A CCS-P2G interconnected electrical integrated energy system and dispatching method

Abstract

The present invention discloses a CCS-P2G interconnected electrical integrated energy system and a dispatching method, and relates to the technical field of energy system optimization and dispatching. The integrated energy system comprises: a power generation device, a carbon capture device, a carbon storage device, a power-to-gas device, and a gas source device; the power generation device, the carbon capture device, and the power-to-gas device are all connected to a main power grid; the main power grid is also respectively connected to a superior power grid; the carbon capture device is also respectively connected to the superior power grid, the carbon storage device, and the power generation device; the carbon storage device, the power-to-gas device, the gas source device, and the power generation device are connected in sequence; the main power grid, the power-to-gas device, and the gas source device are also connected to user-side loads; the present invention combines multiple energy supply modes with an integrated energy system, and uses an improved sailfish algorithm to solve the problem of a single energy supply dispatching algorithm for an integrated energy system in the prior art, thereby improving energy dispatching efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of energy system optimization and scheduling, and in particular to a CCS-P2G interconnected electrical integrated energy system and a scheduling method. Background Art

[0002] In recent years, with the rapid development of the world economy, energy consumption and environmental pollution have become increasingly serious. The growth of energy consumption and carbon emissions has become a major problem restricting social development. Current development requires changing the structure and form of traditional energy to fully realize the low-carbon and economic nature of the integrated energy system. The electrical integrated energy system is based on the power system and integrates multiple energy sources such as natural gas. It is expected to become a new model for future energy development, meeting the energy needs of the user side load while further meeting the low-carbon requirements.

[0003] The electric integrated energy system realizes the mutual coupling of the power grid and the natural gas grid through the power-to-gas equipment. The power-to-gas equipment can convert surplus wind and solar resources into natural gas, thereby improving the wind and solar absorption capacity. Carbon capture technology can occupy a small amount of unit output to capture carbon dioxide in the system. The operation mode of the carbon capture device is relatively flexible. In the wind and solar grid-connected operation scenario, the wind and solar generators can provide part of the electricity for the carbon capture device, promoting the low-carbon economic operation of the system. Therefore, when the system considers the coordinated optimization of carbon capture and power-to-gas devices, it can achieve low-carbon economic operation of the system while improving the absorption capacity of renewable energy. However, in the process of optimizing and dispatching the above-mentioned mode, the algorithm is relatively simple, the dispatching object is complex, the calculation burden is heavy, and the dynamic response performance is poor. As a result, it may lack global search and optimization capabilities in the energy optimization management of the electric integrated energy system. Summary of the invention

[0004] The purpose of the present invention is to provide a CCS-P2G interconnected electrical integrated energy system and a dispatching method, which can improve the energy dispatching efficiency.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A CCS-P2G interconnected electrical integrated energy system, comprising: a power generation device, a carbon capture device, a carbon storage device, a power-to-gas device, and a gas source device;

[0007] The power generation device, the carbon capture device and the power-to-gas device are all connected to the main power grid; the main power grid is also connected to the upper power grid respectively; the carbon capture device is also connected to the upper power grid, the carbon storage device and the power generation device respectively; the carbon storage device, the power-to-gas device, the gas source device and the power generation device are connected in sequence; the main power grid, the power-to-gas device and the gas source device are also connected to the user-side load;

[0008] The power generation device is used to convert electricity using sunlight, wind power and gas energy, and to supply power to user-side loads based on the converted electricity and the electricity of the power grid;

[0009] The carbon capture device is used to capture carbon dioxide emitted by equipment connected to the grid;

[0010] The carbon storage device is used to store the carbon dioxide;

[0011] The power-to-gas device is used to convert electrical energy into hydrogen energy to supply hydrogen to the user-side load, and convert the carbon dioxide into natural gas and transmit it to the gas source equipment;

[0012] The gas source equipment is used to provide gas energy conversion raw materials for the power generation device according to the natural gas, and to supply gas to the user-side load.

[0013] Optionally, the power generation device specifically includes: a wind turbine, a photovoltaic conversion device, a gas turbine and a battery;

[0014] The wind turbine, the photovoltaic conversion device, the gas turbine and the storage battery are all connected to the main power grid; the gas turbine is also connected to the carbon capture device and the gas source device respectively; the wind turbine, the photovoltaic conversion device and the gas turbine are also connected to the storage battery;

[0015] The wind turbine is used to generate electricity using wind power;

[0016] The photovoltaic conversion device is used to generate electricity using sunlight;

[0017] The gas turbine is used to generate electricity using gas energy;

[0018] The storage battery is used to store electric energy and supply power to user-side loads through the main power grid.

[0019] Optionally, the power-to-gas device specifically comprises: an electrolyzer, a hydrogen storage tank and a methane reactor;

[0020] The main power grid, the electrolyzer, the hydrogen storage tank and the methane reactor are connected in sequence; the methane reactor is also connected to the carbon storage device and the gas source device respectively; the hydrogen storage tank is also connected to the user-side load;

[0021] The electrolyzer is used to electrolyze the electric energy of the main power grid to obtain hydrogen;

[0022] The hydrogen storage tank is used to store hydrogen and supply hydrogen to the user-side load;

[0023] The methane reactor is used to convert the carbon dioxide into natural gas and transmit it to the gas source equipment.

[0024] The present invention also provides a scheduling method for a CCS-P2G interconnected electrical integrated energy system, which is applied to the CCS-P2G interconnected electrical integrated energy system based on the above-mentioned method, comprising:

[0025] Obtaining system load; the system load includes electrical load, hydrogen load and gas load;

[0026] Determine the equipment configuration and operation parameters according to the system load; the equipment configuration includes the predicted output power of wind turbine photovoltaic power generation and related cost parameters;

[0027] According to the equipment configuration, the operating parameters and the improved Sailfish algorithm, the optimal output result of the system is determined, and comprehensive energy scheduling is performed according to the optimal output result of the system; the comprehensive energy scheduling is used to control the operation of each device in the CCS-P2G interconnected electrical comprehensive energy system;

[0028] Among them, the improved Sailfish algorithm is constructed according to the objective function and the corresponding constraints; the objective function is a function for calculating the target total operating cost and the minimum carbon emissions; the constraints include electric power balance constraints, gas power balance constraints, hydrogen power balance constraints, coupled equipment unit output constraints and energy storage equipment operation constraints; the coupled equipment unit output constraints include gas turbines, electrolyzers, carbon capture and methane reactor constraints.

[0029] Optionally, determining the optimal output result of the system according to the device configuration, the operating parameters and the improved Sailfish algorithm, and performing comprehensive energy scheduling according to the optimal output result of the system, specifically includes:

[0030] Based on the device configuration, the operating parameters and the constraints, the number of the sailfish population and the sardine population in the improved sailfish algorithm is initialized using an Arnold chaotic mapping sequence;

[0031] Calculate the fitness values ​​of the swordfish population and the sardine population, and determine the fitness values ​​of the elite swordfish and the most easily caught sardines;

[0032] Calculate control coefficients and update the position of the sailfish;

[0033] Calculate the attack coefficient and update the number and displacement of the sardines. If the attack coefficient is greater than or equal to 0.5, update the positions of all the sardines. If the attack coefficient is less than 0.5, only update the positions of the sardines with the number and displacement.

[0034] The positions of the swordfish and the sardines are replaced, and the replaced positions of the sardines are randomized to determine random parameters;

[0035] Determine whether the random parameter is less than the set probability parameter, if so, use the reverse learning strategy to generate a new solution, if not, use the Cauchy mutation strategy to generate a new solution;

[0036] Determine whether the fitness value of the new solution is better than the optimal solution. If so, update the optimal solution, and determine whether the set end condition is met. If so, output the current optimal solution. If not, return to step "calculate the fitness values ​​of the swordfish population and the sardine population, and determine the fitness values ​​of the elite swordfish and the most easily captured sardines". The optimal solution is the optimal output result of the system;

[0037] Comprehensive energy dispatch is performed according to the optimal output result of the system.

[0038] Optionally, the calculating the control coefficient and updating the position of the sailfish specifically includes:

[0039] Using the formula: μ(i) = 2×rand(0,1)×PD-PD, calculate the control coefficient, and using the formula: Position updates for sailfish;

[0040] Among them, μ i represents the control coefficient; PD represents the prey population density; rand represents a random number between [0, 1]; represents the previous position of the i-th sailfish; represents the current position of the i-th sailfish; Indicates the best position of the sailfish at the current iteration number; Indicates the optimal position of the sardines at the current iteration number.

[0041] Optionally, the calculating of the attack coefficient and updating of the number and displacement of the sardines specifically includes:

[0042] Use the formula ATK = A × (1-(2 × itr × ε)) to calculate the attack coefficient, and use the formula α = N S ×ATK updates the number of sardines, and uses the formula β = d × ATK to update the displacement of the sardines;

[0043] Where ATK represents the attack coefficient of the swordfish under itr iteration; ε represents the coefficient used to linearly reduce ATK from the value A to ; a represents the number of sardines; β represents the displacement of the sardines; N S represents the population size of sardines; d represents the dimension of sardines.

[0044] Optionally, replacing the position of the swordfish and the position of the sardines, and performing random processing on the replaced positions of the sardines, specifically includes:

[0045] Using formula X SF (i) = XS (i)if f(S(i)) <f(S F (i) Replace the swordfish position and the sardine position and perform randomization after replacement;

[0046] Among them, X SF (i) represents the position of the sailfish at the i-th iteration; X S (i) represents the position of the sardine at the i-th iteration; S(i) represents the fitness value of the sardine; S F (i) represents the fitness value of swordfish.

[0047] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0048] The present invention discloses a CCS-P2G interconnected electrical integrated energy system and a scheduling method. The integrated energy system comprises a power generation device, a carbon capture device, a carbon storage device, a power-to-gas device, and a gas source device; the power generation device, the carbon capture device, and the power-to-gas device are all connected to a main power grid; the main power grid is also respectively connected to an upper power grid; the carbon capture device is also respectively connected to the upper power grid, the carbon storage device, and the power generation device; the carbon storage device, the power-to-gas device, the gas source device, and the power generation device are connected in sequence; the main power grid, the power-to-gas device, and the gas source device are also all connected to a user-side load; the present invention combines multiple energy supply modes with the integrated energy system, and uses an improved sailfish algorithm to solve the problem of a single energy supply scheduling algorithm for the integrated energy system in the prior art, thereby improving energy scheduling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0050] Figure 1 It is a structural schematic diagram of the CCS-P2G interconnected electrical integrated energy system of the present invention;

[0051] Figure 2 is a logic diagram of the integrated energy system scheduling method in this embodiment;

[0052] Figure 3 Schematic diagram of the optimization scheduling results of the CCS-P2H interconnected electrical integrated energy system in this embodiment; wherein, part (a) is the optimization scheduling result of the power system; part (b) is the optimization scheduling result of the natural gas system; and part (c) is the optimization scheduling result of the hydrogen system. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] The purpose of the present invention is to provide a CCS-P2G interconnected electrical integrated energy system and a dispatching method, which can improve the energy dispatching efficiency.

[0055] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0056] like Figure 1 As shown, the present invention provides a CCS-P2G interconnected electrical integrated energy system, including: a power generation device, a carbon capture device, a carbon storage device, a power-to-gas device, and a gas source device.

[0057] Specifically, the power generation device, the carbon capture equipment and the power-to-gas device are all connected to the main power grid; the main power grid is also connected to the upper power grid respectively; the carbon capture equipment is also connected to the upper power grid, the carbon storage equipment and the power generation device respectively; the carbon storage equipment, the power-to-gas device, the gas source equipment and the power generation device are connected in sequence; the main power grid, the power-to-gas device and the gas source equipment are also connected to the user-side load.

[0058] The power generation device is used to convert electricity using sunlight, wind power and gas energy, and to supply power to user-side loads based on the converted electricity and the electricity from the power grid; the carbon capture device is used to capture carbon dioxide emitted by equipment connected to the power grid; the carbon storage device is used to store the carbon dioxide; the power-to-gas device is used to convert electricity into hydrogen energy to supply hydrogen to user-side loads, and to convert the carbon dioxide into natural gas to transmit to the gas source device; the gas source device is used to provide gas energy conversion raw materials for the power generation device based on the natural gas, and to supply gas to user-side loads.

[0059] Among them, as an implementation method of the power generation device, it includes: a wind turbine, a photovoltaic conversion device, a gas turbine and a battery.

[0060] Specifically, the wind turbine, the photovoltaic conversion device, the gas turbine and the battery are all connected to the main power grid; the gas turbine is also connected to the carbon capture device and the gas source device respectively; the wind turbine, the photovoltaic conversion device and the gas turbine are all connected to the battery.

[0061] The wind turbine is used to generate electricity using wind power; the photovoltaic conversion equipment is used to generate electricity using sunlight; the gas turbine is used to generate electricity using gas energy; the battery is used to store electrical energy and supply power to user-side loads through the main power grid.

[0062] As an implementation mode of the power-to-gas device, it includes: an electrolyzer, a hydrogen storage tank and a methane reactor.

[0063] Specifically, the main power grid, the electrolyzer, the hydrogen storage tank and the methane reactor are connected in sequence; the methane reactor is also connected to the carbon storage device and the gas source device respectively; the hydrogen storage tank is also connected to the user-side load.

[0064] The electrolyzer is used to electrolyze the electric energy of the main power grid to obtain hydrogen; the hydrogen storage tank is used to store hydrogen and supply hydrogen to the user-side load; the methane reactor is used to convert the carbon dioxide into natural gas and transmit it to the gas source equipment.

[0065] In this embodiment, if Figure 1 The framework shown mainly includes: wind turbine WT CCS-P2G 、Photovoltaic CCS-P2G 、Gas turbine MT CCS-P2G , power-to-gas (P2G), carbon capture (CCS) CCS-P2G , Battery BA CCS-P2G And carbon storage equipment CST CCS-P2G . On the grid side, wind power, photovoltaics, gas turbines, batteries, and upper-level grids meet the demand for electrical loads; on the gas grid side, gas sources and power-to-gas equipment meet the demand for gas loads and gas turbines; the hydrogen produced by the power-to-gas equipment first meets the hydrogen load demand, and the excess hydrogen is used to produce natural gas through power-to-gas, fully improving the absorption capacity of renewable energy. The most notable feature of the system is the coupling of carbon capture and power-to-gas. The carbon capture device captures the carbon dioxide emitted by the system and injects it into the power-to-gas equipment to synthesize natural gas, realizing the recycling of carbon dioxide within the system and reducing the system's dependence on natural gas sources.

[0066] In addition, the present invention also provides a scheduling method for a CCS-P2G interconnected electrical integrated energy system, which is applied to the CCS-P2G interconnected electrical integrated energy system based on the above, including:

[0067] Step 100: Obtain system load; the system load includes electrical load, hydrogen load and gas load.

[0068] Step 200: Determine equipment configuration and operating parameters according to the system load; the equipment configuration includes predicted output power of wind turbine photovoltaic power generation and related cost parameters.

[0069] Step 300: Determine the optimal output result of the system according to the device configuration, the operating parameters and the improved Sailfish algorithm, and perform comprehensive energy scheduling according to the optimal output result of the system; the comprehensive energy scheduling is used to control the operation of each device in the CCS-P2G interconnected electrical comprehensive energy system.

[0070] Among them, the improved Sailfish algorithm is constructed according to the objective function and the corresponding constraints; the objective function is a function for calculating the target total operating cost and the minimum carbon emissions; the constraints include electric power balance constraints, gas power balance constraints, hydrogen power balance constraints, coupled equipment unit output constraints and energy storage equipment operation constraints; the coupled equipment unit output constraints include gas turbines, electrolyzers, carbon capture and methane reactor constraints.

[0071] like Figure 2 As shown, according to the above technical solution, the following specific implementation process of determining the scheduling strategy based on the improved Sailfish (SFO) algorithm is provided:

[0072] Step 1: First, input the data of electricity, hydrogen, and gas loads, as well as the predicted output power of wind turbines and photovoltaic power generation, electricity prices, gas prices and other related cost parameters, as well as the operating parameters of the required equipment.

[0073] In this step, the energy system parameters mainly include the predicted output of wind turbine power generation P WT (t), photovoltaic power generation predicted output P PV (t), electrical load P e-CCS-P2G , gas load G e-CCS-P2G 、Hydrogen load Q e-CCS-P2G 、Time-of-use electricity price sell (t), gas price σ G (t) and the operating parameters of each coupling device are shown in Table 1.

[0074] Table 1 Parameters of electrical integrated energy system equipment

[0075]

[0076] Step 2: Set the basic principles for energy population optimization, including: 1) The system always meets the constraint balance constraints and the output constraints of each coupled device; the upper and lower power constraints of the power grid purchasing electricity and the gas source purchasing gas.

[0077] Step 3: According to the constraints that the equipment needs to meet during operation, initialize the number of sailfish and sardine populations, and use the Amold chaotic mapping sequence to initialize the sailfish and sardine populations. Among them, the system balance constraints and the output constraints of each coupled device are as follows:

[0078] 1) Electric power balance constraints:

[0079]

[0080] in, Provide power for the fan; For photovoltaic output; P e-CCS-P2G (t) is the electrical load.

[0081] The relationship between the power supply of the gas turbine and the gas consumption of the gas turbine is:

[0082]

[0083] in, is the gas consumption power of the gas turbine; H L is the calorific value of natural gas, and 9.88kW·h / m 3 ; η MT is the conversion efficiency of the gas turbine.

[0084] The relationship between the working power of the electrolyzer and the amount of hydrogen produced is expressed as follows:

[0085]

[0086] in, is the hydrogen production power of the electrolyzer; η EL is the conversion efficiency of the electrolyzer; For the calorific value of hydrogen, 33kW·h / kg is selected.

[0087] The relationship between the working power of the carbon capture device and the amount of carbon captured is:

[0088]

[0089] Among them, η cap The power consumption coefficient of the carbon capture device per unit of CO2 captured; is the amount of CO2 captured by the carbon capture device at time t.

[0090] 2) Gas power balance constraints:

[0091]

[0092] Among them, G e-CCS-P2G (t) is the gas load; is the natural gas production power of the methane reactor; The purchase volume of natural gas source.

[0093] The relationship between the natural gas production power of the methane reactor and the hydrogen consumption and CO2 amount is as follows:

[0094]

[0095]

[0096] Among them, η MR is the conversion efficiency of the methane reactor; is the hydrogen consumption of the methane reactor at time t; E MR (t) is the amount of CO2 required by the methane reactor.

[0097] 3) Hydrogen power balance constraints:

[0098]

[0099] in, is the hydrogen storage capacity of the hydrogen storage tank at time t; Q e-CCS-P2G (t) is the hydrogen load.

[0100] 4) Output constraints of coupling equipment units:

[0101] The coupled equipment in the integrated energy system needs to operate within the allowable operating power range, mainly including gas turbines, electrolyzers, carbon capture and methane reactors. The constraints are as follows:

[0102]

[0103] in, and Ask the upper and lower limits of the gas turbine operating power respectively; and are the upper and lower limits of the electrolyzer working power respectively; and are the upper and lower limits of the carbon capture device’s operating power, respectively; and Ask the upper and lower limits of the methane reactor's operating power respectively.

[0104] The power purchased by the upper-level power grid and the power purchased by the gas source must meet the following constraints:

[0105]

[0106] in, and They are the upper and lower limits of the power purchased by the upper power grid; and Ask the upper and lower limits of the natural gas source purchasing power respectively.

[0107] 5) Energy storage equipment operation constraints:

[0108] The relationship between the battery's state of charge and the battery's operating power is as follows:

[0109]

[0110] Where SOC(t) is the state of charge of the hydrogen storage tank at time t; η BA is the hydrogen storage tank charging and discharging rate; Δt is the time interval; W BA is the capacity of the battery.

[0111] In order to ensure that the battery can work normally and slow down the battery life decay cycle, the battery's working power, state of charge and battery capacity need to be controlled within a certain range. The constraints are as follows:

[0112]

[0113] in, and Respectively represent the upper and lower limits of the battery capacity; and Respectively represent the upper and lower limits of the battery operating power; sOC min and SOC max Respectively represent the upper and lower limits of the battery state of charge.

[0114] The relationship between the hydrogen storage capacity and the state of charge of the hydrogen storage tank at the current moment is as follows:

[0115]

[0116]

[0117] Among them, Q HST (t) is the hydrogen storage capacity of the hydrogen storage tank at the time; Q HST，cha (t) and Q HST，dis (t) respectively represent the amount of hydrogen charged and discharged in the hydrogen storage tank at time t; η HST，cha and η HST，dis They represent the charging and discharging rates of the hydrogen storage tank; SOCH(t) represents the energy storage coefficient of the hydrogen storage tank at the time; W HST is the rated capacity of the hydrogen storage tank.

[0118] To ensure the normal operation of the hydrogen storage tank during the cycle, the charge state and capacity of the hydrogen storage tank need to be controlled within a reasonable range. The constraints are as follows:

[0119]

[0120] in, and Respectively represent the upper and lower limits of the hydrogen storage capacity of the hydrogen storage tank; SOCH min and SOCH max Respectively represent the upper and lower limits of the hydrogen storage tank's state of charge; m HST，cha，max and m HST，dis，max They represent the maximum rates of filling and discharging hydrogen in the hydrogen storage tank respectively.

[0121] The relationship between the carbon storage capacity and carbon storage coefficient of the carbon storage equipment is as follows:

[0122]

[0123]

[0124] in, Indicates the carbon storage capacity of the carbon storage equipment at the time; E CS，cha (t) and Respectively represent the carbon filling and carbon release of the carbon storage equipment; η CS，cha and η CS，dis They represent the carbon filling and decarbonization rates of the carbon storage equipment; SOCC(t) represents the carbon storage coefficient of the carbon storage equipment; W CS Indicates the rated capacity of the carbon storage equipment.

[0125] In order to ensure the normal operation of the carbon storage equipment during the working cycle, the carbon storage coefficient, carbon charging and discharging rate and carbon storage capacity of the carbon storage equipment should be set within a reasonable range. The constraints are as follows:

[0126]

[0127] in, and Respectively represent the carbon storage capacity of carbon storage equipment; SOCC min and SOC Cmax Respectively represent the energy storage coefficient of carbon storage equipment; η CS，cha，max and η CS，dis，max They represent the carbon filling and releasing rates of the carbon storage equipment respectively.

[0128] The system objective function C consists of the lowest total operating cost and the lowest carbon emissions of the carbon capture and power-to-gas interconnected electrical integrated energy system. The specific expression is as follows:

[0129] C = min(F1, F2) (19)

[0130] Among them, F1 represents the total operating cost of the integrated energy system, and the specific expression is as follows:

[0131] F1=min(C Grid +C Gas +C Yunwei +C CO2 +C CS +C WP ) (20)

[0132] Among them, C Grid represents the electricity purchase cost, C Gas represents the gas purchase cost, C Yunwei represents the operation and maintenance cost, C CO2represents the carbon trading cost, C CS represents the carbon storage cost and C WP It indicates the punishment for abandoning wind and solar power.

[0133] System power purchase cost C Grid :

[0134]

[0135] Among them, c sell (t) is the electricity purchase price of the upper power grid at that moment; P Grid (t) is the power purchased by the upper-level power grid at a certain moment; Δt is the time interval; T is the total dispatching period.

[0136] System gas purchase cost C Gas :

[0137]

[0138] Among them, σ G (t) is the price of natural gas per unit volume purchased by the system at the time; G G (t) is the system gas purchasing power at time t.

[0139] System operation and maintenance cost C Yunwei :

[0140]

[0141] Among them, a i is the unit power operation and maintenance cost coefficient of each coupling device; is the working power of each coupled device.

[0142] System carbon trading cost C CO2 :

[0143] The carbon trading mechanism allocates initial carbon emission rights to each carbon emission unit, and each unit in the system chooses to buy or sell carbon emission quotas based on actual carbon emissions. The carbon emissions of the system are considered to be the amount of CO2 generated by the power grid and gas turbines minus the amount of CO2 captured by the carbon capture device.

[0144]

[0145]

[0146]

[0147] Among them, E CO2 (t) is the total CO2 emissions of the system at time; is the amount of CO2 emitted by the power grid at time t; is the amount of CO2 emitted by the gas turbine at time t; E(t) is the amount of CO2 emitted in the atmosphere at time t; d MT is the carbon emission per unit gas; d Grid Carbon emissions per unit of electricity.

[0148] The carbon emission quota expression of the comprehensive energy system is as follows:

[0149]

[0150] Among them, E CAQ_CO2 (t) is the carbon emission quota of system t, γ ele To purchase carbon emission quota per unit of electric power; MT Carbon emission quotas for gas turbines.

[0151] The carbon trading cost expression is as follows:

[0152]

[0153] Among them, C CO2 is the carbon trading cost; ε is the cost coefficient of carbon trading.

[0154] System carbon storage cost C CS :

[0155] The CO2 captured by the carbon capture device needs to be stored. The CO2 stored in the system is the amount of CO2 in the carbon storage device minus the amount of CO2 consumed in the P2G process. The expression is as follows:

[0156]

[0157] Among them, ε CS Stores a price per unit of CO2.

[0158] Cost of curtailing wind and solar power C WP :

[0159]

[0160] Among them, a WT , b PV They represent the penalty cost coefficients for wind and solar power abandonment respectively.

[0161] F2 indicates that the carbon emissions of the integrated energy system are the lowest. The specific expression is as follows:

[0162]

[0163] In addition, the two-dimensional reversible chaotic mapping sequence used in this step is used to randomize the populations of swordfish and sardines. The structure of this mapping can generate a uniformly distributed chaotic sequence in the interval [0, 1], and the structure is relatively simple. The dynamic equation of the chaotic mapping is as follows:

[0164]

[0165] Step 4: Calculate the fitness values ​​of the swordfish and sardine schools, and determine the fitness values ​​of the elite swordfish and the easiest-to-catch sardines.

[0166] Step 5: Calculate the control coefficient and update the position of the sailfish. The calculation formula is as follows:

[0167] μ(i)=2×rand(0,1)×PD-PD (33)

[0168] Among them, PD represents the prey population density, which is calculated as follows:

[0169]

[0170] Among them, N SF represents the number of swordfish populations; N S Represents the population size of sardines.

[0171] The sailfish position update formula is as follows:

[0172]

[0173] Among them, rand represents a random number between [0, 1]; represents the previous position of the i-th sailfish.

[0174] Step 6: Calculate the attack coefficient, the updated number of sardines and the updated displacement. If the attack coefficient is greater than or equal to 0.5, update the positions of all sardines. Otherwise, only update the positions of sardines with the number and displacement. The calculation formula is as follows:

[0175]

[0176] ATK=A×(1-(2×itr×ε)) (37)

[0177] in, represents the previous position of the i-th sardine; itr represents the number of current iterations; ATK represents the attack coefficient of the swordfish under itr iterations; ε is the coefficient used to linearly reduce ATK from the value A to , and the ATK parameter helps to balance the exploration and development of the search space. As the number of iterative attacks of the swordfish increases, the number and displacement of updated sardines depends on the value of ATK. When ATK ≥ 0.5, all sardine positions are updated. When ATK < 0.5, only the positions of sardines with a number α and a displacement β are updated. The calculation formula for the updated number α and updated displacement β of sardines is as follows:

[0178] α=N S ×ATK (38)

[0179] β=d×ATK (39)

[0180] Where d represents the dimension of sardines. When the fitness value of the updated sardines is better than that of the swordfish, the process of swordfish catching sardines is simulated.

[0181] Step 7: Replace the positions of the swordfish and the sardines based on the formula, and randomize the positions of the sardines after replacement. The expression is as follows:

[0182] X SF (i) = X S (i) if f(S(i))<f(S F (i)) (40)

[0183] Among them, X SF (i) represents the position of the sailfish at the i-th iteration; X S (i) represents the position of the sardine at the i-th iteration; S(i) represents the fitness value of the sardine; S F (i) represents the fitness value of swordfish.

[0184] Step 8: If r is greater than or equal to p, use the Cauchy mutation strategy to perturb the global optimal solution to generate a new solution, otherwise use the reverse strategy to generate a new solution. The expression that incorporates the reverse strategy into the algorithm is:

[0185] X′ best (i) = k × (lb-X best (i))+ub (41)

[0186]

[0187] Among them, X best (i) and X′ best (i) represents the global optimal solution and reverse solution of the population in the i-th iteration, k is a random number matrix uniformly distributed on (0, 1). ub and lb are the upper and lower bounds of the population.

[0188] Incorporating the Cauchy mutation operator into the algorithm for perturbation mutation further improves the algorithm's global search capability and escapes from local optimality. The expression of the Cauchy mutation operator is as follows:

[0189]

[0190] Among them, cauchy(0,1) is the standard Cauchy distribution function.

[0191] In the selection of reverse learning and Cauchy mutation strategy, a set probability parameter p, r is introduced to randomly distribute parameters between [0, 1]. If r < p, select formula (41) and formula (42) to perform reverse learning to update the optimal solution, otherwise select formula (43) to update the optimal solution using the Cauchy mutation strategy.

[0192] Step 9: Determine whether the fitness value of the new solution is better than the optimal solution. If so, update the optimal solution.

[0193] Step 10: Determine whether the end condition is met, if so, the program is terminated and the optimal solution is output, otherwise jump to step 4. The end condition can be set according to the actual situation, including but not limited to the number of iterations, loss threshold or any other condition that can end the algorithm cycle.

[0194] According to Figure 3 The experimental results shown in the figure show that the present invention has the following beneficial effects:

[0195] In the current technologies related to energy scheduling, there are problems such as complex scheduling objects, heavy computational burden, and poor dynamic response performance in the optimization scheduling process of carbon capture and power-to-gas interconnected electrical integrated energy systems, resulting in poor global exploration and optimization capabilities in energy optimization management of integrated energy systems. The present invention proposes an optimization scheduling strategy for carbon capture and power-to-gas interconnected electrical integrated energy systems based on an improved Sailfish (SFO) algorithm. The method uses an intelligent optimization algorithm to improve the optimization accuracy and global search capability of the system, and has strong reliability and convergence.

[0196] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0197] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A dispatching method for a CCS-P2G interconnected electrical integrated energy system, applied to a CCS-P2G interconnected electrical integrated energy system, characterized in that: The CCS-P2G interconnected electrical integrated energy system includes: power generation equipment, carbon capture equipment, carbon storage equipment, power-to-gas equipment, and gas source equipment; The power generation device, the carbon capture device and the power-to-gas device are all connected to the main power grid; the main power grid is also connected to the upper power grid respectively; the carbon capture device is also connected to the upper power grid, the carbon storage device and the power generation device respectively; the carbon storage device, the power-to-gas device, the gas source device and the power generation device are connected in sequence; the main power grid, the power-to-gas device and the gas source device are also connected to the user-side load; The power generation device is used to convert electricity using sunlight, wind power and gas energy, and to supply power to user-side loads based on the converted electricity and the electricity of the power grid; the carbon capture device is used to capture carbon dioxide emitted by equipment connected to the power grid; the carbon storage device is used to store the carbon dioxide; the power-to-gas device is used to convert electricity into hydrogen energy to supply hydrogen to user-side loads, and convert the carbon dioxide into natural gas to transmit to the gas source device; the gas source device is used to provide gas energy conversion raw materials for the power generation device based on the natural gas, and to supply gas to user-side loads; The power generation device specifically includes: a wind turbine, a photovoltaic conversion device, a gas turbine and a battery; The wind turbine, the photovoltaic conversion device, the gas turbine and the storage battery are all connected to the main power grid; the gas turbine is also connected to the carbon capture device and the gas source device respectively; the wind turbine, the photovoltaic conversion device and the gas turbine are also connected to the storage battery; The wind turbine is used to generate electricity using wind power; the photovoltaic conversion device is used to generate electricity using sunlight; the gas turbine is used to generate electricity using gas energy; the battery is used to store electrical energy and supply power to user-side loads through the main power grid; The power-to-gas device specifically comprises: an electrolyzer, a hydrogen storage tank and a methane reactor; The main power grid, the electrolyzer, the hydrogen storage tank and the methane reactor are connected in sequence; the methane reactor is also connected to the carbon storage device and the gas source device respectively; the hydrogen storage tank is also connected to the user-side load; The electrolyzer is used to electrolyze the electric energy of the main power grid to obtain hydrogen; the hydrogen storage tank is used to store hydrogen and supply hydrogen to the user-side load; the methane reactor is used to convert the carbon dioxide into natural gas and transmit it to the gas source equipment; The dispatching method of the CCS-P2G interconnected electrical integrated energy system comprises: Obtaining system load; the system load includes electrical load, hydrogen load and gas load; Determine the equipment configuration and operation parameters according to the system load; the equipment configuration includes the predicted output power of wind turbine photovoltaic power generation and related cost parameters; According to the equipment configuration, the operating parameters and the improved Sailfish algorithm, the optimal output result of the system is determined, and comprehensive energy scheduling is performed according to the optimal output result of the system; the comprehensive energy scheduling is used to control the operation of each device in the CCS-P2G interconnected electrical comprehensive energy system; The improved Sailfish algorithm is constructed according to the objective function and corresponding constraints; the objective function is a function for calculating the minimum target total operating cost and carbon emissions; the constraints include electric power balance constraints, gas power balance constraints, hydrogen power balance constraints, coupled equipment unit output constraints and energy storage equipment operation constraints; the coupled equipment unit output constraints include gas turbine, electrolyzer, carbon capture and methane reactor constraints; According to the equipment configuration, the operating parameters and the improved Sailfish algorithm, the optimal output result of the system is determined, and comprehensive energy scheduling is performed according to the optimal output result of the system, specifically including: Based on the device configuration, the operating parameters and the constraints, the number of the sailfish population and the sardine population in the improved sailfish algorithm is initialized using an Arnold chaotic mapping sequence; Calculate the fitness values ​​of the swordfish population and the sardine population, and determine the fitness values ​​of the elite swordfish and the most easily caught sardines; Calculate control coefficients and update the position of the sailfish; Calculate the attack coefficient and update the number and displacement of the sardines. If the attack coefficient is greater than or equal to 0.5, update the positions of all the sardines. If the attack coefficient is less than 0.5, only update the positions of the sardines with the number and displacement. The positions of the swordfish and the sardines are replaced, and the replaced positions of the sardines are randomized to determine random parameters; Determine whether the random parameter is less than the set probability parameter, if so, use the reverse learning strategy to generate a new solution, if not, use the Cauchy mutation strategy to generate a new solution; Determine whether the fitness value of the new solution is better than the optimal solution. If so, update the optimal solution, and determine whether the set end condition is met. If so, output the current optimal solution. If not, return to step "calculate the fitness values ​​of the swordfish population and the sardine population, and determine the fitness values ​​of the elite swordfish and the most easily captured sardines"; the optimal solution is the optimal output result of the system; Comprehensive energy dispatch is performed according to the optimal output result of the system.

2. The dispatching method of the CCS-P2G interconnected electrical integrated energy system according to claim 1 is characterized in that: The calculating of the control coefficient and updating the position of the sailfish specifically includes: Using the formula: μ(i) = 2×rand(0,1)×PD-PD, calculate the control coefficient, and using the formula: Position updates for sailfish; Among them, μ i represents the control coefficient; PD represents the prey population density; rand represents a random number between [0,1]; represents the previous position of the i-th sailfish; represents the current position of the i-th sailfish; Indicates the best position of the sailfish at the current iteration number; Indicates the optimal position of the sardines at the current iteration number.

3. The dispatching method of the CCS-P2G interconnected electrical integrated energy system according to claim 1 is characterized in that: The calculation of the attack coefficient and updating of the number and displacement of the sardines specifically include: Use the formula ATK = A × (1-(2 × itr × ε)) to calculate the attack coefficient, and use the formula α = N S ×ATK updates the number of sardines, and uses the formula β = d × ATK to update the displacement of the sardines; Where ATK represents the attack coefficient of the swordfish under itr iteration; ε represents the coefficient used to linearly reduce ATK from the value A to ; α represents the number of sardines; β represents the displacement of the sardines; N S represents the population size of sardines; d represents the dimension of sardines.

4. The dispatching method of the CCS-P2G interconnected electrical integrated energy system according to claim 1, characterized in that: The replacing of the position of the swordfish and the position of the sardines and randomizing the replaced positions of the sardines specifically include: Using formula X SF (i) = X S (i)if f(S(i)) <f(S F (i) Replace the swordfish position and the sardine position and perform randomization after replacement; Among them, X SF (i) represents the position of the sailfish at the i-th iteration; X S (i) represents the position of the sardine at the i-th iteration; S(i) represents the fitness value of the sardine; S F (i) represents the fitness value of swordfish.

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