CN117132313A - Low-carbon micro-energy network group multi-energy transaction method, device, equipment and storage medium - Google Patents
Low-carbon micro-energy network group multi-energy transaction method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a low-carbon micro-energy network group multi-energy transaction method, a device, equipment and a storage medium, which are used for improving the rationality and effectiveness of the low-carbon micro-energy network group multi-energy transaction. The invention comprises the following steps: initializing a multi-energy transaction price according to the multi-energy transaction process of the micro-energy network group; acquiring a first supply and demand condition of each energy source in the public micro-grid alliance through an internal cooperative game optimization operation model of the public micro-grid alliance; adopting a bamboo joint insect population evolution algorithm to obtain the external multipotent transaction price of the public micro-grid alliance; calculating second supply and demand conditions of public micro-grid alliances and private micro-grid groups by adopting a non-cooperative game optimization operation model and an external multi-energy transaction price; calculating the market multi-energy trading price of the multi-energy trading market by adopting a bamboo joint insect population evolution algorithm; judging whether the market multi-energy transaction price converges or not; and if the market multi-energy trading price is converged, taking the market multi-energy trading price as an optimal multi-energy trading price, and adopting the optimal multi-energy trading price to conduct trading settlement on the micro-energy network group.
Description
Technical Field
The invention relates to the technical field of energy transaction, in particular to a low-carbon micro-energy network group multi-energy transaction method, a device, equipment and a storage medium.
Background
In recent years, efficient energy utilization and multi-energy interconnection of micro energy networks have become a subject of intense research in the energy industry. The micro energy network can simultaneously meet the electric, heat and cold demands of a user on the load side, is essentially a single-body distributed comprehensive energy system, and is also the most important utilization mode of the current distributed comprehensive energy system. The micro energy networks in the same area form a micro energy network group, and the interaction between the energy supply and the demand causes a certain cooperation and competition relationship between the micro energy networks. How to fairly and efficiently realize the multi-energy complementation between the micro energy networks, the optimal utilization of resources and the maximization of the benefits of the micro energy networks are the problems to be solved.
At present, in the aspects of economic dispatch and marketization transaction of micro-energy network groups, domestic and foreign scholars have made some researches on the application of game theory, and mainly divided into two major categories of cooperative game and non-cooperative game. In the cooperative game, each micro energy network generates a 'cooperative value' by signing a mandatory contract, and the overall benefit of the micro network alliance is focused on, and is essentially centralized optimization. In the non-cooperative game, each micro energy network focuses on the independence of the micro energy network in the micro network cluster, so as to maximize the benefit of the micro energy network and neglect the cooperative relationship between the micro energy networks.
However, the current research generally only considers a single cooperative relationship or a single competitive relationship between micro-grids, and does not consider the situation that cooperation and competition of micro-grids exist simultaneously in the energy market. In addition, most researches only consider the electric power trade among the micro energy networks when modeling the micro energy network group, and other energy sources are often ignored to participate in the energy market and influence the electric power trade.
Disclosure of Invention
The invention provides a low-carbon micro-energy network group multi-energy transaction method, a device, equipment and a storage medium, which are used for solving the technical problems that the cooperation and competition of a micro-energy network in an energy market are not considered to exist at the same time in the prior energy transaction, and other energy sources are ignored to participate in the energy market and influence the power transaction.
The invention provides a low-carbon micro-energy network group multi-energy transaction method, which comprises the following steps:
initializing a multi-energy transaction price according to a preset multi-energy transaction process of the micro-energy network group;
acquiring a first supply and demand condition of each energy source in a public micro-grid alliance according to a multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance;
According to the first supply and demand conditions, adopting a bamboo joint insect population evolution algorithm to obtain the external multipotent transaction price of the public micro-grid alliance;
constructing a non-cooperative game optimization operation model of the public micro-grid alliance and the private micro-grid group;
calculating second supply and demand conditions of the public micro-grid alliance and the private micro-grid group by adopting the non-cooperative game optimization operation model and the external multi-energy transaction price;
calculating the market multipotent trading price of the multipotent trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition;
judging whether the market multi-energy transaction price converges or not;
if the market multi-energy trading price is not converged, taking the market multi-energy trading price as the multi-energy trading price, returning to an internal cooperative game optimization operation model according to a preset public micro-grid alliance, and acquiring first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multi-energy trading price;
and if the market multi-energy trading price is converged, taking the market multi-energy trading price as an optimal multi-energy trading price, and adopting the optimal multi-energy trading price to conduct trading settlement on the micro-energy network group.
Optionally, the micro-energy network group multi-energy transaction process includes: and the micro energy network group exchanges energy with an external public energy network and exchanges energy inside the micro energy network group.
Optionally, the objective function of the internal cooperative game optimization operation model of the public micro-grid alliance is as follows:
；
wherein,is the daily total operation cost of the public micro-grid alliance;
；
wherein,、/>price for buying and selling electric power from and to the external electric network at time t for public micro-network alliance, respectively,/->Is the price of the public micro-grid alliance to purchase natural gas from the external natural gas network, +.>、And->The public micro-grid alliance purchases or sells electric power, thermal power and cold power of energy from an external energy network at the time t respectively;
；
wherein,、/>and->Respectively, electric energy and heat in the multi-energy trading marketThe energy and the price of the cold energy,、/>and->The public micro-grid alliance buys and sells electric energy, heat energy and cold energy from a multi-energy trading market;
the constraint conditions of the objective function comprise cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance, integral cold-hot electric power balance constraint in the public micro-grid alliance and power constraint and capacity constraint suffered by each device in the regulation and control receiving period;
the cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance is as follows:
；
wherein,、/>and->The electric power, the thermal power and the cold power of the ith micro energy network in the public micro network alliance at the time t are respectively +. >Is new energy power generation, < >>And->Electric power and thermal power, respectively, of a micro gas turbine>、/>And->The output power of the electricity storage device, the heat storage device and the cold storage device respectively,、/>and->Electric load power, thermal load power, cold load power, respectively, of the micro-energy network, +.>For the output of the gas boiler, < >>For the output of the electric boiler, +.>Is the output power of the compression refrigerator;
the overall cold-hot electric power balance constraint inside the public micro-grid alliance is as follows:
；
the power and capacity constraints that the devices are subject to during regulatory periods are:
；
wherein,and->Maximum operating power and minimum operating power of the respective devices, respectively,/->Representing the energy stored in the kth energy storage device at time t, < >>And->Representing the maximum capacity and the minimum capacity of the energy storage device, respectively.
Optionally, in the non-cooperative game optimization operation model of the public micro-network alliance and the private micro-network group, the step of non-cooperative game includes:
under the condition of not participating in the multi-energy transaction process, obtaining an energy basic quotation obtained by calculating the public micro-grid alliance according to the operation cost;
the private micro-grid group adjusts the output of private equipment according to the energy basic quotation and responds according to the energy demand of the multi-energy trading market;
And the public micro-grid alliance adjusts the output of public equipment according to the energy demand of the multi-energy trading market, and adjusts the energy price of the multi-energy trading market according to the yield of the public equipment.
The invention also provides a low-carbon micro-energy network group multi-energy transaction device, which comprises:
the multi-energy transaction price initializing module is used for initializing the multi-energy transaction price according to a preset multi-energy transaction process of the micro-energy network group;
the first supply and demand condition acquisition module is used for acquiring the first supply and demand condition of each energy source in the public micro-grid alliance according to the multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance;
the external multi-energy transaction price obtaining module is used for obtaining the external multi-energy transaction price of the public micro-grid alliance by adopting a bamboo joint insect population evolution algorithm according to the first supply and demand condition;
the non-cooperative game optimization operation model construction module is used for constructing a non-cooperative game optimization operation model of the public micro-grid alliance and the private micro-grid group;
the second supply and demand condition calculation module is used for calculating the second supply and demand conditions of the public micro-grid alliance and the private micro-grid group by adopting the non-cooperative game optimization operation model and the external multi-energy transaction price;
The market multi-energy trading price calculation module is used for calculating the market multi-energy trading price of the multi-energy trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition;
the convergence judging module is used for judging whether the market multi-energy transaction price converges or not;
the return module is used for taking the market multipotent trading price as the multipotent trading price if the market multipotent trading price is not converged, and returning to an internal cooperative game optimization operation model according to a preset public micro-grid alliance, and acquiring the first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multipotent trading price;
and the transaction settlement module is used for taking the market multipotency transaction price as an optimal multipotency transaction price if convergence is carried out, and carrying out transaction settlement on the micro-energy network group by adopting the optimal multipotency transaction price.
Optionally, the micro-energy network group multi-energy transaction process includes: and the micro energy network group exchanges energy with an external public energy network and exchanges energy inside the micro energy network group.
Optionally, the objective function of the internal cooperative game optimization operation model of the public micro-grid alliance is as follows:
；
wherein,is the daily total operation cost of the public micro-grid alliance;
；
Wherein,、/>price for buying and selling electric power from and to the external electric network at time t for public micro-network alliance, respectively,/->Is the price of the public micro-grid alliance to purchase natural gas from the external natural gas network, +.>、And->The public micro-grid alliance purchases or sells electric power, thermal power and cold power of energy from an external energy network at the time t respectively;
；
wherein,、/>and->The prices of electric energy, heat energy and cold energy in the multi-energy trade market respectively,、/>and->Is a public micro-grid alliance from a multi-energy transaction marketBuying and selling power of electric energy, heat energy and cold energy;
the constraint conditions of the objective function comprise cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance, integral cold-hot electric power balance constraint in the public micro-grid alliance and power constraint and capacity constraint suffered by each device in the regulation and control receiving period;
the cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance is as follows:
；
wherein,、/>and->The electric power, the thermal power and the cold power of the ith micro energy network in the public micro network alliance at the time t are respectively +.>Is new energy power generation, < >>And->Electric power and thermal power, respectively, of a micro gas turbine>、/>And->The output power of the electricity storage device, the heat storage device and the cold storage device respectively, 、/>And->Electric load power, thermal load power, cold load power, respectively, of the micro-energy network, +.>For the output of the gas boiler, < >>For the output of the electric boiler, +.>Is the output power of the compression refrigerator;
the overall cold-hot electric power balance constraint inside the public micro-grid alliance is as follows:
；
the power and capacity constraints that the devices are subject to during regulatory periods are:
；
wherein,and->Maximum operating power and minimum operating power of the respective devices, respectively,/->Representing the energy stored in the kth energy storage device at time t, < >>And->Representing the maximum capacity and the minimum capacity of the energy storage device, respectively.
Optionally, in the non-cooperative game optimization operation model of the public micro-network alliance and the private micro-network group, the non-cooperative game module includes:
the energy foundation quotation calculation sub-module is used for obtaining the energy foundation quotation calculated by the public micro-grid alliance according to the operation cost under the condition of not participating in the multi-energy transaction process;
the private equipment output adjusting sub-module is used for adjusting the private equipment output of the private micro-grid group according to the energy basic quotation and responding according to the energy demand of the multi-energy trading market;
and the energy price adjustment sub-module is used for adjusting the public equipment output by the public micro-grid alliance according to the energy demand of the multi-energy trading market and adjusting the energy price of the multi-energy trading market according to the yield of the public equipment.
The invention also provides an electronic device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the low-carbon micro-energy net group multi-energy transaction method according to any one of the above according to the instructions in the program code.
The invention also provides a computer readable storage medium for storing program code for performing the low-carbon micro-energy web farm multi-energy transaction method as described in any of the above.
From the above technical scheme, the invention has the following advantages: the invention discloses a low-carbon micro-energy network group multi-energy transaction method, which is characterized in that a multi-energy transaction price is initialized according to a preset micro-energy network group multi-energy transaction process; acquiring a first supply and demand condition of each energy source in the public micro-grid alliance according to the multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance; according to the first supply and demand condition, adopting a bamboo joint insect population evolution algorithm to obtain the external multipotent transaction price of the public micro-grid alliance; constructing a non-cooperative game optimization operation model of public micro-grid alliance and private micro-grid group; calculating second supply and demand conditions of public micro-grid alliances and private micro-grid groups by adopting a non-cooperative game optimization operation model and an external multi-energy transaction price; calculating the market multi-energy trading price of the multi-energy trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition; judging whether the market multi-energy transaction price converges or not; if the market multi-energy trading price is not converged, taking the market multi-energy trading price as a multi-energy trading price, and returning to an internal cooperative game optimization operation model according to a preset public micro-grid alliance, and acquiring first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multi-energy trading price; and if the market multi-energy trading price is converged, taking the market multi-energy trading price as an optimal multi-energy trading price, and adopting the optimal multi-energy trading price to conduct trading settlement on the micro-energy network group. The transaction price calculation under the conditions that cooperation and competition of the micro energy network exist simultaneously and multiple energy sources participate is realized, so that the optimal energy source transaction price is obtained, the resource utilization rate among the micro energy network groups is promoted, and the total running cost of the micro energy network groups is effectively reduced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of steps of a method for multi-energy transaction of a low-carbon micro-energy network group according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a micro-energy net group multi-energy transaction process;
FIG. 3 is a schematic diagram of an internal collaborative gaming optimization run model for a public micro-grid alliance;
FIG. 4 is a schematic diagram of a process of adopting a bamboo joint insect population evolution algorithm to calculate the price of the external multi-energy transaction of the public micro-grid alliance;
FIG. 5 is a schematic diagram of a non-cooperative game optimization run model of public and private micro-grid alliances;
FIG. 6 is a graph of predicted cold, hot, electrical loads and wind and solar generated power for each micro energy grid on a typical day;
FIG. 7 is a schematic diagram of a cost iterative gaming process for public micro-nets, micro-energy nets IEM.D and IEM.E;
Fig. 8 is a block diagram of a low-carbon micro-energy network group multi-energy transaction device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a low-carbon micro-energy network group multi-energy transaction method, device, equipment and storage medium, which are used for solving the technical problems that the cooperation and competition of micro-energy networks in an energy market are not considered to exist at the same time in the prior energy transaction, and other energy sources are ignored to participate in the energy market and influence the power transaction.
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of a low-carbon micro-energy network group multi-energy transaction method according to an embodiment of the invention.
The invention provides a low-carbon micro-energy network group multi-energy transaction method, which specifically comprises the following steps:
step 101, initializing a multi-energy transaction price according to a preset multi-energy transaction process of a micro-energy network group;
in the embodiment of the invention, the participation main bodies of the multi-energy trading market are public micro-network alliances and independent private micro-networks; in the multi-energy trading market composed of micro energy network groups, each independent micro energy network is connected with each other through a power grid, a gas network and a cold and hot pipe network, and energy complementation and benefit conflict exist between the independent micro energy networks; each micro energy network is provided with a certain proportion of new energy power generation equipment and energy conversion and energy storage equipment, and the types and the quantity of the provided energy sources can be flexibly selected according to the requirements of customers; each micro energy network can be used as an energy user of a multi-energy trading market, an energy supplier and an energy operator.
In one example, as shown in fig. 2, fig. 2 is a schematic diagram of a micro-energy net group multi-energy transaction process; the micro energy network group multi-energy transaction process comprises the following steps: and the micro energy network group exchanges energy with an external public energy network and exchanges energy inside the micro energy network group.
The energy transaction of the micro energy network group and the external public energy network is a first stage, mainly the micro energy network group and the external public energy network conduct various energy transactions such as electricity, gas and the like, and specifically comprises the following steps: the energy buying and selling price of the superior energy network is fixed, and the micro energy network group purchases and sells electric power from the power grid or purchases natural gas through the natural gas network.
The second stage of energy transaction in the micro energy network group mainly is to buy and sell corresponding energy among the micro energy networks according to the transaction rules set by the multi-energy market transaction platform so as to reduce the self cost.
The multi-energy trading price of the multi-energy trading market can be initialized through the multi-energy trading process of the micro-energy network group.
Step 102, obtaining a first supply and demand condition of each energy source in a public micro-grid alliance according to a multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance;
the public micro-grid alliance refers to a combination of a plurality of micro-energy networks.
FIG. 3 is a schematic diagram of an internal collaborative gaming optimization run model of a public micro-grid alliance, as shown in FIG. 3; in the internal cooperative game optimization operation model, the public micro-grid alliance unifies the scheduling of each internal micro-energy grid, including the purchase and sale of energy from the outside and the power of various internal devices; in the public micro-grid alliance, unconditional interaction among multiple energy sources (cold, heat and electricity) is carried out, the public micro-grid alliance takes the lowest daily running cost as an optimization target, and the objective function is as follows:
（1）
wherein,is the daily total operation cost of the public micro-grid alliance; / >The method comprises the steps of purchasing electricity from a power grid and selling electricity by a public micro-grid alliance, and purchasing natural gas from a natural gas network, wherein the cost is specifically as follows:
（2）
wherein,、/>price for buying and selling electric power from and to the external electric network at time t for public micro-network alliance, respectively,/->Is the price of the public micro-grid alliance to purchase natural gas from the external natural gas network, +.>、And->The public micro-grid consortium purchases or sells electric power, thermal power and cold power of energy from an external energy network at the time t respectively.
The method comprises the steps of purchasing the cost of the cold, the heat and the electric energy and selling the income of the cold, the heat and the electric energy in a multi-energy trading market by a public micro-grid alliance, and specifically comprises the following steps:
（3）
wherein,、/>and->The prices of electric energy, heat energy and cold energy in the multi-energy trade market respectively,、/>and->The public micro-grid alliance buys and sells electric energy, heat energy and cold energy from a multi-energy trading market;
the constraint conditions of the objective function comprise the cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance, the whole cold-hot electric power balance constraint inside the public micro-grid alliance and the power constraint and capacity constraint of each device in the regulation and control receiving period;
the cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance is as follows:
（4）
Wherein,、/>and->The electric power, the thermal power and the cold power of the ith micro energy network in the public micro network alliance at the time t are respectively +.>Is new energy power generation, < >>And->Electric power and thermal power, respectively, of a micro gas turbine>、/>And->The output power of the electricity storage device, the heat storage device and the cold storage device respectively,、/>and->Electric load power, thermal load power, cold load power, respectively, of the micro-energy network, +.>For the output of the gas boiler, < >>For the output of the electric boiler, +.>Is the output power of the compression refrigerator;
the overall cold-hot electric power balance constraint inside the public micro-grid alliance is as follows:
（5）
the power and capacity constraints that each device receives during regulatory periods are:
（6）
wherein,and->Maximum operating power and minimum operating power of the respective devices, respectively,/->Representing the energy stored in the kth energy storage device at time t, < >>And->Representing the maximum capacity and the minimum capacity of the energy storage device, respectively.
In addition, the cooperation benefit among the micro-networks in the public micro-network alliance mainly comes from the utilization of residual energy sources and unified scheduling of the alliance, the former avoids the price difference of transaction with an external energy network, and the latter reduces part of energy conversion process and improves the energy utilization efficiency;
The collaborative gain expression inside the public micro-grid alliance is:
（7）
wherein,for the benefit of public micro-network alliance cooperation, < ->The method has the advantages that the operation cost that each micro energy network in the public micro-grid alliance participates in the multi-energy trading market independently is expressed, the cooperation benefit among the micro energy networks in the public micro-grid alliance mainly comes from the utilization of residual energy in the public micro-grid alliance and unified scheduling of the alliance, the former avoids the price difference of trading with the external energy network, and the latter reduces part of energy conversion process and improves the energy utilization efficiency;
the specific formula for completing the distribution of the cooperative interests in the public micro-grid alliance is as follows:
（8）
wherein,representing the ith micro energy source network slave +.>The obtained benefits after the distribution are n is the number of micro energy networks in the public micro network alliance;
（9）
wherein,representing all public micro-grid alliance subsets with ith micro-energy grid, +.>Weight factors representing public micro-grid alliance subsets, i.e. allocation factors, < >>Representing the number of micro energy networks in a public micro network alliance subset +.>Andindicating the benefits generated by the sub-consortium with and without the ith micro-energy net,/->Representing the marginal contribution of the ith micro energy net.
According to the multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance, the first supply and demand conditions of each energy source in the public micro-grid alliance can be obtained.
Step 103, according to the first supply and demand condition, adopting a bamboo joint insect population evolution algorithm to obtain the external multipotent transaction price of the public micro-grid alliance;
after the first supply and demand conditions of each energy source in the public micro-grid alliance are obtained, a bamboo joint insect population evolution algorithm (Phasmatodea population evolution algorithm, PPE) can be adopted to calculate the external multi-energy transaction price of the public micro-grid alliance.
The mathematical model of the bamboo joint insect population evolution algorithm can be described as follows:
（10）
where r is the current iteration number,、/>and->Representing the position, growth rate and growth direction of the jth individual of the r generation;
the update conditions of the evolution trend of the bamboo joint insect population are as follows:
（11）
wherein,optimal solution generated for each iteration, +.>、/>、/>、/>、/>Is a random parameter of evolution, inheritance and mutation of an individual, < - > a->Is the evolution trend of the bamboo joint insect population when the iteration number is r.
In one example, the process of using the bamboo joint worm population evolution algorithm to calculate the price of the external multi-energy transaction of the public micro-grid alliance may be as shown in fig. 4. The process is used for solving the external multi-energy trading price of the public micro-grid alliance by combining the bamboo joint insect population evolution algorithm with the balance constraint method.
The process of the equilibrium constraint method comprises the following steps:
1. Inputting public micro-grid alliance energy foundation quotation based on operation cost;
2. each micro energy network in the private micro-grid group participates in a demand response based on energy supply so as to optimize the energy demand and the equipment power of each micro energy network;
3. the public micro-grid alliance optimizes the output and the power according to the energy demand and provides new quotations;
4. judging whether balance is achieved; if not, returning to the step 2; if yes, outputting the price of the external multi-energy transaction.
104, constructing a non-cooperative game optimization operation model of a public micro-grid alliance and a private micro-grid group;
FIG. 5 is a schematic diagram of a non-cooperative game optimization run model of public and private micro-grid federations, as shown in FIG. 5. The non-cooperative game optimization operation model of the public micro-grid alliance and the private micro-grid group takes the public micro-grid alliance as a followed person and each micro-energy network in the private micro-grid group as a followed person; the decision variable of the follower is the buying and selling price of the cold and hot electric energy within 24 hours, and the decision variable of the follower is the transaction amount of the cold and hot electric energy within 24 hours; the follower still takes the daily running cost of the whole alliance as an optimization target, as shown in the formulas (1) - (3), the follower respectively takes the daily running cost as the optimization target, the objective function is similar to the formulas (1) - (3), and the study object is only required to be changed from the public micro-grid alliance to a single micro-energy network in the private micro-grid group. The constraint conditions of the followers are shown in the formulas (4) - (6), and the constraint conditions of the followers are similar to the formulas (4) and (6), and only the objects in the two formulas are required to be changed from the public micro-grid alliance to a single micro-energy grid in the private micro-grid group.
The non-cooperative game optimization operation model of the public micro-grid alliance and the private micro-grid group can be described as follows:
（14）
wherein,representing the daily operation cost of the ith micro energy network in the private micro network group;
a) Objective function: the follower still takes the daily running cost of the minimum whole alliance as an optimization target, as shown in the formulas (1) - (3), the follower respectively takes the daily running cost as the optimization target, the objective function is similar to the formulas (1) - (3), and the study object is only required to be changed from the public micro-grid alliance to a single micro-energy network in the private micro-grid group;
b) Constraint conditions: the constraint conditions of the followers are shown in the formulas (4) - (6), and the constraint conditions of the followers are similar to the formulas (4) and (6), and only the objects in the two formulas are required to be changed from the public micro-grid alliance to a single micro-energy grid in the private micro-grid group;
c) Participants: the public micro-grid alliance is taken as a followed person, each micro-energy network in the private micro-grid group is taken as a followed person, and the collection of the participants is expressed as；
d) Decision variables: the decision variable of the follower is the buying and selling price of the cold and hot electric energy in 24 hours, the decision variable of the follower is the transaction amount of the cold and hot electric energy in 24 hours, and the decision variable is the transaction amount of the cold and hot electric energy in 24 hours, and the transaction amount is respectively expressed as a vector form And->；
e) Solution is unique: balancing solutionHas uniqueness.
In the embodiment of the invention, in a non-cooperative game optimization operation model of a public micro-network alliance and a private micro-network group, the non-cooperative game comprises the following steps:
s1, under the condition of not participating in a multi-energy transaction process, acquiring an energy basic quotation obtained by calculating the public micro-grid alliance according to the operation cost;
s2, the private micro-grid group adjusts the output of private equipment according to the energy basic quotation and responds according to the energy demand of the multi-energy trading market;
and S3, the public micro-grid alliance adjusts the output of public equipment according to the energy demand of the multi-energy trading market, and adjusts the energy price of the multi-energy trading market according to the yield of the public equipment.
The corresponding formula is as follows:
（12）
wherein,the energy price set by the public micro-grid alliance in the multi-energy trading market at the moment t is represented,e, h and c respectively represent three energy sources of electricity, heat and cold, and are added with->Energy base price for a multi-energy trading market, < ->Andis an energy price factor->。
Then repeating the steps S2 and S3 until the multi-energy transaction price converges; the convergence conditions were:
（13）
wherein,for convergence tolerance, let go of>Is->The next obtained multi-energy transaction price.
Step 105, calculating the second supply and demand conditions of the public micro-grid alliance and the private micro-grid group by adopting a non-cooperative game optimization operation model and an external multi-energy transaction price;
And then calculating the second supply and demand conditions of the public micro-grid alliance and the private micro-grid group by adopting a non-cooperative game optimization operation model and an external multi-energy transaction price.
Step 106, calculating the market multi-energy trading price of the multi-energy trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition;
and then calculating the market multipotent trading price of the multipotent trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition.
Step 107, judging whether the market multi-energy transaction price converges or not;
step 108, if the market multi-energy transaction price is not converged, taking the market multi-energy transaction price as a multi-energy transaction price, and returning to an internal cooperative game optimization operation model according to a preset public micro-grid alliance, and acquiring the first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multi-energy transaction price;
and step 109, if the market multi-energy trading price is converged, taking the market multi-energy trading price as an optimal multi-energy trading price, and adopting the optimal multi-energy trading price to conduct trade settlement on the micro-energy network group.
The invention discloses a low-carbon micro-energy network group multi-energy transaction method, which is characterized in that a multi-energy transaction price is initialized according to a preset micro-energy network group multi-energy transaction process; acquiring a first supply and demand condition of each energy source in the public micro-grid alliance according to the multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance; according to the first supply and demand condition, adopting a bamboo joint insect population evolution algorithm to obtain the external multipotent transaction price of the public micro-grid alliance; constructing a non-cooperative game optimization operation model of public micro-grid alliance and private micro-grid group; calculating second supply and demand conditions of public micro-grid alliances and private micro-grid groups by adopting a non-cooperative game optimization operation model and an external multi-energy transaction price; calculating the market multi-energy trading price of the multi-energy trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition; judging whether the market multi-energy transaction price converges or not; if the market multi-energy trading price is not converged, taking the market multi-energy trading price as a multi-energy trading price, and returning to an internal cooperative game optimization operation model according to a preset public micro-grid alliance, and acquiring first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multi-energy trading price; and if the market multi-energy trading price is converged, taking the market multi-energy trading price as an optimal multi-energy trading price, and adopting the optimal multi-energy trading price to conduct trading settlement on the micro-energy network group. The transaction price calculation under the conditions that cooperation and competition of the micro energy network exist simultaneously and multiple energy sources participate is realized, so that the optimal energy source transaction price is obtained, the resource utilization rate among the micro energy network groups is promoted, and the total running cost of the micro energy network groups is effectively reduced.
For ease of understanding, embodiments of the present invention are described below with reference to examples:
and selecting an area comprehensive energy micro-grid cluster as a research object to carry out simulation experiments. The area comprises five micro-energy networks, wherein the public micro-network alliance has three micro-energy networks (A, B, C), and the private micro-network group has two micro-energy networks (D, E). The electricity and natural gas prices for the external energy network are shown in table 1. The prediction curves of the cold, heat, electric load and wind-solar generated power of each micro energy network on a typical day are shown in fig. 6.
Table 1: electric and natural gas prices for external energy networks
Setting a multi-energy transaction process of the micro-energy network group by taking the data in the table 1 and the data in the table 6 as basic parameters of the system, and initializing a multi-energy transaction price; using a public micro-grid alliance internal cooperative game optimization operation model to obtain supply and demand conditions of various members in the public micro-grid alliance according to the multi-energy transaction price; iterative optimization is carried out by using a meta-heuristic algorithm (a bamboo joint insect population optimization algorithm) to obtain the external multi-energy transaction price of the public micro-grid alliance; using a public micro-grid alliance and private micro-grid group non-cooperative game optimization operation model to equivalent the public micro-grid alliance into a micro-grid and outputting supply and demand conditions of various energy sources in all the micro-grids; iterative optimization is carried out by using a meta-heuristic algorithm, the multi-energy trading price of the multi-energy trading market is obtained, and the price is fed back to the multi-energy trading process; and repeating iteration until the dynamic game processes of the public micro-grid alliance and the private micro-grid group are converged, and finally obtaining the optimal multi-energy transaction price and the micro-energy grid group optimal operation scheme under the price, and performing transaction settlement on the micro-grid group according to the optimal multi-energy transaction price after the micro-energy grid group operates according to the scheme.
The cost iterative game process of the public micro-grid, the micro-energy grid iem.d and the micro-energy grid iem.e is shown in fig. 7. As can be seen from the figure, the three start to stabilize around 15 th generation and substantially converge around 25 th generation. The above changes reflect the gaming process of multi-energy interactions within the micro-grid. When the balance of the Stackelberg is achieved, any participant cannot obtain greater benefit by changing his own strategy alone, nor is the game strategy changed. Finally, the public micro-grid alliance costs 112099.0 yuan, and the private micro-grid groups costs 47398.0 yuan and 27453.9 yuan, respectively, of iem.d and iem.e.
In order to verify the rationality and feasibility of the embodiments of the invention, the following comparative tests were set up: the original scheme is as follows: all the micro energy networks independently operate and only interact with the external energy network, so that a multi-energy transaction market does not exist. Table 2 shows the results of the operation of the micro-grid clusters under two different operating schemes (negative values represent benefits).
Table 2: comparison of operation results of micro energy network groups under different operation schemes
As can be seen from table 2, the participation of each micro-energy net in the multi-energy trading market has made the micro-energy net clusters intimately linked to the interactions of electricity, heat, and cold. The total operation cost of the micro energy network is reduced by 12.9 percent. The cost of the public micro-grid alliance is reduced by 7.2 percent. The cost of iem.d and iem.e in the private micro-grid cluster is reduced by 15.8% and 27.0%, respectively.
The data in table 2 verifies that the present embodiment possesses a certain feasibility and effectiveness.
Referring to fig. 8, fig. 8 is a block diagram of a low-carbon micro-energy network group multi-energy transaction device according to an embodiment of the invention.
The embodiment of the invention provides a low-carbon micro-energy network group multi-energy transaction device, which comprises:
the multi-energy transaction price initializing module 801 is configured to initialize a multi-energy transaction price according to a preset multi-energy transaction process of the micro-energy network group;
a first supply and demand situation obtaining module 802, configured to obtain a first supply and demand situation of each energy source in the public micro-grid alliance according to the multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance;
the external multi-energy transaction price obtaining module 803 is configured to obtain an external multi-energy transaction price of the public micro-grid alliance by adopting a bamboo joint insect population evolution algorithm according to the first supply and demand condition;
the non-cooperative game optimization operation model construction module 804 is configured to construct a non-cooperative game optimization operation model of a public micro-grid alliance and a private micro-grid group;
a second supply and demand situation calculation module 805, configured to calculate a second supply and demand situation of the public micro-grid alliance and the private micro-grid group by using the non-cooperative game optimization operation model and the external multi-energy transaction price;
The market multi-energy trading price calculation module 806 is configured to calculate a market multi-energy trading price of the multi-energy trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand situation;
a convergence determination module 807 configured to determine whether the market multi-energy transaction price converges;
a return module 808, configured to take the market multi-energy transaction price as a multi-energy transaction price if the market multi-energy transaction price is not converged, and return to the internal cooperation game optimization operation model according to the preset public micro-grid alliance, and obtain the first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multi-energy transaction price;
and the transaction settlement module 809 is used for taking the market multi-energy transaction price as the optimal multi-energy transaction price if convergence, and adopting the optimal multi-energy transaction price to perform transaction settlement on the micro-energy network group.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a memory:
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is used for executing the low-carbon micro-energy network group multi-energy transaction method according to the instructions in the program codes.
The embodiment of the invention also provides a computer readable storage medium, which is used for storing program codes, and the program codes are used for executing the low-carbon micro-energy network group multi-energy transaction method.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A low-carbon micro-energy network group multi-energy transaction method is characterized by comprising the following steps:
initializing a multi-energy transaction price according to a preset multi-energy transaction process of the micro-energy network group;
acquiring a first supply and demand condition of each energy source in a public micro-grid alliance according to a multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance;
according to the first supply and demand conditions, adopting a bamboo joint insect population evolution algorithm to obtain the external multipotent transaction price of the public micro-grid alliance;
constructing a non-cooperative game optimization operation model of the public micro-grid alliance and the private micro-grid group;
calculating second supply and demand conditions of the public micro-grid alliance and the private micro-grid group by adopting the non-cooperative game optimization operation model and the external multi-energy transaction price;
calculating the market multipotent trading price of the multipotent trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition;
judging whether the market multi-energy transaction price converges or not;
if the market multi-energy trading price is not converged, taking the market multi-energy trading price as the multi-energy trading price, returning to an internal cooperative game optimization operation model according to a preset public micro-grid alliance, and acquiring first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multi-energy trading price;
And if the market multi-energy trading price is converged, taking the market multi-energy trading price as an optimal multi-energy trading price, and adopting the optimal multi-energy trading price to conduct trading settlement on the micro-energy network group.
2. The method of claim 1, wherein the micro-energy web farm multi-energy transaction process comprises: and the micro energy network group exchanges energy with an external public energy network and exchanges energy inside the micro energy network group.
3. The method of claim 1, wherein the objective function of the internal collaborative gaming optimization operation model of the public micro-grid consortium is:
；
wherein,is the daily total operation cost of the public micro-grid alliance;
；
wherein,、/>price for buying and selling electric power from and to the external electric network at time t for public micro-network alliance, respectively,/->Is the price of the public micro-grid alliance to purchase natural gas from the external natural gas network, +.>、/>Andthe public micro-grid alliance purchases or sells electric power, thermal power and cold power of energy from an external energy network at the time t respectively;
；
wherein,、/>and->Price of electric energy, heat energy and cold energy in the multi-energy trade market respectively, +.>、And->The public micro-grid alliance buys and sells electric energy, heat energy and cold energy from a multi-energy trading market;
The constraint conditions of the objective function comprise cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance, integral cold-hot electric power balance constraint in the public micro-grid alliance and power constraint and capacity constraint suffered by each device in the regulation and control receiving period;
the cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance is as follows:
；
wherein,、/>and->The electric power, the thermal power and the cold power of the ith micro energy network in the public micro network alliance at the time t are respectively +.>Is new energy power generation, < >>And->Electric power and thermal power, respectively, of a micro gas turbine>、/>And->The output power of the electricity storage device, the heat storage device and the cold storage device respectively,、/>and->Electric load power, thermal load power, cold load power, respectively, of the micro-energy network, +.>For the output of the gas boiler, < >>For the output of the electric boiler, +.>Is the output power of the compression refrigerator;
the overall cold-hot electric power balance constraint inside the public micro-grid alliance is as follows:
；
the power and capacity constraints that the devices are subject to during regulatory periods are:
；
wherein,and->Maximum operating power and minimum operating power of the respective devices, respectively,/->Representing the energy stored in the kth energy storage device at time t, < > >And->Representing the maximum capacity and the minimum capacity of the energy storage device, respectively.
4. The method of claim 1, wherein in the non-cooperative game optimization model of public and private micro-net alliances, the step of non-cooperative game comprises:
under the condition of not participating in the multi-energy transaction process, obtaining an energy basic quotation obtained by calculating the public micro-grid alliance according to the operation cost;
the private micro-grid group adjusts the output of private equipment according to the energy basic quotation and responds according to the energy demand of the multi-energy trading market;
and the public micro-grid alliance adjusts the output of public equipment according to the energy demand of the multi-energy trading market, and adjusts the energy price of the multi-energy trading market according to the yield of the public equipment.
5. A low-carbon micro-energy net group multi-energy transaction device, which is characterized by comprising:
the multi-energy transaction price initializing module is used for initializing the multi-energy transaction price according to a preset multi-energy transaction process of the micro-energy network group;
the first supply and demand condition acquisition module is used for acquiring the first supply and demand condition of each energy source in the public micro-grid alliance according to the multi-energy transaction price and a preset internal cooperative game optimization operation model of the public micro-grid alliance;
The external multi-energy transaction price obtaining module is used for obtaining the external multi-energy transaction price of the public micro-grid alliance by adopting a bamboo joint insect population evolution algorithm according to the first supply and demand condition;
the non-cooperative game optimization operation model construction module is used for constructing a non-cooperative game optimization operation model of the public micro-grid alliance and the private micro-grid group;
the second supply and demand condition calculation module is used for calculating the second supply and demand conditions of the public micro-grid alliance and the private micro-grid group by adopting the non-cooperative game optimization operation model and the external multi-energy transaction price;
the market multi-energy trading price calculation module is used for calculating the market multi-energy trading price of the multi-energy trading market by adopting a bamboo joint insect population evolution algorithm according to the second supply and demand condition;
the convergence judging module is used for judging whether the market multi-energy transaction price converges or not;
the return module is used for taking the market multipotent trading price as the multipotent trading price if the market multipotent trading price is not converged, and returning to an internal cooperative game optimization operation model according to a preset public micro-grid alliance, and acquiring the first supply and demand conditions of each energy source in the public micro-grid alliance by adopting the multipotent trading price;
And the transaction settlement module is used for taking the market multipotency transaction price as an optimal multipotency transaction price if convergence is carried out, and carrying out transaction settlement on the micro-energy network group by adopting the optimal multipotency transaction price.
6. The apparatus of claim 5, wherein the micro-energy web farm multi-energy transaction process comprises: and the micro energy network group exchanges energy with an external public energy network and exchanges energy inside the micro energy network group.
7. The apparatus of claim 5, wherein the objective function of the internal collaborative gaming optimization model of the public micro-grid consortium is:
；
wherein,is the daily total operation cost of the public micro-grid alliance;
；
wherein,、/>price for buying and selling electric power from and to the external electric network at time t for public micro-network alliance, respectively,/->Is the price of the public micro-grid alliance to purchase natural gas from the external natural gas network, +.>、/>Andthe public micro-grid alliance purchases or sells electric power, thermal power and cold power of energy from an external energy network at the time t respectively;
；
wherein,、/>and->Price of electric energy, heat energy and cold energy in the multi-energy trade market respectively, +.>、/>And->Is a public micro-grid alliance from multi-energy exchange The power of electric energy, heat energy and cold energy is easy to market and sell;
the constraint conditions of the objective function comprise cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance, integral cold-hot electric power balance constraint in the public micro-grid alliance and power constraint and capacity constraint suffered by each device in the regulation and control receiving period;
the cold-hot electric power balance constraint of each micro-grid in the public micro-grid alliance is as follows:
；
wherein,、/>and->The electric power, the thermal power and the cold power of the ith micro energy network in the public micro network alliance at the time t are respectively +.>Is new energy power generation, < >>And->Electric power and thermal power, respectively, of a micro gas turbine>、/>And->The output power of the electricity storage device, the heat storage device and the cold storage device respectively,、/>and->Electric load power, thermal load power, cold load power, respectively, of the micro-energy network, +.>For the output of the gas boiler, < >>For the output of the electric boiler, +.>Is the output power of the compression refrigerator;
the overall cold-hot electric power balance constraint inside the public micro-grid alliance is as follows:
；
the power and capacity constraints that the devices are subject to during regulatory periods are:
；
wherein,and->Maximum operating power and minimum operating power of the respective devices, respectively,/- >Representing the energy stored in the kth energy storage device at time t, < >>And->Representing the maximum capacity and the minimum capacity of the energy storage device, respectively.
8. The apparatus of claim 5, wherein in the non-cooperative game optimization run model of the public and private micro-net alliance, the non-cooperative game module comprises:
the energy foundation quotation calculation sub-module is used for obtaining the energy foundation quotation calculated by the public micro-grid alliance according to the operation cost under the condition of not participating in the multi-energy transaction process;
the private equipment output adjusting sub-module is used for adjusting the private equipment output of the private micro-grid group according to the energy basic quotation and responding according to the energy demand of the multi-energy trading market;
and the energy price adjustment sub-module is used for adjusting the public equipment output by the public micro-grid alliance according to the energy demand of the multi-energy trading market and adjusting the energy price of the multi-energy trading market according to the yield of the public equipment.
9. An electronic device, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
The processor is configured to execute the low-carbon micro-energy web farm multi-energy transaction method of any of claims 1-4 according to instructions in the program code.
10. A computer readable storage medium for storing program code for performing the low carbon micro energy grid cluster multi-energy transaction method of any one of claims 1-4.
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