A method for optimizing the scheduling of an integrated energy system including waste hydrothermal treatment

Abstract

The invention discloses a method for optimizing the scheduling of an integrated energy system including hydrothermal treatment of garbage, comprising: establishing a model and constraint conditions of hydrothermal treatment of a new garbage treatment method; establishing models and constraint conditions of each device of the integrated energy system; establishing an objective function with the output of each device as a decision variable and taking the minimum total operating cost of the system as the goal; and obtaining an optimal result by solving with a solver CPLEX. The invention can achieve the goal of reducing the operating cost of the system, reducing the amount of abandoned wind at night, and improving the efficiency of energy utilization while completing the garbage treatment task.

Description

Technical Field

[0001] The invention relates to a method for optimizing the dispatching of a comprehensive energy system including garbage hydrothermal treatment, and belongs to the technical field of electrical comprehensive operation optimizing the dispatching. Background Art

[0002] At present, most common energy infrastructures such as electricity, natural gas and heat networks are planned and operated independently, which will lead to low energy efficiency, high operating costs and low robustness. Due to the development of microgrids, renewable energy generation, energy storage and combined cooling, heating and power technology, as well as information and communication technology, modern power systems are developing towards integrated energy systems. However, the current integrated energy systems mostly use wind and light as renewable energy, and rarely consider biomass energy.

[0003] The phenomenon of "garbage siege" brought about by social development has become increasingly serious, and the amount of urban domestic waste produced and disposed of has increased year by year. Among them, waste incineration has developed rapidly due to its significant effects of reducing volume, recycling resources and harmlessness. After the implementation of waste classification, the treatment of dry waste is mainly incineration; the treatment of wet waste is mainly anaerobic fermentation, supplemented by aerobic composting.

[0004] However, for wet garbage, which accounts for up to 60%, it is difficult to effectively treat it by anaerobic fermentation alone, and a fast and efficient treatment method is urgently needed. In addition, the purpose of garbage incineration is to complete the garbage disposal task, not to generate electricity and connect to the grid, so it cannot effectively cooperate with the integrated energy system to achieve flexible scheduling, especially at night when wind power output is high and the amount of abandoned wind is increased. How to achieve optimal energy scheduling while completing the garbage disposal task is an urgent problem that needs to be solved. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method for introducing a new garbage disposal method on the basis of the original integrated energy system and coordinating the same with it, so as to achieve the goal of reducing system operating costs, reducing the amount of wind abandoned at night, and improving energy utilization efficiency while completing the garbage disposal task.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] A method for optimizing the scheduling of an integrated energy system including garbage hydrothermal treatment, obtaining a first initial parameter, a second initial parameter and a third initial parameter; based on the first initial parameter, a garbage hydrothermal treatment model is constructed with the daily garbage production and removal, equipment capacity and warehouse storage as constraints; based on the second initial parameter, each equipment model of the integrated energy system is established with power balance, equipment output, equipment ramp, equipment start and stop, energy storage equipment and energy purchase as constraints, wherein each equipment model includes a garbage treatment unit model, a gas turbine model, a gas boiler model, an absorption chiller model, an electric chiller model, a power-to-gas equipment model and an energy storage device model; based on the third initial parameter, the total system operating cost is minimized as the goal, and the output of each equipment is used as a decision variable to establish an objective function, and optimization scheduling is performed according to the equipment models and the objective function to obtain the optimal result;

[0008] The first initial parameters include wet garbage solid content, hydrothermal reaction conversion rate, power consumption of hydrothermal reaction auxiliary equipment for solid garbage processing unit, heat consumption of hydrothermal reaction reactor for solid garbage processing unit, heat consumption of hydrothermal reaction drying for solid garbage processing unit, electrothermal conversion coefficient of reactor, number of people, daily wet garbage production per capita, daily dry garbage production per capita, incinerator capacity, reactor capacity, and warehouse capacity;

[0009] The second initial parameters include hydrothermal coke calorific value, dry garbage calorific value, incinerator thermal efficiency, steam turbine power generation efficiency, steam turbine heating efficiency, garbage unit plant power consumption, gas turbine power generation efficiency, gas turbine heating efficiency, gas boiler heating efficiency, absorption refrigerator refrigeration coefficient, electric refrigerator refrigeration coefficient, power-to-gas efficiency, methane calorific value, energy storage equipment self-loss coefficient, energy storage equipment charging efficiency, energy storage equipment discharge efficiency, time step, user power load, user heat load, user cold load, wind power predicted output, photovoltaic predicted output, upper and lower limits of each device output, upper and lower limits of each device climbing, minimum start and stop time of each device, maximum charge and discharge amount of energy storage equipment, energy storage equipment capacity, maximum power purchase at each moment, and maximum gas purchase at each moment;

[0010] The third initial parameters include the electricity purchase price, gas purchase price, carbon dioxide purchase price, maintenance cost of each equipment, start-up and shutdown cost of each equipment, carbon tax, penalty cost for wind abandonment, penalty cost for solar abandonment, maintenance cost of dry garbage processing unit, maintenance cost of wet garbage processing unit, dry garbage filtrate generation rate, unit filtrate processing cost, wet garbage oil content, grease recovery rate, and oil selling price.

[0011] A further improvement of the technical solution of the present invention is that the model and constraint conditions of the hydrothermal treatment are:

[0012] The hydrothermal treatment model is:

[0013]

[0014] Among them, m wet (t), m HTC (t), m char (t), m s (t) are the amount of wet garbage processed at time t, the amount of hydrothermal coke generated by hydrothermal reaction, the amount of hydrothermal coke incinerated, the amount of warehouse storage, the amount of hydrothermal reaction power consumption, and the amount of hydrothermal reaction heat consumption, respectively. TS is the solid content of wet garbage, η HTC is the hydrothermal coke yield, is the power consumption of auxiliary equipment in hydrothermal reaction, η eh is the thermoelectric conversion coefficient of the reactor, They are the heat consumption of the solid waste reactor and the heat consumption of drying per processing unit.

[0015] The constraints are:

[0016]

[0017] Among them, n p is the number of people, m wet 、m dry They are the daily per capita wet garbage and dry garbage production, is the maximum capacity of the incinerator, is the maximum amount of hydrothermal coke produced in the reactor, is the maximum transfer amount of hot coke in the warehouse at time t, is the maximum capacity of the warehouse, m s (0), m s (T) are the hydrothermal coke reserves in the warehouse at the initial and final moments respectively.

[0018] A further improvement of the technical solution of the present invention is that the equipment models and constraints of the comprehensive energy system are:

[0019] The device models are:

[0020] Garbage disposal unit model:

[0021]

[0022] in, m dry (t) are the input power, output power, output heat, and dry garbage incineration capacity of the garbage treatment unit at time t, respectively. char , LHV dry is the calorific value of hydrothermal coke and dry garbage, η inc is the heating efficiency of the incinerator, are respectively the power generation efficiency and heating efficiency of the steam turbine, wtu To provide electricity for the factory;

[0023] Gas Turbine Model:

[0024]

[0025] Where P gt,in (t), P gt,e (t), P gt,h (t) are the gas input power, output electrical power and output thermal power of the gas turbine at time t, respectively, and η gt,e , η gt,h They are the power generation efficiency and heating efficiency of the gas turbine respectively;

[0026] Gas boiler model:

[0027] P gb,h (t) = η gb P gb,in (t)

[0028] Where P gb,in (t), P gb,h (t) are the gas input power and output heat power of the gas boiler at time t, η gb is the heating efficiency of the gas boiler;

[0029] Absorption Refrigerator Model:

[0030] P ac (t) = COP ac P ac,in (t)

[0031] Among them, P ac,in (t), P ac (t) are the input thermal power and output electrical power of the absorption refrigerator at time t, COP ac is the refrigeration coefficient of the absorption chiller;

[0032] Electric Refrigerator Model:

[0033] P ec (t) = COP ec P ec,in (t)

[0034] Among them, P ec,in (t), P ec (t) are the input power and output cooling power of the refrigerator at time t, COP ec is the cooling coefficient of the electric refrigerator;

[0035] Power-to-gas equipment model:

[0036]

[0037] Among them, P ptg,in(t) are the input power, output power and volume of natural gas generated by the power-to-gas equipment at time t, respectively, ptg is the power-to-gas efficiency, LHV CH4 is the calorific value of methane;

[0038] Energy storage device model:

[0039]

[0040] in, They are the storage energy, charging energy, and releasing energy of the energy storage device at time t, respectively. x is the type of energy, indicating electricity or heat. are the self-damage rate, charging efficiency, and discharging efficiency of the energy storage device, respectively. Δt is the time step, 1h;

[0041] The constraints are:

[0042] Power balance constraints:

[0043]

[0044] Among them, L e (t), L h (t), L c (t), P egrid (t), P ggrid (t), P pv (t), P wt (t) are the user's electric load, user's heat load, user's cooling load, power purchased from the power grid, gas purchased from the gas grid, actual wind power output, and actual photovoltaic power output at time t;

[0045] Equipment output constraints:

[0046]

[0047] in, are the upper and lower limits of gas turbine power generation, They are the upper and lower limits of heating of the gas boiler, are the upper and lower limits of the absorption chiller, are the upper and lower limits of the electric refrigerator, They are the upper and lower limits of the input power of the power-to-gas equipment, They are the predicted wind power output and photovoltaic power output at time t, They are the upper and lower limits of power generation of garbage units respectively;

[0048] Equipment climbing constraints:

[0049]

[0050] Among them, k represents the type of equipment, which means gas turbine, gas boiler, steam turbine, They are the upper and lower climbing limits of the equipment respectively;

[0051] Equipment start and stop constraints:

[0052]

[0053] Among them, k represents the type of equipment, which means gas turbine, gas boiler, steam turbine, α k (t), α k (t-1) represents the start and stop status of the device at time t and time t-1, They represent the continuous on time and continuous off time of the equipment before t-1 respectively. They are the minimum startup time and minimum shutdown time of the device respectively;

[0054] Energy storage equipment model:

[0055]

[0056] Among them, ξ x (t) is the charging and discharging status of the energy storage device at time t, 1 represents charging, and 0 represents discharging. Indicates the upper limit of the charging and discharging power of the energy storage device. are the upper and lower limits of energy storage for energy storage devices, The inventory of energy storage equipment at the initial and final moments;

[0057] Constraints on purchasing energy:

[0058]

[0059] in, They are the upper limit of electricity purchase and gas purchase at time t respectively.

[0060] A further improvement of the technical solution of the present invention is that: the objective function is:

[0061]

[0062] Among them, C tr , C op , C em , C source , C wtu , C om , C lea , C oil They are energy purchase cost, equipment maintenance cost, carbon dioxide emission cost, wind and solar power abandonment penalty cost, garbage disposal cost, garbage maintenance cost, garbage filtrate treatment cost, and garbage oil sales revenue, αe , α g , are the electricity purchase price, gas purchase price, and carbon dioxide purchase price, δ k is the equipment maintenance cost, ρ k is the equipment start-up and shutdown cost, For carbon tax, is the carbon emissions corresponding to the electricity and gas purchases at time t, is the carbon emission reduction corresponding to the power-to-gas equipment and the waste treatment unit, α wt , α pv Cost of curtailing wind and solar power;

[0063] The cost of waste disposal is:

[0064]

[0065] Among them, ρ om1 , om2 They are the maintenance cost of processing unit dry garbage and the maintenance cost of processing unit wet garbage, respectively. is the filtrate generation rate of dry garbage, ρ lea is the unit filtrate treatment cost, σ oil is the oil content of garbage, η oil is the oil recovery rate, ρ oil For the selling price of oil;

[0066] The carbon emissions are:

[0067]

[0068] in, They are the carbon emission factor per unit of electricity purchased, the carbon emission factor per unit of gas purchased, the carbon emission factor of standard coal, the carbon emission factor of hydrothermal coke, and the carbon emission factor of dry garbage. is the molar volume of methane under standard conditions, is the molar mass of carbon dioxide under standard conditions, LHV stc is the calorific value of standard coal.

[0069] A further improvement of the technical solution of the present invention lies in that the specific method for optimizing scheduling based on the equipment models and objective functions is as follows: from the constructed model and constraints, it can be seen that the constructed optimization scheduling model of the integrated energy system containing garbage hydrothermal treatment contains continuous variables and integer variables, which is a mixed integer linear programming problem. The program is written using the YALMIP modeling toolkit embedded in the matlab software, and the solver CPLEX is called to solve the model.

[0070] Due to the adoption of the above technical solution, the technical progress achieved by the present invention is:

[0071] The present invention proposes a method for optimizing the scheduling of an integrated energy system including hydrothermal treatment of garbage, introduces hydrothermal treatment as a garbage treatment method and performs modeling; considers garbage treatment into the integrated energy system, determines its operation mode, and establishes models for other equipment in the system; establishes an objective function with the minimum system operation cost; and solves it with the CPLEX solver; the present invention can effectively treat wet garbage while achieving load peak shaving and valley filling, and is beneficial to wind power consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a flow chart of a method for optimizing scheduling of an integrated energy system including hydrothermal treatment of garbage according to an embodiment of the present invention;

[0073] Figure 2 This is the hydrothermal treatment process of an embodiment of the present invention;

[0074] Figure 3 This is a block diagram of a comprehensive energy system including waste hydrothermal treatment according to an embodiment of the present invention;

[0075] Figure 4 A flowchart for optimizing the solution of an embodiment of the present invention;

[0076] Figure 5 The invention provides an optimized scheduling system for an integrated energy system including garbage hydrothermal treatment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0077] 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.

[0078] 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.

[0079] HTC: Hydrothermal carbonization is a type of hydrothermal treatment, which refers to the conversion of organic matter such as lignin, cellulose, hemicellulose, protein, etc. into solid-phase hydrothermal char at 180-260℃.

[0080] Hydrothermal coke: The solid product of hydrothermal treatment has a calorific value similar to that of lignite and is easy to transport and store.

[0081] Carbon reduction effect of garbage: Without proper treatment, garbage will be decomposed by fungi into methane and carbon dioxide and released into the atmosphere, which will not only fail to utilize energy but also generate carbon emissions. However, garbage burning can reduce the burning of fossil fuels while recovering some energy. Therefore, as long as the equivalent carbon emissions of garbage power generation exceed the actual carbon emissions of the treatment process, it will produce a carbon reduction effect.

[0082] The optimal scheduling method for the integrated energy system including waste hydrothermal treatment in this example is as follows.

[0083] Figure 1 This is a flow chart of the method for optimizing the scheduling of an integrated energy system including waste hydrothermal treatment according to an embodiment of the present invention. Figure 1 , the method for optimizing the scheduling of an integrated energy system including waste hydrothermal treatment in an embodiment comprises:

[0084] Step L1: Obtain the first initial parameter, the second initial parameter, and the third initial parameter.

[0085] The first initial parameters include wet garbage solid content, hydrothermal reaction conversion rate, power consumption of hydrothermal reaction auxiliary equipment for solid garbage processing unit, heat consumption of hydrothermal reaction reactor for solid garbage processing unit, heat consumption of hydrothermal reaction drying for solid garbage processing unit, electrothermal conversion coefficient of reactor, number of people, daily wet garbage production per capita, daily dry garbage production per capita, incinerator capacity, reactor capacity, and warehouse capacity;

[0086] The second initial parameters include hydrothermal coke calorific value, dry garbage calorific value, incinerator thermal efficiency, steam turbine power generation efficiency, steam turbine heating efficiency, garbage unit plant power consumption, gas turbine power generation efficiency, gas turbine heating efficiency, gas boiler heating efficiency, absorption refrigerator refrigeration coefficient, electric refrigerator refrigeration coefficient, power-to-gas efficiency, methane calorific value, energy storage equipment self-loss coefficient, energy storage equipment charging efficiency, energy storage equipment discharge efficiency, time step, user power load, user heat load, user cold load, wind power predicted output, photovoltaic predicted output, upper and lower limits of each device output, upper and lower limits of each device climbing, minimum start and stop time of each device, maximum charge and discharge amount of energy storage equipment, energy storage equipment capacity, maximum power purchase at each moment, and maximum gas purchase at each moment;

[0087] The third initial parameters include the electricity purchase price, gas purchase price, carbon dioxide purchase price, maintenance cost of each device, start-up and shutdown cost of each device, carbon tax, wind abandonment penalty cost, solar abandonment penalty cost, unit dry garbage maintenance cost, unit wet garbage maintenance cost, dry garbage filtrate generation rate, unit filtrate treatment cost, wet garbage oil content, grease recovery rate, and oil selling price;

[0088] Step L2: Establish a hydrothermal treatment model based on the first initial parameters obtained in step L1. Figure 2 As shown, specifically including:

[0089] Hydrothermal treatment steps: wet garbage is stirred and pumped into the reactor, where it is converted into hydrothermal coke after reacting at 200°C for 60 minutes. After being separated by the separator, the hydrothermal coke needs to be dried to meet the combustion requirements, so that its moisture content is reduced to below 13%. To meet the needs of storage and transportation, the hydrothermal coke is shaped by a granulator to enhance its compressive strength, and then stored in a warehouse for standby use. The process water separated by the separator contains a lot of organic acids. Most of the process water can be recycled to increase the yield of hydrothermal coke, and a small part of the process water is treated and discharged in compliance with the standards.

[0090] Hydrothermal treatment model for wet garbage conversion into hydrothermal char:

[0091]

[0092] Among them, m wet (t), m HTC (t) are the amount of wet garbage processed at time t, the amount of hydrothermal coke generated by the hydrothermal reaction, the power consumption of the hydrothermal reaction, and the heat consumption of the hydrothermal reaction, respectively. TS is the solid content of wet garbage, η HTC is the hydrothermal coke yield, is the power consumption of auxiliary equipment in hydrothermal reaction, η eh is the thermoelectric conversion coefficient of the reactor, They are the heat consumption of the solid waste reactor and the heat consumption of drying per processing unit.

[0093] The modeling of warehouses is different from that of energy storage devices, as they can be charged and discharged simultaneously without loss:

[0094] m s (t) = m s (t-1)+m HTC (t)-m char (t)

[0095] Among them, m s (t), m char (t) are the storage volume in the warehouse and the amount of hydrothermal coke burned at time t, m s (t-1) represents the warehouse storage quantity at time t-1.

[0096] Constraints include daily garbage production and clearance constraints, equipment capacity constraints, and warehouse storage constraints:

[0097] Restrictions on daily garbage collection and disposal:

[0098]

[0099] Among them, n p is the number of people, m wet 、m dryThey are the daily per capita wet garbage and dry garbage production respectively.

[0100] Equipment capacity constraints:

[0101]

[0102] in, The maximum capacity of the incinerator.

[0103] Warehouse storage constraints:

[0104]

[0105] in, is the maximum amount of hydrothermal coke produced in the reactor, is the maximum transfer amount of hot coke in the warehouse at time t, is the maximum capacity of the warehouse, m s (0), m s (T) are the hydrothermal coke reserves in the warehouse at the initial and final moments respectively.

[0106] Step L3: Establish the equipment models of the integrated energy system according to the second initial parameters obtained in step L1. The block diagram of the integrated energy system including waste hydrothermal treatment is as follows: Figure 3 As shown, specifically including:

[0107] Operation mechanism: The system adopts time-of-use electricity prices and fixed gas prices; the hydrothermal treatment process is short in time and consumes a lot of electricity. During the electricity consumption valley, wet garbage is converted into hydrothermal coke through hydrothermal treatment and stored in the warehouse. During normal and peak hours, the power generation power of the garbage treatment unit is controlled by adjusting the combustion ratio of dry garbage and hydrothermal coke, which can not only achieve peak shaving and valley filling, but also improve the flexibility of system scheduling; the gas turbine converts natural gas into electricity and heat energy when the electricity price is high, reducing the amount of electricity purchased during peak electricity consumption and saving costs; the gas boiler converts natural gas into heat energy when the gas turbine is insufficient to provide heat, realizing thermal-electric decoupling; the power-to-gas equipment converts abandoned wind and solar power into natural gas and transports it to the natural gas pipeline, improving energy utilization; the absorption chiller can convert excess heat energy during the day into cold energy to meet the cooling load; the electric chiller can convert low-priced electricity at night into cold energy, and cooperate with the absorption chiller to further improve energy utilization; the energy storage equipment is charged during normal or valley hours, and released during peak hours to relieve the pressure on the power grid and gas network.

[0108] The equipment models include garbage disposal unit, gas turbine, gas boiler, absorption chiller, electric chiller, power-to-gas equipment, and energy storage device:

[0109] Garbage disposal unit model:

[0110]

[0111] in, mdry (t) are the input power, output power, output heat, and dry garbage incineration capacity of the garbage treatment unit at time t, respectively. char , LHV dry is the calorific value of hydrothermal coke and dry garbage, η inc is the heating efficiency of the incinerator, are respectively the power generation efficiency and heating efficiency of the steam turbine, wtu To provide electricity for the factory.

[0112] Gas Turbine Model:

[0113]

[0114] Where P gt,in (t), P gt,e (t), P gt,h (t) are the gas input power, output electrical power and output thermal power of the gas turbine at time t, respectively, and η gt,e , η gt,h They are the power generation efficiency and heat generation efficiency of the gas turbine respectively.

[0115] Gas boiler model:

[0116] P gb,h (t) = η gb P gb,in (t)

[0117] Where P gb,in (t), P gb,h (t) are the gas input power and output heat power of the gas boiler at time t, η gb It is the heating efficiency of gas boiler.

[0118] Absorption Refrigerator Model:

[0119] P ac (t) = COP ac P ac,in (t)

[0120] Among them, P ac,in (t), P ac (t) are the input thermal power and output electrical power of the absorption refrigerator at time t, COP ac is the refrigeration coefficient of the absorption chiller.

[0121] Electric Refrigerator Model:

[0122] P ec (t) = COP ec P ec,in (t)

[0123] Among them, P ec,in(t), P ec (t) are the input power and output cooling power of the refrigerator at time t, COP ec is the cooling coefficient of the electric refrigerator.

[0124] Power-to-gas equipment model:

[0125]

[0126] Among them, P ptg,in (t) are the input power, output power and volume of natural gas generated by the power-to-gas equipment at time t, respectively, ptg is the power-to-gas efficiency, is the calorific value of methane.

[0127] Energy storage device model:

[0128]

[0129] in, They are the storage energy, charging energy, and releasing energy of the energy storage device at time t, respectively. x is the type of energy, indicating electricity or heat. They are the self-damage rate, charging efficiency and discharging efficiency of the energy storage equipment respectively. Δt is the time step, 1h.

[0130] Constraints include power balance constraints, equipment output constraints, equipment climbing constraints, equipment start and stop constraints, energy storage equipment constraints, and energy purchase constraints:

[0131] Power balance constraints include electrical balance, thermal balance, cold balance, and gas balance:

[0132]

[0133] Among them, L e (t), L h (t), L c (t), P egrid (t), P ggrid (t), P pv (t), P wt (t) are the user’s electric load, thermal load, cooling load, power purchased from the grid, gas purchased from the gas grid, actual wind power output, and actual photovoltaic power output at time t.

[0134] Equipment output constraints:

[0135]

[0136] in, are the upper and lower limits of gas turbine power generation, They are the upper and lower limits of heating of the gas boiler, are the upper and lower limits of the absorption chiller, are the upper and lower limits of the electric refrigerator, They are the upper and lower limits of the input power of the power-to-gas equipment, They are the predicted wind power output and photovoltaic power output at time t, They are the upper and lower limits of garbage unit power generation respectively.

[0137] Equipment climbing constraints:

[0138]

[0139] Among them, k represents the type of equipment, which means gas turbine, gas boiler, steam turbine, They are the upper and lower climbing limits of the equipment respectively.

[0140] Equipment start and stop constraints:

[0141]

[0142] Among them, k represents the type of equipment, which means gas turbine, gas boiler, steam turbine, α k (t), α k (t-1) represents the start and stop status of the device at time t and time t-1, They represent the continuous on time and continuous off time of the equipment before t-1 respectively. They are the minimum startup time and minimum shutdown time of the device respectively.

[0143] Energy storage equipment constraints:

[0144]

[0145] Among them, ξ x (t) is the charging and discharging status of the energy storage device at time t, 1 represents charging, and 0 represents discharging. Indicates the upper limit of the charging and discharging power of the energy storage device. are the upper and lower limits of energy storage for energy storage devices, It is the stock of energy storage equipment at the initial and final moments.

[0146] Constraints on purchasing energy:

[0147]

[0148] in, They are the upper limit of electricity purchase and gas purchase at time t respectively.

[0149] Step L4: Based on the third initial parameter obtained in L1 and the equipment model established in L3, the optimization model is constructed with the minimum total system operating cost as the objective function and the output of each equipment as the decision variable, including:

[0150] The total operating cost of the system includes energy purchase cost, maintenance cost, carbon emission cost, wind and solar power abandonment cost and waste disposal cost.

[0151] minC=C tr +C op +C em +C source +C wtu

[0152] Among them, C tr , C op , C em , C source , C wtu They are energy purchase cost, equipment maintenance cost, carbon dioxide emission cost, wind and solar power abandonment penalty cost, and waste disposal cost, and their expressions are as follows:

[0153]

[0154] Among them, α e , α g , are the electricity purchase price, gas purchase price, and carbon dioxide purchase price, δ k is the equipment maintenance cost, ρ k is the equipment start-up and shutdown cost, For carbon tax, is the carbon emissions corresponding to the electricity and gas purchases at time t, is the carbon emission reduction corresponding to the power-to-gas equipment and the waste treatment unit, α wt , α pv is the cost of wind and solar power abandonment, C om , C lea , C oil They are garbage maintenance cost, garbage filtrate treatment cost, and garbage oil sales revenue.

[0155] The specific costs of garbage disposal are:

[0156]

[0157] Among them, ρ om1 , om2 They are the maintenance cost of processing unit dry garbage and the maintenance cost of processing unit wet garbage, respectively. is the filtrate generation rate of dry garbage, ρ lea is the unit filtrate treatment cost, σ oil is the oil content of garbage, η oilis the oil recovery rate, ρ oil For the selling price of oil.

[0158] The carbon emissions are:

[0159]

[0160] in, They are the carbon emission factor per unit of electricity purchased, the carbon emission factor per unit of gas purchased, the carbon emission factor of standard coal, the carbon emission factor of hydrothermal coke, and the carbon emission factor of dry garbage. is the molar volume of methane under standard conditions, is the molar mass of carbon dioxide under standard conditions, LHV stc is the calorific value of standard coal.

[0161] Step L5: From the established model and constraints, it can be seen that the optimized scheduling model of the integrated energy system including waste hydrothermal treatment contains continuous variables and integer variables. It is a mixed integer linear programming problem. The YALMIP modeling toolkit embedded in the matlab software can be used to write a program and call the CPLEX solver to solve the model. The specific solution flow chart is as follows: Figure 4 shown.

[0162] The method for optimizing the scheduling of the comprehensive energy system including waste hydrothermal treatment in this embodiment has the following advantages:

[0163] Most current technologies study the interactive relationship between integrated energy systems and wind and solar power, mainly considering the absorption of wind and solar power by power-to-gas equipment and energy storage equipment. The electrical conversion relationship can reduce the amount of wind and solar power curtailment and minimize system operating costs.

[0164] This embodiment analyzes garbage resources that are rarely considered in the integrated energy system. Compared with the existing research on incineration power generation, pyrolysis gas production, and anaerobic fermentation, incineration power generation mainly takes garbage treatment as the main task and cannot be flexibly scheduled; pyrolysis gas production has high requirements for the type of garbage and is not suitable for treating wet garbage with high moisture content; anaerobic fermentation has high requirements for reaction conditions and a long processing time. Hydrothermal treatment has no requirements for moisture content, a short reaction time, and good product performance.

[0165] At night, the combination of power-to-gas equipment and energy storage equipment can effectively reduce wind curtailment, and during the day, adjusting the combustion ratio of hydrothermal coke and dry garbage can reduce the amount of electricity purchased from the power grid. Therefore, the optimization scheduling method of the integrated energy system including garbage hydrothermal treatment can achieve efficient energy utilization and economic operation of the system while meeting the needs of garbage treatment.

[0166] like Figure 5 As shown, the present invention also provides an optimization scheduling system for a comprehensive energy system including garbage hydrothermal treatment, specifically comprising:

[0167] The parameter acquisition module 501 is used to acquire the first initial parameter, the second initial parameter, and the third initial parameter;

[0168] A hydrothermal treatment model building module 502 is used to build a garbage hydrothermal treatment model based on the first initial parameters and taking garbage daily production and disposal, equipment capacity, and warehouse storage as constraints;

[0169] The module 503 for constructing models of various equipment in the integrated energy system is used to construct models of various equipment based on the second initial parameters and with power balance, equipment output, equipment ramping, equipment start and stop, energy storage equipment, and energy purchase as constraints;

[0170] An objective function determination module 504 is used to construct an objective function based on the third initial parameter, taking energy purchase cost, equipment maintenance cost, carbon dioxide emission cost, wind and solar power abandonment penalty cost, and waste disposal cost as the total operating cost;

[0171] The solution module 505 constructs an optimization scheduling model for an integrated energy system including waste hydrothermal treatment, which includes continuous variables and integer variables and is a mixed integer linear programming problem. The YALMIP modeling toolkit embedded in the matlab software can be used to write a program and the CPLEX solver can be called to solve the model.

[0172] The scheduling result determination module 506 is used to determine the optimal scheduling result.

[0173] As for the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0174] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and 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 method for optimizing the scheduling of an integrated energy system including waste hydrothermal treatment, characterized in that: Obtain the first initial parameter, the second initial parameter and the third initial parameter; based on the first initial parameter, construct a garbage hydrothermal treatment model with the daily garbage production and clearance, equipment capacity and warehouse storage as constraints; based on the second initial parameter, establish various equipment models of the comprehensive energy system with power balance, equipment output, equipment ramp, equipment start and stop, energy storage equipment and energy purchase as constraints, wherein each equipment model includes a garbage treatment unit model, a gas turbine model, a gas boiler model, an absorption chiller model, an electric chiller model, a power-to-gas equipment model and an energy storage device model; based on the third initial parameter, take the minimum total system operating cost as the goal, take the output of each equipment as the decision variable to establish an objective function, perform optimization scheduling based on the equipment models and the objective function, and obtain the optimal result; The first initial parameters include wet garbage solid content, hydrothermal reaction conversion rate, power consumption of hydrothermal reaction auxiliary equipment for solid garbage processing unit, heat consumption of hydrothermal reaction reactor for solid garbage processing unit, heat consumption of hydrothermal reaction drying for solid garbage processing unit, electrothermal conversion coefficient of reactor, number of people, daily wet garbage production per capita, daily dry garbage production per capita, incinerator capacity, reactor capacity, and warehouse capacity; The second initial parameters include hydrothermal coke calorific value, dry garbage calorific value, incinerator thermal efficiency, steam turbine power generation efficiency, steam turbine heating efficiency, garbage unit plant power consumption, gas turbine power generation efficiency, gas turbine heating efficiency, gas boiler heating efficiency, absorption refrigerator refrigeration coefficient, electric refrigerator refrigeration coefficient, power-to-gas efficiency, methane calorific value, energy storage equipment self-loss coefficient, energy storage equipment charging efficiency, energy storage equipment discharge efficiency, time step, user power load, user heat load, user cold load, wind power predicted output, photovoltaic predicted output, upper and lower limits of each device output, upper and lower limits of each device climbing, minimum start and stop time of each device, maximum charge and discharge amount of energy storage equipment, energy storage equipment capacity, maximum power purchase at each moment, and maximum gas purchase at each moment; The third initial parameters include the electricity purchase price, gas purchase price, carbon dioxide purchase price, maintenance cost of each equipment, start-up and shutdown cost of each equipment, carbon tax, penalty cost for wind abandonment, penalty cost for solar abandonment, maintenance cost of dry garbage processing unit, maintenance cost of wet garbage processing unit, dry garbage filtrate generation rate, unit filtrate processing cost, wet garbage oil content, grease recovery rate, and oil selling price.

2. The method for optimizing the scheduling of an integrated energy system containing waste hydrothermal treatment according to claim 1, characterized in that: The model and constraints of the hydrothermal treatment are: The hydrothermal treatment model is: Among them, m wet (t), m HTC (t), m char (t), m s (t) are the amount of wet garbage processed at time t, the amount of hydrothermal coke generated by hydrothermal reaction, the amount of hydrothermal coke incinerated, the amount of warehouse storage, the amount of hydrothermal reaction power consumption, and the amount of hydrothermal reaction heat consumption, respectively. TS is the solid content of wet garbage, η HTC is the hydrothermal coke yield, is the power consumption of auxiliary equipment in hydrothermal reaction, η eh is the thermoelectric conversion coefficient of the reactor, They are the heat consumption of the solid waste reactor and the heat consumption of drying in the treatment unit; The constraints are: Among them, n p is the number of people, m wet 、m dry They are the daily per capita wet garbage and dry garbage production, is the maximum capacity of the incinerator, is the maximum amount of hydrothermal coke produced in the reactor, is the maximum transfer amount of hot coke in the warehouse at time t, is the maximum capacity of the warehouse, m s (0), m s (T) are the hydrothermal coke reserves in the warehouse at the initial and final moments respectively.

3. The method for optimizing the scheduling of an integrated energy system containing waste hydrothermal treatment according to claim 2, characterized in that: The equipment models and constraints of the comprehensive energy system are as follows: The device models are: Garbage disposal unit model: in, m dry (t) are the input power, output power, output heat, and dry garbage incineration capacity of the garbage treatment unit at time t, respectively. char , LHV dry is the calorific value of hydrothermal coke and dry garbage, η inc is the heating efficiency of the incinerator, are respectively the power generation efficiency and heating efficiency of the steam turbine, wtu To provide electricity for the factory; Gas Turbine Model: Where P gt,in (t), P gt,e (t), P gt,h (t) are the gas input power, output electrical power and output thermal power of the gas turbine at time t, respectively, and η gt,e , η gt,h They are the power generation efficiency and heating efficiency of the gas turbine respectively; Gas boiler model: P gb,h (t)=η gb P gb,in (t) Where P gb,in (t), P gb,h (t) are the gas input power and output heat power of the gas boiler at time t, η gb is the heating efficiency of the gas boiler; Absorption Refrigerator Model: P ac (t)=COP ac P ac,in (t) Among them, P ac,in (t), P ac (t) are the input thermal power and output electrical power of the absorption refrigerator at time t, COP ac is the refrigeration coefficient of the absorption chiller; Electric Refrigerator Model: P ec (t)=COP ec P ec,in (t) Among them, P ec,in (t), P ec (t) are the input power and output cooling power of the refrigerator at time t, COP ec is the cooling coefficient of the electric refrigerator; Power-to-gas equipment model: Among them, P ptg,in (t) are the input power, output power and volume of natural gas generated by the power-to-gas equipment at time t, respectively, ptg is the power-to-gas efficiency, is the calorific value of methane; Energy storage device model: in, They are the storage energy, charging energy, and releasing energy of the energy storage device at time t, respectively. x is the type of energy, indicating electricity or heat. are the self-damage rate, charging efficiency, and discharging efficiency of the energy storage device, respectively. Δt is the time step, 1h; The constraints are: Power balance constraints: Among them, L e (t), L h (t), L c (t), P egrid (t), P ggrid (t), P pv (t), P wt (t) are the user's electric load, user's heat load, user's cooling load, power purchased from the power grid, gas purchased from the gas grid, actual wind power output, and actual photovoltaic power output at time t; Equipment output constraints: in, are the upper and lower limits of gas turbine power generation, They are the upper and lower limits of heating of the gas boiler, are the upper and lower limits of the absorption chiller, are the upper and lower limits of the electric refrigerator, They are the upper and lower limits of the input power of the power-to-gas equipment, They are the predicted wind power output and photovoltaic power output at time t, They are the upper and lower limits of power generation of garbage units respectively; Equipment climbing constraints: Among them, k represents the type of equipment, which means gas turbine, gas boiler, steam turbine, They are the upper and lower climbing limits of the equipment respectively; Equipment start and stop constraints: Among them, k represents the type of equipment, which means gas turbine, gas boiler, steam turbine, α k (t), α k (t-1) represents the start and stop status of the device at time t and time t-1, They represent the continuous on time and continuous off time of the equipment before t-1 respectively. They are the minimum startup time and minimum shutdown time of the device respectively; Energy storage equipment model: Among them, ξ x (t) is the charging and discharging status of the energy storage device at time t, 1 represents charging, and 0 represents discharging. Indicates the upper limit of the charging and discharging power of the energy storage device. are the upper and lower limits of energy storage for energy storage devices, The inventory of energy storage equipment at the initial and final moments; Constraints on purchasing energy: in, They are the upper limit of electricity purchase and gas purchase at time t respectively.

4. The method for optimizing the scheduling of an integrated energy system containing waste hydrothermal treatment according to claim 3, characterized in that: The objective function is: Among them, C tr , C op , C em , C source , C wtu , C om , C lea , C oil They are energy purchase cost, equipment maintenance cost, carbon dioxide emission cost, wind and solar power abandonment penalty cost, garbage disposal cost, garbage maintenance cost, garbage filtrate treatment cost, and garbage oil sales revenue, α e , α g , are the electricity purchase price, gas purchase price, and carbon dioxide purchase price, δ k is the equipment maintenance cost, ρ k is the equipment start-up and shutdown cost, For carbon tax, is the carbon emissions corresponding to the electricity and gas purchases at time t, is the carbon emission reduction corresponding to the power-to-gas equipment and the waste treatment unit, α wt , α pv Cost of curtailing wind and solar power; The cost of waste disposal is: Among them, ρ om1 , om2 They are the maintenance cost of processing unit dry garbage and the maintenance cost of processing unit wet garbage, respectively. is the filtrate generation rate of dry garbage, ρ lea is the unit filtrate treatment cost, σ oil is the oil content of garbage, η oil is the oil recovery rate, ρ oil For the selling price of oil; Carbon emissions are: in, They are the carbon emission factor per unit of electricity purchased, the carbon emission factor per unit of gas purchased, the carbon emission factor of standard coal, the carbon emission factor of hydrothermal coke, and the carbon emission factor of dry garbage. is the molar volume of methane under standard conditions, is the molar mass of carbon dioxide under standard conditions, LHV stc It is the calorific value of standard coal.

5. The method for optimizing the scheduling of an integrated energy system containing hydrothermal treatment of garbage according to claim 4, characterized in that: The specific method for optimizing scheduling based on the equipment models and objective functions is as follows: from the constructed model and constraints, it can be seen that the constructed optimization scheduling model of the integrated energy system containing garbage hydrothermal treatment contains continuous variables and integer variables, which is a mixed integer linear programming problem. The program is written using the YALMIP modeling toolkit embedded in the matlab software, and the solver CPLEX is called to solve the model.

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