A method and system for constructing constraint conditions for demand-side resources to participate in energy interconnection

Abstract

The present invention provides a method and system for constructing constraint conditions for demand-side resources to participate in energy interconnection, the method comprising: establishing constraint conditions for demand-side resources to participate in energy interconnection for different types of demand-side resources; constructing multiple different business scenarios, and determining demand-side resources to participate in energy interconnection based on each business scenario, generating interconnection constraint matrix coefficients and demand-side resource state probability matrix; establishing a constraint set for demand-side resources to participate in energy interconnection under the business scenario based on the constraint conditions for demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix; the business scenarios include peak shaving and valley filling scenarios, renewable energy consumption scenarios and ancillary service scenarios. The present invention is conducive to the formulation of typical demand-side resource participation energy interconnection strategies, and promotes energy system planning, design and operation optimization.

Description

Technical Field

[0001] The present invention relates to the field of energy interconnection, and in particular to a method and system for constructing constraint conditions for demand-side resources to participate in energy interconnection. Background Art

[0002] With the in-depth construction of the energy Internet, with electricity as the core, various forms of energy such as chemical energy and thermal energy have increasingly participated in the supply and use relationship. The controllable resources on the demand side, such as distributed power sources, electric vehicles, distributed energy storage, air conditioners and electric boilers, are growing rapidly, and their demand response characteristics are complex and diverse. When dispatching demand-side resources, the power grid should comprehensively consider the constraints of various resources. At the same time, the demand-side resources themselves are also constrained by many external factors, such as natural factors, political factors, economic factors, human factors, etc. When not considering the interconnection between energy sources, it is necessary to consider the impact of the constraints of the demand-side resources themselves.

[0003] In the context of energy interconnection, due to the volatility, intermittency and anti-peak characteristics of renewable energy, the real-time dispatching scenarios of the power grid are complex and diverse. Therefore, it is necessary to comprehensively consider the impact of energy interconnection policies, market environment, technical constraints of energy interconnection, and economic constraints on demand-side resources. However, the current analysis of the constraints on demand-side resources participating in energy interconnection is relatively simple, and the considerations are not comprehensive enough when constructing the constraints, resulting in errors in the results. Summary of the invention

[0004] In order to solve the above-mentioned deficiencies in the prior art, the present invention provides a method for constructing constraint conditions for demand-side resources to participate in energy interconnection, comprising:

[0005] For different types of demand-side resources, establish constraints on demand-side resources’ participation in energy interconnection;

[0006] Construct multiple different business scenarios, and determine the demand-side resources participating in energy interconnection based on each business scenario, generate interconnection constraint matrix coefficients and demand-side resource state probability matrix;

[0007] Based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix, a constraint set for the demand-side resources to participate in energy interconnection under the business scenario is established;

[0008] Among them, the business scenarios include: peak shaving and valley filling scenarios, renewable energy consumption scenarios and auxiliary service scenarios.

[0009] Preferably, for different types of demand-side resources, establishing constraint conditions for demand-side resources to participate in energy interconnection includes:

[0010] Establish demand-side resource constraints for each type of demand-side resource;

[0011] Establish demand-side resource interconnection constraints between different types of demand response resources;

[0012] Among them, the constraints on the demand-side resources participating in energy interconnection include the demand-side resource constraints themselves and the demand-side resource interconnection constraints.

[0013] Preferably, the types of demand-side resources include: energy supply resources, energy use resources and energy supply and use resources;

[0014] The energy supply resources include distributed wind turbines, distributed photovoltaic generators and gas turbines;

[0015] The energy resources include uncontrollable loads, transferable loads and interruptible loads;

[0016] The energy supply and use resources include electric vehicles and batteries.

[0017] Preferably, establishing demand-side resource constraints for each type of demand-side resource includes:

[0018] Construct power generation output constraints, minimum on / off constraints, and ramp constraints for energy resources;

[0019] Constructing the maximum continuous controlled time constraint, the minimum controlled interval time constraint, the total controlled time constraint within the dispatch period and the load reduction constraint for the energy resources;

[0020] To provide both energy supply and energy consumption resources, battery performance constraints, energy storage output constraints and capacity constraints are established.

[0021] Preferably, the demand-side resource interconnection constraint conditions include:

[0022] Load demand peak-valley difference constraints, equivalent load rate constraints, renewable energy power generation proportion constraints, carbon emission constraints, power supply reliability constraints, user satisfaction constraints, comprehensive energy utilization and operating cost constraints.

[0023] Preferably, the constraint set for the demand-side resources to participate in energy interconnection under the business scenario is established based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix, including:

[0024] Based on the demand-side resources participating in energy interconnection and the constraints of each demand-side resource, the set of constraints of all demand-side resources participating in energy interconnection is obtained;

[0025] Based on the set of self-constraints of each demand-side resource and the demand-side resource state probability matrix, a self-constraint set of the demand-side resource participating in energy interconnection is generated;

[0026] Based on the demand-side resources participating in energy interconnection and the interconnection constraints of the demand-side resources, a set of interconnection constraints of the demand-side resources is generated;

[0027] Based on the interconnection constraint set and interconnection constraint matrix coefficients of the demand-side resources, generate an interconnection constraint set for the demand-side resources to participate in energy interconnection;

[0028] Based on the self-constraint set and the interconnection constraint set, a constraint set for demand-side resources to participate in energy interconnection under the business scenario is constructed.

[0029] Preferably, the demand-side resource state probability matrix is ​​as shown below:

[0030]

[0031] Where S represents the demand-side resource state probability matrix, s it It represents the probability of the i-th type of demand-side resource using / supplying electricity in time period t; n represents the type of demand-side resource; T is the number of time periods in the statistical period.

[0032] Based on the same inventive concept, the present invention also provides a system for constructing constraint conditions for demand-side resources to participate in energy interconnection, including:

[0033] Construct a constraint module to establish constraint conditions for different types of demand-side resources to participate in energy interconnection;

[0034] The relationship module is used to construct multiple different business scenarios, and determine the demand-side resources participating in energy interconnection based on each business scenario, and generate the interconnection constraint matrix coefficients and the demand-side resource state probability matrix;

[0035] A result module, used to establish a constraint set for the demand-side resources to participate in energy interconnection under the business scenario based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix;

[0036] Among them, the business scenarios include: peak shaving and valley filling scenarios, renewable energy consumption scenarios and auxiliary service scenarios.

[0037] Preferably, the construction constraint module includes:

[0038] Construct a self-constraint unit to establish self-constraint conditions of demand-side resources for each type of demand-side resource;

[0039] Constructing an interconnection constraint unit for establishing demand-side resource interconnection constraints between different types of demand response resources;

[0040] Among them, the constraints on the demand-side resources participating in energy interconnection include the demand-side resource constraints themselves and the demand-side resource interconnection constraints.

[0041] Preferably, the result module includes:

[0042] A self-constraint set generation unit, used for obtaining a set of self-constraints of all demand-side resources participating in the energy interconnection based on the demand-side resources participating in the energy interconnection and the self-constraint conditions of each demand-side resource;

[0043] A first analysis unit is used to generate a self-constraint set of demand-side resources participating in energy interconnection based on the set of self-constraints of each demand-side resource and the demand-side resource state probability matrix;

[0044] An interconnection constraint set generating unit, used for generating an interconnection constraint set of demand-side resources based on demand-side resources participating in energy interconnection and interconnection constraint conditions of demand-side resources;

[0045] A second analysis unit is used to generate an interconnection constraint set for the demand-side resources to participate in energy interconnection based on the interconnection constraint set and interconnection constraint matrix coefficients of the demand-side resources;

[0046] The result unit is used to construct a constraint set for demand-side resources to participate in energy interconnection under the business scenario based on the own constraint set and the interconnection constraint set.

[0047] The technical solution provided by the present invention has the following beneficial effects:

[0048] The technical solution provided by the present invention establishes constraint conditions for demand-side resources to participate in energy interconnection for different types of demand-side resources; constructs multiple different business scenarios, and determines the demand-side resources participating in energy interconnection based on each business scenario, generates interconnection constraint matrix coefficients and demand-side resource state probability matrix; establishes a constraint set for demand-side resources to participate in energy interconnection under the business scenario based on the constraint conditions for demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix; the present invention analyzes the constraint factors for demand-side resources to participate in energy interconnection under peak shaving and valley filling scenarios, renewable energy consumption scenarios and auxiliary service scenarios, which is conducive to the formulation of typical demand-side resource participation in energy interconnection strategies, improves energy utilization efficiency, and promotes the construction of energy Internet. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A flow chart of a method for constructing constraint conditions for demand-side resources to participate in energy interconnection in the present invention;

[0050] Figure 2 The present invention provides a detailed flow chart of a method for constructing constraint conditions for demand-side resources to participate in energy interconnection. DETAILED DESCRIPTION

[0051] In order to better understand the present invention, the content of the present invention is further described below in conjunction with the accompanying drawings and examples.

[0052] Embodiment 1: The present invention provides a method for constructing constraint conditions for demand-side resources to participate in energy interconnection. The inventive concept is: classify different types of demand-side resources; analyze the characteristics of different types of resources to establish a constraint model for demand-side resources to participate in energy interconnection; construct a typical business scenario for energy interconnection; determine the demand-side resources participating in energy interconnection under the current business scenario, generate interconnection constraint matrix coefficients, and establish a demand-side resource state probability matrix under the current scenario based on historical power grid dispatching area equipment power consumption / power supply data; establish a constraint set for demand-side resources to participate in energy interconnection under the current business scenario.

[0053] Based on the above invention concept, Figure 1 As shown, the present invention includes:

[0054] Step 1: For different types of demand-side resources, establish constraints on demand-side resources participating in energy interconnection;

[0055] Step 2: Construct multiple different business scenarios, and determine the demand-side resources participating in energy interconnection based on each business scenario, and generate interconnection constraint matrix coefficients and demand-side resource state probability matrix;

[0056] Step 3: Based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix, a constraint set for the demand-side resources to participate in energy interconnection under the business scenario is established;

[0057] Among them, the business scenarios include: peak shaving and valley filling scenarios, renewable energy consumption scenarios and auxiliary service scenarios.

[0058] The technical solution provided by the present invention studies the impact of external environmental factors on the participation of demand resources in energy interconnection, establishes a self-constraint model of demand-side resources, and studies the technical and economic requirements for the participation of demand-side resources in energy interconnection under different scenarios such as peak shaving and valley filling and renewable energy consumption, and establishes an interconnection constraint model for demand-side resources, which is conducive to the formulation of typical demand-side resource participation in energy interconnection strategies, promotes the participation of demand-side resources in energy interconnection, and promotes the construction of the Energy Internet.

[0059] like Figure 2 As shown, Figure 1A method for constructing constraint conditions for demand-side resources to participate in energy interconnection is shown in detail and includes the following steps:

[0060] S1 classifies different types of demand-side resources;

[0061] S2 analyzes the characteristics of different types of resources and establishes a constraint model for demand-side resources to participate in energy interconnection;

[0062] S3 builds typical business scenarios for energy interconnection;

[0063] S4 determines the demand-side resources participating in energy interconnection in the current business scenario, generates the interconnection constraint matrix coefficients, and establishes the demand-side resource state probability matrix S in the current scenario based on the historical power grid dispatching area equipment power consumption / power supply data;

[0064] S5 establishes a set of constraints for demand-side resources to participate in energy interconnection under the current business scenario.

[0065] In this embodiment, Figure 2 Each step shown is further explained:

[0066] S1 classifies different types of demand-side resources, including the following steps:

[0067] S101: Categorize different types of demand-side resources:

[0068] The demand side will not only include traditional load resources, but also a variety of resources such as controllable loads, distributed power sources, energy storage and electric vehicles. By analyzing the supply and consumption characteristics of demand-side resources, demand-side resources can be divided into supply resources, consumption resources and both supply and consumption resources.

[0069] (1) Energy supply resources mainly refer to distributed wind power, photovoltaic power, small gas-fired units and other resources on the demand side, which can increase the amount of electricity supplied to the load and the power grid. Their characteristics are described as follows:

[0070]

[0071] Among them, V p The power generation characteristics of the energy supply resources; are the maximum and minimum outputs of the energy supply resources, respectively; The power supply start time and end time respectively.

[0072] (2) Energy resources refer to load resources that can be dispatched, mainly including uncontrollable loads, transferable loads, and interruptible loads. Uncontrollable loads refer to loads without energy storage characteristics, with relatively fixed power consumption time or loads that may be used at any time, such as lighting equipment, televisions, computers, etc. The power consumption fluctuation range is small and there is basically no ability to transfer loads.

[0073] Transferable loads use electricity flexibly, and the total power consumption required to complete the work is constant, such as washing machines, timed rice cookers, etc., with load transfer capabilities. Its characteristics are described as follows:

[0074]

[0075] Among them, V TL The power consumption characteristics of the transferable load are: The minimum power consumption of the device to complete the task, P TL min , P TL max is the minimum and maximum load that can be transferred by resources, t TL start , t TL end The start and end time of the transfer.

[0076] Interruptible loads such as air conditioners and water heaters can be interrupted at any time. The power consumption is reduced by the load power outage, but the power outage duration is generally limited by the user's comfort. Its characteristics are described as follows:

[0077]

[0078] Among them, V IL The power consumption characteristics of the interruptible load; is the minimum comfort requirement that the equipment needs to meet, P IL min , P IL max is the maximum and minimum load that can be interrupted by the resource, t IL start , t IL end The start and end time of the interruption.

[0079] (3) Demand-side equipment with both energy supply and energy consumption and resource value and energy storage characteristics, such as electric vehicles and batteries, plays the dual role of load and power source. Its characteristics are described as follows:

[0080]

[0081] Among them, V ev To provide energy and have the characteristics of resource value and electricity supply and use, is the internal battery capacity constraint of the energy storage resource, P ev min , P ev max is the maximum and minimum value of resource charging and discharging power, t ev Charge and discharge time t ev The set of physical device / unit operating constraints that satisfy this resource class.

[0082] S2 analyzes the characteristics of different types of resources and establishes a constraint model for demand-side resources to participate in energy interconnection, including the following steps:

[0083] S201: Establish a demand-side resource self-constraint model:

[0084] (1) Energy supply resources

[0085] 1) Unit power output constraints

[0086] The power output of various types of generator sets cannot exceed their rated capacity, nor be lower than the lower limit.

[0087]

[0088] For conventional generator sets, it is the maximum and minimum output of the generator set. For photovoltaics, it indicates the maximum output power of photovoltaic cells under certain lighting conditions. For wind power generation, it is the rated output power of the wind turbine at a certain wind speed, and the output power of the wind turbine at the minimum starting wind speed.

[0089] 2) Minimum power on / off constraints

[0090] A unit that has been turned on can only be turned off after the minimum on time is met, and a unit that has been turned off can only be turned on after the minimum off time is met.

[0091]

[0092] in, They represent the continuous start-up and shutdown time of energy unit i at time t; T i on , T i off Respectively represent the minimum startup and shutdown time of energy unit i; u i,t-1 、u i,t They are the startup status of the unit at time t and time t-1, startup is 1 and shutdown is 0; Z is the set of units; T is the total number of scheduling operation cycles.

[0093] 3) Climbing constraints

[0094]

[0095]

[0096]

[0097] Among them, x i,tRepresents the output of unit i at time t. The ramp constraint constrains the range of change of the output of each unit in adjacent time. The specific expression is as follows: when the unit is shut down at time t-1 and turned on at time t, its production at time t cannot be greater than the startup ramp limit, i.e., UR i ; When the unit is started at t-1 and is also started at time t, the increase in its production cannot exceed the rising slope, i.e. The reduction in production volume cannot exceed the downward slope. The unit is started at time t-1 and shut down at time t. Its output cannot exceed the shutdown ramp limit DR. i .

[0098] (2) Energy resources

[0099] 1) Maximum continuous controlled time constraint

[0100] The maximum continuous controlled time constraint prevents the user equipment from being occupied for a long time.

[0101]

[0102] In the formula, is the maximum continuous controlled time of demand-side resource j; is the demand-side resource j at the initial test time; is the accumulated controlled time; T is the scheduling period.

[0103] 2) Minimum controlled interval time constraint

[0104] The minimum controlled interval time is the minimum uncontrolled time between two consecutive controlled times, which prevents the user equipment from frequently changing the grid connection status.

[0105]

[0106] In the formula, is the minimum controlled interval time of demand-side resources; L j is the time interval between the initial time and the last time the demand-side resource was controlled; v j (0) is the cumulative time interval between the initial time and the last time the demand-side resources were controlled.

[0107] 3) Total controlled time constraints within the scheduling cycle

[0108]

[0109] In the formula, SumT j It is the maximum total controlled time of demand-side resources in the scheduling period.

[0110] 4) Load reduction constraints

[0111]

[0112] represents the minimum load reduction that user i can provide, represents the maximum load reduction that user i can provide.

[0113] (3) Resources that provide both energy and energy use

[0114] The main function of both energy supply and energy consumption resources is to control the charging and discharging of internal batteries. Therefore, the physical equipment constraints mainly consider the battery performance constraints. The energy storage output and capacity constraints are:

[0115]

[0116] SOC min ≤SOC t ≤SOC max

[0117] r i t i,t ≤(SOC t-1 -SOC min )S max

[0118] r i t i,t ≤(1-SOC t-1 )S max

[0119] Among them, r i is the operating power of device i, is the minimum and maximum power threshold of the energy storage device, SOC t is the state of charge at time period t-1, SOC min , SOC max is the minimum and maximum value of the state of charge, t i，t is the charging and discharging time of the energy storage device in time period t, S max is the maximum capacity of the energy storage device.

[0120] S202 establishes a demand-side resource interconnection constraint model:

[0121] (1) Technical constraints

[0122] 1) Load demand peak-valley difference constraints:

[0123]

[0124] In the formula, F flu is the combined fluctuation variance of load and renewable energy, P L is the user load, P RES is the load peak-to-valley difference.

[0125] 2) Equivalent load rate constraint:

[0126]

[0127] In the formula, F pvd is the equivalent load factor, and are the average load and maximum load of the system during the study period, respectively.

[0128] 3) Constraints on the proportion of renewable energy power generation:

[0129] η RES =P RES / P total ×100%

[0130] Where P RES is the electricity generated by renewable energy, P total It is the power generation of all distributed generation sources in the regional power grid where the demand-side resources are located.

[0131] 4) Carbon emission constraints

[0132]

[0133] In the formula, represents the total carbon emissions of energy, w i represents the emission coefficient of the i-th energy source, P i Represents the power generation output of the i-th energy source.

[0134] 5) Power supply reliability constraints

[0135] System average power outage times SAIFI:

[0136]

[0137] Where N i Indicates the number of users who experienced power outages during each power outage event during the reporting period; N T Refers to the number of power supply users in the power supply area.

[0138] System average power outage time SAIDI:

[0139]

[0140] In the formula, r i Refers to the time it takes to restore power after each power outage.

[0141] 6) User satisfaction constraints

[0142] S F =S FL +S FC

[0143] In the formula, S F For user satisfaction; S FL =L D (k) / L(k) is the power supply satisfaction, L D (k) is the key load, L(k) is all loads at the current moment; S FC =P u / P s is the electricity satisfaction, P s is the total power consumed in the microgrid system, P u The sum of the power provided by the microgrid’s own renewable energy and energy storage.

[0144] (2) Economic constraints

[0145] 1) Comprehensive energy utilization rate

[0146] Comprehensive energy utilization efficiency is a comprehensive indicator to measure the technical level and economic efficiency of energy utilization.

[0147]

[0148] In the formula, k i is the proportion of the i-th type of resources to the total amount of all resources, E 0i For the efficient use of energy for the i-th resource, E i Comprehensive energy supply for the i-th type of resources (comprehensive energy consumption).

[0149] 2) Operating costs

[0150] The system operating costs include daily operation and maintenance costs, energy consumption costs, and pollutant emission costs.

[0151]

[0152] Where N is the number of power supply resource types on the demand side; C f,i (·) is the energy consumption cost of the i-th power supply resource; K OM,i is the operation and maintenance coefficient of the i-th power supply resource; P i is the active output of the ith power supply resource; C g (·) is the cost function of purchasing electricity from the system; P g is the active power purchased from the system; C ENC The cost of controlling system pollutant emissions.

[0153]

[0154] Where M is the total number of pollutant types; N is the total number of power generation resource types; β j The cost coefficient for treating pollutant j; αij is the pollutant control emission coefficient of different electricity production methods; P i is the power generation capacity of the i-th resource.

[0155] S3 builds a typical business scenario for energy interconnection, including the following steps:

[0156] S301: Typical business scenarios for building energy interconnection:

[0157] (1) Peak shaving and valley filling: Peak shaving and valley filling means reducing power consumption during peak load periods and increasing power consumption during low load periods.

[0158] (2) Renewable energy consumption: With the increase in the number of renewable energy sources connected to the grid, in order to maintain the power balance between the supply and demand sides of the system and the stable operation of the system, the demand side is required to have sufficient variable load capacity and sufficient response speed.

[0159] (3) Ancillary services: Ancillary services refer to the additional services provided by power generators in addition to normal power production in order to ensure power system security, promote power trading and ensure power supply. In view of the actual needs of safe operation of the power system, ancillary services are divided into: standby, frequency regulation, peak regulation, reactive power and black start.

[0160] S4 determines the demand-side resources participating in energy interconnection in the current business scenario, generates the interconnection constraint matrix coefficients, and establishes the demand-side resource state probability matrix S in the current scenario based on the historical power grid dispatching area equipment power consumption / power supply data, including the following steps:

[0161] S401: Determine the demand-side resources participating in energy interconnection in the current business scenario;

[0162] S402: Generate interconnection constraint matrix coefficients W n，t ;

[0163] W n,t =[W 1t W 2t … W nt ]

[0164] Where n is the number of resources, W it W represents the degree to which the demand-side resource i is constrained by the interconnection constraint at time t. it =0 means that the demand-side resource i is not affected by the constraint conditions.

[0165] S403: Establishing a demand-side resource state probability matrix S in the current scenario based on historical power grid dispatching area equipment power consumption / power supply data;

[0166]

[0167] Among them, s it represents the probability of the i-th type of demand-side resource using / supplying electricity in period t, s it The larger the value, the greater the demand response potential of this type of resource in this period; n represents the type of demand-side resources; T is the number of time periods in the statistical period.

[0168] S5 establishes a constraint set for demand-side resources to participate in energy interconnection under the current business scenario, including the following steps:

[0169] S501: Establish the self-constraint set of demand-side resources participating in energy interconnection under the current business scenario

[0170] (1) Establish a set C of self-constraints of various resources according to S201 N :

[0171]

[0172] Among them, C Ni It represents the self-constraint set corresponding to the i-th type of resource, and n is the number of resources.

[0173] (2) Combining S201 and S403, a set C of demand-side resource constraints in the current scenario is established.

[0174]

[0175] Among them, C nt Represents the set of constraints for resource n in time period t, where T is the number of time periods in the statistical period.

[0176] S502: Establishing the interconnection constraint set for demand-side resources to participate in energy interconnection under the current business scenario

[0177] (1) Establish interconnection constraint set D according to S202 N :

[0178] D N ={D1,D2,...,D m}

[0179] Among them, D m is the mth interconnection constraint.

[0180] (2) Combine S202 and S402 to establish the demand-side resource constraint set D in the current scenario

[0181]

[0182] Among them, D mn is the mth interconnection constraint of device n in time period t.

[0183] In different scenarios such as peak shaving and valley filling and renewable energy consumption, the present invention establishes the self-constraint set and interconnection constraint set of demand-side resources based on external environmental factors, which is conducive to the participation of typical demand-side resources in the formulation of energy interconnection strategies, promotes energy system planning, design and operation optimization, improves energy utilization efficiency, and promotes the construction of energy Internet.

[0184] Embodiment 2: Based on the same inventive concept, the present invention also provides a system for constructing constraint conditions for demand-side resources to participate in energy interconnection, including:

[0185] Construct a constraint module to establish constraint conditions for different types of demand-side resources to participate in energy interconnection;

[0186] The relationship module is used to construct multiple different business scenarios, and determine the demand-side resources participating in energy interconnection based on each business scenario, and generate the interconnection constraint matrix coefficients and the demand-side resource state probability matrix;

[0187] A result module, used to establish a constraint set for the demand-side resources to participate in energy interconnection under the business scenario based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix;

[0188] Among them, the business scenarios include: peak shaving and valley filling scenarios, renewable energy consumption scenarios and auxiliary service scenarios.

[0189] In an embodiment, the constraining module is constructed, including:

[0190] Construct a self-constraint unit to establish self-constraint conditions of demand-side resources for each type of demand-side resource;

[0191] Constructing an interconnection constraint unit for establishing demand-side resource interconnection constraints between different types of demand response resources;

[0192] Among them, the constraints on the demand-side resources participating in energy interconnection include the demand-side resource constraints themselves and the demand-side resource interconnection constraints.

[0193] In the embodiment, the result module includes:

[0194] A self-constraint set generation unit, used for obtaining a set of self-constraints of all demand-side resources participating in the energy interconnection based on the demand-side resources participating in the energy interconnection and the self-constraint conditions of each demand-side resource;

[0195] A first analysis unit is used to generate a self-constraint set of demand-side resources participating in energy interconnection based on the set of self-constraints of each demand-side resource and the demand-side resource state probability matrix;

[0196] An interconnection constraint set generating unit, used for generating an interconnection constraint set of demand-side resources based on demand-side resources participating in energy interconnection and interconnection constraint conditions of demand-side resources;

[0197] A second analysis unit is used to generate an interconnection constraint set for the demand-side resources to participate in energy interconnection based on the interconnection constraint set and interconnection constraint matrix coefficients of the demand-side resources;

[0198] The result unit is used to construct a constraint set for demand-side resources to participate in energy interconnection under the business scenario based on the own constraint set and the interconnection constraint set.

[0199] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0200] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0201] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0202] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0203] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A method for constructing constraint conditions for demand-side resources to participate in energy interconnection, characterized in that: include: For different types of demand-side resources, establish constraints on demand-side resources’ participation in energy interconnection; Construct multiple different business scenarios, and determine the demand-side resources participating in energy interconnection based on each business scenario, generate interconnection constraint matrix coefficients and demand-side resource state probability matrix; Based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix, a constraint set for the demand-side resources to participate in energy interconnection under the business scenario is established; The business scenarios include: peak shaving and valley filling scenarios, renewable energy consumption scenarios and auxiliary service scenarios; The constraints for different types of demand-side resources to participate in energy interconnection are established, including: Establish demand-side resource constraints for each type of demand-side resource; Establish demand-side resource interconnection constraints between different types of demand response resources; The constraints on the demand-side resources participating in energy interconnection include the demand-side resource constraints themselves and the demand-side resource interconnection constraints; The establishing of a constraint set for the demand-side resources to participate in energy interconnection under the business scenario based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix includes: Based on the demand-side resources participating in energy interconnection and the constraints of each demand-side resource, the set of constraints of all demand-side resources participating in energy interconnection is obtained; Based on the set of self-constraints of each demand-side resource and the demand-side resource state probability matrix, a self-constraint set of the demand-side resource participating in energy interconnection is generated; Based on the demand-side resources participating in energy interconnection and the interconnection constraints of the demand-side resources, a set of interconnection constraints of the demand-side resources is generated; Based on the interconnection constraint set and interconnection constraint matrix coefficients of the demand-side resources, generate an interconnection constraint set for the demand-side resources to participate in energy interconnection; Based on the self-constraint set and the interconnection constraint set, a constraint set for demand-side resources to participate in energy interconnection under the business scenario is constructed.

2. The method according to claim 1, characterized in that The types of demand-side resources include: energy supply resources, energy consumption resources, and energy supply and consumption resources; The energy supply resources include distributed wind turbines, distributed photovoltaic generators and gas turbines; The energy resources include uncontrollable loads, transferable loads and interruptible loads; The energy supply and use resources include electric vehicles and batteries.

3. The method according to claim 2, characterized in that The demand-side resource constraints for each type of demand-side resource are established, including: Construct power generation output constraints, minimum on / off constraints, and ramp constraints for energy resources; Constructing the maximum continuous controlled time constraint, the minimum controlled interval time constraint, the total controlled time constraint within the dispatch period and the load reduction constraint for the energy resources; To provide both energy supply and energy consumption resources, battery performance constraints, energy storage output constraints and capacity constraints are established.

4. The method according to claim 1, characterized in that The demand-side resource interconnection constraint conditions include: Load demand peak-valley difference constraints, equivalent load rate constraints, renewable energy power generation proportion constraints, carbon emission constraints, power supply reliability constraints, user satisfaction constraints, comprehensive energy utilization and operating cost constraints.

5. The method according to claim 1, characterized in that The demand-side resource state probability matrix is ​​shown in the following formula: Where S represents the demand-side resource state probability matrix, s it It represents the probability of the i-th type of demand-side resource using / supplying electricity in time period t; n represents the type of demand-side resource; T is the number of time periods in the statistical period.

6. A system for constructing constraints for demand-side resources to participate in energy interconnection, characterized in that: include: Construct a constraint module to establish constraint conditions for different types of demand-side resources to participate in energy interconnection; The relationship module is used to construct multiple different business scenarios, and determine the demand-side resources participating in energy interconnection based on each business scenario, and generate the interconnection constraint matrix coefficients and the demand-side resource state probability matrix; A result module, used to establish a constraint set for the demand-side resources to participate in energy interconnection under the business scenario based on the constraint conditions for the demand-side resources to participate in energy interconnection, the interconnection constraint matrix coefficients and the demand-side resource state probability matrix; The business scenarios include: peak shaving and valley filling scenarios, renewable energy consumption scenarios and auxiliary service scenarios; The construction constraint module comprises: Construct a self-constraint unit to establish self-constraint conditions of demand-side resources for each type of demand-side resource; Constructing an interconnection constraint unit for establishing demand-side resource interconnection constraints between different types of demand response resources; The constraints on the demand-side resources participating in energy interconnection include the demand-side resource constraints themselves and the demand-side resource interconnection constraints; The result module includes: A self-constraint set generation unit, used for obtaining a set of self-constraints of all demand-side resources participating in the energy interconnection based on the demand-side resources participating in the energy interconnection and the self-constraint conditions of each demand-side resource; A first analysis unit is used to generate a self-constraint set of demand-side resources participating in energy interconnection based on the set of self-constraints of each demand-side resource and the demand-side resource state probability matrix; An interconnection constraint set generating unit, used for generating an interconnection constraint set of demand-side resources based on demand-side resources participating in energy interconnection and interconnection constraint conditions of demand-side resources; A second analysis unit is used to generate an interconnection constraint set for the demand-side resources to participate in energy interconnection based on the interconnection constraint set and interconnection constraint matrix coefficients of the demand-side resources; The result unit is used to construct a constraint set for demand-side resources to participate in energy interconnection under the business scenario based on the own constraint set and the interconnection constraint set.

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