A method, apparatus, and electronic equipment for determining a multi-energy complementary system power generation scheme.

Abstract

This invention discloses a method, apparatus, and electronic equipment for determining a power generation scheme for a multi-energy complementary system. The method involves acquiring decision information about the multi-energy complementary system, at least one evaluation object, and a first dataset; determining a benefit-risk assessment index system for the multi-energy complementary system based on at least one evaluation object; determining the correlation between decision information and forecast information; dividing the scheduling period of the multi-energy complementary system into a day-ahead execution phase, a day-ahead rolling decision phase, and a residual period phase based on the correlation, short-term forecast information, and medium-term forecast information; coupling the day-ahead execution phase, the day-ahead rolling decision phase, and the residual period phase based on the benefit-risk assessment index system and the first dataset to obtain a second dataset; determining an objective function based on the second dataset; and obtaining a power generation scheme that satisfies the benefit-risk balance of the multi-energy complementary system based on the objective function, which can simultaneously consider the benefits and risks of different stages within the scheduling period.

Description

Technical Field

[0001] This invention relates to the field of hydro-wind-solar hybrid dispatching technology, specifically to a method, apparatus, and electronic equipment for determining a power generation scheme for a multi-energy complementary system. Background Technology

[0002] Risk assessment of multi-energy complementary systems has always been a major concern. With the integration of non-regulatory energy sources into the grid, system uncertainties are increasing, inevitably leading to risks such as wind, solar, and hydropower curtailment, and insufficient power generation, especially prominent in short-term complementary dispatch. Utilizing the complementarity of energy sources and the regulating capacity of hydropower can effectively mitigate system output fluctuations and reduce the risk of wind and solar curtailment. However, if excessive hydropower is used in the daytime phase to mitigate wind and solar fluctuations, the remaining phases may face even more severe wind and solar curtailment risks due to insufficient hydropower regulation. Conversely, the overall benefits may not be maximized. Therefore, research on how to rationally and quantitatively assess system risks and effectively balance benefits and risks through corresponding dispatch strategies is essential for short-term complementary dispatch of hydro-wind-solar systems. The rational formulation of short-term power generation plans for hydro-wind-solar systems is a multi-stage problem.

[0003] Current research on short-term scheduling of multi-energy complementary systems mostly focuses on intraday optimization. There are few studies that consider different forecast periods and hydropower regulation capabilities for short-term complementary scheduling of water, wind and solar power, and there is also a lack of application analysis of actual engineering cases. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a method, apparatus and electronic equipment for determining a power generation scheme for a multi-energy complementary system, in order to solve the technical problem that the short-term scheduling of multi-energy complementary systems in the prior art focuses on intraday optimization and does not consider the benefits and risks of different forecast periods.

[0005] The technical solution proposed in this invention is as follows:

[0006] In a first aspect, embodiments of the present invention provide a method for determining a power generation scheme for a multi-energy complementary system. The method includes: acquiring decision information of the multi-energy complementary system, at least one evaluation object, and a first dataset; the decision information reflecting the combined stability of hydropower units in the multi-energy complementary system; the evaluation object reflecting the benefits or risks of the multi-energy complementary system; and the first dataset reflecting forecast information, including short-term and medium-term forecast information; determining a benefit-risk evaluation index system for the multi-energy complementary system based on the at least one evaluation object; and determining the correlation between the decision information and the forecast information, wherein the correlation reflects the benefits or risks of the hydropower units. The system considers changes in the forecast information; based on the correlation, the short-term forecast information, and the medium-term forecast information, the scheduling period of the multi-energy complementary system is divided into a day-ahead execution phase, a day-ahead rolling decision phase, and a residual period phase; based on the benefit-risk evaluation index system and the first dataset, the day-ahead execution phase, the day-ahead rolling decision phase, and the residual period phase are coupled to obtain a second dataset, which reflects the total benefit and total risk of the multi-energy complementary system during the scheduling period; an objective function is determined based on the second dataset; based on the second dataset and the objective function, a power generation scheme that satisfies the benefit-risk balance of the multi-energy complementary system is obtained.

[0007] In conjunction with the first aspect, in one possible implementation of the first aspect, based on the correlation, the short-term forecast information, and the medium-term forecast information, the scheduling period of the multi-energy complementary system is divided into a day-ahead execution phase, a day-ahead rolling decision phase, and a reserve period phase, including: when the hydropower unit combination is constant and does not change with the forecast information, the scheduling period of the multi-energy complementary system is divided into a day-ahead execution phase based on the decision information and the short-term forecast information; when the hydropower units are updated on a rolling basis with the updates of the forecast information, the scheduling period of the multi-energy complementary system is divided into a day-ahead rolling decision phase based on the decision information and the short-term forecast information; when the reserve benefits of the multi-energy complementary system change with the day-ahead scheduling results, the scheduling period of the multi-energy complementary system is divided into a reserve period phase based on the decision information and the medium-term forecast information, wherein the day-ahead scheduling result is the day-ahead scheduling result of the multi-energy complementary system.

[0008] In conjunction with the first aspect, in another possible implementation of the first aspect, the multi-energy complementary system is a water-wind-solar complementary system.

[0009] In conjunction with the first aspect, in another possible implementation of the first aspect, the benefit-risk evaluation index system includes: power generation benefit, power curtailment risk, under-generation risk, and water curtailment risk.

[0010] In conjunction with the first aspect, in another possible implementation of the first aspect, the second dataset includes the total power generation, total under-generation risk, total curtailment risk, total water curtailment risk, total curtailment rate, and total under-generation rate of the multi-energy complementary system during the scheduling period.

[0011] In conjunction with the first aspect, in another possible implementation of the first aspect, the objective function includes a first objective sub-function and a second objective sub-function; determining the objective function based on the second dataset includes: determining the first objective sub-function based on the total curtailment rate; and determining the second objective sub-function based on the total power generation.

[0012] In conjunction with the first aspect, in another possible implementation of the first aspect, the short-term forecast information includes at least one scenario, and the medium-term forecast information includes at least one scenario; based on the benefit-risk assessment index system and the first dataset, the day-ahead execution phase, the day-ahead rolling decision phase, and the residual period phase are coupled to obtain the total power generation of the multi-energy complementary system during the scheduling period, including: obtaining the total number of first scenarios in the day-ahead phase and the total number of second scenarios in the residual period phase, wherein the day-ahead phase includes the day-ahead execution phase and the day-ahead rolling decision phase; obtaining the first scenario in the day-ahead phase based on the short-term forecast information; obtaining the second scenario in the residual period phase based on the medium-term forecast information; obtaining the planned output of the hydro-wind-solar complementary system under the first scenario and the residual benefit of the hydro-wind-solar complementary system under the second scenario based on the benefit-risk assessment index system; and determining the total power generation of the hydro-wind-solar complementary system during the scheduling period based on the planned output, the residual benefit, the total number of the first scenario, and the total number of the second scenario.

[0013] In conjunction with the first aspect, in another possible implementation of the first aspect, based on the benefit-risk assessment index system and the first dataset, the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage are coupled to obtain the total under-generation risk and total curtailment risk of the multi-energy complementary system during the dispatch period. This includes: obtaining the total power generation and day-ahead power generation plan of the hydro-wind-solar complementary system under the combination of the first and second scenarios based on the benefit-risk assessment index system; determining the under-generation frequency function and curtailment frequency function of the hydro-wind-solar complementary system based on the total power generation and the day-ahead power generation plan; determining the total under-generation risk of the hydro-wind-solar complementary system during the dispatch period based on the total power generation, the day-ahead power generation plan, and the under-generation frequency function; and determining the total curtailment risk of the hydro-wind-solar complementary system during the dispatch period based on the total power generation, the day-ahead power generation plan, and the curtailment frequency function.

[0014] In conjunction with the first aspect, in another possible implementation of the first aspect, based on the benefit-risk assessment index system and the first dataset, the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage are coupled to obtain the total water abandonment risk of the multi-energy complementary system during the scheduling period. This includes: based on the benefit-risk assessment index system, obtaining the reservoir discharge flow and hydropower generation flow corresponding to the hydro-wind-solar complementary system under the combination of the first and second scenarios; determining the water abandonment frequency function of the hydro-wind-solar complementary system based on the reservoir discharge flow and the hydropower generation flow; and determining the total water abandonment risk of the hydro-wind-solar complementary system during the scheduling period based on the reservoir discharge flow, the hydropower generation flow, and the water abandonment frequency function.

[0015] In conjunction with the first aspect, in another possible implementation of the first aspect, based on the benefit-risk assessment index system and the first dataset, the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage are coupled to obtain the total curtailment rate and total under-generation rate of the multi-energy complementary system during the dispatch period. This includes: obtaining the total wind and solar output of the hydro-wind-solar complementary system under the combination of the first and second scenarios based on the benefit-risk assessment index system; determining the total curtailment rate of the hydro-wind-solar complementary system during the dispatch period based on the benefit-risk assessment index system and the total wind and solar output; and determining the total under-generation rate of the hydro-wind-solar complementary system during the dispatch period based on the benefit-risk assessment index system and the total power generation.

[0016] Secondly, embodiments of the present invention provide an apparatus for determining a power generation scheme for a multi-energy complementary system. The apparatus includes: an acquisition module for acquiring decision information of the multi-energy complementary system, at least one evaluation object, and a first dataset; the decision information reflecting the combined stability of hydropower units in the multi-energy complementary system; the evaluation object reflecting the benefits or risks of the multi-energy complementary system; and the first dataset reflecting forecast information, including short-term and medium-term forecast information; a first determination module for determining a benefit-risk evaluation index system for the multi-energy complementary system based on the at least one evaluation object; and a second determination module for determining the correlation between the decision information and the forecast information, the correlation reflecting the combined stability of hydropower units in the multi-energy complementary system. The system comprises: a forecast module for analyzing changes in forecast information; a division module for dividing the scheduling period of the multi-energy complementary system into a day-ahead execution phase, a day-ahead rolling decision phase, and a residual period phase based on the correlation, the short-term forecast information, and the medium-term forecast information; a processing module for coupling the day-ahead execution phase, the day-ahead rolling decision phase, and the residual period phase based on the benefit-risk evaluation index system and the first dataset to obtain a second dataset, which reflects the total benefit and total risk of the multi-energy complementary system during the scheduling period; a third determination module for determining an objective function based on the second dataset; and a fourth determination module for obtaining a power generation scheme that satisfies the benefit-risk balance of the multi-energy complementary system based on the second dataset and the objective function.

[0017] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing computer instructions for causing the computer to perform the method for determining a multi-energy complementary system power generation scheme as described in the first aspect and any one of the embodiments of the present invention.

[0018] Fourthly, embodiments of the present invention provide an electronic device, including: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the method for determining a multi-energy complementary system power generation scheme as described in the first aspect and any one of the embodiments of the present invention.

[0019] The technical solution provided by this invention has the following effects:

[0020] The method for determining the power generation scheme of a multi-energy complementary system provided in this invention divides the scheduling period of the multi-energy complementary system and considers the benefits and risks of different stages within the scheduling period. This provides a new approach for formulating power generation plans for multi-energy complementary systems and solves the problem that existing methods only consider intraday benefits and risks while ignoring the benefits and risks of the remaining stages. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a flowchart of a method for determining a power generation scheme for a multi-energy complementary system according to an embodiment of the present invention;

[0023] Figure 2 This is a structural block diagram of an apparatus for determining a power generation scheme of a multi-energy complementary system according to an embodiment of the present invention;

[0024] Figure 3 This is a schematic diagram of the structure of a computer-readable storage medium provided according to an embodiment of the present invention;

[0025] Figure 4 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] This invention provides a method for determining a power generation scheme for a multi-energy complementary system, such as... Figure 1 As shown, the method includes the following steps:

[0028] Step 101: Obtain the decision information of the multi-energy complementary system, at least one evaluation object, and a first dataset.

[0029] Among them, multi-energy complementary systems are an extension of traditional distributed energy applications and a concrete manifestation of the integrated concept in the field of energy system engineering, enabling the application of distributed energy to expand from points to areas and from local to systemic.

[0030] Decision information reflects the combination of corresponding hydropower units in a multi-energy complementary system. For example, the decision information can indicate whether the combination of multiple hydropower units is constant or not.

[0031] The assessment object reflects the benefits or risks of a multi-energy complementary system, and can generally be determined based on the types of energy sources. For example, when the multi-energy complementary system is a wind-solar complementary system, the assessment object can include the magnitude of wind and solar power output.

[0032] The first dataset reflects forecast information, including short-term and medium-term forecasts. Forecast information refers to weather forecasts; short-term forecasts indicate forecasts for the next short period; and medium-term forecasts indicate forecasts for the next long period. For example, short-term forecasts may be for the next day, while medium-term forecasts may be for the next two to seven days.

[0033] Step 102: Based on the at least one evaluation object, determine the benefit and risk evaluation index system of the multi-energy complementary system.

[0034] Specifically, the evaluation object reflects the benefits or risks of a multi-energy complementary system. Therefore, the benefit and risk evaluation index system of a multi-energy complementary system can be determined based on the evaluation object.

[0035] Step 103: Determine the correlation between the decision information and the forecast information, wherein the correlation reflects the changes of the hydropower unit with the forecast information.

[0036] Specifically, the correlation can include: the hydropower unit combination is constant and does not change with forecast information; the hydropower unit combination is adjusted according to changes in forecast information, etc.

[0037] Step 104: Based on the correlation, the short-term forecast information and the medium-term forecast information, the scheduling period of the multi-energy complementary system is divided into the day-ahead execution stage, the day-ahead rolling decision stage and the residual period stage.

[0038] Specifically, different forecast information leads to changes in correlations. Therefore, based on different forecast information and corresponding correlations, the scheduling period of a multi-energy complementary system can be divided into different stages, including the day-ahead stage and the residual period stage. The day-ahead stage can be further divided into the day-ahead execution stage and the day-ahead rolling decision stage.

[0039] Step 105: Based on the benefit-risk assessment index system and the first dataset, couple the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage to obtain the second dataset.

[0040] The data in the second dataset can reflect the total benefits and total risks of the multi-energy complementary system during the scheduling period.

[0041] Specifically, based on the benefit-risk evaluation index system and the short-term and medium-term forecast information included in the first dataset, the benefits and risks of the multi-energy complementary system in each stage of the scheduling period (day-ahead execution stage, day-ahead rolling decision stage, and residual period stage) can be obtained. By coupling the benefits and risks in each stage, the total benefits and total risks of the multi-energy complementary system in the scheduling period can be obtained.

[0042] Step 106: Determine the objective function based on the second dataset.

[0043] Specifically, when determining a multi-energy complementary system power generation scheme, it is necessary to consider both the benefits and risks of the system. Therefore, to achieve a balance between benefits and risks, an objective function needs to be set.

[0044] Since the second dataset reflects the total benefits and total risks of the multi-energy complementary system during the scheduling period, the objective function can be determined based on the total benefits and total risks contained in the second dataset.

[0045] Step 107: Based on the second dataset, and through the objective function, a power generation scheme that satisfies the balance between the benefits and risks of a multi-energy complementary system is obtained.

[0046] Specifically, by comprehensively considering the total benefits and risks of a multi-energy complementary system and processing it through an objective function, a balance between the benefits and risks of the multi-energy complementary system can be achieved, and a corresponding power generation scheme can be obtained.

[0047] The method for determining the power generation scheme of a multi-energy complementary system provided in this invention divides the scheduling period of the multi-energy complementary system and considers the benefits and risks of different stages within the scheduling period. This provides a new approach for formulating power generation plans for multi-energy complementary systems and solves the problem that existing methods only consider intraday benefits and risks while ignoring the benefits and risks of the remaining stages.

[0048] As an optional implementation of this invention, the scheduling period includes a day-ahead phase and a residual phase. Step 104 includes: when the hydropower unit combination is constant and does not change with the forecast information, the scheduling period of the multi-energy complementary system is divided into a day-ahead execution phase based on the decision information and the short-term forecast information; when the hydropower units are updated on a rolling basis with the update of the forecast information, the scheduling period of the multi-energy complementary system is divided into a day-ahead rolling decision phase based on the decision information and the short-term forecast information; when the reserved benefits of the multi-energy complementary system change with the day-ahead scheduling results, the scheduling period of the multi-energy complementary system is divided into a residual phase based on the decision information and the medium-term forecast information. The day-ahead scheduling result refers to the day-ahead scheduling result of the multi-energy complementary system.

[0049] Specifically, in the day-ahead phase, the day-ahead power generation plan is formulated by using short-term forecast information. Taking into account the adjustable and non-adjustable phases of the day-ahead hydropower units, the day-ahead phase can be further divided into two phases: the non-adjustable phase, which takes into account the start-up and shutdown plans of the hydropower units and considers that the hydropower units are non-adjustable during the upcoming period; and the adjustable phase, in which the hydropower units can be further adjusted as the forecast information is updated.

[0050] During the residual period, the power generation plan for the residual period is formulated by using medium-term forecast information and taking into account the benefits and risks of the residual period.

[0051] In summary, based on the principles of forecast and decision-making information, the entire scheduling period can be divided into the following stages:

[0052] 1) First stage (day-ahead execution stage): Considering short-term forecast information, the corresponding hydropower unit combination in the multi-energy complementary system remains constant and does not change with the forecast information;

[0053] 2) Second stage (day-ahead rolling decision stage): Considering short-term forecast information, the corresponding hydropower unit combination in the multi-energy complementary system can be adjusted according to the changes in forecast information. Combined with the first stage, the day-ahead power generation plan of the multi-energy complementary system is formulated, such as the grid-connected power plan at 96 points.

[0054] 3) The third stage (residual period stage): This stage considers medium-term forecast information, i.e., the forecast period is from the future to the maximum forecast period. For example, if the system's forecast period is 7 days, the residual period information covers the period from day 2 to day 7.

[0055] The first and second phases are both day-ahead phases, and the third phase is the residual period phase.

[0056] As an optional implementation of the present invention, when the multi-energy complementary system is a hydro-wind-solar complementary system, the benefit-risk evaluation index system includes: power generation benefit, power curtailment risk, under-generation risk, and water curtailment risk.

[0057] Due to the significant fluctuations in wind and solar power output, coupled with the limited regulation capacity of hydropower, hydro-wind-solar systems inevitably face certain risks in order to meet load demands. For example, when the total output of a hydro-wind-solar hybrid system exceeds load demand, there is a risk of power curtailment. Conversely, there may also be a risk of insufficient output (under-generation risk). Insufficient hydropower regulation capacity may lead to water curtailment risk. Therefore, a benefit-risk evaluation index system should be established, encompassing power generation benefits, power curtailment risk, under-generation risk, and water curtailment risk.

[0058] 1) Power generation benefits

[0059] The power generation benefit of a hydro-wind-solar hybrid system is mainly the sum of the actual power generation from hydropower, wind power, and solar power, i.e., the total power generation minus the amount of wasted power. Therefore, the actual power output P of the hydro-wind-solar hybrid system...WSH It can be expressed by relation (1):

[0060]

[0061] Where: N W (t), N S (t), N H (t) and N PC (t) represents the wind power output, solar power output, hydropower output, and curtailment output of the hydro-wind-solar hybrid system during time period t, respectively; T represents the number of scheduling periods within the day, and Δt is the length of the scheduling period.

[0062] 2) Risk of power curtailment

[0063] When the total output of a hydro-wind-solar hybrid system exceeds the load demand, the system will experience power curtailment. Alternatively, when the output of hydro-wind-solar power exceeds the maximum output capacity, the system must curtail a portion of the electricity. For hydro-wind-solar hybrid systems, priority should be given to curtailing unstable wind or solar power. Among these, curtailment indicators include curtailment risk and curtailment rate. Curtailment risk represents the probability of the number of scenarios in which curtailment occurs, and curtailment rate represents the proportion of curtailed wind and solar power to the total wind and solar power generation, which can be expressed by the relationship (2):

[0064]

[0065] In the formula: R pc This indicates the risk of power curtailment in hydro-wind-solar hybrid systems; γ PC N represents the curtailment rate of the hydro-wind-solar hybrid system; T N represents the total planned output of the hydro-wind-solar hybrid system; L l1 represents the total load of the hydro-wind-solar hybrid system; l1 represents the number of scenarios in which power curtailment occurs.

[0066] 3) Risk of underpayment

[0067] When the wind and solar power output is low and the hydropower regulation capacity is insufficient, the hydro-wind-solar hybrid system will experience under-generation. Under-generation indicators include under-generation risk and under-generation rate. Under-generation risk represents the probability of an under-generation scenario occurring, and the under-generation rate represents the ratio of under-generation amount to load demand, which can be expressed by equation (3):

[0068]

[0069] In the formula: R OS This indicates the under-generation risk of hydro-wind-solar hybrid systems; γ OS N represents the underpowerment rate of a hydro-wind-solar hybrid system. OS (t) represents the under-generation of the hydro-wind-solar hybrid system during time period t; l2 represents the number of scenarios in which power curtailment occurs.

[0070] 4) Risk of water abandonment

[0071] When the reservoir discharge exceeds the power generation consumption, the hydro-wind-solar hybrid system will face the risk of water wastage. SW It can be expressed by relation (4):

[0072]

[0073] In relation (4): Q dis Indicates the reservoir discharge flow; Q pg l3 represents the power generation flow of the hydroelectric generator unit; l3 represents the number of scenarios in which water is wasted.

[0074] As an optional implementation of this invention, the short-term forecast information includes at least one scenario, and the medium-term forecast information includes at least one scenario; based on the benefit-risk assessment index system and the first dataset, the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage are coupled to obtain the total power generation of the multi-energy complementary system during the dispatch period, including: obtaining the total number of first scenarios in the day-ahead stage and the total number of second scenarios in the residual period stage; obtaining the first scenario in the day-ahead stage based on the short-term forecast information; obtaining the second scenario in the residual period stage based on the medium-term forecast information; obtaining the planned output of the hydro-wind-solar complementary system under the first scenario and the residual benefit of the hydro-wind-solar complementary system under the second scenario based on the benefit-risk assessment index system; and determining the total power generation of the hydro-wind-solar complementary system during the dispatch period based on the planned output, the residual benefit, the total number of the first scenario, and the total number of the second scenario.

[0075] Specifically, the total power generation of the hydro-wind-solar hybrid system during the dispatch period can be obtained through the following formula (5):

[0076]

[0077] In the formula: P T The total power generation of the hydro-wind-solar hybrid system during the dispatch period is represented by: i represents the first scenario; j represents the second scenario; P D，i The planned output can be the sum of any combination of wind power output, solar power output, hydropower output, and curtailed power output mentioned in formula (1); P R，j (i) represents the residual benefits of the hydro-wind-solar hybrid system under the corresponding residual period second scenario, based on the first scenario in the day-ahead phase; M1 represents the total number of the first scenario; M2 represents the total number of the second scenario.

[0078] As an optional implementation of this invention, based on the benefit-risk assessment index system and the first dataset, the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage are coupled to obtain the total under-generation risk and total curtailment risk of the multi-energy complementary system during the dispatch period. This includes: obtaining the total power generation and day-ahead power generation plan of the hydro-wind-solar complementary system under the combination of the first and second scenarios based on the benefit-risk assessment index system; determining the under-generation frequency function and curtailment frequency function of the hydro-wind-solar complementary system based on the total power generation and the day-ahead power generation plan; determining the total under-generation risk of the hydro-wind-solar complementary system during the dispatch period based on the total power generation, the day-ahead power generation plan, and the under-generation frequency function; and determining the total curtailment risk of the hydro-wind-solar complementary system during the dispatch period based on the total power generation, the day-ahead power generation plan, and the curtailment frequency function.

[0079] Specifically, the total under-generation risk of the hydro-wind-solar hybrid system during the scheduling period can be obtained through the following formula (6):

[0080]

[0081] In the formula: R OS，T Indicates the risk of total underpayment; N T，i，j N represents the total power generation of the hydro-wind-solar hybrid system under the combination of scenario i and scenario j; L，i，j represents the day-ahead power generation plan of the hydro-wind-solar hybrid system under the combination of scenario i and scenario j; #(·) represents the under-generation frequency function of the hydro-wind-solar hybrid system.

[0082] The total curtailment risk of the hydro-wind-solar hybrid system during the dispatch period can be obtained using the following formula (7):

[0083]

[0084] In the formula: R PC，T denoted as the total curtailment risk; f(·) represents the curtailment frequency function of the hydro-wind-solar hybrid system.

[0085] As an optional implementation of this invention, based on the benefit-risk assessment index system and the first dataset, the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage are coupled to obtain the total water abandonment risk of the multi-energy complementary system during the scheduling period. This includes: based on the benefit-risk assessment index system, obtaining the reservoir discharge flow and hydropower generation flow corresponding to the hydro-wind-solar complementary system under the combination of the first and second scenarios; determining the water abandonment frequency function of the hydro-wind-solar complementary system based on the reservoir discharge flow and the hydropower generation flow; and determining the total water abandonment risk of the hydro-wind-solar complementary system during the scheduling period based on the reservoir discharge flow, the hydropower generation flow, and the water abandonment frequency function.

[0086] Specifically, the total water wastage risk of the hydro-wind-solar hybrid system during the scheduling period can be obtained through the following formula (8):

[0087]

[0088] In the formula: R SW，T Indicates the total risk of water wastage; Q dis，i，j Q represents the reservoir discharge flow corresponding to the combined wind-solar hybrid system under the first scenario i and the second scenario j; pg，i，j Let g(·) represent the corresponding hydropower generation flow rate of the hydro-wind-solar hybrid system under the combination of the first scenario i and the second scenario j; g(·) represents the water abandonment frequency function of the hydro-wind-solar hybrid system.

[0089] As an optional implementation of this invention, based on the benefit-risk assessment index system and the first dataset, the day-ahead execution stage, the day-ahead rolling decision stage, and the residual period stage are coupled to obtain the total curtailment rate and total under-generation rate of the multi-energy complementary system during the dispatch period. This includes: obtaining the total wind and solar output of the hydro-wind-solar complementary system under the first scenario and the second scenario combination based on the benefit-risk assessment index system; determining the total curtailment rate of the hydro-wind-solar complementary system during the dispatch period based on the benefit-risk assessment index system and the total wind and solar output; and determining the total under-generation rate of the hydro-wind-solar complementary system during the dispatch period based on the benefit-risk assessment index system and the total power generation.

[0090] Specifically, the total curtailment rate of the hydro-wind-solar hybrid system during the dispatch period can be obtained through the following formula (9):

[0091]

[0092] In the formula: γ PC, N represents the total curtailment rate; PC，D，i express

[0093] Specifically, the total under-generation rate of the hydro-wind-solar hybrid system during the scheduling period can be obtained through the following formula (10):

[0094]

[0095] In the formula: γ OS, N represents the total underpayment rate; OS，D，i N represents the day-ahead under-generation of the hydro-wind-solar hybrid system under scenario i; OS，R，i This represents the under-generation amount during the residual period of the hydro-wind-solar hybrid system under scenario i.

[0096] As an optional implementation of the present invention, when the multi-energy complementary system is a hydro-wind-solar complementary system, the objective function is determined based on the second dataset, including: determining a first objective sub-function based on the total curtailment rate; and determining a second objective sub-function based on the total power generation.

[0097] First, for a hydro-wind-solar hybrid system, excessive under-generation is undesirable. Therefore, the under-generation rate is constrained to 1% or a smaller range, and the total curtailment rate in the second dataset will be used as the first objective sub-function of the optimization model.

[0098] Secondly, to increase power generation efficiency, the total power generation of the complementary hydro-wind-solar system should be maximized under the same total curtailment rate. Therefore, the second objective function of the optimization model is to maximize power generation, that is, the second objective function is determined based on the total power generation.

[0099] Finally, based on the total power generation, total under-generation risk, total curtailment risk, total water curtailment risk, total curtailment rate, and total under-generation rate of the hydro-wind-solar hybrid system during the dispatch period, the power generation scheme that satisfies the balance between benefits and risks of the hydro-wind-solar hybrid system can be determined through the first objective sub-function and the second objective sub-function.

[0100] In one example, taking the Yalong River Guandi Hydropower-Wind-Solar Hybrid Power Station as an example, a typical day from each month in 2016 was selected. The total forecast period for hydropower, wind, and solar power was 3 days, with both the initial and final water levels at 1328m. The optimization results are compared with those of the two-stage model without considering unit rolling decisions, as shown in Table 1 below. Table 1 shows that the average power generation of the hydropower-wind-solar system based on the three-stage model can be increased by 2.23 GWh, and the average curtailment rate is reduced by 0.26%. The under-generation rate is controlled within the 1% threshold range. The results demonstrate that the method for determining the power generation scheme of a multi-energy complementary system provided by this embodiment effectively improves the economy and safety of the multi-energy complementary system.

[0101] Table 1. Risk-benefit comparison results of the two-stage and three-stage models.

[0102]

[0103] This invention also provides an apparatus for determining a power generation scheme for a multi-energy complementary system, such as... Figure 2 As shown, the device includes:

[0104] The acquisition module 201 is used to acquire decision information of the multi-energy complementary system, at least one evaluation object, and a first dataset. The decision information reflects the combined stability of the hydropower units in the multi-energy complementary system, the evaluation object reflects the benefits or risks of the multi-energy complementary system, and the first dataset reflects forecast information, including short-term forecast information and medium-term forecast information. For details, please refer to the relevant description of step 101 in the above method embodiment.

[0105] The first determining module 202 is used to determine the benefit and risk assessment index system of the multi-energy complementary system based on the at least one assessment object; for details, please refer to the relevant description of step 102 in the above method embodiment.

[0106] The second determining module 203 is used to determine the correlation between the decision information and the forecast information, wherein the correlation reflects the changes of the hydropower unit with the forecast information; for details, please refer to the relevant description of step 103 in the above method embodiment.

[0107] The partitioning module 204 is used to divide the scheduling period of the multi-energy complementary system into a day-ahead execution phase, a day-ahead rolling decision phase, and a residual period phase based on the correlation, the short-term forecast information, and the medium-term forecast information; for details, please refer to the relevant description of step 104 in the above method embodiment.

[0108] Processing module 205 is used to couple the day-ahead execution stage, day-ahead rolling decision stage and residual period stage based on the benefit-risk evaluation index system and the first dataset to obtain a second dataset. The second dataset reflects the total benefit and total risk of the multi-energy complementary system during the scheduling period. For details, please refer to the relevant description of step 105 in the above method embodiment.

[0109] The third determining module 206 is used to determine the objective function based on the second dataset; for details, please refer to the relevant description of step 106 in the above method embodiment.

[0110] The fourth determining module 207 is used to obtain a power generation scheme that satisfies the balance between the benefits and risks of a multi-energy complementary system based on the second dataset and the objective function; for details, please refer to the relevant description of step 107 in the above method embodiment.

[0111] The apparatus for determining the power generation scheme of a multi-energy complementary system provided in this embodiment of the invention divides the scheduling period of the multi-energy complementary system and considers the benefits and risks of different stages within the scheduling period. It provides a new approach for the formulation of power generation plans for multi-energy complementary systems and solves the problem that existing methods only consider intraday benefits and risks while ignoring the benefits and risks of the remaining stages.

[0112] As an optional implementation of this invention, the partitioning module includes: a first partitioning submodule, used to partition the scheduling period of the multi-energy complementary system into a day-ahead execution phase based on the decision information and the short-term forecast information when the hydropower unit combination is constant and does not change with the forecast information; a second partitioning submodule, used to partition the scheduling period of the multi-energy complementary system into a day-ahead rolling decision phase based on the decision information and the short-term forecast information when the hydropower units are updated on a rolling basis with the forecast information; and a third partitioning submodule, used to partition the scheduling period of the multi-energy complementary system into a residual period phase based on the decision information and the medium-term forecast information when the reserved benefits of the multi-energy complementary system change with the day-ahead scheduling results, wherein the day-ahead scheduling results are the day-ahead scheduling results of the multi-energy complementary system.

[0113] As an optional implementation of the present invention, the multi-energy complementary system is a water-wind-solar complementary system.

[0114] As an optional implementation of the present invention, the benefit-risk evaluation index system includes: power generation benefit, power curtailment risk, under-generation risk, and water curtailment risk.

[0115] As an optional implementation of the present invention, the second dataset includes the total power generation, total under-generation risk, total curtailment risk, total water curtailment risk, total curtailment rate, and total under-generation rate of the multi-energy complementary system during the scheduling period.

[0116] As an optional implementation of this invention, the objective function includes a first objective sub-function and a second objective sub-function; the third determining module includes: a third determining sub-module, used to determine the first objective sub-function based on the total curtailment rate; and a fourth determining sub-module, used to determine the second objective sub-function based on the total power generation.

[0117] As an optional implementation of this invention, the short-term forecast information includes at least one scenario, and the medium-term forecast information includes at least one scenario; the processing module includes: a first acquisition submodule, used to acquire the total number of first scenarios in the day-ahead phase and the total number of second scenarios in the residual period phase, wherein the day-ahead phase includes a day-ahead execution phase and a day-ahead rolling decision phase; a second acquisition submodule, used to acquire the first scenario in the day-ahead phase based on the short-term forecast information; a third acquisition submodule, used to acquire the second scenario in the residual period phase based on the medium-term forecast information; a fourth acquisition submodule, used to acquire the planned output of the hydro-wind-solar hybrid system under the first scenario and the residual benefit of the hydro-wind-solar hybrid system under the second scenario based on the benefit-risk assessment index system; and a first determination submodule, used to determine the total power generation of the hydro-wind-solar hybrid system during the dispatch period based on the planned output, the residual benefit, the total number of the first scenario, and the total number of the second scenario.

[0118] As an optional implementation of this invention, the processing module further includes: a fifth acquisition submodule, used to acquire the total power generation and day-ahead power generation plan of the hydro-wind-solar hybrid system under the combination of the first scenario and the second scenario based on the benefit-risk evaluation index system; a second determination submodule, used to determine the under-generation frequency function and curtailment frequency function of the hydro-wind-solar hybrid system based on the total power generation and the day-ahead power generation plan; a third determination submodule, used to determine the total under-generation risk of the hydro-wind-solar hybrid system during the dispatch period based on the total power generation, the day-ahead power generation plan and the under-generation frequency function; and a fourth determination submodule, used to determine the total curtailment risk of the hydro-wind-solar hybrid system during the dispatch period based on the total power generation, the day-ahead power generation plan and the curtailment frequency function.

[0119] As an optional implementation of this invention, the processing module further includes: a sixth acquisition submodule, used to acquire, based on the benefit-risk evaluation index system, the reservoir discharge flow and hydropower unit power generation flow corresponding to the water-wind-solar hybrid system under the combination of the first scenario and the second scenario; a fifth determination submodule, used to determine the water abandonment frequency function of the water-wind-solar hybrid system based on the reservoir discharge flow and the hydropower unit power generation flow; and a sixth determination submodule, used to determine the total water abandonment risk of the water-wind-solar hybrid system during the scheduling period based on the reservoir discharge flow, the hydropower unit power generation flow, and the water abandonment frequency function.

[0120] As an optional implementation of this invention, the processing module further includes: a seventh acquisition submodule, used to acquire the total wind and solar power output of the hydro-wind-solar hybrid system under the combination of the first scenario and the second scenario based on the benefit-risk assessment index system; a seventh determination submodule, used to determine the total curtailment rate of the hydro-wind-solar hybrid system during the dispatch period based on the benefit-risk assessment index system and the total wind and solar power output; and an eighth determination submodule, used to determine the total under-generation rate of the hydro-wind-solar hybrid system during the dispatch period based on the benefit-risk assessment index system and the total power generation.

[0121] For a detailed description of the function of the device for determining the power generation scheme of a multi-energy complementary system provided in the embodiments of the present invention, please refer to the method description for determining the power generation scheme of a multi-energy complementary system in the above embodiments.

[0122] This invention also provides a storage medium, such as... Figure 3 As shown, a computer program 301 is stored thereon. When executed by a processor, this program implements the steps of the method for determining a multi-energy complementary system power generation scheme in the above embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0123] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0124] This invention also provides an electronic device, such as... Figure 4 As shown, the electronic device may include a processor 41 and a memory 42, wherein the processor 41 and the memory 42 may be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0125] Processor 41 can be a central processing unit (CPU). Processor 41 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0126] The memory 42, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the corresponding program instructions / modules in the embodiments of the present invention. The processor 41 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 42, that is, implementing the method for determining the power generation scheme of the multi-energy complementary system in the above method embodiments.

[0127] The memory 42 may include a program storage area and a data storage area. The program storage area may store applications required for operating the device and at least one function; the data storage area may store data created by the processor 41, etc. Furthermore, the memory 42 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 42 may optionally include memory remotely located relative to the processor 41, and these remote memories may be connected to the processor 41 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0128] The one or more modules are stored in the memory 42, and when executed by the processor 41, they perform actions such as... Figure 1 The method for determining the power generation scheme of a multi-energy complementary system in the illustrated embodiment.

[0129] For specific details regarding the aforementioned electronic devices, please refer to the relevant documentation. Figure 1 The relevant descriptions and effects in the illustrated embodiments are for understanding purposes only and will not be repeated here.

[0130] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method of determining a power generation scheme for a multi-energy complementary system, characterized by, The method comprises: obtaining decision information of the multi-energy complementary system, at least one evaluation object and a first data set, the decision information reflecting the combination stability of hydroelectric generating units in the multi-energy complementary system, the evaluation object reflecting the benefit or risk of the multi-energy complementary system, and the first data set reflecting forecast information including short-term forecast information and medium-term forecast information, the multi-energy complementary system being a water-wind-solar complementary system; determining a benefit and risk evaluation index system of the multi-energy complementary system based on the at least one evaluation object; determining the association between the decision information and the forecast information, the association reflecting the change of the hydroelectric generating units with the forecast information; based on the association, the short-term forecast information and the medium-term forecast information, dividing a dispatching period of the multi-energy complementary system into a day-ahead execution stage, a day-ahead rolling decision stage and a residual period stage, the short-term forecast information including at least one scenario, and the medium-term forecast information including at least one scenario; based on the benefit and risk evaluation index system and the first data set, coupling the day-ahead execution stage, the day-ahead rolling decision stage and the residual period stage to obtain a second data set, the second data set reflecting the total benefit and total risk of the multi-energy complementary system in the dispatching period, including the total power generation, total under-generation risk, total curtailment risk, total water curtailment risk, total curtailment rate and total under-generation rate of the multi-energy complementary system in the dispatching period; determining a target function based on the second data set; based on the second data set, obtaining a power generation scheme that satisfies the balance between the benefit and risk of the multi-energy complementary system through the target function; wherein, based on the benefit and risk evaluation index system and the first data set, coupling the day-ahead execution stage, the day-ahead rolling decision stage and the residual period stage to obtain the total power generation of the multi-energy complementary system in the dispatching period, including: obtaining the total number of first scenarios in the day-ahead stage and the total number of second scenarios in the residual period stage, the day-ahead stage including the day-ahead execution stage and the day-ahead rolling decision stage; obtaining the first scenario in the day-ahead stage based on the short-term forecast information; obtaining the second scenario in the residual period stage based on the medium-term forecast information; obtaining the planned output of the water-wind-solar complementary system under the first scenario and the residual benefit of the water-wind-solar complementary system under the first scenario in the second scenario based on the benefit and risk evaluation index system; and determining the total power generation of the water-wind-solar complementary system in the dispatching period based on the planned output, the residual benefit, the total number of first scenarios and the total number of second scenarios; wherein, based on the benefit and risk evaluation index system and the first data set, coupling the day-ahead execution stage, the day-ahead rolling decision stage and the residual period stage to obtain the total under-generation risk and total curtailment risk of the multi-energy complementary system in the dispatching period, including: Based on the benefit risk evaluation index system, the total power generation and the day-ahead generation plan of the water, wind and light complementary system under the combination of the first scenario and the second scenario are obtained; based on the total power generation and the day-ahead generation plan, the under-generation frequency function and the power abandonment frequency function of the water, wind and light complementary system are determined; based on the total power generation, the day-ahead generation plan and the under-generation frequency function, the total under-generation risk of the water, wind and light complementary system in the dispatching period is determined; based on the total power generation, the day-ahead generation plan and the power abandonment frequency function, the total power abandonment risk of the water, wind and light complementary system in the dispatching period is determined; Wherein, based on the benefit risk evaluation index system and the first data set, the day-ahead execution stage, the day-ahead rolling decision stage and the remaining period stage are coupled and processed to obtain the total water abandonment risk of the multi-energy complementary system in the dispatching period, including: Based on the benefit risk evaluation index system, the corresponding reservoir discharge flow and the water turbine generation flow of the water, wind and light complementary system under the combination of the first scenario and the second scenario are obtained; based on the reservoir discharge flow and the water turbine generation flow, the water abandonment frequency function of the water, wind and light complementary system is determined; based on the reservoir discharge flow, the water turbine generation flow and the water abandonment frequency function, the total water abandonment risk of the water, wind and light complementary system in the dispatching period is determined; Wherein, based on the benefit risk evaluation index system and the first data set, the day-ahead execution stage, the day-ahead rolling decision stage and the remaining period stage are coupled and processed to obtain the total power abandonment rate and the total under-generation rate of the multi-energy complementary system in the dispatching period, including: Based on the benefit risk evaluation index system, the total wind and light output of the water, wind and light complementary system under the combination of the first scenario and the second scenario is obtained; based on the benefit risk evaluation index system and the total wind and light output, the total power abandonment rate of the water, wind and light complementary system in the dispatching period is determined; based on the benefit risk evaluation index system and the total power generation, the total under-generation rate of the water, wind and light complementary system in the dispatching period is determined.

2. The method of claim 1, wherein, Based on the correlation, the short-term forecast information and the medium-term forecast information, the dispatching period of the multi-energy complementary system is divided into a day-ahead execution stage, a day-ahead rolling decision stage and a remaining period stage, including: When the water turbine combination is constant and does not change with the change of the forecast information, based on the decision information and the short-term forecast information, the dispatching period of the multi-energy complementary system is divided into a day-ahead execution stage; When the water turbine is updated rolling with the update of the forecast information, based on the decision information and the short-term forecast information, the dispatching period of the multi-energy complementary system is divided into a day-ahead rolling decision stage; When the reserved benefit of the multi-energy complementary system changes with the change of the day-ahead scheduling result, based on the decision information and the medium-term forecast information, the dispatching period of the multi-energy complementary system is divided into a remaining period stage, and the day-ahead scheduling result is the day-ahead scheduling result of the multi-energy complementary system.

3. The method of claim 1, wherein, The benefit risk evaluation index system includes: power generation benefit, power abandonment risk, under-generation risk and water abandonment risk.

4. The method of claim 1, wherein, The objective function comprises a first objective sub-function and a second objective sub-function; Determine an objective function based on the second data set, comprising: Determine a first objective sub-function based on the total abandoned power rate; Determine a second objective sub-function based on the total power generation.

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