy sales revenue and demand response revenue, and the management cost is composed of electricity purchase cost, heat purchase cost and gas purchase cost, each cost and revenue item will be further described here.

[0253] Specifically, the energy sales revenue expression is:

[0254]

[0255] in, is the time-of-use electricity price set by the operator at time t, P t PL is the electric energy provided by the operator to the user at time t, is the time-of-use heating price set by the operator at time t, is the heat energy provided by the operator to the user at time t, is the time-of-use natural gas price set by the operator at time t, It is the natural gas provided by the operator to the user at time t.

[0256] When the park supplier responds to the needs of the system, the operator reduces its own electricity consumption according to the dispatch instructions to reduce the operator and its energy storage's purchase of electricity from the main grid, and obtains revenue through demand response. Therefore, the specific expression of demand response revenue is as follows:

[0257]

[0258] Among them, I DR Compensation for operators who reduce electricity and heat consumption after responding to demand response. is the compensation price for different demand response types, P DR The amount of power reduced in response to the dispatch instruction, is the compensation electricity price for different demand response types, H DR The heat reduction in response to the dispatch instruction, is the compensation gas price for different demand response types, G DR The amount of gas reduced in response to a dispatch instruction.

[0259] Correspondingly, the specific cost of purchasing electricity is:

[0260]

[0261] in, is the time-of-use electricity price of the main grid at time t, P t M.c P is the amount of electricity purchased from the main grid at time t, t L It is the amount of electricity purchased directly from the grid by the operator at time t to supply the load.

[0262] The specific gas purchase cost is:

[0263]

[0264] in, is the heating price of the heating network at time t, The operator directly purchases heat from the heating network at time t.

[0265] The park operator purchases natural gas directly from the gas grid to meet its own natural gas load or store it, as well as supply it to the CHP system. The specific gas purchase cost is:

[0266]

[0267] in, is the natural gas price of the gas grid at time t, is the CHP gas purchase volume of the operator at time t, is the gas supply to the gas storage at time t, It is the gas volume directly supplied by the operator to the user at time t.

[0268] A6: According to the optimal energy scheduling and management plan, various energy sources are scheduled and managed separately.

[0269] In one embodiment, this step specifically includes: determining the amount of electricity, heat and gas to be purchased according to the optimal energy scheduling management plan, thereby purchasing corresponding electricity, heat and gas energy from the main grid, and using various energy supply equipment to produce and supplement them.

[0270] The present invention provides an energy dispatching and management method for an integrated energy system. Under full consideration of multi-energy coupling supply, the optimal energy dispatching and management scheme for multi-energy coupling of an energy dispatching and management module is calculated and executed through a preset profit model. The energy dispatching and management method improves the overall economy of multi-energy dispatching and management. Furthermore, the energy dispatching and management method for an integrated energy system provided by the present invention also sets a multi-energy time-of-use price based on a multi-energy load plan demand data group sent by a user side, a multi-energy price data group sent by a supply side, and a demand response dispatch instruction. The multi-energy load optimization demand data group is calculated based on a user cost model, a preset multi-energy load model group, the multi-energy time-of-use price, and a multi-energy load adjustment instruction sent by a user. Thus, by setting a time-of-use electricity price, the user is fully guided to adjust the load, thereby enhancing the interactivity of the energy dispatching and management of the integrated energy system. Specific embodiment three

[0272] In addition to the above method, the embodiment of the present invention also describes an energy scheduling management device for an integrated energy system. Figure 3 A structural diagram of an embodiment of an energy dispatching management device for an integrated energy system according to the present invention is shown.

[0273] like Figure 3 As shown, the energy management device includes a data receiving unit 11 , a solution calculating unit 12 and an execution management unit 13 .

[0274] The data receiving unit 11 is used to receive a multi-energy load optimization demand data group sent by a user side.

[0275] The scheme calculation unit 12 is used to calculate the optimal energy dispatch management scheme according to the preset multi-energy time-sharing price, the multi-energy load optimization demand data group, the preset profit model and the preset multi-energy coupling constraint condition group. The multi-energy coupling constraint condition group includes an electric power balance constraint condition group and a thermal power balance constraint condition group.

[0276] The execution management unit 13 is used to perform scheduling management on multiple energy sources respectively according to the optimal energy scheduling management plan.

[0277] In one embodiment, the energy scheduling and management device also includes an energy pricing unit, which is used to set a multi-energy time-of-use price and send the multi-energy time-of-use price to the user side based on the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side, and the demand response scheduling instructions.

[0278] In one embodiment, the energy scheduling and management device also includes a demand adjustment unit, which is used to: receive the multi-energy time-of-use price and the multi-energy load adjustment instruction sent by the user; calculate and obtain the multi-energy load optimization demand data group based on a preset user cost model, a preset multi-energy load model group, the multi-energy time-of-use price and the multi-energy load adjustment instruction sent by the user.

[0279] The present invention provides an energy dispatching and management device for an integrated energy system. Under full consideration of multi-energy coupling supply, the optimal energy dispatching and management scheme for multi-energy coupling of an energy dispatching and management module is calculated and executed through a preset profit model. The energy dispatching and management device improves the overall economic efficiency of multi-energy dispatching and management. Furthermore, the energy dispatching and management device for an integrated energy system provided by the present invention also sets a multi-energy time-of-use price based on a multi-energy load plan demand data group sent by a user side, a multi-energy price data group sent by a supply side, and a demand response dispatch instruction. The multi-energy load optimization demand data group is calculated based on a user cost model, a preset multi-energy load model group, the multi-energy time-of-use price, and a multi-energy load adjustment instruction sent by a user. Thus, by setting a time-of-use electricity price, the user is fully guided to adjust the load, thereby enhancing the interactivity of the energy dispatching and management of the integrated energy system. Specific embodiment 4

[0281] In addition to the above method and apparatus, the embodiment of the present invention also describes an energy dispatching and management system for an integrated energy system. Figure 4 A structural diagram of an embodiment of an energy dispatching and management system for an integrated energy system according to the present invention is shown.

[0282] like Figure 4 As shown, the energy scheduling management system includes an energy scheduling management module 1, a user side 2 and a supply side 3, and the user side 2, the energy scheduling management module 1 and the supply side 3 are communicatively connected in sequence.

[0283] The user side 2 is used to receive the multi-energy load plan demand data group sent by the user, and send the multi-energy load plan demand data group to the energy scheduling management module; receive the multi-energy time-sharing price sent by the energy scheduling management module, and send the multi-energy time-sharing price to the user; and receive the multi-energy load adjustment instruction sent by the user according to the multi-energy time-sharing price, and send the multi-energy load adjustment instruction to the energy scheduling management module.

[0284] The energy dispatching management module 1 is used to execute the energy dispatching management method of the integrated energy system as described above according to the multi-energy load planned demand data group, the multi-energy load adjustment instruction, the multi-energy price data group sent by the supply side, and the demand response dispatching instruction, so as to respectively dispatch and manage multiple energy sources according to the optimal energy dispatching management plan. In one embodiment, the energy dispatching management module 1 also includes a multi-energy storage device and a multi-energy generation device, and the multi-energy storage device is mechanically connected to the multi-energy generation device. In one embodiment, the multi-energy generation device includes a combination of one or more of a micro-gas turbine unit, a power-to-gas device, a heat pump, a heat storage electric boiler, and a solar collector.

[0285] The supply side 3 is used to send a multi-energy price data group and a demand response scheduling instruction to the energy scheduling management module 1; and, according to the optimal energy scheduling management plan, supply energy to the energy scheduling management module accordingly.

[0286] The present invention provides an energy dispatching and management system for an integrated energy system. Under full consideration of the multi-energy coupling supply, the optimal energy dispatching and management scheme for the multi-energy coupling of the energy dispatching and management module is calculated and executed through a preset profit model. The energy dispatching and management system improves the overall economic efficiency of the multi-energy dispatching and management. Furthermore, the energy dispatching and management system for an integrated energy system provided by the present invention also sets a multi-energy time-of-use price based on a multi-energy load plan demand data group sent by the user side, a multi-energy price data group sent by the supply side, and a demand response dispatch instruction. The multi-energy load optimization demand data group is calculated based on a user cost model, a preset multi-energy load model group, the multi-energy time-of-use price, and a multi-energy load adjustment instruction sent by the user. Thus, by setting the time-of-use electricity price, the user is fully guided to adjust the load, thereby enhancing the interactivity of the energy dispatching and management of the integrated energy system.

[0287] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. An energy dispatching management method for an integrated energy system, characterized in that: The energy dispatching management method comprises: According to the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side and the demand response scheduling instruction, a multi-energy time-sharing price is set and sent to the user side, wherein the multi-energy time-sharing price includes a time-sharing electricity price, a time-sharing heat price and a time-sharing natural gas price; Receive a multi-energy load adjustment instruction sent by a user; calculate and obtain a multi-energy load optimization demand data group according to a preset user cost model, a preset multi-energy load model group, the multi-energy time-of-use price and the multi-energy load adjustment instruction sent by the user, wherein the user cost model is the sum of the user's energy cost, load transfer cost and load reduction cost, the multi-energy load model group includes an electric load model, a thermal load model and a gas load model, wherein the energy cost is calculated based on the time-of-use electricity price, the time-of-use thermal price and the time-of-use natural gas price; The optimal energy dispatch management scheme is calculated based on the multi-energy time-of-use price, the multi-energy load optimization demand data group, the preset profit model and the preset multi-energy coupling constraint condition group; the multi-energy coupling constraint condition group includes an electric power balance constraint condition group and a thermal power balance constraint condition group; According to the optimal energy scheduling and management plan, multiple energy sources are scheduled and managed separately.

2. An energy dispatching and management device for an integrated energy system, characterized in that: The energy scheduling management device includes an energy pricing unit, a demand adjustment unit, a solution calculation unit and an execution management unit, wherein: The energy pricing unit is used to set a multi-energy time-sharing price and send the multi-energy time-sharing price to the user side according to the multi-energy load plan demand data group sent by the user side, the multi-energy price data group sent by the supply side and the demand response scheduling instruction, wherein the multi-energy time-sharing price includes a time-sharing electricity price, a time-sharing heat price and a time-sharing natural gas price; The demand adjustment unit is used to receive a multi-energy load adjustment instruction sent by a user; according to a preset user cost model, a preset multi-energy load model group, the multi-energy time-of-use price and the multi-energy load adjustment instruction sent by the user, a multi-energy load optimization demand data group is calculated, wherein the user cost model is the sum of the user's energy cost, load transfer cost and load reduction cost, the multi-energy load model group includes an electric load model, a thermal load model and a gas load model, wherein the energy cost is calculated based on the time-of-use electricity price, time-of-use thermal price and time-of-use natural gas price; The scheme calculation unit is used to calculate the optimal energy dispatch management scheme according to the multi-energy time-sharing price, the multi-energy load optimization demand data group, the preset profit model and the preset multi-energy coupling constraint condition group; the multi-energy coupling constraint condition group includes an electric power balance constraint condition group and a thermal power balance constraint condition group; The execution management unit is used to perform scheduling management on multiple energy sources respectively according to the optimal energy scheduling management plan.

3. An energy dispatching and management system for an integrated energy system, characterized in that: The energy dispatching and management system comprises an energy dispatching and management module, a user side and a supply side, wherein the user side, the energy dispatching and management module and the supply side are sequentially connected in communication, wherein: The user side is used to receive a multi-energy load plan demand data group sent by a user, and send the multi-energy load plan demand data group to the energy scheduling management module; receive a multi-energy time-sharing price sent by the energy scheduling management module, and send the multi-energy time-sharing price to the user; and receive a multi-energy load adjustment instruction sent by the user according to the multi-energy time-sharing price, and send the multi-energy load adjustment instruction to the energy scheduling management module; The energy dispatching management module is used to execute the energy dispatching management method of the integrated energy system as claimed in claim 1 according to the multi-energy load planned demand data group, the multi-energy load adjustment instruction, the multi-energy price data group sent by the supply side, and the demand response dispatching instruction, so as to respectively dispatch and manage multiple energy sources according to the optimal energy dispatching management plan; The supply side is used to send a multi-energy price data group and a demand response scheduling instruction to the energy scheduling management module; and, according to the optimal energy scheduling management plan, supply energy to the energy scheduling management module accordingly.

4. The energy dispatching and management system of the integrated energy system according to claim 3 is characterized in that: The energy scheduling management module also includes a multi-energy storage device and a multi-energy generation device, and the multi-energy storage device is mechanically connected to the multi-energy generation device.

5. The energy dispatching and management system of the integrated energy system according to claim 4, characterized in that: The multi-energy generation device includes a combination of one or more of a micro-gas turbine, a power-to-gas device, a heat pump, a heat storage electric boiler and a solar collector.

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