Optimized scheduling method for integrated energy system of electrolytic aluminum park

Abstract

The invention provides an optimized scheduling method for an integrated energy system of an electrolytic aluminum park. The optimized scheduling method comprises the following steps: constructing a refined electrolytic aluminum load model, and constructing a demand response model and a carbon market model in which electrolytic aluminum load participates; an improved CSP-CCHP unit model is constructed, and an original self-contained power plant of the electrolytic aluminum park is replaced with the improved CSP-CCHP unit; an electrolytic aluminum park comprehensive energy system optimization scheduling model is constructed and solved, optimization scheduling results are obtained, and the optimization scheduling results comprise park operation total cost, park operation carbon emission, various unit output conditions and various load optimization scheduling results. Compared with a model which only considers the simple characteristic of the load in the prior art, the optimal scheduling method for the integrated energy system of the electrolytic aluminum park, provided by the invention, has the advantages that the model is more refined and practical, and accurate scheduling support is provided for participation of the load of the electrolytic aluminum park in the power market and demand response.

Description

Technical Field

[0001] The present invention relates to the field of integrated energy system optimization and low-carbon economic dispatching, and particularly relates to an optimized dispatching method for an integrated energy system in an electrolytic aluminum park. Background Art

[0002] Due to its light and durable characteristics, aluminum is widely used in many important fields such as construction, transportation, and packaging. As the world's largest producer and consumer of electrolytic aluminum, the electricity consumption of China's electrolytic aluminum industry accounted for 7% of the total social electricity consumption in 2021. The demand for the low-carbon transformation of the electrolytic aluminum industry is becoming increasingly urgent. Relevant policies encourage the electrolytic aluminum industry to reduce the use of thermal power by developing clean energy sources such as hydropower and wind power, and strive to achieve a renewable energy utilization ratio of over 25% in the industry by 2025. Under the dual effects of policy promotion and market drive, the electrolytic aluminum industry has faced the pressure and opportunities of accelerating low-carbon transformation.

[0003] Electricity consumption accounts for a very high proportion in the production process of electrolytic aluminum. Its electrical load has excellent adjustment capabilities, can quickly respond to grid demands, and adjust power. These characteristics endow the electrolytic aluminum load with great adjustment potential, enabling it to participate in the peak shaving of the power system and provide a considerable demand response capacity. For electrolytic aluminum enterprises, participating in demand response can also promote the economic and efficient use of energy by enterprises. However, current existing research still has deficiencies in aspects such as the refined modeling of electrolytic aluminum load, dynamic characteristic analysis, and safety constraint conditions, which limit its further application as a demand-side resource in the optimized dispatching of the power system.

[0004] Therefore, it is necessary to provide an optimized dispatching method for an integrated energy system in an electrolytic aluminum park to solve the above technical problems. Summary of the Invention

[0005] The present invention provides an optimized dispatching method for an integrated energy system in an electrolytic aluminum park, which solves the problem that current existing research still has deficiencies in aspects such as the refined modeling of electrolytic aluminum load, dynamic characteristic analysis, and safety constraint conditions, limiting its further application as a demand-side resource in the optimized dispatching of the power system.

[0006] To solve the above technical problems, an optimized dispatching method for an integrated energy system in an electrolytic aluminum park provided by the present invention includes the following steps:

[0007] S1. Construct a refined electrolytic aluminum load model, and construct a demand response model and a carbon market model in which the electrolytic aluminum load participates;

[0008] S2. Construct an improved CSP-CCHP unit model, and replace the original self-provided power plant in the electrolytic aluminum park with the improved CSP-CCHP unit;

[0009] S3. Build and solve the optimal scheduling model of the integrated energy system in the electrolytic aluminum park to obtain the optimal scheduling results, where the optimal scheduling results include the total operating cost of the park, the carbon emissions during park operation, the output of various types of units, and the optimal scheduling results of various types of loads.

[0010] Preferably, the refined electrolytic aluminum load model in S1 includes the following steps:

[0011] S11A. The core part of the refined electrolytic aluminum load model is as follows:

[0012]

[0013] S12A. The constraint conditions of the refined electrolytic aluminum load model include:

[0014]

[0015]

[0016] Preferably, in S11A, are respectively the power, series current, rated current, temperature, current efficiency, and rated current efficiency of the s-th electrolytic aluminum production series, R s,m , E s,m are respectively the equivalent cell resistance and equivalent back electromotive force of the s-th production series, c AL , ρ, n s , V s are respectively the specific heat capacity of the electrolyte, the density of the electrolyte, the number of electrolytic cells in the s-th production series, and the volume of the electrolytic cells, is the output of electrolytic aluminum of the s-th production series, ζ AL is the electrochemical equivalent of aluminum;

[0017] P in S12A s AL,max , P s AL,min , T s AL,max , T s AL,min are respectively the maximum and minimum power, the maximum and minimum working current, and the highest and lowest operating temperatures of the electrolytic cells in the s-th electrolytic aluminum production series, are respectively the maximum upward and downward ramp rates of the production series power, Out AL is the total output of electrolytic aluminum, P s AL,N is the rated power of the s-th production series, eps and M are respectively the minimum and maximum values, An indicator of whether the production series is in an increasing production state, a decreasing production state, or a rated production state, with a value of 1 indicating the current state. A variable power indication flag for the production series, with a value of 1 representing a power change, T hold The minimum holding time after power adjustment, Num change The maximum number of adjustment times, T up,max 、T down,max 、T unusual Are the longest duration of the increasing production and decreasing production states, and the total operating time of the increasing and decreasing production states respectively.

[0018] Preferably, the demand response model in S1 includes the following steps:

[0019] S11B. The demand response model also includes other electrical loads and heating and cooling loads. The specific model is as follows:

[0020]

[0021] S12B. After demand response optimized scheduling, the loads are as follows:

[0022]

[0023] OP t Xload =P t Xload +P t SL,Xload -P t CL,Xload .

[0024] Preferably, the P t Xload 、P t SL,Xload 、P t CL,Xload in S11B are the total power of the X load, the power of the transferable load, and the power of the reducible load respectively. ω SL,Xload 、ω CL,Xload are the proportions of the transferable and reducible loads in the X load respectively. Xload can be taken as other_eload, hload, cload, representing other electrical loads, heating loads, and cooling loads respectively;

[0025] The OP t AL,eload 、OP t Xload in S12B are the power of the electrolytic aluminum load after optimization and the power of the X load after optimization respectively.

[0026] Preferably, the carbon market model in which the electrolytic aluminum load participates in S1 includes the following steps:

[0027] S11C, Carbon Emission Trading Market Model:

[0028] S111C, Carbon Emission Quota Allocation:

[0029]

[0030] In the above formula, B e 、B h 、 B AL 、F f 、F are respectively the power generation benchmark value of coal-fired units, the heating benchmark value, the heating benchmark value of gas boilers, the carbon emission benchmark value of the electrolytic aluminum industry, the unit peak shaving output coefficient, and the unit output coefficient of the unit; CA are respectively the carbon emission quotas of coal-fired units, gas heating boilers, and the electrolytic aluminum production sequence, and the total carbon emission quota of the park;

[0031] S112C, Verification of Actual Carbon Emissions:

[0032]

[0033] In the above formula, NCV ar,i 、CC i 、OF i are respectively the actual carbon emissions of equipment X, the consumption of fuel i, the net calorific value at the receiving base, the carbon content per unit calorific value, and the carbon oxidation rate. Equipment X includes BO (coal-fired boiler) and GB (gas boiler), and fuel i includes coal and natural gas. NC loss 、S anode 、A anode are respectively the carbon emissions generated by the consumption of anodes in the electrolytic aluminum production process, the anode consumption, the anode loss rate, the average sulfur content of the anode, and the average ash content of the anode. EF CF4 、EF C2F6 、GWP CF4 、GWP C2F6 are respectively the carbon emissions caused by anode effects in the electrolytic aluminum production process, the CF4 and C2F6 emission factors of anode effects, the global warming potential of CF4 and C2F6, and CE is the total carbon emissions of the park;

[0034] S12C, Voluntary Emission Reduction Trading Market Model:

[0035] S121C, Baseline Emissions of CCER Projects:

[0036]

[0037] EFgrid,CM = EF grid,OM · ω OM + EF grid,BM · ω BM

[0038]

[0039] In the above formula, EF grid,CM , EF grid,OM , EF grid,BM , ω OM , ω BM are respectively the baseline emissions of the s-th CSP project, the combined marginal emission factor, the electricity marginal emission factor, the capacity marginal emission factor of the power grid in the project area, the weights of the electricity marginal emission factor and the capacity marginal emission factor, SEF BL , EF H,co2,i , η H,ref are respectively the heating baseline carbon dioxide emission factor, the CO2 emission factor of the baseline boiler using fossil fuels for heating, the efficiency of the baseline heating boiler, and BE is the total baseline emissions of all CCER projects in the park;

[0040] S122C, Actual emissions of CCER projects:

[0041]

[0042] In the above formula, are respectively the coal consumption and actual emissions of CSP, and PE is the total actual emissions of all CCER projects in the park;

[0043] S123C, Carbon market trading model:

[0044]

[0045] ER = BE - PE

[0046]

[0047] In the above formula, CA buy , ER sell , ER, are respectively the carbon emission allowances to be purchased by the electrolytic aluminum park, the CCER volume participating in the voluntary emission reduction trading market, the total emission reduction volume of CCER projects, and the CCER volume used to offset part of its own carbon emissions.

[0048] Preferably, the improved CSP-CCHP unit model of S2 includes the following steps:

[0049] S21, The core part of the improved CSP-CCHP unit model is as follows:

[0050]

[0051]

[0052] S22. The constraint conditions of the improved CSP-CCHP unit include:

[0053]

[0054] Preferably, D in S21 s,t is the direct radiation index, and S s , are the mirror field area and the solar-thermal conversion efficiency of the CSP system respectively, is the coal consumption of the coal-fired boiler, and λ coal is the average low calorific value of the coal, are the power absorbed by the mirror field, the power delivered to the steam generating device, and the power stored in the heat storage device respectively, are the power stored during heat storage of the heat storage device, the power reduced during heat release, the power released to the steam generator, and the power released to the molten salt / water heat exchanger respectively, are the thermal energy absorbed by the absorption chiller of the CSP system and the direct heating thermal energy respectively, are the power provided by the CSP system to the steam turbine and the power delivered by the coal-fired boiler to the heat storage device respectively, are the heat storage efficiency of the heat storage device, the heat release efficiency of the heat storage device, the efficiency of the molten salt / water heat exchanger, the efficiency of the steam / molten salt heat exchanger, the efficiency of the steam generator, the combustion efficiency of the CCHP coal-fired boiler, and the power generation efficiency in the pure condensing state of the steam turbine respectively, are the power output by the CCHP system coal-fired boiler and the power delivered to the steam turbine respectively, are the power returned by the regenerative module in the CCHP system and the total input power of the steam turbine respectively, are the power generation in the pure condensing state of the CCHP system, the power generation in the extraction steam state, and the thermal energy output in the extraction steam state, Cv s is the slope of the steam inlet operating condition line of the CCHP unit, are the thermal energy absorbed by the absorption chiller in the CCHP system and the thermal energy absorbed by the steam / water heat exchanger respectively, are the cold energy generated by the absorption chiller of the CSP system and the cold energy and thermal energy generated by the absorption chiller of the CCHP system respectively, are the absorption chiller efficiency of the CSP system, the absorption chiller efficiency of the CCHP system, and the efficiency of the steam / water heat exchanger respectively;

[0055] P in S22 s BO,max 、P s BO,min 、P s ST,max 、P s ST,min 、P s CSP,ST,max 、P s CSP,ST,min are respectively the maximum and minimum output powers of the coal-fired boiler, the maximum and minimum output powers of the steam turbine, and the maximum and minimum output powers of the CSP steam generator in the CCHP system, are respectively the maximum upward and downward ramping rates of the coal-fired boiler and the maximum upward and downward ramping rates of the CSP steam generator in the CCHP system, are respectively the maximum and minimum coefficients for providing regenerative heat by the regenerative heat module, Cm s 、P s Ex,h,0 are respectively the slope and zero point of the minimum condensing condition line of the CCHP system, is the heat dissipation coefficient of the heat storage system, is the power stored in the heat storage device, P s TES,get,max 、P s TES,reduce,max 、P s TES,max 、P s TES,min are respectively the maximum single charging heat, the maximum single discharging heat, the upper limit and the lower limit of heat energy storage of the heat storage device, P s CCHP,AC,c,max 、P s CCHP,AC,c,min 、P s CSP,AC,c,max 、P s CSP,AC,c,min are respectively the upper and lower limits of the output power of the absorption chiller in the CCHP system and the upper and lower limits of the output power of the absorption chiller in the CSP system.

[0056] Preferably, S3 includes the following steps:

[0057] S31. The integrated energy system optimal dispatch model of the electrolytic aluminum park takes the total operating cost of the park as the objective function:

[0058] minC total =C fuel +C gridbuy -C gridsell +C WPbuy +C carbon -C CCER +CDR +C storge

[0059]

[0060] C carbon = CA buy ·c CA,buy

[0061] C CCER = ER sell ·c ER,sell

[0062]

[0063] In the above formula, C total 、C fuel 、C gridbuy 、C gridsell 、C WPbuy 、C carbon 、C CCER 、C DR 、C storge are respectively the total operating cost, fuel cost, grid power purchase cost, grid power sales revenue, wind and photovoltaic power purchase cost, carbon emission quota purchase cost, CCER transaction revenue, demand response compensation cost, and electro-thermal energy storage call cost of the electrolytic aluminum park, and c coal 、c gas 、 c CA,buy 、c ER,sell are respectively the coal price, natural gas price, grid power purchase price, grid power sales price, wind and photovoltaic power purchase price, carbon emission quota price, CCER price, and c DR,AL 、c DR,e 、c DR,h 、c DR,c are respectively the production series load regulation cost coefficient, other electric load reduction compensation coefficient, heat load reduction compensation coefficient, and cold load reduction compensation coefficient, and c TES,storge 、c EES,storge are respectively the call costs of unit power thermal energy storage and electrical energy storage;

[0064] S31. The constraint conditions of the integrated energy system of the electrolytic aluminum park are as follows:

[0065]

[0066]

[0067] 0 ≤ P t pv ≤ P t PV

[0068] 0 ≤ P t wt ≤ P t WT

[0069] 0 ≤ P t buy ≤ P net,max

[0070] 0 ≤ P t sell ≤ P net,max

[0071] P t sell P t buy = 0

[0072] P GB,min ≤ P t GB ≤ P GB,max

[0073]

[0074] P EC,c,min ≤ P t EC,c ≤ P EC,c,max

[0075] P HP,h,min ≤ P t HP,h ≤ P HP,h,max

[0076]

[0077] 0 ≤ P t EES,get ≤ P EES,get,max

[0078] 0 ≤ P t EES,reduce ≤ P EES,reduce,max

[0079] P EES,min ≤ P t EES ≤ P EES,max

[0080]

[0081] P t EES,cha ·P t EES,dis = 0;

[0082] In the above formula, Pt pv , P t wt , P t buy , P t sell , P t EES,get , P t EES,reduce are the output power of the PV power station, the output power of the wind power station, the electricity purchased from the distribution network via the tie line, the electricity sold to the distribution network, the actual charge of the electrical energy storage, and the reduced electricity during the discharge of the electrical energy storage, OP t AL,eload , OP t other,eload , OP t hload , OP t cload are the electrolytic aluminum electrical load power, other electrical load power, thermal load power, and cooling load power after participating in demand response, P t HP,e , P t EC,e are the electrical energy consumed by the heat pump and the electric chiller, η EES,cha , η EES,dis are the charge and discharge efficiencies of the electrical energy storage, is the natural gas consumption of the gas boiler, λ gas is the average low calorific value of natural gas, η GB , η EC , η HP are the combustion efficiency of the gas boiler, the efficiency of the electric chiller, and the efficiency of the heat pump, P t PV , P t WT are the predicted power generation of PV and wind power, P t pv , P t wt , P t buy , P t sell are the actual consumption of PV and wind power, the values of electricity purchased from and sold to the distribution network, P net,max is the maximum transmission power of the tie line, P GB,max , P GB,min , P EC,c,max , P EC,c,min , P HP,h,max , P HP,h,min are the upper and lower limits of the output of the gas boiler, the upper and lower limits of the output of the electric chiller, and the upper and lower limits of the output of the heat pump, R GB,up,max , RGB,down,max are the maximum upward and downward ramping rates of the gas boiler, η EES,loss is the power dissipation coefficient of the electrical energy storage system, P t EES is the electric power stored in the electrical energy storage, P EES,get,max 、P EES ,reduce,max 、P EES,max 、P EES,min are the maximum single charge, maximum single discharge, upper limit and lower limit of the electrical energy storage respectively.

[0083] Preferably, the solution is completed by Matlab calling the Gurobi solver.

[0084] Compared with the related technologies, an optimized scheduling method for the integrated energy system of an electrolytic aluminum park provided by the present invention has the following beneficial effects:

[0085] The present invention provides an optimized scheduling method for the integrated energy system of an electrolytic aluminum park, and establishes a refined mathematical model of the electrolytic aluminum load. The model includes the coupling relationships among load power, current, temperature, production efficiency, etc., and power regulation constraints, production increase and decrease state duration constraints, etc., to avoid the frequent change of the electrolytic cell power affecting production efficiency, increasing equipment losses, and even affecting production safety. Compared with the models in the prior art that only consider the simple characteristics of the load, the model of the present invention is more refined and practical, providing precise scheduling support for the electrolytic aluminum park load to participate in the power market and demand response;

[0086] Incorporating the electrolytic aluminum load into the carbon market, the enterprise's carbon emission quota is determined by the aluminum output, and the actual emissions are verified through links such as anode consumption and anode reaction emissions. The carbon emission quota constraint promotes the low-carbon operation of the park. At the same time, the CSP part in the improved CSP-CCHP unit in the park can produce CCER emission reduction amounts, which can offset part of the enterprise's carbon emission quota demand according to relevant policies, and can also participate in the national voluntary greenhouse gas emission reduction trading market to bring benefits to the enterprise. Compared with the prior art, the present invention details the calculation of carbon emissions and CCER emission reduction amounts in the electrolytic aluminum production process, achieving the maximum balance of economic benefits while promoting the low-carbon development of enterprises;

[0087] Innovatively combine the CSP system with a coal-fired unit through a steam turbine. Compared with traditional coal-fired combined heat and power units, the CSP-CCHP unit constructed in the present invention realizes efficient energy flow management by improving the energy flow path, effectively reducing the carbon emission intensity. Compared with traditional CSP units, the CSP-CCHP unit constructed in the present invention can drive refrigeration and heating equipment through the heat released by the molten salt energy storage device of the CSP system to achieve combined supply of electricity, heat and cold. By constructing the CSP-CCHP unit, the present invention enhances the flexibility and energy efficiency of the energy supply system, provides stable cooling, heating and power supply for the park, and effectively reduces energy waste and carbon emissions. Description of the Drawings

[0088] Figure 1 It is a schematic structural diagram of a preferred embodiment of an optimized scheduling method for an integrated energy system in an electrolytic aluminum park provided by the present invention;

[0089] Figure 2 It is a schematic diagram of the principle of the improved CSP-CCHP unit. Detailed Embodiments

[0090] The present invention will be further described below in conjunction with the drawings and embodiments.

[0091] Please refer to Figure 1 and Figure 2 , wherein, Figure 1 It is a schematic structural diagram of a preferred embodiment of an optimized scheduling method for an integrated energy system in an electrolytic aluminum park provided by the present invention; Figure 2 It is a schematic diagram of the principle of the improved CSP-CCHP unit. An optimized scheduling method for an integrated energy system in an electrolytic aluminum park includes the following steps:

[0092] S1. Build a refined electrolytic aluminum load model, and build a demand response model and a carbon market model involving the electrolytic aluminum load;

[0093] S2. Build an improved CSP-CCHP unit model, and replace the original self-provided power plant in the electrolytic aluminum park with the improved CSP-CCHP unit;

[0094] S3. Build and solve an optimized scheduling model for the integrated energy system in the electrolytic aluminum park to obtain the optimized scheduling results, where the optimized scheduling results include the total operating cost of the park, the carbon emissions during park operation, the output of various units, and the optimized scheduling results of various loads.

[0095] The refined electrolytic aluminum load model in S1 includes the following steps:

[0096] S11A. The core part of the refined electrolytic aluminum load model is as follows:

[0097] There is a coupling relationship between the power and current of the electrolytic aluminum load, which can be expressed as:

[0098]

[0099] The coupling relationship between electrolytic aluminum load power and temperature can be expressed as:

[0100]

[0101] The current of the electrolytic aluminum load will affect the current efficiency, and the relationship between the two can be expressed as:

[0102]

[0103] The output of the electrolytic cell is related to the current and current efficiency, which can be expressed as:

[0104] S12A. The constraints of the refined electrolytic aluminum load model include: in the electrolytic aluminum production process, in order to ensure production efficiency, reduce equipment loss and ensure production safety, the power, power ramp rate, electrolytic cell current and temperature of the electrolytic aluminum load need to be constrained within a certain range. In order to complete the production plan on time, the daily output needs to be constrained.

[0105]

[0106] The production efficiency of electrolytic aluminum will change with the change of current, so there are three states: increased production, reduced production, and rated production. Each production series can only be in one operating state at any time:

[0107]

[0108] Continuous adjustment of the electrolytic aluminum load will cause frequent fluctuations in the electrolytic cell temperature, resulting in unstable redox reactions in the cell, which in turn affects production efficiency and product quality. In addition, frequent load adjustment will also increase equipment wear. To avoid the above situation, power adjustment needs to be restricted. The electrolytic aluminum load power adjustment status indication is:

[0109]

[0110] Continuous Adjustment Constraints:

[0111]

[0112] Maximum adjustment times constraint:

[0113]

[0114] When operating under increased or decreased production conditions, the operating current is different from the rated current, which will affect the service life and production efficiency of production equipment. To ensure production safety and the smooth completion of the production plan, the time under increased or decreased production conditions is restricted as follows:

[0115]

[0116] In the said S11A are respectively the power, series current, rated current, temperature, current efficiency, and rated current efficiency of the s-th electrolytic aluminum production series, R s,m , E s,m are respectively the equivalent cell resistance and equivalent back electromotive force of the s-th production series, c AL , ρ, n s , V s are respectively the specific heat capacity of the electrolyte, the density of the electrolyte, the number of electrolytic cells in the s-th production series, and the volume of the electrolytic cells, is the output of electrolytic aluminum of the s-th production series, ζ AL is the electrochemical equivalent of aluminum;

[0117] The P in the said S12A s AL,max , P s AL,min , T s AL,max , T s AL,min are respectively the maximum and minimum power, the maximum and minimum operating current, and the highest and lowest operating temperatures of the electrolytic cells in the s-th electrolytic aluminum production series, are respectively the maximum upward and downward ramp rates of the production series power, Out AL is the total output of electrolytic aluminum, P s AL,N is the rated power of the s-th production series, eps and M are respectively the minimum value and the maximum value, is the indicator of whether the production series is in the increased production state, decreased production state, or rated production state. The value of 1 indicates that it is currently in this state, is the variable power indication flag of the production series. When the value is 1, it represents that the power has changed, T hold is the minimum holding time after power adjustment, Num change is the maximum number of adjustments, T up,max , T down,max , T unusual are respectively the longest duration of the increased production and decreased production states, and the total operating time of the increased or decreased production state.

[0118] The demand response model in the said S1 includes the following steps:

[0119] To build a demand response model, in addition to the aluminum electrolysis load with a certain adjustment ability participating in demand response as mentioned above, the demand response model also includes other electrical loads and heating and cooling loads. According to the load characteristics participating in demand response, they can be divided into shiftable loads and curtailable loads;

[0120] S11B. The demand response model also includes other electrical loads and heating and cooling loads. The specific model is as follows:

[0121]

[0122] S12B. After demand response optimized scheduling, each load is as follows:

[0123]

[0124] OP t Xload =P t Xload +P t SL,Xload -P t CL,Xload .

[0125] The P t Xload , P t SL,Xload , P t CL,Xload in S11B are the total power of the X load, the power of the shiftable load, and the power of the curtailable load respectively. ω SL,Xload , ω CL,Xload are the proportions of the shiftable and curtailable loads in the X load respectively. Xload can be taken as other_eload, hload, cload, representing other electrical loads, heating loads, and cooling loads respectively;

[0126] The OP t AL,eload , OP t Xload in S12B are the power of the aluminum electrolysis load after optimization and the power of the X load after optimization respectively.

[0127] The carbon market model in which the aluminum electrolysis load in S1 participates includes the following steps:

[0128] S11C. Carbon emission rights trading market model:

[0129] S111C. Carbon emission quota allocation:

[0130]

[0131] In the above formula, B e , Bh , B AL , F f , F are respectively the power generation reference value of a coal-fired unit, the heat supply reference value, the heat supply reference value of a gas boiler, the carbon emission reference value of the electrolytic aluminum industry, the unit peak shaving output coefficient, and the unit output coefficient of the unit; CA are respectively the carbon emission quotas of the coal-fired unit, gas heating boiler, and electrolytic aluminum production sequence, and the total carbon emission quota of the park;

[0132] S112C, actual carbon emission verification:

[0133]

[0134]

[0135] In the above formula, NCV ar,i , CC i , OF i are respectively the actual carbon emissions of equipment X, the consumption of fuel i, the net calorific value as received, the carbon content per unit calorific value, and the carbon oxidation rate. Equipment X includes BO (coal-fired boiler) and GB (gas boiler), and fuel i includes coal and natural gas. NC loss , S anode , A anode are respectively the carbon emissions generated by consuming anodes in the electrolytic aluminum production process, the anode consumption, the anode loss rate, the average sulfur content of the anode, and the average ash content of the anode. EF CF4 , EF C2F6 , GWP CF4 , GWP C2F6 are respectively the carbon emissions brought about by anode effects in the electrolytic aluminum production process, the CF4 and C2F6 emission factors of anode effects, the global warming potentials of CF4 and C2F6, and CE is the total carbon emissions of the park.

[0136] S12C, voluntary emission reduction trading market model:

[0137] S121C, baseline emissions of CCER projects:

[0138]

[0139] EF grid,CM = EF grid,OM ·ω OM + EF grid,BM ·ω BM

[0140]

[0141] In the above formula, EF grid,CM and EF grid,OM and EF grid,BM and ω OM and ω BM are respectively the baseline emissions of the s-th CSP project, the combined marginal emission factor, the electricity marginal emission factor, the capacity marginal emission factor of the regional power grid where the project is located, the weights of the electricity marginal emission factor and the capacity marginal emission factor, SEF BL and EF H,co2,i and η H,ref are respectively the baseline carbon dioxide emission factor for heating, the CO2 emission factor of the baseline boiler using fossil fuels for heating, and the efficiency of the baseline heating boiler. BE is the total baseline emissions of all CCER projects in the park;

[0142] S122C, actual emissions of CCER projects:

[0143]

[0144] In the above formula, are respectively the coal consumption and actual emissions of CSP, and PE is the total actual emissions of all CCER projects in the park;

[0145] S123C, carbon market trading model:

[0146]

[0147] ER = BE - PE

[0148]

[0149] In the above formula, CA buy and ER sell and ER, are respectively the carbon emission allowances to be purchased by the electrolytic aluminum park, the CCER volume participating in the voluntary emission reduction trading market, the total emission reduction of CCER projects, and the CCER volume used to offset part of its own carbon emissions.

[0150] The improved CSP-CCHP unit model of S2 includes the following steps:

[0151] S21, the core part of the improved CSP-CCHP unit model is as follows:

[0152]

[0153]

[0154] S22, the constraint conditions of the improved CSP-CCHP unit include:

[0155]

[0156] In S21, D s,t is the direct radiation index, and S s 、 are the mirror field area and the photothermal conversion efficiency of the CSP system respectively, is the coal consumption of the coal-fired boiler, and λ coal is the average low calorific value of the coal, are the power absorbed by the mirror field, the power delivered to the steam generation device, and the power stored in the heat storage device respectively, are the power stored during heat storage of the heat storage device, the power reduced during heat release, the power released to the steam generator, and the power released to the molten salt / water heat exchanger respectively, are the thermal energy absorbed by the absorption chiller and the direct heating thermal energy of the CSP system respectively, are the power provided by the CSP system to the steam turbine and the power delivered by the coal-fired boiler to the heat storage device respectively, are the heat storage efficiency of the heat storage device, the heat release efficiency of the heat storage device, the efficiency of the molten salt / water heat exchanger, the efficiency of the steam / molten salt heat exchanger, the efficiency of the steam generator, the combustion efficiency of the CCHP coal-fired boiler, and the power generation efficiency in the pure condensing state of the steam turbine respectively, are the power output by the CCHP system coal-fired boiler and the power delivered to the steam turbine respectively, are the power returned by the regenerative module in the CCHP system and the total input power of the steam turbine respectively, are the power generation in the pure condensing state, the power generation in the extraction steam state, and the thermal energy output in the extraction steam state of the CCHP system, and Cv s is the slope of the steam inlet operating condition line of the CCHP unit, are the thermal energy absorbed by the absorption chiller and the thermal energy absorbed by the steam / water heat exchanger in the CCHP system respectively, are the cooling energy generated by the absorption chiller of the CSP system and the cooling energy and thermal energy generated by the absorption chiller of the CCHP system respectively, are the absorption chiller efficiency of the CSP system, the absorption chiller efficiency of the CCHP system, and the efficiency of the steam / water heat exchanger respectively;

[0157] In S22, P s BO,max 、P s BO,min 、P s ST,max 、P s ST,min 、P s CSP,ST,max 、Ps CSP,ST,min are the maximum and minimum output powers of the coal-fired boiler, the maximum and minimum output powers of the steam turbine, and the maximum and minimum output powers of the CSP steam generator in the CCHP system, respectively. are the maximum upward and downward ramp rates of the coal-fired boiler and the maximum upward and downward ramp rates of the CSP steam generator in the CCHP system, respectively. are the maximum and minimum coefficients for providing regenerative heat by the regenerative heat module, Cm s and P s Ex,h,0 are the slope and zero point of the minimum condensing condition line of the CCHP system, respectively. is the heat dissipation coefficient of the thermal energy storage system. is the power stored in the thermal energy storage device, P s TES,get,max and P s TES,reduce,max and P s TES,max and P s TES,min are the maximum single-time heat charge, the maximum single-time heat discharge, the upper limit and the lower limit of the thermal energy storage of the thermal energy storage device, respectively, P s CCHP,AC,c,max and P s CCHP,AC,c,min and P s CSP,AC,c,max and P s CSP,AC,c,min are the upper and lower limits of the output power of the absorption chiller in the CCHP system and the upper and lower limits of the output power of the absorption chiller in the CSP system, respectively.

[0158] S3 includes the following steps:

[0159] S31. The integrated energy system optimization dispatch model of the electrolytic aluminum park takes the total operation cost of the park as the objective function:

[0160] minC total = C fuel + C gridbuy - C gridsell + C WPbuy + C carbon - C CCER + C DR + C storge

[0161]

[0162] C carbon = CA buy · c CA,buy

[0163] C CCER = ER sell ·c ER,sell

[0164]

[0165] In the above formula, C total 、C fuel 、C gridbuy 、C gridsell 、C WPbuy 、C carbon 、C CCER 、C DR 、C storge are respectively the total operating cost, fuel cost, grid power purchase cost, power sales revenue to the grid, wind power and photovoltaic power purchase cost, carbon emission quota purchase cost, CCER transaction revenue, demand response compensation cost, and electro-thermal energy storage call cost of the electrolytic aluminum park, c coal 、c gas 、 c CA,buy 、c ER,sell are respectively the coal price, natural gas price, grid power purchase price, power sales price to the grid, wind power and photovoltaic power purchase price, carbon emission quota price, CCER price, c DR,AL 、c DR,e 、c DR,h 、c DR,c are respectively the production series load regulation cost coefficient, other electric load reduction compensation coefficient, heat load reduction compensation coefficient, and cold load reduction compensation coefficient, c TES,storge 、c EES,storge are respectively the call costs of unit power thermal energy storage and electrical energy storage;

[0166] S31. The constraints of the integrated energy system of the electrolytic aluminum park are as follows:

[0167]

[0168]

[0169] 0 ≤ P t pv ≤ P t PV

[0170] 0 ≤ P t wt ≤ P t WT

[0171] 0 ≤ P t buy ≤ P net,max

[0172] 0 ≤ P t sell ≤ P net,max

[0173] P t sell P t buy = 0

[0174] P GB,min ≤ P t GB ≤ P GB,max

[0175]

[0176] P EC,c,min ≤ P t EC,c ≤ P EC,c,max

[0177] P HP,h,min ≤ P t HP,h ≤ P HP,h,max

[0178]

[0179] 0 ≤ P t EES,get ≤ P EES,get,max

[0180] 0 ≤ P t EES,reduce ≤ P EES,reduce,max

[0181] P EES,min ≤ P t EES ≤ P EES,max

[0182]

[0183] P t EES,cha ·P t EES,dis = 0;

[0184] In the above formula, P t pv , P t wt , P t buy , P t sell , P t EES,get , P tEES,reduce are respectively the output power of the PV power station, the output power of the wind power station, the electricity quantity purchased from the distribution network via the tie line, the electricity quantity sold to the distribution network, the actual charging quantity of the electrical energy storage, and the reduced electricity quantity during the discharge of the electrical energy storage, OP t AL,eload 、OP t other,eload 、OP t hload 、OP t cload are respectively the electrolytic aluminum electrical load power, other electrical load power, thermal load power, and cooling load power after participating in demand response, P t HP,e 、P t EC,e are respectively the electric energy consumed by the heat pump and the electric chiller, η EES,cha 、η EES,dis are respectively the charge-discharge efficiency of the electrical energy storage, M t GB,gas is the natural gas quantity consumed by the gas boiler, λ gas is the average low calorific value of natural gas, η GB 、η EC 、η HP are respectively the combustion efficiency of the gas boiler, the efficiency of the electric chiller, and the efficiency of the heat pump, P t PV 、P t WT are the predicted power generation powers of PV and wind power, P t pv 、P t wt 、P t buy 、P t sell are respectively the actual consumption quantities of PV and wind power, the values of purchasing electricity from and selling electricity to the distribution network, P net,max is the maximum transmission power of the tie line, P GB,max 、P GB,min 、P EC ,c ,max 、P EC ,c ,min 、P HP ,h ,max 、P HP,h,min are respectively the upper and lower limits of the output of the gas boiler, the upper and lower limits of the output of the electric chiller, and the upper and lower limits of the output of the heat pump, R GB,up,max 、R GB,down,max are respectively the maximum upward and downward ramp rates of the gas boiler, η EES,loss is the electrical energy dissipation coefficient of the electrical energy storage system, P t EES is the electrical power stored in the electrical energy storage, PEES,get,max , P EES ,reduce,max , P EES,max , P EES,min are the single - maximum charge, single - maximum discharge, upper and lower limits of electrical energy storage, respectively.

[0185] The solution is completed by calling the Gurobi solver through Matlab.

[0186] Compared with the related technologies, an optimized scheduling method for the integrated energy system of an electrolytic aluminum park provided by the present invention has the following beneficial effects:

[0187] The present invention provides an optimized scheduling method for the integrated energy system of an electrolytic aluminum park, and establishes a refined mathematical model of the electrolytic aluminum load. This model includes the coupling relationships among load power, current, temperature, production efficiency, etc., and power regulation constraints, production increase - decrease state duration constraints, etc., avoiding the frequent change of electrolytic cell power from affecting production efficiency, increasing equipment loss, and even affecting production safety. Compared with the models in the prior art that only consider the simple characteristics of the load, the model of the present invention is more refined and practical, providing precise scheduling support for the electrolytic aluminum park load to participate in the electricity market and demand response;

[0188] Incorporating the electrolytic aluminum load into the carbon market, the enterprise's carbon emission quota is determined by the aluminum output, and the actual emissions are verified through links such as anode consumption and anode reaction emissions. The carbon emission quota constraint promotes the low - carbon operation of the park. At the same time, the CSP part in the improved CSP - CCHP unit of the park can produce CCER emission reduction volume, which can offset part of its own carbon emission quota demand according to relevant policies, and can also participate in the national voluntary greenhouse gas emission reduction trading market transaction to bring benefits to the enterprise. Compared with the prior art, the present invention details the calculation of carbon emissions and CCER emission reduction volume in the electrolytic aluminum production process, achieving the maximum balance of economic benefits while promoting the low - carbon development of enterprises;

[0189] Innovatively combining the CSP system with a coal - fired unit through a steam turbine, compared with traditional coal - fired combined heat and power units, the CSP - CCHP unit constructed by the present invention realizes efficient energy flow management by improving the energy flow path, effectively reducing the carbon emission intensity. Compared with traditional CSP units, the CSP - CCHP unit constructed by the present invention can drive refrigeration and heating equipment through the heat released by the molten salt thermal energy storage device of the CSP system, realizing combined heat, power and cold supply. By constructing the CSP - CCHP unit, the present invention enhances the flexibility and energy efficiency of the energy supply system, provides stable cooling, heating and power supply for the park, and effectively reduces energy waste and carbon emissions.

[0190] The above are only embodiments of the present invention, and thus do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall similarly be included within the patent protection scope of the present invention.

Claims

1. An optimal scheduling method for the integrated energy system of an electrolytic aluminum park, characterized in that It includes the following steps: S1. Construct a refined electrolytic aluminum load model, and construct a demand response model and a carbon market model in which the electrolytic aluminum load participates; S2. Construct an improved CSP-CCHP unit model, and replace the original self-provided power plant in the electrolytic aluminum park with the improved CSP-CCHP unit; S3. Construct and solve the optimal scheduling model of the integrated energy system in the electrolytic aluminum park to obtain the optimal scheduling results, where the optimal scheduling results include the total operating cost of the park, the carbon emissions during the park operation, the output of various units, and the optimal scheduling results of various loads.

2. The optimized scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 1, characterized in that The refined electrolytic aluminum load model in S1 includes the following steps: S11A. The core part of the refined electrolytic aluminum load model is as follows: S12A. The constraint conditions of the refined electrolytic aluminum load model include:

3. The optimization scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 2, wherein In the said S11A are respectively the power, series current, rated current, temperature, current efficiency, and rated current efficiency of the s-th series for primary aluminum production, R s,m , E s,m are respectively the equivalent cell resistance and equivalent back electromotive force of the s-th production series, c AL , ρ, n s , V s are respectively the specific heat capacity of the electrolyte, electrolyte density, number of cells in the s-th production series, and volume of the cells, is the output of primary aluminum of the s-th production series, ζ AL is the electrochemical equivalent of aluminum; In the S12A are respectively the maximum and minimum power, the maximum and minimum working current of the s-th electrolytic aluminum production series, the highest and lowest operating temperatures of the electrolytic cells in the production series, are respectively the maximum upward and downward ramp rates of the production series power, Out AL is the total output of electrolytic aluminum, is the rated power of the s-th production series, eps and M are respectively the minimum value and the maximum value, is the indicator of whether the production series is in the state of increasing production, decreasing production or rated production, and the value of 1 indicates that it is in the current state, is the variable power indication flag of the production series, and the value of 1 represents that the power has changed, T hold is the minimum holding time after power adjustment, Num change is the maximum number of adjustments, T up,max 、T down,max 、T unusual are respectively the longest duration of the increasing production and decreasing production states, and the total operating time of the increasing and decreasing production states.

4. The optimized scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 1, characterized in that, The demand response model in S1 includes the following steps: S11B. The demand response model also includes other electrical loads and cooling and heating loads, and the specific model is as follows: S12B. The following are the various loads after the demand response optimal scheduling:

5. The optimized scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 4, characterized in that The P in S11B t Xload and P t SL,Xload and P t CL,Xload are the total power of the X load, the power of the shiftable load, and the power of the curtailable load respectively. ω SL,Xload and ω CL,Xload are the proportions of the shiftable and curtailable loads in the X load respectively. Xload can be taken as other_eload, hload, or cload, representing other electrical loads, heating loads, and cooling loads respectively; OP in S12B t AL,eload and OP t Xload are the optimized load power of electrolytic aluminum and the optimized load power of X respectively.

6. The optimized scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 1, characterized in that, The carbon market model in which the electrolytic aluminum load participates in S1 includes the following steps: S11C. Carbon emission rights trading market model: S111C. Allocation of carbon emission quotas: In the above formula, B e , B h , B AL , F f , F are respectively the power generation reference value of the coal-fired unit, the heat supply reference value, the heat supply reference value of the gas boiler, the carbon emission reference value of the electrolytic aluminum industry, the unit peak shaving output coefficient, and the unit output coefficient; CA are respectively the carbon emission allowances of the coal-fired unit, the gas heating boiler, and the electrolytic aluminum production sequence, and the total carbon emission allowance of the park; S112C. Verification of actual carbon emissions: In the above formula, NCV ar,i , CC i , OF i are respectively the actual carbon emissions of equipment X, the consumption of fuel i, the net calorific value as received, the carbon content per unit calorific value, and the carbon oxidation rate. Equipment X includes BO (coal-fired boiler) and GB (gas-fired boiler), and fuel i includes coal and natural gas. NC loss , S anode , A anode are respectively the carbon emissions generated by the consumption of anodes in the production process of electrolytic aluminum, the anode consumption, the anode loss rate, the average sulfur content of the anode, and the average ash content of the anode. EF CF4 , EF C2F6 , GWP CF4 , GWP C2F6 are respectively the carbon emissions caused by anode effects in the production process of electrolytic aluminum, the CF4 and C2F6 emission factors of anode effects, the global warming potentials of CF4 and C2F6, and CE is the total carbon emissions of the park. S12C. Voluntary emission reduction trading market model: S121C. Baseline emissions of CCER projects: EF grid,CM = EF grid,OM · ω OM + EF grid,BM · ω BM In the above formula, EF grid,CM , EF grid,OM , EF grid,BM , ω OM , ω BM are the baseline emissions of the s-th CSP project, the combined marginal emission factor, the electricity marginal emission factor, the capacity marginal emission factor of the regional power grid where the project is located, the weights of the electricity marginal emission factor and the capacity marginal emission factor, SEF BL , EF H,co2,i , η H,ref are the baseline carbon dioxide emission factor for heating, the CO2 emission factor of the baseline boiler using fossil fuels for heating, and the efficiency of the baseline heating boiler, respectively. BE is the total baseline emissions of all CCER projects in the park; S122C. Actual emissions of CCER projects: In the above formula, are the coal consumption and actual emissions of CSP respectively, and PE is the total actual emissions of all CCER projects in the park; S123C. Carbon market trading model: ER = BE - PE In the above formula, CA buy , ER sell , ER, are the carbon emission allowances to be purchased by the electrolytic aluminum park, the CCER volume participating in the voluntary emission reduction trading market, the total emission reduction volume of the CCER project, and the CCER volume used to offset part of its own carbon emissions, respectively.

7. The optimal scheduling method for the integrated energy system in an electrolytic aluminum park according to claim 1, wherein, The improved CSP-CCHP unit model in S2 includes the following steps: S21. The core part of the improved CSP-CCHP unit model is as follows: S22. The constraint conditions of the improved CSP-CCHP unit include:

8. The optimized scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 7, characterized in that In S21, D s,t is the direct radiation index, and S s , are the mirror field area and the photothermal conversion efficiency of the CSP system respectively, is the coal consumption of the coal-fired boiler, and λ coal is the average low calorific value of coal, are the power absorbed by the mirror field, the power delivered to the steam generating device, and the power stored in the heat storage device respectively, are the power stored during heat storage of the heat storage device, the power reduced during heat release, the power released to the steam generator, and the power released to the molten salt / water heat exchanger respectively, are the thermal energy absorbed by the absorption chiller and the direct heating thermal energy of the CSP system respectively, are the power provided by the CSP system to the steam turbine and the power delivered by the coal-fired boiler to the heat storage device respectively, are the heat storage efficiency of the heat storage device, the heat release efficiency of the heat storage device, the efficiency of the molten salt / water heat exchanger, the efficiency of the steam / molten salt heat exchanger, the efficiency of the steam generator, the combustion efficiency of the CCHP coal-fired boiler, and the power generation efficiency in the pure condensing state of the steam turbine respectively, are the power output by the CCHP system coal-fired boiler and the power delivered to the steam turbine respectively, are the power returned by the regenerative module in the CCHP system and the total input power of the steam turbine respectively, are the power generation in the pure condensing state, the power generation in the extraction steam state, and the thermal energy output in the extraction steam state of the CCHP system, and Cv s is the slope of the steam inlet condition line of the CCHP unit, are the thermal energy absorbed by the absorption chiller and the thermal energy absorbed by the steam / water heat exchanger in the CCHP system respectively, are the cooling energy generated by the absorption chiller of the CSP system and the cooling energy and thermal energy generated by the absorption chiller of the CCHP system respectively, are the absorption chiller efficiency of the CSP system, the absorption chiller efficiency of the CCHP system, and the efficiency of the steam / water heat exchanger respectively; In the above-mentioned S22 are respectively the maximum and minimum output powers of the coal-fired boiler in the CCHP system, the maximum and minimum output powers of the steam turbine, and the maximum and minimum output powers of the CSP steam generator, are respectively the maximum upward and downward ramp rates of the coal-fired boiler in the CCHP system and the maximum upward and downward ramp rates of the CSP steam generator, are respectively the maximum and minimum coefficients for providing regenerative heat by the regenerative module, Cm s and are respectively the slope and zero point of the minimum condensing operating condition line of the CCHP system, is the heat dissipation coefficient of the heat storage system, is the power stored in the heat storage device, are respectively the maximum single charge amount, the maximum single discharge amount, the upper limit and the lower limit of the heat energy storage of the heat storage device, are respectively the upper and lower limits of the output power of the absorption chiller in the CCHP system and the upper and lower limits of the output power of the absorption chiller in the CSP system.

9. The optimized scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 1, characterized in that, S3 includes the following steps: S31. The optimal scheduling model of the integrated energy system in the electrolytic aluminum park takes the total operating cost of the park as the objective function: minC total = C fuel + C gridbuy - C gridsell + C WPbuy + C carbon - C CCER + C DR + C storge C carbon = CA buy ·c CA,buy C CCER = ER sell · c ER,sell In the above formula, C total , C fuel , C gridbuy , C gridsell , C WPbuy , C carbon , C CCER , C DR , C storge are respectively the total operating cost of the electrolytic aluminum park, fuel cost, grid power purchase cost, grid power sales revenue, wind power and photovoltaic power purchase cost, carbon emission quota purchase cost, CCER transaction revenue, demand response compensation cost, and electro-thermal energy storage call cost. c coal , c gas , c CA,buy , c ER,sell are respectively the coal price, natural gas price, grid power purchase price, grid power sales price, wind power and photovoltaic power purchase price, carbon emission quota price, and CCER price. c DR,AL , c DR,e , c DR,h , c DR,c are respectively the production series load regulation cost coefficient, other electric load reduction compensation coefficient, heat load reduction compensation coefficient, and cold load reduction compensation coefficient. c TES,storge , c EES,storge are respectively the call costs of unit power thermal energy storage and electrical energy storage; S31. The constraint conditions of the integrated energy system in the electrolytic aluminum park are as follows: 0 ≤ P t pv ≤ P t PV 0 ≤ P t wt ≤ P t WT 0≤P t buy ≤P net,max 0 ≤ P t sell ≤ P net,max P t sell P t buy = 0 P GB,min ≤P t GB ≤P GB,max P EC,c,min ≤P t EC,c ≤P EC,c,max P HP,h,min ≤P t HP,h ≤P HP,h,max 0 ≤ P t EES,get ≤ P EES,get,max 0 ≤ P t EES,reduce ≤ P EES,reduce,max P EES,min ≤P t EES ≤P EES,max P t EES,cha ·P t EES,dis = 0; In the above formula, P t pv and P t wt and P t buy and P t sell and P t EES,get and P t EES,reduce are respectively the output power of the photovoltaic power station, the output power of the wind power station, the electricity quantity purchased from the distribution network via the tie line, the electricity quantity sold to the distribution network, the actual charging amount of the electrical energy storage, and the reduced electricity quantity during the discharge of the electrical energy storage. OP t AL,eload and OP t other,eload and OP t hload and OP t cload are respectively the electrolytic aluminum electrical load power, other electrical load power, thermal load power, and cooling load power after participating in demand response. P t HP,e and P t EC,e are respectively the electrical energy consumed by the heat pump and the electric chiller. η EES,cha and η EES,dis are respectively the charge-discharge efficiency of the electrical energy storage. is the natural gas quantity consumed by the gas boiler. λ gas is the average low calorific value of natural gas. η GB and η EC and η HP are respectively the combustion efficiency of the gas boiler, the efficiency of the electric chiller, and the efficiency of the heat pump. P t PV and P t WT are the predicted power generation of photovoltaic and wind power. P t pv and P t wt and P t buy and P t sell are respectively the actual consumption of photovoltaic and wind power, the values of purchasing electricity from and selling electricity to the distribution network. P net,max is the maximum transmission power of the tie line. P GB ,max and P GB,min and P EC,c,max and P EC,c,min and P HP,h,max and P HP,h,min are respectively the upper and lower limits of the output of the gas boiler, the upper and lower limits of the output of the electric chiller, and the upper and lower limits of the output of the heat pump. R GB,up,max , R GB,down,max are respectively the maximum upward and downward ramp rates of the gas boiler, and η EES,loss is the power dissipation coefficient of the electrical energy storage system, and P t EES is the electrical power stored in the electrical energy storage, and P EES,get,max , P EES,reduce,max , P EES,max , P EES,min are respectively the maximum single charge, the maximum single discharge, the upper limit and the lower limit of the electrical energy storage.

10. The optimized scheduling method for the integrated energy system of an electrolytic aluminum park according to claim 9, characterized in that, The solution is completed by calling the Gurobi solver in Matlab.

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