Multi-type load power grid low-carbon optimization scheduling method and system

Abstract

The invention discloses a multi-type load power grid low-carbon optimization scheduling method and system, and the method comprises the steps: firstly constructing a load scheduling model which takes the maximum absorption of new energy in a region as a target, then solving the load scheduling model, obtaining the regional load scheduling power of each time period in a scheduling period, and finally obtaining the load scheduling power of each time period region in the scheduling period based on the load scheduling power required by each time period region in the scheduling period. The dispatching cost and carbon emission of regional resident loads, commercial loads, industrial loads and electric vehicle adjustable loads are comprehensively considered, a multi-type load power grid low-carbon dispatching model is established, finally, the multi-type load power grid low-carbon dispatching model is solved, and a multi-type load power grid low-carbon dispatching scheme is obtained. According to the method, scheduling characteristics of various types of loads such as a resident load, a commercial load, an industrial load and an electric vehicle adjustable load and spatial and temporal changes of power grid node carbon emission factors are comprehensively considered, new energy consumption improvement is taken as a target, and regional power grid carbon emission is reduced while power grid scheduling cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of electric power technology, and in particular relates to a low-carbon optimization dispatching method and system for a multi-type load power grid. Background Art

[0002] With the rapid development of new energy vehicle technology and the gradual enhancement of green travel awareness, the market penetration rate of new energy vehicles is getting higher and higher, and the sharp increase in the demand for new energy vehicle charging has a significant impact on the load of the power grid. Based on the differences in electric vehicle charging demand during power grid dispatching and the demand response characteristics of different types of loads, the optimal dispatch of the power grid load side is carried out with the goal of minimizing dispatching costs and carbon emissions, which not only helps to increase the new energy consumption rate and enhance the stability of the power grid, but also effectively reduces the carbon emissions of the power grid.

[0003] Traditional grid dispatching methods often formulate corresponding dispatching strategies for each type of load, and pay more attention to the safety and economy of the grid, ignoring environmental protection. The low-carbon dispatching strategy of the grid that includes multiple types of loads such as electric vehicles does not take into account the impact of differentiated charging needs of electric vehicles on regional grid dispatching, and does not match the dispatching strategies for different time periods with the real-time changing electricity carbon emission factors, which is not conducive to the flexible dispatching of flexible loads and the low-carbon operation of the grid. Summary of the invention

[0004] The purpose of the present invention is to provide a low-carbon optimization scheduling method and system for a multi-type load power grid in view of the above-mentioned problems existing in the prior art.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention proposes a low-carbon optimization dispatching method for a multi-type load power grid, comprising:

[0007] S1. Construct a load dispatch model with the goal of maximizing the consumption of new energy in the region;

[0008] S2. Solve the load dispatch model to obtain the regional load dispatch power in each period within the dispatch cycle;

[0009] S3. Based on the load dispatching power required in each period of the dispatching cycle, the dispatching cost and carbon emissions of regional residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles are comprehensively considered to establish a low-carbon dispatching model for multi-type load power grids;

[0010] S4. Solve the low-carbon dispatch model of the multi-type load power grid and obtain the low-carbon dispatch plan of the multi-type load power grid.

[0011] The objective function of the multi-type load power grid low-carbon dispatch model includes:

[0012]

[0013] R dis,t =R ind,t +R com,t +R EV,t

[0014]

[0015]

[0016] In the above formula, F t is the low-carbon dispatch index of power grid load, κ is the weight coefficient, R dis,t is the grid load dispatching cost in period t, are the regional load power and load dispatching power in period t, respectively, car,t is the carbon price cost in period t, E af,t 、E be,t are the total carbon emissions of the regional power grid before and after dispatch, R ind,t , R com,t , R EV,t are the dispatching costs of industrial load, commercial load and electric vehicle load respectively, γ ind is the compensation unit price of industrial load, λ ind,t , com,t , EV,t are the electricity prices of industrial load, commercial load and electric vehicle load in period t, are the dispatching powers of regional industrial load, commercial load and electric vehicle load in period t, are the compensation unit price and curtailment power of commercial load of level k, respectively, where K is the level number of commercial load;

[0017] The constraints of the low-carbon dispatch model for multi-type load power grids include power balance constraints, electric vehicle charging constraints, distribution network flow constraints, and load reduction constraints.

[0018] Said Calculated based on the following formula:

[0019]

[0020] In the above formula, x j,t , are the dispatching state and charging power of the jth electric vehicle in period t, is the minimum charging power of the jth electric vehicle, M is the number of electric vehicles connected to the grid, SOC j (t) is the state of charge of the j-th electric vehicle in period t, is the minimum charge requirement of the j-th electric vehicle, η j , are the initial state of charge, charging efficiency, and rated capacity of the battery of the j-th electric vehicle, respectively; Δt is the charging time of the j-th electric vehicle in period t;

[0021] The E af,t 、E be,t Calculated based on the following formula:

[0022]

[0023] In the above formula, E t is the total carbon emissions of the regional power grid during period t, C i,t is the carbon emission factor of load node i in period t, is the load power of load node i in period t, N is the set of nodes in the regional power grid, are the power injected into load node i at time t and the injected power of the generator set connected to load node i, respectively, i,t , They are the carbon flow density of load node i in period t and the carbon potential of the generator set connected to load node i.

[0024] The power balance constraints include:

[0025]

[0026] In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0027] The electric vehicle charging constraints include:

[0028]

[0029] In the above formula, SOC j (t) is the state of charge of the j-th electric vehicle in period t, are the minimum and maximum charge requirements of the j-th electric vehicle respectively;

[0030] The distribution network flow constraints include:

[0031] P l,min ≤P l ≤P l,max

[0032] In the above formula, P l is the active power flow of the line, P l,min , P l,maxare the lower and upper limits of line transmission power respectively;

[0033] The load reduction constraint includes:

[0034] t min ≤Δt′≤t max

[0035]

[0036] In the above formula, Δt′ is the translation time of industrial load, t min ,t max are the minimum and maximum translation time of industrial load, They are the lower and upper limits of commercial load respectively.

[0037] The objective function of the load dispatch model includes:

[0038]

[0039] In the above formula, Q net is the net load of the regional power grid, are the regional load power and load dispatching power in period t, P PV (t), P WP (t) are the regional photovoltaic and wind turbine power generation outputs in period t, and T is the scheduling period;

[0040] The constraints of the load dispatch model include:

[0041] Power balance constraints

[0042]

[0043] In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0044] Regional load dispatch power constraints

[0045]

[0046] In the above formula, The maximum load dispatching power for the regional power grid.

[0047] In a second aspect, the present invention proposes a multi-type load power grid low-carbon optimization dispatching system, including a load dispatching model building module, a load dispatching model solving module, a multi-type load power grid low-carbon dispatching model building module, and a multi-type load power grid low-carbon dispatching model solving module;

[0048] The multi-type load power grid low-carbon dispatch model is used to construct a load dispatch model with the goal of maximizing the absorption of new energy in the region;

[0049] The load dispatch model solving module is used to solve the load dispatch model to obtain the regional load dispatch power in each period within the dispatch cycle;

[0050] The multi-type load power grid low-carbon dispatch model construction module is used to establish a multi-type load power grid low-carbon dispatch model based on the load dispatch power required in each period of the dispatch cycle, taking into account the dispatch cost and carbon emissions of regional residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles;

[0051] The multi-type load power grid low-carbon dispatch model solving module is used to solve the multi-type load power grid low-carbon dispatch model to obtain the multi-type load power grid low-carbon dispatch plan.

[0052] The objective function of the multi-type load power grid low-carbon dispatch model includes:

[0053]

[0054] R dis,t =R ind,t +R com,t +R EV,t

[0055]

[0056] In the above formula, F t is the low-carbon dispatch index of power grid load, κ is the weight coefficient, R dis,t is the grid load dispatching cost in period t, are the regional load power and load dispatching power in period t, respectively, car,t is the carbon price cost in period t, E af,t 、E be,t are the total carbon emissions of the regional power grid before and after dispatch, R ind,t , R com,t , R EV,t are the dispatching costs of industrial load, commercial load and electric vehicle load respectively, γ ind is the compensation unit price of industrial load, λ ind,t , com,t , EV,t are the electricity prices of industrial load, commercial load and electric vehicle load in period t, are the dispatching powers of regional industrial load, commercial load and electric vehicle load in period t, are the compensation unit price and curtailment power of commercial load of level k, respectively, where K is the level number of commercial load;

[0057] The constraints of the low-carbon dispatch model for multi-type load power grids include power balance constraints, electric vehicle charging constraints, distribution network flow constraints, and load reduction constraints.

[0058] Said Calculated based on the following formula:

[0059]

[0060]

[0061] In the above formula, x j,t , are the dispatching state and charging power of the jth electric vehicle in period t, is the minimum charging power of the jth electric vehicle, M is the number of electric vehicles connected to the grid, SOC j (t) is the state of charge of the j-th electric vehicle in period t, is the minimum charge requirement of the j-th electric vehicle, η j , are the initial state of charge, charging efficiency, and rated capacity of the battery of the j-th electric vehicle, respectively; Δt is the charging time of the j-th electric vehicle in period t;

[0062] The E af,t 、E be,t Calculated based on the following formula:

[0063]

[0064] In the above formula, E t is the total carbon emissions of the regional power grid during period t, C i,t is the carbon emission factor of load node i in period t, is the load power of load node i in period t, N is the set of nodes in the regional power grid, are the power injected into load node i at time t and the injected power of the generator set connected to load node i, respectively, i,t , They are the carbon flow density of load node i in period t and the carbon potential of the generator set connected to load node i.

[0065] The power balance constraints include:

[0066]

[0067] In the above formula, P loss (t), P grid (t), P MT(t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0068] The electric vehicle charging constraints include:

[0069]

[0070] In the above formula, SOC j (t) is the state of charge of the j-th electric vehicle in period t, are the minimum and maximum charge requirements of the j-th electric vehicle respectively;

[0071] The distribution network flow constraints include:

[0072] P l,min ≤P l ≤P l,max

[0073] In the above formula, P l is the active power flow of the line, P l,min , P l,max are the lower and upper limits of line transmission power respectively;

[0074] The load reduction constraint includes:

[0075] t min ≤Δt′≤t max

[0076]

[0077] In the above formula, Δt′ is the translation time of industrial load, t min ,t max are the minimum and maximum translation time of industrial load, They are the lower and upper limits of commercial load respectively.

[0078] The objective function of the load dispatch model includes:

[0079]

[0080] In the above formula, Q net is the net load of the regional power grid, are the regional load power and load dispatching power in period t, P PV (t), P WP (t) are the power generation output of regional photovoltaic and wind turbines in period t, and T is the dispatching period;

[0081] The constraints of the load dispatch model include:

[0082] Power balance constraints

[0083]

[0084] In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0085] Regional load dispatch power constraints

[0086]

[0087] In the above formula, The maximum load dispatching power for the regional power grid.

[0088] Compared with the prior art, the present invention has the following beneficial effects:

[0089] 1. A low-carbon optimization scheduling method for a multi-type load power grid of the present invention first constructs a load scheduling model with the goal of maximizing the regional absorption of new energy, then solves the load scheduling model to obtain the regional load scheduling power for each time period within the scheduling cycle, and then based on the load scheduling power required by the region in each time period within the scheduling cycle, comprehensively considers the scheduling costs and carbon emissions of regional residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles, establishes a low-carbon scheduling model for a multi-type load power grid, and finally solves the low-carbon scheduling model for a multi-type load power grid to obtain a low-carbon scheduling plan for a multi-type load power grid. This method comprehensively considers the scheduling characteristics of multiple types of loads such as residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles, with the goal of improving the absorption of new energy, while reducing the grid scheduling cost and reducing the carbon emissions of the regional grid.

[0090] 2. The present invention provides a low-carbon optimization scheduling method for multi-type load power grids, targeting electric vehicle loads, taking into account the impact of differentiated charging demands of electric vehicles on regional power grid scheduling. At the same time, it matches the scheduling strategies of different time periods with the real-time changing carbon emission factors of electricity, which is conducive to the flexible scheduling of flexible loads and the low-carbon operation of power grids. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 The present invention is a flowchart of the method.

[0092] Figure 2 The structure diagram of the system of the present invention is shown in FIG. DETAILED DESCRIPTION

[0093] The present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0094] Embodiment 1:

[0095] A low-carbon optimization dispatching method for multi-type load power grids, such as Figure 1 As shown, follow the steps below to implement:

[0096] 1. Construct a load dispatch model with the goal of maximizing the absorption of new energy in the region.

[0097] Based on the regional photovoltaic and wind turbine power generation output, when the load curve consumes as much new energy as possible, the net load of the power grid is the smallest. Therefore, the following regional power grid load dispatching model with the minimum net load of the regional power grid as the objective function is established:

[0098]

[0099] In the above formula, Q net is the net load of the regional power grid, are the regional load power and load dispatching power in period t, P PV (t), P WP (t) are the regional photovoltaic and wind turbine power generation outputs in period t, and T is the scheduling period;

[0100] The constraints of the load dispatch model include:

[0101] Power balance constraints

[0102]

[0103] In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0104] Regional load dispatch power constraints

[0105]

[0106] In the above formula, The maximum load dispatching power for the regional power grid.

[0107] 2. Solve the above load dispatch model to obtain the regional load dispatch power for each period within the dispatch cycle

[0108] 3. Classify the load types of regional power grid nodes and calculate the dynamic carbon emission factor C of each load node based on the power grid flow information i,t , and according to the meter information, the node load is divided into industrial load, commercial load, residential load and electric vehicle charging load, among which C i,t Calculated based on the following formula:

[0109]

[0110] In the above formula, are the power injected into load node i at time t and the injected power of the generator set connected to load node i, respectively, i,t , They are the carbon flow density of load node i in period t and the carbon potential of the generator set connected to load node i.

[0111] 4. Calculate the dispatching power of electric vehicle load based on electric vehicle charging demand:

[0112]

[0113] In the above formula, is the dispatching power of regional electric vehicle load during period t, x j,t , are the dispatching state and charging power of the jth electric vehicle in period t, is the minimum charging power of the jth electric vehicle, M is the number of electric vehicles connected to the grid, SOC j (t) is the state of charge of the j-th electric vehicle in period t, is the minimum charge requirement of the j-th electric vehicle, η j , are the initial state of charge, charging efficiency, and battery rated capacity of the j-th electric vehicle, and Δt is the charging time of the j-th electric vehicle in period t.

[0114] 5. Based on the load dispatching power required in the region in each period within the dispatching cycle, taking into account the dispatching costs and carbon emissions of regional residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles, set low-carbon dispatching indicators for power grid loads and establish a low-carbon dispatching model for multi-type load power grids.

[0115] The objective function of the model is:

[0116]

[0117] R dis,t =R ind,t +R com,t +R EV,t

[0118]

[0119] In the above formula, F t is the low-carbon dispatch index of power grid load, κ is the weight coefficient, and its value range is (0, 1), R dis,t is the grid load dispatching cost in period t, are the regional load power and load dispatching power in period t, respectively, car,t is the carbon price cost in period t, Eaf,t 、E be,t are the total carbon emissions of the regional power grid before and after dispatch, R ind,t , R com,t , R EV,t are the dispatching costs of industrial load, commercial load and electric vehicle load respectively, γ ind is the compensation unit price of industrial load, λ ind,t , com,t , EV,t are the electricity prices of industrial load, commercial load and electric vehicle load in period t, are the dispatching powers of regional industrial load, commercial load and electric vehicle load in period t, are the compensation unit price and curtailment power of commercial load with level k, K is the level of commercial load, E t is the total carbon emissions of the regional power grid during period t, C i,t is the carbon emission factor of load node i in period t, is the load power of load node i in period t, N is the set of nodes in the regional power grid;

[0120] The constraints include:

[0121] Power balance constraints

[0122]

[0123] In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0124] Electric vehicle charging constraints

[0125]

[0126] In the above formula, SOC j (t) is the state of charge of the j-th electric vehicle in period t, are the minimum and maximum charge requirements of the j-th electric vehicle respectively;

[0127] Distribution network power flow constraints

[0128] P l,min ≤P l ≤P l,max

[0129] In the above formula, P l is the active power flow of the line, P l,min , P l,max are the lower and upper limits of line transmission power respectively;

[0130] Load reduction constraints

[0131] t min ≤Δt′≤t max

[0132]

[0133] In the above formula, Δt′ is the translation time of industrial load, t min ,t max are the minimum and maximum translation time of industrial load, They are the lower and upper limits of commercial load respectively.

[0134] 6. Solve the above-mentioned low-carbon dispatching model of the multi-type load power grid and obtain the low-carbon dispatching plan of the multi-type load power grid, including the dispatching power of industrial load, commercial load and electric vehicle load on the load side.

[0135] Embodiment 2:

[0136] A multi-type load power grid low-carbon optimization dispatching system comprises a load dispatching model building module, a load dispatching model solving module, a multi-type load power grid low-carbon dispatching model building module, and a multi-type load power grid low-carbon dispatching model solving module.

[0137] The multi-type load power grid low-carbon dispatch model is used to construct a load dispatch model with the goal of maximizing the absorption of new energy in the region. The objective function of the model is:

[0138]

[0139] In the above formula, Q net is the net load of the regional power grid, are the regional load power and load dispatching power in period t, P PV (t), P WP (t) are the power generation output of regional photovoltaic and wind turbines in period t, and T is the dispatching period;

[0140] The constraints of the load dispatch model include:

[0141] Power balance constraints

[0142]

[0143] In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0144] Regional load dispatch power constraints

[0145]

[0146] In the above formula, The maximum load dispatching power for the regional power grid.

[0147] The load dispatch model solving module is used to solve the load dispatch model to obtain the regional load dispatch power in each time period within the dispatch cycle.

[0148] The multi-type load power grid low-carbon dispatch model construction module is used to establish a multi-type load power grid low-carbon dispatch model based on the load dispatch power required in each period of the dispatch cycle, taking into account the dispatch cost and carbon emissions of regional residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles. The objective function of the model is:

[0149]

[0150] R dis,t =R ind,t +R com,t +R EV,t

[0151]

[0152]

[0153] In the above formula, F t is the low-carbon dispatch index of power grid load, κ is the weight coefficient, R dis,t is the grid load dispatching cost in period t, are the regional load power and load dispatching power in period t, respectively, car,t is the carbon price cost in period t, E af,t 、E be,t are the total carbon emissions of the regional power grid before and after dispatch, R ind,t , R com,t , R EV,t are the dispatching costs of industrial load, commercial load and electric vehicle load respectively, γ ind is the compensation unit price of industrial load, λ ind,t , com,t , EV,t are the electricity prices of industrial load, commercial load and electric vehicle load in period t, are the dispatching powers of regional industrial load, commercial load and electric vehicle load in period t, are the compensation unit price and curtailment power of commercial load with level k, K is the level of commercial load, E t is the total carbon emissions of the regional power grid during period t, C i,tis the carbon emission factor of load node i in period t, is the load power of load node i in period t, N is the set of nodes in the regional power grid, are the power injected into load node i at time t and the injected power of the generator set connected to load node i, respectively, i,t , are the carbon flow density of load node i in period t, the carbon potential of the generator set connected to load node i, and x j,t , are the dispatching state and charging power of the jth electric vehicle in period t, is the minimum charging power of the jth electric vehicle, M is the number of electric vehicles connected to the grid, SOC j (t) is the state of charge of the j-th electric vehicle in period t, is the minimum charge requirement of the j-th electric vehicle, η j , are the initial state of charge, charging efficiency, and rated capacity of the battery of the j-th electric vehicle, respectively; Δt is the charging time of the j-th electric vehicle in period t;

[0154] The constraints include:

[0155] Power balance constraints

[0156]

[0157] In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t;

[0158] Electric vehicle charging constraints

[0159]

[0160] In the above formula, SOC j (t) is the state of charge of the j-th electric vehicle in period t, are the minimum and maximum charge requirements of the j-th electric vehicle respectively;

[0161] Distribution network power flow constraints

[0162] P l,min ≤P l ≤P l,max

[0163] In the above formula, P l is the active power flow of the line, P l,min , P l,maxare the lower and upper limits of line transmission power respectively;

[0164] Load reduction constraints

[0165] t min ≤Δt′≤t max

[0166]

[0167] In the above formula, Δt′ is the translation time of industrial load, t min ,t max are the minimum and maximum translation time of industrial load, They are the lower and upper limits of commercial load respectively.

[0168] The multi-type load power grid low-carbon dispatch model solving module is used to solve the multi-type load power grid low-carbon dispatch model to obtain a multi-type load power grid low-carbon dispatch plan, including the dispatch power of industrial loads, commercial loads, and electric vehicle loads on the load side.

Claims

1. A low-carbon optimization dispatching method for a multi-type load power grid, characterized in that: The method comprises: S1. Construct a load dispatch model with the goal of maximizing the consumption of new energy in the region; S2. Solve the load dispatch model to obtain the regional load dispatch power in each period within the dispatch cycle; S3. Based on the load dispatching power required in each period of the dispatching cycle, the dispatching cost and carbon emissions of regional residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles are comprehensively considered to establish a low-carbon dispatching model for multi-type load power grids; S4. Solve the low-carbon dispatch model of the multi-type load power grid and obtain the low-carbon dispatch plan of the multi-type load power grid.

2. A low-carbon optimization dispatching method for a multi-type load power grid according to claim 1, characterized in that: The objective function of the multi-type load power grid low-carbon dispatch model includes: R dis,t =R ind,t +R com,t +R EV,t In the above formula, F t is the low-carbon dispatch index of power grid load, κ is the weight coefficient, R dis,t is the grid load dispatching cost in period t, are the regional load power and load dispatching power in period t, respectively, car,t is the carbon price cost in period t, E af,t 、E be,t are the total carbon emissions of the regional power grid before and after dispatch, R ind,t , R com,t , R EV,t are the dispatching costs of industrial load, commercial load and electric vehicle load respectively, γ ind is the compensation unit price of industrial load, λ ind,t , com,t , EV,t are the electricity prices of industrial load, commercial load and electric vehicle load in period t, are the dispatching powers of regional industrial load, commercial load and electric vehicle load in period t, are the compensation unit price and curtailment power of commercial load of level k, respectively, where K is the level number of commercial load; The constraints of the low-carbon dispatch model for multi-type load power grids include power balance constraints, electric vehicle charging constraints, distribution network flow constraints, and load reduction constraints.

3. A low-carbon optimization dispatching method for a multi-type load power grid according to claim 2, characterized in that: Said Calculated based on the following formula: In the above formula, x j,t , are the dispatching state and charging power of the jth electric vehicle in period t, is the minimum charging power of the jth electric vehicle, M is the number of electric vehicles connected to the grid, SOC j (t) is the state of charge of the j-th electric vehicle in period t, is the minimum charge requirement of the j-th electric vehicle, are the initial state of charge, charging efficiency, and rated capacity of the battery of the j-th electric vehicle, respectively; Δt is the charging time of the j-th electric vehicle in period t; The E af,t 、E be,t Calculated based on the following formula: In the above formula, E t is the total carbon emissions of the regional power grid during period t, C i,t is the carbon emission factor of load node i in period t, is the load power of load node i in period t, N is the set of nodes in the regional power grid, are the power injected into load node i at time t and the injected power of the generator set connected to load node i, respectively, i,t , They are the carbon flow density of load node i in period t and the carbon potential of the generator set connected to load node i.

4. A low-carbon optimization dispatching method for a multi-type load power grid according to claim 2 or 3, characterized in that: The power balance constraints include: In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t; The electric vehicle charging constraints include: In the above formula, SOC j (t) is the state of charge of the j-th electric vehicle in period t, are the minimum and maximum charge requirements of the j-th electric vehicle respectively; The distribution network flow constraints include: P l,min ≤P l ≤P l,max In the above formula, P l is the active power flow of the line, P l,min , P l,max are the lower and upper limits of line transmission power respectively; The load reduction constraints include: t min ≤Δt′≤t max In the above formula, Δt′ is the translation time of industrial load, t min ,t max are the minimum and maximum translation time of industrial load, They are the lower and upper limits of commercial load respectively.

5. A low-carbon optimization dispatching method for a multi-type load power grid according to claim 1, characterized in that: The objective function of the load dispatching model includes: In the above formula, Q net is the net load of the regional power grid, are the regional load power and load dispatching power in period t, P PV (t), P WP (t) are the power generation output of regional photovoltaic and wind turbines in period t, and T is the dispatching period; The constraints of the load dispatch model include: Power balance constraints In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t; Regional load dispatch power constraints In the above formula, The maximum load dispatching power for the regional power grid.

6. A low-carbon optimization dispatching system for a multi-type load power grid, characterized in that: The system includes a load dispatch model construction module, a load dispatch model solution module, a multi-type load power grid low-carbon dispatch model construction module, and a multi-type load power grid low-carbon dispatch model solution module; The multi-type load power grid low-carbon dispatch model is used to construct a load dispatch model with the goal of maximizing the absorption of new energy in the region; The load dispatch model solving module is used to solve the load dispatch model to obtain the regional load dispatch power in each period within the dispatch cycle; The multi-type load power grid low-carbon dispatch model construction module is used to establish a multi-type load power grid low-carbon dispatch model based on the load dispatch power required in each period of the dispatch cycle, taking into account the dispatch cost and carbon emissions of regional residential loads, commercial loads, industrial loads, and adjustable loads of electric vehicles; The multi-type load power grid low-carbon dispatch model solving module is used to solve the multi-type load power grid low-carbon dispatch model to obtain a multi-type load power grid low-carbon dispatch plan, including industrial loads, commercial loads, and electric vehicle loads on the load side.

7. A multi-type load power grid low-carbon optimization dispatching system according to claim 6, characterized in that: The objective function of the multi-type load power grid low-carbon dispatch model includes: R dis,t =R ind,t +R com,t +R EV,t In the above formula, F t is the low-carbon dispatch index of power grid load, κ is the weight coefficient, R dis,t is the grid load dispatching cost in period t, are the regional load power and load dispatching power in period t, respectively, car,t is the carbon price cost in period t, E af,t 、E be,t are the total carbon emissions of the regional power grid before and after dispatch, R ind,t , R com,t , R EV,t are the dispatching costs of industrial load, commercial load and electric vehicle load respectively, γ ind is the compensation unit price of industrial load, λ ind,t , com,t , EV,t are the electricity prices of industrial load, commercial load and electric vehicle load in period t, are the dispatching powers of regional industrial load, commercial load and electric vehicle load in period t, are the compensation unit price and curtailment power of commercial load of level k, respectively, where K is the level number of commercial load; The constraints of the low-carbon dispatch model for multi-type load power grids include power balance constraints, electric vehicle charging constraints, distribution network flow constraints, and load reduction constraints.

8. A low-carbon optimization dispatching method for a multi-type load power grid according to claim 7, characterized in that: Said Calculated based on the following formula: In the above formula, x j,t , are the dispatching state and charging power of the jth electric vehicle in period t, is the minimum charging power of the jth electric vehicle, M is the number of electric vehicles connected to the grid, SOC j (t) is the state of charge of the j-th electric vehicle in period t, is the minimum charge requirement of the j-th electric vehicle, are the initial state of charge, charging efficiency, and rated capacity of the battery of the j-th electric vehicle, respectively; Δt is the charging time of the j-th electric vehicle in period t; The E af,t 、E be,t Calculated based on the following formula: In the above formula, E t is the total carbon emissions of the regional power grid during period t, C i,t is the carbon emission factor of load node i in period t, is the load power of load node i in period t, N is the set of nodes in the regional power grid, are the power injected into load node i at time t and the injected power of the generator set connected to load node i, respectively, i,t , They are the carbon flow density of load node i in period t and the carbon potential of the generator set connected to load node i.

9. A low-carbon optimization dispatching method for a multi-type load power grid according to claim 7 or 8, characterized in that: The power balance constraints include: In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t; The electric vehicle charging constraints include: In the above formula, SOC j (t) is the state of charge of the j-th electric vehicle in period t, are the minimum and maximum charge requirements of the j-th electric vehicle respectively; The distribution network flow constraints include: P l,min ≤P l ≤P l,max In the above formula, P l is the active power flow of the line, P l,min , P l,max are the lower and upper limits of line transmission power respectively; The load reduction constraints include: t min ≤Δt′≤t max In the above formula, Δt′ is the translation time of industrial load, t min ,t max are the minimum and maximum translation time of industrial load, They are the lower and upper limits of commercial load respectively.

10. A low-carbon optimization dispatching method for a multi-type load power grid according to claim 6, characterized in that: The objective function of the load dispatching model includes: In the above formula, Q net is the net load of the regional power grid, are the regional load power and load dispatching power in period t, P PV (t), P WP (t) are the power generation output of regional photovoltaic and wind turbines in period t, and T is the dispatching period; The constraints of the load dispatch model include: Power balance constraints In the above formula, P loss (t), P grid (t), P MT (t) are the power loss, power purchased from the main power grid, and power of the gas turbine in period t; Regional load dispatch power constraints In the above formula, The maximum load dispatching power for the regional power grid.

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