Dispatching method and device for power supply station of wind-solar-thermal integrated industrial park

Abstract

The application provides a wind-solar-thermal integrated industrial park power supply station scheduling method and device, and relates to the technical field of power systems. The wind-solar-thermal integrated industrial park power supply station scheduling method comprises the following steps: determining the power feasible region of a target power supply station at a next scheduling time according to the active feasible region and the reactive feasible region of a thermal power unit at the next scheduling time, the active feasible region and the reactive feasible region of a wind turbine unit at the next scheduling time, and the active feasible region and the reactive feasible region of a photovoltaic unit at the next scheduling time; and reporting the power feasible region of the target power supply station at the next scheduling time to a scheduling system of the target power supply station. The application can efficiently and accurately estimate the power feasible region of the wind-solar-thermal integrated industrial park power supply station at a given scheduling time scale, and then schedule the wind-solar-thermal integrated industrial park power supply station based on the power feasible region of the wind-solar-thermal integrated industrial park power supply station.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, and particularly relates to a scheduling method and device for a wind-solar-thermal integrated industrial park power station. BACKGROUND

[0002] In a modern power system, an industrial park is an important energy consumption and distributed energy integration unit, and energy management and dispatch optimization thereof is crucial for achieving supply-demand balance of the entire power system. A power station of a wind-solar-thermal integrated industrial park usually contains multiple types of power sources, such as new energy generation (wind, solar, etc.), thermal power units, etc., which are different in output characteristics, regulation capacity and operation constraints. In order to respond to the overall dispatching demand of an external grid dispatching department, the industrial park needs to economically coordinate the output of each power source internally and transmit active and reactive power to the grid through a coupling point. In this process, accurately depicting the overall time-series power feasible region of the industrial park is a key to meeting the supply-demand balance, optimizing energy allocation and improving system operation efficiency.

[0003] However, the diversity of power source types and the uncertainty of new energy generation in the power station of the wind-solar-thermal integrated industrial park pose challenges to the depiction of the overall feasible region. In particular, with a high proportion of new energy access, its volatility is large, and thermal power units need to adjust through rapid load variation to suppress fluctuations and reduce energy abandonment when new energy output is high. After technical transformation, although the regulation capacity of the thermal power unit is enhanced, its rapid load variation characteristics also lead to changes in the feasible region and coal consumption characteristics. In addition, in different time intervals, due to the influence of the performance of the unit itself, the climbing ability and operation feasible region of the thermal power unit also present different characteristics.

[0004] Therefore, how to efficiently and accurately estimate the power feasible region of the power station of the wind-solar-thermal integrated industrial park under a given dispatching time scale, and schedule the power station of the wind-solar-thermal integrated industrial park based on the power feasible region of the power station of the wind-solar-thermal integrated industrial park, is a technical problem to be solved. SUMMARY

[0005] In view of the above problems in the prior art, the present application provides a scheduling method and device for a wind-solar-thermal integrated industrial park power station, to efficiently and accurately estimate the power feasible region of the power station of the wind-solar-thermal integrated industrial park under a given dispatching time scale, and schedule the power station of the wind-solar-thermal integrated industrial park based on the power feasible region of the power station of the wind-solar-thermal integrated industrial park.

[0006] The present application provides a scheduling method for a wind-solar-thermal integrated industrial park power station, comprising the following steps.

[0007] According to the output range and climbing ability of the thermal power unit of the target power supply station at the current time, the active feasible region of the thermal power unit at the next dispatching time is determined, and according to the electrical operating characteristic parameters of the thermal power unit, the reactive feasible region of the thermal power unit at the next dispatching time is determined; wherein the dispatching duration is the time difference between the next dispatching time and the current time, and the target power supply station is the power supply station of a wind-solar-thermal integrated industrial park; according to the maximum available output and minimum utilization rate of the wind turbine unit of the target power supply station at the next dispatching time, the active feasible region of the wind turbine unit at the next dispatching time is determined, and according to the active feasible region of the wind turbine unit at the next dispatching time, the electrical operating characteristic parameters of the wind turbine body and the capacity of the grid-side converter, the reactive feasible region of the wind turbine at the next dispatching time is determined; according to the maximum available output and minimum utilization rate of the photovoltaic unit of the target power supply station at the next dispatching time, the active feasible region of the photovoltaic unit at the next dispatching time is determined, and according to the active feasible region of the photovoltaic unit at the next dispatching time and the capacity of the photovoltaic inverter in the photovoltaic unit, the reactive feasible region of the photovoltaic unit at the next dispatching time is determined; according to the active feasible region and the reactive feasible region of the thermal power unit at the next dispatching time, the active feasible region and the reactive feasible region of the wind turbine unit at the next dispatching time, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next dispatching time, the power feasible region of the target power supply station at the next dispatching time is determined; the power feasible region of the target power supply station at the next dispatching time is reported to the dispatching system of the target power supply station; the dispatching power of the target power supply station is received from the dispatching system, so that the target power supply station dispatches the combined output of the thermal power unit, the wind turbine unit and the photovoltaic unit according to the dispatching power; wherein the dispatching power is obtained by the dispatching system based on the power feasible region of each of a plurality of power supply stations including the target power supply station at the next dispatching time.

[0008] According to the wind, light and fire integrated industrial park power station scheduling method provided by the application, the scheduling duration is less than a first duration threshold; wherein the first duration threshold is the difference between the minimum output of the thermal power unit in the conventional peak regulation state and the minimum output in the deep peak regulation state, and the ratio between the second maximum ramp rate and the second maximum ramp rate, the second maximum ramp rate being the maximum ramp rate of the thermal power unit in the deep peak regulation state; for the scheduling duration, the active feasible region of the thermal power unit at the next scheduling time is determined according to the output range and the ramping capacity of the thermal power unit of the target power station at the current time; when the output range of the thermal power unit at the current time is within the first output range, the active feasible region of the thermal power unit at the next scheduling time is determined as the first active feasible region; wherein the first output range has the maximum output of the thermal power unit as the upper boundary, and the maximum output of the thermal power unit minus the product of the first maximum ramp rate and the scheduling duration as the lower boundary, the first maximum ramp rate being the maximum ramp rate of the thermal power unit in the conventional peak regulation state; the first active feasible region has the output of the thermal power unit at the current time minus the product of the first maximum ramp rate and the scheduling duration as the lower boundary, and the output of the thermal power unit at the current time plus the product of the first maximum ramp rate and the scheduling duration as the upper boundary; when the output range of the thermal power unit at the current time is within the second output range, the active feasible region of the thermal power unit at the next scheduling time is determined as the second active feasible region; wherein the second output range has the maximum output of the thermal power unit minus the product of the first maximum ramp rate and the scheduling duration as the upper boundary, and the minimum output of the thermal power unit in the conventional peak regulation state minus the product of the second maximum ramp rate and the scheduling duration as the lower boundary, the second maximum ramp rate being the maximum ramp rate of the thermal power unit in the deep peak regulation state; the second active feasible region is the range formed by the upper boundary value and the lower boundary value of the output that the thermal power unit can reach after the scheduling duration under the constraints of the first maximum ramp rate and the second maximum ramp rate; when the output range of the thermal power unit at the current time is within the third output range, the active feasible region of the thermal power unit at the next scheduling time is determined as the third active feasible region; wherein the third output range has the minimum output of the thermal power unit in the conventional peak regulation state as the upper boundary, and the minimum output of the thermal power unit in the conventional peak regulation state minus the product of the second maximum ramp rate and the scheduling duration as the lower boundary; the third active feasible region has the output of the thermal power unit at the current time minus the product of the second maximum ramp rate and the scheduling duration as the lower boundary, and the output of the thermal power unit at the current time plus the product of the second maximum ramp rate and the scheduling duration as the upper boundary; wherein the output of the thermal power unit at the current time satisfies the output constraint range.The output constraint range has the maximum output of the thermal power generating unit as an upper boundary and has the minimum value of the thermal power generating unit in a deep peak regulation state as a lower boundary.

[0009] According to the method for scheduling the power supply station of the wind-solar-thermal integrated industrial park, the scheduling duration is greater than the first duration threshold and less than a second duration threshold, the second duration threshold is a difference between the maximum output of the thermal power generating unit and the minimum output of the thermal power generating unit in a regular peak regulation state divided by the first maximum ramp rate, and the active feasible region of the thermal power generating unit at the next scheduling moment is determined according to the output range and the ramping capacity of the thermal power generating unit of the target power supply station at the current moment.

[0010] According to the method for scheduling the power supply station of the wind-solar-thermal integrated industrial park, the scheduling duration is greater than the second duration threshold and less than a third duration threshold, and the third duration threshold is represented by the following formula: Wherein, Δt is the scheduling duration; Pmax is the maximum output of the thermal power generating unit; Pmax1 is the first maximum ramp rate; Pmax2 is the second maximum ramp rate; Pmin is the minimum output of the thermal power generating unit in a deep peak regulation state; Pmin1 is the minimum output of the thermal power generating unit in a regular peak regulation state; and the active feasible region of the thermal power generating unit at the next scheduling moment is determined according to the output range and the ramping capacity of the thermal power generating unit of the target power supply station at the current moment.

[0011] According to the method for scheduling the power supply station of the wind-solar-thermal integrated industrial park, the scheduling duration is greater than the third duration threshold; and the active feasible region of the thermal power generating unit at the next scheduling moment is determined according to the output range and the ramping capacity of the thermal power generating unit of the target power supply station at the current moment, and the active feasible region of the thermal power generating unit at the next scheduling moment has the maximum output of the thermal power generating unit as an upper boundary and has the minimum value of the thermal power generating unit in a deep peak regulation state as a lower boundary.

[0012] According to the power supply station scheduling method of the wind-solar-thermal integrated industrial park provided by the application, the reactive power feasible region of the thermal power unit at the next scheduling time is determined according to the electrical operating characteristic parameters of the thermal power unit, and the method comprises the following steps: according to the maximum stator current of the thermal power unit and the terminal voltage of the thermal power unit, the stator heat generation operating limit constraint of the thermal power unit is established, and the first reactive power capability boundary of the thermal power unit in the delay phase operation is obtained; according to the terminal voltage of the thermal power unit, the synchronous reactance of the generator and the external equivalent reactance, the second reactive power capability boundary of the thermal power unit in the advance phase operation is obtained; and according to the first reactive power capability boundary and the second reactive power capability boundary, the reactive power feasible region of the thermal power unit at the next scheduling time is determined.

[0013] According to the power supply station scheduling method of the wind-solar-thermal integrated industrial park provided by the application, the reactive power feasible region of the thermal power unit at the next scheduling time is determined according to the electrical operating characteristic parameters of the thermal power unit, and the method comprises the following steps: according to the maximum stator current of the thermal power unit and the terminal voltage of the thermal power unit, the stator heat generation operating limit constraint of the thermal power unit is established, and the first reactive power capability boundary of the thermal power unit in the delay phase operation is obtained; according to the terminal voltage of the thermal power unit, the synchronous reactance of the generator and the external equivalent reactance, the second reactive power capability boundary of the thermal power unit in the advance phase operation is obtained; and according to the first reactive power capability boundary and the second reactive power capability boundary, the reactive power feasible region of the thermal power unit at the next scheduling time is determined.

[0014] The application further provides a power supply station scheduling device of a wind-solar-thermal integrated industrial park, comprising the following modules.

[0015] The first determining module is configured to determine, for a scheduling time length, an active feasible region of a thermal power unit of a target power station at a next scheduling time according to an output range and a ramping capability of the thermal power unit at a current time, and determine a reactive feasible region of the thermal power unit at the next scheduling time according to an electrical operating characteristic parameter of the thermal power unit; the scheduling time length is a time difference between the next scheduling time and the current time, and the target power station is a power station of a wind-solar-thermal integrated industrial park; the second determining module is configured to determine, according to a maximum available output and a minimum utilization rate of a wind turbine unit of the target power station at the next scheduling time, an active feasible region of the wind turbine unit at the next scheduling time, and determine, according to the active feasible region of the wind turbine unit at the next scheduling time, an electrical operating characteristic parameter of the wind turbine body and a capacity of a grid-side converter, a reactive feasible region of the wind turbine at the next scheduling time; the third determining module is configured to determine, according to a maximum available output and a minimum utilization rate of a photovoltaic unit of the target power station at the next scheduling time, an active feasible region of the photovoltaic unit at the next scheduling time, and determine, according to the active feasible region of the photovoltaic unit at the next scheduling time and a capacity of a photovoltaic inverter in the photovoltaic unit, a reactive feasible region of the photovoltaic unit at the next scheduling time; the fourth determining module is configured to determine, according to the active feasible region and the reactive feasible region of the thermal power unit at the next scheduling time, the active feasible region and the reactive feasible region of the wind turbine unit at the next scheduling time, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling time, a power feasible region of the target power station at the next scheduling time; the reporting module is configured to report, to a dispatching system of the target power station, the power feasible region of the target power station at the next scheduling time; and the dispatching module is configured to receive, from the dispatching system, a dispatching power of the target power station, so that the target power station dispatches the thermal power unit, the wind turbine unit and the photovoltaic unit to jointly output power according to the dispatching power; the dispatching power is obtained by the dispatching system based on a power flow calculation of power feasible regions of a plurality of power stations including the target power station at the next scheduling time.

[0016] The application further provides an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the method for dispatching the power station of the wind-solar-thermal integrated industrial park according to any of the above when executing the computer program.

[0017] The application further provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the method for dispatching the power station of the wind-solar-thermal integrated industrial park according to any of the above.

[0018] The application further provides a computer program product comprising a computer program which, when executed by a processor, implements the scheduling method of the wind-solar-thermal integrated industrial park power station.

[0019] The application provides a wind-solar-thermal integrated industrial park power station scheduling method and device, which determines the active feasible region of a thermal power unit of a target power station at a next scheduling time according to the output range and ramping capability of the thermal power unit at a current time, determines the active feasible region of a wind turbine unit of the target power station at the next scheduling time according to the maximum available output and minimum utilization rate of wind power at the next scheduling time, determines the reactive feasible region of the wind turbine at the next scheduling time according to the active feasible region of the wind turbine unit at the next scheduling time, the electrical operating characteristic parameters of the wind turbine body and the capacity of the grid-side converter, determines the active feasible region of a photovoltaic unit of the target power station at the next scheduling time according to the maximum available output and minimum utilization rate of the photovoltaic unit at the next scheduling time, determines the reactive feasible region of the photovoltaic unit at the next scheduling time according to the active feasible region of the photovoltaic unit at the next scheduling time and the capacity of the photovoltaic inverter in the photovoltaic unit, and determines the power feasible region of the target power station at the next scheduling time according to the active feasible region and reactive feasible region of the thermal power unit at the next scheduling time, the active feasible region and reactive feasible region of the wind turbine unit at the next scheduling time, and the active feasible region and reactive feasible region of the photovoltaic unit at the next scheduling time. Since the ramping capability constraint of the thermal power unit under variable load is considered, the accurate and executable active feasible region of the thermal power unit at the next scheduling time can be obtained. Since the time sequence operating state and physical characteristics of different power sources are considered, the active and reactive feasible regions of the power source aggregation in the wind-solar-thermal integrated industrial park under a given scheduling time scale are more accurately depicted, the accuracy of the optimal operation of the industrial park is improved, and efficient interaction between the wind-solar-thermal integrated industrial park and the power grid connected thereto is realized. Thus, the power feasible region of the power station of the wind-solar-thermal integrated industrial park under a given scheduling time scale is efficiently and accurately estimated, and the power station of the wind-solar-thermal integrated industrial park is scheduled based on the power feasible region of the power station of the wind-solar-thermal integrated industrial park. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the application or the prior art, the following will briefly introduce the drawings needed in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without any creative effort.

[0021] Figure 1 is a flowchart of the wind-solar-thermal integrated industrial park power station scheduling method provided by the application.

[0022] Figure 2 is a flowchart of the method for determining the power feasible region of the thermal power unit provided by the application.

[0023] Figure 3 is a flowchart of the method for determining the power feasible region of the fan unit provided by the application.

[0024] Figure 4 is a flowchart of the method for determining the power feasible region of the photovoltaic unit provided by the application.

[0025] Figure 5 is the power grid structure diagram of the power supply station of the wind-solar-thermal integrated industrial park provided by the application.

[0026] Figure 6 is the time sequence power feasible region diagram of the power supply station of the wind-solar-thermal integrated industrial park provided by the application.

[0027] Figure 7 is the active power feasible region diagram of the adjacent time corresponding to different scheduling lengths of a certain thermal power unit provided by the application.

[0028] Figure 8 is the active and reactive power feasible region diagram of the whole thermal power unit provided by the application.

[0029] Figure 9 is the actual operation data diagram of a large thermal power unit per minute in a year.

[0030] Figure 10 is the active power feasible region diagram of the adjacent time of the fan unit provided by the application.

[0031] Figure 11 is the active and reactive power feasible region diagram of the whole fan unit provided by the application.

[0032] Figure 12 is the active and reactive power feasible region diagram of the whole photovoltaic unit provided by the application.

[0033] Figure 13 is the structure diagram of the scheduling device of the power supply station of the wind-solar-thermal integrated industrial park provided by the application.

[0034] Figure 14 is the structure diagram of the electronic device provided by the application. DETAILED DESCRIPTION

[0035] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application. Obviously, the described embodiments are some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0036] The time sequence power feasible region refers to the range or limit of active and reactive power output that can be achieved by each power source within the power system or industrial park under the condition of meeting various physical constraints and safe operation conditions within a given time sequence or scheduling period. This feasible region changes with time, reflecting the output capacity and limitations of the power source in different time periods.

[0037] The time sequence power feasible region of the fan unit, photovoltaic unit and thermal power unit of the power source station of the wind-solar-thermal integrated industrial park is as shown in Figure 6 The purpose of determining this feasible region is to enable the industrial park to accurately provide the upper and lower limits of the overall active and reactive power output of the aggregated power source to the dispatching department, so that the dispatching department can perform power flow calculation based on these upper and lower limits and determine the overall dispatching power of the industrial park. Based on the time sequence power feasible region, the power source station of the industrial park and the large power grid can be decoupled for operation, which not only simplifies the process of the dispatching department to calculate power flow and determine power generation power demand, but also promotes the collaborative work of different power sources in the industrial park, thereby improving the economy and efficiency. Therefore, when establishing the time sequence power feasible region of the power source station of the industrial park, the active and reactive power output regulation capability constraints and time sequence operation constraints of the internal power sources need to be considered comprehensively to ensure that the overall dispatching power demand can be reliably met through output regulation.

[0038] In the embodiments provided by the present application, the overall power of the industrial park at time t is the sum of the active and reactive power outputs of each power source inside the industrial park. The feasible region of the industrial park at time t+1 is the overall active and reactive power range upper and lower limits obtained by aggregating and calculating the output at time t, the ramping constraint, the output range constraint of the internal power sources of the industrial park, and the new energy predicted output at time t+1, the regulation range constraint. The overall dispatching power demand of the industrial park at time t+1 is obtained by the power grid dispatching department according to the feasible region and the load demand, the power flow constraint calculation.

[0039] The dispatching method of the wind-solar-thermal integrated industrial park power source station of the present application will be described below. Figures 1-12

[0040] Figure 1 ​is a flowchart of a dispatching method of a wind-solar-fire integrated industrial park power supply station provided by the present application, as shown in Figure 1 The method comprises the following steps:

[0041] Step 101, for a dispatching duration, determining the active feasible region of a thermal power unit of a target power supply station at a next dispatching time according to the output range and climbing ability of the thermal power unit at a current time, and determining the reactive feasible region of the thermal power unit at the next dispatching time according to the electrical operating characteristic parameters of the thermal power unit.

[0042] The dispatching duration is the time difference between the next dispatching time and the current time.

[0043] The target power supply station is a wind-solar-fire integrated industrial park power supply station to be dispatched. The wind-solar-fire integrated industrial park refers to a comprehensive energy system integrating wind power, solar power and thermal power generation in a specific industrial park. This park optimizes the generation, transmission, distribution and energy storage of various energy sources, realizes clean, efficient and stable energy supply, and promotes the sustainable development of the industrial park.

[0044] For the specific embodiments of determining the active feasible region of the thermal power unit of the target power supply station at the next dispatching time according to the output range and climbing ability of the thermal power unit at the current time, and determining the reactive feasible region of the thermal power unit at the next dispatching time according to the electrical operating characteristic parameters of the thermal power unit, see the related contents in Figure 2 , which will not be repeated here.

[0045] Step 102, determining the active feasible region of a wind turbine unit of the target power supply station at the next dispatching time according to the maximum available output and minimum utilization rate of wind power at the next dispatching time, and determining the reactive feasible region of the wind turbine at the next dispatching time according to the active feasible region of the wind turbine unit at the next dispatching time, the electrical operating characteristic parameters of the wind turbine body and the capacity of the grid-side converter.

[0046] For the specific embodiments of this step, see the related contents in Figure 3 , which will not be repeated here.

[0047] Step 103, determining the active feasible region of a photovoltaic unit of the target power supply station at the next dispatching time according to the maximum available output and minimum utilization rate of photovoltaic power at the next dispatching time, and determining the reactive feasible region of the photovoltaic unit at the next dispatching time according to the active feasible region of the photovoltaic unit at the next dispatching time and the capacity of the photovoltaic inverter in the photovoltaic unit.

[0048] For the specific embodiments of this step, see the related contents in Figure 4 , which will not be repeated here.

[0049] Step 104, according to the active feasible region and the reactive feasible region of the thermal power unit at the next scheduling time, the active feasible region and the reactive feasible region of the fan unit at the next scheduling time, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling time, determine the power feasible region of the target power source field at the next scheduling time.

[0050] In the specific implementation process, according to the upper limit value of the active feasible region of the thermal power unit at the next scheduling time, the upper limit value of the active feasible region of the fan unit at the next scheduling time, and the upper limit value of the active feasible region of the photovoltaic unit at the next scheduling time, the upper limit value of the active feasible region of the target power source field at the next scheduling time is determined.

[0051] In the specific implementation process, according to the lower limit value of the active feasible region of the thermal power unit at the next scheduling time, the lower limit value of the active feasible region of the fan unit at the next scheduling time, and the lower limit value of the active feasible region of the photovoltaic unit at the next scheduling time, the lower limit value of the active feasible region of the target power source field at the next scheduling time is determined.

[0052] In the specific implementation process, according to the upper limit value of the reactive feasible region of the thermal power unit at the next scheduling time, the upper limit value of the reactive feasible region of the fan unit at the next scheduling time, and the upper limit value of the reactive feasible region of the photovoltaic unit at the next scheduling time, the upper limit value of the reactive feasible region of the target power source field at the next scheduling time is determined.

[0053] In the specific implementation process, according to the lower limit value of the reactive feasible region of the thermal power unit at the next scheduling time, the lower limit value of the reactive feasible region of the fan unit at the next scheduling time, and the lower limit value of the reactive feasible region of the photovoltaic unit at the next scheduling time, the lower limit value of the reactive feasible region of the target power source field at the next scheduling time is determined.

[0054] In combination with formula (5) in step 204, formula (11) in step 304 and formula (14) in step 402, the power feasible region of the target power source field at the next scheduling time is is expressed as follows (for the convenience of description, t-1 represents the current time, and t represents the next scheduling time in the following formula):

[0055]

[0056] wherein, and is the active feasible region and the reactive feasible region of the target power source field at the next scheduling time.

[0057] For the next scheduling time, the active output of each power source is to be determined, the reactive power capability boundary of the power supply will be affected. Specifically, in the reactive power-active power relationship formula given by the present application, the reactive power-active power relationship is a decreasing function in the case of sending reactive power, and the reactive power-active power relationship is an increasing function in the case of absorbing reactive power. Therefore, when the active power output of the power supply is lower, the reactive power capability will be stronger, and the reactive power output range will be wider (i.e. more reactive power can be sent or absorbed). Therefore, the timing power feasible region of the target power supply station needs to consider the influence of the active power output of the power supply on the reactive power capability. Since the monotonicity of the function does not change after addition, the total reactive power capability boundary of the target power supply station decreases with the increase of the total active power. Considering the extreme case, when the active power output of each power supply is at the maximum value of the feasible region corresponding to the t time of the power supply, , the total reactive power capability boundary of the target power supply station should be the minimum, and vice versa, when the active power output of each power supply is at the minimum value of the feasible region corresponding to the t time, , the total reactive power capability boundary of the target power supply station is the maximum. From the perspective of actual operation, since the active power output of the target power supply station needs to be determined after the overall dispatching information is issued by the dispatching department, , at the same time, the economy related to the active power in the target power supply station is the focus of the operator, therefore, the present application considers that the reactive power part in the power feasible region provided by the target power supply station to the dispatching department should be conservative, , so as to ensure that the active power of each power supply in the industrial park has sufficient adjustment space:

[0058]

[0059] Since the target power supply station aggregates multiple power supplies, the reactive power capability support mode of wind power and photovoltaic power through the converter or inverter is diverse; wind power and photovoltaic power generally do not appear output peak at the same time, and when the output of wind power and photovoltaic power is high, the output of thermal power generally decreases to peak. In summary, under normal circumstances, the target power supply station can provide sufficient reactive power for the system through the grid point according to the conservative power feasible region.

[0060] Step 105, reporting the power feasible region of the target power supply station at the next dispatching time to the dispatching system of the target power supply station.

[0061] Step 106, receiving the dispatching power of the target power supply station from the dispatching system, so that the target power supply station dispatches the thermal power unit, the wind turbine unit and the photovoltaic unit to jointly output according to the dispatching power; wherein the dispatching power is obtained by the dispatching system based on the power feasible region of each power supply station at the next dispatching time.

[0062] In Figure 5The operation mode of the power supply station of the wind-solar-thermal integrated industrial park shown in the figure is that the wind-solar-thermal integrated industrial park accesses the power grid at the same grid-connected point. At this time, the power grid dispatching department no longer directly dispatches the power output of the internal power supply of the industrial park, but provides the overall dispatching power demand to the control center of the industrial park. In order to meet this demand, the control center of the industrial park needs to dispatch the internal power output under the premise of economic operation, and ensure that the sum of the power of each power supply reaches the overall dispatching power requirement. In order to assist the dispatching department to more accurately determine the overall dispatching power demand of each industrial park, the industrial park can use the embodiments provided by the present application to efficiently and accurately estimate the overall power feasible region of the power supply station of the wind-solar-thermal integrated industrial park under a given dispatching time scale, and submit the overall power feasible region estimated by it to the dispatching department. The dispatching department then determines the overall dispatching power demand of the power supply station of the wind-solar-thermal integrated industrial park through power flow calculation in combination with the overall power feasible region of the power supply station of the wind-solar-thermal integrated industrial park and the output constraints of other independent power supply stations.

[0063] Figure 2 is a flowchart of the method for determining the power feasible region of the thermal power unit provided by the present application, as shown in the figure, the method comprises the following steps. Figure 2

[0064] Step 201, for the dispatching duration, according to the output range and climbing ability of the thermal power unit of the target power supply station at the current time, determine the active feasible region of the thermal power unit at the next dispatching time.

[0065] Generally speaking, for a thermal power unit u with a maximum output of , when the active output of the unit at time t is higher than a certain threshold, it is said to be in a regular peak regulation (RPR) state, and the threshold is called the regular peak regulation minimum output, denoted as The thermal power unit is mainly in the regular peak regulation state when it is normally running, at which time the unit has good performance and efficiency. In order to enhance the ability of the thermal power unit to suppress new energy fluctuations, the output of the thermal power unit after technical transformation can be lower than the regular peak regulation minimum output threshold, and this operating state is called deep peak regulation (DPR) state. When the thermal power unit operates in the deep peak regulation state, the coal injection amount of the unit is reduced, and additional technical means are needed to maintain stable operation, which may cause increased loss and reduced performance. In order to ensure safe operation, the thermal power unit has a minimum output In summary, the overall output range of the thermal power unit is:

[0066]

[0067] ​In some embodiments, the scheduling duration is less than a first duration threshold; wherein the first duration threshold is a difference between a minimum output of the thermal power unit in a regular peak regulation state and a minimum output of the thermal power unit in a deep peak regulation state, and a ratio between the second maximum ramping rate and a second maximum ramping rate, the second maximum ramping rate being a maximum ramping rate of the thermal power unit in the deep peak regulation state.

[0068] In the present embodiment, the active feasible region of the thermal power unit at the next scheduling time can be determined according to the output range of the thermal power unit at the current time in the following manner.

[0069] When the output range of the thermal power unit at the current time is within a first output range, the active feasible region of the thermal power unit at the next scheduling time is determined as a first active feasible region.

[0070] The first output range has the maximum output of the thermal power unit as an upper boundary and the maximum output of the thermal power unit minus the product of the first maximum ramping rate and the scheduling duration as a lower boundary, the first maximum ramping rate being a maximum ramping rate of the thermal power unit in the regular peak regulation state; and the first active feasible region has the output of the thermal power unit at the current time minus the product of the first maximum ramping rate and the scheduling duration as a lower boundary and the output of the thermal power unit at the current time plus the product of the first maximum ramping rate and the scheduling duration as an upper boundary.

[0071] When the output range of the thermal power unit at the current time is within a second output range, the active feasible region of the thermal power unit at the next scheduling time is determined as a second active feasible region.

[0072] The second output range has the maximum output of the thermal power unit minus the product of the first maximum ramping rate and the scheduling duration as an upper boundary and the minimum output of the thermal power unit in the regular peak regulation state minus the product of the second maximum ramping rate and the scheduling duration as a lower boundary, the second maximum ramping rate being a maximum ramping rate of the thermal power unit in the deep peak regulation state; and the second active feasible region is a range constituted by an upper boundary and a lower boundary of the output of the thermal power unit after the scheduling duration when the thermal power unit is in the second output range and is subject to the constraints of the first maximum ramping rate and the second maximum ramping rate.

[0073] When the output range of the thermal power unit at the current time is within a third output range, the active feasible region of the thermal power unit at the next scheduling time is determined as a third active feasible region.

[0074] The third output range has the minimum output of the thermal power unit in the regular peak regulation state as an upper boundary and the minimum output of the thermal power unit in the regular peak regulation state minus the product of the second maximum ramping rate and the scheduling duration as a lower boundary; and the third active feasible region has the output of the thermal power unit at the current time minus the product of the second maximum ramping rate and the scheduling duration as a lower boundary and the output of the thermal power unit at the current time plus the product of the second maximum ramping rate and the scheduling duration as an upper boundary.

[0075] wherein the output of the thermal power unit at the current time satisfies an output constraint range; wherein the output constraint range has a maximum output of the thermal power unit as an upper boundary and a minimum value of the thermal power unit in a deep peak regulation state as a lower boundary, and is specifically shown as formula (1-1).

[0076] In some embodiments, the scheduling duration is greater than a first duration threshold and less than a second duration threshold; wherein the second duration threshold is a difference between the maximum output of the thermal power unit and the minimum output of the thermal power unit in a regular peak regulation state divided by the first maximum ramp rate.

[0077] In the present embodiment, the active feasible region of the thermal power unit at the next scheduling time can be determined according to the output range of the thermal power unit at the current time in the following manner.

[0078] When the output range of the thermal power unit at the current time is within the first output range, the active feasible region of the thermal power unit at the next scheduling time is determined as the first active feasible region.

[0079] When the output range of the thermal power unit at the current time is within the second output range, the active feasible region of the thermal power unit at the next scheduling time is determined as the second active feasible region.

[0080] wherein the third duration threshold is expressed by the following formula:

[0081]

[0082] wherein Δt is the scheduling duration; is the maximum output of the thermal power unit; is the first maximum ramp rate; is the second maximum ramp rate; is the minimum output of the thermal power unit in the deep peak regulation state; is the minimum output of the thermal power unit in the regular peak regulation state.

[0083] In the present embodiment, when the output range of the thermal power unit at the current time is within the second output range, the active feasible region of the thermal power unit at the next scheduling time is determined as the second active feasible region.

[0084] In some embodiments, the scheduling duration is greater than the third duration threshold.

[0085] In the present embodiment, the active feasible region of the thermal power unit at the next scheduling time can be determined according to the output range of the thermal power unit at the current time in the following manner.

[0086] The active feasible region of the thermal power unit at the next scheduling time has the maximum output of the thermal power unit as an upper boundary and the minimum value of the thermal power unit in the deep peak regulation state as a lower boundary.

[0087] According to the operation test in the existing research, the maximum ramp rate of the thermal power unit will decrease in the deep peak regulation state. The maximum ramp rate of the thermal power unit in the conventional peak regulation state and the deep peak regulation state is represented by the first maximum ramp rate and the second maximum ramp rate , and the unit is (MW / min). The characteristic that the thermal power unit has different ramp rates in different operation states is called the step ramp characteristic. The active feasible region of the thermal power unit at the current time t and the next scheduling time t+1 (the scheduling time length is Δt, and the unit is min for intuitive presentation of the results) is related to the step ramp characteristic, the output range of different states, and the selection of the time scale.

[0088] In the specific implementation process, the possible output of the thermal power unit at the current time (the minimum value in the deep peak regulation state to the maximum output) can be taken as the abscissa, and the possible output of the thermal power unit at the next scheduling time can be taken as the ordinate to establish the power feasible region coordinate system. Since the maximum output power that can be changed by the thermal power unit is the product of the maximum ramp rate and the scheduling time length, the feasible region marked in the power feasible region coordinate system is different when the scheduling time length is different. The longer the scheduling time length is, the larger the feasible region is. For example, when the scheduling time length is 0, the output of the thermal power unit at the current time and the next scheduling time is the same, and in the power feasible region coordinate system, it is a 45° diagonal line.

[0089] When the scheduling time length increases, for different scheduling time lengths and the maximum ramp rate (including the first maximum ramp rate and the second maximum ramp rate), the maximum output that can be increased and the minimum output that can be reduced of the thermal power unit at each possible output at the current time after the scheduling time length are calculated. Then the minimum value and the maximum value of the output that can be reached at the next scheduling time corresponding to each different output of the thermal power unit at the current time from small to large are marked in the power feasible region coordinate system, and the boundary of the power feasible region of the thermal power unit at the next scheduling time can be obtained (for example, in FIG. 1, the different frame lines surrounded by different colored curves), and the points within the boundary are the outputs that can be reached by the thermal power unit at the next scheduling time. Figure 7

[0090] Taking a thermal power unit of a 600 MW unit as an example, the output ranges corresponding to the conventional peak regulation state and the deep peak regulation state are and , that is , the first maximum ramp rate is , the second maximum ramp rate is , and the feasible regions of the thermal power unit under the time scales of the scheduling time length Δt of 15, 30, and 60 min are as follows: Figure 7 ​​As shown in the figure, since the maximum ramp rate in the deep peak-shaving state is lower than that in the conventional peak-shaving state, when Δt < 60 minutes, the feasible region of the thermal power unit exhibits a characteristic of being wide in the upper right and narrow in the lower left. When Δt = 15 minutes, the feasible region of the thermal power unit at adjacent moments exhibits a non-convex characteristic. Based on the parameters of this thermal power unit and the active power feasible region diagram, the mathematical model of the active power feasible region when Δt = 15 minutes can be expressed as follows:

[0091]

[0092] Among them, situation ① represents the current output of the thermal power unit When the output range of the thermal power unit is within the first output range, the output range of the thermal power unit at the next dispatching moment may only be in the conventional peak-shaving state, and the active power feasible region at the next dispatching moment is only affected by the first maximum ramp rate. constraint.

[0093] Case ② represents the current output of thermal power units When within the second output range, the output range of the thermal power unit at the next dispatching moment may cover the conventional peak-shaving and deep peak-shaving states, and the active power feasible domain at the next dispatching moment is also affected by the first maximum ramp rate. and the second maximum climbing rate constraints.

[0094] Case ③ represents the current output of the thermal power unit When in the third output range, the output range of the thermal power unit at the next dispatching moment may only be in the deep peak-shaving state, and the active power feasible domain at the next dispatching moment is only affected by the second maximum ramp rate. constraint.

[0095] The above-mentioned feasible domain model of active power generation unit is applicable to the case where the dispatching duration is less than the first duration threshold. situation, indicating Less than the active output range of thermal power units in deep peak regulation state

[0096] If the scheduling duration is greater than the first duration threshold and less than the second duration threshold, that is, at this time The active power output range of the thermal power unit is greater than the deep peak-shaving active power output range. In this case, the above situation ③ and related constraints should be deleted from the active power feasible domain model of the thermal power unit. Except for the overall output range constraint, only situations ① and ② should be retained.

[0097] If the scheduling duration is greater than the second duration threshold and less than the third duration threshold, that is, and at this time Greater than the conventional peak-shaving operating range of thermal power units At this time, the active power feasible region model of the thermal power unit should delete cases ① and ③ and related constraint conditions, and only keep case ② except for the overall output range constraint.

[0098] If the scheduling duration is greater than the third duration threshold, that is, At this time, the thermal power unit can adjust the output within the overall output range in the time Δt, and the active power feasible region model of the thermal power unit should delete cases ①, ② and ③ and related constraint conditions, and only keep the overall output range constraint.

[0099] The above content illustrates the relationship between the active power feasible region of the thermal power unit and the maximum climbing rate of different operating states, the output range of different operating states and the scheduling time scale. The results show that when the time scale and the overall output range are certain, the better the climbing performance is, the more likely the active power feasible region is to be simplified. In addition, the long scheduling time scale and the smaller overall output range can also make the active power feasible region tend to be simplified. For the convenience of reading, the present application uses and to represent the upper limit and the lower limit of the active power output range constituted by the output range of the thermal power unit in formula (1) and the climbing constraint of the thermal power unit at adjacent time points in formula (2). The above analysis and modeling process is also applicable to other thermal power units. In addition, if the maximum climbing rate of the thermal power unit can be divided into more stages with the change of the output, the analysis method is also applicable.

[0100] In step 202, the stator heating operation limit constraint of the thermal power unit is established according to the maximum stator current and the terminal voltage of the thermal power unit, and the first active power boundary of the thermal power unit in the lagging phase operation is obtained.

[0101] The present application considers that the thermal power unit operates in an industrial park containing large-scale wind power and photovoltaic power generation bases. Since different power sources are connected to the same grid through the same grid connection point, the reactive power of different power sources in the industrial park can provide mutual support, and the large-scale wind power and photovoltaic power generation bases can usually provide sufficient reactive power support through their own power electronic interfaces. Therefore, the reactive power feasible region of the thermal power unit in the present application does not consider the stability constraint, and at the same time, it is considered that there is no reactive power adjustment capability limitation at adjacent time points in the time scale studied.

[0102] The thermal power unit is usually a non-salient pole machine, and its reactive power output is When operating in the lagging phase (the thermal power unit sends reactive power to the grid), its reactive power is mainly limited by the stator heating operation limit, and its active / reactive power diagram is a circle with the center at the origin:

[0103]

[0104] wherein, is the maximum stator current (p.u.),​ is the terminal voltage (pu), is the capacity of the thermal power unit (megavolt-ampere MVA), is the active power of the thermal power unit at the current moment.

[0105] The present invention uses Represents the active and reactive relationship in formula (3), which is used to describe the capacity Power is The first reactive capacity boundary of the thermal power unit when operating in delayed phase is the right side of the inequality.

[0106] Step 203: Obtain a second reactive capacity boundary of the thermal power unit during phase-leading operation based on the terminal voltage of the thermal power unit, the synchronous reactance of the generator, and the external equivalent reactance.

[0107] When the thermal power unit absorbs reactive power from the grid during phase leading operation, Its reactive power and terminal voltage Generator synchronous reactance and external equivalent reactance The active / reactive image is a circle with its center on the positive half axis of the reactive coordinate axis:

[0108]

[0109] Accordingly, the present invention uses It represents the reactive-active power relationship in formula (4), which is used to describe the second reactive capacity boundary of the thermal power unit during phase-leading operation.

[0110] Step 204: Determine the reactive power feasible region of the thermal power unit at the next scheduling moment according to the first reactive power boundary and the second reactive power boundary.

[0111] In the specific implementation process, the first reactive capacity boundary is used as the upper limit of the reactive feasible region of the thermal power unit at the next scheduling moment, and the second reactive capacity boundary is used as the lower limit of the reactive feasible region of the thermal power unit at the next scheduling moment.

[0112] The thermal power plants in the industrial park considered by this invention are mainly large thermal power plants. The actual operating data of a 600MW large thermal power plant in an industrial park per minute for one year is as follows: Figure 9 As shown. As can be seen from the figure, large thermal power units are currently the main power source for power supply, usually in a continuous operation state, with downtime of more than 1 week, and there is no frequent start and stop. Such a long shutdown is usually based on a plan made in advance, rather than a day-ahead scheduling result. Therefore, in the modeling based on day-ahead optimization of the present invention, the thermal power units do not consider the start and stop related models, and the influence of the start and stop status is not considered in the corresponding power feasible domain. When it comes to continuous long-term optimization, the start and stop related constraint equations are considered and listed separately.

[0113] According to the formula (1)-(4) and the related analysis, the time sequence active and reactive power feasible region of the thermal power unit is:

[0114] According to the active power range formula (1) and the reactive power constraint formula (3) and (4), the overall active and reactive power feasible region of the thermal power unit is shown in the figure as Figure 8 , wherein different thermal power units will be different due to the influence of parameters and performance.

[0115] Figure 3 It is the flowchart of the method for determining the power feasible region of the fan unit provided by the application, as shown in the figure, and the method comprises the following steps. Figure 3

[0116] Step 301, according to the maximum available output and the minimum utilization rate of the fan unit of the target power supply station at the next scheduling time, the active power feasible region of the fan unit at the next scheduling time is determined.

[0117] The large wind farm in the industrial park contains multiple fan units, which are collected through the power collection line and connected to the large power grid after the booster transformer. The application takes a large wind farm containing a double-fed fan as an example to model the feasible region, and the modeling process of the feasible region of the wind farm containing other types of fans is similar, only the reactive power-active power relationship is different. The maximum active power output of the wind power at different times is related to natural factors and cannot be artificially controlled, but the actual output can be adjusted downward by abandoning wind power.

[0118] Due to the uncertainty of wind power output, the maximum available output of the fan unit at time t (the maximum output of the unit in the field station without considering any non-natural condition limitation) may be different from the output prediction value at this time . Generally speaking, the shorter the prediction time, the smaller the difference between the two. Considering the wind power adjustment, the active power feasible region of the wind power at time t is as follows:

[0119]

[0120] wherein, is the actual output of the wind power, μ WT is the minimum utilization rate of the wind power, which is used to limit the maximum reduced power and avoid energy waste, is the maximum available output of the fan unit.

[0121] Figure 10 is the feasible region of the fan unit at the adjacent time, and the dotted line in the figure represents the theoretical output range [0, P WT,max ] of the fan unit, wherein P WT,max ​(MW) is the maximum output related to the installed capacity of the wind farm; the solid line in the figure represents an example of wind power output, and the active feasible region of the wind turbine unit at the current time and the next scheduling time is limited to and

[0122] Step 302, according to the characteristic parameters of the stator of the wind turbine unit and the rotor current constraint, determine the reactive feasible region of the wind turbine body.

[0123] When the wind turbine unit generates reactive power, the reactive power output of the wind turbine body is The constraint is:

[0124]

[0125] Wherein, X WT,m is the excitation reactance, R WT,s and X WT,s are the stator resistance and reactance, U WT,s is the stator voltage, I WT,r,max is the maximum current of the rotor side converter, all of which are expressed in per unit value; S WT (MVA) is the installed capacity of the wind power, s WT is the wind power slip.

[0126] When the wind turbine unit absorbs reactive power, the reactive power absorption constraint of the wind turbine body is:

[0127]

[0128] Wherein, I WT,s,max is the maximum current of the stator side converter, R WT,r is the rotor resistance, both of which are expressed in per unit value.

[0129] The wind power slip s WT is related to the ratio of rotor speed and stator speed, and generally decreases from positive to negative as the wind turbine active power output increases. The slip can be directly represented by the wind turbine active power through curve fitting, and its functional relationship is recorded as

[0130] Step 303, according to the capacity of the grid side converter, the wind power slip and the wind power forecast output of the wind turbine unit at the next scheduling time, determine the reactive power support provided by the wind turbine grid side converter.

[0131] The wind turbine grid side converter can provide additional reactive power support outside the wind turbine body, and the corresponding reactive power constraint is:

[0132]

[0133] Wherein, For the reactive power output of the grid-side converter of the wind turbine unit, S WT,GSC (MVA) is the capacity of the grid-side converter, usually 30% of the total capacity of the wind power.

[0134] Step 304, based on the reactive power feasible region of the wind turbine body and the reactive power support provided by the grid-side converter of the wind turbine, determine the reactive power feasible region of the wind turbine at the next scheduling time.

[0135] In the specific implementation process, the upper limit value of the reactive power feasible region of the wind turbine unit can be determined according to the sum of the upper limit value of the additional reactive power support provided by the grid-side converter and the boundary of the reactive power emitted by the wind turbine unit body; The lower limit value of the reactive power feasible region of the wind turbine unit can be determined according to the sum of the lower limit value of the additional reactive power support provided by the grid-side converter and the boundary of the reactive power absorbed by the wind turbine unit body.

[0136] Only as an example, using and represent the upper boundary when the wind turbine unit emits reactive power and the lower boundary when it absorbs reactive power, using represent the boundary of the reactive power emitted by the wind turbine body of formula (7), using represent the boundary of the reactive power absorbed by the wind turbine body of formula (8), then:

[0137]

[0138] The overall active and reactive power feasible region of the wind turbine unit is shown in Figure 11 , and the actual feasible region may be different due to the influence of wind turbine parameters.

[0139] According to formulas (6)-(10), the active and reactive power feasible regions of the wind turbine unit at the next scheduling time are:

[0140]

[0141] Figure 4 The flowchart of the method for determining the power feasible region of the photovoltaic unit provided by the present application is shown in Figure 4 , and the method comprises the following steps.

[0142] Step 401, according to the maximum available output of the photovoltaic unit of the target power station at the next scheduling time and the minimum utilization rate of the photovoltaic unit, determine the active power feasible region of the photovoltaic unit at the next scheduling time.

[0143] The photovoltaic power generation in the power supply station of the wind-solar-hydropower integrated industrial park is a centralized photovoltaic power station. The power station includes multiple photovoltaic arrays. After being collected by a junction box, the photovoltaic arrays are connected to a centralized photovoltaic inverter in a single or multiple paths, and are connected to a power grid after being converted into an industrial frequency alternating current. Similar to the wind turbine unit, the maximum active output of the photovoltaic unit at each moment is related to natural factors and cannot be artificially controlled, but can only be predicted. The predicted output may be different from the maximum available output , and the light abandonment mode can also be used for downward adjustment in the present application. The feasible region of the actual active power of the photovoltaic is:

[0144] wherein μ PV is the minimum utilization rate of the photovoltaic to limit the reduction of the photovoltaic power generation.

[0145] The feasible region of the photovoltaic at the next scheduling moment includes a theoretical output range [0, P PV,max ], wherein P PV,max (MW) is the maximum output related to the installed capacity of the photovoltaic power station; at the current moment and the next scheduling moment, the active feasible region of the photovoltaic is also limited by and

[0146] Step 402, according to the active feasible region of the photovoltaic unit at the next scheduling moment and the capacity of the photovoltaic inverter in the photovoltaic unit, the reactive feasible region of the photovoltaic unit at the next scheduling moment is determined.

[0147] There is no rotating equipment in the photovoltaic power station, and the photovoltaic panel directly converts solar energy into direct current. The present application considers that the active and reactive relationship is based on the original equation, and is limited by the capacity of the inverter:

[0148]

[0149] wherein S PV is the capacity of the photovoltaic inverter, which is usually slightly higher than P PV,max .

[0150] The present application uses and to represent the left and right photovoltaic reactive output boundaries of the inequality on the left side and the right side in the above formula.

[0151] The overall active and reactive feasible region of the photovoltaic unit is shown in Figure 12 .

[0152] According to the comprehensive formula (11)-(13), the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling moment are:

[0153] ​

[0154] The scheduling device of the wind-solar-fossil integrated industrial park power field station provided by the present application is described below, and the scheduling device of the wind-solar-fossil integrated industrial park power field station described below can be correspondingly referred to the scheduling method of the wind-solar-fossil integrated industrial park power field station described above.

[0155] Figure 13 FIG. 1 is a structural schematic diagram of the scheduling device of the wind-solar-fossil integrated industrial park power field station provided by the present application. As shown in FIG. 1, the device 1300 includes the following modules. Figure 13

[0156] The first determining module 1310 is configured to determine, for a scheduling duration, an active feasible region of a fossil power unit of a target power field station at a next scheduling time according to an output range and a climbing ability of the fossil power unit at a current time, and determine a reactive feasible region of the fossil power unit at the next scheduling time according to an electrical operating characteristic parameter of the fossil power unit; wherein the scheduling duration is a time difference between the next scheduling time and the current time, and the target power field station is a power field station of a wind-solar-fossil integrated industrial park.

[0157] The second determining module 1320 is configured to determine, according to a maximum available output and a minimum utilization rate of a wind turbine unit of the target power field station at the next scheduling time, an active feasible region of the wind turbine unit at the next scheduling time, and determine, according to the active feasible region of the wind turbine unit at the next scheduling time, an electrical operating characteristic parameter of the wind turbine body, and a capacity of a grid-side converter, a reactive feasible region of the wind turbine at the next scheduling time.

[0158] The third determining module 1330 is configured to determine, according to a maximum available output and a minimum utilization rate of a photovoltaic unit of the target power field station at the next scheduling time, an active feasible region of the photovoltaic unit at the next scheduling time, and determine, according to the active feasible region of the photovoltaic unit at the next scheduling time and a capacity of a photovoltaic inverter in the photovoltaic unit, a reactive feasible region of the photovoltaic unit at the next scheduling time.

[0159] The fourth determining module 1340 is configured to determine, according to the active feasible region and the reactive feasible region of the fossil power unit at the next scheduling time, the active feasible region and the reactive feasible region of the wind turbine unit at the next scheduling time, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling time, a power feasible region of the target power field station at the next scheduling time.

[0160] The reporting module 1350 is configured to report the power feasible region of the target power field station at the next scheduling time to a scheduling system of the target power field station.

[0161] ​The scheduling module 1360 is configured to receive a scheduling power of the target power supply station from the scheduling system, so that the target power supply station schedules the thermal power generating unit, the wind turbine unit and the photovoltaic unit to jointly output power according to the scheduling power; wherein the scheduling power is obtained by the scheduling system based on power flow calculation of power feasible regions of a plurality of power supply stations including the target power supply station at a next scheduling time.

[0162] Figure 14 An example of a schematic diagram of a physical structure of an electronic device is shown in FIG. 1. Figure 14As shown, the electronic device can include a processor 1410, a communications interface 1420, a memory 1430, and a communications bus 1440, wherein the processor 1410, the communications interface 1420, and the memory 1430 complete mutual communication through the communications bus 1440. The processor 1410 can invoke a logical instruction in the memory 1430 to execute the scheduling method of the wind-solar-fire integrated industrial park power station, which includes: for a scheduling duration, determining an active feasible region of a thermal power unit of a target power station at a next scheduling time according to an output range and a climbing ability of the thermal power unit at a current time, and determining a reactive feasible region of the thermal power unit at the next scheduling time according to an electrical operating characteristic parameter of the thermal power unit; wherein the scheduling duration is a time difference between the next scheduling time and the current time, and the target power station is a power station of a wind-solar-fire integrated industrial park; determining an active feasible region of a wind turbine unit of the target power station at the next scheduling time according to a maximum available output and a minimum utilization rate of the wind turbine unit at the next scheduling time, and determining a reactive feasible region of the wind turbine at the next scheduling time according to the active feasible region of the wind turbine unit at the next scheduling time, an electrical operating characteristic parameter of the wind turbine body, and a capacity of a grid-side converter; determining an active feasible region of a photovoltaic unit of the target power station at the next scheduling time according to a maximum available output and a photovoltaic minimum utilization rate of the photovoltaic unit at the next scheduling time, and determining a reactive feasible region of the photovoltaic unit at the next scheduling time according to the active feasible region of the photovoltaic unit at the next scheduling time and a capacity of a photovoltaic inverter in the photovoltaic unit; determining a power feasible region of the target power station at the next scheduling time according to the active feasible region and the reactive feasible region of the thermal power unit at the next scheduling time, the active feasible region and the reactive feasible region of the wind turbine unit at the next scheduling time, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling time; reporting the power feasible region of the target power station at the next scheduling time to a scheduling system of the target power station; receiving a scheduling power of the target power station from the scheduling system, so that the target power station schedules the thermal power unit, the wind turbine unit, and the photovoltaic unit to jointly output according to the scheduling power; wherein the scheduling power is obtained by the scheduling system based on a power flow calculation of a power feasible region of each of a plurality of power stations including the target power station at the next scheduling time.

[0163] In addition, the logic instructions in the memory 1430 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0164] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the scheduling method for the wind, light and fire integrated industrial park power station provided by the above methods. The method includes: for the scheduling duration, according to the output range and climbing ability of the thermal power unit of the target power station at the current moment, determining the active feasible domain of the thermal power unit at the next scheduling moment, and according to the electrical operating characteristic parameters of the thermal power unit, determining The reactive power feasible domain of the thermal power unit at the next scheduling moment; wherein, the scheduling duration is the time difference between the next scheduling moment and the current moment, and the target power station is the power station of the wind, solar and thermal integrated industrial park; according to the maximum available wind power output and minimum utilization rate of the wind turbine unit of the target power station at the next scheduling moment, the active power feasible domain of the wind turbine unit at the next scheduling moment is determined, and according to the active power feasible domain of the wind turbine unit at the next scheduling moment, the electrical operating characteristic parameters of the wind turbine body and the capacity of the grid-side converter, the reactive power feasible domain of the wind turbine at the next scheduling moment is determined. The active feasible domain of the photovoltaic unit at the next scheduling moment is determined according to the maximum available output and the minimum photovoltaic utilization rate of the photovoltaic unit of the target power station at the next scheduling moment. The reactive feasible domain of the photovoltaic unit at the next scheduling moment is determined according to the active feasible domain of the photovoltaic unit at the next scheduling moment and the capacity of the photovoltaic inverter in the photovoltaic unit. The active feasible domain and reactive feasible domain of the thermal power unit at the next scheduling moment, the active feasible domain and reactive feasible domain of the wind turbine unit at the next scheduling moment, and the active feasible domain of the photovoltaic unit at the next scheduling moment are determined. and reactive feasible domain, determine the power feasible domain of the target power station at the next scheduling moment; report the power feasible domain of the target power station at the next scheduling moment to the scheduling system of the target power station; receive the scheduling power of the target power station from the scheduling system, so that the target power station dispatches the thermal power unit, the wind turbine unit and the photovoltaic unit to jointly output power according to the scheduling power; wherein, the scheduling power is obtained by the scheduling system based on the power feasible domain of multiple power stations including the target power station at the next scheduling moment through flow calculation.

[0165] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method for scheduling a power station of a wind-solar-hydropower integrated industrial park, which comprises: determining, for a scheduling time length, an active feasible region of a thermal power unit of a target power station at a next scheduling time according to an output range and a climbing ability of the thermal power unit at a current time, and determining a reactive feasible region of the thermal power unit at the next scheduling time according to an electrical operating characteristic parameter of the thermal power unit; wherein the scheduling time length is a time difference between the next scheduling time and the current time, and the target power station is a power station of a wind-solar-hydropower integrated industrial park; determining an active feasible region of a wind turbine unit of the target power station at the next scheduling time according to a maximum available output and a minimum utilization rate of the wind turbine unit at the next scheduling time, and determining a reactive feasible region of the wind turbine at the next scheduling time according to the active feasible region of the wind turbine unit at the next scheduling time, an electrical operating characteristic parameter of the wind turbine body, and a capacity of a grid-side converter; determining an active feasible region of a photovoltaic unit of the target power station at the next scheduling time according to a maximum available output and a minimum utilization rate of the photovoltaic unit at the next scheduling time, and determining a reactive feasible region of the photovoltaic unit at the next scheduling time according to the active feasible region of the photovoltaic unit at the next scheduling time and a capacity of a photovoltaic inverter in the photovoltaic unit; determining a power feasible region of the target power station at the next scheduling time according to the active feasible region and the reactive feasible region of the thermal power unit at the next scheduling time, the active feasible region and the reactive feasible region of the wind turbine unit at the next scheduling time, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling time; reporting the power feasible region of the target power station at the next scheduling time to a scheduling system of the target power station; receiving a scheduling power of the target power station from the scheduling system, so that the target power station schedules the thermal power unit, the wind turbine unit and the photovoltaic unit to jointly output according to the scheduling power; wherein the scheduling power is obtained by the scheduling system through power flow calculation based on power feasible regions of a plurality of power stations at the next scheduling time.

[0166] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the present embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0167] Those skilled in the art can clearly understand the technical solutions of the various embodiments from the above description of the embodiments, and the various embodiments can be implemented by means of software with the necessary general hardware platforms, and of course, can also be implemented by hardware. Based on such understanding, the above technical solutions, essentially or in other words, the part of the prior art that makes a contribution, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, and the like, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0168] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for some technical features therein; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A scheduling method for a wind-solar-hydro integrated industrial park power supply station, characterized in that, The method comprises the following steps: determining, for a scheduling time length, an active feasible region of a thermal power unit of a target power source station at a next scheduling time according to an output range and a ramping capability of the thermal power unit at a current time, and determining a reactive feasible region of the thermal power unit at the next scheduling time according to an electrical operating characteristic parameter of the thermal power unit; wherein the scheduling time length is a time difference between the next scheduling time and the current time, and the target power source station is a power source station of a wind-solar-thermal integrated industrial park; determining, according to a maximum available output and a minimum utilization rate of a wind turbine unit of the target power source station at the next scheduling time, an active feasible region of the wind turbine unit at the next scheduling time, and determining, according to the active feasible region of the wind turbine unit at the next scheduling time, an electrical operating characteristic parameter of the wind turbine body and a capacity of a grid-side converter, a reactive feasible region of the wind turbine at the next scheduling time; determining, according to a maximum available output and a minimum utilization rate of a photovoltaic unit of the target power source station at the next scheduling time, an active feasible region of the photovoltaic unit at the next scheduling time, and determining, according to the active feasible region of the photovoltaic unit at the next scheduling time and a capacity of a photovoltaic inverter in the photovoltaic unit, a reactive feasible region of the photovoltaic unit at the next scheduling time; determining, according to the active feasible region and the reactive feasible region of the thermal power unit at the next scheduling time, the active feasible region and the reactive feasible region of the wind turbine unit at the next scheduling time, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling time, a power feasible region of the target power source station at the next scheduling time; reporting, to a scheduling system of the target power source station, the power feasible region of the target power source station at the next scheduling time; receiving, from the scheduling system, a scheduling power of the target power source station, so that the target power source station schedules the thermal power unit, the wind turbine unit and the photovoltaic unit to jointly output according to the scheduling power; wherein the scheduling power is obtained by the scheduling system through power flow calculation based on power feasible regions of a plurality of power source stations including the target power source station at the next scheduling time.

2. The scheduling method of the wind-solar-hydro integrated industrial park power supply station according to claim 1, characterized in that, The scheduling time length is less than a first time length threshold; wherein the first time length threshold is a ratio between a difference between a minimum output of the thermal power unit in a regular peak regulation state and a minimum output of the thermal power unit in a deep peak regulation state and a second maximum ramping rate, and the second maximum ramping rate is a maximum ramping rate of the thermal power unit in the deep peak regulation state; The method comprises the following steps: when the output range of the thermal power unit at the current time is within a first output range, determining the active feasible region of the thermal power unit at the next scheduling time as a first active feasible region; The first output range has the maximum output of the thermal power generating unit as an upper boundary and has the maximum output of the thermal power generating unit minus the product of the first maximum ramping rate and the scheduling time length as a lower boundary, the first maximum ramping rate being the maximum ramping rate of the thermal power generating unit in a regular peak regulation state; the first active feasible region has the output of the thermal power generating unit at the current time minus the product of the first maximum ramping rate and the scheduling time length as a lower boundary and has the output of the thermal power generating unit at the current time plus the product of the first maximum ramping rate and the scheduling time length as an upper boundary; when the output range of the thermal power generating unit at the current time is in the second output range, the active feasible region of the thermal power generating unit at the next scheduling time is determined as the second active feasible region; The second output range has the maximum output of the thermal power generating unit minus the product of the first maximum ramping rate and the scheduling time length as an upper boundary and has the minimum output of the thermal power generating unit in the regular peak regulation state minus the product of the second maximum ramping rate and the scheduling time length as a lower boundary, the second maximum ramping rate being the maximum ramping rate of the thermal power generating unit in a deep peak regulation state; the second active feasible region is a range formed by an upper boundary and a lower boundary, the upper boundary being an output upper boundary value that can be reached by the thermal power generating unit after the scheduling time length when the thermal power generating unit is in the second output range and is subjected to the first maximum ramping rate and the second maximum ramping rate, and the lower boundary being an output lower boundary value that can be reached by the thermal power generating unit after the scheduling time length when the thermal power generating unit is in the second output range and is subjected to the first maximum ramping rate and the second maximum ramping rate; when the output range of the thermal power generating unit at the current time is in the third output range, the active feasible region of the thermal power generating unit at the next scheduling time is determined as the third active feasible region; The third output range has the minimum output of the thermal power generating unit in the regular peak regulation state as an upper boundary and has the minimum output of the thermal power generating unit in the regular peak regulation state minus the product of the second maximum ramping rate and the scheduling time length as a lower boundary; the third active feasible region has the output of the thermal power generating unit at the current time minus the product of the second maximum ramping rate and the scheduling time length as a lower boundary and has the output of the thermal power generating unit at the current time plus the product of the second maximum ramping rate and the scheduling time length as an upper boundary; The output of the thermal power generating unit at the current time satisfies an output constraint range; the output constraint range has the maximum output of the thermal power generating unit as an upper boundary and has the minimum value of the thermal power generating unit in the deep peak regulation state as a lower boundary.

3. The method of claim 2, wherein the method further comprises: The scheduling time length is greater than the first time length threshold and is less than a second time length threshold; the second time length threshold is a difference between the maximum output of the thermal power generating unit and the minimum output of the thermal power generating unit in the regular peak regulation state divided by the first maximum ramping rate; The method comprises the following steps: when the output range of the thermal power generating unit at the current time is in the first output range, the active feasible region of the thermal power generating unit at the next scheduling time is determined as the first active feasible region; When the output range of the thermal power unit at the current time is within the second output range, the active feasible region of the thermal power unit at the next dispatching time is determined as the second active feasible region.

4. The method of claim 2, wherein the method further comprises: The dispatching duration is greater than a second duration threshold and less than a third duration threshold, and the third duration threshold is represented by the following formula: Wherein, Δt is the scheduling duration; is the maximum output of the thermal power generating unit; is the first maximum ramp rate; is the second maximum ramp rate; is the minimum output of the thermal power generating unit in the deep peak regulation state; is the minimum output of the thermal power generating unit in the regular peak regulation state; The method comprises the following steps: When the output range of the thermal power unit at the current time is within the second output range, the active feasible region of the thermal power unit at the next dispatching time is determined as the second active feasible region.

5. The scheduling method of claim 4, wherein, The dispatching duration is greater than the third duration threshold; The method comprises the following steps: The active feasible region of the thermal power unit at the next dispatching time is bounded above by the maximum output of the thermal power unit and bounded below by the minimum value of the thermal power unit in the deep peak regulation state.

6. The scheduling method of the wind-solar-hydro integrated industrial park power supply station according to claim 1, characterized in that, The method comprises the following steps: The stator heating operation limit constraint of the thermal power unit is established according to the maximum stator current of the thermal power unit and the terminal voltage of the thermal power unit, so as to obtain the first reactive power boundary of the thermal power unit in the delay phase operation; The second reactive power boundary of the thermal power unit in the advance phase operation is obtained according to the terminal voltage of the thermal power unit, the synchronous reactance of the generator and the external equivalent reactance; The reactive feasible region of the thermal power unit at the next dispatching time is determined according to the first reactive power boundary and the second reactive power boundary.

7. The method of claim 1, wherein the method further comprises: The method comprises the following steps: The reactive feasible region of the wind turbine at the next dispatching time is determined according to the active feasible region of the wind turbine at the next dispatching time, the electrical operating characteristic parameters of the wind turbine body and the capacity of the grid-side converter. The reactive feasible region of the wind turbine body is determined according to the characteristic parameters of the stator of the wind turbine and the rotor current constraint; The reactive support provided by the grid-side converter of the wind turbine is determined according to the capacity of the grid-side converter, the wind power slip and the wind power predicted output of the wind turbine at the next dispatching time; 8. A dispatching device for a wind-solar-hydro integrated industrial park power supply station, characterized in that, The reactive feasible region of the wind turbine at the next dispatching time is determined based on the reactive feasible region of the wind turbine body and the reactive support provided by the grid-side converter of the wind turbine. The method comprises the following steps: The first determining module is configured to determine, for a dispatching duration, the active feasible region of the thermal power unit at the next dispatching time according to the output range and the ramping capability of the thermal power unit of a target power source station at the current time, and determine the reactive feasible region of the thermal power unit at the next dispatching time according to the electrical operating characteristic parameters of the thermal power unit, wherein the dispatching duration is the time difference between the next dispatching time and the current time, and the target power source station is the power source station of a wind-solar-thermal integrated industrial park. The second determining module is configured to determine an active feasible region of the wind turbine unit at the next scheduling moment according to the maximum available output and the minimum utilization of the wind turbine unit of the target power supply station at the next scheduling moment, and determine a reactive feasible region of the wind turbine at the next scheduling moment according to the active feasible region of the wind turbine unit at the next scheduling moment, the electrical operating characteristic parameters of the wind turbine body, and the capacity of the grid-side converter. The third determining module is configured to determine an active feasible region of the photovoltaic unit at the next scheduling moment according to the maximum available output and the minimum utilization of the photovoltaic unit of the target power supply station at the next scheduling moment, and determine a reactive feasible region of the photovoltaic unit at the next scheduling moment according to the active feasible region of the photovoltaic unit at the next scheduling moment and the capacity of the photovoltaic inverter in the photovoltaic unit. The fourth determining module is configured to determine a power feasible region of the target power supply station at the next scheduling moment according to the active feasible region and the reactive feasible region of the thermal power unit at the next scheduling moment, the active feasible region and the reactive feasible region of the wind turbine unit at the next scheduling moment, and the active feasible region and the reactive feasible region of the photovoltaic unit at the next scheduling moment. The reporting module is configured to report the power feasible region of the target power supply station at the next scheduling moment to a scheduling system of the target power supply station. The scheduling module is configured to receive a scheduling power of the target power supply station from the scheduling system, so that the target power supply station schedules the thermal power unit, the wind turbine unit, and the photovoltaic unit to jointly output according to the scheduling power. The scheduling power is obtained by the scheduling system based on power feasible regions of a plurality of power supply stations including the target power supply station at the next scheduling moment.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method for scheduling the wind-solar-thermal integrated industrial park power supply station according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the method for scheduling the wind-solar-thermal integrated industrial park power supply station according to any one of claims 1 to 7.

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