Micro-grid distributed consistency economic dispatching method and system

Abstract

The invention discloses a micro-grid distributed consistency economic dispatching method and a micro-grid distributed consistency economic dispatching system. The micro-grid distributed consistency economic dispatching method comprises the following steps: constructing a communication topology model of a micro-grid system; establishing an economic dispatching model of the micro-grid; deriving to obtain a calculation form of the optimal solution of the output power of the micro-grid generator and the optimal solution of the incremental cost; initializing related parameters required by a consistency economic dispatching algorithm; iteratively updating the increment cost of each generator to gradually tend to be consistent, and updating the output power of all generators and the deviation between the output power and the demand quantity to gradually tend to be zero; and outputting the optimal increment cost and the optimal generator output power. According to the method, the problem of how to effectively carry out consistent economic dispatching under the condition that random fluctuation exists in the connectivity of the communication link in the actual micro-grid is solved, and the dependence on the network connection strength and low delay is reduced.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of micro-grid energy optimization scheduling, and particularly relates to a micro-grid distributed consistency economic scheduling method and system. BACKGROUND

[0002] With the transformation of global energy structure and the development of smart grid technology, micro-grid as a flexible, efficient and renewable power system form has played an increasingly important role in power dispatching and energy management. Micro-grid not only can realize the autonomous scheduling of distributed energy, but also can guarantee the reliability and economy of energy supply in the connection or isolated operation with the main grid. Therefore, how to optimize the scheduling problem of micro-grid, especially the scheduling method in distributed environment, has become a research hotspot.

[0003] Traditional economic scheduling methods usually adopt centralized algorithms, such as genetic algorithm, particle swarm optimization, evolutionary programming, differential evolution and simulated annealing, etc. These algorithms rely on the central controller to collect global information for a large amount of data processing and need high storage capacity and fast processing speed. However, the centralized method is high in cost and prone to single point failure, lacking robustness. When the number of generators or loads in the smart grid needs to be increased or decreased, the whole system needs to be reconfigured, which is insufficient in flexibility.

[0004] In order to solve the above problems, the existing technology usually adopts a distributed economic scheduling method as an effective solution, which can fully utilize the local information of each distributed node and realize the global target through local decision and coordination mechanism. However, the traditional distributed economic scheduling method usually relies on a centralized communication network architecture, in which the communication between nodes needs to ensure strong connectivity and low delay, and has high requirements for the topology structure of the network. In actual application, the communication link may be interrupted due to network failure, signal attenuation, data packet loss, etc., which will cause the communication of some nodes to be unable to be transmitted in real time, and further affect the data exchange and collaborative optimization in the scheduling process. SUMMARY

[0005] The technical problem to be solved by the application is how to effectively perform consistency economic scheduling when the communication link connectivity in the actual micro-grid exists random fluctuations.

[0006] The application solves the above technical problems by the following technical means: The application provides a micro-grid distributed consistency economic scheduling method, characterized by comprising: S1, a communication topology model of the micro-grid system is constructed, and a dynamic graph is used to represent the random communication process thereof; S2, under a random communication environment, an economic dispatch model of the micro-grid is established, including: a power generation cost of the generator, an objective function of the economic dispatch of the micro-grid, an output power limit constraint of the generator, and a supply-demand balance constraint; S3, based on the established economic dispatch model, a calculation form of an optimal solution of the generator output power of the micro-grid and an optimal solution of the incremental cost is derived; S4, related parameters required by the consistent economic dispatch algorithm are initialized; S5, the incremental cost of each generator is iteratively updated to gradually tend to be consistent, and the output power of all generators and the deviation between the output power and the demand are updated to gradually tend to be zero; S6, it is judged whether the deviation between the output power and the demand is 0; if yes, the optimal incremental cost and the optimal generator output power are output; otherwise, step S5 is returned.

[0007] Further, the S1 includes the following steps: S11, the micro-grid is regarded as a bidirectional graph ; wherein, denotes a set of nodes in the micro-grid, is the total number of nodes, is a set of edges, wherein denotes that a communication link exists from node to node ; if node can send information to node , it is called that is an in-neighbor of ; if node can receive information sent by node , it is called that is an out-neighbor of ; it is defined that denotes the number of in-neighbors of node ; it is defined that denotes the number of out-neighbors of node ; S12, randomness of the communication link connection between nodes is represented by an event ; it is represented that a communication link exists, and a probability is used to describe the possibility of the existence of the link, and the size satisfies formula (1): (1) wherein, a specific value of is determined according to the communication characteristics of different communication scenes; thus, a series of dynamic graphs are used to represent the random communication topology.For a set of communication links between the nodes at the moment.

[0008] Further, the S2 comprises the following steps: S21, representing the incremental cost of the nth generator by formula (2): The generation cost of the nth generator: (2) wherein, represents the generation cost of the nth generator; represents the output power of the nth generator; represents the cost coefficient of the nth generator; S22, representing the objective function of the economic dispatch of the micro-grid, the output power limit constraint of the generator and the supply-demand balance constraint by formula (3): , and wherein, (3) wherein, and respectively represent the maximum and minimum values of the output power of the nth generator; represents the total generation demand.

[0009] Further, the S3 comprises the following steps: S31, representing the incremental cost of the nth generator by formula (4): (4) S32, constructing the Lagrange function of formula (3) by formula (5): (5) wherein, represents the Lagrange function; represents the Lagrange multiplier related to the supply-demand balance constraint; according to the first-order optimal condition, the optimal solution is obtained when formula (6) is satisfied: (6) According to formula (6), when the incremental cost of each generator is equal, the output power obtains the optimal solution; S33, according to formula (3) and formula (4), the optimal solution of the incremental cost can be represented by formula (7): (7) wherein, is the optimal solution of the incremental cost;​​​​​ representing the set of generators whose output power is between the maximum and the minimum.

[0010] Further, the related parameters in S4 are as follows: (8) wherein, represents the initial value of the output power of the i-th generator; represents the initial value of the incremental cost of the i-th generator; represents the initial value of the incremental cost of the i-th generator; represents the initial value of the incremental cost of the i-th generator. Further, S5 comprises the following steps: S51, calculating the in-neighbor coefficient of the i-th generator at time t using formula (9):

[0011] (9) wherein, represents the in-neighbor coefficient of the i-th generator at time t; (9) wherein, represents the in-neighbor coefficient of the i-th generator at time t; represents the in-neighbor number of the i-th generator at time t; (9) wherein, represents the in-neighbor coefficient of the i-th generator at time t; represents the in-neighbor number of the i-th generator at time t; S52, calculating the out-neighbor coefficient of the i-th generator at time t using formula (10): (10) wherein, represents the out-neighbor coefficient of the i-th generator at time t; represents the out-neighbor number of the i-th generator at time t; (10) wherein, represents the out-neighbor coefficient of the i-th generator at time t; represents the out-neighbor number of the i-th generator at time t; S53, calculating the incremental cost of the i-th generator at time t using formula (11): (11) wherein, represents the incremental cost of the i-th generator at time t; represents the incremental cost of the i-th generator at time t; (11) wherein, represents the incremental cost of the i-th generator at time t; represents the incremental cost of the i-th generator at time t; (11) wherein, j represents the incremental cost of the i-th generator at time t;​​​​Incremental cost of the generator; represents the switching coefficient of the time point, when the latter term , , on the contrary, when , ; represents the deviation between the power generation and the demand of the generator at the time point ; represents the feedback gain of the generator at the time point ; ; S54, the output power of the generator at the time point is calculated by using formula (12) : (12) S55, the deviation between the power generation and the demand of the generator at the time point is calculated by using formula (13) : (13).

[0012] The application also provides a micro-grid distributed consistent economic dispatching system, characterized by applying the above method during system operation, and comprising the following modules: A communication topology construction module is used to construct a communication topology model of the micro-grid system and to use a dynamic graph to represent the random communication process thereof. An economic dispatching model construction module is used to establish an economic dispatching model of the micro-grid under the random communication environment, including the power generation cost of the generator, the objective function of the economic dispatching of the micro-grid, the output power limit constraint of the generator and the supply-demand balance constraint. An output power and incremental cost calculation module is used to derive the calculation form of the optimal solution of the output power of the micro-grid generator and the optimal solution of the incremental cost based on the established economic dispatching model. An initialization module is used to initialize the related parameters required by the consistent economic dispatching algorithm. An iterative algorithm module is used to iteratively update the incremental cost of each generator so that it gradually tends to be consistent, and to update the output power of all generators and the deviation between the output power and the demand, so that the deviation gradually tends to be zero. An output module is used to judge whether the deviation between the output power and the demand is 0; if yes, the optimal incremental cost and the optimal generator output power are output; otherwise, the iterative algorithm module is returned.

[0013] The application has the following advantages: ​​(1) The present application fully considers the influence of the random communication network during scheduling, especially in the case of network failure or communication delay, the stability of the system can still be maintained. Compared with the traditional method, the present application reduces the dependence on network connection strength and low delay, so that the scheduling system can continue to run in the face of communication uncertainty in practical application, avoiding system collapse or performance degradation caused by unstable communication link.

[0014] (2) Due to the randomness of the communication network, it is often difficult to achieve power balance constraints. The deviation between the power generation and demand of the generator in the iteration process can ensure that the system can meet this constraint throughout the process. At the same time, the feedback gain can be adjusted according to different situations to achieve the fastest convergence speed and improve the system operation efficiency.

[0015] (3) The present application is a completely distributed algorithm, which can dynamically update the local information of each generator node without global information and only communicating with its neighbor nodes, so as to gradually converge to the global optimization goal, significantly reducing the communication burden and network load, so that the system can still run efficiently in large-scale microgrid, especially suitable for application in distributed energy system. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 a flowchart of a microgrid distributed consistency economic dispatch method according to an embodiment of the present application; Figure 2 a schematic diagram of the iteration result of the deviation between the power generation and demand over time according to an embodiment of the present application; Figure 3 a schematic diagram of the iteration result of the generator output power over time according to an embodiment of the present application. DETAILED DESCRIPTION

[0017] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0018] Embodiment 1 The present embodiment provides a microgrid distributed consistency economic dispatch method, as shown in Figure 1 The specific implementation steps include: S1, construct the communication topology model of the microgrid system, and use a dynamic graph to represent its random communication process. The specific implementation steps are as follows: S11, regarding the micro-grid as a two-way graph ; wherein, denotes the set of nodes in the micro-grid, is the total number of nodes, is the set of edges, wherein denotes the node to which the communication link exists; if the node can send information to the node , it is called the in-neighbor of ; if the node can receive information sent by the node , it is called the out-neighbor of ; define denotes the number of in-neighbors of the node ; define denotes the number of out-neighbors of the node ; ; S12, the randomness of the connection of the communication link between nodes is described by events denotes the existence of the communication link , and the probability is used to describe the possibility of the existence of the link, which satisfies formula (1): (1) wherein, the specific value of is determined according to the communication characteristics of different communication scenarios; thus, the random communication topology is represented by a series of dynamic graphs , is the set of communication links between nodes at the moment

[0019] S2, in the random communication environment, an economic dispatching model of the micro-grid is established, including the generation cost of the generator, the objective function of the economic dispatching of the micro-grid, the output power limit constraint of the generator and the supply-demand balance constraint. The specific implementation steps are as follows: S21, formula (2) is used to represent the generation cost of the i-th generator: (2) wherein, denotes the generation cost of the i-th generator; denotes the output power of the i-th generator; , and denote the i-th generator, , , , ​​​​Cost coefficient of a generator; S22. Equation (3) is used to represent the objective function of economic dispatch of the microgrid, the output power limit constraint of the generator, and the supply and demand balance constraint: (3) in, and They represent the first The maximum and minimum output power of the generator; This indicates the total demand for electricity generation.

[0020] S3. Based on the established economic dispatch model, derive the calculation forms for the optimal solution for generator output power and the optimal solution for incremental cost in the microgrid. The specific implementation steps are as follows: S31, using formula (4) to represent the first Incremental cost of generator : (4) S32. Construct the Lagrangian function of equation (3) using equation (5): (5) in, Represent the Lagrange function; This represents the Lagrange multiplier related to the supply and demand balance constraint; according to the first-order optimality condition, the optimal solution is obtained when equation (6) is satisfied: (6) According to equation (6), the output power is optimal when the incremental cost of each generator is equal. S33. Based on equations (3) and (4), the optimal solution for incremental cost is obtained. It can be expressed by equation (7): (7) in, This is the optimal solution for incremental cost; This represents the set of generators whose output power ranges between the maximum and minimum values.

[0021] S4. Initialize the relevant parameters required for the consensus-based economic scheduling algorithm. The specific parameters for initialization are as follows (8): (8) in, Indicates the first The initial value of the output power of the generator; Indicates the first Initial value of the incremental cost of one generator; For the first The initial value of the deviation of each generator.

[0022] S5, iteratively update the incremental cost of each generator to gradually converge, and update the output power of all generators and the deviation between the output power and the demand to gradually converge to zero. The specific implementation steps are as follows: S51, calculate using formula (9) The number of incoming neighbors of the i-th generator at time t; The number of incoming neighbors of the i-th generator at time t; (9) Wherein, The number of incoming neighbors of the i-th generator at time t; The number of incoming neighbors of the i-th generator at time t; The number of incoming neighbors of the i-th generator at time t; The number of incoming neighbors of the i-th generator at time t; The number of incoming neighbors of the i-th generator at time t; The number of incoming neighbors of the i-th generator at time t; S52, calculate using formula (10) The number of outgoing neighbors of the i-th generator at time t; The number of outgoing neighbors of the i-th generator at time t; (10) Wherein, The number of outgoing neighbors of the i-th generator at time t; The number of outgoing neighbors of the i-th generator at time t; The number of outgoing neighbors of the i-th generator at time t; The number of outgoing neighbors of the i-th generator at time t; The number of outgoing neighbors of the i-th generator at time t; The number of outgoing neighbors of the i-th generator at time t; S53, calculate using formula (11) The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; (11) Wherein, The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; The incremental cost of the i-th generator at time t; j The switching factor at time t, when the latter term , , otherwise when , ; The deviation between the power generation and the demand of the i-th generator at time t; The deviation between the power generation and the demand of the i-th generator at time t; The deviation between the power generation and the demand of the i-th generator at time t; The deviation between the power generation and the demand of the i-th generator at time t; ​Indicates the first generator about Feedback gain; S54, Calculate using formula (12) Time of the first Output power of generator : (12) S55, Calculate using formula (13) Time of the first The deviation between the power generation and demand of the generator : (13).

[0023] S6. Determine if the deviation between the output power and the demand is 0; if so, output the optimal incremental cost and the optimal generator output power; otherwise, return to step S5.

[0024] This embodiment also uses MATLAB to simulate the operation of the above algorithm in a microgrid containing four generators. For example... Figure 2 and Figure 3 As shown in the simulation results, the deviation between power generation and demand decreases continuously with iteration, eventually approaching zero, while the generator output power also reaches the optimal solution. Furthermore, at the 6th second, a change in power generation demand was simulated, demonstrating the algorithm's flexibility and rapid adjustment capability in dealing with demand fluctuations. The system can still respond quickly and converge to the optimal value again.

[0025] Example 2 It should be further explained that, based on the same inventive concept, this embodiment also provides a microgrid distributed consensus economic dispatch system. The system operates by applying the method described in Embodiment 1, and includes the following modules: The communication topology construction module is used to construct a communication topology model of a microgrid system and to represent its stochastic communication process using a dynamic graph. The specific execution method of the communication topology construction module is as follows: (1) Treat the microgrid as a two-way graph ;in, This represents the set of nodes in a microgrid. The total number of nodes. Let be the set of edges, where Represents a node To the node The communication link exists; if the node Can send to nodes Sending a message is called... for The neighbor If node Can receive nodes The sent information is called for The neighbor ;definition Represents a node Number of inbound neighbors; definition Represents a node The number of neighbors; (2) The randomness of inter-node communication link connections is achieved through events. Indicates communication link Exists, and with probability The probability of a link existing is described, and its size satisfies equation (1): (1) in, The specific values ​​are determined based on the communication characteristics of different communication scenarios; therefore, random communication topology uses a series of dynamic graphs. express, for A collection of communication links between time nodes.

[0026] The economic dispatch model construction module is used to establish an economic dispatch model for a microgrid under a stochastic communication environment. This model includes: generator generation cost, objective function for microgrid economic dispatch, generator output power constraints, and supply-demand balance constraints. The economic dispatch model construction module comprises the following units: The power generation cost model building unit is used to express the first equation using equation (2). The power generation cost of one generator: (2) in, Indicates the first The cost of generating electricity from a generator; Indicates the first The output power of the generator; , and Indicates the first Cost coefficient of a generator; The objective function and constraint model building unit is used to represent the objective function of economic dispatch of the microgrid, the generator output power limit constraint, and the supply and demand balance constraint using equation (3): (3) in, and They represent the first The maximum and minimum output power of the generator; This indicates the total demand for electricity generation.

[0027] an output power and incremental cost calculation module, configured to derive a calculation form of an optimal solution of output power and an optimal solution of incremental cost of the micro-grid generators based on the established economic dispatching model, wherein the output power and incremental cost calculation module comprises the following units: an incremental cost calculation unit, configured to represent the incremental cost of the i-th generator by using formula (4): ; (4) an optimal solution of output power unit, configured to construct the Lagrange function of formula (3) by using formula (5): ; (5) wherein, represents the Lagrange function; represents the Lagrange multiplier related to the supply-demand balance constraint; according to the first-order optimal condition, the optimal solution is obtained when formula (6) is satisfied: (6) According to formula (6), the optimal solution of output power is obtained when the incremental cost of each generator is equal; an optimal solution of incremental cost unit, configured to derive the optimal solution of incremental cost according to formula (3) and formula (4) which can be represented by formula (7): (7) wherein, is the optimal solution of incremental cost; represents the generator set between the maximum and minimum of output power; an initialization module, configured to initialize the related parameters required by the consistent economic dispatching algorithm; an iteration algorithm module, configured to iteratively update the incremental cost of each generator so that it gradually tends to be consistent, and update the deviation between the output power of all generators and the demand, so that the deviation gradually tends to be zero; an output module, configured to judge whether the deviation between the output power and the demand is 0; if yes, the optimal incremental cost and the optimal generator output power are output; otherwise, the iteration algorithm module is returned.

[0028] The above examples are only used to illustrate the technical solutions of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that the technical solutions recorded in the foregoing examples can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.​​

Claims

1. A micro-grid distributed consistent economic dispatch method, characterized in that, The method comprises the following steps: S1, constructing a communication topology model of a micro-grid system and representing a random communication process of the micro-grid system by a dynamic graph; S2, under a random communication environment, establishing an economic dispatch model of the micro-grid, comprising: a power generation cost of a generator, an objective function of economic dispatch of the micro-grid, an output power limit constraint of the generator, and a supply-demand balance constraint; S3, based on the established economic dispatch model, deriving a calculation form of an optimal solution of output power of the generator of the micro-grid and an optimal solution of incremental cost; S4, initializing related parameters required by a consistency economic dispatch algorithm; S5, iteratively updating the incremental cost of each generator so that the incremental cost gradually tends to be consistent, and updating the output power of all generators and the deviation between the output power and the demand, so that the deviation gradually tends to be zero; S6, judging whether the deviation between the output power and the demand is 0; if yes, outputting an optimal incremental cost and an optimal output power of the generator; otherwise, returning to step S5.

2. The method of claim 1, wherein, The S1 comprises the following steps: S11. Treat the microgrid as a two-way graph. ;in, This represents the set of nodes in a microgrid. The total number of nodes. Let be the set of edges, where Represents a node To the node The communication link exists; if the node Can send to nodes Sending a message is called... for The neighbor If node Can receive nodes The sent information is called for The neighbor ;definition Represents a node Number of inbound neighbors; definition Represents a node The number of neighbors; S12, Randomness of inter-node communication link connection by event Indicating a communication link Existence, and probability of existence Describing the likelihood of a link existing, the size of which satisfies equation (1): (1) wherein, The specific values are determined according to the communication characteristics of different communication scenarios; thus, the random communication topology is represented by a series of dynamic graphs , is the set of communication links between nodes at the moment.

3. The method of claim 1, wherein, The S2 comprises the following steps: S21, the first The power generation cost of the turbine generator: (2) wherein, represents the number of the generator of the cost of power generation of the generator; represents the number of the generator of the output power of the generator; , and represents the number of the generator of the cost coefficient of the generator; S22, adopting formula (3) to represent the objective function of economic dispatch of the micro-grid, the output power limit constraint of the generator, and the supply-demand balance constraint: (3) wherein, and respectively represent the maximum and minimum values of the output power of the generator; of the generator; represents the total amount of power generation demand.

4. The method of claim 3, wherein, The S3 comprises the following steps: S31, the first increment cost of the generator is represented by Equation (4) Incremental cost of the generator : ；(4) S32, adopting formula (5) to construct a Lagrange function of formula (3): ；(5) wherein, L represents a Lagrangian function; λ represents a Lagrangian multiplier associated with the supply-demand balance constraint; according to a first-order optimality condition, an optimal solution is obtained when formula (6) is satisfied: (6) According to formula (6), when the incremental cost of each generator is equal, the output power obtains an optimal solution; S33, according to formula (3) and formula (4), the optimal solution of incremental cost is obtained It can be expressed by formula (7): (7) wherein, is the optimal solution for the incremental cost; denotes the set of generators whose output power is between the maximum and minimum values.

5. The method of claim 4, wherein, The related parameters of S4 are specifically as follows: (8) wherein, represents the initial value of the output power of the nth generator; represents the initial value of the incremental cost of the nth generator; is the initial value of the deviation of the nth generator.

6. The method of claim 2 or 4, wherein, The S5 comprises the following steps: S51, calculate using equation (9) Time of day Coefficient of neighborhood of the table generator: (9) wherein, represents the number of the number of represents the number of the number of S52, calculate using equation (10) Time of day Neighbourhood coefficient of the table generator: (10) wherein, represents the number of out-neighbors of the i-th generator at time t; represents the number of out-neighbors of the i-th generator at time t; S53, calculate using equation (11) Time of day Incremental cost of the onshore generator: (11) in, express Time of the first The incremental cost of one generator; express Time of the first The incremental cost of one generator; express Time of the first j The incremental cost of one generator; express The switching coefficient at time, when the subsequent terms hour, Conversely, when hour, ; express Time of the first The discrepancy between the power generation of the generator and the demand; Indicates the first generator about Feedback gain; S54, calculate using equation (12) Time of day Output power of the generator : (12) S55, calculating using equation (13) the time of day deviation between the amount of power generated by the on-board generator and the demand : (13)。 7. A micro-grid distributed consistent economic dispatch system, characterized in that, The method comprises the following modules: A communication topology construction module, configured to construct a communication topology model of a micro-grid system and represent a random communication process of the micro-grid system by a dynamic graph; An economic dispatch model construction module, configured to, under a random communication environment, establish an economic dispatch model of the micro-grid, comprising: a power generation cost of a generator, an objective function of economic dispatch of the micro-grid, an output power limit constraint of the generator, and a supply-demand balance constraint; An output power and incremental cost calculation module, configured to, based on the established economic dispatch model, derive a calculation form of an optimal solution of output power of the generator of the micro-grid and an optimal solution of incremental cost; An initialization module, configured to initialize related parameters required by a consistency economic dispatch algorithm; An iterative algorithm module, configured to iteratively update the incremental cost of each generator so that the incremental cost gradually tends to be consistent, and update the output power of all generators and the deviation between the output power and the demand, so that the deviation gradually tends to be zero; An output module, configured to judge whether the deviation between the output power and the demand is 0; if yes, output an optimal incremental cost and an optimal output power of the generator; otherwise, return to the iterative algorithm module.

8. The microgrid distributed consistent economic dispatch system of claim 7, wherein, The communication topology construction module specifically performs in the following manner: (1) Treat the microgrid as a two-way graph ;in, This represents the set of nodes in a microgrid. The total number of nodes. Let be the set of edges, where Represents a node To the node The communication link exists; if the node Can send to nodes Sending a message is called... for The neighbor If node Can receive nodes The sent information is called for The neighbor ;definition Represents a node Number of inbound neighbors; definition Represents a node The number of neighbors; (2) Randomness of inter-node communication link connections through events representing a communication link exists, with a probability describes the likelihood of a link existing, the size of which satisfies equation (1): (1) wherein, The specific values are determined according to the communication characteristics of different communication scenarios; thus, the random communication topology is represented by a series of dynamic graphs representing, is the set of communication links between nodes at the moment.

9. The microgrid distributed consistent economic dispatch system of claim 7, wherein, The economic dispatch model construction module comprises the following units: a power generation cost model construction unit configured to express the power generation cost of the power generator of the nth power plant by formula (2): a power generation cost model construction unit configured to express the power generation cost of the power generator of the nth power plant by formula (2): (2) wherein, represents the number of the generator cost of the generator; represents the number of the generator output power of the generator; , and represents the number of the generator cost coefficient of the generator; An objective function and constraint condition model construction unit, configured to adopt formula (3) to represent the objective function of economic dispatch of the micro-grid, the output power limit constraint of the generator, and the supply-demand balance constraint: (3) wherein, and respectively represent the maximum and minimum values of the power output of the generator; of the generator; represents the total amount of power generation demand.

10. The microgrid distributed consistent economic dispatch system of claim 9, wherein, The output power and incremental cost calculation module comprises the following units: An incremental cost calculation unit for expressing the incremental cost of the generator of the station by formula (4) of the station : ； (4) An output power optimal solution unit, configured to adopt formula (5) to construct a Lagrange function of formula (3): ；(5) wherein, L represents a Lagrangian function; λ represents a Lagrangian multiplier associated with the supply-demand balance constraint; according to a first-order optimality condition, an optimal solution is obtained when formula (6) is satisfied: (6) According to formula (6), when the incremental cost of each generator is equal, the output power obtains an optimal solution; An incremental cost optimal solution unit for deriving an optimal solution of the incremental cost according to equation (3) and equation (4) This can be expressed by equation (7): (7) wherein, is the optimal solution for the incremental cost; denotes the set of generators whose output power is between the maximum and minimum values.

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