CN117220346B - Comprehensive energy service business electricity-carbon-green certificate double-layer distributed scheduling method - Google Patents
Comprehensive energy service business electricity-carbon-green certificate double-layer distributed scheduling method Download PDFInfo
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- 229910052799 carbon Inorganic materials 0.000 claims abstract description 136
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- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 claims description 54
- LCGLNKUTAGEVQW-UHFFFAOYSA-N Dimethyl ether Chemical compound COC LCGLNKUTAGEVQW-UHFFFAOYSA-N 0.000 claims description 36
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 36
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- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 3
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Abstract
The invention discloses a comprehensive energy service business electricity-carbon-green certificate double-layer distributed scheduling method, which comprises the following steps: (1) Constructing an electricity-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider; (2) Constructing an electricity-carbon-green certificate distributed scheduling model of a lower-layer power distribution network operator; (3) Constructing a distribution network carbon emission amount calculation model containing comprehensive energy service providers; (4) And (3) iteratively solving the distributed scheduling models in the step (1) and the step (2), solving a distribution network carbon emission amount calculation model containing the comprehensive energy service provider in each iteration process to obtain carbon emission intensity and flow, and taking the carbon emission intensity and the flow as the input quantity of iteration to obtain the comprehensive energy service provider distributed scheduling strategy. The invention builds the comprehensive energy service provider electricity-carbon-green certificate distributed scheduling model, realizes the joint scheduling of the comprehensive energy service provider and the power distribution network operators electricity, carbon and green certificates, and improves the scheduling flexibility of the comprehensive energy service provider.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy, and particularly relates to an electricity-carbon-green certificate double-layer distributed scheduling method of a comprehensive energy service provider.
Background
Under the goal of constructing a novel power system taking new energy as a main body, in order to realize energy transformation and efficient utilization of resources, an energy structure taking thermal power as a main body is gradually evolved into a situation that multiple energy sources such as gas electricity, water electricity, wind electricity and the like generate electricity and lift, and the comprehensive energy system gradually becomes an important mode of energy supply.
In recent years, integrated energy servers have played an important role in resolving uncertainty in renewable energy production. Under the background of global low-carbon development, comprehensive energy service providers are developed more and more, but collaborative optimization of the comprehensive energy service providers and power distribution network operators still lacks a systematic strategy.
For the comprehensive energy service provider, the carbon scheduling and operation optimization can be combined, the operation cost is further reduced, and the electric-carbon-green certificate distributed scheduling can further promote each unit to actively participate in the scheduling, so that the scheduling is more flexible. How to realize the balance of comprehensive energy service providers and load aggregators in the electric-carbon-green certificate scheduling process of power distribution network operators becomes a problem to be solved urgently.
Disclosure of Invention
In order to solve the technical problems mentioned in the background art, the invention provides a comprehensive energy service business electricity-carbon-green certificate double-layer distributed scheduling method, which comprises the following steps:
(1) Constructing an electricity-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider;
(2) Constructing an electricity-carbon-green certificate distributed scheduling model of a lower-layer power distribution network operator;
(3) Constructing a distribution network carbon emission amount calculation model containing comprehensive energy service providers;
(4) And (3) iteratively solving the distributed scheduling models in the step (1) and the step (2), solving a distribution network carbon emission amount calculation model containing comprehensive energy service providers in each iteration process to obtain carbon emission intensity and flow, and taking the carbon emission intensity and the flow as the input quantity of iteration to obtain the comprehensive energy service provider distributed scheduling strategy.
Further, the specific process of constructing the electric-carbon-green certificate distributed scheduling model of the upper comprehensive energy service provider in the step (1) is as follows:
(101) The method comprises the steps of constructing an objective function of an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider by taking the maximum sum of supply benefits of methane, methanol, dimethyl ether and octane of the comprehensive energy service provider, scheduling benefits of electricity, carbon and green evidence and energy supply benefits of electricity, gas, heat and cold as targets:
wherein: t represents a time period; k is the iteration number of the double-layer model; i and j represent nodes where the comprehensive energy service provider is located; phi I Representing a set of nodes where comprehensive energy service providers are located;and->The unit price of methane, methanol, dimethyl ether and octane in the t period is respectively; />And->The supply amounts of methane, methanol, dimethyl ether and octane of the comprehensive energy service providers corresponding to the node i in the t period are respectively calculated; />And->The power, carbon and green evidence sharing benefits at the power grid node i at the time t period of the iteration times k-1 are respectively; />And->Respectively corresponding to the node i and the node jThe sharing amount of electricity, carbon and green evidence in the period t between quotas; />And->The initial carbon emission quota and the green license quota coefficient of the comprehensive energy service provider corresponding to the node i are respectively obtained;and->Generating capacity of the thermal power unit and the clean energy unit of the comprehensive energy service provider corresponding to the node i in a t period; />And->The comprehensive energy service providers corresponding to the node i in the t period respectively purchase electricity quantity, carbon emission quantity and green certificate usage quantity from the upper power grid; />And->The comprehensive energy service providers corresponding to the nodes i in the t period respectively sell electricity, gas, heat and cold energy to users; />And->The comprehensive energy service providers corresponding to the nodes i in the t period respectively supply electricity, gas, heat and cold energy to users;
(102) Constructing constraint conditions of an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider, wherein the constraint conditions comprise electric energy, carbon emission and green evidence constraint;
(a) Comprehensive energy service provider electric energy constraint:
in the method, in the process of the invention,and->The comprehensive energy service providers corresponding to the node i in the t period respectively produce power consumption of methane, methanol, dimethyl ether and octane through carbon dioxide and hydrogen;
(b) Comprehensive energy service provider carbon emission constraint:
wherein B represents a power grid branch, B i Representing a collection of grid branches connected to node i,for the carbon emission intensity at the grid node i of the t period when the iteration number is k-1, +.>For the carbon emission flow of the power grid branch b in the period t when the iteration number is k-1, mu D Is the maximum allowable coefficient of carbon emission, +.>The excess carbon emission at the node i of the power grid in the t period when the iteration number is k-1;
(c) Comprehensive energy service provider green certificate constraint:
in the method, in the process of the invention,for the excess green at the node i of the power grid at the time t period when the iteration number is k-1Number of syndromes.
Further, the specific process of constructing the electricity-carbon-green certificate scheduling model of the lower-layer power distribution network operator in the step (2) is as follows:
(201) Constructing an objective function of an electric-carbon-green certificate scheduling model of a lower-layer power distribution network operator:
in the method, in the process of the invention,and->Penalty cost for excess carbon emissions and excess green evidence for the t period; />And->The excess carbon emission and the excess green evidence quantity at the power grid node i in the t period are respectively; />And->The active and reactive power generation costs of the generator at the node i of the power grid in the t period are respectively; />And->The active power generation capacity and the reactive power generation capacity of the generator at the node i of the power grid in the t period are respectively;
(202) Constructing constraint conditions of an electricity-carbon-green evidence scheduling model of a lower-layer distribution network operator, wherein the constraint conditions comprise electric energy, carbon emission and green evidence constraint;
(a) Distribution network operator electrical energy constraints:
wherein c represents a power grid branch;and->Respectively collecting power grid branches with a head end node and a tail end node being i;the electric sharing quantity is the electric sharing quantity of the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are reached; />The electric load quantity at the node i of the power grid in the t period; />And->Active power of the power grid branch b and the power grid branch c in the t period respectively; />Square current of the power grid branch c in the period t; r is R c And X c The resistance and reactance of branch c respectively; θ i Power factor at grid node i; />And->Reactive power of the power grid branch b and the power grid branch c in the t period respectively; s is S b Maximum allowable transmission power for grid branch b;
(b) Distribution network operator carbon emission constraints:
in the method, in the process of the invention,and->The power generation amount of the thermal power unit, the power generation amount of the clean energy unit, the electricity purchasing amount from a superior power grid, the power consumption of methane manufacture, the power consumption of methanol manufacture, the power consumption of dimethyl ether manufacture and the power consumption of octane manufacture of a comprehensive energy service provider corresponding to a t-period node i during the iteration number k respectively; />The energy sharing quantity is the energy sharing quantity in the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are reached;
(c) Distribution network operators green certificate constraints:
in the method, in the process of the invention,for the green certificate usage amount of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration times are k,comprehensive energy service provider corresponding to node i and comprehensive energy service provider corresponding to node j during iteration times kGreen license sharing amount of t period between energy service providers, < > for>Generating cost of clean energy unit for t period, < >>Is the benefit of the period t green syndrome.
Further, in the step (3), a calculation model of the carbon emission amount of the power distribution network including the comprehensive energy service provider is constructed, and the calculation model is represented as follows:
wherein I is i,t The carbon emission intensity at the node i of the power grid in the t period;the carbon emission intensity of the thermal power generating unit of the comprehensive energy service provider corresponding to the node i; />The carbon emission intensity of the upper power grid in the t period; />And->The carbon emission intensity of the power grid branch b and the power grid branch c in the t period respectively; />And->Active power of the power grid branch b and the power grid branch c in the time period t when the iteration times k are respectively; />The square current of the power grid branch c in the period t is the iteration time k; />And c, the carbon emission flow of the power grid branch b in the period t.
Further, the specific process of step (4) is as follows:
(401) The objective function of the electric-carbon-green evidence distributed scheduling model of the upper comprehensive energy service provider is rewritten into an augmentation form with penalty factors:
wherein:and->The distributed shared benefits of electricity, carbon and green evidence of the t period between the comprehensive energy service provider corresponding to the t period node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are respectively obtained;and->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node j and the comprehensive energy service provider corresponding to the node i is respectively; />Step length when the iteration number k is the step length; />And->The Lagrangian multiplier shared by electricity, carbon and green evidence of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration times are k respectively;and->The power, carbon and green evidence sharing Gaussian kernel function of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration times are k respectively>And->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration number k-1 is;
(402) Solving an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider, comprising the steps of expanding an objective function (14) and constraint conditions (2) - (4) to obtain electric sharing quantity among the comprehensive energy service providersCarbon sharing amount->And green syndrome sharing amount->The comprehensive energy service provider purchases electricity quantity from a superior power grid>Carbon emission->Dosage for treating syndrome of green colorGenerating capacity of thermal power generating unit in comprehensive energy service provider>Generating capacity of clean energy unit->Production of methane power consumptionProduction of methanol Power consumption->The power consumption for producing dimethyl ether>And manufacturing octane power consumption->Inputting the obtained parameters into an electricity-carbon-green certificate scheduling model of a lower-layer power distribution network operator and a power distribution network carbon emission amount calculation model containing a comprehensive energy service provider;
(403) Solving an electricity-carbon-green evidence scheduling model of an operator of the lower-layer power distribution network, comprising an objective function (5) and constraint conditions (6) - (11), and obtaining excess carbon emission of a power grid nodeAnd the number of excess green syndromes->And obtaining the electric sharing unit price of the grid node by the dual variable of the formula (6)>The dual variables of equation (9) obtain the carbon sharing unit price of the grid nodeThe dual variables of formula (10) obtain green evidence sharing unit price of grid nodes>Inputting the obtained parameters into an electric-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider;
(404) Solving the distribution network carbon emission amount calculation models (12) - (13) containing the comprehensive energy service provider to obtain the carbon emission intensity I of the grid nodes i,t And carbon emissions from the grid branchesInputting the obtained parameters into an electric-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider and an electric-carbon-green certificate scheduling model of a lower power distribution network operator;
(405) Judging whether the following convergence conditions are met, if yes, stopping iteration, outputting a comprehensive energy service provider distributed scheduling strategy, otherwise, returning to the step (402), and continuing the iteration process;
wherein:and->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node j and the comprehensive energy service provider corresponding to the node i when the iteration number is k is respectively; />The carbon emission intensity at a power grid node i in a t period when the iteration number is k; Λ and Δ are the convergence thresholds of the original residual and the dual residual, respectively.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the invention builds the comprehensive energy service provider electricity-carbon-green certificate distributed scheduling model, realizes the joint scheduling of the comprehensive energy service provider and the power distribution network operators electricity, carbon and green certificates, improves the scheduling flexibility of the comprehensive energy service provider, widens the resource sharing channel of the comprehensive energy service provider, reduces the carbon emission of the comprehensive energy service provider and the power distribution network operators, and improves the absorption rate of clean energy.
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FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a schematic diagram of an IEEE33 node grid test system in an embodiment.
Detailed Description
The technical scheme of the present invention will be described in detail below with reference to the accompanying drawings.
The invention designs a comprehensive energy service provider electricity-carbon-green certificate double-layer distributed scheduling method, which comprises the following specific steps of:
(1) Constructing an electricity-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider;
(2) Constructing an electricity-carbon-green certificate distributed scheduling model of a lower-layer power distribution network operator;
(3) Constructing a distribution network carbon emission amount calculation model containing comprehensive energy service providers;
(4) And (3) iteratively solving the distributed scheduling models in the step (1) and the step (2), solving a distribution network carbon emission amount calculation model containing comprehensive energy service providers in each iteration process to obtain carbon emission intensity and flow, and taking the carbon emission intensity and the flow as the input quantity of iteration to obtain the comprehensive energy service provider distributed scheduling strategy.
Further, the specific process of constructing the electric-carbon-green certificate distributed scheduling model of the upper comprehensive energy service provider in the step (1) is as follows:
(101) The method comprises the steps of constructing an objective function of an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider by taking the maximum sum of supply benefits of methane, methanol, dimethyl ether and octane of the comprehensive energy service provider, scheduling benefits of electricity, carbon and green evidence and energy supply benefits of electricity, gas, heat and cold as targets:
wherein: t represents a time period; k is the iteration number of the double-layer model; i and j represent nodes where the comprehensive energy service provider is located; phi I Representing a set of nodes where comprehensive energy service providers are located;and->The unit price of methane, methanol, dimethyl ether and octane in the t period is respectively; />And->The supply amounts of methane, methanol, dimethyl ether and octane of the comprehensive energy service providers corresponding to the node i in the t period are respectively calculated; />And->The power, carbon and green evidence sharing benefits at the power grid node i at the time t period of the iteration times k-1 are respectively; />And->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j is respectively; />And->The initial carbon emission quota and the green license quota coefficient of the comprehensive energy service provider corresponding to the node i are respectively obtained;and->Generating capacity of the thermal power unit and the clean energy unit of the comprehensive energy service provider corresponding to the node i in a t period; />And->The comprehensive energy service providers corresponding to the node i in the t period respectively purchase electricity quantity, carbon emission quantity and green certificate usage quantity from the upper power grid; />And->The comprehensive energy service providers corresponding to the nodes i in the t period respectively sell electricity, gas, heat and cold energy to users; />And->The comprehensive energy service providers corresponding to the nodes i in the t period respectively supply electricity, gas, heat and cold energy to users;
(102) Constructing constraint conditions of an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider, wherein the constraint conditions comprise electric energy, carbon emission and green evidence constraint;
(a) Comprehensive energy service provider electric energy constraint:
in the method, in the process of the invention,and->The comprehensive energy service providers corresponding to the node i in the t period respectively produce power consumption of methane, methanol, dimethyl ether and octane through carbon dioxide and hydrogen;
(b) Comprehensive energy service provider carbon emission constraint:
wherein B represents a power grid branch, B i Representing a collection of grid branches connected to node i,for the carbon emission intensity at the grid node i of the t period when the iteration number is k-1, +.>For the carbon emission flow of the power grid branch b in the period t when the iteration number is k-1, mu D Is the maximum allowable coefficient of carbon emission, +.>The excess carbon emission at the node i of the power grid in the t period when the iteration number is k-1;
(c) Comprehensive energy service provider green certificate constraint:
in the method, in the process of the invention,and the number of excess green certificates at the grid node i in the t period when the iteration number is k-1.
Further, the specific process of constructing the electricity-carbon-green certificate scheduling model of the lower-layer power distribution network operator in the step (2) is as follows:
(201) Constructing an objective function of an electric-carbon-green certificate scheduling model of a lower-layer power distribution network operator:
in the method, in the process of the invention,and->Penalty cost for excess carbon emissions and excess green evidence for the t period; />And->The excess carbon emission and the excess green evidence quantity at the power grid node i in the t period are respectively; />And->The active and reactive power generation costs of the generator at the node i of the power grid in the t period are respectively; />And->The active power generation capacity and the reactive power generation capacity of the generator at the node i of the power grid in the t period are respectively;
(202) Constructing constraint conditions of an electricity-carbon-green evidence scheduling model of a lower-layer distribution network operator, wherein the constraint conditions comprise electric energy, carbon emission and green evidence constraint;
(a) Distribution network operator electrical energy constraints:
wherein c represents a power grid branch;and->Respectively collecting power grid branches with a head end node and a tail end node being i;the electric sharing quantity is the electric sharing quantity of the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are reached; />The electric load quantity at the node i of the power grid in the t period; />And->Active power of the power grid branch b and the power grid branch c in the t period respectively; />Square current of the power grid branch c in the period t; r is R c And X c The resistance and reactance of branch c respectively; θ i Power factor at grid node i; />And->Reactive power of the power grid branch b and the power grid branch c in the t period respectively; s is S b Maximum allowable transmission power for grid branch b;
(b) Distribution network operator carbon emission constraints:
in the method, in the process of the invention,and->Respectively the iteration times kThe power generation amount of the thermal power unit, the power generation amount of the clean energy unit, the purchase amount of electricity from a superior power grid, the power consumption of methane manufacture, the power consumption of methanol manufacture, the power consumption of dimethyl ether manufacture and the power consumption of octane manufacture of a comprehensive energy service provider corresponding to the node i in the time t period; />The energy sharing quantity is the energy sharing quantity in the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are reached;
(c) Distribution network operators green certificate constraints:
in the method, in the process of the invention,for the green certificate usage amount of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration times are k,the green license sharing amount of t time period between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times are k, +.>Generating cost of clean energy unit for t period, < >>Is the benefit of the period t green syndrome.
Further, in the step (3), a calculation model of the carbon emission amount of the power distribution network including the comprehensive energy service provider is constructed, and the calculation model is represented as follows:
wherein I is i,t The carbon emission intensity at the node i of the power grid in the t period;the carbon emission intensity of the thermal power generating unit of the comprehensive energy service provider corresponding to the node i; />The carbon emission intensity of the upper power grid in the t period; />And->The carbon emission intensity of the power grid branch b and the power grid branch c in the t period respectively; />And->Active power of the power grid branch b and the power grid branch c in the time period t when the iteration times k are respectively; />The square current of the power grid branch c in the period t is the iteration time k; />And c, the carbon emission flow of the power grid branch b in the period t.
Further, the specific process of step (4) is as follows:
(401) The objective function of the electric-carbon-green evidence distributed scheduling model of the upper comprehensive energy service provider is rewritten into an augmentation form with penalty factors:
wherein:and->The distributed shared benefits of electricity, carbon and green evidence of the t period between the comprehensive energy service provider corresponding to the t period node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are respectively obtained;and->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node j and the comprehensive energy service provider corresponding to the node i is respectively; />Step length when the iteration number k is the step length; />And->The Lagrangian multiplier shared by electricity, carbon and green evidence of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration times are k respectively;and->The power, carbon and green evidence sharing Gaussian kernel function of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration times are k respectively>And->For the iteration times k-1, the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node jthe sharing amount of electricity, carbon and green evidence in the t period;
(402) Solving an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider, comprising the steps of expanding an objective function (14) and constraint conditions (2) - (4) to obtain electric sharing quantity among the comprehensive energy service providersCarbon sharing amount->And green syndrome sharing amount->The comprehensive energy service provider purchases electricity quantity from a superior power grid>Carbon emission->Dosage for treating syndrome of green colorGenerating capacity of thermal power generating unit in comprehensive energy service provider>Generating capacity of clean energy unit->Production of methane power consumptionProduction of methanol Power consumption->The power consumption for producing dimethyl ether>And manufacturing octane power consumption->And inputting the obtained parameters to the electric-carbon-green certificate schedule of the lower distribution network operatorsThe method comprises the steps of a model and a distribution network carbon emission amount calculation model containing comprehensive energy service providers;
(403) Solving an electricity-carbon-green evidence scheduling model of an operator of the lower-layer power distribution network, comprising an objective function (5) and constraint conditions (6) - (11), and obtaining excess carbon emission of a power grid nodeAnd the number of excess green syndromes->And obtaining the electric sharing unit price of the grid node by the dual variable of the formula (6)>The dual variables of equation (9) obtain the carbon sharing unit price of the grid nodeThe dual variables of formula (10) obtain green evidence sharing unit price of grid nodes>Inputting the obtained parameters into an electric-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider;
(404) Solving the distribution network carbon emission amount calculation models (12) - (13) containing the comprehensive energy service provider to obtain the carbon emission intensity I of the grid nodes i,t And carbon emissions from the grid branchesInputting the obtained parameters into an electric-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider and an electric-carbon-green certificate scheduling model of a lower power distribution network operator;
(405) Judging whether the following convergence conditions are met, if yes, stopping iteration, outputting a comprehensive energy service provider distributed scheduling strategy, otherwise, returning to the step (402), and continuing the iteration process;
in the method, in the process of the invention,and->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node j and the comprehensive energy service provider corresponding to the node i when the iteration number is k is respectively; />The carbon emission intensity at a power grid node i in a t period when the iteration number is k; Λ and Δ are the convergence thresholds of the original residual and the dual residual, respectively.
An IEEE33 node grid system is used as an embodiment, and a schematic diagram thereof is shown in fig. 2. In the electric-carbon-green evidence distributed scheduling model of the comprehensive energy service providers, 6 comprehensive energy service providers are respectively connected with nodes 6, 9, 15, 25, 29 and 33 of the power grid, the node 1 is connected with an upper power grid, the rest nodes are common load nodes, and the power demand is provided by a transformer substation. In the electricity-carbon-green evidence distributed scheduling model of a power distribution network operator, the reference voltage of a power grid is 12.66kV, and the power factor of a load node is set to be 0.85. In a distribution network carbon emission amount calculation model containing comprehensive energy service providers, the active electricity price is set to be between 96$/MWh and 156$/MWh, the active electricity price changes along with the time period, and the excess carbon emission cost is 60$/tCO2. The model was solved using an IPOPT solver using GAMS software.
To illustrate the advantages of the two-layer electricity-carbon-green evidence distributed scheduling model in terms of carbon emission and economic benefits, the excess carbon emission costs of the integrated energy service providers when participating and not participating in the distributed scheduling are compared, and the result is shown in table 1. Overall, the total excess carbon emission cost when participating in the distributed scheduling is reduced by 16.55% compared to not participating in the distributed electro-carbon-green evidence scheduling. I.e., distributed electro-carbon-green certification scheduling, can reduce carbon emissions costs.
TABLE 1 comparison of comprehensive energy service provider excess carbon emission costs with and without participation in distributed scheduling
The embodiments are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited by the embodiments, and any modification made on the basis of the technical scheme according to the technical idea of the present invention falls within the protection scope of the present invention.
Claims (1)
1. The comprehensive energy service business electricity-carbon-green certificate double-layer distributed scheduling method is characterized by comprising the following steps of:
(1) Constructing an electricity-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider;
(2) Constructing an electricity-carbon-green certificate distributed scheduling model of a lower-layer power distribution network operator;
(3) Constructing a distribution network carbon emission amount calculation model containing comprehensive energy service providers;
(4) The distributed scheduling models in the step (1) and the step (2) are solved in an iteration mode, and in each iteration process, the carbon emission amount calculation model of the power distribution network containing the comprehensive energy service provider is solved to obtain carbon emission intensity and flow, and the carbon emission intensity and the flow are used as the input quantity of iteration to obtain a distributed scheduling strategy of the comprehensive energy service provider;
in the step (1), the specific process of constructing the electric-carbon-green certificate distributed scheduling model of the upper comprehensive energy service provider is as follows:
(101) The method comprises the steps of constructing an objective function of an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider by taking the maximum sum of supply benefits of methane, methanol, dimethyl ether and octane of the comprehensive energy service provider, scheduling benefits of electricity, carbon and green evidence and energy supply benefits of electricity, gas, heat and cold as targets:
wherein t represents a time period; k is the iteration number of the double-layer model; i and j represent nodes where the comprehensive energy service provider is located; phi I Representing a set of nodes where comprehensive energy service providers are located;and->The unit price of methane, methanol, dimethyl ether and octane in the t period is respectively; />And->The supply amounts of methane, methanol, dimethyl ether and octane of the comprehensive energy service providers corresponding to the node i in the t period are respectively calculated; />And->The power, carbon and green evidence sharing benefits at the power grid node i at the time t period of the iteration times k-1 are respectively; />And->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j is respectively;and->The initial carbon emission quota and the green license quota coefficient of the comprehensive energy service provider corresponding to the node i are respectively obtained; />Andgenerating capacity of the thermal power unit and the clean energy unit of the comprehensive energy service provider corresponding to the node i in a t period;and->The comprehensive energy service providers corresponding to the node i in the t period respectively purchase electricity quantity, carbon emission quantity and green certificate usage quantity from the upper power grid; />And->The comprehensive energy service providers corresponding to the nodes i in the t period respectively sell electricity, gas, heat and cold energy to users; />And->The comprehensive energy service providers corresponding to the nodes i in the t period respectively supply electricity, gas, heat and cold energy to users;
(102) Constructing constraint conditions of an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider, wherein the constraint conditions comprise electric energy, carbon emission and green evidence constraint;
(a) Comprehensive energy service business electric energy constraint
In the method, in the process of the invention,and->The comprehensive energy service providers corresponding to the node i in the t period respectively produce power consumption of methane, methanol, dimethyl ether and octane through carbon dioxide and hydrogen;
(b) Comprehensive energy service provider carbon emission constraint
Wherein B represents a power grid branch, B i Representing a collection of grid branches connected to node i,for the carbon emission intensity at the grid node i of the t period when the iteration number is k-1, +.>For the carbon emission flow of the power grid branch b in the period t when the iteration number is k-1, mu D Is the maximum allowable coefficient of carbon emission, +.>The excess carbon emission at the node i of the power grid in the t period when the iteration number is k-1;
(c) Comprehensive energy service provider green certificate constraint
In the method, in the process of the invention,the number of excess green certificates at a power grid node i in a t period when the iteration number is k-1;
in the step (2), the specific process of constructing the electric-carbon-green certificate scheduling model of the lower-layer power distribution network operator is as follows:
(201) Constructing an objective function of an electric-carbon-green certificate scheduling model of a lower-layer power distribution network operator:
in the method, in the process of the invention,and->Penalty cost for excess carbon emissions and excess green evidence for the t period; />And->The excess carbon emission and the excess green evidence quantity at the power grid node i in the t period are respectively; />And->Respectively t-period power grid node iThe active and reactive power generation cost of the motor; />And->The active power generation capacity and the reactive power generation capacity of the generator at the node i of the power grid in the t period are respectively;
(202) Constructing constraint conditions of an electricity-carbon-green evidence scheduling model of a lower-layer distribution network operator, wherein the constraint conditions comprise electric energy, carbon emission and green evidence constraint;
(a) Distribution network operator electrical energy constraints:
wherein c represents a power grid branch;and->Respectively collecting power grid branches with a head end node and a tail end node being i;the electric sharing quantity is the electric sharing quantity of the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are reached; />The electric load quantity at the node i of the power grid in the t period; />And->Active power of the power grid branch b and the power grid branch c in the t period respectively; />Square current of the power grid branch c in the period t; r is R c And X c The resistance and reactance of branch c respectively; θ i Power factor at grid node i; />And->Reactive power of the power grid branch b and the power grid branch c in the t period respectively; s is S b Maximum allowable transmission power for grid branch b;
(b) Distribution network operator carbon emission constraints:
in the method, in the process of the invention,and->Generating capacity of thermal power unit, generating capacity of clean energy unit, purchasing power from upper power grid, power consumption of methane production and power consumption of methanol production of comprehensive energy service provider corresponding to t time period node i when iteration times are k respectivelyElectric quantity, electric quantity produced by dimethyl ether and electric quantity produced by octane; />The energy sharing quantity is the energy sharing quantity in the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are reached;
(c) Distribution network operators green certificate constraints:
in the method, in the process of the invention,for the green certificate usage amount of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration number is k,/>The green license sharing amount of t time period between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration times are k, +.>Generating cost of clean energy unit for t period, < >>The benefit of the green evidence at the period t;
in the step (3), a distribution network carbon emission amount calculation model containing comprehensive energy service providers is constructed, and the calculation model is expressed as follows:
wherein I is i,t The carbon emission intensity at the node i of the power grid in the t period; i i TPU The carbon emission intensity of the thermal power generating unit of the comprehensive energy service provider corresponding to the node i;the carbon emission intensity of the upper power grid in the t period; />And->The carbon emission intensity of the power grid branch b and the power grid branch c in the t period respectively; />And->Active power of the power grid branch b and the power grid branch c in the time period t when the iteration times k are respectively; />The square current of the power grid branch c in the period t is the iteration time k; />Carbon emission flow of the power grid branch b in the period t;
the specific process of the step (4) is as follows:
(401) The objective function of the electric-carbon-green evidence distributed scheduling model of the upper comprehensive energy service provider is rewritten into an augmentation form with penalty factors:
wherein:and->The distributed shared benefits of electricity, carbon and green evidence of the t period between the comprehensive energy service provider corresponding to the t period node i and the comprehensive energy service provider corresponding to the node j when the iteration times k are respectively obtained; />And->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node j and the comprehensive energy service provider corresponding to the node i is respectively; />Step length when the iteration number k is the step length; />And->The Lagrangian multiplier shared by electricity, carbon and green evidence of the comprehensive energy service provider corresponding to the node i in the t period of time when the iteration times are k respectively; />Andrespectively overlapThe generation number k is the Gaussian kernel function shared by electricity, carbon and green evidence of the comprehensive energy service provider corresponding to the node i in the t period>And->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node i and the comprehensive energy service provider corresponding to the node j when the iteration number k-1 is;
(402) Solving an electric-carbon-green evidence distributed scheduling model of an upper comprehensive energy service provider, comprising the steps of expanding an objective function (14) and constraint conditions (2) - (4) to obtain electric sharing quantity among the comprehensive energy service providersCarbon sharing amount->And green syndrome sharing amount->The comprehensive energy service provider purchases electricity quantity from a superior power grid>Carbon emission->Dosage for treating syndrome of green colorGenerating capacity of thermal power generating unit in comprehensive energy service provider>Generating capacity of clean energy unit->Production of methane power consumptionProduction of methanol Power consumption->The power consumption for producing dimethyl ether>And manufacturing octane power consumption->Inputting the obtained parameters into an electricity-carbon-green certificate scheduling model of a lower-layer power distribution network operator and a power distribution network carbon emission amount calculation model containing a comprehensive energy service provider;
(403) Solving an electricity-carbon-green evidence scheduling model of an operator of the lower-layer power distribution network, comprising an objective function (5) and constraint conditions (6) - (11), and obtaining excess carbon emission of a power grid nodeAnd the number of excess green syndromes->And obtaining the electric sharing unit price of the grid node by the dual variable of the formula (6)>The dual variables of equation (9) obtain the carbon sharing unit price of the grid nodeThe dual variables of formula (10) obtain green evidence sharing unit price of grid nodes>Inputting the obtained parameters into an electric-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider;
(404) Solving the distribution network carbon emission amount calculation models (12) - (13) containing the comprehensive energy service provider to obtain the carbon emission intensity I of the grid nodes i,t And carbon emissions from the grid branchesInputting the obtained parameters into an electric-carbon-green certificate distributed scheduling model of an upper comprehensive energy service provider and an electric-carbon-green certificate scheduling model of a lower power distribution network operator;
(405) Judging whether the following convergence conditions are met, if yes, stopping iteration, outputting a comprehensive energy service provider distributed scheduling strategy, otherwise, returning to the step (402), and continuing the iteration process;
wherein:and->The sharing quantity of electricity, carbon and green certificates in the period t between the comprehensive energy service provider corresponding to the node j and the comprehensive energy service provider corresponding to the node i when the iteration number is k is respectively; />The carbon emission intensity at a power grid node i in a t period when the iteration number is k; Λ and Δ are the convergence thresholds of the original residual and the dual residual, respectively.
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