CN110991928B - Energy management method and system for comprehensive energy system of multiple micro energy networks - Google Patents

Energy management method and system for comprehensive energy system of multiple micro energy networks Download PDF

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CN110991928B
CN110991928B CN201911307582.7A CN201911307582A CN110991928B CN 110991928 B CN110991928 B CN 110991928B CN 201911307582 A CN201911307582 A CN 201911307582A CN 110991928 B CN110991928 B CN 110991928B
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microgrid
tau
alliance
parameters
federation
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CN110991928A (en
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刘念
潘明夷
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State Grid Jiangxi Electric Power Co ltd
State Grid Corp of China SGCC
North China Electric Power University
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State Grid Jiangxi Electric Power Co ltd
State Grid Corp of China SGCC
North China Electric Power University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a comprehensive energy system energy management method and system of a multi-micro energy network. Firstly, acquiring operation parameters of each microgrid in an integrated energy system; establishing an operation cost model of the alliance in a cooperation mode and an independent mode according to the operation parameters, and further establishing a utility function; the utility function is maximized by optimizing the model parameters to obtain optimized parameters; controlling the operation of each microgrid in the alliance according to the optimized parameters; and distributing the income obtained by each microgrid in the alliance according to the utility function. The method combines the electric heating demand response of the user side, comprehensively considers factors such as user comfort degree and optimization cost, constructs a cooperative game model formed by each micro-grid in the multi-micro energy network comprehensive energy system, and distributes profits according to contribution degrees of each member by using a shape value method while realizing the maximum profits, thereby effectively improving the profits of each member in the alliance, ensuring the fairness of distribution and reducing the operation cost of the system.

Description

Energy management method and system for comprehensive energy system of multiple micro energy networks
Technical Field
The invention relates to the technical field of energy management of an integrated energy system, in particular to an energy management method and system of an integrated energy system of a multi-micro energy network.
Background
As a backbone industry of the continuous development of economic society, the energy industry is not only an important material basis for the development and improvement of human survival and life, but also is concerned with national economic life and welfare of human society. At the same time, however, the large-scale exploitation and utilization of human beings cause the energy consumption system taking the traditional fossil energy as the core to cause increasingly serious and irreversible damage to the earth environment. Under the background, the comprehensive energy system is produced at the same time, which is beneficial to the large-scale development of sustainable energy, the improvement of the utilization efficiency of the traditional primary energy and the realization of the sustainable development of social energy. Therefore, the comprehensive energy system will become one of the important directions for the research and development of the future energy field.
At present, researchers at home and abroad have obtained certain achievements in the research on comprehensive energy systems comprising cogeneration and renewable energy. However, as the scale of decision-making subjects in the energy internet increases sharply, and meanwhile, mutual game characteristics exist among the decision-making subjects, since the decision-making subjects have different independent characteristics and belong to different benefit subjects, how to coordinate the decision-making subjects in the energy internet is a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide an energy management method and system for a multi-micro energy network comprehensive energy system, so that the income maximization of each micro network in the comprehensive energy system is realized, the fairness of income distribution is ensured, and the operation cost of the system is reduced.
In order to achieve the purpose, the invention provides the following scheme:
a method of integrated energy system energy management for a multi-micro energy grid, the method comprising:
acquiring operation parameters of each microgrid in the comprehensive energy system; the integrated energy system comprises a plurality of micro-grids; the set of all microgrids in the integrated energy system is eta = {1,2,.., i,.., M }, wherein i represents the ith microgrid in the integrated energy system, and M is the number of microgrids in the integrated energy system; each micro-grid is provided with a Combined Heat and Power (CHP) micro-combustion unit and a heat energy storage device; the operating parameters of the microgrid comprise fuel cost of a CHP micro-combustion unit in the microgrid, heating power of CHP, generating power of CHP, cost or benefit of interaction between the microgrid and a large power grid, electricity utilization utility parameters of the microgrid, electricity consumption of users of the microgrid, heat utilization parameters of the microgrid, heat consumption of users of the microgrid, cost coefficient of the microgrid, expected exchange electric power of the microgrid and expected exchange heating power of the microgrid;
establishing an operation cost model C of the alliance tau in a cooperation mode according to the operation parameters of the microgrid c (τ); the union tau is a subset of the set eta, and tau belongs to eta;
establishing an operation cost model C of the alliance tau in an independent mode according to the operation parameters of the microgrid i (τ)；
According to the running cost model C of the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ);
optimizing an operational cost model C of the federation τ in the collaborative mode c (τ) maximizing the utility function v (τ) to obtain optimized parameters;
controlling the operation of each microgrid in the alliance tau according to the optimized parameters;
and distributing the income obtained by each microgrid in the alliance tau according to the utility function v (tau).
Optionally, the operating cost model C of the alliance τ in the cooperation mode is established according to the operating parameters of the microgrid c (τ), specifically including:
establishing an operation cost model of the alliance tau in a cooperation mode according to the operation parameters of the microgrid
Figure BDA0002323586140000021
Wherein C c (τ) is the total operating cost of all piconets in the federation τ in the cooperative mode; the nth piconet in the federation τ is called piconet n; n =1, 2.., N is the total number of piconets in the federation τ; c chp,n The fuel cost of the CHP micro-combustion unit in the micro-grid n is calculated; p is hchp,n The heating power of CHP in the microgrid n is obtained; p echp,n Generating power of CHP in the microgrid n; c grid,n The cost or benefit of interaction between the microgrid n and the large power grid is obtained; kn is an electricity utility parameter of the microgrid n; x is the number of n The electricity consumption of the users of the microgrid n is calculated; l is n (1+x n ) Represents (1 + x) n ) A logarithmic function of; alpha (alpha) ("alpha") n The parameters for the heat utilization efficiency of the microgrid n are set; h is a total of n Heat is consumed by users of the microgrid n; l is n (1+h n ) Is shown as (1 + h) n ) A logarithmic function of (d); alpha represents the cost coefficient of the microgrid;
Figure BDA0002323586140000022
representing a desired exchanged electric power of the microgrid n;
Figure BDA0002323586140000023
representing the desired heat exchange power of the microgrid n.
Optionally, the operating cost model C of the alliance τ in the independent mode is established according to the operating parameters of the microgrid i (τ), specifically including:
establishing an operation cost model of the alliance tau in an independent mode according to the operation parameters of the microgrid
Figure BDA0002323586140000031
Wherein C is i (τ) is the total operating cost of all piconets in the federation τ in standalone mode.
Optionally, the running cost model C according to the federation τ in the cooperation mode c (τ) and running cost model C of federation τ in the independent mode i (τ) establishing a utility function v (τ), specifically including:
according to the running cost model C of the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ) = C i (τ)-minC c (τ),
Figure BDA0002323586140000032
Optionally, the operation cost model C for optimizing the federation τ in the cooperation mode c (τ) to maximize the utility function v (τ) to obtain an optimized parameter, which specifically includes:
optimizing an operational cost model C of the federation τ in the collaborative mode c CHP Generation in each microgrid n (tau)Thermal power P hchp,n CHP generated power P echp,n Electric quantity interacted with large power grid and user electricity consumption x n Heat h for user n Expected exchange of electric power
Figure BDA0002323586140000033
And desire to exchange thermal power
Figure BDA0002323586140000034
Let the utility function v (τ) = C i (τ)-minC c (τ),
Figure BDA0002323586140000035
Obtaining optimized parameters when the maximum is reached; the optimized parameters comprise optimized CHP heating power, optimized CHP generating power, optimized electric quantity of interaction between the microgrid and the large power grid, optimized user electric quantity, optimized user heat consumption, optimized expected exchange electric quantity and optimized expected exchange heat.
Optionally, the allocating the revenue obtained from each piconet in the federation τ according to the utility function v (τ) specifically includes:
according to the utility function v (tau), adopting a formula
Figure BDA0002323586140000036
Determining the income phi obtained by the microgrid n in the alliance tau by n belonging to tau n (v) (ii) a Wherein a federation S is a subset of all piconets n included in the federation τ; w (| S |) is the probability of occurrence of the federation S; v (S) is a utility function of all micro-grids in the federation S; v (S-n) is a utility function of all piconets in the federation S except piconet n;
obtaining a yield phi according to the microgrid n n (v) Allocating the revenue obtained from each piconet in the federation τ.
An integrated energy system energy management system for a multi-micro energy grid, the system comprising:
the micro-grid operation parameter acquisition module is used for acquiring operation parameters of each micro-grid in the comprehensive energy system; the integrated energy system comprises a plurality of micro grids; the set of all microgrids in the integrated energy system is eta = {1,2,.., i,.., M }, wherein i represents the ith microgrid in the integrated energy system, and M is the number of microgrids in the integrated energy system; each micro-grid is provided with a Combined Heat and Power (CHP) micro-combustion unit and a heat energy storage device; the operating parameters of the microgrid comprise fuel cost of a CHP micro-combustion unit in the microgrid, heating power of CHP, generating power of CHP, cost or benefit of interaction between the microgrid and a large power grid, electricity utilization utility parameters of the microgrid, electricity consumption of users of the microgrid, heat utilization parameters of the microgrid, heat consumption of users of the microgrid, cost coefficient of the microgrid, expected exchange electric power of the microgrid and expected exchange heating power of the microgrid;
the running cost model building module in the cooperation mode is used for building a running cost model C of the alliance tau in the cooperation mode according to the running parameters of the microgrid c (τ); the union tau is a subset of the set eta, and tau belongs to eta;
the running cost model building module in the independent mode is used for building a running cost model C of the alliance tau in the independent mode according to the running parameters of the microgrid i (τ)；
A utility function establishing module used for establishing a model C according to the running cost of the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ);
a parameter optimization module for optimizing the running cost model C of the alliance tau in the cooperation mode c (τ) maximizing the utility function v (τ) to obtain optimized parameters;
the microgrid operation management module is used for controlling the operation of each microgrid in the alliance tau according to the optimized parameters;
and the microgrid profit distribution module is used for distributing the profits obtained by each microgrid in the union tau according to the utility function v (tau).
Optionally, the operation cost model building module in the cooperation mode specifically includes:
an operation cost model establishing unit in the cooperation mode, configured to establish an operation cost model of the alliance τ in the cooperation mode according to the operation parameters of the microgrid
Figure BDA0002323586140000041
Wherein C is c (τ) is the total operating cost of all the piconets in the federation τ in the cooperative mode; the nth piconet in the federation τ is called piconet n; n =1,2,. Wherein N, N is the total number of piconets in the federation τ; c chp,n The fuel cost of the CHP micro-combustion unit in the micro-grid n is calculated; p is hchp,n The heating power of the CHP in the microgrid n is obtained; p echp,n Generating power of CHP in the microgrid n; c grid,n The cost or the benefit of the interaction between the microgrid n and the large power grid is obtained; k is a radical of n The electricity utility parameter is the electricity utility parameter of the microgrid n; x is a radical of a fluorine atom n The electricity consumption of the users of the microgrid n is calculated; l is n (1+x n ) Represents (1 + x) n ) A logarithmic function of; alpha (alpha) ("alpha") n The parameters for the heat utilization efficiency of the microgrid n are obtained; h is a total of n Heat is consumed by users of the microgrid n; l is a radical of an alcohol n (1+h n ) Is shown as (1 + h) n ) A logarithmic function of; alpha represents the cost coefficient of the microgrid;
Figure BDA0002323586140000051
representing a desired exchanged electric power of the microgrid n;
Figure BDA0002323586140000052
representing the desired heat exchange power of the microgrid n.
Optionally, the operation cost model establishing module in the independent mode specifically includes:
an operation cost model establishing unit in the independent mode, which is used for establishing an operation cost model of the alliance tau in the independent mode according to the operation parameters of the microgrid
Figure BDA0002323586140000053
Wherein C is i (τ) is the total operating cost of all piconets in the federation τ in standalone mode.
Optionally, the utility function establishing module specifically includes:
a utility function establishing unit for establishing a utility function according to the running cost model C of the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ) = C i (τ)-minC c (τ),
Figure BDA0002323586140000054
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a method and a system for managing energy of a comprehensive energy system of a multi-micro energy network, wherein the method comprises the steps of firstly, acquiring operation parameters of each micro network in the comprehensive energy system; establishing an operation cost model C of the alliance tau in a cooperation mode according to the operation parameters of the microgrid c (τ) and Federation τ operating cost model C in standalone mode i (τ); and according to the running cost model C of the alliance tau in the cooperation mode c (τ) and running cost model C of federation τ in the independent mode i (τ) establishing a utility function v (τ); optimizing an operational cost model C of the federation τ in the collaborative mode c (τ) maximizing the utility function v (τ) to obtain optimized parameters; controlling the operation of each microgrid in the alliance tau according to the optimized parameters; and distributing the income obtained by each microgrid in the alliance tau according to the utility function v (tau). The method combines the electric heating demand response of the user side, comprehensively considers factors such as user comfort degree, optimization cost and the like, constructs a cooperative game model formed by all members (micro-grids) in the multi-micro energy grid comprehensive energy system, and distributes profits according to the contribution degrees of all the members by adopting a sharley value method while realizing profit maximization, so that the profits of all the members in a coalition are effectively improved, the distribution fairness is ensured, and the operation cost of the comprehensive energy system is reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an energy management method of an integrated energy system of a multi-micro energy network according to the present invention;
FIG. 2 is a schematic diagram of an energy management method of an integrated energy system of a multi-micro energy grid according to the present invention;
fig. 3 is a frame diagram of an integrated energy system of a multi-micro energy grid according to the present invention;
fig. 4 is a structural diagram of an integrated energy management system of a multi-micro energy grid according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention aims to provide an energy management method and system for a multi-micro energy network comprehensive energy system, so that the income maximization of each micro network in the comprehensive energy system is realized, the fairness of income distribution is ensured, and the operation cost of the system is reduced.
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description thereof.
Fig. 1 is a flowchart of an energy management method of an integrated energy system of a multi-micro energy grid according to the present invention. Fig. 2 is a schematic diagram of an energy management method of an integrated energy system of a multi-micro energy grid according to the present invention. Referring to fig. 1 and 2, the method for energy management of an integrated energy system of a multi-micro energy network provided by the invention specifically includes:
step 101: and acquiring the operating parameters of each microgrid in the comprehensive energy system.
The concrete framework of the integrated energy system containing multiple micro-energy networks (micro-grid for short) is shown in fig. 3. The integrated energy system comprises a plurality of micro-grids. In the system, each micro-grid simultaneously has a cogeneration micro-combustion unit and a heat energy storage device, and plays a role in energy supply of system electric energy and heat energy. Each user in the microgrid has a certain proportion of controllable load and has the demand response capability. The user side distributed renewable energy power generation unit mainly adopts photovoltaic power generation, so that each user is provided with a photovoltaic power generation device. All the microgrid users realize information interaction and energy sharing among the microgrid users in the comprehensive energy system through operators. The operator side is usually equipped with a User Energy Management System (UEMS) for deciding the generated energy and the heat supply of the CHP (combined heat and power) and the heat storage and release power of the TES (Thermal energy storage system) in each scheduling period, the power consumption and the heat consumption of the user, and the heat exchange amount with other interconnected micro-grids, so as to realize the optimal scheduling of the integrated energy system.
The set of all micro grids in the integrated energy system is eta = {1,2,. Multidot., i,. Multidot.,. M }, wherein i represents the ith micro grid in the integrated energy system, and M is the number of micro grids in the integrated energy system. Each micro-grid is provided with a Combined Heat and Power (CHP) micro-combustion unit and a heat energy storage device. The operating parameters of the microgrid comprise fuel cost of a CHP micro-combustion unit in the microgrid, heating power of CHP, generating power of CHP, cost or income of interaction between the microgrid and a large power grid, electricity utilization utility parameters of the microgrid, electricity consumption of users of the microgrid, heat utilization parameters of the microgrid, heat utilization of users of the microgrid, cost coefficient of the microgrid, expected exchange electric power of the microgrid and expected exchange heat power of the microgrid.
Step 102: establishing an operation cost model C of the alliance tau in a cooperation mode according to the operation parameters of the microgrid c (τ)。
The energy flow mechanism among each microgrid in the system is divided into a cooperative mode and an independent mode. When the system runs in the independent mode, each user in the system gives priority to maximum consumption of the photovoltaic power generation amount of the user. When the photovoltaic is insufficient, the photovoltaic power generation system performs electric energy interaction with a power grid to meet the self power load requirement; when the photovoltaic is excessive, the redundant electric energy can be returned to the large power grid. In terms of heat demand, each user can only supply heat using the CHP or heat storage device within the piconet in which it is located.
Besides depending on a large power grid, cooperative alliances can be formed among the micro-grids to realize energy sharing. In the aspect of system power supply, each user preferably considers the maximum consumption of the photovoltaic power generation amount of the user. When the photovoltaic is insufficient, the CHP can supply power, purchase power to a large power grid or exchange electric energy with other micro-grids; when the photovoltaic is surplus, the surplus electric energy can be sent to other micro-grids or sold to a large power grid. In the aspect of heat supply, the heat energy demand of a user is realized through the cooperation of the CHP system and the heat energy storage device and the heat energy sharing with other micro-grids. When the heat energy provided by the CHP is insufficient, the heat energy can be supplied by other micro-grids or can be released by a heat storage device; when the heat energy provided by the CHP is excessive, the excessive heat energy can be sent to other micro-grids or stored by a heat storage device.
Cooperative gaming refers to gaming in which some participants play in an allied, cooperative manner, and cooperation can enhance the benefits of both parties because cooperative gaming can produce a cooperative surplus. The invention takes the set eta of all micro-grids in the integrated energy system (= {1,2,. Eta., i,. Eta., M } as the set of game players. In general, cooperative gaming includes a set of players η = {1,2,.., i,..,. M }, where i ∈ η represents a player i (i.e., a microgrid i), and M is the number of microgrids in the integrated power system. τ represents a subset of the set η, i.e., τ ∈ η, τ represents a possible coalition among the M gamblers. A federation τ = {1,2,. Directed, N }, where N ∈ τ represents the nth piconet in the federation τ, referred to as piconet N; and N is the total number of piconets in the alliance tau. Definition of
Figure BDA0002323586140000084
Is a characteristic function of the game, wherein
Figure BDA0002323586140000085
Representation entitySet of numbers, v:2 M Indicating the presence of a gambler 2 M A possible way of cooperation. The feature function v gives the maximum total utility v (τ) that can be obtained by any federation τ.
In the cooperation mode, the operation cost model of the alliance τ is as follows:
Figure BDA0002323586140000081
wherein C c (τ) is the total operating cost of all piconets in federation τ in cooperative mode. The nth piconet in the federation τ is called piconet n; n =1,2.. N, N is the total number of piconets in the federation τ. C n The operating cost of the microgrid n in the cooperative mode. In the formula, k n The value of the electricity utility parameter is adjusted according to the electricity usage habit of the user in each time period; x is the number of n The electricity consumption of the user; alpha is alpha n The heat utilization parameters are used, and the values of the heat utilization parameters are adjusted according to the heat utilization characteristics of the user; h is a total of n Heat consumption for the user;
Figure BDA0002323586140000082
exchanging electrical power for the desired of the microgrid n;
Figure BDA0002323586140000083
the desired heat power is exchanged for the microgrid n. C chp,n 、P echp，n 、P hchp,n The fuel cost, the power generation power and the heating power of the CHP micro-combustion engine are respectively indicated; c grid Represent cost/benefit of interacting with a large grid; l is n Representing a logarithmic function; α represents a cost coefficient.
Specifically, C chp,n The fuel cost of the CHP micro-combustion unit in the micro-grid n is calculated; p hchp,n The heating power of CHP in the microgrid n is obtained; p is echp,n Is the generated power of the CHP in the microgrid n. C grid,n The cost or the benefit of the interaction between the microgrid n and the large power grid is obtained. k is a radical of formula n And adjusting the value of the power utilization utility parameter of the microgrid n according to the power utilization habits of the user in each time period. x is a radical of a fluorine atom n The electricity consumption of the users of the microgrid n is calculated; l is a radical of an alcohol n (1+x n ) Is represented by (1+x n ) A logarithmic function of (c). Alpha (alpha) ("alpha") n The parameters for the heat utilization efficiency of the microgrid n are obtained; h is a total of n Heat is consumed by users of the microgrid n; l is a radical of an alcohol n (1+h n ) Is shown as (1 + h) n ) A logarithmic function of (c). Alpha represents the cost coefficient of the microgrid;
Figure BDA0002323586140000091
representing a desired exchanged electric power of the microgrid n;
Figure BDA0002323586140000092
representing the desired heat exchange power of the microgrid n.
The operation cost model (1) of the alliance tau in the cooperation mode comprises the following parts:
1) Cost of electricity generation for CHP
Figure BDA0002323586140000093
2) Cost/benefit of interacting with large power grids
Figure BDA0002323586140000094
3) Electric utility
Figure BDA0002323586140000095
4) Is effective with heat
Figure BDA0002323586140000096
5) Electric net charge
Figure BDA0002323586140000097
6) Heat net charge
Figure BDA0002323586140000098
The operating cost of the micro-combustion engine unit is mainly gas cost, and the output relationship between the fuel cost and the unit is as follows:
Figure BDA0002323586140000099
in the formula, C chp Fuel cost for micro-combustion engines；p CH4 Is the natural gas price; eta chp The power generation efficiency of the micro-combustion engine is obtained; l is a radical of an alcohol HVNG Is natural gas with low heat value; p is echp And delta t is the time interval for the power generation of the micro-combustion engine.
Power cost (cost/benefit) C of interaction of microgrid and large power grid grid Can be expressed as:
Figure BDA00023235861400000910
in the formula, x grid Is the electric quantity of interaction between a user and a power grid in the microgrid when x is grid The power consumption is more than or equal to 0, and a user purchases electricity from a large power grid; when x is grid If the power is less than 0, the surplus electric quantity is on the Internet; p b Is the electricity purchase price from the large power grid; p is s Is the price of electricity sold to a large power grid.
In the cooperation mode, electric power and thermal power are exchanged among the micro-grids, and the electricity purchasing price of the large power grid is generally higher than the electricity price of the internet, so that cooperation among the micro-grids is prone to be carried out, and the total operation cost of the system is reduced.
Step 103: establishing an operation cost model C of the alliance tau in an independent mode according to the operation parameters of the microgrid i (τ)。
Running cost model C of alliance tau in independent mode i (τ) is:
Figure BDA0002323586140000101
wherein C i (τ) is the total operating cost of all piconets in the federation τ in standalone mode. C chp,n The fuel cost of the CHP micro-combustion unit in the micro-grid n is calculated; p is hchp,n The heating power of CHP in the microgrid n is obtained; p is echp,n Is the generated power of the CHP in the microgrid n. C grid,n The cost or the benefit of the interaction between the microgrid n and the large power grid is obtained. k is a radical of formula n And adjusting the value of the power utilization utility parameter of the microgrid n according to the power utilization habits of the user in each time period. x is a radical of a fluorine atom n The electricity consumption of the users of the microgrid n is calculated; l is a radical of an alcohol n (1+x n ) Represents (1 + x) n ) A logarithmic function of. Alpha (alpha) ("alpha") n The parameters for the heat utilization efficiency of the microgrid n are set; h is a total of n Heat is consumed by users of the microgrid n; l is a radical of an alcohol n (1+h n ) Is shown as (1 + h) n ) A logarithmic function of (c).
Step 104: according to the running cost model C of the alliance tau in the cooperation mode c (τ) and running cost model Ci of federation τ in the independent mode ( τ) establishes a utility function v (τ).
According to the operation cost model C of the alliance tau in the cooperation mode c (τ) establishing an optimized objective function of the integrated energy system:
Figure BDA0002323586140000102
the optimization objective function (5) represents that the total operation cost of the alliance tau is the lowest on the basis of meeting the electric energy and heat energy requirements of the system through the chp generating capacity, chp heat generating capacity, electric quantity traded with the power grid, actual electric quantity consumed by users, actual heat consumption, charge-discharge power variable of the heat storage device, expected exchange electric quantity and expected exchange heat in the optimization formula (5).
Each piconet in the set η may form any federation τ. The federation τ will reduce the cost in collaborative mode compared to standalone mode, then the utility function v (τ) can be defined as:
Figure BDA0002323586140000103
in the formula, C i (τ) is the total operating cost of each microgrid in the integrated energy system alliance τ in the independent mode; c c (τ) is the total operating cost of each piconet in the federation τ in cooperative mode. The characteristic function v (τ) represents the benefit of the participants in the federation τ through collaboration, i.e., reduced cost of the collaborative mode compared to the standalone mode in the present invention.
Step 105: optimizing an operating cost model C of the federation tau in the collaboration mode c (τ) to maximize the utility function v (τ) to obtain an optimizedAnd (4) parameters.
Optimizing the running cost model C of the alliance tau in the cooperation mode by taking the optimization objective function (5) as an optimization objective c (tau) CHP heating power P of each microgrid n hchp,n CHP generated power P echp,n Electric quantity interacted with large power grid and user electricity consumption x n Heat h for user n Expected exchange of electric power
Figure BDA0002323586140000111
And desire to exchange thermal power
Figure BDA0002323586140000112
Running cost C of alliance tau in cooperative mode c (τ) is minimized, so that the utility function v (τ) = C i (τ)-minC c (τ),
Figure BDA0002323586140000113
And reaching the maximum to obtain optimized parameters. The optimized parameters comprise optimized CHP heating power, optimized CHP generating power, optimized electric quantity of interaction between the microgrid and the large power grid, optimized user electricity consumption, optimized user heat consumption, optimized expected exchange electric quantity and optimized expected exchange heat.
Step 106: and controlling the operation of each microgrid in the alliance tau according to the optimized parameters.
And controlling each microgrid n in the alliance tau to operate according to the optimized parameters, so that the income maximization of the alliance tau can be guaranteed.
Step 107: and distributing the income obtained by each microgrid in the alliance tau according to the utility function v (tau).
The invention optimizes the running cost C of the alliance tau in the cooperation mode c And (tau), the cooperation of all N individuals generates the maximum benefit, and further needs to research how each member distributes the benefit when achieving cooperation. Wherein the method of the charapril value is most widely applied in solving the problem of the distribution of the cooperative income of a plurality of individuals. When N pieces are presentWhen the individual cooperation is engaged in a certain activity and the interests among the individuals are not conflicted, the increase of the number of the individuals in the cooperation does not reduce the benefits. Distributing the utility v (tau) obtained in step 105, namely the benefit v (tau) brought by the cooperative mode compared with the independent mode, and finally obtaining the benefit distributed by each member, namely phi n (v)。
In the cooperation of N members, each member N is allocated the obtained profit phi n (v) In that respect The sharley value of the game (M, v) amortizes the profit v (τ) of the league τ as follows:
Figure BDA0002323586140000114
wherein:
Figure BDA0002323586140000121
in the formula, phi n (v) Representing the gains obtained for piconet n in the federation τ. S represents all subsets of the set τ containing the nth piconet; v (S) is a utility function of all micro-grids in the federation S; v (S-n) is the utility function of all piconets in the federation S except piconet n. [ v (S) -v (S-n)]Is the marginal contribution of the nth piconet to the federation S. W (S) is the probability of occurrence of the federation S; | S | represents the number of piconets contained in the subset S. The expected gain in the marginal contribution of piconet n in federation S is the value of sharpril.
Obtaining a benefit phi according to the microgrid n n (v) Allocating the revenue obtained from each microgrid in the federation τ.
The method adopts a shapey value method to distribute the income according to the contribution degree of each member, can effectively improve the income of each member n in the alliance tau, ensures the fairness of distribution, and is favorable for realizing the low-cost operation of a multi-micro energy network.
The invention determines an energy flow mechanism among multiple micro-grids in the comprehensive energy system, and establishes a cooperative game optimization model (6) of the comprehensive energy system with the multiple micro-energy grids containing CHP and photovoltaic users, wherein the CHP can flexibly run in a heat-based power setting mode or an electric-based power setting mode. The method of the invention takes maximization of alliance income as a target, and adopts a Shapley value method to distribute the income according to the contribution degree of each member, thereby realizing the maximization of the income, simultaneously ensuring the fairness of distribution, effectively improving the income of each member in the alliance and reducing the operation cost of the system.
Based on the comprehensive energy system energy method of the multi-micro energy network provided by the invention, the invention also provides a comprehensive energy system energy management system of the multi-micro energy network. Referring to fig. 4, the system includes:
a microgrid operation parameter acquisition module 401, configured to acquire operation parameters of each microgrid in the integrated energy system; the integrated energy system comprises a plurality of micro grids; the set of all microgrids in the integrated energy system is eta = {1,2,. Multidot.,. I,. Multidot.,. M }, wherein i represents the ith microgrid in the integrated energy system, and M is the number of microgrids in the integrated energy system; each micro-grid is provided with a Combined Heat and Power (CHP) micro-combustion unit and a heat energy storage device; the operating parameters of the microgrid comprise fuel cost of a CHP micro-combustion unit in the microgrid, heating power of CHP, generating power of CHP, cost or benefit of interaction between the microgrid and a large power grid, electricity utilization utility parameters of the microgrid, electricity consumption of users of the microgrid, heat utilization parameters of the microgrid, heat consumption of users of the microgrid, cost coefficient of the microgrid, expected exchange electric power of the microgrid and expected exchange heating power of the microgrid;
an operation cost model establishing module 402 in the cooperative mode, configured to establish an operation cost model C of the alliance τ in the cooperative mode according to the operation parameters of the microgrid c (τ); the union tau is a subset of the set eta, and tau belongs to eta;
an operation cost model establishing module 403 in the independent mode, configured to establish an operation cost model C of the alliance τ in the independent mode according to the operation parameters of the microgrid i (τ)；
A utility function establishing module 404, configured to establish a utility function according to the operation cost model C of the federation τ in the cooperation mode c (τ) and cost of operating federation τ in the standalone modeModel C i (τ) establishing a utility function v (τ);
a parameter optimization module 405, configured to optimize the operation cost model C of the federation τ in the cooperation mode c (τ) maximizing the utility function v (τ) to obtain optimized parameters;
a microgrid operation management module 406, configured to control operation of each microgrid in the federation τ according to the optimized parameter;
and a microgrid profit allocation module 407, configured to allocate profits obtained by each microgrid in the federation τ according to the utility function v (τ).
The operation cost model building module 402 in the cooperation mode specifically includes:
an operation cost model establishing unit in the cooperation mode, configured to establish an operation cost model of the alliance τ in the cooperation mode according to the operation parameters of the microgrid
Figure BDA0002323586140000131
Wherein C c (τ) is the total operating cost of all the piconets in the federation τ in the cooperative mode; the nth piconet in the federation τ is called piconet n; n =1, 2.., N is the total number of piconets in the federation τ; c chp,n The fuel cost of the CHP micro-combustion unit in the micro-grid n is calculated; p is hchp,n The heating power of the CHP in the microgrid n is obtained; p is echp,n Generating power of CHP in the microgrid n; c grid,n The cost or benefit of interaction between the microgrid n and the large power grid is obtained; k is a radical of n The electricity utilization utility parameters are the microgrid n; x is the number of n The electricity consumption of the users of the microgrid n is calculated; l is a radical of an alcohol n (1+x n ) Represents (1 + x) n ) A logarithmic function of (d); alpha is alpha n The parameters for the heat utilization efficiency of the microgrid n are set; h is a total of n Heat is consumed by users of the microgrid n; l is n (1+h n ) Represents (1 + h) n ) A logarithmic function of; alpha represents the cost coefficient of the microgrid;
Figure BDA0002323586140000132
representing a desired exchanged electric power of the microgrid n;
Figure BDA0002323586140000133
representing the desired heat exchange power of the microgrid n.
The operation cost model building module 403 in the independent mode specifically includes:
an operation cost model establishing unit in the independent mode, which is used for establishing an operation cost model of the alliance tau in the independent mode according to the operation parameters of the microgrid
Figure BDA0002323586140000141
Wherein C i (τ) is the total operating cost of all piconets in the federation τ in standalone mode.
The utility function establishing module 404 specifically includes:
a utility function establishing unit for establishing a utility function according to the running cost model C of the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ) = C i (τ)-minC c (τ),
Figure BDA0002323586140000142
The parameter optimization module 405 specifically includes:
a parameter optimization unit for operating and optimizing the running cost model C of the alliance tau in the cooperation mode c CHP heating power P of each microgrid n in (tau) hchp,n CHP generated power P echp,n Electric quantity interacted with large power grid and user electricity consumption x n Heat h for the user n Expected exchange of electric power
Figure BDA0002323586140000143
And desire to exchange thermal power
Figure BDA0002323586140000144
Let the utility function v (τ) = C i (τ)-minC c (τ),
Figure BDA0002323586140000145
The maximum is reached, and optimized parameters are obtained; the optimized ginsengThe number comprises optimized CHP heating power, optimized CHP generating power, the interaction electric quantity of the optimized microgrid and the large power grid, optimized user power consumption, optimized user heat consumption, optimized expected exchange electric quantity and optimized expected exchange heat.
The microgrid profit allocation module 407 specifically includes:
a profit computation unit operating according to the utility function v (τ) using a formula
Figure BDA0002323586140000146
Determining the yield phi obtained by the microgrid n in the alliance tau through n belonging to the tau n (v) (ii) a Wherein a federation S is a subset of all piconets n included in the federation τ; w (| S |) is the probability of occurrence of the federation S; v (S) is a utility function of all micro-grids in the federation S; v (S-n) is a utility function of all piconets in the federation S except piconet n;
a profit allocation unit for operating a profit phi obtained according to the microgrid n n (v) Allocating the revenue obtained from each piconet in the federation τ.
With the transformation of an energy structure and the rapid development of a comprehensive energy system, various participants and a large number of users can enter the system in an open mode through the open interconnection and the free energy transmission of multiple energy sources, and the main scale of decision participation in the system is increased sharply compared with that of a traditional power grid while the optimal configuration of energy resources is realized. The mutual game characteristics existing among the decision-making subjects and the scores belong to different benefit subjects, so that the mixed energy management of multiple subjects has difficulty. Therefore, it is necessary to develop a comprehensive energy management method for coordinating decision-making subjects in the energy internet so as to balance and optimize the interests of all the relevant parties. The comprehensive energy system energy method and the system of the multi-micro energy network comprehensively consider factors such as user comfort, optimization cost and the like, construct a cooperative game model (5) formed by all members (micro-networks) in the comprehensive energy system, and provide a new idea for coordinating all decision-making main bodies in the comprehensive energy system so as to balance and optimize benefits of all parties. In addition, the invention aims at maximizing the benefits of the alliance, and utilizes the shape value method to distribute the benefits according to the contribution degree of each member in the alliance, thereby realizing the maximization of the benefits of each member in the alliance, ensuring the fairness of benefit distribution and being beneficial to reducing the operation cost of the system.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (4)

1. A method for energy management of an integrated energy system of a multi-micro energy grid, the method comprising:
acquiring operation parameters of each microgrid in the comprehensive energy system; the integrated energy system comprises a plurality of micro-grids; the set of all microgrids in the integrated energy system is eta = {1,2,. Multidot.,. I,. Multidot.,. M }, wherein i represents the ith microgrid in the integrated energy system, and M is the number of microgrids in the integrated energy system; each micro-grid is provided with a Combined Heat and Power (CHP) micro-combustion unit and a heat energy storage device; the operating parameters of the microgrid comprise fuel cost of a CHP micro-combustion unit in the microgrid, heating power of CHP, generating power of CHP, cost or benefit of interaction between the microgrid and a large power grid, electricity utilization utility parameters of the microgrid, electricity consumption of users of the microgrid, heat utilization parameters of the microgrid, heat consumption of users of the microgrid, cost coefficient of the microgrid, expected exchange electric power of the microgrid and expected exchange heating power of the microgrid;
according to said microNetwork operation parameter establishment cooperation model operation cost model C of alliance tau c (τ); the union tau is a subset of the set eta, and tau belongs to eta;
establishing an operation cost model C of the alliance tau in a cooperation mode according to the operation parameters of the microgrid c (τ), specifically including:
establishing an operation cost model of the alliance tau in a cooperation mode according to the operation parameters of the microgrid
Figure FDA0003904977410000011
Wherein C is c (τ) is the total operating cost of all the piconets in the federation τ in the cooperative mode; the nth piconet in the federation τ is called piconet n; n =1, 2.., N is the total number of piconets in the federation τ; c chp,n The fuel cost of the CHP micro-combustion unit in the micro-grid n is calculated; p is hchp,n The heating power of CHP in the microgrid n is obtained; p echp,n The generated power of the CHP in the microgrid n is obtained; c grid,n The cost or the benefit of the interaction between the microgrid n and the large power grid is obtained; k is a radical of n The electricity utilization utility parameters are the microgrid n; x is a radical of a fluorine atom n The electricity consumption of the users of the microgrid n is calculated; l is n (1+x n ) Represents (1 + x) n ) A logarithmic function of (d); alpha (alpha) ("alpha") n The parameters for the heat utilization efficiency of the microgrid n are set; h is n Heat is consumed by users of the microgrid n; l is a radical of an alcohol n (1+h n ) Represents (1 + h) n ) A logarithmic function of (d); alpha represents the cost coefficient of the microgrid;
Figure FDA0003904977410000012
representing a desired exchanged electric power of the microgrid n;
Figure FDA0003904977410000013
representing a desired heat exchange power of the microgrid n;
establishing an operation cost model C of the alliance tau in an independent mode according to the operation parameters of the microgrid i (τ)；
Establishing an operation cost model C of the alliance tau in an independent mode according to the operation parameters of the microgrid i (τ), specifically including:
establishing an operation cost model of the alliance tau in an independent mode according to the operation parameters of the microgrid
Figure FDA0003904977410000021
Wherein C i (τ) is the total operating cost of all the piconets in the federation τ in the standalone mode;
according to the running cost model C of the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ);
the operation cost model C according to the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ), specifically including:
according to the running cost model C of the alliance tau in the cooperation mode c (τ) and a running cost model C of federation τ in the standalone mode i (τ) establishing a utility function v (τ) = C i (τ)-minC c (τ),
Figure FDA0003904977410000022
Optimizing an operating cost model C of the federation tau in the collaboration mode c (τ) maximizing the utility function v (τ) to obtain optimized parameters;
controlling the operation of each microgrid in the alliance tau according to the optimized parameters;
and distributing the income obtained by each microgrid in the alliance tau according to the utility function v (tau).
2. The method of integrated energy system energy management according to claim 1, wherein the optimizing the operating cost model C of federation τ in the collaborative mode c (τ) to maximize the utility function v (τ) to obtain an optimized parameter, which specifically includes:
optimizing the operation of federation tau in the collaboration modeCost of implementation model C c (tau) CHP heating power P of each microgrid n hchp,n CHP generated power P echp,n Electric quantity interacted with large power grid and user electricity consumption x n Heat h for user n Expected exchange of electric power
Figure FDA0003904977410000023
And desire to exchange thermal power
Figure FDA0003904977410000024
Let the utility function v (τ) = C i (τ)-minC c (τ),
Figure FDA0003904977410000025
The maximum is reached, and optimized parameters are obtained; the optimized parameters comprise optimized CHP heating power, optimized CHP generating power, optimized electric quantity of interaction between the microgrid and the large power grid, optimized user electric quantity, optimized user heat consumption, optimized expected exchange electric quantity and optimized expected exchange heat.
3. The method according to claim 2, wherein the allocating the revenue obtained from each microgrid in the federation τ according to the utility function v (τ) comprises:
according to the utility function v (tau), adopting a formula
Figure FDA0003904977410000031
Determining the income phi obtained by the microgrid n in the alliance tau by n belonging to tau n (v) (ii) a Wherein a federation S is a subset of all piconets n included in the federation τ; w (S) is the probability of occurrence of the federation S; v (S) is a utility function of all micro-grids in the alliance S; v (S-n) is a utility function of all piconets in the federation S except piconet n;
obtaining a benefit phi according to the microgrid n n (v) Allocating the revenue obtained from each microgrid in the federation τ.
4. An integrated energy system energy management system for a multi-micro energy grid, the system comprising:
the micro-grid operation parameter acquisition module is used for acquiring operation parameters of each micro-grid in the comprehensive energy system; the integrated energy system comprises a plurality of micro grids; the set of all microgrids in the integrated energy system is eta = {1,2,. Multidot.,. I,. Multidot.,. M }, wherein i represents the ith microgrid in the integrated energy system, and M is the number of microgrids in the integrated energy system; each micro-grid is provided with a Combined Heat and Power (CHP) micro-combustion unit and a heat energy storage device; the operating parameters of the microgrid comprise fuel cost of a CHP micro-combustion unit in the microgrid, heating power of CHP, generating power of CHP, cost or benefit of interaction between the microgrid and a large power grid, electricity utilization utility parameters of the microgrid, electricity consumption of users of the microgrid, heat utilization parameters of the microgrid, heat consumption of users of the microgrid, cost coefficient of the microgrid, expected exchange electric power of the microgrid and expected exchange heating power of the microgrid;
the running cost model building module in the cooperation mode is used for building a running cost model C of the alliance tau in the cooperation mode according to the running parameters of the microgrid c (τ); the union tau is a subset of the set eta, and tau belongs to eta;
the operation cost model building module in the cooperation mode specifically comprises:
an operation cost model establishing unit in the cooperation mode, which is used for establishing an operation cost model of the alliance tau in the cooperation mode according to the operation parameters of the microgrid
Figure FDA0003904977410000032
Wherein C c (τ) is the total operating cost of all the piconets in the federation τ in the cooperative mode; the nth piconet in the federation τ is called piconet n; n =1, 2.., N is the total number of piconets in the federation τ; c chp,n The fuel cost of the CHP micro-combustion unit in the micro-grid n is calculated; p is hchp,n The heating power of the CHP in the microgrid n is obtained; p is echp,n Is a littleThe generated power of the CHP in the grid n; c grid,n The cost or benefit of interaction between the microgrid n and the large power grid is obtained; k is a radical of n The electricity utility parameter is the electricity utility parameter of the microgrid n; x is a radical of a fluorine atom n The electricity consumption of the users of the microgrid n is calculated; l is n (1+x n ) Represents (1 + x) n ) A logarithmic function of; alpha is alpha n The parameters for the heat utilization efficiency of the microgrid n are set; h is n Heat is consumed by users of the microgrid n; l is n (1+h n ) Represents (1 + h) n ) A logarithmic function of (d); alpha represents the cost coefficient of the microgrid;
Figure FDA0003904977410000041
representing a desired exchanged electric power of the microgrid n;
Figure FDA0003904977410000042
representing the desired heat exchange power of the microgrid n;
an operation cost model establishing module in the independent mode, which is used for establishing an operation cost model C of the alliance tau in the independent mode according to the operation parameters of the microgrid i (τ)；
The operation cost model establishing module in the independent mode specifically comprises:
an operation cost model establishing unit in the independent mode, which is used for establishing an operation cost model of the alliance tau in the independent mode according to the operation parameters of the microgrid
Figure FDA0003904977410000043
Wherein C i (τ) is the total operating cost of all the piconets in the federation τ in the standalone mode;
a utility function establishing module for establishing a utility function according to the running cost model C of the alliance tau in the cooperation mode c (τ) and running cost model C of federation τ in the independent mode i (τ) establishing a utility function v (τ);
the utility function establishing module specifically comprises:
a utility function establishing unit for establishing a utility function according to the running cost model C of the alliance tau in the cooperation mode c (τ) and federation in the independent modeRunning cost model C of tau i (τ) establishing a utility function v (τ) = C i (τ)-minC c (τ),
Figure FDA0003904977410000044
A parameter optimization module for optimizing the running cost model C of the alliance tau in the cooperation mode c (τ) maximizing the utility function v (τ) to obtain optimized parameters;
the microgrid operation management module is used for controlling the operation of each microgrid in the alliance tau according to the optimized parameters;
and the microgrid profit distribution module is used for distributing the profits obtained by each microgrid in the union tau according to the utility function v (tau).
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* Cited by examiner, † Cited by third party
Title
Hybrid Energy Sharing for Smart Building Cluster With CHP System and PV Prosumers: A Coalitional Game Approach;Nian Liu,etc;《IEEE Access》;20181231;34098-34108 *

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