Distributed transaction method based on block chain technology and target cascade analysis

Abstract

The invention discloses a distributed transaction method based on a block chain technology and target cascade analysis, and relates to the technical field of distributed energy transaction, and the method comprises the steps: constructing a producer and consumer energy model according to a local energy-standby market operation mechanism of a microgrid; a Nash negotiation model is constructed by considering the optimal transaction and price mutual relation of time for a plurality of parturients according to the parturient ability model; considering the charge-discharge efficiency and the battery loss efficiency of the storage battery, and constructing a dynamic operation model of the storage battery; constructing a bottom price model by considering the fairness of the distributed transaction to the buyer and the seller; and according to the producer and disagger energy model, the Nash negotiation model, the storage battery dynamic operation model and the bottom price model, analyzing a target cascade analysis theory, constructing a distributed transaction model based on the target cascade analysis theory, and solving the model to obtain a distributed transaction strategy. According to the invention, the income of the consumer and the enthusiasm of market participation in transaction can be improved, and distributed energy consumption is promoted.

Description

Technical Field

[0001] The present invention relates to the field of distributed energy trading technology, and in particular to a distributed trading method based on blockchain technology and target cascade analysis. Background Art

[0002] Peaking carbon emissions requires the use of distributed clean energy to replace traditional coal-fired power generation. With the gradual opening of the electricity market, physical electricity trading plays a key role in the electricity purchasing process. User-side distributed energy prioritizes meeting user needs and includes photovoltaics, energy storage, and other technologies. These technologies have small total installed capacity, are dispersed, and have a large number of devices. Therefore, exploring innovative mechanisms for user-side distributed energy trading and consumption is crucial to attracting more user participation and improving the benefits of opening up the energy trading market.

[0003] Traditional power generation rights trading ledgers are characterized by high operational and maintenance costs, non-transparent transactions, and insecure data storage, hindering the adoption of distributed energy trading on-chain. Blockchain technology, with its decentralized nature, strong scalability, and high transaction transparency, can alleviate the burden of auditing, oversight, and data maintenance in energy trading.

[0004] In view of this, a distributed transaction method based on blockchain technology and target cascade analysis is needed. Summary of the Invention

[0005] To address the problems in existing technologies, this invention provides a distributed trading method based on blockchain technology and target cascade analysis, which can improve the benefits of producers and consumers, increase their enthusiasm for market participation in transactions, and promote distributed energy consumption. The specific technical solution is as follows:

[0006] A distributed transaction method based on blockchain technology and target cascade analysis includes the following steps:

[0007] Construct a prosumer energy model based on the local energy-reserve market operation mechanism of the microgrid;

[0008] Based on the prosumer capability model, the Nash negotiation model is constructed by considering the optimal transaction and price relationship of multiple prosumers in finding time.

[0009] Considering the battery's charge and discharge efficiency and battery loss efficiency, a dynamic battery operation model is constructed;

[0010] Considering the fairness of distributed transactions to buyers and sellers, a floor price model is constructed to promote fair transactions;

[0011] Based on the aforementioned prosumer energy model, Nash negotiation model, battery dynamic operation model, and floor price model, we analyze the target cascade analysis theory and construct a distributed trading model based on the target cascade analysis theory. By solving this model, we can obtain a distributed trading strategy.

[0012] According to the distributed transaction strategy, the producer and consumer initiates a transaction request through a digital signature. The transaction is temporarily stored in the memory pool after being verified by the node, packaged into a new block by the consensus mechanism, and broadcast to the entire network for verification. The smart contract automatically executes the settlement, triggering the payment of electricity bills or the transfer of quotas. The transaction data is encrypted and stored on the chain, and the IoT devices synchronize the power generation / consumption data to the blockchain in real time.

[0013] Preferably, the prosumer energy model is constructed as follows:

[0014] Assuming there are N prosumers in the microgrid, the load of prosumer n at 24 hours a day can be expressed as:

[0015]

[0016] Where, represents the load of prosumer n at time t;

[0017]

[0018] Where, represents the power generation of the equipment of prosumer n at time t;

[0019] Then the energy consumption of the prosumer at time t is:

[0020]

[0021] So the energy surplus of the prosumer at any time and energy deficit They are

[0022]

[0023] Preferably, the Nash negotiation model is constructed as follows:

[0024]

[0025] Where U n (x) represents the utility of the nth PC under the allocation scheme x, represents the threat point utility of the nth prosumer; U m (x) represents the utility of the mth PC under the allocation scheme x, represents the threat point utility of the mth prosumer; x nrepresents the amount of resources allocated to the nth prosumer, and X represents the total amount of resources.

[0026] Preferably, the battery model is constructed as follows:

[0027] Each distributed energy user is usually equipped with an energy storage battery. The operation model of the energy storage battery of the prosumer n is as follows:

[0028]

[0029] The state of charge, efficiency coefficient, and charge and discharge power constraints are as follows:

[0030]

[0031] Where, They represent the charging and discharging power of the battery at time t; SOC is the state of charge of the battery; η c ,η d is the charging and discharging efficiency of the battery; E b is the rated capacity of the battery; They represent the state variables of charge, During discharge are the maximum and minimum values of battery charging power respectively; are the maximum and minimum values of battery discharge power.

[0032] 5. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 4 is characterized in that the construction of the battery model also includes the following: frequent charging and discharging of the battery will reduce its service life, and the cost of a single use of the battery is introduced, and the cost expression is as follows:

[0033]

[0034] N=f(D)=a1D+a2D 2 -a3D+a4

[0035] Where, is the battery usage cost at time t; Pη is the product of charge and discharge power; C first represents the initial purchase cost of the battery, N represents the maximum number of cycles the battery can undergo at depth D; a1, a2, a3, and a4 are constants related to battery characteristics.

[0036] Preferably, the reserve price model is constructed as follows:

[0037] Establish the floor price function for prosumers:

[0038]

[0039] Where p gs is the grid electricity sales price, p gb The price of surplus electricity on the grid, SPC n (t) is the expected profit coefficient of electricity sales by producers and consumers.

[0040] Preferably, the distributed transaction model based on target cascade analysis theory is constructed as follows:

[0041] The upper objective function of the tradable energy model based on the target cascade analysis theory is to minimize the overall electricity purchase cost of all distributed entities:

[0042]

[0043] In the formula, x is a distributed subject object; X is the set of all distributed subjects; C g,x,t is the fuel cost of the distributed entity x at time t. If there is no gas equipment, this item is 0; is the electricity price of the power grid at time t; P xG,t is the power sold by the grid to the distributed entity x at time t; P is the price of electricity sold by the distributed entity x to the grid at time t; Gx,t is the electricity sold by the distributed entity x to the grid at time t.

[0044] Preferably, the distributed entities are subject to the following constraints in terms of system operation and market behavior: power balance constraint, power purchase and sales power consistency constraint, and grid interaction power constraint, specifically as follows:

[0045]

[0046] Q yrx,t +Q dglx,t =Q hsx,t +Q xscoldx,t +L hotx,t

[0047] C xscoldx,t +C ecoldx,t =L coldx,t

[0048] P′ xy,t =P xy,t

[0049]

[0050] Where, P rfx,t 、P pvx,t 、P ecoldx,t are the gas turbine power generation, photovoltaic power generation, and refrigerator power consumption corresponding to the distributed entity x; P xy,t , P′ xy,tis the power purchased by distributed entity x from distributed entity y at time t and its interaction variables; x P is the set of distributed entities that purchase and sell electricity with distributed entity x; yx,t P is the power purchased by distributed entity y from distributed entity x; cx,t 、P dx,t is the energy storage charging and discharging power of the distributed entity x; L x,t is the rigid electric load of the distributed body x;

[0051] Q yrx,t , Q dglx,t , Q hsx,t , Q xscoldx,t are the waste heat power of the gas turbine, the heating power of the electric boiler, the heat storage power, and the heat power consumed by the refrigerator corresponding to the distributed entity x; L hotx,t is the rigid heat load of the distributed body x;

[0052] C xscodx,t and C ecoldx,t are the cooling power of the refrigerator and the cooling power of the electric refrigerator corresponding to the distributed subject x respectively; L coldx,t is the rigid cooling load of the distributed body x.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] In the present invention, blockchain technology makes transaction records transparent and tamper-proof. Target cascade analysis can identify and solve potential problems in the system by optimizing and analyzing transaction targets layer by layer, thereby improving the overall effectiveness and efficiency of transaction strategies, increasing the benefits of producers and consumers and the enthusiasm of the market to participate in transactions, and promoting distributed energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0056] Figure 1 Flow chart of the method of the present invention.

[0057] Figure 2 24-hour electricity generation by prosumers.

[0058] Figure 3 24-hour load curve of prosumers.

[0059] Figure 4 The surplus electricity of the prosumer. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0061] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0062] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0063] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0064] Example

[0065] See also Figure 1 , the present invention discloses a distributed transaction method based on blockchain technology and target cascade analysis, comprising the following steps:

[0066] Step S1: Construct a prosumer energy model based on the local energy-reserve market operation mechanism of the microgrid;

[0067] Step S2: Based on the prosumer energy model in S1, consider the optimal transaction volume and price relationship between multiple prosumers and construct a Nash negotiation model;

[0068] Step S3: Considering the battery charge and discharge efficiency and battery loss efficiency, a dynamic operation model of the battery is constructed;

[0069] Step S4: Considering the fairness of distributed transactions to buyers and sellers, a floor price model is constructed to promote fair transactions;

[0070] Step S5: Based on the prosumer energy model of step S1, the Nash negotiation model of step S2, the battery dynamic operation model of step S3, and the floor price model of step S4, the target cascade analysis theory is analyzed, and a distributed trading model based on the target cascade analysis theory is constructed. By solving the model, a distributed trading strategy can be obtained.

[0071] Step S6: Based on the distributed transaction strategy from step S5, the prosumer initiates a transaction request containing information such as electricity consumption and price using a digital signature. After verification by the nodes, the transaction is temporarily stored in the memory pool, packaged into a new block by the consensus mechanism, and broadcast to the entire network for verification. A smart contract automatically executes the settlement, triggering electricity bill payment or quota transfer. Transaction data such as time, electricity consumption, and price are encrypted and stored on-chain to ensure transparency and immutability. IoT devices synchronize power generation and consumption data to the blockchain in real time to ensure authenticity. The final transaction record is publicly accessible, eliminating intermediaries, improving efficiency, and reducing trust costs.

[0072] The specific process is as follows:

[0073] The prosumer energy model constructed in step S1 is as follows: Assuming there are N prosumers in the microgrid, the load of prosumer n at 24 times a day can be expressed as:

[0074]

[0075] Where, represents the load of prosumer n at time t;

[0076]

[0077] Where, represents the power generation of the equipment of prosumer n at time t;

[0078] Then the energy consumption of the prosumer at time t is:

[0079]

[0080] So the energy surplus of the prosumer at any time and energy deficit They are

[0081]

[0082] The Nash negotiation model is constructed in step S2 as follows:

[0083]

[0084] Where U n (x) represents the utility of the nth PC under the allocation scheme x, represents the threat point utility of the nth prosumer; U m (x) represents the utility of the mth PC under the allocation scheme x, represents the threat point utility of the mth prosumer; x n represents the amount of resources allocated to the nth prosumer, and X represents the total amount of resources.

[0085] In step S3, each distributed energy user is usually equipped with an energy storage battery. The operation model of the energy storage battery of prosumer n is as follows:

[0086]

[0087] The state of charge, efficiency coefficient, and charge and discharge power constraints are as follows:

[0088]

[0089] Where, They represent the charging and discharging power of the battery at time t; SOC is the state of charge of the battery; η c ,η d is the charging and discharging efficiency of the battery; E b is the rated capacity of the battery; They represent the state variables of charge, During discharge are the maximum and minimum values of battery charging power respectively; are the maximum and minimum values of battery discharge power.

[0090] Frequent charging and discharging of batteries will reduce their service life, and the loss cannot be ignored. Therefore, the cost of a single use of the battery is introduced, and its cost expression is as follows:

[0091]

[0092] N=f(D)=a1D+a2D 2 -a3D+a4

[0093] Where, is the battery usage cost at time t; Pη is the product of charge and discharge power; C first represents the initial purchase cost of the battery, N represents the maximum number of cycles the battery can undergo at depth D; a1, a2, a3, and a4 are constants related to battery characteristics.

[0094] In step S4, the reserve price function is constructed as follows:

[0095] Establish the floor price function for prosumers:

[0096]

[0097] Where p gs is the grid electricity sales price, p gb The price of surplus electricity on the grid, SPC n (t) is the expected profit coefficient of electricity sales by producers and consumers.

[0098] In step S5, the distributed transaction model based on target cascade analysis theory is constructed as follows:

[0099] The upper objective function of the tradable energy model based on the target cascade analysis theory is to minimize the overall electricity purchase cost of all distributed entities:

[0100]

[0101] In the formula, x is a distributed subject object; X is the set of all distributed subjects; C g,x,t is the fuel cost of the distributed entity x at time t. If there is no gas equipment, this item is 0; is the electricity price of the power grid at time t; P xG,t is the power sold by the grid to the distributed entity x at time t; P is the price of electricity sold by the distributed entity x to the grid at time t; Gx,t is the electricity sold by the distributed entity x to the grid at time t.

[0102] The distributed entities are subject to the following constraints in terms of system operation and market behavior: power balance constraint, power purchase and sales power consistency constraint, and grid interaction power constraint, specifically as follows:

[0103]

[0104] Q yrx,t +Q dglx,t =Q hsx,t +Q xscoldx,t +L hotx,t

[0105] C xscoldx,t +C ecoldx,t =L coldx,t

[0106] P′ xy,t =P xy,t

[0107]

[0108] Where, P rfx,t 、P pvx,t 、P ecoldx,t are the gas turbine power generation, photovoltaic power generation, and refrigerator power consumption corresponding to the distributed entity x; Pxy,t , P′ xy,t is the power purchased by distributed entity x from distributed entity y at time t and its interaction variables; x P is the set of distributed entities that purchase and sell electricity with distributed entity x; yx,t P is the power purchased by distributed entity y from distributed entity x; cx,t 、P dx,t is the energy storage charging and discharging power of the distributed entity x; L x,t is the rigid electric load of the distributed body x;

[0109] Q yrx,t , Q dglx,t , Q hsx,t , Q xscoldx,t are the waste heat power of the gas turbine, the heating power of the electric boiler, the heat storage power, and the heat power consumed by the refrigerator corresponding to the distributed entity x; L hotx,t is the rigid heat load of the distributed body x;

[0110] C xscodx,t and C ecoldx,t are the cooling power of the refrigerator and the cooling power of the electric refrigerator corresponding to the distributed subject x respectively; L coldx,t is the rigid cooling load of the distributed body x.

[0111] In order to facilitate a better understanding of the present invention, a specific example is given below:

[0112] Taking a microgrid as a reference, two prosumers are set up. Prosumer 1 is equipped with photovoltaic and wind power generation equipment, and prosumer 2 is equipped with wind power generation equipment. A day is divided into 24 moments. The power generation and load of each prosumer at each moment are as follows: Figure 2 and Figure 3 As shown. Set the surplus power grid price p gb = 0.4 yuan / kWh, the grid electricity price p gs = 1.1 yuan / kWh. The minimum capacity of the battery is 5 kWh, the maximum capacity is 50 kWh, its charge and discharge efficiency is 90%, the maximum charge and discharge power is 25 kWh, the initial purchase cost C = 150,000 yuan, and the depth of discharge D = 0.2. The remaining parameters of the purchaser are shown in Table 1:

[0113] Table 1 Purchaser parameters

[0114]

[0115] By calculation, the remaining power of each producer and consumer can be obtained, such as Figure 4 As shown:

[0116] from Figure 4It can be seen that a negative electricity surplus indicates that the power generation of the prosumer cannot meet the load demand and needs to purchase electricity from the grid; if it is positive, it means that the power generation of the prosumer can meet the load demand and there is still surplus electricity, which needs to be sold.

[0117] In the electricity trading market, if the final transaction price determined by the auction mechanism is lower than the seller's reserve price, the seller will not trade its surplus electricity in the electricity market. Similarly, if the transaction price exceeds the buyer's reserve price, the buyer will not purchase electricity in the electricity market to make up for its power shortage.

[0118] Those skilled in the art will appreciate that the units of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition of each example according to its function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0119] In the embodiments provided by the present invention, it should be understood that the division of units is merely a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0120] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0121] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nly Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program code.

[0122] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A distributed transaction method based on blockchain technology and target cascade analysis, characterized in that: The following steps are involved: Construct a prosumer energy model based on the local energy-reserve market operation mechanism of the microgrid; Based on the prosumer capability model, the Nash negotiation model is constructed by considering the optimal transaction and price relationship of multiple prosumers in finding time. Considering the battery's charge and discharge efficiency and battery loss efficiency, a dynamic battery operation model is constructed; Considering the fairness of distributed transactions to buyers and sellers, a floor price model is constructed to promote fair transactions; Based on the aforementioned prosumer energy model, Nash negotiation model, battery dynamic operation model, and floor price model, we analyze the target cascade analysis theory and construct a distributed trading model based on the target cascade analysis theory. By solving this model, we can obtain a distributed trading strategy. According to the distributed transaction strategy, the producer and consumer initiates a transaction request through a digital signature. The transaction is temporarily stored in the memory pool after being verified by the node, packaged into a new block by the consensus mechanism, and broadcast to the entire network for verification. The smart contract automatically executes the settlement, triggering the payment of electricity bills or the transfer of quotas. The transaction data is encrypted and stored on the chain, and the IoT devices synchronize the power generation / consumption data to the blockchain in real time.

2. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 1 is characterized in that: The prosumer energy model is constructed as follows: Assuming there are N prosumers in the microgrid, the load of prosumer n at 24 hours a day can be expressed as: Where, represents the load of prosumer n at time t; Where, represents the power generation of the equipment of prosumer n at time t; Then the energy consumption of the prosumer at time t is: So the energy surplus of the prosumer at any time and energy deficit They are 3. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 1 is characterized in that: The Nash negotiation model is constructed as follows: Where U n (x) represents the utility of the nth PC under the allocation scheme x, represents the threat point utility of the nth prosumer; U m (x) represents the utility of the mth PC under the allocation scheme x, represents the threat point utility of the mth prosumer; x n represents the amount of resources allocated to the nth prosumer, and X represents the total amount of resources.

4. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 1 is characterized in that: The battery model is constructed as follows: Each distributed energy user is usually equipped with an energy storage battery. The operation model of the energy storage battery of the prosumer n is as follows: The state of charge, efficiency coefficient, and charge and discharge power constraints are as follows: Where, They represent the charging and discharging power of the battery at time t; SOC is the state of charge of the battery; η c ,η d is the charging and discharging efficiency of the battery; E b is the rated capacity of the battery; They represent the state variables of charge, During discharge are the maximum and minimum values of battery charging power respectively; are the maximum and minimum values of battery discharge power.

5. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 4 is characterized in that: The battery model construction also includes the fact that frequent charging and discharging of the battery will reduce its service life, and the cost of a single use of the battery is introduced. The cost expression is as follows: <h2 style=";text-align:left;direction:ltr">N = f(D) = a1D + a2D<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> -a3D+a4 Where, is the battery usage cost at time t; Pη is the product of charge and discharge power; C first represents the initial purchase cost of the battery, N represents the maximum number of cycles the battery can undergo at depth D; a1, a2, a3, and a4 are constants related to battery characteristics.

6. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 1 is characterized in that: The base price model is constructed as follows: Establish the floor price function for prosumers: Where p gs is the grid electricity sales price, p gb The price of surplus electricity on the grid, SPC n (t) is the expected profit coefficient of electricity sales by producers and consumers.

7. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 1 is characterized in that: The distributed transaction model based on target cascade analysis theory is constructed as follows: The upper objective function of the tradable energy model based on the target cascade analysis theory is to minimize the overall electricity purchase cost of all distributed entities: In the formula, x is a distributed subject object; X is the set of all distributed subjects; C g,x,t is the fuel cost of the distributed entity x at time t. If there is no gas equipment, this item is 0; is the electricity price of the power grid at time t; P xG,t is the power sold by the grid to the distributed entity x at time t; P is the electricity selling price of distributed entity x to the grid at time t; Gx,t is the power sold by the distributed entity x to the grid at time t.

8. The distributed transaction method based on blockchain technology and target cascade analysis according to claim 7 is characterized in that: The distributed entities are subject to constraints in terms of system operation and market behavior: power balance constraints, power purchase and sales consistency constraints, and grid interaction power constraints, specifically as follows: Q yrx,t +Q dglx,t =Q hsx,t +Q xscoldx,t +L hotx,t C xscoldx,t +C ecoldx,t =L coldx,t P′ xy,t =P xy,t Where, P rfx,t 、P pvx,t 、P ecoldx,t are the gas turbine power generation, photovoltaic power generation, and refrigerator power consumption corresponding to the distributed entity x; P xy,t , P′ xy,t is the power purchased by distributed entity x from distributed entity y at time t and its interaction variables; x P is the set of distributed entities that purchase and sell electricity with distributed entity x; yx,t P is the power purchased by distributed entity y from distributed entity x; cx,t 、P dx,t is the energy storage charging and discharging power of the distributed entity x; L x,t is the rigid electric load of the distributed body x; Q yrx,t , Q dglx,t , Q hsx,t , Q xscoldx,t are the waste heat power of the gas turbine, the heating power of the electric boiler, the heat storage power, and the heat power consumed by the refrigerator corresponding to the distributed entity x; L hotx,t is the rigid heat load of the distributed body x; C xscodx,t and C ecoldx,t are the cooling power of the refrigerator and the cooling power of the electric refrigerator corresponding to the distributed subject x respectively; L coldx,t is the rigid cooling load of the distributed body x.

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