Multi-network collaborative coal mine integrated energy system scheduling method and system under virtual energy storage support

Abstract

The invention provides a multi-network collaborative coal mine integrated energy system scheduling method and system under virtual energy storage support, and the method comprises the steps: building a coal mine heat supply network operation model containing multiple heat sources and a coal transportation network operation model, and obtaining a multi-network coupling relation of power supply, heat supply and coal transportation through analysis; constructing a coal mine multi-network collaborative optimization operation model; the method comprises the following steps: analyzing flexible operation characteristics of multiple links of coal mine drainage, coal transportation and heat supply from coal mine production and energy supply link processes, and establishing a multiple virtual energy storage fusion operation model of coal mine drainage, coal transportation and mine heat supply; constructing a multi-objective optimization scheduling model by taking the minimum comprehensive energy consumption cost of the coal mine as an economical objective and the minimum node voltage deviation as a safety objective; and solving the multi-objective optimization scheduling model by using a normalization normal constraint method to obtain a uniform Pareto leading-edge solution, and deciding a compromise solution from the obtained Pareto leading-edge solution through fuzzy decision to obtain an optimal operation scheme of the system.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of optimal operation of integrated energy systems, and particularly relates to a coal mine integrated energy system scheduling method and system under the support of virtual energy storage and multi-network coordination. BACKGROUND

[0002] The coal mine area has unique development conditions in energy transformation due to its rich land resources and geographical coincidence with new energy-rich areas. The current energy management mode of coal mines is relatively rough, and multiple energy subsystems such as electricity, heat, and coal transportation lack overall coordination, which not only restricts the efficient consumption of new energy but also poses potential risks to the safe operation of the power grid. Therefore, how to fully tap the flexible scheduling potential of coal mine production and energy supply and take advantage of the coordinated operation of the electricity-heat-coal multi-network is of great significance to the economic and safe operation of the coal mine energy system.

[0003] Existing research on coal mine integrated energy systems rarely discusses the flexible scheduling potential of coal mine drainage, coal transportation, and heating, that is, the improvement of virtual energy storage on the energy economy of coal mine energy systems needs to be further explored. There is no use of coal mine's own flexible and controllable resources to suppress voltage fluctuations, ignoring the support of coal mine drainage, transportation, and heating to the voltage operation safety of the coal mine distribution network under high proportion of wind and light access. At the same time, existing research mostly simplifies the physical network of coal mine power distribution, heating, and coal transportation, ignores the dynamic characteristics of the heat network energy transmission and the coupling relationship between electricity-heat-coal networks in energy flow and operating state, and only optimizes the economy of multi-network operation, failing to reflect the important role of mutual coordination and mutual support between networks in the safe, stable, and efficient operation of coal mine energy systems.

[0004] Therefore, there is an urgent need for an economic and safe scheduling method for coal mine integrated energy systems under the support of virtual energy storage and multi-network coordination. SUMMARY

[0005] In view of the above problems, the present application provides a coal mine integrated energy system scheduling method and system under the support of virtual energy storage and multi-network coordination. The present application realizes the multi-objective coordinated optimization of the energy economy of coal mines and the voltage operation safety of coal mine distribution networks under high penetration of wind and light access while ensuring the safety of mine production.

[0006] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0007] The present application provides a coal mine integrated energy system scheduling method under the support of virtual energy storage and multi-network coordination, which comprises the following steps:

[0008] A topology analysis was conducted on the power distribution network, heating network, and coal transportation network in the integrated energy system of a coal mine, and an operational topology for the integrated energy system of a coal mine with multi-network collaboration was constructed.

[0009] Based on the multi-network collaborative operation topology of the coal mine integrated energy system, operation models of coal mine heating network and coal transportation network with multiple heat sources are established respectively. By analyzing the coupling relationship of power supply, heating and coal transportation networks, a multi-network collaborative optimization operation model for coal mine is constructed.

[0010] Starting from the coal mine production and energy supply process, this paper analyzes the flexible operation characteristics of multiple links in coal mine drainage, coal transportation and heating, and establishes a multi-virtual energy storage integrated operation model for coal mine drainage, coal transportation and mine heating.

[0011] Based on the operational topology of a multi-network collaborative coal mine integrated energy system, and taking into account the constraints of multi-network collaborative operation and the constraints of integrated operation of various virtual energy storage systems, a multi-objective optimization scheduling model for economic and safety of a multi-network collaborative coal mine integrated energy system supported by virtual energy storage is constructed, with the lowest comprehensive energy cost of the coal mine as the economic objective and the minimum node voltage deviation as the safety objective.

[0012] The normalized normal constraint method is used to solve the multi-objective optimization scheduling model to obtain a uniform Pareto front solution. Then, a compromise solution is determined from the obtained Pareto front solution through fuzzy decision-making to obtain the optimal system operation scheme.

[0013] The uniform Pareto front solution includes the comprehensive energy cost of coal mines, the voltage operation deviation of coal mine distribution network nodes, the renewable energy consumption status, node voltage amplitude and drainage, and the operation status of virtual energy storage for coal transportation and heating.

[0014] In one embodiment, the multi-network collaborative optimization operation model includes: a coal mine heating network operation model with heat source, a coal transportation network operation model, and a coal mine distribution network operation model with electricity-heat-coal coupling.

[0015] In one implementation, the coal mine heating network operation model of the heat source consists of a heat exchange head station model, node flow continuity equations, and a heat exchange station model, specifically:

[0016] The heat exchanger model is as follows:

[0017]

[0018] In the formula, These represent the heat output generated by the exhaust air source heat pump, water source heat pump, and ground source heat pump, respectively; c w This refers to the specific heat capacity of hot water. The supply and return water temperatures at the first heat exchange station at time t; is the air volume of the mine ventilation at time t; p is the air density of the mine ventilation; h1, h2 are the enthalpy values before and after heat extraction of the mine ventilation, respectively; V vam is the average air density of the mine ventilation; h1, h2 are the enthalpy values before and after heat extraction of the mine ventilation, respectively; V t gw is the water inflow of the water source heat pump at time t; p1, p2 are the fitting coefficients of the water source heat pump in the heating state; is the electric power consumed by the ground source heat pump at time t; COP gshp is the energy efficiency coefficient of the ground source heat pump; m w is the hot water mass flowing through the heat exchange first station.

[0019] The mine heat network node flow continuity equation is:

[0020]

[0021] In the formula, m are the sets of pipes ending and starting from the node n connected with the node n, respectively; q j,t , q k,t are the hot water mass flow rates in the pipes j and k at time t, respectively; is the outlet temperature of the pipe j at time t; is the inlet temperature of the pipe k at time t;

[0022] The heat exchange station model is as follows:

[0023]

[0024] In the formula, m i is the hot water mass flowing through the pipe i; are the supply and return water temperatures passing through the heat exchange station i at time t; indicate the bathing, building heating and shaft freezing heat loads of the coal mine heat exchange station i at time t, respectively.

[0025] In an embodiment, the coal transportation network model is as follows:

[0026]

[0027] In the formula, W i,t is the coal production of the coal mining face node i at time t; is the incoming and outgoing coal quantity of the auxiliary shaft coal bunker node j at time t; l j is the set of coal mining face nodes associated with the auxiliary shaft coal bunker node j; W i,t is the coal production of the coal mining face node i at time t; is the incoming and outgoing coal quantity of the main shaft coal bunker node k at time t; J k is the set of auxiliary shaft coal bunker nodes associated with the main shaft coal bunker node k; is the coal input of the ground bunker at time t; K is the set of main shaft bunker nodes associated with the ground bunker node.

[0028] In an embodiment, the electric-thermal-coal coupled coal mine power distribution network operation model comprises: an electric-thermal coupling relationship, an electric-coal coupling relationship, and an electric-thermal-coal coupling relationship.

[0029] The electric-thermal coupling relationship is expressed as:

[0030]

[0031] wherein, is the active and reactive power consumed by the heat pump; is the heat pump heating power; θ h is the power factor angle when the heat pump is running; COP h is the energy efficiency coefficient of the heat pump; h is the set of heating devices, h∈{vamhp, gwhp, gshp}, vamhp, gwhp, gshp respectively represent the air source heat pump, water source heat pump and ground source heat pump.

[0032] The electric-coal coupling relationship is:

[0033]

[0034] wherein, F BC,t , V BC,t is the active and reactive power consumed by each level belt conveyor at time t, and the coal feed rate and belt running speed; θ BC is the power factor angle of the belt conveyor running; η d , η m , θ1, θ2, θ3, θ4 are design-related parameters;

[0035] The electric-thermal-coal coupling relationship is:

[0036]

[0037] wherein, and are the active and reactive power consumed by the coal belt conveyor and the heat pump heating of node j at time t; and are the active and reactive power generated by the gas generator, wind power generation, and photovoltaic power generation; P ij,t , Q ij,t are the active and reactive power of the first end of branch ij at time t; are the active and reactive load of node j at time t; π(j), δ(j) are the first and last node sets of the branch connected to node j; I ij,tis the square of the amplitude of the current through branch ij at time t; r ij is the resistance and reactance of branch ij; U ij is the square of the amplitude of the voltage at node i at time t. i,t is the square of the amplitude of the voltage at node i at time t.

[0038] In an embodiment, the coal mine drainage, coal transportation and mine heating multi-virtual energy storage integrated operation model includes a coal mine drainage virtual energy storage operation model, a coal transportation virtual energy storage operation model and a mine heating virtual energy storage operation model.

[0039] In an embodiment, the coal mine drainage virtual energy storage operation model is:

[0040]

[0041] In the formula, V t wp is the power consumption and discharge of the drainage pump at time t; D is the lift; p gw is the mine water inflow density; g is the acceleration of gravity; η gw is the drainage pump efficiency; V t sp , are the storage capacity, inflow and outflow of the pit bottom water sump at time t, respectively; is the maximum capacity of the pit bottom water sump;

[0042] The coal transportation virtual energy storage operation model is:

[0043]

[0044] In the formula, S j,t , are the upper and lower limits of the coal storage amount of the auxiliary shaft coal bunker j at time t, respectively; M k,t , are the upper and lower limits of the coal storage amount of the main shaft coal bunker k at time t, respectively;

[0045] The mine heating virtual energy storage operation model is:

[0046] In the heating pipeline, the change in water temperature at the inlet will slowly spread to the outlet, and the transmission delay is basically consistent with the time of hot water flowing through the pipeline. In this paper, the water temperature at the outlet of each period is calculated through the time series of the transmission delay and the historical data of the water temperature at the inlet of the pipeline, combined with the heat loss in the transmission process.

[0047]

[0048] In the formula, L j , d j , qj Lj, D, m, ρ w ρw Tj, in C1, C2, C3, Tj, in am T0 τj wherein ceil(·) Δt

[0049] The virtual energy storage characteristic of the mine heating system is directly reflected, and the virtual energy storage power of the heating network is quantitatively described as:

[0050]

[0051] wherein, Pj, loss Tj, in Pj, virt j αj, loss, N, Tj, loss am T0

[0052] In an embodiment, the economic target comprehensively considers the purchase cost of energy, the operation and maintenance cost of equipment, and the network loss cost of the coal mine energy system, and is specifically expressed as:

[0053]

[0054] wherein, c grid Pj, t, k Ck, t Pj, k, t ij,t Iij, t, 2 ij r, ij Ω loss c

[0055] In an embodiment, the voltage deviation of the coal mine power distribution network is introduced into the target function, and is expressed as:

[0056]

[0057] wherein, U i,t U, i, t, 2 th U, ideal, 2 N T

[0058] The application also provides a coal mine integrated energy system scheduling system under virtual energy storage support and multi-network cooperation, the system comprising:

[0059] A multi-network cooperation coal mine integrated energy system operation topology module is constructed to perform topology analysis on the power distribution network, the heating network and the coal transportation network in the coal mine integrated energy system, and to construct a multi-network cooperation coal mine integrated energy system operation topology.

[0060] A multi-network cooperation optimization operation model construction module is used to establish a coal mine heating network operation model and a coal transportation network operation model based on the multi-network cooperation coal mine integrated energy system operation topology, and to construct a coal mine multi-network cooperation optimization operation model through the analysis of the power supply, heating supply and coal transportation multi-network coupling relationship.

[0061] A multi-virtual energy storage fusion operation model construction module is used to analyze the coal mine drainage, coal transportation and heating multi-link flexible operation characteristics from the coal mine production and energy supply link processes, and to establish a coal mine drainage, coal transportation and mine heating multi-virtual energy storage fusion operation model.

[0062] A multi-objective optimization scheduling model construction module is used to construct a coal mine integrated energy system economic safety multi-objective optimization scheduling model under virtual energy storage support and multi-network cooperation according to the multi-network cooperation coal mine integrated energy system operation topology, taking into account the coal mine multi-network cooperation operation constraints and the multi-virtual energy storage fusion operation constraints, with the minimum coal mine integrated energy cost as the economic target and the minimum node voltage deviation as the safety target.

[0063] A solution module is used to solve the multi-objective optimization scheduling model by using the normalized normal constraint method to obtain uniform Pareto frontier solutions, and to obtain a compromise solution from the obtained Pareto frontier solutions through fuzzy decision making to obtain the best system operation scheme.

[0064] The uniform Pareto frontier solutions include the coal mine integrated energy cost, the coal mine power distribution network node voltage operation deviation, the renewable energy consumption situation, the node voltage amplitude and the virtual energy storage operation state of the drainage, coal transportation and heating.

[0065] The application has the following advantages:

[0066] On the basis of fully characterizing the virtual energy storage characteristics of coal mine drainage, coal transportation and heat supply, the electric-thermal-coal multi-network coupling characteristics are considered, that is, the power distribution network provides power support for the heat pump heating in the heat network and the belt conveyor in the coal transportation network, and the load and coal transportation fluctuation in turn affects the power flow of the power distribution network. Through overall scheduling of the water storage amount of the water tank, the storage amount of the coal bunker and the virtual energy storage state of the heat network, the energy flow complementation and dynamic support among the electric-thermal-coal multi-network are fully played, the coal mine energy system can break through the constraint of rigid operation, release the potential of flexible and controllable resource scheduling of the coal mine itself, improve the wind and light consumption level, and realize the economic and safe operation of the coal mine energy system under high penetration rate of wind and light access. BRIEF DESCRIPTION OF DRAWINGS

[0067] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate one implementation of the present application and together with the description serve to explain the present application. Obviously, the accompanying drawings are only some embodiments of the present application and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0068] Figure 1 The flow chart of the coal mine integrated energy system scheduling method under the virtual energy storage support of the embodiment of the present application is provided.

[0069] Figure 2 The coal mine integrated energy system topology of the electric-thermal-coal multi-network collaborative operation in the embodiment of the present application is provided.

[0070] Figure 3 The Pareto frontier solution obtained based on the normalized normal constraint solving in the embodiment of the present application is provided.

[0071] Figure 4 The change of the coal storage amount of the underground coal bunker in scenario 4 provided by the specific embodiment of the present application is provided.

[0072] Figure 5 The change of the water storage amount of the underground water tank in scenario 4 provided by the specific embodiment of the present application is provided.

[0073] Figure 6 The virtual energy storage power of the heat network in scenario 4 provided by the specific embodiment of the present application is provided.

[0074] Figure 7 The node voltage amplitude distribution of scenario 4 provided by the specific embodiment of the present application is provided.

[0075] It should be noted that these drawings and textual descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0076] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only 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 of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0077] The virtual energy storage supported multi-network coordinated coal mine integrated energy system scheduling proposed by the present application will be described below in combination with the embodiments and the drawings.

[0078] A virtual energy storage supported multi-network coordinated coal mine integrated energy system scheduling method of the present application, as shown in Figure 1 , comprises the following steps:

[0079] Step S100: topological analysis is respectively performed on the selected power distribution network, heating network and coal transportation network in the integrated energy system of the coal mine, and an electric-thermal-coal multi-network coordinated coupled coal mine integrated energy system operation topology is constructed.

[0080] The electric-thermal-coal multi-network coordinated coupled coal mine integrated energy system operation topology is as shown in Figure 2 . The topology structure is composed of a mine area integrated power distribution network, a coal transportation network and a coal mine heating network. The mine area integrated power distribution network contains wind and light power generation and gas power generation equipment, and provides power supply for the entire mine integrated energy system. The coal transportation network is composed of a belt conveyor and a shaft bottom coal bunker under a radial topology, and the belt conveyor transports raw coal from underground to the ground coal bunker according to the transportation scheduling requirements by consuming the power of the mine area power distribution network. The coal mine heating network transports the converted heat energy to each heat load node of the coal mine through a waste air source heat pump, a water source heat pump and a ground source heat pump unit. The mine area integrated power distribution network and the coal transportation network realize the coordination of material transportation and energy scheduling through the power-driven belt conveyor, and at the same time realize the coordination of heating function and energy scheduling with the coal mine heating network through various heat pump units. Electric-thermal-coal coordination and coupling jointly guarantee the safe and stable and economic and efficient operation of coal mine production energy consumption.

[0081] Step S200: based on the multi-network coordinated coal mine integrated energy system operation topology, a coal mine heating network operation model containing multiple heat sources and a coal transportation network operation model are respectively established, and through analysis of the power supply, heating supply, coal transportation multi-network coupling relationship, a coal mine multi-network coordinated optimal operation model is constructed.

[0082] The electric, thermal and coal networks are coupled with each other through various power equipment, forming a multi-network coordinated operation mode with the power distribution network as the core, and the electric-thermal-coal cooperates with each other to jointly maintain the safe and stable operation of the coal mine energy production, distribution and consumption links.

[0083] Furthermore, the coal mine multi-network collaborative optimization operation model includes the coal mine multi-source heating network operation model, the coal transportation network operation model, and the electricity-heat-coal collaborative optimization operation model.

[0084] Coal mining generates abundant exhaust air, water inflows, and geothermal resources, which possess considerable potential for thermal energy utilization. By combining these resources with clean and efficient heat pump technology, and consuming minimal electricity, they can be centrally connected to the coal mine heating network as heat sources, providing stable and reliable thermal energy for various heat loads such as shaft frost protection and building heating. Coal mine heating systems typically employ a staged heat exchange model, with the primary heating station responsible for heat exchange between exhaust air source heat pumps, water source heat pumps, and the primary pipeline network, thereby constructing a centralized heating system centered on various derived resources such as exhaust air, water inflows, and geothermal energy.

[0085] For any type of heating network, the flow continuity equation at nodes must be satisfied. The heating network should also satisfy the conservation of heat energy; heat media from different pipes should mix at the same node after flowing in, and the temperature of the mixed media flowing out of that node should be the same.

[0086] As a key node, the heat exchange station undertakes the task of heat exchange between the primary pipeline network and the diverse heat loads of the coal mine. The coal mine's heat load mainly includes three categories: shaft antifreeze, building heating, and hot water for bathing. Its scale is affected by factors such as regional temperature, time of day, and personnel work conditions. The system adapts to changes in heat load by adjusting the supply and return water temperatures at the heat source, while maintaining a constant hot water mass flow rate within the pipeline network.

[0087] Furthermore, the operation model of a multi-heat-source coal mine heating network is represented as follows:

[0088] The operating model for the first heat exchange station is as follows:

[0089]

[0090] In the formula, These represent the heat output generated by the exhaust air source heat pump, water source heat pump, and ground source heat pump, respectively; c w This refers to the specific heat capacity of hot water. The supply and return water temperatures at the first heat exchange station at time t; Let ρ be the mine exhaust air volume at time t; vam Y represents the average air density of the exhaust air; h1 and h2 are the enthalpy values ​​of the exhaust air before and after heat extraction, respectively; t gw p1 and p2 are the water flow rate at time t for heat extraction by the water source heat pump; p1 and p2 are the fitting coefficients of the water source heat pump in heating mode. The electrical power consumed by the ground source heat pump at time t; COP gshp The coefficient of performance (COP) of a ground source heat pump; mw the hot water mass flowing through the heat exchange first station.

[0091] The coal mine heat network node flow continuity equation is:

[0092]

[0093] wherein, are the sets of pipes ending and starting from node n, respectively; q j,t , q k,t are the hot water mass flow rates in pipes j and k at time t, respectively; is the outlet temperature of pipe j at time t; is the inlet temperature of pipe k at time t.

[0094] The heat exchange station operation model is:

[0095]

[0096] wherein, m i is the hot water mass flowing through pipe i; are the supply and return water temperatures through heat exchange station i at time t; are the bath, building heating and shaft freezing prevention heat loads of coal mine heat exchange station i at time t, respectively.

[0097] The coal transportation network comprises multiple levels of coal transportation nodes and belt conveyors. The coal transportation nodes include a coal mining face node, a auxiliary shaft coal bunker node, a main shaft coal bunker node and a ground coal bunker node. The transportation nodes are connected in sequence by belt conveyors to form a radial transportation network converging from the coal mining face to the ground coal bunker. The coal mass transported in each branch of the belt conveyor can be regarded as the coal flow between the transportation nodes of different transportation levels. The coal flow only flows in one direction from the coal mining face to the ground coal bunker.

[0098] Further, the coal transportation network model is as follows:

[0099]

[0100] wherein, W i,t is the coal production of the coal mining face node i at time t; are the incoming and outgoing coal quantities of the auxiliary shaft coal bunker node j at time t; l j is the set of coal mining face nodes associated with the auxiliary shaft coal bunker node j; W i,t is the coal production of the coal mining face node i at time t; are the incoming and outgoing coal quantities of the main shaft coal bunker node k at time t; J k is the set of auxiliary shaft coal bunker nodes associated with the main shaft coal bunker node k; is the coal input of the ground coal bunker at time t; K is the set of main shaft coal bunker nodes associated with the ground coal bunker node.

[0101] Further, the electric-thermal-coal coupled coal mine power distribution network operation model includes: electric-thermal coupling relationship, electric-coal coupling relationship and electric-thermal-coal coupling relationship.

[0102] ①Electric-thermal coupling relationship: The heat supply network relies on the heat pump unit to consume electric energy to convert low-grade waste heat such as ventilation air and water into high-grade heat energy, and to build an electric-thermal coupled energy conversion link. Changes in heat load will cause fluctuations in the power consumption of the heat pump, thereby affecting the power flow distribution of the power grid; at the same time, changes in power grid power flow will also affect the stability of the heat pump operation and the heat supply capacity.

[0103]

[0104] wherein, is the active and reactive power consumed by the heat pump; is the heat pump heating power; θ h is the power factor angle of the heat pump in operation; COP h is the energy efficiency coefficient of the heat pump; h is the set of heat supply equipment, h ∈ {vamhp, gwhp, gshp}, vamhp, gwhp, gshp represent ventilation air source heat pump, water source heat pump and ground source heat pump respectively.

[0105] ②Electric-coal coupling relationship: The coal transportation network relies on electrically driven equipment such as belt conveyors to complete the continuous transportation and lifting of raw coal underground, and its operation is highly dependent on power supply. The power of the conveying system has strong rigidity characteristics, and changes in its load directly affect the power distribution of the power distribution network, affecting the power flow distribution. At the same time, power grid power flow anomalies or power supply fluctuations may also affect the efficiency and safety of coal transportation.

[0106]

[0107] wherein, F BC,t , V BC,t is the active and reactive power consumed by the belt conveyor at time t and the feed rate of coal and the running speed of the belt; θ BC is the power factor angle of the belt conveyor in operation; η d , η m , θ1, θ2, θ3, θ4 are design-related parameters.

[0108] ③Electricity-heat-coal coupling: The heat pump heating relies on electricity driving, and the coal transportation relies on the operation of electric power equipment. The load and coal transportation volume change affect the power flow distribution of the coal mine distribution network, and the state of the power grid in turn restricts the operation of the heat network and the coal transportation network. The electric-heat-coal network is interrelated and cooperatively supports the safe and stable operation of the overall system. Considering that the coal mine distribution network has many branches and is in a radial form, the Distflow model after second-order cone relaxation can be used to accurately calculate the power flow distribution in the coal mine power supply network, supporting the coordinated optimization of the system.

[0109]

[0110] wherein, and are the active and reactive power consumed by the coal belt conveyor and the heat pump heating of node j at time t; and are the active and reactive power generated by the gas generator, wind power generation, and photovoltaic power generation; P ij,t , Q ij,t are the active and reactive power at the head of branch ij at time t; are the active and reactive load of node j at time t; π(j), δ(j) are the sets of the head and tail nodes connected to node j; I ij,t is the square of the current amplitude through branch ij at time t; r ij , x ij are the resistance and reactance of branch ij; U i,t is the square of the voltage amplitude of node i at time t.

[0111] Step S300: Starting from the coal mine production and energy supply process, the flexible operation characteristics of coal mine drainage, coal transportation, and heating are analyzed, and a multi-virtual energy storage integrated operation model of coal mine drainage, coal transportation, and mine heating is established.

[0112] The virtual energy storage of the coal mine comes from: ① The drainage pump pumps the water flowing into the sump at the bottom of the well to the ground. Due to the storage characteristics of the sump, it provides space for flexible operation of the drainage pump, showing the ability of peak shaving in time sequence similar to electric energy storage; ② The belt conveyor and the coal bunker at the bottom of the well can be flexibly coordinated according to the electricity price. During the process of coal mining and transportation, the coal bunker at the bottom of the well has significant coal storage characteristics, which provides a flexible buffer margin for the continuous and stable operation of the belt conveyor, which can be regarded as an energy storage-release process; ③ The delay between the heat source and the heat load makes the heat network have the characteristics of heat storage, so the heating system does not need to add a heat storage device and can also have the ability of heat storage, making the heating link more flexible.

[0113] Further, the coal mine drainage, coal transportation and mine heating virtual energy storage fusion operation model includes: a coal mine drainage virtual energy storage operation model, a coal transportation virtual energy storage operation model and a mine heating virtual energy storage operation model.

[0114] (1) The coal mine drainage virtual energy storage operation model is represented as:

[0115]

[0116] In the formula, V t wp is the power consumption of the drainage pump at time t, and the drainage volume; D is the lift; p gw is the mine water inflow density; g is the acceleration of gravity; η gw is the drainage pump efficiency; V t sp , is the storage capacity of the well bottom water sump at time t, the water inflow, and the water outflow, respectively; is the maximum capacity of the well bottom water sump.

[0117] (2) The coal transportation virtual energy storage operation model is:

[0118]

[0119] In the formula, S j,t , is the coal storage amount of the auxiliary shaft coal bunker j at time t, and the upper and lower limits of the storage amount, respectively; M k,t , is the coal storage amount of the main shaft coal bunker k at time t, and the upper and lower limits of the storage amount, respectively.

[0120] (3) The mine heating virtual energy storage operation model is:

[0121] In the heating pipeline, the water temperature change at the inlet will slowly expand to the outlet, and the transmission delay is basically consistent with the time of hot water flowing through the pipeline. In this paper, the time series of the transmission delay and the water temperature history data at the inlet of the pipeline are combined with the heat loss in the transmission process to calculate the water temperature at the outlet of each period.

[0122]

[0123] In the formula, L j , d j , q j is the length, inner diameter and mass flow of the pipeline j; p w is the density of hot water; is the outlet temperature of the pipeline j at time t; the superscript in represents the pipeline inlet side; C1, C2 and C3 are weight coefficients; T am is the ambient temperature; the heat network transmission delay time; wherein is a rounding-up function; Δt is a unit scheduling time.

[0124] Due to the large time scale of the heat energy transmission dynamic process, the heat of the hot water entering and flowing out of the pipeline in the same period is not necessarily equal. The heat network can play the role of buffering energy and delaying response, thereby showing virtual energy storage charging and discharging characteristics similar to an energy storage system to the outside, making the heat energy more flexible and more in line with reality.

[0125] To intuitively reflect the virtual energy storage characteristics of mine heating, the virtual energy storage power of the heat network is quantitatively described as:

[0126]

[0127] wherein, is the heat loss power of the heating pipeline at time t; is the inlet water temperature of the heat network supply and return water pipeline j at time t; is the virtual energy storage power of the heat network at time t; k j is the heat loss coefficient of the pipeline; N is the total number of heat network supply and return water pipelines; T am is the ambient temperature.

[0128] Step S400: According to the multi-network coordinated coal mine integrated energy system operation topology, considering the multi-network coordinated operation constraints of the coal mine, the multi-type virtual energy storage integrated operation constraints, taking the minimum coal mine integrated energy consumption cost as the economic target and the minimum node voltage deviation as the safety target, an economic safety multi-objective optimization scheduling model of the multi-network coordinated coal mine integrated energy system under the support of virtual energy storage is constructed.

[0129] The optimization scheduling model coordinates the energy distribution and operation state among the electric-thermal-coal multi-networks, plays the virtual energy storage characteristics of the coal mine drainage, transportation and heating, realizes the coordinated regulation of heat pumps, electrically driven transportation equipment and related loads, reduces the integrated energy consumption cost, alleviates the voltage fluctuation of the power grid, and improves the economic efficiency and safety of the overall operation of the system.

[0130] (1) The multi-network coordinated operation constraints of the coal mine include:

[0131] The coal mine heating network operation model with multiple heat sources is specifically formula (1) to formula (7); the coal mine coal transportation network operation model is specifically formula (8) to formula (10); the coal mine distribution network operation model coupled with electricity-heat-coal is specifically formula (11) to formula (19).

[0132] (2) The multi-type virtual energy storage integrated operation constraints of the coal mine include:

[0133] The coal mine drainage virtual energy storage operation model is specifically formula (20) to formula (22); the coal transportation virtual energy storage operation model is specifically formula (23) to formula (26); and the mine heating virtual energy storage operation model is specifically formula (27) to formula (31).

[0134] (3) The multi-objective function with the economic target of the lowest comprehensive energy utilization cost of the coal mine and the safety target of the minimum node voltage deviation comprises:

[0135] ① The economic target comprehensively considers the system operation energy purchasing cost, the equipment operation and maintenance cost and the network loss cost.

[0136]

[0137] In the formula, k is the controllable equipment, c grid is the power purchasing cost per unit; k is various controllable equipment; is the operation and maintenance cost of the equipment k; is the operation power of the equipment k at the time t; I ij,t is the square of the current amplitude of the branch ij at the time t; r ij is the resistance of the branch ij; Ω is the branch set of the mine area power distribution network; c loss is the network loss penalty coefficient.

[0138] ② The node voltage deviation of the mine area power distribution network is introduced into the objective function in view of the problem that the high proportion of wind and light distributed power sources connected to the mine area power distribution network causes the node voltage fluctuation during the optimization scheduling.

[0139]

[0140] In the formula, U i,t is the square of the voltage amplitude of the node i at the time t; U th is the square of the ideal operation voltage amplitude; N is the total number of nodes of the mine area power distribution network; and T is the total time number of the day-ahead scheduling.

[0141] In summary, the economic and safety multi-objective optimization scheduling model is expressed as:

[0142]

[0143] Step S500: The multi-objective optimization scheduling model is solved by using the normalized normal constraint method, the uniform Pareto frontier solution is obtained, a compromise solution is decided from the obtained Pareto frontier solution by fuzzy decision, and the best operation scheme of the system is obtained.

[0144] The uniform Pareto frontier solution comprises the comprehensive energy utilization cost of the coal mine, the node voltage operation deviation of the coal mine power distribution network, the renewable energy consumption situation, the node voltage amplitude and the virtual energy storage operation state of the drainage, coal transportation and heating.

[0145] Further, by determining the extreme point of the economy target and the safety target through single-target optimization, constructing the normalized solution space and segmenting the utopia line, taking the economy target f1 as the main target, constructing a single-target optimization model shown in the following formula, and generating a uniformly distributed Pareto frontier solution set;

[0146]

[0147] In the formula, the vector is an equal-distance segmentation vector on the vector , the normalized solution space is , single-target optimization is performed on f1 to obtain the minimum value , and the corresponding optimal solution is substituted into f2 to obtain Similarly, single-target optimization is performed on f2 to obtain the corresponding g(x)≤0 and h(x)=0 represent inequalities and equations in the above model.

[0148] The fuzzy membership function of the economy and safety target functions is defined, the minimum membership degree is taken as an evaluation index, the optimal solution maximizing the index is selected from the Pareto frontier, and the best operation scheme of the system is determined.

[0149] Based on the production, energy supply and multi-network coupling characteristics of coal mines, the present application establishes an electric-thermal-coal multi-network collaborative operation topology of a coal mine comprehensive energy system, and further abstracts an electric-thermal-coal multi-network collaborative operation model; analyzes the multi-link flexible operation characteristics, and constructs a virtual energy storage fusion operation model of mine drainage, coal transportation and heat supply; comprehensively considers the coal mine multi-network collaborative operation constraints, production and virtual energy storage operation constraints, and establishes a coal mine energy system comprehensive energy consumption cost minimum and coal mine power distribution network node voltage operation deviation minimum coal mine comprehensive energy system multi-objective optimization scheduling model; the normalized method is used to generate a Pareto frontier solution set, and the optimal operation scheme is selected through fuzzy decision; and finally, the coal mine comprehensive energy system optimization scheduling scheme considering economy and safety is output.

[0150] In an embodiment, a coal mine comprehensive energy system scheduling system under the support of virtual energy storage and multi-network collaboration is provided, which comprises:

[0151] A multi-network collaborative coal mine comprehensive energy system operation topology module is constructed, which is used for topology analysis of a power distribution network, a heat supply network and a coal transportation network in a coal mine comprehensive energy system, and constructs a multi-network collaborative coal mine comprehensive energy system operation topology.

[0152] The multi-network collaborative optimization operation model construction module is configured to construct a multi-network collaborative optimization operation model of the coal mine based on a multi-network collaborative coal mine integrated energy system operation topology, and based on a multi-heat-source coal mine heating network operation model and a coal transportation network operation model respectively established by analysis of a power supply, heating supply, and coal transportation multi-network coupling relationship.

[0153] The multi-virtual energy storage fusion operation model construction module is configured to analyze multi-link flexible operation characteristics of coal mine drainage, coal transportation, and heating supply based on a coal mine production and energy supply process, and to establish a multi-virtual energy storage fusion operation model of coal mine drainage, coal transportation, and mine heating.

[0154] The multi-objective optimization scheduling model construction module is configured to construct a multi-network collaborative coal mine integrated energy system economic safety multi-objective optimization scheduling model under virtual energy storage support based on a multi-network collaborative coal mine integrated energy system operation topology, and based on a multi-network collaborative operation constraint and a multi-virtual energy storage fusion operation constraint, with a minimum coal mine integrated energy cost as an economic target and a minimum node voltage deviation as a safety target.

[0155] The solution module is configured to solve the multi-objective optimization scheduling model using a normalized normal constraint method to obtain uniform Pareto frontier solutions, and to obtain a compromise solution from the obtained Pareto frontier solutions by fuzzy decision-making to obtain an optimal operation scheme of the system.

[0156] The uniform Pareto frontier solutions include a coal mine integrated energy cost, a coal mine distribution network node voltage operation deviation, a renewable energy consumption situation, a node voltage amplitude, and a drainage, coal transportation, and heating virtual energy storage operation state.

[0157] It should be noted that the virtual energy storage supported multi-network collaborative coal mine integrated energy system scheduling system provided by the above embodiments, when executing the virtual energy storage supported multi-network collaborative coal mine integrated energy system scheduling method, is only used as an example to divide the above functional modules, and in actual application, the above functions can be distributed to different functional modules according to needs, i.e., the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the virtual energy storage supported multi-network collaborative coal mine integrated energy system scheduling system and the virtual energy storage supported multi-network collaborative coal mine integrated energy system scheduling method embodiments provided by the above embodiments belong to the same concept, and the implementation process is described in detail in the virtual energy storage supported multi-network collaborative coal mine integrated energy system scheduling method embodiments, which will not be repeated here.

[0158] The following specific embodiments are given:

[0159] For this embodiment, in order to verify the superiority of the economic and safe optimization scheduling model of the coal mine comprehensive energy system proposed in the present application, four scenes are set for comparative analysis, as shown in Table 1.

[0160] Table 1 Different operation scenes of the coal mine comprehensive energy system

[0161]

[0162] Note: indicates that the scene contains the corresponding model, and indicates that the scene does not contain the corresponding model.

[0163] The access position and parameters of the accessed distributed gas generator, distributed photovoltaic and distributed wind turbine are shown in Table 2.

[0164] Table 2 Access position and parameters of distributed equipment

[0165]

[0166] The operation results of different scenes are shown in Table 3.

[0167] Table 3 Optimization operation results of different scenes

[0168]

[0169] The software for executing the case simulation is MATLAB_R2021a configured with YALMIP toolbox, and the GUROBI solver is called for solving; the simulation platform processor is Inter Core i5-9300H, the memory is 24GB, and the operating system is 64-bit Windows 11; the scheduling time is 0.5h, and the scheduling period is 24h.

[0170] The equal division number in the normalization normal constraint adopted by the present application is 20, the obtained Pareto front is as shown in Figure 3 The result is analyzed by using the fuzzy decision method, and the 11th optimization result is selected as the compromise solution. It can be directly seen from the figure that the distribution of the Pareto front points obtained by the normalization normal constraint remains uniform with the change of voltage deviation, and has good distribution; at the same time, the economic index and the safety index are mutually restricted, that is, it is impossible to realize the optimal economy and the optimal safety at the same time.

[0171] Compared with scene 1, after considering the virtual energy storage characteristics of the coal mine drainage in scene 2, the physical storage characteristics of the well bottom water tank provide flexible operation space for the drainage pump, and flexibly adjust the drainage amount, reduce the drainage amount during the high electricity price period, as shown in Figure 4As shown in Table 3, after flexible drainage of the mine, the coal mine energy purchasing cost decreased by 1.71%, the voltage deviation decreased by only 0.51 p.u., and the wind and light consumption rate increased by only 0.49%. This is because the water storage is relatively small, and the flexible operation capacity that can be provided is limited. However, considering the virtual energy storage of the coal mine drainage link, it still has a positive effect on improving the economy and safety of the coal mine.

[0172] As shown in Table 3, after further considering the virtual energy storage characteristics of the coal transportation link in scenario 3, the coal mine energy purchasing cost decreased by 10.47%, the distribution network voltage operation deviation decreased by 9.83%, and the wind and light consumption rate increased by 5.55%. The coal storage capacity of each level of the underground coal storage is as shown in Table 4. Figure 5 The dynamic buffering capacity of the underground coal storage, a physical system, can help achieve the spatio-temporal decoupling of energy and material flow. According to the electricity price, wind and light output, etc., each level of the belt conveyor fully utilizes the storage capacity and flexibly adjusts the coal transportation amount to reduce power consumption during high electricity price periods and increase consumption during high wind and light output periods, achieving flexible spatio-temporal transfer of power.

[0173] Scenario 4 further considers the virtual energy storage characteristics of the coal mine heating link based on scenario 3. As shown in Table 3, the wind and light in scenario 4 are fully consumed, and compared with scenario 3, the energy purchasing cost decreases by 7.12%, the network loss decreases by 6.31%, and the voltage deviation decreases by 16.52%. The virtual energy storage of the mine area heat network during the dispatching period is as shown in Table 5. Figure 6 The positive value in the table represents the heat storage of the heat network, and the negative value represents the energy release of the heat network. In order to reduce the energy purchasing cost and the abandoned light power, the heat pump releases heat into the heat network during low electricity price periods and high photovoltaic output periods, and the return water temperature of the first heating station increases. During high electricity price periods and insufficient wind and light output, the heat network releases heat to supplement the insufficient output of the energy equipment, and the return water temperature decreases. The time delay characteristics between the heat source and the heat load enable the heat network to have heat storage characteristics, and the heat power provided by the heat pump does not need to be balanced with the heat load power in real time, achieving the cross-time and space transfer of energy. The electric and thermal systems are coordinated and complementary in time and space, improving the economy of the coal mine energy system operation and the stability of the voltage operation.

[0174] Figure 7 The node voltage amplitude at each time in the optimization dispatching result of scenario 4 is shown in Table 6. The size of the node voltage value will directly affect the balance between the power load and the power supply equipment, and plays a crucial role in the stable and safe operation of the mine area distribution network. Excessive node voltage will cause problems such as load overload and energy waste, while insufficient node voltage may cause the load to be unsatisfied, resulting in power supply shortage and power failure. Figure 7In the simulation, the node voltage of each scheduling time is in the range of 0.95 p.u.~1.01 p.u., which verifies that the economic and safe scheduling method of the coal mine integrated energy system under the support of the virtual energy storage and the electric-thermal-coal multi-network coordination can guarantee the stability and reliability of the operation of the coal mine power distribution network.

[0175] In summary, under the background of high proportion of distributed wind and light access in the mine area power distribution network, the scheduling strategy proposed in the application fully considers the flexible coordinated operation of multiple links such as coal mine drainage, coal transportation and heat supply, and gives full play to the advantages of electric-thermal-coal multi-network coordinated operation. Based on the complementary of multi-network, the efficient consumption of wind and light and the improvement of energy economy in the mine area can be realized, and the voltage deviation problem is also obviously improved.

[0176] In the specification provided herein, a large number of specific details are described. However, it can be understood that the embodiments of the application can be practiced without these specific details. In some examples, well-known methods, structures and techniques are not shown in detail in order not to obscure the understanding of the present specification.

[0177] In addition, those skilled in the art can understand that although some embodiments described herein include certain features included in other embodiments but not others, the combination of features of different embodiments also means that it is within the protection scope of the application and forms different embodiments. For example, in the above embodiments, those skilled in the art can use in a combined manner according to the known technical solutions and the technical problems to be solved by the present application.

Claims

1. A virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method, characterized in that, The method comprises the following steps: topology analysis is performed on a power distribution network, a heat supply network and a coal transportation network in a coal mine integrated energy system, and a multi-network coordinated coal mine integrated energy system operation topology is constructed; based on the multi-network coordinated coal mine integrated energy system operation topology, a coal mine heat supply network operation model with multiple heat sources and a coal transportation network operation model are respectively established, and a coal mine multi-network coordinated optimization operation model is constructed through analysis of a power supply, heat supply and coal transportation multi-network coupling relationship obtained by analysis; starting from a coal mine production and energy supply process, multi-link flexible operation characteristics of coal mine drainage, coal transportation and heat supply are analyzed, and a coal mine drainage, coal transportation and mine heat supply multi-type virtual energy storage fusion operation model is established; according to the multi-network coordinated coal mine integrated energy system operation topology, a multi-network coordinated coal mine integrated energy system economic safety multi-objective optimization scheduling model under virtual energy storage support is constructed by comprehensively considering coal mine multi-network coordinated operation constraints and multi-type virtual energy storage fusion operation constraints, taking the lowest coal mine integrated energy consumption as an economic target and the smallest node voltage deviation as a safety target; the multi-objective optimization scheduling model is solved by using a normalized constraint method, uniform Pareto frontier solutions are obtained, a compromise solution is decided from the obtained Pareto frontier solutions by fuzzy decision, and the best system operation scheme is obtained; the uniform Pareto frontier solutions comprise coal mine integrated energy consumption, coal mine power distribution network node voltage operation deviation, renewable energy consumption, node voltage amplitude and drainage, coal transportation and heat supply virtual energy storage operation states.

2. The virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method according to claim 1, characterized in that, the coal mine multi-network coordinated optimization operation model comprises a heat source coal mine heat supply network operation model, a coal transportation network operation model and an electric-thermal-coal coupled coal mine power distribution network operation model.

3. The virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method according to claim 2, characterized in that, the heat source coal mine heat supply network operation model comprises a heat exchange first station operation model taking coal mine waste air, water inrush and geothermal as heat sources, a coal mine heat network node flow continuity equation and a heat exchange station operation model, wherein: the heat exchange first station operation model taking coal mine waste air, water inrush and geothermal as heat sources is: wherein, Pf, Pw, Pg are the heat power generated by the waste air source heat pump, water source heat pump and ground source heat pump respectively; c w Cp is the specific heat capacity of hot water; Tf, Tw, Tg are the supply and return water temperatures of the heat exchange station at time t; Qf is the amount of mine waste air at time t; p vam p is the average air density of waste air; h1, h2 are the enthalpy values before and after the waste air is taken heat; Qw is the water inflow of the water source heat pump at time t; p1, p2 are the fitting coefficients of the water source heat pump in the heating state; Pg is the electric power consumed by the ground source heat pump at time t; COP gshp COP is the energy efficiency coefficient of the ground source heat pump; m w m is the mass of hot water flowing through the heat exchange station; the coal mine heat network node flow continuity equation is: wherein respectively, are the sets of pipes ending and starting at node n, respectively; q j,t , q k,t respectively, are the mass flow rates of hot water in pipes j and k at time t; is the outlet temperature of pipe j at time t; is the inlet temperature of pipe k at time t; the heat exchange station operation model is: where m i is the mass of hot water flowing through pipe i; is the temperature of the supply and return water through heat exchange station i at time t; respectively represent the bathing, building heating and shaft freezing prevention heat load of coal mine heat exchange station i at time t.

4. The virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method according to claim 2, characterized in that, the coal transportation network model is: wherein W i,t is the coal production of the coal mining face node i at time t; is the coal import and export of the auxiliary shaft coal bunker node j at time t; l j is the set of coal mining face nodes associated with the auxiliary shaft coal bunker node j; W i,t is the coal production of the coal mining face node i at time t; is the coal import and export of the main shaft coal bunker node k at time t; J k is the set of auxiliary shaft coal bunker nodes associated with the main shaft coal bunker node k; is the coal import of the ground coal bunker at time t; K is the set of main shaft coal bunker nodes associated with the ground coal bunker node.

5. The virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method according to claim 2, characterized in that, the electric-thermal-coal coupled coal mine power distribution network operation model comprises an electric-thermal coupling relationship, an electric-coal coupling relationship and an electric-thermal-coal coupling relationship, wherein, the electric-thermal coupling relationship is represented as: wherein, is the active and reactive power consumed by the heat pump; is the heating power of the heat pump; θ h is the power factor angle when the heat pump is running; COP h is the coefficient of performance of the heat pump; h is a set of heating devices, h ∈ {vamhp, gwhp, gshp}, vamhp, gwhp, gshp represent a waste heat source heat pump, a water source heat pump and a ground source heat pump, respectively; the electric-coal coupling relationship is: In the formula, F BC,t , V BC,t Active and reactive power consumed by each level belt conveyor at time t, coal feeding rate, belt running speed; θ BC Power factor angle of belt conveyor operation; η d , η m , θ1, θ2, θ3, θ4 are design-related parameters; the electric-thermal-coal coupling relationship is: wherein, and are the active and reactive power consumed by the coal belt conveyor and the heat pump heating of node j at time t, respectively; and are the active and reactive power generated by the gas generator, the wind power generation, and the photovoltaic power generation, respectively; P ij,t , Q ij,t are the active and reactive power at the head of branch ij at time t; are the active and reactive load of node j at time t; π(j), δ(j) are the sets of the head and tail nodes connected to node j, respectively; ij,t is the square of the current amplitude through branch ij at time t; r ij , x ij are the resistance and reactance of branch ij; U i,t is the square of the voltage amplitude of node i at time t.

6. The virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method according to claim 4, characterized in that, the coal mine drainage, coal transportation and mine heat supply multi-type virtual energy storage fusion operation model comprises a coal mine drainage virtual energy storage operation model, a coal transportation virtual energy storage operation model and a mine heat supply virtual energy storage operation model.

7. The coal mine integrated energy system scheduling method under virtual energy storage support according to claim 6, characterized in that, the coal mine drainage virtual energy storage operation model is: In the formula, is the power consumption of the drainage pump at time t, and D is the lift; p gw is the density of the mine water inflow; g is the acceleration of gravity; η gw is the efficiency of the drainage pump; are respectively the storage amount of water in the pit bottom sump, the water inflow and the water outflow at time t; is the maximum capacity of the pit bottom sump; the coal transportation virtual energy storage operation model is: In the formula, S j,t , respectively, the coal storage amount of the auxiliary shaft coal bunker j at time t, the upper and lower limits of the storage amount; M k,t , respectively, the coal storage amount of the main shaft coal bunker k at time t, the upper and lower limits of the storage amount; the mine heat supply virtual energy storage operation model is: wherein L j , d j , q j are the length, inner diameter, mass flow of the pipe j; p w is the hot water density; is the outlet temperature of the pipe j at time t; the superscript in indicates the pipe inlet side; C1, C2, C3 are weight coefficients respectively; T am is the ambient temperature; is the heat network transmission delay time; wherein is the upward rounding function; Δt is the unit scheduling time; in order to intuitively reflect the virtual energy storage characteristics of mine heat supply, the virtual energy storage power of the heat network is quantitatively described as: wherein, is the heat loss power of the heating pipe at time t; is the inlet water temperature of the heating network supply and return pipe j at time t; is the virtual energy storage power of the heating network at time t;k j is the heat loss coefficient of the pipe; N is the total number of heating network supply and return pipes; T am is the ambient temperature.

8. The virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method according to claim 7, characterized in that, The economy target comprehensively considers the energy purchasing cost, equipment operation and maintenance cost and network loss cost of the coal mine energy system operation, and is specifically represented as: In the formula, c grid is the purchase power at time t, and the unit purchase cost; k is various controllable devices; is the operation and maintenance cost of device k; c loss is the network loss penalty coefficient; is the operation power of device k at time t; I ij,t is the square of the current amplitude through branch ij at time t; r ij is the resistance of branch ij; Ω is the branch set of the mine power distribution network.

9. The virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling method according to claim 8, characterized in that, The coal mine power distribution network voltage deviation is introduced into the target function f2, and is represented as: In the formula, U i,t is the square of the voltage amplitude of node i at time t; U th is the square of the ideal operating voltage amplitude; N is the total number of nodes in the mine power distribution network; and T is the total number of time points of day-ahead scheduling.

10. A virtual energy storage support under multi-network coordination coal mine integrated energy system scheduling system, characterized in that, The system includes: A multi-network coordinated coal mine integrated energy system operation topology module is constructed, which is used for topology analysis of the power distribution network, heating network and coal transportation network in the coal mine integrated energy system, and construction of a multi-network coordinated coal mine integrated energy system operation topology; A multi-network coordinated optimization operation model construction module is used for establishing a coal mine heating network operation model and a coal transportation network operation model based on the multi-network coordinated coal mine integrated energy system operation topology, and constructing a coal mine multi-network coordinated optimization operation model through analysis of the power supply, heating, coal transportation multi-network coupling relationship; A multi-virtual energy storage fusion operation model construction module is used for analyzing the coal mine drainage, coal transportation and heating multi-link flexible operation characteristics from the coal mine production and energy supply link processes, and establishing a coal mine drainage, coal transportation and mine heating multi-virtual energy storage fusion operation model; A multi-objective optimization scheduling model construction module is used for constructing a virtual energy storage supported multi-network coordinated coal mine integrated energy system economic safety multi-objective optimization scheduling model according to the multi-network coordinated coal mine integrated energy system operation topology, comprehensively considering the coal mine multi-network coordinated operation constraints and multi-virtual energy storage fusion operation constraints, taking the minimum coal mine integrated energy cost as the economy target and the minimum node voltage deviation as the safety target; A solution module is used for solving the multi-objective optimization scheduling model by using the normalized normal constraint method to obtain uniform Pareto frontier solutions, and deciding a compromise solution from the obtained Pareto frontier solutions by fuzzy decision to obtain the best system operation scheme; The uniform Pareto frontier solution includes the coal mine integrated energy cost, coal mine power distribution network node voltage operation deviation, renewable energy consumption, node voltage amplitude and drainage, coal transportation and heating virtual energy storage operation state.

Images