CN110889600A - Regional comprehensive energy system optimization scheduling method considering flexible thermal load - Google Patents

Abstract

An optimal scheduling method for a regional integrated energy system considering flexible heat load. The method first obtains the basic data of the regional integrated energy system to be optimized, and builds a flexible heat load model considering the user's work and rest rules based on the obtained basic data, and then based on the above model. Establish a day-ahead optimal scheduling model for the regional integrated energy system with the minimum energy cost as the objective function and the constraints of electric power balance, thermal power balance, and energy storage device energy storage constraints, and then solve the optimal scheduling model to obtain the optimized The input and output of various equipment in the regional comprehensive energy system, the user's indoor temperature change curve, and finally the various equipment is scheduled according to the above optimization scheme. This design not only effectively realizes the coordinated scheduling of electricity and heat, and improves the flexibility of system operation, but also satisfies the diverse energy demand of users and reduces the cost of system operation.

Description

An optimal scheduling method for regional integrated energy systems considering flexible thermal loads

technical field

The invention belongs to the field of operation optimization of an integrated energy system in a power system, and in particular relates to an optimal scheduling method for a regional integrated energy system considering flexible thermal loads.

Background technique

Energy is an important foundation for economic and social development. With the large-scale consumption of fossil fuels, the energy and environmental crisis is getting worse day by day. As the main energy and power, electric energy has the advantages of easy generation, convenient transmission, convenient use, high utilization rate, and low pollution. It is imperative to build a comprehensive energy system with electricity as the core. At present, in the energy supply system composed of power system, thermal energy system and gas system, the methods of planning, designing and running independently are mostly adopted. When problems occur, they are only solved in each system independently, which lacks systematicness and coordination. Through the construction of an integrated energy distribution system, the existing independent planning and energy independent operation mode will be broken, and the goals of clean, efficient and reliable will be achieved from the level of the total energy supply of the whole society in an organic and coordinated manner in all stages of planning, operation and construction.

The problem of regional integrated energy system operation optimization has always been highly concerned by scholars at home and abroad. Considering the needs of users for various types of energy, the equipment types of regional integrated energy systems are diverse, and the operation strategies are not unique. The mismatch between the thermoelectric ratio of the source side and the thermoelectric ratio of the source side has always been an important factor restricting the efficient operation of the system. At present, in economic dispatch, energy storage equipment is mainly used to adjust the mismatch of thermoelectric ratio between source and load. The complementary characteristics of multiple energy sources are not fully utilized, and the flexibility of system operation cannot be effectively improved.

SUMMARY OF THE INVENTION

The purpose of the present invention is to address the above-mentioned problems in the prior art, and to provide a regional comprehensive system that considers the effect of flexible heat load on alleviating the mismatch of the thermoelectric ratio between sources and loads, and can effectively improve the flexibility of system operation and reduce the cost of system patrolling. Energy system optimization scheduling method.

For achieving the above purpose, the technical scheme of the present invention is as follows: less,

An optimal scheduling method for a regional integrated energy system considering flexible heat loads, which sequentially includes the following steps:

Step A, obtaining the basic data of the regional comprehensive energy system to be optimized;

Step B. Based on the obtained basic data, construct the following flexible heat load model considering the user's work and rest law:

In the above formula, T _in (t) and T _out (t) are the indoor and outdoor temperatures of the user in the t period, respectively, R is the thermal resistance of the house, C _air is the specific heat capacity of the air, and H(t) is the user's heat in the t period. power;

Step C. Based on the above model, establish a day-ahead optimal dispatch model of the regional integrated energy system considering flexible heat load;

Step D, solve the optimal scheduling model obtained in step C, and obtain the input and output of various equipment in the optimized regional integrated energy system, and the user's indoor temperature change curve;

In step E, various types of equipment are scheduled according to the above optimization scheme.

In step C, the objective function of the optimal scheduling model is:

In the above formula, T is the total dispatch time, price _elec,t is the price of electricity purchased or sold to the grid at time t, P _ex,t is the interactive power between the system and the distribution system at time t, and price _ng is the purchase price. The unit calorific value price of electric natural gas, P _ng-gt,,t and P _ng-gb,t are the gas power consumed by the gas turbine and gas boiler in the t period, respectively, and Δt is the unit dispatch time.

The constraints of the objective function include:

Electric power balance constraints:

P _load,t =P _ex,t +P _gt,t -P _hp,t -Q ₊ (t)+Q _- (t)

In the above formula, P _load,t is the net electric load demand in the t period, P _gt,t is the electric power of the gas turbine in the t period, P _hp,t is the electric power consumed by the heat pump in the t period, Q ₊ (t), Q _- ( t) are the charging and discharging power of the electric energy storage device in the period t respectively;

Thermal power balance constraints:

In the above formula, H _load,t is the heat load demand in the t period, Q _gt,t is the thermal power of the gas turbine in the t period, Q _gb,t is the thermal power of the gas boiler in the t period, and Q _hp,t is the heat pump in the t period. Heat power, H ₊ (t), H _- (t) are the heat absorption and heat release power of the thermal energy storage device in the t period, H _{water, t} is the hot water load demand, and N _c is the number of heating households in the system;

Energy storage device energy storage constraints:

In the above formula, E _EES (t) is the capacity of the electric energy storage device in the t period, τ is the self-discharge rate of the electric energy storage device, A ₊ and A _- are the charging and discharging efficiencies of the electric energy storage device, respectively, H _ES ( t) is the capacity of the thermal energy storage device in the t period, μ is the self-heat release rate of the thermal energy storage device, and B ₊ and B ₋ are the absorption and heat release efficiencies of the thermal energy storage device, respectively;

Energy storage device charging and discharging power constraints:

In the above formula, δ _1- , δ ₁₊ , δ _2- , and δ ₂₊ are all 0-1 integer variables. When the electric energy storage device is in the discharge state, δ _1- takes 1, and δ ₁₊ takes 0. When When the electric energy storage device is in the charging state, δ _1- takes 0, and δ ₁₊ takes 1. When the thermal energy storage device is in the exothermic state, δ _2- takes 1, and δ ₂₊ takes 0. In the endothermic state, δ _2- is 0, δ _{2+ is} 1, Q _- ^max and Q ₊ ^max are the maximum discharge power and maximum charging power of the electric energy storage device, respectively, H _- ^max and H ₊ ^max are the thermal storage The maximum exothermic power and the maximum heat absorption power of the energy equipment;

Energy conversion equipment power constraints:

In the above formula, P _gt is the electric power of the gas turbine, η _gt-e is the rated efficiency of natural gas converted into electricity by the gas turbine, P _ng-gt is the power input from the natural gas to the gas turbine, Q _gt is the thermal power of the gas turbine, and η _l is the heat dissipation Loss rate, η _hr is the thermal efficiency of the waste heat recovery device, Q _gb is the thermal power of the gas boiler, η _gb is the efficiency of natural gas converted into heat by the gas boiler, P _ng-gb is the power input from the natural gas to the gas boiler, Q _hp is the heat pump , η _hp is the heating efficiency of the heat pump, and P _hp is the power input from the natural gas to the heat pump;

Distribution network interaction power constraints:

In the above formula, P _ex is the power of the distribution network tie line.

In the step D, Cplex optimization software is used to solve the optimal scheduling model.

In step A, the basic data includes the composition, composition, and equipment parameters of the regional comprehensive energy system to be optimized.

Compared with the prior art, the beneficial effects of the present invention are:

1. An optimal scheduling method for a regional comprehensive energy system considering flexible thermal loads of the present invention first constructs a flexible thermal load model considering the user's work and rest law, and then builds a day-ahead optimal scheduling model for a regional comprehensive energy system considering flexible thermal loads based on the above model, and then Solve the optimal scheduling model, obtain the input and output of various equipment in the optimized regional integrated energy system, and the user's indoor temperature change curve, and finally schedule various equipment according to the optimization plan. The load model not only gives full play to the role of the flexible thermal load in alleviating the mismatch of the thermoelectric ratio between the source and the load, but also effectively improves the flexibility of the system operation, and can meet the diverse energy demands of users. Therefore, the present invention not only effectively improves the flexibility of system operation, but also satisfies the diverse energy consumption demands of users.

2. In the optimal scheduling method for a regional comprehensive energy system considering flexible thermal loads, the optimal scheduling model takes the minimum energy cost as the objective function, and adopts various methods including electrical power balance, thermal power balance, energy storage of energy storage equipment, etc. Constraints, the design not only utilizes the coordination between the thermal energy storage system and the heat pump, decouples the thermoelectric constraints, and realizes the coordinated scheduling of electricity and heat, but also effectively reduces the operating cost of the system. Therefore, the present invention not only realizes the coordinated scheduling of electricity and heat, but also reduces the operating cost of the system.

Description of drawings

FIG. 1 is a schematic structural diagram of a regional comprehensive energy system in an embodiment of the present invention.

FIG. 2 is a schematic diagram of a day-ahead optimal scheduling result of scenario 1 in an embodiment of the present invention.

FIG. 3 is a schematic diagram of a day-ahead optimal scheduling result of scenario 2 in an embodiment of the present invention.

FIG. 4 is a schematic diagram of a day-ahead optimal scheduling result of scenario three in an embodiment of the present invention.

FIG. 5 is a comparison diagram of energy consumption costs in three scenarios in an embodiment of the present invention.

Detailed ways

The present invention will be described in further detail below with reference to the specific embodiments and the accompanying drawings.

An optimal scheduling method for a regional integrated energy system considering flexible heat loads, which sequentially includes the following steps:

Step A, obtaining the basic data of the regional comprehensive energy system to be optimized;

Step B. Based on the obtained basic data, construct the following flexible heat load model considering the user's work and rest law:

In the above formula, T _in (t) and T _out (t) are the indoor and outdoor temperatures of the user in the t period, respectively, R is the thermal resistance of the house, C _air is the specific heat capacity of the air, and H(t) is the user's heat in the t period. power;

Step C. Based on the above model, establish a day-ahead optimal dispatch model of the regional integrated energy system considering flexible heat load;

Step D, solve the optimal scheduling model obtained in step C, and obtain the input and output of various equipment in the optimized regional integrated energy system, and the user's indoor temperature change curve;

In step E, various types of equipment are scheduled according to the above optimization scheme.

In step C, the objective function of the optimal scheduling model is:

In the above formula, T is the total dispatch time, price _elec,t is the price of electricity purchased or sold to the grid at time t, P _ex,t is the interactive power between the system and the distribution system at time t, and price _ng is the purchase price. The unit calorific value price of electric natural gas, P _ng-gt,,t and P _ng-gb,t are the gas power consumed by the gas turbine and gas boiler in the t period, respectively, and Δt is the unit dispatch time.

The constraints of the objective function include:

Electric power balance constraints:

P _load,t =P _ex,t +P _gt,t -P _hp,t -Q ₊ (t)+Q _- (t)

In the above formula, P _load,t is the net electric load demand in the t period, P _gt,t is the electric power of the gas turbine in the t period, P _hp,t is the electric power consumed by the heat pump in the t period, Q ₊ (t), Q _- ( t) are the charging and discharging power of the electric energy storage device in the period t respectively;

Thermal power balance constraints:

In the above formula, H _load,t is the heat load demand in the t period, Q _gt,t is the thermal power of the gas turbine in the t period, Q _gb,t is the thermal power of the gas boiler in the t period, and Q _hp,t is the heat pump in the t period. Heat power, H ₊ (t), H _- (t) are the heat absorption and heat release power of the thermal energy storage device in the t period, H _{water, t} is the hot water load demand, and N _c is the number of heating households in the system;

Energy storage device energy storage constraints:

In the above formula, E _EES (t) is the capacity of the electric energy storage device in the t period, τ is the self-discharge rate of the electric energy storage device, A ₊ and A _- are the charging and discharging efficiencies of the electric energy storage device, respectively, H _ES ( t) is the capacity of the thermal energy storage device in the t period, μ is the self-heat release rate of the thermal energy storage device, and B ₊ and B ₋ are the absorption and heat release efficiencies of the thermal energy storage device, respectively;

Energy storage device charging and discharging power constraints:

In the above formula, δ _1- , δ ₁₊ , δ _2- , and δ ₂₊ are all 0-1 integer variables. When the electric energy storage device is in the discharge state, δ _1- takes 1, and δ ₁₊ takes 0. When When the electric energy storage device is in the charging state, δ _1- takes 0, and δ ₁₊ takes 1. When the thermal energy storage device is in the exothermic state, δ _2- takes 1, and δ ₂₊ takes 0. In the endothermic state, δ _2- is 0, δ _{2+ is} 1, Q _- ^max and Q ₊ ^max are the maximum discharge power and maximum charging power of the electric energy storage device, respectively, H _- ^max and H ₊ ^max are the thermal storage The maximum exothermic power and the maximum heat absorption power of the energy equipment;

Energy conversion equipment power constraints:

In the above formula, P _gt is the electric power of the gas turbine, η _gt-e is the rated efficiency of natural gas converted into electricity by the gas turbine, P _ng-gt is the power input from the natural gas to the gas turbine, Q _gt is the thermal power of the gas turbine, and η _l is the heat dissipation Loss rate, η _hr is the thermal efficiency of the waste heat recovery device, Q _gb is the thermal power of the gas boiler, η _gb is the efficiency of natural gas converted into heat by the gas boiler, P _ng-gb is the power input from the natural gas to the gas boiler, Q _hp is the heat pump , η _hp is the heating efficiency of the heat pump, and P _hp is the power input from the natural gas to the heat pump;

Distribution network interaction power constraints:

In the above formula, P _ex is the power of the distribution network tie line.

In the step D, Cplex optimization software is used to solve the optimal scheduling model.

In step A, the basic data includes the composition, composition, and equipment parameters of the regional comprehensive energy system to be optimized.

The principle of the present invention is described as follows:

The invention provides an optimal scheduling method for a regional comprehensive energy system considering flexible heat loads. The method is based on the user's work and rest law and considers the user's flexible heat load demand to carry out the optimal scheduling of the regional comprehensive energy system. As the objective function, the regional integrated energy system optimization scheduling model with the constraints of electric power balance constraints, thermal power balance constraints, energy storage constraints of energy storage equipment, charging and discharging power constraints of energy storage devices, power constraints of energy conversion equipment, etc. The energy system can simultaneously optimize the output of various equipment and the user's indoor temperature change. Under the premise of ensuring that the diversified energy consumption needs of users are met, it can give full play to the role of flexible heat loads and the coordination and cooperation of thermal energy storage systems and heat pumps. Decoupling thermoelectric constraints realizes coordinated scheduling of electricity and heat, effectively improving the flexibility of the system and reducing system operating costs.

User's indoor temperature change curve: The user's indoor temperature change curve obtained by the present invention can better clarify the user's environment, and adjust the scheduling method based on the user's work and rest law.

Example 1:

An optimal scheduling method for a regional integrated energy system considering flexible thermal loads, which is carried out in sequence according to the following steps:

Step 1. Obtain the basic data of the regional comprehensive energy system to be optimized, including the components, structure, load level of each time period, equipment parameters, and purchase price of electricity and gas in each time period. For the system structure, see Figure 1, other data see Table 1:

Table 1(a) 24h electricity and gas purchase prices

Table 1(b) Total electricity load in each period of 24 hours

Table 1(c) Fan output in each period of 24 hours

Table 1(d) Photovoltaic output in each period of 24 hours

Table 1(e) Net electricity load in each period of 24 hours

Table 1(f) Hot water load in each period of 24 hours

Table 1(g) Equipment parameters

Device parameters Numerical value Gas Turbine Rated Efficiency 0.3 Gas Turbine Heat Loss Rate 0.15 Rated efficiency of waste heat recovery device 0.82 Gas boiler rated efficiency 0.86 Heat Pump Rated Efficiency 2.0 Electric energy storage device charging efficiency 0.9 Electric energy storage device discharge efficiency 0.9 Self-discharge rate of electric energy storage device 0.001 Electric energy storage equipment capacity 1500kWh The maximum charging power of the electric energy storage device 375kW Maximum discharge power of electric energy storage equipment 375kW Thermal energy storage device charging efficiency 0.9 Thermal energy storage device discharge efficiency 0.9 Self-discharge rate of thermal energy storage devices 0.01 Thermal energy storage device capacity 1000kWh Maximum charging power of thermal energy storage device 250kW Maximum discharge power of thermal energy storage device 250kW

Step 2. Based on the obtained basic data, construct the following flexible heat load model considering the user's work and rest law:

In the above formula, T _in (t) and T _out (t) are the indoor and outdoor temperatures of the user in the t period respectively (see Table 2 for the specific values of each period), the unit is °C, and R is the thermal resistance of the house, specifically 18 °C/ kW, C _air is the specific heat capacity of air, specifically 0.525kWh/℃, H(t) is the thermal power of the user in the t period;

Table 2(a) 24h outdoor temperature

Table 2(b) 24h indoor temperature range

period user status Temperature lower limit (℃) Temperature upper limit (℃) 07:00-11:00 no one indoors - - 11:00-13:00 someone indoors 20 twenty four 13:00-17:00 no one indoors - - 17:00-22:00 someone indoors 20 twenty four 22:00-7:00 sleep at night 12 19

Step 3. Based on the above model, establish a day-ahead optimal scheduling model for the regional integrated energy system considering flexible heat loads, wherein the objective function of the optimal scheduling model is:

In the above formula, T is the total dispatch time, price _elec,t is the electricity price for purchasing or selling electricity from the grid in the system t period, in units of yuan/kW h, P _ex,t is the time between the system and the power distribution system at time t. Interactive power, in kW, if P _ex,t > 0, it means that the system purchases electricity from the distribution network to meet the electrical load demand in the system; if P _{ex, t} < 0, it means that the system sells electricity to the distribution network, price _ng is the unit calorific value price of natural gas for power purchase, unit Yuan/kW·h, P _ng-gt,,t and P _ng-gb,t are the gas power consumed by gas turbine and gas boiler in t period, unit kW, Δt is The unit scheduling time is set to 1h.

The constraints of the objective function include:

Electric power balance constraints:

P _load,t =P _ex,t +P _gt,t -P _hp,t -Q ₊ (t)+Q _- (t)

In the above formula, P _load,t is the net electric load demand in the t period, P _gt,t is the electric power of the gas turbine in the t period, P _hp,t is the electric power consumed by the heat pump in the t period, Q ₊ (t), Q _- ( t) are the charging and discharging power of the electric energy storage device in the period t respectively;

Thermal power balance constraints:

In the above formula, H _load,t is the heat load demand in the t period, Q _gt,t is the thermal power of the gas turbine in the t period, Q _gb,t is the thermal power of the gas boiler in the t period, and Q _hp,t is the heat pump in the t period. Heat power, H ₊ (t), H _- (t) are the heat absorption and heat release power of the thermal energy storage device in the t period, H _{water, t} is the hot water load demand, and N _c is the number of heating households in the system;

Energy storage device energy storage constraints:

In the above formula, E _EES (t) is the capacity of the electric energy storage device in the t period, τ is the self-discharge rate of the electric energy storage device, A ₊ and A _- are the charging and discharging efficiencies of the electric energy storage device, respectively, H _ES ( t) is the capacity of the thermal energy storage device in the t period, μ is the self-heat release rate of the thermal energy storage device, and B ₊ and B ₋ are the absorption and heat release efficiencies of the thermal energy storage device, respectively;

Energy storage device charging and discharging power constraints:

In the above formula, δ _1- , δ ₁₊ , δ _2- , and δ ₂₊ are all 0-1 integer variables. When the electric energy storage device is in the discharge state, δ _1- takes 1, and δ ₁₊ takes 0. When When the electric energy storage device is in the charging state, δ _1- takes 0, and δ ₁₊ takes 1. When the thermal energy storage device is in the exothermic state, δ _2- takes 1, and δ ₂₊ takes 0. In the endothermic state, δ _2- is 0, δ _{2+ is} 1, Q _- ^max and Q ₊ ^max are the maximum discharge power and maximum charging power of the electric energy storage device, respectively, H _- ^max and H ₊ ^max are the thermal storage The maximum exothermic power and the maximum heat absorption power of the energy equipment;

Energy conversion equipment power constraints:

In the above formula, P _gt is the electric power of the gas turbine, η _gt-e is the rated efficiency of natural gas converted into electricity by the gas turbine, P _ng-gt is the power input from the natural gas to the gas turbine, Q _gt is the thermal power of the gas turbine, and η _l is the heat dissipation Loss rate, η _hr is the thermal efficiency of the waste heat recovery device, Q _gb is the thermal power of the gas boiler, η _gb is the efficiency of natural gas converted into heat by the gas boiler, P _ng-gb is the power input from the natural gas to the gas boiler, Q _hp is the heat pump , η _hp is the heating efficiency of the heat pump, and P _hp is the power input from the natural gas to the heat pump;

Distribution network interaction power constraints:

In the above formula, P _ex is the power of the distribution network tie line;

Step 4. Use Cplex optimization software to solve the optimization scheduling model, and obtain the input and output of various equipment in the optimized regional integrated energy system, and the user's indoor temperature change curve;

Step 5. Schedule various types of equipment according to the above optimization scheme.

In order to examine the effectiveness of the method of the present invention, three scenarios were selected to compare the results of the day-ahead optimal scheduling and energy consumption costs obtained. In the second scenario, the operation strategy of constant heat and electricity is adopted, and on the basis of the first scenario, the gas turbine is involved in the scheduling of the system, and the power generation of the gas turbine is determined according to the heat supply; The third (ie, this embodiment) adopts the electric-heat joint scheduling operation strategy, and on the basis of the second scenario, the heat pump and the heat storage device are involved in the scheduling of thermal energy. See Figures 2, 3, and 4 for the scheduling results of scenarios 1, 2, and 3, respectively, and Figure 5 for the comparison results of energy costs in the three scenarios.

By comparison, it can be concluded that compared with other scenarios, the scenario of this embodiment utilizes a thermal energy storage system and a heat pump to give full play to the role of flexible thermal loads, decouples thermoelectric constraints, and realizes coordinated scheduling of electricity and heat, which is more reasonable. At the same time, based on the introduction of the flexible heat load model, through the cooperation of heat pumps and energy storage equipment with heating equipment such as gas turbines, the translation of heat load in time can be promoted, and the adjustment flexibility of heating equipment can be increased. The example scenario can make the total energy cost of the system lower, thereby improving the economy of system operation.

Claims (5)

1. a regional comprehensive energy system optimization scheduling method considering flexible heat load, it is characterized in that: The method comprises the following steps in sequence: Step A, obtaining the basic data of the regional comprehensive energy system to be optimized; Step B. Based on the obtained basic data, construct the following flexible heat load model considering the user's work and rest law:

In the above formula, T _in (t) and T _out (t) are the indoor and outdoor temperatures of the user in the t period, respectively, R is the thermal resistance of the house, C _air is the specific heat capacity of the air, and H(t) is the user's heat in the t period. power; Step C. Based on the above model, establish a day-ahead optimal dispatch model of the regional integrated energy system considering flexible heat load; Step D, solve the optimal scheduling model obtained in step C, and obtain the input and output of various equipment in the optimized regional integrated energy system, and the user's indoor temperature change curve; In step E, various types of equipment are scheduled according to the above optimization scheme. 2. A kind of regional integrated energy system optimization scheduling method considering flexible heat load according to claim 1, it is characterized in that: In step C, the objective function of the optimal scheduling model is:

In the above formula, T is the total dispatch time, price _elec,t is the price of electricity purchased or sold from the grid at time t, P _ex,t is the interactive power between the system and the distribution system at time t, and price _ng is the purchase price. The unit calorific value price of electric natural gas, P _ng-gt,,t and P _ng-gb,t are the gas power consumed by the gas turbine and gas boiler in the t period, respectively, and Δt is the unit dispatch time. 3. a kind of regional integrated energy system optimization scheduling method considering flexible heat load according to claim 2, is characterized in that: The constraints of the objective function include: Electric power balance constraints: P _load,t =P _ex,t +P _gt,t -P _hp,t -Q ₊ (t)+Q _- (t) In the above formula, P _load,t is the net electric load demand in the t period, P _gt,t is the electric power of the gas turbine in the t period, P _hp,t is the electric power consumed by the heat pump in the t period, Q ₊ (t), Q _- ( t) are the charging and discharging power of the electric energy storage device in the period t respectively; Thermal power balance constraints:

In the above formula, H _load,t is the heat load demand in the t period, Q _gt,t is the thermal power of the gas turbine in the t period, Q _gb,t is the thermal power of the gas boiler in the t period, and Q _hp,t is the heat pump in the t period. Heat power, H ₊ (t), H _- (t) are the heat absorption and heat release power of the thermal energy storage device in the t period, H _{water, t} is the hot water load demand, and N _c is the number of heating households in the system; Energy storage device energy storage constraints:

In the above formula, E _EES (t) is the capacity of the electric energy storage device in the t period, τ is the self-discharge rate of the electric energy storage device, A ₊ and A _- are the charging and discharging efficiencies of the electric energy storage device, respectively, H _ES ( t) is the capacity of the thermal energy storage device in the t period, μ is the self-heat release rate of the thermal energy storage device, and B ₊ and B ₋ are the absorption and heat release efficiencies of the thermal energy storage device, respectively; Energy storage device charging and discharging power constraints:

In the above formula, δ _1- , δ ₁₊ , δ _2- , and δ ₂₊ are all 0-1 integer variables. When the electric energy storage device is in the discharge state, δ _1- takes 1, and δ ₁₊ takes 0. When When the electric energy storage device is in the charging state, δ _1- takes 0, and δ ₁₊ takes 1. When the thermal energy storage device is in the exothermic state, δ _2- takes 1, and δ ₂₊ takes 0. In the endothermic state, δ _2- is 0, δ _{2+ is} 1, Q _- ^max and Q ₊ ^max are the maximum discharge power and maximum charging power of the electric energy storage device, respectively, H _- ^max and H ₊ ^max are the thermal storage The maximum exothermic power and the maximum heat absorption power of the energy equipment; Energy conversion equipment power constraints:

In the above formula, P _gt is the electric power of the gas turbine, η _gt-e is the rated efficiency of natural gas converted into electricity by the gas turbine, P _ng-gt is the power input from the natural gas to the gas turbine, Q _gt is the thermal power of the gas turbine, and η _l is the heat dissipation Loss rate, η _hr is the thermal efficiency of the waste heat recovery device, Q _gb is the thermal power of the gas boiler, η _gb is the efficiency of natural gas converted into heat by the gas boiler, P _ng-gb is the power input from the natural gas to the gas boiler, Q _hp is the heat pump , η _hp is the heating efficiency of the heat pump, and P _hp is the power input from the natural gas to the heat pump; Distribution network interaction power constraints:

In the above formula, P _ex is the power of the distribution network tie line. 4. The optimal scheduling method for a regional integrated energy system considering flexible thermal loads according to any one of claims 1-3, characterized in that: In the step D, Cplex optimization software is used to solve the optimal scheduling model. 5. The optimal scheduling method for a regional integrated energy system considering flexible thermal loads according to any one of claims 1-3, characterized in that: In step A, the basic data includes the composition, composition, and equipment parameters of the regional comprehensive energy system to be optimized.

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