A flexible load control method and terminal

Abstract

The present invention discloses a flexible load regulation method and terminal, which determine the rated load of the flexible load in a target area; judge whether the output power of the power consumption side within the regulation period can meet the rated load of the flexible load, if not, identify the power consumption scenario corresponding to the flexible load within the regulation period, and determine the power supply urgency constraint of the flexible load according to the power consumption scenario; determine the reactive power supply constraint of the target area based on the reactive power balance of the target area; schedule the flexible load in the target area according to the output power of the power consumption side within the regulation period, the rated load of the flexible load, the power supply urgency constraint and the reactive power supply constraint; can distinguish different power consumption scenarios according to the regulation period, more accurately determine the power supply urgency constraint of the flexible load, and also consider the reactive power supply constraint of the target area during the regulation process, so as to more accurately match the supply and demand balance relationship between the power supply side and the power consumption side.

Description

Technical Field

[0001] The present invention relates to the field of flexible loads, and in particular to a flexible load control method and a terminal. Background Art

[0002] With the development of building electrification and the extensive use of smart home appliances, as well as global warming and the frequent occurrence of extreme weather, the load intensity in electricity consumption areas has gradually increased. For example, frequent extremely high temperatures in summer have caused rivers to dry up, and hydropower generation has been greatly reduced. At the same time, the use of air conditioners has greatly increased. However, due to limited space in urban areas, it is difficult to expand the capacity of the power system.

[0003] In the face of difficulties caused by extreme weather, the more practical solution at present is to use power system demand-side management and demand-side response to alleviate the problem of power supply and capacity expansion in urban areas, but it is difficult to play a role in the power expansion of distribution terminals, such as users in a community or a building. Therefore, it is necessary to explore a solution to the problem of power expansion in modern community renovation and office buildings and other office spaces. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a flexible load control method and terminal, which can solve the problem of power expansion in a fixed area.

[0005] In order to solve the above technical problems, a technical solution adopted by the present invention is:

[0006] A flexible load control method comprises the following steps:

[0007] S1. Determine the rated load of the flexible load in the target area;

[0008] S2, determining whether the output power of the power consumption side within the regulation cycle can meet the rated load of the flexible load, if not, executing S3;

[0009] S3, identifying the power usage scenario corresponding to the flexible load within the regulation cycle, and determining the power supply urgency constraint condition of the flexible load according to the power usage scenario;

[0010] S4. Determine reactive power supply constraint conditions of the target area based on reactive power balance of the target area;

[0011] S5. Scheduling the flexible load in the target area according to the output power of the power consumption side within the regulation cycle, the rated load of the flexible load, the power supply urgency constraint and the reactive power supply constraint.

[0012] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0013] A flexible load control terminal comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step in the flexible load control method is implemented.

[0014] The beneficial effects of the present invention are: determining the rated load of the flexible load in the target area, when the output power of the power consumption side cannot meet the rated load of the flexible load in the target area within the regulation cycle, identifying the power consumption scenario corresponding to the flexible load in the regulation cycle, determining the power supply urgency constraint of the flexible load according to the power consumption scenario, and determining the reactive power supply constraint of the target area based on the reactive balance of the target area, and finally scheduling the flexible load of the target area according to the output power of the power consumption side in the regulation cycle, the rated load of the flexible load, the power supply urgency constraint and the reactive power supply constraint; different power consumption scenarios can be distinguished according to the regulation cycle, the power supply urgency constraint of the flexible load can be determined more accurately, and the reactive power supply constraint of the target area is also considered in the regulation process, and the supply and demand balance relationship between the power supply side and the power consumption side can be matched more accurately, and the flexible load of the residential area and the office area can be dynamically adjusted to ensure stable power supply, and ensure that the power supply side and the demand side in the fixed area can be dynamically matched in real time, avoiding the traditional old way of occupying a large amount of physical space for power equipment expansion in the prior art, and solving the problem of fixed area power supply expansion in the prior art through dynamic regulation technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flowchart of a flexible load control method according to an embodiment of the present invention;

[0016] Figure 2 The figure is a schematic diagram of the structure of a flexible load control terminal according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.

[0018] Please refer to Figure 1 , a flexible load control method, comprising the steps of:

[0019] S1. Determine the rated load of the flexible load in the target area;

[0020] S2, determining whether the output power of the power consumption side within the regulation cycle can meet the rated load of the flexible load, if not, executing S3;

[0021] S3, identifying the power usage scenario corresponding to the flexible load within the regulation cycle, and determining the power supply urgency constraint condition of the flexible load according to the power usage scenario;

[0022] S4. Determine reactive power supply constraint conditions of the target area based on reactive power balance of the target area;

[0023] S5. Scheduling the flexible load in the target area according to the output power of the power consumption side within the regulation cycle, the rated load of the flexible load, the power supply urgency constraint and the reactive power supply constraint.

[0024] As can be seen from the above description, the beneficial effects of the present invention are: determining the rated load of the flexible load in the target area, when the output power of the power consumption side cannot meet the rated load of the flexible load in the target area within the regulation cycle, identifying the power consumption scenario corresponding to the flexible load in the regulation cycle, determining the power supply urgency constraint of the flexible load according to the power consumption scenario, and determining the reactive power supply constraint of the target area based on the reactive balance of the target area, and finally scheduling the flexible load of the target area according to the output power of the power consumption side, the rated load of the flexible load, the power supply urgency constraint and the reactive power supply constraint in the regulation cycle; different power consumption scenarios can be distinguished according to the regulation cycle, and the power supply urgency constraint of the flexible load can be determined more accurately, and the reactive power supply constraint of the target area is also considered in the regulation process, and the supply and demand balance relationship between the power supply side and the power consumption side can be matched more accurately, and the flexible loads of the residential area and the office area can be dynamically adjusted to ensure stable power supply, and ensure that the power supply side and the demand side in the fixed area can be dynamically matched in real time, avoiding the traditional old way of occupying a large amount of physical space for power equipment expansion in the prior art, and solving the problem of fixed area power supply expansion in the prior art through dynamic regulation technology.

[0025] Furthermore, the determining of the power supply urgency constraint condition of the flexible load according to the power usage scenario includes:

[0026] The power consumption urgency coefficient corresponding to the flexible load is determined according to the power consumption scenario, and the power supply urgency constraint condition of the flexible load is determined according to the power consumption urgency coefficient.

[0027] From the above description, it can be seen that the power urgency coefficient corresponding to the flexible load is determined according to the power usage scenario, and then the power urgency constraint level of the flexible load is determined according to the power urgency coefficient. Based on different power usage scenarios, the corresponding power urgency coefficient can be accurately matched for each flexible load, and the urgency of each flexible load in a specific power usage scenario can be accurately determined, thereby achieving more precise regulation.

[0028] Furthermore, the method further comprises the steps of:

[0029] dividing the flexible loads of the target area into a plurality of groups based on type;

[0030] Different power consumption scenarios are set according to different control cycles, and a corresponding power consumption urgency coefficient is set for each group of flexible loads in each power consumption scenario to form a power consumption urgency coefficient matrix;

[0031] The determining of the power consumption urgency coefficient corresponding to the flexible load according to the power consumption scenario includes:

[0032] The power usage urgency coefficient matrix is ​​matched to a corresponding power usage urgency coefficient according to the power usage scenario.

[0033] From the above description, it can be seen that for different power consumption scenarios that the target area may face, the power urgency coefficients of different groups of flexible equipment are distinguished based on different power consumption scenarios, and a power urgency coefficient matrix is ​​established. In the subsequent regulation process, the power consumption scenarios within the regulation cycle are identified, and the corresponding power urgency coefficients are matched from the power urgency coefficient matrix to achieve power consumption regulation. In this way, the power consumption scenarios of flexible loads under different conditions can be accurately matched, and the supply and demand balance relationship between the power supply side and the power consumption side can be more accurately matched to achieve stable power supply.

[0034] Furthermore, before S2, the step of:

[0035] Predict the output power of the power consumption side during the regulation cycle.

[0036] From the above description, it can be seen that before regulating the flexible load in the target area, the output power of the power consumption side within the regulation period is predicted first, so as to predict whether the full operating power consumption of the flexible load within the regulation period can be met, thereby improving the reliability and stability of subsequent actual operation.

[0037] Furthermore, the prediction of the output power of the power consumption side within the regulation cycle includes:

[0038] The power supply capacity of the power plant in the target area is expected to be within the regulation period;

[0039] Obtaining a power generation history curve and an energy storage power history curve of the photovoltaic power generation system in the target area, and predicting an average power generation value and an average energy storage power value of the photovoltaic power generation system in the target area during the regulation cycle according to the power generation history curve and the energy storage power history curve;

[0040] The output power of the power consumption side within the regulation cycle is determined according to the power supply power of the power plant, the average value of the power generation power and the average value of the energy storage power.

[0041] From the above description, it can be seen that the output power of the power consumption side during the regulation period is predicted based on the power supply power of the power plant, the average power generation power and the average energy storage power, which improves the accuracy and reliability of the predicted output power of the power consumption side.

[0042] Further, the determining whether the output power of the power consumption side within the regulation cycle can meet the rated load of the flexible load includes:

[0043] Determine the power matching rate α within the regulation cycle:

[0044]

[0045] Where P T1 represents the power supply power of the power plant in the target area within the regulation cycle, P LT represents the average power generation power of the photovoltaic power generation system in the target area during the regulation period, P CT represents the average energy storage power of the photovoltaic power generation system in the target area during the regulation cycle, and Z represents the rated load of the flexible load in the target area;

[0046] It is determined whether the power matching rate α is greater than 1. If so, the output power of the power consumption side during the regulation cycle can meet the rated load of the flexible load. Otherwise, the output power of the power consumption side during the regulation cycle cannot meet the rated load of the flexible load.

[0047] From the above description, it can be seen that by comparing the output power of the power consumption side during the regulation cycle with the rated load of the flexible load in the target area, it is possible to easily and quickly determine whether the output power of the power consumption side during the regulation cycle can meet the rated load of the flexible load.

[0048] Furthermore, the step before S4 includes the following steps:

[0049] The energy storage type compensation device in the target area is regulated before the regulation cycle to make the energy storage type compensation device enter a charging energy storage state.

[0050] From the above description, it can be seen that before starting the regulation cycle, the energy storage compensation device in the target area is set to a full charging mode, and the charge and discharge mode control of the energy storage compensation device is intervened in advance to avoid the energy storage compensation device from outputting electricity in the early peak shaving and valley filling process, and use other methods to complete the peak shaving and valley filling, thereby ensuring that the stored electricity of the energy storage compensation device can be used to meet the electricity demand of the flexible load.

[0051] Further, the S5 includes:

[0052] The following optimization conditions are set according to the output power of the power consumption side within the regulation cycle, the rated load of the flexible load, the power supply urgency constraint condition and the reactive power supply constraint condition:

[0053]

[0054] α≤α 0

[0055] Where, T 1 represents the control period, α represents the power matching rate within the control period, and α 0 Represents the power matching rate threshold, P T1 represents the power supply power of the power plant in the target area within the regulation cycle, P LT represents the average power generation power of the photovoltaic power generation system in the target area during the regulation period, P CT represents the average energy storage power of the photovoltaic power generation system in the target area during the regulation cycle, ΔW represents the added energy storage of the energy storage compensation device, M represents the number of flexible load groups, P1, ..., PM represents the power corresponding to each group of flexible loads, θ 1 ,θ 2 ...θ M Indicates the power ratio corresponding to each group of flexible loads, W t h represents the urgency coefficient threshold of power consumption scenario k, W kj represents the power urgency coefficient of the jth group of flexible loads under power consumption scenario k, J represents the number of flexible load groups after screening, Q P Indicates the output reactive power of the power plant supplying power to the target area, Q L It represents the output reactive power of the photovoltaic power generation system supplying power to the target area, Q D Indicates the reactive power of general load in the target area, Q C Represents the reactive power of the energy storage compensation device, U 0 Indicates the voltage of the target area connected to the grid node, U h0 It represents the voltage of the branch where the h-th group of flexible loads is located, G h0 , B h0 They represent the conductance and susceptance of the branch where the h-th group of flexible loads is located, cos h0 and sin h0 They respectively represent the cos value and sin value of the power angle of the branch where the h-th group of flexible loads is located;

[0056] The flexible load of the target area is scheduled according to the optimization condition.

[0057] From the above description, it can be seen that in the regulation process, by setting corresponding power ratios for each group of flexible loads, higher weights can be set for flexible loads with higher power urgency, ensuring that the power demand of flexible loads with higher power urgency can be met under the power consumption scenario of the regulation cycle, and intervening in advance in the charge and discharge management and control of the energy storage compensation device in the target area to ensure that the energy storage compensation device can meet the load demand of the flexible equipment, and by setting power urgency constraints and reactive power constraints, the stability of power supply is ensured.

[0058] Please refer to Figure 2 A flexible load control terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step in the above-mentioned flexible load control method is implemented.

[0059] The flexible load control method and terminal of the present application can be applied to the flexible load optimization control for fixed areas (such as residential areas, office areas, etc.), and can realize the dynamic matching of the power supply side and the demand side in the fixed area, so as to realize the dynamic expansion effect through flexible control when there is no physical expansion space in the fixed area. The following is an explanation through specific implementation methods:

[0060] With the integration of new energy power generation systems and traditional power grids, and the influence of weather factors, especially the fluctuation of light conditions, the output power value of photovoltaic power generation devices will fluctuate accordingly. After photovoltaic power generation is connected to the grid, it will cause the problem of photovoltaic power generation absorption, which will further complicate the power system flow calculation and scheduling problems.

[0061] In the source-grid-load-storage system, the source end may include various types of energy forms such as various types of connected new energy power stations, hydropower, geothermal storage power generation, etc. Specifically in the embodiment of the present invention, in order to further simplify and clarify the control scheme, the main renewable energy included is mainly a photovoltaic power generation system, and the grid end is mainly a reactive compensation device on the weak voltage side of the transformer, preferably including a discrete compensation device represented by a supercapacitor and a continuous compensation device represented by an SVG. In this application, supercapacitors are mainly used as an example, and other types of energy storage compensation devices can be similarly set with reference to this application.

[0062] Embodiment 1

[0063] Please refer to Figure 1 , a flexible load control method, comprising the steps of:

[0064] S1. Determine the rated load of the flexible load in the target area;

[0065] Among them, a flexible load monitoring module and a flexible load control module can be set, and the flexible load monitoring module includes a load data collection device and an intelligent monitoring module, and the load data collection device and the intelligent monitoring module are connected to each other; at the same time, the intelligent monitoring module will be connected to household appliances or office appliances in the office area, and determine whether it is necessary to dynamically optimize and control household appliances through the intelligent monitoring module through the transformer load power level of the node connected to the target area and the grid entrance. Based on communication technologies such as 5G / Bluetooth, multiple intelligent monitoring modules in the target area are supported to communicate with the load data collection device, so as to determine the scheduling strategy of the flexible load in the scheduling target area, thereby realizing dynamic capacity expansion;

[0066] The target area manager will input all the equipment in the target area into the load data collection device. All the equipment here refers to flexible equipment such as household equipment or office equipment. The load data collection device will first group various identical equipment into a group and manage the equipment in groups, for example:

[0067] Assume that there are M groups of equipment in the target area, among which the first group of equipment is air-conditioning equipment U1, the second group of equipment is microwave oven equipment U2, the third group of equipment is lighting equipment U3, the fourth group of equipment is heating equipment U4, and so on, a total of M groups of equipment;

[0068] At this point, the total rated power Z of all types of equipment in the target area can be counted as the rated load of the flexible load in the target area:

[0069] Z=P 1 +P 2 +P 3 +……+P M

[0070] Among them, P 1 Refers to the rated power of Group 1 equipment, P 2 Refers to the rated power of the second group of equipment, and so on, P M Refers to the rated power of equipment in Group M;

[0071] S2, predicting the output power of the power consumption side within the regulation cycle, and determining whether the output power of the power consumption side within the regulation cycle can meet the rated load of the flexible load, if not, executing S3, otherwise, there is no need to change the current power consumption control strategy;

[0072] S3, identifying the power usage scenario corresponding to the flexible load within the regulation cycle, and determining the power supply urgency constraint condition of the flexible load according to the power usage scenario;

[0073] The determining of the power supply urgency constraint condition of the flexible load according to the power usage scenario includes:

[0074] Determine a power consumption urgency coefficient corresponding to the flexible load according to the power consumption scenario, and determine a power supply urgency constraint condition of the flexible load according to the power consumption urgency coefficient;

[0075] In a specific implementation, the flexible loads in the target area may be divided into multiple groups based on type in advance;

[0076] Different power consumption scenarios are set according to different control cycles, and a corresponding power consumption urgency coefficient is set for each group of flexible loads in each power consumption scenario to form a power consumption urgency coefficient matrix;

[0077] Then, determining the power urgency coefficient corresponding to the flexible load according to the power usage scenario includes:

[0078] Matching the corresponding power urgency coefficient from the power urgency coefficient matrix according to the power usage scenario;

[0079] In specific implementation, the flexible load monitoring module sets different power usage scenarios for different groups according to the properties of the devices in different groups. For example, the common power usage scenario of air-conditioning equipment U1 is to turn on when the outdoor temperature is above 30 degrees; the common power usage scenario of microwave oven equipment U2 is during the dining time in the morning, noon and evening; the common power usage scenario of lighting equipment U3 is when the indoor light level is insufficient or at night; and the common power usage scenario of heating equipment U4 is when the outdoor temperature is too low or at night;

[0080] At this time, after the flexible load monitoring module obtains the classification of the above-mentioned groups of equipment, it will classify each group of flexible loads according to the above-mentioned power usage scenarios. The classification standard can be classified according to the power urgency coefficient of the flexible load and the seasonal time period, or according to the power urgency coefficient of the flexible load for home / office use and the daily time period; at the same time, the flexible load monitoring module classifies the power urgency coefficient W corresponding to different groups of equipment according to the specific power usage scenarios. 1 , W 2 , ..., W M Quantification; the flexible load control module is used to start, stop, or allow some of the equipment in the group to start.

[0081] According to different power consumption scenarios, the power consumption urgency coefficients of different groups of equipment are different: for example, in summer, the power consumption urgency coefficient of the first group of equipment U1 (i.e., air-conditioning equipment) is higher than that of the fourth group of equipment U4 (i.e., heating equipment), that is, W 1 >W 4 , but if it is the electricity consumption scenario in winter, then W 4 >W 1 ;

[0082] For example, in the rainy season, the light coefficient is not high, so the power urgency coefficient W of the third group of equipment, that is, lighting equipment U3, is 3 Higher than the power urgency factor W of other groups of equipment 1 , W 2 , W 4 , ..., W M ;

[0083] Therefore, for the target area to be regulated period T1, it is necessary to establish different power urgency coefficient matrices W for a total of K possible power consumption scenarios:

[0084]

[0085] The first row in the matrix W is the power urgency coefficient of each group of equipment in the first scenario, and by analogy, the Kth row in the matrix W is the power urgency coefficient of each group of equipment in the kth scenario;

[0086] Preferably, there are at least five electricity usage scenarios: (1) high temperature; (2) cold; (3) cloudy and rainy; (4) household electricity; (5) office electricity;

[0087] S4. Determine reactive power supply constraint conditions of the target area based on reactive power balance of the target area;

[0088] S5. Scheduling the flexible load in the target area according to the output power of the power consumption side within the regulation cycle, the rated load of the flexible load, the power supply urgency constraint and the reactive power supply constraint;

[0089] In an optional embodiment, the rated power Z target area can be compared with the transformer load power P at the grid entrance connection node. t The power difference ΔP between them is taken as the dynamic expansion control target, and the scheduling is performed according to the listed constraints;

[0090] In this embodiment, the flexible load monitoring module and the flexible load control module do not necessarily have to be located on the user side; preferably, the flexible load detection module is usually set at the user end, and one or more of them can be set in the target area, for example, distributed in the target area in a distributed manner, and connected by communication technologies such as 5G / 4G / Ethernet / Zigbee / Bluetooth / infrared / WiFi / power carrier, so as to realize communication between the flexible load monitoring module and the flexible load control module, between the flexible load monitoring module and the flexible load monitoring module, and between the flexible load monitoring module and the target area gateway.

[0091] Preferably, a flexible load control module can be set on the management side of the target area to control the loading and unloading of flexible loads in the target area and whether the energy storage compensation device participates in the power (such as active and reactive) regulation process of the target area, and to perform overall control of other power equipment in the target area, such as regulation when voltage jitter occurs in equipment within the network.

[0092] At the same time, on the management side of the target area, a cloud server is set up to record the regulation and control of all equipment in the target area throughout the process as historical data required for the next management cycle of the target area, and store it in the cloud server; when the target area enters the next regulation cycle, the flexible load monitoring module and the flexible load control module can request to communicate with the cloud server to retrieve the past historical data of the target area for regulation.

[0093] Preferably, the flexible load monitoring module and the flexible load control module can retrieve the historical data of the target area for at least one past regulation cycle from the cloud server; more preferably, the flexible load monitoring module and the flexible load control module can retrieve the historical data of the target area for at least three past regulation cycles from the cloud server, and then complete the historical data integration by interpolation fitting.

[0094] Embodiment 2

[0095] This embodiment further defines how to predict the output power of the power consumption side within the regulation cycle, specifically:

[0096] The power supply capacity of the power plant in the target area is expected to be within the regulation period;

[0097] Obtaining a power generation history curve and an energy storage power history curve of the photovoltaic power generation system in the target area, and predicting an average power generation value and an average energy storage power value of the photovoltaic power generation system in the target area during the regulation cycle according to the power generation history curve and the energy storage power history curve;

[0098] Determine the output power of the power consumption side within the regulation cycle according to the power supply power of the power plant, the average power generation power and the average power storage power;

[0099] The step of judging whether the output power of the power consumption side can meet the rated load of the flexible load within the regulation cycle includes:

[0100] Determine the power matching rate α within the regulation cycle:

[0101]

[0102] Where P T1 represents the power supply power of the power plant in the target area within the regulation cycle, P LTrepresents the average power generation power of the photovoltaic power generation system in the target area during the regulation period, P CT represents the average energy storage power of the photovoltaic power generation system in the target area during the regulation cycle, and Z represents the rated load of the flexible load in the target area;

[0103] Determine whether the power matching rate α is greater than 1. If so, the output power of the power consumption side during the regulation cycle can meet the rated load of the flexible load. Otherwise, the output power of the power consumption side during the regulation cycle cannot meet the rated load of the flexible load.

[0104] In specific implementation, the power generation history curve PL of the photovoltaic power generation system in the target area is counted, and the statistical time period can be several years in the past, preferably, at least one year in the past; the energy storage power history curve PC of the energy storage compensation device of the substation in the target area is counted, and the statistical time period can be several years in the past, preferably, at least one year in the past;

[0105] Determine the future time period T1 (i.e., the control cycle) of the dynamic expansion control scenario for the target area. The time from the current moment to the future time period T1 is T2. The future time period T1 corresponds to the average power value P corresponding to the power generation power history curve PL and the energy storage power history curve PC. LT and P CT ;

[0106] Among them, when α is greater than 1, it means that theoretically the power supply in the current target area can meet the needs of the flexible power-consuming equipment in the target area. Of course, in order to leave a margin α for the fluctuation of the flexible power-consuming equipment 0 , the judgment standard can be set as when α is greater than α 0 When, preferably, α 0 1.2-1.5 may be selected, in which case it can be considered that the power supply in the current target area can meet the needs of the flexible power-consuming devices in the target area;

[0107] When α is less than α 0 When , it indicates that the flexible equipment in the target area may be underpowered in the future time period T1. In this case, it is necessary to optimize the power supply equipment to achieve dynamic optimization of the target area;

[0108] In another optional embodiment, the weather conditions F of the target area in the future time period T1 can also be calculated according to the weather forecast. w , according to the weather conditions F w Calculate the theoretical output power fluctuation value of the photovoltaic power generation system ΔF=f(F w, T2), where f is the power model of the photovoltaic power generation system, and various models in the prior art can be used. The conventional model of the photovoltaic power generation system will not be described here. At this time, the power matching rate α in the regulation cycle is:

[0109]

[0110] Embodiment 3

[0111] This embodiment further defines how to schedule the flexible load of the target area, specifically:

[0112] The step S4 includes the following steps:

[0113] Before the regulation cycle, regulating the energy storage type compensation device in the target area so that the energy storage type compensation device enters a charging energy storage state;

[0114] Then the S5 includes:

[0115] The following optimization conditions are set according to the output power of the power consumption side within the regulation cycle, the rated load of the flexible load, the power supply urgency constraint condition and the reactive power supply constraint condition:

[0116]

[0117] α≤α 0

[0118] Where, T 1 represents the control period, α represents the power matching rate within the control period, and α 0 Represents the power matching rate threshold, P T1 represents the power supply power of the power plant in the target area within the regulation cycle, P LT represents the average power generation power of the photovoltaic power generation system in the target area during the regulation period, P CT represents the average energy storage power of the photovoltaic power generation system in the target area during the regulation cycle, ΔW represents the added energy storage of the energy storage compensation device, M represents the number of flexible load groups, P1, ..., PM represents the power corresponding to each group of flexible loads, θ 1 ,θ 2 ...θ M Indicates the power ratio corresponding to each group of flexible loads, W t h represents the urgency coefficient threshold of power consumption scenario k, W kj represents the power urgency coefficient of the jth group of flexible loads under power consumption scenario k, J represents the number of flexible load groups after screening, ΔQ is used to limit the reactive power balance of the target area to ensure the stability of the reactive power flow in the target area, Q P Indicates the output reactive power of the power plant supplying power to the target area, QL It represents the output reactive power of the photovoltaic power generation system supplying power to the target area, Q D Indicates the reactive power of general load in the target area, Q C Represents the reactive power of the energy storage compensation device, U 0 Indicates the voltage of the target area connected to the grid node, U h0 It represents the voltage of the branch where the h-th group of flexible loads is located, G h0 , B h0 They represent the conductance and susceptance of the branch where the h-th group of flexible loads is located, cos h0 and sin h0 They respectively represent the cos value and sin value of the power angle of the branch where the h-th group of flexible loads is located;

[0119] The calculation method of the additional electric energy ΔW that can be added when the energy storage compensation device in the target area is fully charged is as follows:

[0120]

[0121] In the formula, R is the equivalent reactance value of the energy storage type compensation device, C is the equivalent capacitance value of the energy storage type compensation device, δ is the discharge efficiency of the energy storage type compensation device, is the time delay characteristic of the energy storage type compensation device, U(t) is the energy storage voltage of the energy storage type compensation device at time t, and U(t-Δt) is the energy storage voltage of the energy storage type compensation device at time t-Δt;

[0122] Scheduling the flexible load of the target area according to the optimization condition;

[0123] In this embodiment, the power urgency coefficient for the power application scenario is accurately selected according to the weather forecast data, and the power load is optimized according to the balance limit of the reactive power flow and the corresponding power urgency limit, especially the energy storage compensation device is used to enter the full charging state in advance to store the excess power in the target area, and try not to participate in peak shaving or power balancing before the arrival of the future time period T1, so as to ensure that the energy storage compensation device can make full use of the stored electric energy within the time period T1 to stabilize the power regulation of the flexible load in the target area, at least to ensure that the power demand of the flexible load with a higher degree of power urgency in the target area is met.

[0124] Embodiment 4

[0125] Please refer to Figure 2 A flexible load control terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of a flexible load control method described in any one of Embodiments 1 to 3 is implemented.

[0126] In summary, the flexible load control method and terminal provided by the present invention are aimed at the practice of not distinguishing power usage scenarios in the prior art, but generally analyzing different flexible devices based on fixed power usage scenarios. This application is aimed at different power usage scenarios that the target area may face, distinguishes the power urgency coefficients of different groups of flexible devices based on different power usage scenarios, establishes a power urgency coefficient matrix, and in the subsequent control process, obtains the weather forecast of the control period in advance, identifies the power usage scenarios within the control period, matches the corresponding power urgency coefficients from the power urgency coefficient matrix to realize power control, so that the flexible load power usage scenarios in different seasons / time periods / weathers can be accurately matched, and the supply and demand balance relationship between the power supply side and the power consumption side can be more accurately matched, so as to achieve stable power supply;

[0127] At the same time, before regulating the flexible load in the target area, it is first predicted whether the full-load power consumption of the flexible load within the regulation cycle can be met. If the output power of the power consumption side can meet the full-load operation of all flexible loads within the regulation cycle, there is no need to change the current power control strategy;

[0128] If, during the regulation cycle, the output power on the power consumption side cannot fully meet the full load operation of all flexible loads during the regulation cycle, it is necessary to set a higher weight for the flexible loads with higher power urgency based on the flexible load power consumption scenarios identified above, to ensure that the power demand of the flexible power loads with higher power urgency can be met under the power consumption scenarios of the regulation cycle. At the same time, before starting the regulation cycle, the compensating energy storage devices in the target area are set to full charging mode, and the storage charge delay coefficient and discharge efficiency of the compensating energy storage devices are considered in the calculation, so as to intervene in the charging and discharging mode control of the compensating energy storage devices in advance, to avoid the compensating energy storage devices from outputting power in the early peak shaving and valley filling process, and to use other methods to complete peak shaving and valley filling, so as to ensure that the stored power of the compensating energy storage devices can be used to meet the power demand of the flexible loads, and to ensure the stability of power supply by setting power urgency constraints and reactive power constraints.

[0129] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A flexible load control method, It is characterized in that Includes steps: S1. Determine the rated load of the flexible load in the target area; S2, determining whether the output power of the power consumption side within the regulation cycle can meet the rated load of the flexible load, if not, executing S3; S3, identifying the power usage scenario corresponding to the flexible load within the regulation cycle, and determining the power supply urgency constraint condition of the flexible load according to the power usage scenario; S4. Determine reactive power supply constraint conditions of the target area based on reactive power balance of the target area; S5. Scheduling the flexible load in the target area according to the output power of the power consumption side within the regulation cycle, the rated load of the flexible load, the power supply urgency constraint and the reactive power supply constraint; The power supply urgency constraint condition of the flexible load determined according to the power usage scenario includes: Determine a power consumption urgency coefficient corresponding to the flexible load according to the power consumption scenario, and determine a power supply urgency constraint condition of the flexible load according to the power consumption urgency coefficient; Also includes the steps: dividing the flexible loads of the target area into a plurality of groups based on type; Different power consumption scenarios are set according to different control cycles, and a corresponding power consumption urgency coefficient is set for each group of flexible loads in each power consumption scenario to form a power consumption urgency coefficient matrix; The determining of the power consumption urgency coefficient corresponding to the flexible load according to the power consumption scenario includes: Matching the corresponding power urgency coefficient from the power urgency coefficient matrix according to the power usage scenario; The step S2 also includes the following steps: Predict the output power of the power consumption side during the regulation cycle; The prediction of the output power of the power consumption side within the regulation cycle includes: The power supply capacity of the power plant in the target area is expected to be within the regulation period; Obtaining a power generation history curve and an energy storage power history curve of the photovoltaic power generation system in the target area, and predicting an average power generation value and an average energy storage power value of the photovoltaic power generation system in the target area during the regulation cycle according to the power generation history curve and the energy storage power history curve; Determine the output power of the power consumption side within the regulation cycle according to the power supply power of the power plant, the average power generation power and the average power storage power; The step of judging whether the output power of the power consumption side can meet the rated load of the flexible load within the regulation cycle includes: Determine the power matching rate α within the regulation cycle: Where P T1 represents the power supply power of the power plant in the target area within the regulation cycle, P LT represents the average power generation power of the photovoltaic power generation system in the target area during the regulation period, P CT represents the average energy storage power of the photovoltaic power generation system in the target area during the regulation cycle, and Z represents the rated load of the flexible load in the target area; It is determined whether the power matching rate α is greater than 1. If so, the output power of the power consumption side during the regulation cycle can meet the rated load of the flexible load. Otherwise, the output power of the power consumption side during the regulation cycle cannot meet the rated load of the flexible load.

2. A flexible load control method according to claim 1, It is characterized in that The step S4 includes the following steps: The energy storage type compensation device in the target area is regulated before the regulation cycle to make the energy storage type compensation device enter a charging energy storage state.

3. A flexible load control method according to claim 2, It is characterized in that The S5 includes: The following optimization conditions are set according to the output power of the power consumption side within the regulation cycle, the rated load of the flexible load, the power supply urgency constraint condition and the reactive power supply constraint condition: α≤α 0 Where, T 1 represents the control period, α represents the power matching rate within the control period, and α 0 Represents the power matching rate threshold, P T1 represents the power supply power of the power plant in the target area within the regulation cycle, P LT represents the average power generation power of the photovoltaic power generation system in the target area during the regulation period, P CT represents the average energy storage power of the photovoltaic power generation system in the target area during the regulation cycle, ΔW represents the added energy storage of the energy storage compensation device, M represents the number of flexible load groups, P1, ..., PM represents the power corresponding to each group of flexible loads, θ 1 ,θ 2 ...θ M Indicates the power ratio corresponding to each group of flexible loads, W th represents the urgency coefficient threshold of power consumption scenario k, W kj represents the power urgency coefficient of the jth group of flexible loads under power consumption scenario k, J represents the number of flexible load groups after screening, Q P Indicates the output reactive power of the power plant supplying power to the target area, Q L It represents the output reactive power of the photovoltaic power generation system supplying power to the target area, Q D Indicates the reactive power of general load in the target area, Q C Indicates the reactive power of the energy storage compensation device, U 0 Indicates the voltage of the target area connected to the grid node, U h0 It represents the voltage of the branch where the h-th group of flexible loads is located, G h0 represents the conductance of the branch where the h-th group of flexible loads is located, B h0 Indicates the susceptance of the branch where the h-th group of flexible loads is located, cos h0 Indicates the power angle cos value of the branch where the h-th group of flexible loads is located, sin h0 Indicates the power angle sin value of the branch where the h-th group of flexible loads is located; The flexible load of the target area is scheduled according to the optimization condition.

4. A flexible load control terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, It is characterized in that When the processor executes the computer program, each step of the flexible load control method according to any one of claims 1 to 3 is implemented.

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