Method, device and equipment for configuring trans-provincial capacity of pumped storage power station and medium

Abstract

The invention discloses a pumped storage power station trans-provincial capacity configuration method, device and equipment and a medium. The method comprises the following steps: collecting and arranging a grid structure, system total adjustable capacity, load and new energy prediction data of a regional power grid in a research level year; the regional power grid pumped storage capacity trans-provincial mutual aid research is carried out by taking reduction of the overall system operation cost and the new energy power abandoning rate of the regional power grid as the target, and a pumped storage power station trans-provincial capacity configuration model is established. Optimal configuration analysis is carried out by combining the newly-added total capacity of the pumped storage power station in regional power grid planning in a research level year, and an optimal configuration scheme of the newly-added pumped storage capacity among provinces is obtained. The regional power grid trans-provincial power transmission channel and the unified scheduling mechanism are utilized, optimal allocation of resources on the regional level is achieved through pumped storage trans-provincial mutual aid, the operation economical efficiency of the whole regional power grid can be improved, and the problem that pumped storage resources of all provinces are distributed unevenly is effectively solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system planning, and particularly relates to a pumped storage power station cross-provincial capacity configuration method, device, equipment and medium. BACKGROUND

[0002] Pumped storage power stations have multiple functions such as peak load and valley fill, frequency and phase modulation, and emergency backup. With the continuous increase of new energy installation in recent years, the peak-valley difference of power grid load is significantly widened, and the key regulation role of pumped storage power stations in the power system is also highlighted year by year. However, there are great limitations in the site selection of pumped storage power stations, resulting in uneven distribution of developable resources of pumped storage in different provinces, causing structural contradictions between the demand of the power system for pumped storage regulation capacity and the endowment of pumped storage resources in the province, and further causing phenomena such as continuous deep peak load of coal-fired power and large amount of new energy curtailment in some resource-deficient provinces, resulting in resource waste. SUMMARY

[0003] The present application provides a pumped storage power station cross-provincial capacity configuration method, device, electronic equipment and medium to solve the technical problem of uneven allocation of pumped storage resources in each province in the regional power grid.

[0004] In a first aspect, a pumped storage power station cross-provincial capacity configuration method is provided, which comprises:

[0005] obtaining system load prediction data, power installation composition data, new energy output prediction data of each province in the regional power grid in the research level year, and cross-provincial power transmission channel capacity data;

[0006] Based on the system load prediction data, the power installation composition data, the new energy output prediction data and the cross-provincial power transmission channel capacity data, a pumped storage power station cross-provincial capacity configuration model is constructed, with the minimum total cost of regional power grid operation and the lowest new energy curtailment rate as the target, wherein the total cost of regional power grid operation includes the operation cost of peak load thermal power, the start-stop operation cost of thermal power and the construction cost of pumped storage power station;

[0007] The pumped storage power station cross-provincial capacity configuration model is executed to obtain an optimal capacity configuration scheme of the pumped storage power station.

[0008] In a second aspect, a pumped storage power station cross-provincial capacity configuration device is provided, which is used to implement the pumped storage power station cross-provincial capacity configuration method of the first aspect, and comprises:

[0009] The acquisition module is configured to obtain system load prediction data, power installation composition data, new energy output prediction data of each province in the regional power grid in the research level year, and cross-provincial power transmission channel capacity data;

[0010] The construction module is configured to construct a pumped storage power station cross-provincial capacity configuration model with the minimum regional power grid operation total cost and the lowest new energy curtailment rate as the target based on system load prediction data, power installation composition data, new energy output prediction data, and cross-provincial transmission channel capacity data, wherein the regional power grid operation total cost includes peak shaving thermal power operation cost, thermal power start-stop operation cost, and pumped storage power station construction cost.

[0011] The generation module is configured to execute the pumped storage power station cross-provincial capacity configuration model to obtain an optimal capacity configuration scheme of the pumped storage power station.

[0012] In a third aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the pumped storage power station cross-provincial capacity configuration method when executing the computer program.

[0013] In a fourth aspect, a computer readable storage medium is provided, which stores a computer program, and the computer program implements the steps of the pumped storage power station cross-provincial capacity configuration method when executed by a processor.

[0014] In the scheme implemented by the pumped storage power station cross-provincial capacity configuration method, device, electronic device, and storage medium, the grid structure, system total adjustable capacity, load, and new energy prediction data of the research level year regional power grid are collected and sorted. The regional power grid pumped storage capacity cross-provincial mutual aid is researched with the goal of reducing the overall system operation cost and new energy curtailment rate of the regional power grid, and the pumped storage power station cross-provincial capacity configuration model is established. In combination with the total new capacity of the pumped storage power station in the regional power grid planning of the research level year, the optimal configuration scheme of the new pumped storage capacity among provinces is obtained. The resources are optimally configured at the regional level through the pumped storage cross-provincial mutual aid by using the regional power grid cross-provincial transmission channel and unified dispatching mechanism, which helps to improve the operation economy of the entire regional power grid and effectively solves the problem of uneven distribution of pumped storage resources in each province. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments of the present application. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0016] Figure 1 is a flowchart of the pumped storage power station cross-provincial capacity configuration method in an embodiment of the present application;

[0017] Figure 2is a structural schematic view of a pumped storage power station cross-province capacity configuration device in an embodiment of the present application. DETAILED DESCRIPTION

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of description and illustration, and are not used to limit the scope of protection of the present application.

[0019] In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in the present application show the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowcharts can be implemented in no particular order, and the steps without logical context relationship can be reversed in order or implemented simultaneously. In addition, one or more other operations can be added to the flowcharts or one or more operations can be removed from the flowcharts under the guidance of the content of the present application.

[0020] In addition, the embodiments described in the present application are only some of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0021] It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features. It should also be noted that similar reference numerals and letters represent similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0022] The present application will be described in detail below with reference to the relevant drawings of the specification.

[0023] Please refer to Figure 1 The embodiments of the present application provide a pumped storage power station cross-province capacity configuration method, specifically comprising the following steps:

[0024] S10: Obtain the system load prediction data, power installed composition data, new energy output prediction data, and cross-province power transmission channel capacity data of each province in the regional power grid in the research level year.

[0025] It can be understood that the execution subject of the present application can be a pumped storage power station cross-provincial capacity configuration device, and can also be a terminal or a server, and the specific embodiments are not limited herein. The server is taken as an example for description of the embodiments of the present application.

[0026] In this step, both the power grid planning and the energy policy research are prospective, and in order to carry out the follow-up research, it is necessary to collect the power grid structure, the total adjustable capacity of the system, and the predicted data of the power load and new energy power generation in the research level year. Among them, the regional power grid refers to a large power system formed by the interconnection of multiple provincial power grids. The system load prediction data, power installation composition data, new energy output prediction data of each province in the research level year, and the cross-provincial transmission channel capacity data of the regional power grid are obtained. Specifically, the system load prediction data refers to the prediction of the power demand (power consumption) of each province in the research level year. This is the target that the power grid needs to meet, and all power generation and transmission planning is to meet this future power demand. The power installation composition data reflects the installation structure of various types of power sources in the region, including the current power installation status and the approved (planned) power sources that can be built and put into operation before the research level year. The new energy output prediction data refers to the prediction of the wind power and photovoltaic power generation capacity of each province in the research level year. The cross-provincial transmission channel capacity data is the network structure of the regional power grid in the research level year, which determines the transmission path and capacity of the power.

[0027] Optionally, the system load prediction data specifically includes: the total power consumption of each province in the research level year and the hourly, daily, and monthly power consumption power change curve. To reflect the daily peak and valley of power consumption, as well as the power consumption characteristics in different seasons. Key indicators: such as maximum load (the highest point of annual power consumption power), minimum load, load rate, etc. The new energy output prediction data specifically includes: installed capacity: how many GW of wind power and photovoltaic power will be installed by the target year. Output characteristics: since the output curve of wind and light power generation is fluctuating and intermittent, it is necessary to generate a typical day and a typical year of time series output curve based on historical meteorological data. Cross-provincial transmission channel capacity data, specifically includes: transmission network, that is, which transmission lines, voltage levels, and which key substations and power plants are connected by these lines. Power source layout, that is, which large power plants (including thermal power, hydropower, nuclear power, wind power base, and photovoltaic base) are in the region, and how the installed capacity and geographical location distribution of each power plant are distributed. Cross-region connection, that is, which connecting channels are connected with other regional power grids, and what is the transmission capacity of these channels.

[0028] Through the above-mentioned manner, the research level year regional power grid network structure, the total adjustable capacity of the system, and the research level year load and new energy output prediction data are collected and sorted, which can accurately represent the power supply capacity, load demand characteristics, and transmission channel capacity of the entire regional power grid, and provide a reliable data basis for subsequent optimization calculation and planning decision.

[0029] S20: Based on the system load prediction data, power installed capacity data, new energy output prediction data and cross-provincial transmission channel capacity data, a pumped storage power station cross-provincial capacity configuration model is constructed with the minimum total cost of regional power grid operation and the lowest new energy curtailment rate as the target, wherein the total cost of regional power grid operation includes the operation cost of peak shaving thermal power, the operation cost of thermal power start-stop and the construction cost of pumped storage power station.

[0030] In this step, the traditional mode of each province independently configuring the cross-provincial capacity of pumped storage power station is prone to local optimization, and it is difficult to achieve regional global optimization. In order to obtain the global optimal solution that maximizes the overall benefit of all provinces in the entire regional power grid, the present application proposes to collect the power grid network structure, the total adjustable capacity and the prediction data of the regional power grid in the research level year, and construct a pumped storage power station cross-provincial capacity configuration model with the minimum total cost of regional power grid operation and the lowest new energy curtailment rate as the target. The model aims to ensure the comprehensive calculation and minimization of the fuel cost of peak shaving thermal power, the start-stop loss of thermal power unit and the new investment of pumped storage power station, while reducing the wind power and photovoltaic power as much as possible due to the inability of the system to consume.

[0031] In an embodiment of the present application, a specific model construction scheme is provided, S20, that is, based on the system load prediction data, power installed capacity data, new energy output prediction data and cross-provincial transmission channel capacity data, a pumped storage power station cross-provincial capacity configuration model is constructed with the minimum total cost of regional power grid operation and the lowest new energy curtailment rate as the target, specifically including the following steps S21-S23:

[0032] S21: Construct a target function with the minimum total cost of regional power grid operation and the lowest new energy curtailment rate as the target.

[0033] In this step, the target function of minimizing the total operation cost of regional power grid and minimizing the new energy curtailment rate is constructed, which is used to calculate and minimize the total cost related to thermal power of regional power grid within a year.

[0034] Specifically, the target function is:

[0035]

[0036] Wherein, F is the total operation cost; T is the total scheduling period; I is the total number of regional power grids; is the peak shaving thermal power operation cost of province i in period t; is the thermal power start-stop operation cost of province i in period t; is the construction cost of pumped storage power station of province i in period t.

[0037] Wherein, the peak-shaving thermal power operation cost is the fuel cost consumed by the peak-shaving thermal power station in a certain province and a certain period, and the calculation formula is:

[0038]

[0039] Wherein, C is the unit cost of coal; is the actual net power delivered to the power grid by the peak-shaving thermal power station of the province i at the t period; is the maximum capacity of the existing peak-shaving thermal power station of the province i; is the installed capacity of the planned peak-shaving thermal power station of the province i.

[0040] When the thermal power generating unit generates power, the coal consumption and the power generation capacity usually have a complex nonlinear relationship. If the optimization model is directly introduced, the model will be extremely complex and difficult or even impossible to solve. Therefore, the application simplifies the actual coal consumption characteristics of the thermal power generating unit to a linear relationship for representation, that is, the coal consumption curve is linearly processed to obtain the coal consumption per unit power of the thermal power station.

[0041] Therefore, formula (2) can be simplified as:

[0042]

[0043] Through formula (3), a linear coal consumption function can be obtained, that is, total coal consumption = marginal coal consumption coefficient x real-time power of the thermal power station + no-load coal consumption coefficient x total installed capacity of the power station.

[0044] Further, whether the power is increased or decreased (started or stopped), as long as the power changes, mechanical loss and additional fuel consumption and other costs will be generated. The absolute value ensures that the change amount is always positive, so the cost is always increased, that is, the start-stop cost is usually related to the change range of the power. Therefore, the absolute value of the power difference between the current period and the last period is calculated to simulate the power change amount.

[0045] Specifically, the calculation formula of the thermal power start-stop operation cost is:

[0046]

[0047] Wherein, C qt is the start-stop cost per unit power of the thermal power; is the start-stop power of the local adjustable thermal power generating unit of the province i at the t period; is the start-stop power of the local adjustable thermal power generating unit of the province i at the t-1 period; is the start-stop power received by the province i at the t period (such as “sending electricity from Anhui to East China”); is the start-stop power received by the province i at the t-1 period; The start-stop power of the local peak-regulation thermal power unit of the province i in the t period; The start-stop power of the local peak-regulation thermal power unit of the province i in the t-1 period.

[0048] Further, by multiplying the unit capacity construction cost by the newly built capacity, the investment cost required for the newly built peak-regulation thermal power capacity of the province i can be calculated.

[0049] Therefore, the calculation formula of the construction cost of the pumped storage power station is:

[0050]

[0051] C J is the investment cost required for each megawatt of the newly built peak-regulation thermal power capacity; is the installed capacity of the peak-regulation thermal power station planned to be newly built in the province i.

[0052] S22: Based on the system load prediction data, the power installed composition data, the new energy output prediction data and the cross-province power transmission channel capacity data, a plurality of constraint conditions are set, wherein the constraint conditions include at least one of the following: thermal power output constraint, hydropower output constraint, nuclear power output constraint, external power constraint, pumped storage output constraint, new energy grid-connected constraint and new energy output constraint.

[0053] In this step, the research level year regional power grid network structure and the research level year load and new energy output prediction data are studied, the physical and technical rules that the model must comply with are defined, and a plurality of constraint conditions are formed.

[0054] Optionally, the constraint conditions specifically include: thermal power output constraint, hydropower output constraint, nuclear power output constraint, external power constraint, pumped storage output constraint, new energy output constraint, new energy grid-connected constraint and power balance constraint.

[0055] In an embodiment of the present application, the thermal power output constraint includes at least one of the following: non-adjustable thermal power output constant constraint, adjustable thermal power output upper and lower limit constraint, adjustable thermal power start-stop power constraint, adjustable thermal power start-stop upper limit constraint, peak-regulation thermal power output upper and lower limit constraint and peak-regulation thermal power start-stop change rate constraint.

[0056] In this embodiment, the power generation power of the thermal power unit (coal power, gas power, etc.) cannot be lower than a certain minimum value, otherwise the boiler cannot be stably combusted; nor can it exceed the rated capacity of the unit, and the magnitude of the actual internal power increase or decrease cannot be too fast, otherwise the equipment will be damaged. Therefore, the thermal power output constraint is set to limit the power generation power of the thermal power unit to be within a certain range.

[0057] Specifically, based on the adjustable characteristics of thermal power units, the thermal power output constraints are divided into non-adjustable thermal power (i.e. those thermal power units that hardly participate in regulation and always run at constant power), adjustable thermal power (i.e. those conventional thermal power units that have the ability to adjust and undertake the main peak regulation task), peak regulation thermal power (i.e. thermal power units that are specially technically modified for deep peak regulation, especially coal power units), and external thermal power (i.e. thermal power sent from other regions).

[0058] The thermal power output constraint expression is:

[0059]

[0060] wherein, is the total power delivered to the power grid by all thermal power units in province i at time period t; is the constant average power of non-adjustable thermal power units in province i at time period t; is the grid-connected power of local adjustable thermal power units in province i at time period t; is the thermal power sent from outside to province i at time period t through the power transmission channel; is the grid-connected power of local peak regulation thermal power units in province i at time period t.

[0061] Through the thermal power output constraint, the diversity of thermal power sources in the power grid is reflected, so that the optimal values of the four variables for each province i at each time period t are found under the premise of meeting various constraints.

[0062] wherein, the non-adjustable thermal power units do not participate in power regulation in the regulation period and usually run at a very high power. Therefore, in the optimization model, the output power of the non-adjustable thermal power units is regarded as a constant and not as a variable, i.e. it is considered that the non-adjustable thermal power output is constant and always the average value of the unit output, that is, the non-adjustable thermal power output constant constraint is a constant.

[0063] Further, a range of fluctuations is set for the power generation of the adjustable thermal power units, which cannot be too high or too low. The upper limit of the adjustable thermal power is the maximum power that can be generated at present, i.e. the total installed capacity minus the capacity that is currently under repair, fault shutdown (blocked), and reserved for power grid safety (backup); the lower limit is the technical minimum output, i.e. the minimum power that the thermal power unit can maintain under the premise of not being extinguished and being able to burn stably, below which the unit needs to be shut down.

[0064] The adjustable thermal power output upper and lower limit constraint expression is:

[0065]

[0066] wherein, is the current actual available installed capacity of the adjustable thermal power unit in province i; is the planned generation power of the adjustable thermal power unit in province i at time period t; is the start-stop power variation of the adjustable thermal power unit in province i from time period t-1 to time period t; 0.4 is the technical minimum power factor.

[0067] In practical application scenarios, it is assumed that the technical minimum power of the power plant is 40% of its available capacity, i.e., the technical minimum power.

[0068] Further, the power plant cannot generate power without restriction, and its total power generation is limited by factors such as power generation plans, fuel contracts, etc. Therefore, the total power generation of the adjustable thermal power in a period of time (such as a month) is limited, and the total power generation is required to be no more than the value calculated according to its average power. For example, a power plant with an average power of 100 MW, the theoretical upper limit of total power generation in a month (744 hours) is 100 MW x 744 h.

[0069] The adjustable thermal power start-stop power constraint expression is:

[0070]

[0071] where T is the dispatching period (such as a month, 744 hours); is the power generation of the adjustable thermal power unit in province i at time period t; is the average power generation allowed in the dispatching period for province i; is the maximum allowed total power generation.

[0072] Further, the power of the unit changes dramatically (such as frequent start-stop), which will generate huge mechanical loss and additional fuel cost. Therefore, it is stipulated that the variation of power between adjacent two time periods cannot exceed an upper threshold, such as a maximum of 40% of the rated capacity per hour. By setting the adjustable thermal power start-stop upper limit constraint, the magnitude of the power variation of the thermal power unit is limited.

[0073] The adjustable thermal power start-stop upper limit constraint expression is:

[0074]

[0075] Through the adjustable thermal power start-stop upper limit constraint, the power variation of the adjustable thermal power unit in province i at time period t is limited to be within the range of 0 to 40% of its available capacity, preventing the model from giving a solution that the power instantaneously rises from 0 to 100%, which is impossible in reality.

[0076] Further, operating constraints are set for the peak shaving thermal power to ensure that the power allocated to the peak shaving thermal power by the model is feasible in reality.

[0077] Specifically, the operation constraints of the peak shaving thermal power include upper and lower limits of the peak shaving thermal power output, to ensure that the power output of the peak shaving thermal power cannot be too high or too low at any time.

[0078] The upper and lower limits of the peak shaving thermal power output are expressed as:

[0079]

[0080] wherein, is the upper limit of the total installed capacity of the existing peak shaving thermal power units in the province i; is the installed capacity of the planned peak shaving thermal power units in the province i; is the peak shaving thermal power change amount of the province i from the period t-1 to the period t; is the actual power output of all peak shaving thermal power units in the province i at the period t.

[0081] Further, the operation constraints of the peak shaving thermal power also include the start-stop change rate constraint of the peak shaving thermal power, to ensure that the power output of the units cannot increase or decrease instantaneously, and the change rate must be within the range allowed by the equipment.

[0082] The start-stop change rate constraint of the peak shaving thermal power is expressed as:

[0083]

[0084] Through the start-stop change rate constraint of the peak shaving thermal power, it is limited that the peak shaving thermal power change amount must be a non-negative number, and the maximum value cannot exceed 40% of the total peak shaving capacity.

[0085] In an embodiment of the present application, the hydropower stations are divided into adjustable hydropower stations and non-adjustable hydropower stations, and the total hydropower of a province is composed of the power output of the adjustable hydropower and the average power output of the non-adjustable hydropower.

[0086] The hydropower output constraint expression is:

[0087]

[0088] wherein, is the total power delivered to the power grid by all hydropower units in the province i at the period t; is the constant average power of all non-adjustable hydropower stations in the province i; is the power output of the adjustable hydropower in the province i at the period t.

[0089] Specifically, the non-adjustable hydropower station has no reservoir or small reservoir capacity, and its power generation capacity is completely determined by the current natural water inflow, and it has no adjustment capacity. Its output is not an optimized variable, but a fixed input value determined by natural conditions. Therefore, in the optimization model, the output of the non-adjustable hydropower station is treated as a constant, i.e. a constant. In actual application scenarios, the historical average value or the predicted average value can be taken as the constant output of the power station.

[0090] Further, for the adjustable hydropower station, the power generation cannot exceed its current maximum capacity, nor can it be overdrawn, so the upper and lower limits of the power generation range of the adjustable hydropower station in a certain period of time are limited. The upper limit (available capacity) is the maximum power that can be actually generated after deducting the maintenance, fault (obstruction), and reserved capacity for the power grid (backup) from the total installed capacity.

[0091] The upper and lower limit constraint expression of the adjustable hydropower output is:

[0092]

[0093] wherein, is the planned power generation of the adjustable hydropower station in province i at time period t; is the available installed capacity of the adjustable hydropower station in province i at time period t.

[0094] Further, the adjustable hydropower station cannot generate power without limit, and its total power generation is limited by the available water quantity of the reservoir, so the total power generation of the adjustable hydropower station in a period of time (such as a month) is limited so that it cannot exceed the theoretical maximum value calculated according to its average output.

[0095] The total power generation constraint expression of the adjustable hydropower station is:

[0096]

[0097] wherein, is the power generation of the adjustable hydropower station in province i at time period t; is the average power generation allowed for the adjustable hydropower station in province i in the dispatching period T; is the maximum allowed total power generation of the hydropower station in province i.

[0098] Through the total power generation constraint of the adjustable hydropower station, the total power generation of the adjustable hydropower station in the entire dispatching period (such as a month, 744 hours) is limited to not exceed an upper limit value.

[0099] In an embodiment of the present application, the procedure of starting, stopping or substantially regulating the power of a nuclear power plant is very complex and time-consuming, and frequent load changes can affect the safety and life of the reactor. In addition, the fixed investment cost of nuclear power is extremely high, while the cost of fuel (uranium) is relatively low. Let it run at full capacity can dilute the fixed cost and achieve the highest economic efficiency. Therefore, nuclear power is most suitable for bearing the stable and constant base load in the power grid. In the optimization model, the output of the nuclear power plant is identified as unadjustable, and its output is always the available installed capacity of the total installed capacity minus the maintenance capacity.

[0100] The nuclear power output constraint expression is:

[0101]

[0102] wherein, is the power generation of the nuclear power plant in province i at time period t; is the available installed capacity of the nuclear power plant in province i in the dispatching period.

[0103] In an embodiment of the present application, external electricity refers to electricity transmitted from other regions, which is composed of adjustable external electricity and unadjustable external electricity. Therefore, the total external electricity power of a province is composed of the fixed unadjustable external electricity power and the adjustable external electricity power.

[0104] The external electricity constraint expression is:

[0105]

[0106] wherein, is the total power transmitted into the power grid by the inter-provincial channel in province i at time period t; is the average value of the unadjustable external electricity power of province i; is the adjustable external electricity power of province i at time t.

[0107] Specifically, in the optimization model, the unadjustable external electricity has a constant and unchangeable constant output. In actual application scenarios, the protocol specified or historical average transmission power value can be taken as the constant output of this part of electricity.

[0108] Further, the transmission power range of the adjustable external electricity at a certain time period is limited, so that its power cannot exceed the maximum capacity of the power transmission channel, nor can it be negative. The upper limit of the nuclear power output is

[0109] The upper and lower limit constraint expression of the adjustable external electricity output is:

[0110]

[0111] wherein, is the adjustable external power of province i at time t; is the maximum adjustable DC capacity of the transmission channel of province i in the dispatching period.

[0112] By the adjustable external power upper and lower limit constraint, the actual power of the adjustable external power must be between 0 and the current maximum available transmission capacity of the transmission channel of province i.

[0113] Further, the total transmission power of the adjustable external power in the dispatching period (such as a month) cannot exceed the theoretical maximum value calculated according to the average power.

[0114] The adjustable external power total power constraint expression is:

[0115]

[0116] wherein, is the average transmission power of the adjustable external power of province i in the dispatching period.

[0117] By the adjustable external power total power constraint, the total transmission power of the adjustable external power in the entire dispatching period (such as a month, 744 hours) cannot exceed an upper limit value.

[0118] In an embodiment of the present application, the pumped storage power output constraint includes at least one of the following: pumped storage power output upper and lower limit constraint, pumped storage upper reservoir capacity constraint, and pumped storage energy storage amount constraint at the beginning and end of the dispatching period.

[0119] Specifically, different pumped storage power stations have different reservoir sizes and energy storage capacities, some can be full for 5 hours, and some can be full for 10 hours. In the optimization model, a set of universal mathematical constraints is used to describe their common operating characteristics, making the model universal and applicable to pumped storage power stations of any parameters.

[0120] Whether it is pumping or generating, the maximum power is limited by the capacity of the unit and the line. Therefore, the pumped storage power output upper and lower limit constraint is set so that the absolute value of the power of the pumped storage power station at any time cannot exceed its installed capacity.

[0121] The pumped storage power output upper and lower limit constraint expression is:

[0122]

[0123] wherein, is the maximum installed capacity of the pumped storage power station of province i; Pit i's pumped storage power station's power at time period t.

[0124] Further, the energy storage capacity of the pumped storage power station reservoir cannot be negative, nor can it exceed the maximum reservoir capacity. Therefore, the pumped storage power station upper reservoir capacity constraint is set to ensure energy conservation of the pumped storage power station.

[0125] The pumped storage power station upper reservoir capacity constraint expression is:

[0126]

[0127] wherein E i,t-1 Ei,t-1 is the energy storage capacity of the pumped storage power station upper reservoir in province i at the end of time period t-1; ΔEi,t is the energy change of the pumped storage power station in province i at time period t; Pi is the maximum installed capacity of the pumped storage power station in province i; Ti is the full-capacity support time of the pumped storage power station in province i; Ei,max is the maximum energy storage capacity of the pumped storage power station upper reservoir in province i.

[0128] Through the pumped storage power station upper reservoir capacity constraint, the operation of the pumped storage power station in each time period is limited to not exceeding the physical capacity limit of its reservoir.

[0129] Further, at the end of the dispatching period, the energy storage capacity of the pumped storage power station reservoir returns to an initial state (such as half the reservoir), so that the next period can continue to be used normally and will not be overdrawn or full. Therefore, the energy storage capacity constraint at the beginning and end of the dispatching period of the pumped storage power station is set to ensure the periodicity of its operation.

[0130] The pumped storage power station dispatching period beginning and end energy storage capacity constraint expression is:

[0131]

[0132] wherein E i,T Ei,T is the energy storage capacity of the pumped storage power station upper reservoir in province i within the dispatching period; T is the dispatching period.

[0133] Through the pumped storage power station dispatching period beginning and end energy storage capacity constraint, at the end of the dispatching period (T = 24 hours), the energy storage capacity of the pumped storage upper reservoir needs to return to 50% of the maximum reservoir capacity. To ensure that the pumped storage power station of the next dispatching period (such as the next day) can be used in the same way, ensuring the sustainable scheduling of resources.

[0134] In an embodiment of the present application, the new energy storage output constraint includes at least one of the following: a new energy storage power station output upper and lower limit constraint and a new energy storage state of charge dynamic constraint.

[0135] Specifically, the absolute value of the power of the new energy storage at any moment cannot exceed its rated power (i.e., installed capacity), so the upper and lower limits of the output of the energy storage power station are set as the total installed capacity of the new energy storage, and the upper and lower limits of the output of the energy storage power station are constructed to ensure that the charging and discharging power of the new energy storage is within the safe operation range of the equipment.

[0136] The upper and lower limit constraint expression of the output of the new energy storage power station is:

[0137]

[0138] wherein, is the maximum installed capacity of the new energy storage power station in province i; is the power of the new energy storage power station in province i at time period t.

[0139] Exemplarily, a 100 MW / 200 MWh new energy storage power station has a power range of -100 MW≤P≤100 MW. P=80 MW represents discharging at a power of 80 MW; P=-60 MW represents charging at a power of 60 MW.

[0140] The dynamic constraint expression of the state of charge of the new energy storage power station is:

[0141]

[0142] wherein, is the energy storage capacity of the new energy storage power station in province i at time period t-1; is the energy change of the new energy storage power station in province i at time period t; is the time required for the new energy storage power station to fully charge or discharge at the rated power; is the maximum energy storage capacity of the new energy storage power station in province i.

[0143] Through the dynamic capacity constraint of the new energy storage power station, it is ensured that the operation of the new energy storage power station in each time period will not exceed the safe range (usually 0% to 100%) of the state of charge (SOC), preventing the battery from being damaged.

[0144] In an embodiment of the present application, the new energy output constraint includes at least one of the following: new energy grid-connected power constraint, new energy curtailed power non-negative constraint, and new energy power balance constraint.

[0145] Specifically, the objective function of the model usually contains a penalty term for the amount of curtailed power, and the optimization algorithm needs to balance between reducing curtailment and increasing its cost. The new energy grid-connected power constraint specifies the basic rules that the actual power delivered to the grid by the wind farm and photovoltaic power station must follow, defines the operating boundary of the new energy power station, and ensures that the scheduling scheme given by the optimization model will not make the new energy power station do something physically impossible (such as generating more power than the currently available power).

[0146] The new energy grid-connected power constraint includes a photovoltaic grid-connected power constraint and a wind farm grid-connected power constraint.

[0147] The photovoltaic grid-connected power constraint expression is:

[0148]

[0149] wherein, is the actual power delivered to the grid by the photovoltaic power station in province i at time period t; is the maximum possible power generation of the photovoltaic power station in province i at time period t according to the prediction of the intensity of light.

[0150] Through the photovoltaic grid-connected power constraint, it is ensured that the photovoltaic power station cannot absorb power from the grid, and its actual grid-connected power cannot exceed the predicted maximum power generation capacity at the moment.

[0151] The wind farm grid-connected power constraint expression is:

[0152]

[0153] wherein, is the actual power delivered to the grid by the wind farm power station in province i at time period t; is the maximum possible power generation of the wind farm power station in province i at time period t according to the prediction of the wind speed.

[0154] Through the wind farm grid-connected power constraint, it is ensured that the wind farm power station cannot absorb power from the grid, and its actual grid-connected power cannot exceed the predicted maximum wind power generation capacity at the moment.

[0155] Further, the new energy curtailment constraint includes a photovoltaic curtailment constraint and a wind farm curtailment constraint.

[0156] The photovoltaic curtailment constraint expression is:

[0157]

[0158] wherein, is the power that the photovoltaic power station in province i is forced to abandon and not sent to the grid at time period t; The maximum possible power generation of the photovoltaic power station in province i at time period t according to the light intensity prediction.

[0159] Through the photovoltaic curtailment constraint, it is ensured that the curtailed power of the photovoltaic power station cannot be fed back from the power grid to the photovoltaic power station, and the curtailed power cannot exceed the current maximum power generation capacity of the power station.

[0160] The wind farm curtailment constraint expression is:

[0161]

[0162] wherein, is the power that the wind farm power station in province i is forced to abandon and not sent to the power grid at time period t; is the maximum possible power generation of the wind farm power station in province i at time period t according to the wind speed prediction.

[0163] Through the wind farm curtailment constraint, it is ensured that the curtailed power of the wind farm power station cannot be fed back from the power grid to the wind farm power station, and the curtailed power cannot exceed the current maximum power generation capacity of the power station.

[0164] Further, at any time period, the total power generation capacity (i.e., the predicted output) of a new energy power station (wind power or photovoltaic) can only go in two directions: part of it is received by the power grid, and part of it is actively abandoned. The sum of the two parts must be equal to the total power generation capacity. Therefore, it is necessary to define the relationship between the grid-connected power and the curtailed power to ensure the logical consistency of the internal calculation of the optimization model.

[0165] Specifically, the new energy power balance constraint includes a photovoltaic power balance constraint and a wind farm power balance constraint.

[0166] The photovoltaic power balance constraint expression is:

[0167]

[0168] Through the photovoltaic power balance constraint, it is ensured that the total power generated by the photovoltaic power station (determined by sunlight) must be equal to the power sent to the power grid plus the power abandoned.

[0169] The wind farm power balance constraint expression is:

[0170]

[0171] Through the wind farm power balance constraint, it is ensured that the total power generated by the wind farm power station (determined by wind) must be equal to the power sent to the power grid plus the power abandoned.

[0172] In an embodiment of the present application, for a province, because electricity is difficult to store on a large scale, it must be produced immediately and consumed immediately at any time. Power generation and power consumption must be balanced every minute, otherwise it will cause power grid frequency fluctuations, and in severe cases, it will cause large-scale power outages. Therefore, a power balance constraint is set to ensure that the total power generated by all power sources in the province must be equal to the total power consumed by all users in the province (i.e. load).

[0173] The power balance constraint expression is:

[0174]

[0175] wherein, is the total power demand of all provinces i at time t.

[0176] Through the power balance constraint, it is ensured that the total power consumption load of each province at any time must be jointly satisfied by all thermal power generation, hydropower generation, nuclear power generation, pumped storage power generation, photovoltaic power generation, wind power generation and power imported from other provinces. The optimization model finds the combination scheme that minimizes the total cost (minimum objective function) by adjusting the size of each term on the right side of the equation.

[0177] S23: Based on the objective function and multiple constraint conditions, a pumped storage power station cross-province capacity configuration model is constructed.

[0178] In this step, the objective function and all constraint conditions are integrated to construct a multi-objective mixed integer programming model. The decision variables of the model include: the configuration value of the new pumped storage capacity of each province (integer variable), the hourly output of thermal power and pumped storage of each province, inter-provincial power transmission power, new energy curtailment, etc. Through the model, capacity planning (investment decision) and operation simulation (production simulation) can be optimized at the same time, and finally a Pareto optimal capacity allocation scheme set that takes into account economy and consumption capacity is output.

[0179] S30: The pumped storage power station cross-province capacity configuration model is executed to obtain an optimal capacity configuration scheme of the pumped storage power station.

[0180] In this step, the pumped storage power station cross-province capacity configuration model is executed and solved by a multi-objective optimization algorithm, and finally an optimal configuration scheme of the pumped storage capacity of each province in the regional power grid is obtained.

[0181] In an embodiment of the present application, a specific optimal capacity configuration scheme calculation scheme is provided, and in S30, the pumped storage power station cross-province capacity configuration model is executed to obtain an optimal capacity configuration scheme of the pumped storage power station, specifically including the following steps S31-S32:

[0182] S31: Obtain the preset installed capacity of the pumped storage power station in the research level year.

[0183] In this step, the preset installed capacity of pumped storage power station refers to the total amount of newly added pumped storage power stations in the regional power grid planned in the research level year. The total amount of newly added is input as a constraint condition into the model, and the model automatically simulates the system operation under various configuration schemes with the lowest total cost and the lowest curtailment rate as the target.

[0185] In this step, the preset installed capacity of pumped storage power station refers to the total amount of newly added pumped storage power stations in the regional power grid planned in the research level year. The total amount of newly added is input as a constraint condition into the model, and the model automatically simulates the system operation under various configuration schemes with the lowest total cost and the lowest curtailment rate as the target.

[0184]

[0185] In this step, the preset installed capacity of pumped storage power station refers to the total amount of newly added pumped storage power stations in the regional power grid planned in the research level year. The total amount of newly added is input as a constraint condition into the model, and the model automatically simulates the system operation under various configuration schemes with the lowest total cost and the lowest curtailment rate as the target.

[0185] In this step, the preset installed capacity of pumped storage power station refers to the total amount of newly added pumped storage power stations in the regional power grid planned in the research level year. The total amount of newly added is input as a constraint condition into the model, and the model automatically simulates the system operation under various configuration schemes with the lowest total cost and the lowest curtailment rate as the target.

[0186] In actual application scenarios, the model outputs a quantitative and optimal configuration list. For example, if the regional plan adds 100 million kilowatts of pumped storage installed capacity by 2030, the model will automatically simulate the system operation under various allocation schemes with the lowest total cost and the lowest curtailment rate as the target. The final optimal capacity configuration scheme is: A province adds 35 million kilowatts; B province adds 30 million kilowatts; C province adds 20 million kilowatts; and D province adds 15 million kilowatts. This capacity configuration scheme takes into account the differences in load, total adjustable capacity, new energy, and power grid structure of each province, and can minimize the overall operation cost of the regional power grid and achieve the best wind and light consumption effect.

[0187] As can be seen in the above scheme, the network structure, total adjustable capacity, load, and new energy prediction data of the regional power grid in the research level year are collected and organized. The regional power grid pumped storage capacity cross-province mutual aid research is carried out to reduce the overall system operation cost and new energy curtailment rate, and the pumped storage power station cross-province capacity configuration model is established. Combined with the total capacity of the pumped storage power station added in the regional power grid planning in the research level year, the optimal configuration analysis is carried out, and the optimal configuration scheme of the newly added pumped storage capacity among the provinces is obtained. The final configuration scheme can effectively reduce the start-stop times and fuel costs of the peak load thermal power units in the resource-poor provinces while not excessively weakening the comprehensive benefits of the resource-rich provinces, and at the same time, it can reduce the new energy curtailment rate, thereby significantly improving the overall operation economy of the regional power grid.

[0188] In an embodiment, a pumped storage power station cross-provincial capacity configuration device is provided, which corresponds to the pumped storage power station cross-provincial capacity configuration method in the above embodiment. As shown in the figure, the pumped storage power station cross-provincial capacity configuration device 100 comprises an acquisition module 101, a construction module 102 and a generation module 103. The functions of each module are described in detail as follows: Figure 2 The acquisition module 101 is configured to acquire system load prediction data, power installed capacity data, new energy output prediction data and cross-provincial power transmission channel capacity data of each province in the regional power grid in the research level year.

[0189] The construction module 102 is configured to construct a pumped storage power station cross-provincial capacity configuration model based on the system load prediction data, the power installed capacity data, the new energy output prediction data and the cross-provincial power transmission channel capacity data, with the minimum total operation cost of the regional power grid and the lowest new energy curtailment rate as the target, wherein the total operation cost of the regional power grid comprises the operation cost of the peak shaving thermal power, the operation cost of the thermal power start-stop and the construction cost of the pumped storage power station.

[0190] The generation module 103 is configured to execute the pumped storage power station cross-provincial capacity configuration model to obtain an optimal capacity configuration scheme of the pumped storage power station.

[0191] The present application provides a pumped storage power station cross-provincial capacity configuration device 100, which collects and organizes the grid structure, total adjustable capacity, load and new energy prediction data of the regional power grid in the research level year. With the goal of reducing the overall system operation cost and new energy curtailment rate of the regional power grid, the present application carries out a cross-provincial mutual aid research on the pumped storage capacity of the regional power grid, and establishes a pumped storage power station cross-provincial capacity configuration model. Combined with the total new capacity of the pumped storage power station in the regional power grid planning in the research level year, the present application performs an optimal configuration analysis and obtains an optimal configuration scheme of the new pumped storage capacity among provinces. By using the cross-provincial power transmission channel and unified dispatching mechanism of the regional power grid, the present application realizes the optimal allocation of resources at the regional level through cross-provincial mutual aid of pumped storage, which helps to improve the operation economy of the entire regional power grid and effectively solves the problem of uneven distribution of pumped storage resources in each province.

[0192] The specific limitations of the pumped storage power station cross-provincial capacity configuration device can be referred to the limitations of the pumped storage power station cross-provincial capacity configuration method in the above, which will not be repeated here. Each module in the above pumped storage power station cross-provincial capacity configuration device can be realized by software, hardware and their combinations. Each module can be embedded in or independent of the processor in the electronic device in hardware form, or can be stored in the memory in the electronic device in software form, so as to be called and executed by the processor to perform the operations corresponding to each module.

[0193] ​

[0194] In one embodiment, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned pumped storage power station cross-provincial capacity configuration method when executing the computer program.

[0195] In one embodiment, a computer readable storage medium is provided, which stores a computer program, wherein the computer program is executed by a processor to implement the above-mentioned pumped storage power station cross-provincial capacity configuration method.

[0196] It should be noted that the functions or steps that the above-mentioned computer readable storage medium or electronic device can achieve can correspond to the related descriptions of the server side and the client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0197] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments of the method. In the embodiments provided in the present application, any reference to memory, storage, database or other medium can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0198] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is exemplified. In actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the above-mentioned functions.

[0199] The above-described embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; 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 part of the technical features; 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, and should be included in the protection scope of the present application.

Claims

1. A method for inter-provincial capacity configuration of a pumped storage power station, characterized in that, The method comprises the steps of: acquiring system load prediction data, power installation composition data, new energy output prediction data, and cross-provincial transmission channel capacity data of each province in a regional power grid in a research level year; based on the system load prediction data, the power installation composition data, the new energy output prediction data, and the cross-provincial transmission channel capacity data, constructing a pumped storage power station cross-provincial capacity configuration model with the minimum total operation cost of the regional power grid and the lowest new energy curtailment rate as the target, wherein the total operation cost of the regional power grid comprises the operation cost of the peak shaving thermal power, the operation cost of the thermal power start-stop, and the construction cost of the pumped storage power station; executing the pumped storage power station cross-provincial capacity configuration model to obtain an optimal capacity configuration scheme of the pumped storage power station.

2. The method of claim 1, wherein, The step of constructing the pumped storage power station cross-provincial capacity configuration model with the minimum total operation cost of the regional power grid and the lowest new energy curtailment rate as the target based on the system load prediction data, the power installation composition data, the new energy output prediction data, and the cross-provincial transmission channel capacity data comprises the steps of: constructing a target function with the minimum total operation cost of the regional power grid and the lowest new energy curtailment rate as the target; based on the system load prediction data, the power installation composition data, the new energy output prediction data, and the cross-provincial transmission channel capacity data, setting a plurality of constraint conditions, wherein the constraint conditions comprise at least one of the following: thermal power output constraint, hydropower output constraint, nuclear power output constraint, external power constraint, pumped storage output constraint, new energy output constraint, and power balance constraint; based on the target function and the plurality of constraint conditions, constructing the pumped storage power station cross-provincial capacity configuration model.

3. The method of claim 2, wherein, The thermal power output constraint comprises at least one of the following: constant constraint of non-adjustable thermal power output, upper and lower limit constraint of adjustable thermal power output, adjustable thermal power start-stop power constraint, adjustable thermal power start-stop upper limit constraint, upper and lower limit constraint of peak shaving thermal power output, and peak shaving thermal power start-stop change rate constraint.

4. The method of claim 2, wherein, The pumped storage output constraint comprises at least one of the following: upper and lower limit constraint of pumped storage power station output, upper reservoir capacity constraint of pumped storage power station, and energy storage amount constraint of pumped storage power station at the beginning and end of the dispatching period.

5. The method of claim 2, wherein, The new energy output constraint comprises at least one of the following: new energy grid-connected power constraint, new energy curtailment constraint, and new energy power balance constraint.

6. The method of claim 2, wherein, The step of executing the pumped storage power station cross-provincial capacity configuration model to obtain an optimal capacity configuration scheme of the pumped storage power station comprises the steps of:

7. The method of claim 1, wherein, acquiring a preset installed capacity of the pumped storage power station in the research level year; inputting the system load prediction data, the power installation composition data, the new energy output prediction data, the cross-provincial transmission channel capacity data, and the preset installed capacity of the pumped storage power station into the pumped storage power station cross-provincial capacity configuration model for solving to obtain an optimal solution of the target function with the minimum total operation cost of the regional power grid and the lowest new energy curtailment rate as the target, as the optimal capacity configuration scheme of the pumped storage power station. The method comprises the steps of:

8. A device for implementing the method of claim 1 for configuring the cross-provincial capacity of a pumped storage power station, characterized in that, ​ An acquisition module is configured to acquire system load prediction data, power installation composition data, new energy output prediction data, and cross-province transmission channel capacity data of each province in a regional power grid in a research level year; A construction module is configured to construct a pumped storage power station cross-province capacity configuration model based on the system load prediction data, the power installation composition data, the new energy output prediction data, and the cross-province transmission channel capacity data, with the minimum total cost of the regional power grid operation and the lowest new energy curtailment rate as the target, wherein the total cost of the regional power grid operation includes a peak shaving thermal power operation cost, a thermal power start-stop operation cost, and a pumped storage power station construction cost; A generation module is configured to execute the pumped storage power station cross-province capacity configuration model to obtain an optimal capacity configuration scheme of the pumped storage power station.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the pumped storage power station cross-province capacity configuration method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed by the processor to implement the steps of the pumped storage power station cross-province capacity configuration method according to any one of claims 1 to 7.

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