Optimal scheduling method for integrated electricity, heat and gas energy system based on universal exergy loss model

Abstract

The present invention relates to an optimization scheduling method for an electric-heat-gas integrated energy system based on a universal exergy loss model, comprising the following steps: step S1: dividing the exergy loss in the energy steady-state transfer process into internal exergy loss and external exergy loss, and establishing a universal energy steady-state transfer process exergy loss model; step S2: applying the universal energy steady-state transfer process exergy loss model established in step S1 to a power network, a thermal network, a hydraulic network, a natural gas network, and a gas CHP unit to obtain a corresponding exergy loss model; step S3: combining the model established in step S2, taking the minimum exergy loss of the electric-heat-gas integrated energy system as the optimization scheduling target, constraining the system, solving the model based on an improved mutation probability genetic algorithm, and completing the optimization scheduling. The method is conducive to improving the energy utilization rate of the integrated energy system.

Description

Technical Field

[0001] The present invention belongs to the field of comprehensive energy system optimization, and specifically relates to a method based on universal Optimal scheduling method for electric, heat and gas integrated energy system based on loss model. Background Art

[0002] At present, integrated energy systems have been widely used, usually coupling three energy systems: electricity, heat, and gas. However, the energy utilization efficiency of integrated energy systems has encountered bottlenecks. Compared with the integrated energy system optimization scheduling model considering energy, the integrated energy system optimization scheduling model can truly improve the energy utilization efficiency. Summary of the invention

[0003] The purpose of the present invention is to provide a An optimal scheduling method for an electric, heat and gas integrated energy system based on a loss model is proposed, which is beneficial to improving the energy utilization rate of the integrated energy system.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is: a universal The method for optimizing the dispatching of an electric, heat and gas integrated energy system based on a loss model includes the following steps:

[0005] Step S1: Transfer the energy in the steady-state transfer process Internal Loss and external loss, establish a universal energy steady-state transfer process Damage model;

[0006] Step S2: The universal energy steady-state transfer process established in step S1 The loss model is applied to power network, thermal network, hydraulic network, natural gas network and gas CHP unit to obtain the corresponding Damage model;

[0007] Step S3: Combine the model established in step S2 to create an electricity-heat-gas integrated energy system The optimization scheduling objective is to minimize the loss, constrain the system, and use the improved mutation probability genetic algorithm to solve the model to complete the optimization scheduling.

[0008] Furthermore, in step S1, the internal Loss refers to the loss of energy due to irreversible transfer and conversion process. Loss mainly refers to the fact that part of the energy cannot do work due to the interaction between the system and the environment; the universal energy steady-state transfer process The loss model is as follows:

[0009]

[0010] Among them, ΔP x The system is Loss, ΔP xn It is internal loss, l is the pipeline number, N l is the number of pipelines, m is the number of energy input sources, N m is the number of energy input sources, P x0 Is external loss, ΔP is the energy loss, n is the energy load end number, N n is the number of energy load terminals.

[0011] Furthermore, in step S2, the universal energy steady-state transfer process The loss model is applied to the power network to obtain The loss model is as follows:

[0012]

[0013] Among them, ΔP xe The total power supply of the power network pipeline Loss, l e is the grid pipeline number, N le is the total number of grid pipelines, It is a pipeline e Internal Electric loss, It is a pipeline e Power loss.

[0014] Furthermore, in step S2, the universal energy steady-state transfer process The loss model is applied to the thermal network to obtain The loss model is as follows:

[0015]

[0016] Among them, ΔP xh is the total heat of the thermal network pipeline Loss, ΔP xnh It is internal heat Loss, l h is the number of the heat network pipeline, N lh is the total number of heat network pipes; ΔP x0h It is external heat Loss, m h is the heat source number, N mh is the total number of heat sources; ΔP h It is energy loss; is the pipeline entropy increase, χ T0is the temperature quiescent value; the energy loss and entropy increase are calculated as follows:

[0017]

[0018] in, is the pipeline entropy flow, χ Ti is the node temperature at the beginning of the pipe, χ To is the pipe end node temperature, is the working fluid water volume flow rate, ρ is the working fluid water density, c p is the specific heat capacity of working fluid water; the temperature at the beginning and end of the pipeline satisfies the following formula:

[0019]

[0020] Among them, λ h is the pipeline heat transfer coefficient, and L is the pipeline length.

[0021] Furthermore, in step S2, the universal energy steady-state transfer process The loss model is applied to the hydraulic network. The loss model is as follows:

[0022] ΔP xw =ΔP xnpump +ΔP xwn +P e0pump =P xepump -P xp +P xp +P e0pump =P epump (7)

[0023] Among them, ΔP xnpump Inside the circulating water pump Loss, ΔP xwn is the internal pressure of the pipe fluid Loss, P e0pump It is the electricity input to the circulating water pump (fire is not available); P xepump It is the power input of the circulating water pump. , P xp The circulating water pump output pressure , that is, the pressure consumed by the fluid network ;P epump is the electric energy consumed by the circulating water pump, and its calculation formula is as follows:

[0024]

[0025] in, is the volume flow rate of working fluid water, χ p is the pressure at the circulating water pump node, η pump is the working efficiency of the circulating water pump; the pressure is calculated as follows:

[0026]

[0027] Among them, ρ is the working fluid water density, g is the gravitational acceleration, K is the resistance coefficient, is the mass flow rate of working fluid water; the calculation formula of resistance coefficient K is K=8Lf / (D 5 ρ 2 π 2 g), where D is the pipe diameter and f is the friction factor; the extension and strength of the hydraulic network satisfy the generalized Kirchhoff theorem, as follows:

[0028]

[0029] Among them, A is the thermal network node-branch matrix; B is the thermal network loop-branch matrix.

[0030] Furthermore, in step S2, the universal energy steady-state transfer process The loss model is applied to the natural gas network. The loss model is as follows:

[0031]

[0032] Among them, ΔP xp is the total pressure of the natural gas network Loss, l p is the gas network pipeline number, N lp is the total number of gas network pipelines, It is a pipeline p Internal Pressure Loss, m p is the gas source number, N mp is the total number of gas sources, Is the gas source m p External pressure loss; the internal pressure of the pipeline The loss is calculated as follows:

[0033]

[0034] in, is the pipeline natural gas volume flow rate, χ Pi and χ Pj are the pressures at nodes i and j respectively; the pipeline natural gas flow satisfies the node Kirchhoff’s theorem A p is the natural gas network node-pipeline branch matrix; the relationship between pipeline natural gas flow and node pressure is as follows:

[0035]

[0036] Among them, K P is the flow-pressure correlation coefficient.

[0037] Furthermore, in step S2, the universal energy steady-state transfer process The loss model is applied to the gas CHP unit to obtain The loss model is as follows:

[0038]

[0039] Among them, ΔP xchp The total Loss, ΔP xnchp It is internal losses, equal to the input natural gas fuel chemical P xg Subtract output power P xe With heat P xh The sum of ΔP x0chp Is external loss, equal to the natural gas fuel chemistry; s is the CHP unit number, N s is the number of CHP units; CHP units are used in calculating external The heat in the output heat energy is already included in the loss. This part of heat is calculated in the thermal network. The heat loss is not repeated, that is, only the heat loss of the heat network pipeline is calculated. Internal losses of natural gas fuel chemistry The calculation is as follows:

[0040] P xg =ε g P g (15)

[0041] Among them, ε g is the energy level coefficient of natural gas chemical energy, P g It is the chemical energy of natural gas.

[0042] Furthermore, in step S3, the electric-heat-gas integrated energy system The optimization scheduling objective is to minimize the loss as follows:

[0043]

[0044] Among them, ΔP x Indicates the total system Loss, N t is the total number of scheduling periods, It is electricity at each time period damage, It is hot at all times damage, The hydraulic network at each time period damage, The natural gas network at each time period damage, The CHP units at each time period damage.

[0045] Furthermore, in step S3, the constraints include: node active and reactive power balance constraints, node voltage amplitude constraints, node voltage phase angle constraints, line capacity constraints, CHP unit active power processing constraints, and CHP unit power output ramping constraints of the power system; hybrid node thermal balance constraints, node supply temperature constraints, node return temperature constraints, pipeline thermal power constraints, and CHP unit heating output constraints of the thermal system; node pressure and pipeline natural gas volume flow constraints, and gas source output constraints of the natural gas system.

[0046] Furthermore, in step S3, in the improved mutation probability genetic algorithm, the initial value of the mutation probability is set to 1, and is gradually reduced during the genetic iteration process with a step length of 0.01 until it is equal to 0.1.

[0047] Compared with the prior art, the present invention has the following beneficial effects: the method establishes a universal energy steady-state transfer process The loss model is used to obtain the corresponding loss models of the power network, thermal network, hydraulic network, natural gas network and gas CHP units. Loss model, conveniently calculate the various types of energy in the transmission process The size of the loss will be further The loss is used as an indicator for optimizing the dispatch of the integrated energy system, and the integrated energy system is optimized to obtain the Loss distribution, accurate positioning system needs to reduce The location of energy loss can be determined, and the goal of improving the energy utilization rate of the integrated energy system can be ultimately achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 The present invention is a flowchart of a method implementation according to an embodiment of the present invention.

[0049] Figure 2 Schematic diagram of an electric-heat-gas integrated energy system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0051] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0052] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0053] like Figure 1 As shown, this embodiment provides a method based on universality. The method for optimizing the dispatching of an electric, heat and gas integrated energy system based on a loss model includes the following steps:

[0054] Step S1: Transfer the energy in the steady-state transfer process Internal Loss and external loss, establish a universal energy steady-state transfer process Loss model.

[0055] Step S2: The universal energy steady-state transfer process established in step S1 The loss model is applied to power network, thermal network, hydraulic network, natural gas network and gas CHP unit to obtain the corresponding Loss model.

[0056] Step S3: Combine the model established in step S2 to create an electricity-heat-gas integrated energy system The optimization scheduling objective is to minimize the loss, constrain the system, and use the improved mutation probability genetic algorithm to solve the model to complete the optimization scheduling.

[0057] In step S1, the internal Loss refers to the loss of energy due to irreversible transfer and conversion process. Loss mainly refers to the fact that part of the energy cannot do work due to the interaction between the system and the environment.

[0058] The universal energy steady-state transfer process The loss model is as follows:

[0059]

[0060] Among them, ΔP x The system is Loss, ΔPxn It is internal loss, l is the pipeline number, N l is the number of pipelines, m is the number of energy input sources, N m is the number of energy input sources, P x0 Is external loss, ΔP is the energy loss, n is the energy load end number, N n is the number of energy load terminals.

[0061] In step S2, the universal energy steady-state transfer process The loss model is applied to the power network to obtain The loss model is as follows:

[0062]

[0063] Among them, ΔP xe The total power supply of the power network pipeline Loss, l e is the grid pipeline number, N le is the total number of grid pipelines, It is a pipeline e Internal Electric loss, It is a pipeline e Power loss.

[0064] In step S2, the universal energy steady-state transfer process The loss model is applied to the thermal network to obtain The loss model is as follows:

[0065]

[0066] Among them, ΔP xh is the total heat of the thermal network pipeline Loss, ΔP xnh It is internal heat Loss, l h is the number of the heat network pipeline, N lh is the total number of heat network pipes; ΔP x0h It is external heat Loss, m h is the heat source number, N mh is the total number of heat sources; ΔP h It is energy loss; is the pipeline entropy increase, χ T0 is the temperature quiescent value; the energy loss and entropy increase are calculated as follows:

[0067]

[0068] in, is the pipeline entropy flow, χ Ti is the node temperature at the beginning of the pipe, χ To is the pipe end node temperature, is the working fluid water volume flow rate, ρ is the working fluid water density, c p is the specific heat capacity of working fluid water; the temperature at the beginning and end of the pipeline satisfies the following formula:

[0069]

[0070] Among them, λ h is the pipeline heat transfer coefficient, and L is the pipeline length.

[0071] 5. The method according to claim 1 based on universality The method for optimizing the dispatching of an electric, heat and gas integrated energy system based on a loss model is characterized in that, in step S2, the universal energy steady-state transfer process The loss model is applied to the hydraulic network. The loss model is as follows:

[0072] ΔP xw =ΔP xnpump +ΔP xwn +P e0pump =P xepump -P xp +P xp +P e0pump =P epump (7)

[0073] Among them, ΔP xnpump Inside the circulating water pump Loss, ΔP xwn is the internal pressure of the pipe fluid Loss, P e0pump It is the electricity input to the circulating water pump (fire is not available); P xepump It is the power input of the circulating water pump. , P xp The circulating water pump output pressure , that is, the pressure consumed by the fluid network ;P epump (MW) is the electrical energy consumed by the circulating water pump, and its calculation formula is as follows:

[0074]

[0075] in, is the volume flow rate of working fluid water, χ p is the pressure at the circulating water pump node, η pump is the working efficiency of the circulating water pump; the pressure is calculated as follows:

[0076]

[0077] Among them, ρ is the working fluid water density, g is the gravitational acceleration, K is the resistance coefficient, is the mass flow rate of working fluid water; the calculation formula of resistance coefficient K is K=8Lf / (D 5 ρ 2 π 2 g), where D is the pipe diameter and f is the friction factor, which is related to the Reynolds number. The extension and strength of the hydraulic network satisfy the generalized Kirchhoff theorem, as follows:

[0078]

[0079] Among them, A is the thermal network node-branch matrix; B is the thermal network loop-branch matrix.

[0080] In step S2, the universal energy steady-state transfer process The loss model is applied to the natural gas network. The loss model is as follows:

[0081]

[0082] Among them, ΔP xp is the total pressure of the natural gas network Loss, l p is the gas network pipeline number, N lp is the total number of gas network pipelines, It is a pipeline p Internal Pressure Loss, m p is the gas source number, N mp is the total number of gas sources, Is the gas source m p External pressure loss; the internal pressure of the pipeline The loss is calculated as follows:

[0083]

[0084] in, is the pipeline natural gas volume flow rate, χ Pi and χ Pj are the pressures at nodes i and j respectively; the pipeline natural gas flow satisfies the node Kirchhoff’s theorem A p is the natural gas network node-pipeline branch matrix; the relationship between pipeline natural gas flow and node pressure is as follows:

[0085]

[0086] Among them, K P is the flow-pressure correlation coefficient.

[0087] In step S2, the universal energy steady-state transfer process The loss model is applied to the gas CHP unit to obtain The loss model is as follows:

[0088]

[0089] Among them, ΔP xchp The total Loss, ΔP xnchp It is internal losses, equal to the input natural gas fuel chemical P xg Subtract output power P xe With heat P xh The sum of ΔP x0chp Is external loss, equal to the natural gas fuel chemical (fire free); s is the CHP unit number, N s is the number of CHP units; CHP units are used in calculating external The heat (fireless) in the output heat energy is already included in the loss. This part of heat (fireless) is used in the calculation of heat in the thermal network. The heat loss should not be calculated repeatedly, that is, only the heat loss of the heat network pipeline should be calculated. Internal loss (equal to the sum of heat energy loss and heat (fire) caused by entropy increase); natural gas fuel chemistry The calculation is as follows:

[0090] P xg =ε g P g (15)

[0091] Among them, ε g is the energy level coefficient of natural gas chemical energy, P g It is the chemical energy of natural gas.

[0092] In step S3, the electric-heat-gas integrated energy system The optimization scheduling objective is to minimize the loss as follows:

[0093]

[0094] Among them, ΔP x Indicates the total system Loss, N t is the total number of scheduling periods, It is electricity at each time period damage, It is hot at all times damage, The hydraulic network at each time period damage, The natural gas network at each time period damage, The CHP units at each time period damage.

[0095] In step S3, the constraints include: node active and reactive power balance constraints, node voltage amplitude constraints, node voltage phase angle constraints, line capacity constraints, CHP unit active power processing constraints, and CHP unit power output ramping constraints of the power system; hybrid node thermal balance constraints, node supply temperature constraints, node return temperature constraints, pipeline thermal power constraints, and CHP unit heating output constraints of the thermal system; node pressure and pipeline natural gas volume flow constraints, and gas source output constraints of the natural gas system.

[0096] In step S3, in the improved mutation probability genetic algorithm, the initial value of the mutation probability is set to 1, and is gradually reduced during the genetic iteration process with a step length of 0.01 until it is equal to 0.1.

[0097] like Figure 2 As shown, in this embodiment, a comprehensive energy system coupled with a 9-node power network, a 32-node thermal network, and a 22-node natural gas network is taken as an example for simulation and analysis. The parameters of the three CHP units are shown in Table 1. The 1#CHP unit and the 3#CHP unit are both fixed heat-to-electricity ratios, and the 2#CHP unit is a variable heat-to-electricity ratio. The heat-to-electricity ratio C1 of the 1#CHP unit is greater than the heat-to-electricity ratio C3 of the 3#CHP unit, but the power supply efficiency of the two is the same. It can be seen that the former has a higher heating efficiency than the latter. Overall, the comprehensive performance of the former unit is better than that of the latter.

[0098] Table 1 CHP unit parameters

[0099] CHP unit number parameter Energy efficiency / % 1# C1＝1.3 40(power supply) 2# Pcon=0.6;Z=8.1 70(Total Energy) 3# C3＝1 40(power supply)

[0100] After the electricity-heat-gas system is optimally dispatched during the day The loss distribution data is shown in Table 2. The proportion of losses is small, with the power network accounting for only 0.39%, the thermal network accounting for only 2.01%, and the natural gas network accounting for 25.22%; the total number of coupling elements is The loss ratio is large, accounting for 72.38%, among which the circulating water pump The loss is 0.22%, which can be ignored. CHP units account for the largest proportion and are the largest in the entire comprehensive energy system. The damage is mainly distributed in the following locations, accounting for 72.16%.

[0101] Table 2 24-hour electricity-heat-gas IES Loss distribution data

[0102]

[0103] Among them, the specific The loss distribution is shown in Table 3. Loss is greater than external The former is 85.95% and the latter is 14.05%. Loss is external Specifically, the internal structure of the 2#CHP unit The loss is the largest, followed by 1#CHP unit, and 3#CHP unit has the smallest loss, accounting for the total internal The damage ratios are 47.34%, 28.65%, and 24.00%; the external The loss is the largest, followed by 2#CHP unit, and 3#CHP unit has the smallest loss, accounting for the total external The loss ratio is 40.62%, 34.31% and 25.07%. The greater the output of the CHP unit, the greater the natural gas fuel consumption, and the external The greater the loss, combined with Table 1, it can be seen that after optimization, the output of the 1#CHP unit with good unit performance is greater than that of the 3#CHP unit with slightly worse performance, which helps the total external Reduction of loss.

[0104] Table 3 24-hour CHP units Loss distribution data

[0105] #imgpt198#

[0106] The above is only a preferred embodiment of the present invention, and does not limit the present invention in other forms. Any technician familiar with the profession may use the above disclosed technical content to change or modify it into an equivalent embodiment with equivalent changes. However, any simple modification, equivalent change and modification made to the above embodiment according to the technical essence of the present invention without departing from the technical solution of the present invention still belongs to the protection scope of the technical solution of the present invention.

Claims

1. A method based on universality The optimization scheduling method of the electric, heat and gas integrated energy system based on the loss model is characterized by: The following steps are involved: Step S1: Transfer the energy in the steady-state transfer process Internal Loss and external loss, establish a universal energy steady-state transfer process Damage model; Step S2: The universal energy steady-state transfer process established in step S1 The loss model is applied to power network, thermal network, hydraulic network, natural gas network and gas CHP unit to obtain the corresponding Damage model; Step S3: Combine the model established in step S2 to create an electricity-heat-gas integrated energy system Taking the minimum loss as the optimization scheduling goal, the system is constrained, and the model is solved by using the improved mutation probability genetic algorithm to complete the optimization scheduling; In step S1, the internal Loss refers to the loss of energy due to irreversible transfer and conversion process. Loss mainly refers to the fact that part of the energy cannot do work due to the interaction between the system and the environment; the universal energy steady-state transfer process The loss model is as follows: Among them, ΔP x The system is Loss, ΔP xn It is internal loss, l is the pipeline number, N l is the number of pipelines, m is the number of energy input sources, N m is the number of energy input sources, P x0 Is external loss, ΔP is the energy loss, n is the energy load end number, N n is the number of energy load terminals; In step S2, the universal energy steady-state transfer process The loss model is applied to the power network to obtain The loss model is as follows: Among them, ΔP xe The total power supply of the power network pipeline Loss, l e is the grid pipeline number, N le is the total number of grid pipelines, It is a pipeline e Internal Electric loss, It is a pipeline e Power loss; In step S2, the universal energy steady-state transfer process The loss model is applied to the thermal network to obtain The loss model is as follows: Among them, ΔP xh is the total heat of the thermal network pipeline Loss, ΔP xnh It is internal heat Loss, l h is the number of the heat network pipeline, N lh is the total number of heat network pipes; ΔP x0h It is external heat Loss, m h is the heat source number, N mh is the total number of heat sources; ΔP h It is energy loss; is the pipeline entropy increase, χ T0 is the temperature quiescent value; the energy loss and entropy increase are calculated as follows: in, is the pipeline entropy flow, χ Ti is the temperature of the node at the beginning of the pipeline, χ To is the pipe end node temperature, is the working fluid water volume flow rate, ρ is the working fluid water density, c p is the specific heat capacity of working fluid water; the temperature at the beginning and end of the pipeline satisfies the following formula: Among them, λ h is the pipeline heat transfer coefficient, L is the pipeline length; In step S2, the universal energy steady-state transfer process The loss model is applied to the hydraulic network to obtain The loss model is as follows: ΔP xw =ΔP xnpump +ΔP xwn +P e0pump =P xepump -P xp +P xp +P e0pump =P epump (7) Among them, ΔP xnpump Inside the circulating water pump Loss, ΔP xwn is the internal pressure of the pipe fluid Loss, P e0pump It is the electricity input to the circulating water pump (fire is not available); P xepump It is the power input of the circulating water pump. P xp The circulating water pump output pressure That is, the pressure consumed by the fluid network P epump is the electric energy consumed by the circulating water pump, and its calculation formula is as follows: in, is the volume flow rate of working fluid water, χ p is the pressure at the circulating water pump node, η pump is the working efficiency of the circulating water pump; the pressure is calculated as follows: Among them, ρ is the working fluid water density, g is the gravitational acceleration, K is the resistance coefficient, is the mass flow rate of working fluid water; the calculation formula of resistance coefficient K is K=8Lf / (D 5 ρ 2 π 2 g), where D is the pipe diameter and f is the friction factor; the extension and strength of the hydraulic network satisfy the generalized Kirchhoff theorem, as follows: Among them, A is the thermal network node-branch matrix; B is the thermal network loop-branch matrix; In step S2, the universal energy steady-state transfer process The loss model is applied to the natural gas network. The loss model is as follows: Among them, ΔP xp is the total pressure of the natural gas network Loss, l p is the gas network pipeline number, N lp is the total number of gas network pipelines, It is a pipeline p Internal Pressure Loss, m p is the gas source number, N mp is the total number of gas sources, Is the gas source m p External pressure loss; the internal pressure of the pipeline The loss is calculated as follows: in, is the pipeline natural gas volume flow rate, χ Pi and χ Pj are the pressures at nodes i and j respectively; the pipeline natural gas flow satisfies the node Kirchhoff’s theorem A p is the natural gas network node-pipeline branch matrix; the relationship between pipeline natural gas flow and node pressure is as follows: Among them, K P is the flow-pressure correlation coefficient; In step S2, the universal energy steady-state transfer process The loss model is applied to the gas CHP unit to obtain The loss model is as follows: Among them, ΔP xchp The total Loss, ΔP xnchp It is internal losses, equal to the input natural gas fuel chemical P xg Subtract output power P xe With heat P xh The sum of ΔP x0chp Is external loss, equal to the natural gas fuel chemistry; s is the CHP unit number, N s is the number of CHP units; CHP units are used in calculating external The heat loss already includes the heat in the output heat energy, which is calculated in the thermal network. The heat loss is not repeated, that is, only the heat loss of the heat network pipeline is calculated. Internal losses of natural gas fuel chemistry The calculation is as follows: P xg =e g P g (15) Among them, ε g is the energy level coefficient of natural gas chemical energy, P g It is the chemical energy of natural gas; In step S3, the electric-heat-gas integrated energy system The optimization scheduling objective is to minimize the loss as follows: Among them, ΔP x Indicates the total system Loss, N t is the total number of scheduling periods, It is electricity at each time period damage, It is hot at all times damage, The hydraulic network at each time period damage, The natural gas network at each time period damage, The CHP units at each time period damage.

2. The method according to claim 1 based on universality The optimization scheduling method of the electric, heat and gas integrated energy system based on the loss model is characterized by: In step S3, the constraints include: node active and reactive power balance constraints, node voltage amplitude constraints, node voltage phase angle constraints, line capacity constraints, CHP unit active power processing constraints, and CHP unit power output ramping constraints of the power system; hybrid node thermal balance constraints, node supply temperature constraints, node return temperature constraints, pipeline thermal power constraints, and CHP unit heating output constraints of the thermal system; node pressure and pipeline natural gas volume flow constraints, and gas source output constraints of the natural gas system.

3. The method according to claim 1 based on universality The optimization scheduling method of the electric, heat and gas integrated energy system based on the loss model is characterized by: In step S3, in the improved mutation probability genetic algorithm, the initial value of the mutation probability is set to 1, and is gradually reduced during the genetic iteration process with a step length of 0.01 until it is equal to 0.1.

Images