A multi-time-scale optimal scheduling method and system for implicit thermoelectric boiler load

Abstract

The present invention relates to a multi-time-scale optimal scheduling method and system for the load of a thermal storage electric boiler, belonging to the technical field of power system optimal scheduling. Under the condition that the load of the thermal storage electric boiler participates in the active power scheduling of the power grid, the scheduling process is divided into three time scales: day-ahead, intra-day, and real-time. A day-ahead scheduling output model, an intra-day scheduling output model, and a real-time scheduling model are constructed, and these three models are used to sequentially solve the scheduling plans for day-ahead, intra-day, and real-time. From the perspective of multi-time-scale scheduling, the load of the thermal storage electric boiler, the combined heat and power unit, and the wind power are coordinately optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of power system optimization dispatching, and in particular to a multi-time scale optimization dispatching method and system for thermal power boiler load. Background Art

[0002] With the deepening of the energy transformation of the power grid, the modern power system is gradually developing in the direction of source-load interaction and large-scale new energy consumption. Electricity and thermal energy demand is the most important part of terminal energy consumption. Vigorously developing the electric-thermal integrated energy system is one of the effective means to solve problems such as energy depletion and environmental pollution. In order to build a new power system, it is necessary to focus on building a clean, low-carbon, safe and efficient energy system, improve the level of clean energy utilization and the efficiency of power system operation, and better play the role of source-grid-load-storage integration and multi-energy complementarity in ensuring energy security.

[0003] The thermal storage electric boiler consists of an electric boiler and a thermal storage device, which realizes energy storage and utilization in the form of heat storage. Scientifically allocating the adjustable load resources of the thermal storage electric boiler and deeply developing the "valley in the valley" capacity resources during the off-peak period of the existing power grid will provide effective support for solving problems such as improving the utilization rate of the power grid and improving the economic efficiency of electric energy substitution while ensuring the comfort of users' winter heating. Summary of the invention

[0004] The purpose of the present invention is to provide a multi-time scale optimization scheduling method and system for thermal power boiler load, so as to coordinate and optimize the thermal power boiler load, cogeneration unit and wind power from the perspective of multi-time scale scheduling under the condition that the thermal power boiler load participates in the active power scheduling of the power grid.

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

[0006] A multi-time scale optimization scheduling method for thermal power boiler load, the method comprising:

[0007] The day-ahead dispatch output model, intraday dispatch output model and real-time dispatch output model are constructed respectively when the thermal storage electric boiler load participates in the active power dispatch of the power grid;

[0008] Configure multiple scene modes, and obtain the thermal load forecast value and the electric load forecast value of the previous day in each scene mode; the multiple scene modes include a scene of sufficient power generation of the generator set, a scene of insufficient power generation of the generator set, an early winter scene, and a late winter scene;

[0009] According to the predicted values of thermal load and electric load in each scenario mode, the scheduling plan in each scenario mode is obtained by using the scheduling output model in the day before; the scheduling plan includes the start and stop status and output of the cogeneration unit, the output of the wind turbine unit and the load scheduling amount of the thermal storage electric boiler;

[0010] According to the day-ahead scheduling plan and the predicted values of wind power, heat load adjustment amount, and electric load adjustment amount in the future intraday period under each scenario mode, an intraday scheduling output model is used to obtain the future intraday scheduling plan under each scenario mode;

[0011] According to the future intraday scheduling plan under each scenario mode and the predicted value of wind power load in the future period, a real-time scheduling model is used to obtain the real-time load scheduling amount of the thermoelectric storage boiler under each scenario mode.

[0012] Optionally, the day-ahead scheduling output model includes: a first objective function and a first constraint condition aiming to minimize the system scheduling operation cost;

[0013] The first objective function is In the formula, F1 is the system scheduling operation cost, t and T1 are respectively one period of the scheduling cycle and the total number of periods in the day-ahead scheduling stage, C CHP is the combustion cost of the cogeneration unit, S i is the start-up cost coefficient of thermal power unit i, u i,t-1 and u i,t are the state variables of thermal power unit i at t-1 and t periods, is the steam cost of thermal power unit i at t period, is the steam production cost of thermal power unit i at t period, is the steam transportation cost of thermal power unit i at t period, N is the number of thermal power units, C w is the unit cost of wind power curtailment, is the wind power curtailment capacity at t period, C FL is the incentive-type load that can be curtailed represented by the load of the thermal energy storage electric boiler, C XJ,t 、 are respectively the unit compensation standard and the actual response amount of the load that can be curtailed;

[0014] The first constraint condition includes network power balance constraint, unit operation constraint, thermal energy storage electric boiler operation constraint, wind power generation constraint, and user comfort constraint.

[0015] Optionally, the network power balance constraint is and In the formula, C r {·} is the confidence expression, P G,i,t is the unit output of thermal power unit i at t period, P w,t is the wind power output at t period, is the actual period load, α is the confidence level of the power balance constraint, R is the number of wind turbines, H CHP,j,t is the heating power of wind turbine j, H EB,tis the heating power of the boiler during period t, H HS,t is the heat absorption and release power of the heat storage pipe during period t; H LD,t is the heat load during period t;

[0016] The operating constraints of the unit include unit output constraint, unit ramp rate constraint and unit start-stop constraint;

[0017] The unit output constraint is P G,i,min ≤P G,i,t ≤P G,i,max ; In the formula, P G,i,min is the minimum unit output of thermal power unit i, P G,i,max is the maximum unit output of thermal power unit i;

[0018] The unit ramp rate constraint is -R G,i,down ≤P G,i,t -P G,i,t-1 ≤R G,i,up ; R G,i,down 、R G,i,up are the upward and downward ramp rates of thermal power unit i during period t respectively, P G,i,t-1 is the unit output of thermal power unit i at t-1 period;

[0019] The unit start-stop constraint is u i,t+v-1 、u i,t+v are the state variables of thermal power unit i at t+v-1 and t+v periods respectively, T on 、T off are the minimum continuous on and off times respectively;

[0020] The operating constraints of the heat storage electric boiler include the electric power constraint of the electric boiler and the operating constraints of the heat storage device;

[0021] The electric power constraint of the electric boiler is In the formula, P EB,t is the electric power of the electric boiler during period t, is the maximum electric power of the electric boiler;

[0022] The operating constraints of the heat storage device are In the formula, η ah is the electro-thermal conversion efficiency of the electric boiler, H in,t 、H out,t and H loss are the heat release power, heat absorption power and heat loss power of the heat storage device respectively, H load,t 、H trans,t are the heat load of the electric boiler and the power transmitted to the load during period t respectively, S h,t+1 、S h,t$Q_{t + 1}$ and $Q_t$ are the heat storage amounts of the heat storage device in periods $t + 1$ and $t$, respectively, and $\Delta t$ is the time interval;

[0023] The wind power generation constraint is In the formula, is the upper limit of wind power generation in period $t$;

[0024] The user comfort constraint includes a temperature comfort constraint and an electricity consumption comfort constraint;

[0025] The temperature comfort constraint is In the formula, is the indoor temperature in period $t$, $P$ t tl is the thermal power provided by the combined heat and power unit and the electro-thermal storage boiler to the user during heating, $\Delta A$ is the change in indoor temperature, $\rho$ air is the specific heat capacity of air, $R$ is the derivative of the thermal resistance of building materials; $A$ max $A$ min are the upper and lower values of the indoor temperature, respectively;

[0026] The electricity consumption comfort constraint is In the formula, $\lambda$ t,m $\lambda$ t-1,m are the start-stop states of the flexible load $m$ in periods $t$ and $t - 1$, respectively, $\lambda$ t-k is the start-stop state of the flexible load $m$ in period $t - k$, $E$, $s$, and $e$ are the minimum operating time of the flexible load and the start and end times of the schedulable period, respectively, is the power of the flexible load $m$ in period $t$, $P$ elcurt,max is the upper limit value of the power of the flexible load.

[0027] Optionally, the intra-day dispatch output model includes: a second objective function and second constraint conditions with the minimization of the sum of the coal consumption cost, wind curtailment cost, and flexible load dispatch cost as the objective;

[0028] The second objective function is In the formula, $F_2$ is the sum of the coal consumption cost, wind curtailment cost, and flexible load dispatch cost, and $T_2$ is the total number of periods in the intra-day dispatch stage;

[0029] The second constraint conditions include a first system power balance constraint, a first electro-thermal storage boiler load constraint, a first wind curtailment constraint, a unit output constraint, and a unit ramp rate constraint;

[0030] The first system power balance constraint is In the formula, $R$ and $M$ are the numbers of combined heat and power units and wind turbines, respectively, $P$ CHP,g,t is the power of the combined heat and power unit $g$ in period $t$, $P$ w,j,t is the power of the wind turbine $j$ in period $t$, $P$ LD,t $P$ ED,tThey are the electrical and thermal loads of the system during period t, respectively.

[0031] The first electric storage thermal boiler load constraint is In the formula, They are the minimum and maximum power that can be curtailed within a day represented by the electric storage thermal boiler load, respectively. P st,2h is the power that can be curtailed within a day represented by the electric storage thermal boiler load.

[0032] The first wind curtailment constraint is In the formula, P w,2h is the wind power generation within a 2-hour period, is the upper limit of wind power generation within a 2-hour period.

[0033] Optionally, the real-time scheduling model includes: a third objective function and third constraint conditions with the goal of minimizing the sum of the wind curtailment cost and the electric storage thermal boiler load scheduling cost;

[0034] The third objective function is In the formula, F3 is the sum of the wind curtailment cost and the electric storage thermal boiler load scheduling cost, and T3 is the total number of periods in the real-time scheduling stage;

[0035] The third constraint conditions include the second system power balance constraint, the second electric storage thermal boiler load constraint, and the second wind curtailment constraint;

[0036] The second system power balance constraint is

[0037] The second electric storage thermal boiler load constraint is In the formula, They are the minimum and maximum real-time curtailable power represented by the electric storage thermal boiler load, respectively; P st,15min is the real-time curtailable power represented by the electric storage thermal boiler load;

[0038] The second wind curtailment constraint is In the formula, is the upper limit of wind power generation within a 15-minute period, P w,15min is the wind power generation within a 15-minute period.

[0039] A multi-time scale optimal scheduling system with an electric storage thermal boiler load, the system includes:

[0040] A model construction module, used to respectively construct a day-ahead scheduling output model, an intra-day scheduling output model, and a real-time scheduling model under the condition that the electric storage thermal boiler load participates in the active power scheduling of the power grid;

[0041] A scenario configuration module, configured to configure multiple scenario modes and obtain the predicted daily heat load and predicted daily electricity load values under each scenario mode; the multiple scenario modes include scenarios of sufficient power generation of generating units, scenarios of insufficient power generation of generating units, early winter scenarios, and deep winter scenarios;

[0042] A daily dispatch plan obtaining module, configured to obtain the daily dispatch plan under each scenario mode by using a daily dispatch output model according to the predicted daily heat load and predicted daily electricity load values under each scenario mode; the dispatch plan includes the start-stop status and output of combined heat and power units, the output of wind turbines, and the load dispatch volume of heat storage electric boilers;

[0043] An intraday dispatch plan obtaining module, configured to obtain the future intraday dispatch plan under each scenario mode by using an intraday dispatch output model according to the daily dispatch plan under each scenario mode and the predicted future intraday wind power, heat load adjustment amount, and electricity load adjustment amount;

[0044] A real-time heat storage electric boiler load dispatch volume obtaining module, configured to obtain the real-time load dispatch volume of heat storage electric boilers under each scenario mode by using a real-time dispatch model according to the future intraday dispatch plan under each scenario mode and the predicted future wind power load values in future time periods.

[0045] Optionally, the daily dispatch output model includes: a first objective function and a first constraint condition with the goal of minimizing the system dispatch operation cost;

[0046] The first objective function is In the formula, F1 is the system dispatch operation cost, t and T1 are respectively one time period of the dispatch cycle and the total number of time periods in the daily dispatch stage, C CHP is the combustion cost of the combined heat and power unit, S i is the start-up cost coefficient of thermal power unit i, u i,t-1 and u i,t are the state variables of thermal power unit i at t - 1 and t time periods, is the steam cost of thermal power unit i at t time period, is the steam production cost of thermal power unit i at t time period, is the steam transportation cost of thermal power unit i at t time period, N is the number of thermal power units, C w is the unit cost of wind power curtailment, is the wind power curtailment capacity at t time period, C FL is the incentive-type load that can be curtailed represented by the load of the heat storage electric boiler, C XJ,t 、 are respectively the unit compensation standard and the actual response volume of the load that can be curtailed;

[0047] The first constraint condition includes network power balance constraint, unit operation constraint, operation constraint of heat storage electric boiler, wind power generation constraint and user comfort constraint.

[0048] Optionally, the network power balance constraint is and In the formula, C r {·} is the confidence expression, P G,i,t is the unit output of thermal power unit i at time t, P w,t is the wind power output at time t, is the actual time period load, α is the confidence level of the power balance constraint, R is the number of wind turbines, H CHP,j,t is the heating power of wind turbine j, H EB,t is the boiler heating power at time t, H HS,t is the heat absorption and release power of the heat storage pipe at time t; H LD,t is the heat load at time t;

[0049] The unit operation constraint includes unit output constraint, unit ramp rate constraint and unit start-stop constraint;

[0050] The unit output constraint is P G,i,min ≤P G,i,t ≤P G,i,max ; In the formula, P G,i,min is the minimum unit output of thermal power unit i, P G,i,max is the maximum unit output of thermal power unit i;

[0051] The unit ramp rate constraint is -R G,i,down ≤P G,i,t -P G,i,t-1 ≤R G,i,up ; R G,i,down 、R G,i,up are the upward and downward ramp powers of thermal power unit i at time t respectively, P G,i,t-1 is the unit output of thermal power unit i at time t-1;

[0052] The unit start-stop constraint is u i,t+v-1 、u i,t+v are the state variables of thermal power unit i at time t+v-1 and time t+v respectively, T on 、T off are the minimum continuous start-up and shutdown times respectively;

[0053] The operation constraint of the heat storage electric boiler includes the electric power constraint of the electric boiler and the operation constraint of the heat storage device;

[0054] The electric power constraint of the electric boiler is Wherein, P EB,t is the electric power of the electric boiler during time period t, and

[0055] the operation constraint of the heat storage device is Wherein, η ah is the electro-thermal conversion efficiency of the electric boiler, H in,t , H out,t and H loss are respectively the heat release power, heat absorption power and heat loss power of the heat storage device, H load,t , H trans,t are respectively the heat load of the electric boiler during time period t and the power delivered to the load, S h,t+1 , S h,t are the heat storage amounts of the heat storage device at time periods t + 1 and t, and Δt is the time interval;

[0056] The wind power generation constraint is Wherein, is the upper limit of wind power generation during time period t;

[0057] The user comfort constraint includes a temperature comfort constraint and an electricity consumption comfort constraint;

[0058] The temperature comfort constraint is Wherein, is the indoor temperature during time period t, P t tl is the heat power provided by the combined heat and power unit and the electric boiler with heat storage to the user during heating, ΔA is the change in indoor temperature, ρ air is the specific heat capacity of air, R is the derivative of the thermal resistance of building materials; A max , A min are respectively the upper and lower values of the indoor temperature;

[0059] The electricity consumption comfort constraint is Wherein, λ t,m , λ t-1,m are respectively the start-stop states of the flexible load m at time periods t and t - 1, λ t-k is the start-stop state of the flexible load m at time period t - k, E, s, and e are respectively the minimum operation time of the flexible load and the start and end times of the schedulable period, is the power of the flexible load m during time period t, P elcurt,max is the upper limit value of the power of the flexible load.

[0060] Optionally, the intra-day dispatch output model includes: a second objective function and second constraint conditions with the goal of minimizing the sum of the coal consumption cost, the wind abandonment cost, and the flexible load dispatch cost;

[0061] The second objective function is In the formula, F2 is the sum of the coal consumption cost, the curtailment cost of wind power, and the flexible load scheduling cost, and T2 is the total number of time periods in the intraday scheduling stage;

[0062] The second constraint condition includes the first system power balance constraint, the first electric storage thermal boiler load constraint, the first wind power curtailment constraint, the unit output constraint, and the unit ramp rate constraint;

[0063] The first system power balance constraint is In the formula, R and M are the numbers of the combined heat and power units and the wind turbines respectively, and P CHP,g,t is the power of the combined heat and power unit g at time period t, and P w,j,t is the power of the wind turbine j at time period t, and P LD,t , P ED,t are the electric and heat loads of the system at time period t respectively;

[0064] The first electric storage thermal boiler load constraint is In the formula, are the minimum and maximum powers that can be curtailed during the day represented by the electric storage thermal boiler load respectively, and P st,2h is the power that can be curtailed during the day represented by the electric storage thermal boiler load;

[0065] The first wind power curtailment constraint is In the formula, P w,2h is the wind power generation within 2 hours, is the upper limit of wind power generation within 2 hours.

[0066] Optionally, the real-time scheduling model includes: a third objective function and a third constraint condition with the minimum sum of the curtailment cost of wind power and the electric storage thermal boiler load scheduling cost as the objective;

[0067] The third objective function is In the formula, F3 is the sum of the curtailment cost of wind power and the electric storage thermal boiler load scheduling cost, and T3 is the total number of time periods in the real-time scheduling stage;

[0068] The third constraint condition includes the second system power balance constraint, the second electric storage thermal boiler load constraint, and the second wind power curtailment constraint;

[0069] The second system power balance constraint is

[0070] The second electric storage thermal boiler load constraint is In the formula, are the minimum and maximum powers that can be curtailed in real time represented by the electric storage thermal boiler load respectively; P st,15min is the power that can be curtailed in real time represented by the electric storage thermal boiler load;

[0071] The second wind power curtailment constraint is In the formula, is the upper limit of wind power generation within 15 minutes, P w,15min It is the wind power generation within 15 minutes.

[0072] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0073] The present invention discloses a multi-time scale optimization scheduling method and system for thermal power boiler load. Under the condition that the thermal power boiler load participates in the active power scheduling of the power grid, the scheduling process is divided into three time scales: day-ahead, intraday and real-time. A day-ahead scheduling output model, an intraday scheduling output model and a real-time scheduling model are constructed. The three models are used to sequentially solve the day-ahead, intraday and real-time scheduling plans. From the perspective of multi-time scale scheduling, the thermal power boiler load, the cogeneration unit and the wind power are coordinated and optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0075] Figure 1 A flowchart of a multi-time scale optimization scheduling method for thermal power boiler load provided by the present invention;

[0076] Figure 2 A schematic diagram of a multi-time scale optimization scheduling method for thermal power boiler load provided by 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] The purpose of the present invention is to provide a multi-time scale optimization scheduling method and system for thermal power boiler load, so as to coordinate and optimize the thermal power boiler load, cogeneration unit and wind power from the perspective of multi-time scale scheduling under the condition that the thermal power boiler load participates in the active power scheduling of the power grid.

[0079] 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.

[0080] The present invention provides a multi-time scale optimization scheduling method for thermal power boiler load. Figure 1-2 As shown, the method includes:

[0081] Step 101, respectively constructing a day-ahead dispatch output model, an intra-day dispatch output model and a real-time dispatch model under the participation of the thermal storage electric boiler load in the active power dispatch of the power grid.

[0082] Based on the differences in errors of renewable energy power generation at different time scales and the differences in the corresponding regulation capabilities of the power grid, the dispatching process is divided into three time scales: 24h dispatching before the day, 2h dispatching within the day, and real-time dispatching, to coordinate and optimize the loads of thermal storage boilers, cogeneration units, and wind turbines.

[0083] (1) The day-ahead dispatch output model includes: a first objective function and a first constraint condition with the goal of minimizing the system dispatch operation cost.

[0084] The first objective function is Where F1 is the system scheduling operation cost, t and T1 are one of the time periods in the scheduling cycle and the total number of time periods in the day-ahead scheduling phase, respectively, and C CHP is the combustion cost of the combined heat and power unit, S i is the startup cost coefficient of thermal power unit i, u i,t-1 and u i,t is the state variable of thermal power unit i during period t-1 and t, is the steam cost of thermal power unit i in period t, is the steam production cost of thermal power unit i in period t, is the steam transportation cost of thermal power unit i in period t, N is the number of thermal power units, C w is the unit wind curtailment cost, is the wind curtailment capacity in period t, C FL For incentive-type reducible loads represented by thermal storage electric boiler loads, C XJ,t , They are the unit compensation standard and actual response amount of the load that can be reduced.

[0085] Among them, the thermal storage electric boiler model:

[0086] Thermal storage electric boilers are electric boilers with heat storage devices added. During the peak period of wind power generation, thermal storage electric boilers will replace the cogeneration unit to increase the space for wind power to be connected to the grid. The model expression is:

[0087]

[0088] Where: H EB and PEB are the heating and power consumption of the electric boiler during period t; η ah is the electro-thermal conversion efficiency of the electric boiler; S EB,t is the heat storage capacity during period t; μ is the heat dissipation loss rate; H HS_in,t 、H HS_out,t and λ HS_in,t 、λ HS_out,t are the heat absorption and release power and efficiency during period t respectively.

[0089] Thermal power unit model:

[0090] The operating cost of the thermal power unit is related to the electric load and the heat load, and the model expression is:

[0091]

[0092] In the formula: P CHP,i,t 、Q CHP,i,t and H CHP,i,t are the power generation power, reactive power and heat supply power of the thermal power unit respectively; C i,V is the heat-electricity ratio of the extraction unit; P ZS,i,t is to convert P CHP,i,t and H CHP,i,t into the electric power under the pure condensing condition; A i 、B i 、C i 、D i 、E i 、F i Thermal power cogeneration unit coal consumption coefficient; M is the number of extraction units; C CHP is the combustion cost of the thermal power cogeneration unit.

[0093] The first constraint condition includes network power balance constraint, unit operation constraint, operation constraint of heat storage electric boiler, wind power generation constraint and user comfort constraint.

[0094] ① The network power balance constraint is and In the formula, C r {·} is the confidence expression, P G,i,t is the unit output of thermal power unit i at time t, P w,t is the wind power output at time t, is the actual period load, is the actual response amount of the load that can be curtailed, α is the confidence level of the power balance constraint, R is the number of wind turbines, H CHP,j,t is the heat supply power of wind turbine j, H EB,t is the boiler heating power at time t, H HS,t is the heat absorption and release power of the heat storage pipe at time t; H LD,t is the heat load at time t;

[0095] Chance constraints are used to establish the constraints.

[0096] ② The unit operation constraints include unit output constraints, unit ramp rate constraints, and unit start-stop constraints.

[0097] The unit output constraint is P G,i,min ≤P G,i,t ≤P G,i,max ; where P G,i,min is the minimum unit output of thermal power unit i, and P G,i,max is the maximum unit output of thermal power unit i.

[0098] The unit ramp rate constraint is -R G,i,down ≤P G,i,t -P G,i,t-1 ≤R G,i,up ; R G,i,down and R G,i,up are the upward and downward ramp rates of thermal power unit i at time t, respectively, and P G,i,t-1 is the unit output of thermal power unit i at time t-1.

[0099] The output and ramp rate constraints of the combined heat and power unit are similar to those of the conventional thermal power unit.

[0100] The unit start-stop constraint is u i,t+v-1 and u i,t+v are the state variables of thermal power unit i at times t+v-1 and t+v, respectively, and T on and T off are the minimum continuous on and off times, respectively.

[0101] ③ The operation constraints of the heat storage electric boiler include the electric power constraint of the electric boiler and the operation constraint of the heat storage device.

[0102] The electric power constraint of the electric boiler is where P EB,t is the electric power of the electric boiler at time t, is the maximum electric power of the electric boiler.

[0103] The operation constraint of the heat storage device is where η ah is the electro-thermal conversion efficiency of the electric boiler, and H in,t , H out,t and H loss are the heat release power, heat absorption power, and heat loss power of the heat storage device, respectively, and H load,t , H trans,t are the heat load of the electric boiler and the power transmitted to the load at time t, respectively, and S h,t+1 , Sh,t $Q_{t + 1}$ and $Q_t$ are the heat storage amounts of the heat storage device in periods $t + 1$ and $t$, respectively, and $\Delta t$ is the time interval;

[0104] ④ The wind power generation constraint is In the formula, $P_{wt}^{\max}$ is the upper limit of wind power generation in period $t$;

[0105] ⑤ The user comfort constraints include temperature comfort constraints and electricity consumption comfort constraints;

[0106] The temperature comfort constraint is In the formula, $T_{in,t}$ is the indoor temperature in period $t$, $P$ t tl $Q_{chp,t} + Q_{tes,t}$ is the heat power provided by the CHP unit and the thermal energy storage electric boiler to the user during heating, $\Delta A$ is the change in indoor temperature, $\rho$ air is the specific heat capacity of air, $R$ is the derivative of the thermal resistance of building materials; $A$ max $A_{in}^{\min}$ min $A_{in}^{\max}$ are the lower and upper limits of the indoor temperature, respectively;

[0107] The electricity consumption comfort constraint is In the formula, $\lambda$ t,m $\lambda_{m,t}$ t-1,m $\lambda_{m,t - 1}$ are the start - stop states of the flexible load $m$ in periods $t$ and $t - 1$, respectively, $\lambda$ t-k $\lambda_{m,t - k}$ is the start - stop state of the flexible load $m$ in period $t - k$, $E$, $s$, $e$ are the minimum operating time of the flexible load and the start and end times of the schedulable period, respectively, $P_{m,t}$ is the power of the flexible load $m$ in period $t$, $P$ elcurt,max $P_{m}^{\max}$ is the upper limit value of the power of the flexible load.

[0108] (2) The intra - day dispatch output model includes: a second objective function and second constraint conditions with the goal of minimizing the sum of coal consumption cost, wind curtailment cost, and flexible load dispatch cost.

[0109] The second objective function is In the formula, $F_2$ is the sum of coal consumption cost, wind curtailment cost, and flexible load dispatch cost, $C$ XJ,t $C_{d}$ $\Delta D$ are the unit compensation standard and the actual response amount of the load that can be curtailed, respectively, and $T_2$ is the total number of periods in the intra - day dispatch stage.

[0110] The second constraint conditions include the first system power balance constraint, the first thermal energy storage electric boiler load constraint, the first wind curtailment constraint, the unit output constraint, and the unit ramp - up / down constraint;

[0111] ① The first system power balance constraint is In the formula, $R$ and $M$ are the numbers of CHP units and wind turbines, respectively, $P$ CHP,g,t $P_{g,t}$ is the power of the CHP unit $g$ in period $t$, $P$ w,j,tis the power of wind turbine j in period t, P LD,t and P ED,t are the electric and heat loads of the system in period t respectively;

[0112] ② The first electric boiler with heat storage load constraint is In the formula, are the minimum and maximum power that can be shaved within a day represented by the electric boiler with heat storage load respectively, P st,2h is the power that can be shaved within a day represented by the electric boiler with heat storage load;

[0113] ③ The first wind curtailment constraint is In the formula, P w,2h is the wind power generation within 2 hours, is the upper limit of wind power generation within 2 hours.

[0114] (3) The real-time scheduling model includes: the third objective function and the third constraint condition with the minimum sum of wind curtailment cost and the electric boiler with heat storage load scheduling cost as the objective.

[0115] The third objective function is In the formula, F3 is the sum of the wind curtailment cost and the electric boiler with heat storage load scheduling cost, and T3 is the total number of periods in the real-time scheduling stage.

[0116] The third constraint condition includes the second system power balance constraint, the second electric boiler with heat storage load constraint and the second wind curtailment constraint;

[0117] ① The second system power balance constraint is

[0118] ② The second electric boiler with heat storage load constraint is In the formula, are the minimum and maximum power that can be shaved in real time represented by the electric boiler with heat storage load respectively; P st,15min is the power that can be shaved in real time represented by the electric boiler with heat storage load;

[0119] ③ The second wind curtailment constraint is In the formula, is the upper limit of wind power generation within 15 minutes, P w,15min is the wind power generation within 15 minutes. That is, in real-time scheduling, the wind power only needs to meet the upper limit constraint of the output.

[0120] Step 102, configure multiple scenario modes, and obtain the predicted heat load and predicted electric load values for the day-ahead under each scenario mode;

[0121] Multiple scenario modes include the scenarios of sufficient power generation of the generator set, insufficient power generation of the generator set, early winter scenario, and deep winter scenario. When configuring 4 scenarios, scenarios a and b, i.e., the line capacity can be divided into sufficient and insufficient. The capacity surplus situation of the line directly determines the flexible start-up space of the heat storage electric boiler. The line capacity refers to the surplus obtained by subtracting the load from the generator set power generation (considering the output of the combined heat and power unit and the wind turbine unit), which is the power generation of the generator set; scenarios c and d, i.e., the early winter and deep winter scenarios. Since users need to ensure a relatively stable room temperature and considering the user comfort constraint, the heat storage requirements of the heat storage electric boiler are also different.

[0122] Based on the historical data related to heat load and electric load, obtain the predicted values of heat and electric load for the day ahead.

[0123] Step 103, according to the predicted values of heat load and electric load for the day ahead under each scenario mode, use the day-ahead dispatch output model to obtain the day-ahead dispatch plan under each scenario mode; the dispatch plan includes the start-stop status and output of the combined heat and power unit, the output of the wind turbine unit, and the load dispatch volume of the heat storage electric boiler.

[0124] With different application scenarios, the model input data and constraint conditions (temperature constraint in the comfort constraint) are different, and then compare the dispatch optimization strategies under different power grid environments and heating demands.

[0125] Step 104, based on the day-ahead dispatch plan under each scenario mode and the predicted values of wind power, heat load adjustment amount, and electric load adjustment amount in the future intraday period, use the intraday dispatch output model to obtain the intraday dispatch plan under each scenario mode.

[0126] There will be a certain deviation between the system operation situation and the load demand change under the day-ahead dispatch strategy. First, through day-ahead decision-making, determine the unit combination situation and substitute it as a determined quantity into the established 2-hour intraday dispatch model. As the operation time point approaches, formulate the intraday dispatch plan to obtain the unit output in the next 2 hours.

[0127] Step 105, according to the intraday dispatch plan under each scenario mode and the predicted value of wind power load in the future period, use the real-time dispatch model to obtain the real-time load dispatch volume of the heat storage electric boiler under each scenario mode.

[0128] Steps 102 - 105 use the MATLAB software to specifically program the multi-time scale dispatch model with the heat storage electric boiler load, and use the commercial software YALMIO and CPLEX for programming and solving, and output the multi-time scale dispatch information. It includes the electric and heat output of the thermal power unit, the output of the wind turbine unit, and the load dispatch volume of the heat storage electric boiler.

[0129] Under the condition that the heat storage electric boiler load participates in the active power dispatching of the power grid, based on the differences in the errors of new energy power generation at different time scales and the corresponding regulation capabilities of the power grid, a multi-time scale coordinated response dispatching model and strategy of "multi-level coordination and gradual refinement" are proposed to improve the utilization level of new energy and ensure the operation efficiency of the power system, providing theoretical guidance for energy economic dispatching.

[0130] The present invention utilizes the flexible characteristics of the heat load and the heat storage electric boiler, which is equivalent to transferring the heat demand on the time scale, thereby relaxing the constraint conditions of the real-time balance of the heat power and weakening the limitation of the heat load on the output of the heating equipment. It can well cope with the randomness and intermittency of the new energy output, and can explore the potential of the heat load side resources in improving the power grid utilization rate, and effectively enhance the power grid's ability to absorb new energy.

[0131] The present invention also provides a multi-time scale optimal dispatching system including a heat storage electric boiler load, and the system includes:

[0132] A model construction module for respectively constructing a day-ahead dispatching output model, an intra-day dispatching output model, and a real-time dispatching model under the condition that the heat storage electric boiler load participates in the active power dispatching of the power grid;

[0133] A scenario configuration module for configuring multiple scenario modes and obtaining the day-ahead heat load prediction value and the electric load prediction value under each scenario mode; the multiple scenario modes include the scenarios of sufficient power generation of the generating units, insufficient power generation of the generating units, early winter scenario, and deep winter scenario;

[0134] A day-ahead dispatching plan obtaining module for obtaining the day-ahead dispatching plan under each scenario mode by using the day-ahead dispatching output model according to the day-ahead heat load prediction value and the electric load prediction value under each scenario mode; the dispatching plan includes the start-stop state and output of the cogeneration unit, the output of the wind turbine, and the dispatching amount of the heat storage electric boiler load;

[0135] An intra-day dispatching plan obtaining module for obtaining the future intra-day dispatching plan under each scenario mode by using the intra-day dispatching output model based on the day-ahead dispatching plan under each scenario mode and the future intra-day wind power prediction value, heat load adjustment amount, and electric load adjustment amount;

[0136] A real-time heat storage electric boiler load dispatching amount obtaining module for obtaining the real-time heat storage electric boiler load dispatching amount under each scenario mode by using the real-time dispatching model according to the future intra-day dispatching plan under each scenario mode and the future period wind power load prediction value.

[0137] The day-ahead dispatching output model includes: a first objective function and a first constraint condition aiming at minimizing the system dispatching operation cost;

[0138] The first objective function is Wherein, F1 is the system dispatching operation cost, t and T1 are respectively one time period of the dispatching cycle and the total number of time periods in the day-ahead dispatching stage, C CHP is the combustion cost of the combined heat and power unit, S i is the start-up cost coefficient of thermal power unit i, u i,t-1 and u i,t are the state variables of thermal power unit i at time periods t-1 and t, is the steam cost of thermal power unit i at time period t, is the steam production cost of thermal power unit i at time period t, is the steam transportation cost of thermal power unit i at time period t, N is the number of thermal power units, C w is the unit curtailment cost of wind power, is the wind power curtailment capacity at time period t, C FL is the incentive-type reducible load represented by the charge rate of the heat storage electric boiler, C XJ,t 、 are respectively the unit compensation standard and the actual response amount of the reducible load;

[0139] The first constraint conditions include network power balance constraint, unit operation constraint, heat storage electric boiler operation constraint, wind power generation constraint and user comfort constraint.

[0140] The network power balance constraint is and Wherein, C r {·} is the confidence expression, P G,i,t is the unit output of thermal power unit i at time period t, P w,t is the wind power output at time period t, is the actual time period load, is the actual response amount of the reducible load, α is the confidence level of the power balance constraint, R is the number of wind turbines, H CHP,j,t is the heat supply power of wind turbine j, H EB,t is the boiler heating power at time period t, H HS,t is the heat absorption and release power of the heat storage pipe at time period t; H LD,t is the heat load at time period t;

[0141] The unit operation constraints include unit output constraint, unit ramp rate constraint and unit start-stop constraint;

[0142] The unit output constraint is P G,i,min ≤P G,i,t ≤P G,i,max ; Wherein, P G,i,min is the minimum unit output of thermal power unit i, P G,i,max is the maximum unit output of thermal power unit i;

[0143] The ramp rate constraint of the unit is -R G,i,down ≤P G,i,t -P G,i,t-1 ≤R G,i,up ; R G,i,down 、R G,i,up are the upward and downward ramp rates of thermal power unit i at time t, respectively, and P G,i,t-1 is the output of thermal power unit i at time t-1;

[0144] The start-up and shut-down constraints of the unit are u i,t+v-1 、u i,t+v are the state variables of thermal power unit i at time t+v-1 and t+v, respectively, and T on 、T off are the minimum continuous on and off times, respectively;

[0145] The operating constraints of the heat storage electric boiler include the electric power constraint of the electric boiler and the operating constraints of the heat storage device;

[0146] The electric power constraint of the electric boiler is where P EB,t is the electric power of the electric boiler at time t, is the maximum electric power of the electric boiler;

[0147] The operating constraints of the heat storage device are where η ah is the electro-thermal conversion efficiency of the electric boiler, and H in,t 、H out,t and H loss are the heat release power, heat absorption power and heat loss power of the heat storage device, respectively, and H load,t 、H trans,t are the heat load of the electric boiler and the power transmitted to the load at time t, respectively, and S h,t+1 、S h,t are the heat storage amounts of the heat storage device at time t+1 and t, respectively, and Δt is the time interval;

[0148] The wind power generation constraint is where is the upper limit of wind power generation at time t;

[0149] The user comfort constraints include the temperature comfort constraint and the power consumption comfort constraint;

[0150] The temperature comfort constraint is where is the indoor temperature at time t, and P t tl is the heat power provided by the combined heat and power unit and the heat storage electric boiler to the user during heating, ΔA is the change in indoor temperature, and ρ airis the specific heat capacity of air, and R is the derivative of the thermal resistance of building materials; A max and A min are the upper and lower limits of the indoor temperature respectively;

[0151] The power consumption comfort constraint is In the formula, λ t,m and λ t-1,m are the start-stop states of the flexible load m in the t and t-1 periods respectively, and λ t-k is the start-stop state of the flexible load m in the t-k period. E, s, and e are the minimum operation time of the flexible load and the start and end times of the schedulable period respectively. is the power of the flexible load m in the t period, and P elcurt,max is the upper limit of the power of the flexible load.

[0152] The intra-day dispatch output model includes: a second objective function and second constraints with the goal of minimizing the sum of coal consumption cost, wind curtailment cost, and flexible load dispatch cost;

[0153] The second objective function is In the formula, F2 is the sum of coal consumption cost, wind curtailment cost, and flexible load dispatch cost, C XJ,t and are the unit compensation standard and actual response volume of the load that can be curtailed respectively, and T2 is the total number of periods in the intra-day dispatch stage;

[0154] The second constraints include the first system power balance constraint, the first thermal energy storage electric boiler load constraint, the first wind curtailment constraint, the unit output constraint, and the unit ramp rate constraint;

[0155] The first system power balance constraint is In the formula, R and M are the numbers of combined heat and power units and wind turbines respectively, P CHP,g,t is the power of the combined heat and power unit g in the t period, P w,j,t is the power of the wind turbine j in the t period, P LD,t and P ED,t are the electric and heat loads of the system in the t period respectively;

[0156] The first thermal energy storage electric boiler load constraint is In the formula, are the minimum and maximum powers that can be curtailed during the day represented by the thermal energy storage electric boiler load respectively, and P st,2h is the power that can be curtailed during the day represented by the thermal energy storage electric boiler load;

[0157] The first wind curtailment constraint is In the formula, P w,2h is the wind power generation within 2h, is the upper limit of wind power generation within 2h.

[0158] The real-time scheduling model includes: a third objective function and third constraint conditions with the minimum sum of curtailment cost and load scheduling cost of the electric boiler with thermal energy storage as the objective;

[0159] The third objective function is In the formula, F3 is the sum of curtailment cost and load scheduling cost of the electric boiler with thermal energy storage, and T3 is the total number of time periods in the real-time scheduling stage;

[0160] The third constraint conditions include the second system power balance constraint, the second load constraint of the electric boiler with thermal energy storage, and the second curtailment constraint;

[0161] The second system power balance constraint is

[0162] The second load constraint of the electric boiler with thermal energy storage is In the formula, are the minimum and maximum real-time adjustable powers represented by the load of the electric boiler with thermal energy storage respectively; P st,15min is the real-time adjustable power represented by the load of the electric boiler with thermal energy storage;

[0163] The second curtailment constraint is In the formula, is the upper limit of wind power generation within a 15-minute time period, and P w,15min is the wind power generation within a 15-minute time period.

[0164] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. 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.

[0165] Specific examples are used in this article to elaborate on the principles and implementation manners of the present invention. The descriptions of the above embodiments are only used to help understand the method of the present invention and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A multi-time scale optimal scheduling method for implicit thermal power boiler load, characterized in that The method includes: Constructing a day-ahead dispatch output model, an intra-day dispatch output model, and a real-time dispatch model respectively under the condition that the load of the heat storage electric boiler participates in the active power dispatch of the power grid; Configuring a variety of scenario modes, and obtaining the predicted values of heat load and electric load for each scenario mode on the day-ahead; The variety of the scenario modes includes the scenario of sufficient power generation of the generator set, the scenario of insufficient power generation of the generator set, the early winter scenario, and the deep winter scenario; According to the predicted values of heat load and electric load for each scenario mode on the day-ahead, using the day-ahead dispatch output model, obtaining the day-ahead dispatch plan for each scenario mode; The dispatch plan includes the start-stop state and output of the combined heat and power unit, the output of the wind turbine unit, and the load dispatch volume of the heat storage electric boiler; Based on the day-ahead dispatch plan for each scenario mode and the predicted values of wind power, heat load adjustment amount, and electric load adjustment amount in the future intra-day, adopting the intra-day dispatch output model, obtaining the future intra-day dispatch plan for each scenario mode; According to the future intra-day dispatch plan for each scenario mode and the predicted value of wind power load in the future period, using the real-time dispatch model, obtaining the real-time load dispatch volume of the heat storage electric boiler for each scenario mode; The day-ahead dispatch output model includes: a first objective function and a first constraint condition with the goal of minimizing the system dispatch operation cost; The first objective function is In the formula, F1 is the system dispatching operation cost, t and T1 are respectively one time period of the dispatching cycle and the total number of time periods in the day-ahead dispatching stage, C CHP is the combustion cost of the combined heat and power unit, S i is the start-up cost coefficient of thermal power unit i, u i,t-1 and u i,t are the state variables of thermal power unit i at time periods t-1 and t, is the steam cost of thermal power unit i at time period t, is the steam production cost of thermal power unit i at time period t, is the steam transportation cost of thermal power unit i at time period t, N is the number of thermal power units, C w is the unit cost of wind curtailment, is the wind curtailment capacity at time period t, C FL is the incentive-based flexible load represented by the load of the heat storage electric boiler, C XJ,t 、 are respectively the unit compensation standard and the actual response volume of the flexible load; The first constraint condition includes network power balance constraint, unit operation constraint, heat storage electric boiler operation constraint, wind power generation constraint, and user comfort constraint; The network power balance constraint is and where C r {·} is the confidence expression, P G ,i,t is the output of thermal power unit i at time t, P w,t is the wind power output at time t, is the actual time period load, α is the confidence level of the power balance constraint, R is the number of wind turbines, H CHP,j,t is the heating power of wind turbine j, H EB,t is the boiler heating power at time t, H HS,t is the heat absorption and release power of the heat storage pipe at time t; H LD,t is the heat load at time t; The unit operation constraint includes unit output constraint, unit ramp constraint, and unit start-stop constraint; The output constraint of the unit is P G,i,min ≤P G,i,t ≤P G,i,max ; where P G,i,min is the minimum output of thermal power unit i, and P G,i,max is the maximum output of thermal power unit i; The ramp constraint of the unit is -R G,i,down ≤P G,i,t -P G,i,t-1 ≤R G,i,up ; R G,i,down 、R G,i,up are the upward and downward ramp power of thermal power unit i at time t, respectively, and P G,i,t-1 is the output of thermal power unit i at time t-1; The unit start-stop constraint is u i,t+v-1 and u i,t+v are the state variables of thermal power unit i at the time periods of t + v - 1 and t + v respectively, where T on and T off are the minimum continuous start-up and shutdown times respectively; The heat storage electric boiler operation constraint includes electric boiler electric power constraint and heat storage device operation constraint; The electric boiler's electric power constraint is where P EB,t is the electric power of the electric boiler at time period t, and is the maximum electric power of the electric boiler; The operating constraints of the heat storage device are where η ah is the electrothermal conversion efficiency of the electric boiler, H in,t , H out,t and H loss are the heat release power, heat absorption power and heat loss power of the heat storage device respectively, H load,t , H trans,t are the heat load of the electric boiler and the power transmitted to the load during the time period t respectively, S h,t+1 , S h,t are the heat storage amounts of the heat storage device at time t + 1 and t respectively, and Δt is the time interval; The wind power generation constraint is In the formula,[[]]END]] is the upper limit of wind power generation at time t; The user comfort constraint includes temperature comfort constraint and power consumption comfort constraint; The temperature comfort constraint is In the formula,[[]] is the indoor temperature at time t, P t tl is the thermal power provided by the combined heat and power unit and the electro-thermal storage boiler to users during heating, ΔA is the change in indoor temperature, ρ air is the specific heat capacity of air, R is the derivative of the thermal resistance of building materials; A max 、A min are the upper and lower values of the indoor temperature respectively; The electricity consumption comfort constraint is where λ t,m , λ t-1,m are the start-stop states of the flexible load m in time periods t and t - 1 respectively, and λ t-k is the start-stop state of the flexible load m in time period t - k. E, s, and e are the minimum operating time of the flexible load and the start and end times of the schedulable time period respectively, is the power of the flexible load m in time period t, and P elcurt,max is the upper limit of the power of the flexible load; The intra-day dispatch output model includes: a second objective function and a second constraint condition with the goal of minimizing the sum of coal consumption cost, wind power abandonment cost, and flexible load dispatch cost; The second objective function is In the formula, F2 is the sum of the coal consumption cost, the wind curtailment cost, and the flexible load scheduling cost, and T2 is the total number of time periods in the intraday scheduling stage; The second constraint condition includes a first system power balance constraint, a first heat storage electric boiler load constraint, a first wind power abandonment constraint, unit output constraint, and unit ramp constraint; The first system power balance constraint is where R and M are the numbers of combined heat and power units and wind turbines respectively, and P CHP,g,t is the power of combined heat and power unit g at time period t, and P w,j,t is the power of wind turbine j at time period t, and P LD,t , P ED,t are the electrical and heat loads of the system at time period t respectively; The load constraint of the first electric boiler with thermal energy storage is In the formula,[[]]END]] respectively represent the minimum and maximum power that can be curtailed within a day with the load of the electric boiler with thermal energy storage as the representative, and P st,2h is the power that can be curtailed within a day with the load of the electric boiler with thermal energy storage as the representative; The first wind curtailment constraint is In the formula, P w,2h is the wind power generation within a 2-hour period, is the upper limit of wind power generation within a 2-hour period; The real-time dispatch model includes: a third objective function and a third constraint condition with the goal of minimizing the sum of wind power abandonment cost and heat storage electric boiler load dispatch cost; The third objective function is where F3 is the sum of the curtailment cost and the load scheduling cost of the electric boiler with thermal energy storage, and T3 is the total number of time periods in the real-time scheduling stage; The third constraint condition includes a second system power balance constraint, a second heat storage electric boiler load constraint, and a second wind power abandonment constraint; The power balance constraint of the second system is The load constraint of the second heat storage electric boiler is In the formula are respectively the minimum and maximum real-time adjustable powers represented by the load of the heat storage electric boiler; P st,15min is the real-time adjustable power represented by the load of the heat storage electric boiler; The second wind curtailment constraint is In the formula,[[]]END]] is the upper limit of wind power generation within a 15-minute period, and P w,15min is the wind power generation within a 15-minute period.

2. A multi-time-scale optimal scheduling system for implicit thermal power boiler load, characterized in that The system includes: A model construction module for respectively constructing a day-ahead dispatch output model, an intra-day dispatch output model, and a real-time dispatch model under the condition that the load of the heat storage electric boiler participates in the active power dispatch of the power grid; A scenario configuration module for configuring a variety of scenario modes and obtaining the predicted values of heat load and electric load for each scenario mode on the day-ahead; The variety of the scenario modes includes the scenario of sufficient power generation of the generator set, the scenario of insufficient power generation of the generator set, the early winter scenario, and the deep winter scenario; A day-ahead scheduling plan acquisition module, which is used to obtain the day-ahead scheduling plan for each scenario mode according to the day-ahead heat load prediction value and electricity load prediction value in each scenario mode and by using the day-ahead scheduling output model; the scheduling plan includes the start-stop state and output of the combined heat and power unit, the output of the wind turbine, and the load scheduling amount of the heat storage electric boiler; An intra-day scheduling plan acquisition module, which is used to obtain the future intra-day scheduling plan for each scenario mode according to the day-ahead scheduling plan in each scenario mode and the future intra-day wind power prediction value, heat load adjustment amount, and electricity load adjustment amount, and by using the intra-day scheduling output model; A real-time heat storage electric boiler load scheduling amount acquisition module, which is used to obtain the real-time heat storage electric boiler load scheduling amount for each scenario mode according to the future intra-day scheduling plan in each scenario mode and the future-period wind power load prediction value, and by using the real-time scheduling model; The day-ahead scheduling output model includes: a first objective function and a first constraint condition aiming at minimizing the system scheduling operation cost; The first objective function is where F1 is the system dispatching operation cost, t and T1 are one time period of the dispatching cycle and the total number of time periods in the day-ahead dispatching stage respectively, C CHP is the combustion cost of the combined heat and power unit, S i is the start-up cost coefficient of thermal power unit i, u i,t-1 and u i,t are the state variables of thermal power unit i at time periods t - 1 and t, is the steam cost of thermal power unit i at time period t, is the steam production cost of thermal power unit i at time period t, is the steam transportation cost of thermal power unit i at time period t, N is the number of thermal power units, C w is the unit curtailment cost of wind power, is the wind power curtailment capacity at time period t, C FL is the incentive-type flexible load represented by the charge of the heat storage electric boiler, C XJ,t , are the unit compensation standard and the actual response volume of the flexible load respectively; The first constraint condition includes network power balance constraint, unit operation constraint, heat storage electric boiler operation constraint, wind power generation constraint, and user comfort constraint; The network power balance constraint is and where C r {·} is the confidence expression, P G ,i,t is the output of thermal power unit i at time t, P w,t is the wind power output at time t, is the actual time period load, α is the confidence level of the power balance constraint, R is the number of wind turbines, H CHP,j,t is the heating power of wind turbine j, H EB,t is the boiler heating power at time t, H HS,t is the heat absorption and release power of the heat storage pipe at time t; H LD,t is the heat load at time t; The unit operation constraint includes unit output constraint, unit ramp constraint, and unit start-stop constraint; The output constraint of the unit is P G,i,min ≤P G,i,t ≤P G,i,max ; where P G,i,min is the minimum output of thermal power unit i, and P G,i,max is the maximum output of thermal power unit i; The ramp constraint of the unit is -R G,i,down ≤P G,i,t -P G,i,t-1 ≤R G,i,up ; R G,i,down 、R G,i,up are the upward and downward ramp powers of thermal power unit i at time t, respectively, and P G,i,t-1 is the output of thermal power unit i at time t-1; The unit start-stop constraint is u i,t+v-1 and u i,t+v are the state variables of thermal power unit i at the t + v - 1 and t + v time periods, respectively. T on and T off are the minimum continuous start-up and shutdown times, respectively; The heat storage electric boiler operation constraint includes electric boiler electric power constraint and heat storage device operation constraint; The electric boiler's electric power constraint is where P EB,t is the electric power of the electric boiler at time period t, and is the maximum electric power of the electric boiler; The operating constraints of the heat storage device are where η ah is the electro-thermal conversion efficiency of the electric boiler, and H in,t , H out,t and H loss are the heat release power, heat absorption power and heat loss power of the heat storage device respectively, H load,t , H trans,t are the heat load of the electric boiler and the power transmitted to the load during the t period respectively, S h,t+1 , S h,t are the heat storage amounts of the heat storage device at the (t + 1)th and tth periods respectively, and Δt is the time interval; The wind power generation constraint is In the formula,[[]]END]] is the upper limit of wind power generation at time t; The user comfort constraint includes temperature comfort constraint and electricity use comfort constraint; The temperature comfort constraint is In the formula,[[]]END]] is the indoor temperature at time t, P t tl is the thermal power provided by the combined heat and power unit and the electro-thermal storage boiler to users during heating, ΔA is the change in indoor temperature, ρ air is the specific heat capacity of air, R is the derivative of the thermal resistance of building materials; A max and A min are the upper and lower limits of the indoor temperature respectively; The electricity consumption comfort constraint is where λ t,m , λ t-1,m are the start-stop states of the flexible load m in time periods t and t-1 respectively, and λ t-k is the start-stop state of the flexible load m in time period t-k. E, s, and e are the minimum operating time of the flexible load and the start and end times of the schedulable period respectively, is the power of the flexible load m in time period t, and P elcurt,max is the upper limit of the power of the flexible load; The intra-day scheduling output model includes: a second objective function and a second constraint condition aiming at minimizing the sum of coal consumption cost, wind curtailment cost, and flexible load scheduling cost; The second objective function is where F2 is the sum of the coal consumption cost, the curtailment cost of wind power, and the flexible load scheduling cost, and T2 is the total number of time periods in the intraday scheduling stage; The second constraint condition includes a first system power balance constraint, a first heat storage electric boiler load constraint, a first wind curtailment constraint, unit output constraint, and unit ramp constraint; The first system power balance constraint is where R and M are the numbers of combined heat and power units and wind turbines respectively, P CHP,g,t is the power of the combined heat and power unit g at time t, P w,j,t is the power of the wind turbine j at time t, P LD,t , P ED,t are the electrical and heat loads of the system at time t respectively; The first electric storage boiler load constraint is In the formula are respectively the minimum and maximum power that can be shaved within a day represented by the electric storage boiler load, and P st,2h is the power that can be shaved within a day represented by the electric storage boiler load; The first curtailment constraint is In the formula, P w,2h is the wind power generation within a 2-hour period, is the upper limit of wind power generation within a 2-hour period; The real-time scheduling model includes: a third objective function and a third constraint condition aiming at minimizing the sum of wind curtailment cost and heat storage electric boiler load scheduling cost; The third objective function is In the formula, F3 is the sum of the curtailment cost and the load scheduling cost of the electric boiler with thermal energy storage, and T3 is the total number of time periods in the real-time scheduling stage; The third constraint condition includes a second system power balance constraint, a second heat storage electric boiler load constraint, and a second wind curtailment constraint; The second system power balance constraint is The second heat storage electric boiler load constraint is In the formula,[[]]END]] are respectively the minimum and maximum real-time adjustable powers represented by the heat storage electric boiler load; P st,15min is the real-time adjustable power represented by the heat storage electric boiler load; The second wind curtailment constraint is In the formula,[[]] is the upper limit of wind power generation within a 15-minute period, and P w,15min is the wind power generation within a 15-minute period.

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