CN114595868A - Source network and storage collaborative planning method and system for comprehensive energy system - Google Patents

Source network and storage collaborative planning method and system for comprehensive energy system Download PDF

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CN114595868A
CN114595868A CN202210100110.XA CN202210100110A CN114595868A CN 114595868 A CN114595868 A CN 114595868A CN 202210100110 A CN202210100110 A CN 202210100110A CN 114595868 A CN114595868 A CN 114595868A
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energy
gas
objective
energy system
storage
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张宁
吴潇雨
卢静
张丝钰
汤芳
王骏
张铭泽
郭明星
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State Grid Energy Research Institute Co Ltd
Economic and Technological Research Institute of State Grid Shanghai Electric Power Co Ltd
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State Grid Energy Research Institute Co Ltd
Economic and Technological Research Institute of State Grid Shanghai Electric Power Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
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    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract

The invention provides a source network and storage collaborative planning method and a source network and storage collaborative planning system for an integrated energy system, wherein the method comprises the steps of obtaining parameters of various energy sources for constructing the integrated energy system; substituting the parameters of the various types of energy into a pre-constructed comprehensive energy system planning model, and obtaining the planning quantity of the energy when the multi-objective function is minimum through optimization solution; planning the integrated energy system from the planned amount of energy; the comprehensive energy system planning model is constructed by a multi-objective function which is constructed by taking the minimum sum of an economic objective, an environmental objective, an energy efficiency objective and an electrification rate objective of the comprehensive energy system as an objective, and constraint conditions set for the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective. The invention provides a multi-objective function, which not only realizes the electrification level maximization of a comprehensive energy system, but also realizes the energy efficiency level maximization, the carbon emission minimization and the cost minimization.

Description

Source network and storage collaborative planning method and system for comprehensive energy system
Technical Field
The invention relates to the field of power system planning, in particular to a source network and storage collaborative planning method and system for an integrated energy system.
Background
Integrated energy systems represent the direction of evolution of future energy systems. By realizing collaborative planning on various energy sources such as electricity, heat, cold, gas and hydrogen in the region and various links such as source, network, load and storage, the coupling complementary optimization among multiple energy varieties and multiple system links is realized, and the purposes of promoting the consumption and utilization of new energy, reducing the carbon emission of the system, improving the system efficiency, reducing the comprehensive energy cost of users and the like are achieved. Because the comprehensive energy system relates to a plurality of energy categories, diversified technical combinations and diversified target guidance, the planning problem is more complicated than that of the traditional single energy system.
In the integrated energy system, electricity will gradually become a core energy variety. In a regional integrated energy system, energy sources such as heat, cold and hydrogen are locally produced by taking electric power or natural gas as input. At present, natural gas is used as fossil energy, and the development space of the natural gas is greatly limited. At the moment, multi-energy conversion and comprehensive utilization centered on electricity should be pursued more, and the conversion of electric energy into energy varieties such as heating, cooling and hydrogen is realized through the advanced technologies such as heat pumps and electric hydrogen production, so that an integrated energy system centered on electricity is created. The development of high electrification, all-electric gasification has been oriented currently, but the electrification rate achieved by the prior art is still low.
Disclosure of Invention
In order to solve the problem of low electrification rate in the prior art, the invention provides a source network and storage collaborative planning method for a comprehensive energy system, which comprises the following steps:
acquiring parameters of various energy sources for constructing a comprehensive energy system;
substituting the parameters of the various energy sources into a pre-constructed comprehensive energy system planning model, and obtaining the planning quantity of the various energy sources when the multi-objective function is minimum through optimization solution;
planning the comprehensive energy system according to the planned amount of the various types of energy;
the comprehensive energy system planning model is constructed by a multi-objective function constructed by taking the minimum sum of the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective of the comprehensive energy system as an objective and constraint conditions set for the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective.
Preferably, the construction of the integrated energy system planning model includes:
constructing a multi-target function according to the minimum value of the sum of the economic target, the environmental target, the energy efficiency target and the electrification rate target;
taking the respective constraint conditions of the economic target, the environmental target, the energy efficiency target and the electrification rate target as constraint conditions of the multi-target function;
and constructing the comprehensive energy system planning model according to the multi-objective function and the constraint conditions of the multi-objective function.
Preferably, the multi-objective function is represented by the following formula:
min F＝min(αECFEC+αENFEN+αEFFEF+αELFEL)；
in the formula, alphaEC、αEN、αEFAnd alphaELRespectively an economic objective, an environmental objective, an energy efficiency objective, and electricityWeight coefficient of vaporization Rate target, FECTotal cost of operation for the planning of an integrated energy system, FENOverall carbon emission level for integrated energy systems, FEFIs the overall energy efficiency level of the integrated energy system, FELIs the electrification level of the comprehensive energy system.
Preferably, the total planned operating cost F of the integrated energy systemECCalculated as follows:
Figure BDA0003492054810000021
in the formula, FECThe total planned operating cost of the integrated energy system; omegaEL、ΩGL、ΩHL、ΩGG、ΩCHP、ΩCCHP、ΩGB、ΩEH、ΩHP、ΩAC、ΩEC、ΩWP、ΩPV、ΩES、ΩHS、ΩCSAnd ΩGSThe system comprises a planning candidate device set which is respectively a power grid line, a gas network pipeline, a heat supply network pipeline, a gas generator set, gas cogeneration, gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank;
Figure BDA0003492054810000022
decision variables for determining whether the power grid line, the gas network pipeline and the heat network pipeline between the node i and the node j are constructed are integer variables representing the number of planned and constructed lines/pipelines;
Figure BDA0003492054810000031
Figure BDA0003492054810000032
and
Figure BDA0003492054810000033
respectively as a gas generator set, gas cogeneration and gas trigenerationThe decision variables for determining whether the gas boiler, the electric boiler, the heat pump, the absorption refrigerator, the compression refrigerator, the wind power, the photovoltaic power generation, the electric energy storage, the heat storage, the cold storage and the gas storage tank are constructed at the node i are integer variables representing the number of equipment planned to be constructed;
Figure BDA0003492054810000034
and
Figure BDA0003492054810000035
the construction costs of a power grid line, an air grid pipeline and a heat supply network pipeline between the node i and the node j are respectively;
Figure BDA0003492054810000036
Figure BDA0003492054810000037
and
Figure BDA0003492054810000038
the construction costs of a gas generator set, a gas cogeneration unit, a gas triple co-generation unit, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank are respectively obtained;
Figure BDA0003492054810000039
Figure BDA00034920548100000310
and
Figure BDA00034920548100000311
respectively the electricity purchase unit price, the gas purchase unit price and the heat purchase unit price of the region from the outside at the time t; omegaesta、ΩgstaAnd ΩhstaRespectively a transformer substation set, a gas distribution station set and a heat distribution station set which are connected with the outside and the area;
Figure BDA00034920548100000312
and
Figure BDA00034920548100000313
respectively purchasing energy from an ith transformer substation, an ith gas distribution station and an ith heat distribution station at the t moment;
Figure BDA00034920548100000314
the unit incentive cost of the demand response at the t moment; omegadrpA set of power nodes with demand response potential; pi drp,tElectric power is cut for the t-th time demand response.
Preferably, the overall carbon emission level F of the integrated energy systemENCalculated as follows:
Figure BDA00034920548100000315
in the formula, FENIs the overall carbon emission level of the integrated energy system;
Figure BDA00034920548100000316
and
Figure BDA00034920548100000317
carbon dioxide emission coefficients of a gas boiler, a gas generator set, gas cogeneration and gas triple co-generation are respectively obtained;
Figure BDA00034920548100000318
and
Figure BDA00034920548100000319
the power output of the gas boiler, the gas generator set, the gas cogeneration and the gas triple co-generation at the t moment are respectively provided.
Preferably, the overall energy efficiency level F of the integrated energy systemEFCalculated as follows:
Figure BDA0003492054810000041
in the formula, FEFFor integration of an integrated energy systemPhysical performance level;
Figure BDA0003492054810000042
and
Figure BDA0003492054810000043
the energy requirements of the electricity, heat, cold and gas terminals of the ith node at the t moment are respectively.
Preferably, the electrification level of the integrated energy system is according to FELThe following formula is calculated:
Figure BDA0003492054810000044
in the formula, FELIs the electrification level of the comprehensive energy system.
Preferably, the constraint conditions of the multi-objective function include: the method comprises the following steps of electric power balance constraint, thermal power balance constraint, cold power balance constraint, gas power balance constraint, various equipment capacity constraint, new energy source unit output constraint, various equipment multi-energy conversion efficiency constraint, various equipment construction scale constraint, line/pipeline transmission capacity constraint, line/pipeline construction return upper limit constraint, transformer substation/gas distribution station/heat exchange station capacity constraint, demand response time interval constraint, demand response accumulated electric quantity constraint, energy storage charging and discharging energy balance constraint, energy storage charging and discharging power upper limit constraint, electric energy storage SOC constraint and energy storage construction scale constraint.
Preferably, the planned amount of energy comprises: the device comprises a gas generator set, a gas cogeneration unit, a gas triple co-generation unit, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank.
In another aspect, the present invention further provides a system for collaborative planning of source-grid and storage of an integrated energy system, including:
the acquisition module is used for acquiring parameters of various energy sources for constructing the comprehensive energy system;
the calculation module is used for substituting the parameters of the various types of energy into a pre-constructed comprehensive energy system planning model, and obtaining the planning quantity of the energy at the minimum value of the multi-objective function through optimization solution;
the comprehensive energy system planning model is constructed by a multi-objective function constructed by taking the minimum sum of the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective of the comprehensive energy system as an objective and constraint conditions set for the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective.
Preferably, the system further comprises a construction module, which is used for constructing a multi-objective function according to the minimum value of the sum of the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective; taking the respective constraint conditions of the economic target, the environmental target, the energy efficiency target and the electrification rate target as constraint conditions of the multi-target function; and constructing the comprehensive energy system planning model according to the multi-objective function and the constraint conditions of the multi-objective function.
In yet another aspect, the present application further provides a computing device comprising: one or more processors;
a processor for executing one or more programs;
when the one or more programs are executed by the one or more processors, the method for collaborative planning of the source grid and the storage of the integrated energy system is realized.
In still another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed, implements a method for collaborative planning of energy grid load and storage of an integrated energy system as described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a source network and storage collaborative planning method of an integrated energy system, which comprises the steps of obtaining parameters of various energy sources for constructing the integrated energy system; substituting the parameters of the various energy sources into a pre-constructed comprehensive energy system planning model, and obtaining the planning quantity of the various energy sources at the minimum time of the multi-objective function through optimization solution; planning the comprehensive energy system source according to the planned amount of the various types of energy; the comprehensive energy system planning model is constructed by a multi-objective function constructed by taking the minimum sum of the economic target, the environmental target, the energy efficiency target and the electrification rate target of the comprehensive energy system as a target and the constraint conditions set for the economic target, the environmental target, the energy efficiency target and the electrification rate target, so that the multi-objective function is provided, the electrification level maximization of the comprehensive energy system is realized, and the energy efficiency level maximization, the carbon emission minimization and the cost minimization are also realized.
Drawings
Fig. 1 is a flow chart of a source grid storage collaborative planning method of an integrated energy system according to the present invention.
Detailed Description
The invention brings the electrification rate into the objective function in a maximized way, constructs a comprehensive energy system planning model and supports the comprehensive energy system planning taking electricity as the center. By applying the model, the energy conversion junction value of electric energy in the comprehensive energy system can be fully excavated, other energy conversion technologies such as a heat pump and the like are brought into a planning scheme as far as possible, the application proportion of the electric energy in a regional comprehensive energy system is improved, the improvement of the electrification rate is promoted, and the power-assisted energy structure is optimized and transformed. Meanwhile, cost minimization, carbon emission minimization, the highest overall energy efficiency of the system and the like are synchronously considered in the objective function, multi-objective overall optimization is achieved, and multiple dimensions such as economy, environment and efficiency are guaranteed to be taken into consideration in the planning scheme.
Example 1:
the invention provides a source network and storage collaborative planning method of a comprehensive energy system, as shown in figure 1, comprising the following steps:
step 1: acquiring parameters of various energy sources for constructing a comprehensive energy system;
step 2: substituting the parameters of the various energy sources into a pre-constructed comprehensive energy system planning model, and obtaining the planning quantity of the various energy sources when the multi-objective function is minimum through optimization solution;
and step 3: planning the comprehensive energy system according to the planned amount of the various types of energy;
the comprehensive energy system planning model is constructed by a multi-objective function constructed by taking the minimum sum of the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective of the comprehensive energy system as an objective and constraint conditions set for the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective.
Before step 1, the method further comprises the following steps:
the integrated energy system planning model is a mathematical optimization model and comprises an objective function and constraint conditions. In the model, various energy varieties such as electricity, heat, cold and gas and a plurality of system links such as source, network, load and storage are considered, and the overall optimization of the system is realized.
Firstly, constructing an objective function of the comprehensive energy system planning model.
The planning targets of the comprehensive energy system comprise an economic target, an environmental target, an energy efficiency target and an electrification rate target, and the targets can be selected or the weights can be set according to actual conditions.
(1) An economic objective.
The overall investment, operation and maintenance cost of the economic target, namely the comprehensive energy system, is minimized, and the overall investment, operation and maintenance cost comprises the construction cost and the system operation cost of various energy equipment to be planned and energy networks.
Figure BDA0003492054810000061
In the formula, FECThe total planned operating cost of the integrated energy system; omegaEL、ΩGL、ΩHL、ΩGG、ΩCHP、ΩCCHP、ΩGB、ΩEH、ΩHP、ΩAC、ΩEC、ΩWP、ΩPV、ΩES、ΩHS、ΩCSAnd ΩGSRespectively comprises a power grid line, a gas grid pipeline, a heat supply network pipeline, a gas generator set, gas cogeneration, gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage,A planning candidate equipment set of a heat storage, cold storage and gas storage tank;
Figure BDA0003492054810000074
decision variables for determining whether the power grid line, the gas network pipeline and the heat network pipeline between the node i and the node j are constructed are integer variables representing the number of planned and constructed lines/pipelines;
Figure BDA0003492054810000075
Figure BDA0003492054810000076
and
Figure BDA0003492054810000077
decision variables for establishing a gas generator set, a gas cogeneration, a gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold accumulation and a gas storage tank at a node i are integer variables representing the number of planned and constructed equipment;
Figure BDA0003492054810000078
and
Figure BDA0003492054810000079
the construction costs of a power grid line, an air grid pipeline and a heat supply network pipeline between the node i and the node j are respectively;
Figure BDA00034920548100000710
Figure BDA00034920548100000711
and
Figure BDA00034920548100000712
the construction costs of a gas generator set, a gas cogeneration unit, a gas triple co-generation unit, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank are respectively obtained;
Figure BDA00034920548100000713
and
Figure BDA00034920548100000714
respectively the unit price of electricity purchasing, the unit price of gas purchasing and the unit price of heat purchasing from the outside in the area at the time t; omegaesta、ΩgstaAnd ΩhstaRespectively a transformer substation set, a gas distribution station set and a heat distribution station set which are connected with the outside and the area;
Figure BDA00034920548100000715
and
Figure BDA00034920548100000716
respectively purchasing energy from an ith transformer substation, an ith gas distribution station and an ith heat distribution station at the t moment;
Figure BDA00034920548100000717
the unit incentive cost of the demand response at the t moment; omegadrpA set of power nodes with demand response potential; pi drp,tElectric power is cut for the t-th time demand response.
(2) An environmental target.
The environmental objective, i.e. the overall carbon emissions of the system, is minimized.
Figure BDA0003492054810000071
In the formula, FENIs the overall carbon emission level of the integrated energy system;
Figure BDA0003492054810000072
and
Figure BDA0003492054810000073
carbon dioxide emission coefficients of a gas boiler, a gas generator set, gas cogeneration and gas triple co-generation are respectively obtained;
Figure BDA0003492054810000083
and
Figure BDA0003492054810000084
the power output of the gas boiler, the gas generator set, the gas cogeneration and the gas triple co-generation at the t moment are respectively provided.
(3) An energy efficiency objective.
And the energy efficiency target, namely the overall energy efficiency level of the system is maximized.
Figure BDA0003492054810000081
In the formula, FEFThe overall energy efficiency level of the comprehensive energy system;
Figure BDA0003492054810000085
and
Figure BDA0003492054810000086
respectively the energy requirements of the electricity, heat, cold and gas terminals of the ith node at the t moment.
(4) An electrification rate target.
The electrification rate target, i.e. specific gravity of electric energy, is maximized.
Figure BDA0003492054810000082
In the formula, FELIs the electrification level of the comprehensive energy system.
(5) And (4) overall target.
By setting the weight of each target, a certain type of target can be selected or multi-target planning can be realized with emphasis.
min F＝min(αECFEC+αENFEN+αEFFEF+αELFEL)
In the formula, alphaEC、αEN、αEFAnd alphaELRespectively an economic target, an environmental target, an energy efficiency target and an electrification rateThe weight coefficient of the object.
And secondly, constructing constraint conditions of the comprehensive energy system planning model.
The constraint conditions of the model comprise dozens of large constraint formulas such as system balance class constraint, energy production conversion element related constraint conditions, energy network related constraint conditions, demand response related constraint conditions, energy storage related constraint conditions and the like, and the complete depiction of the comprehensive energy system is realized.
(1) The system balances the class constraints.
Because the production simulation is embedded in the planning model, the system balance constraint is the power balance constraint of electricity, heat, cold and gas of each node at each moment, the full-time, full-space and full-variety energy supply and demand balance of the system is described, and the planning scheme is ensured to meet various energy requirements of users.
And (4) electric power balance constraint.
Figure BDA0003492054810000091
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000093
electric power flowing from the node j to the node i for the t-th time;
Figure BDA0003492054810000094
Figure BDA0003492054810000095
and
Figure BDA0003492054810000096
respectively outputting electric power at a node i at the t moment for photovoltaic power generation, wind power generation, gas cogeneration, gas triple co-generation and power storage;
Figure BDA0003492054810000097
electric power flowing from node i to node k for time t;
Figure BDA0003492054810000098
and
Figure BDA0003492054810000099
the power demands of the heat pump, the electric boiler and the compression refrigerator at the node i at the t moment are respectively.
② constraint of thermal power balance.
Figure BDA0003492054810000092
In the formula (I), the compound is shown in the specification,
Figure BDA00034920548100000910
thermal power flowing from node j to node i at time t;
Figure BDA00034920548100000911
Figure BDA00034920548100000912
and
Figure BDA00034920548100000913
respectively outputting thermal power of a heat pump, an electric boiler, a gas boiler, gas cogeneration, gas triple co-generation and heat storage at a node i at the t moment;
Figure BDA00034920548100000914
thermal power flowing from node i to node k at time t;
Figure BDA00034920548100000915
to absorb the thermal power demand of the refrigerator at node i at time t.
And cold power balance constraint.
Figure BDA00034920548100000916
In the formula (I), the compound is shown in the specification,
Figure BDA00034920548100000917
and
Figure BDA00034920548100000918
the cold power output of the compression refrigerating machine, the absorption refrigerating machine, the heat pump, the gas triple co-generation and the cold accumulation at the node i at the t moment are respectively provided.
Fourthly, the balance and the restraint of the qigong.
Figure BDA0003492054810000101
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000104
the natural gas flow rate flowing from the node j to the node i at the t moment;
Figure BDA0003492054810000105
releasing the flow of the natural gas at the node i for the gas storage tank at the t moment;
Figure BDA0003492054810000106
the natural gas flow rate flowing out from the node i to the node k at the t moment;
Figure BDA0003492054810000107
and
Figure BDA0003492054810000108
the natural gas demand of the gas boiler, the gas engine, the gas cogeneration and the gas triple co-generation at the node i at the t moment is respectively provided.
(2) Energy production conversion element related constraints.
Various equipment capacity constraints.
Figure BDA0003492054810000102
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000109
and
Figure BDA00034920548100001010
respectively the existing installed capacities of a gas power generation unit, a gas cogeneration unit, a gas triple co-generation unit, a heat pump, a gas boiler, an electric boiler, a compression refrigerator and an absorption refrigerator at a node i;
Figure BDA00034920548100001011
Figure BDA00034920548100001012
and
Figure BDA00034920548100001013
the installed capacities of single equipment newly planned and constructed at a node i for gas power generation, gas cogeneration, gas triple co-generation, a heat pump, a gas boiler, an electric boiler, a compression refrigerator and an absorption refrigerator respectively.
And secondly, the new energy unit is subjected to force constraint.
Figure BDA0003492054810000103
In the formula, Pi PVOAnd Pi WPOThe existing installed capacities of the photovoltaic and wind generating sets at the node i are respectively set; pi PVmaxAnd Pi WPmaxRespectively newly planned and constructed single equipment installed capacity of the photovoltaic and wind generating set at the node i;
Figure BDA0003492054810000112
and
Figure BDA0003492054810000113
the adjustable output coefficients of the photovoltaic and wind power generator set at the moment t are respectively used for reflecting the time sequence fluctuation of the photovoltaic and wind power generator set.
And the multi-energy conversion efficiency of various devices is restricted.
Figure BDA0003492054810000111
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000114
gas-to-electricity efficiency for gas power generation;
Figure BDA0003492054810000115
respectively gas-to-electricity and gas-to-heat efficiency of gas cogeneration,
Figure BDA0003492054810000116
gas-to-electricity, gas-to-heat and gas-to-cold efficiencies of gas triple co-generation respectively;
Figure BDA0003492054810000117
the gas-to-heat efficiency of the gas boiler;
Figure BDA0003492054810000118
the electric conversion efficiency of the electric boiler;
Figure BDA0003492054810000119
the electric-to-heat efficiency and the electric-to-cold efficiency of the heat pump are respectively;
Figure BDA00034920548100001110
the heat-to-cold efficiency of the absorption refrigerator is achieved;
Figure BDA00034920548100001111
the electric transfer cooling efficiency of the compression refrigerator.
Fourthly, construction scale constraint of various equipment.
Figure BDA0003492054810000121
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000124
and
Figure BDA0003492054810000125
the upper limit of the number of the construction units of the node i is respectively gas power generation, gas cogeneration, gas triple co-generation, a heat pump, a gas boiler, an electric boiler, a compression refrigerator, an absorption refrigerator, a wind turbine generator and a photovoltaic generator.
(3) Energy network related constraints.
Line/pipe transmission capacity constraints.
Figure BDA0003492054810000122
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000126
the original power grid line capacity, the original gas grid pipeline capacity and the original heat supply network pipeline capacity from the node i to the node j are respectively set;
Figure BDA0003492054810000127
and the capacity of a single-loop/newly-built power grid line, the capacity of a gas network pipeline and the capacity of a heat network pipeline from the node i to the node j are respectively set.
And the upper limit of the number of constructed loops of the lines/pipelines is restricted.
Figure BDA0003492054810000123
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000128
the upper limit of the number of loops/pieces of newly-built power grid lines, air grid pipelines and heat supply network pipelines from the node i to the node j is respectively set.
Capacity constraint of transformer substation/gas distribution station/heat exchange station.
Figure BDA0003492054810000131
In the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000133
and respectively accessing the capacities of a transformer substation, a gas distribution station and a heat exchange station of the external energy system for the node i.
(4) Demand response dependent constraints.
Demand response capacity constraints:
Figure BDA0003492054810000134
in the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000135
and accessing the demand response upper limit of the load at the time t for the node i.
Requirement response time period constraint:
Figure BDA0003492054810000136
in the formula, omegaDR,iThe demand for node i to access the load responds to the responsable period.
Thirdly, constraint of accumulated electric quantity of demand response:
Figure BDA0003492054810000132
in the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000137
and accumulating the upper limit of response electric quantity for the demand response of the node i access load.
(5) Energy storage related constraint:
energy storage charge and discharge energy balance constraint:
Figure BDA0003492054810000141
in the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000142
discharge power and charging power for the electrical energy storage, respectively;
Figure BDA0003492054810000143
accumulating the accumulated electric quantity of the electric energy at the time t;
Figure BDA0003492054810000144
charge-discharge efficiency for electrical energy storage;
Figure BDA0003492054810000145
an energy capacity to store energy for electricity;
Figure BDA0003492054810000146
respectively the output power and the input power of the heat storage;
Figure BDA0003492054810000147
accumulating the accumulated heat at the time t;
Figure BDA0003492054810000148
the heat charging and discharging efficiency is the heat storage;
Figure BDA0003492054810000149
energy capacity for thermal storage;
Figure BDA00034920548100001410
Figure BDA00034920548100001411
respectively the output power and the input power of the cold accumulation;
Figure BDA00034920548100001412
accumulating the accumulated cold quantity at the moment t;
Figure BDA00034920548100001413
the charging and discharging efficiency is the cold accumulation;
Figure BDA00034920548100001414
an energy capacity for cold storage;
Figure BDA00034920548100001415
the output power and the input power of the gas storage tank are respectively;
Figure BDA00034920548100001416
the accumulated air quantity of the air storage tank at the moment t;
Figure BDA00034920548100001417
the charging and discharging efficiency of the gas storage tank is obtained;
Figure BDA00034920548100001418
is the energy capacity of the gas storage tank.
And the energy storage charging and discharging power upper limit constraint:
Figure BDA0003492054810000151
in the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000154
and the capacities of the single equipment which is planned and constructed at the node i of the electric energy storage tank, the heat storage tank, the cold storage tank and the air storage tank are respectively set.
Thirdly, electric energy storage SOC constraint:
Figure BDA0003492054810000152
in the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000155
the state of charge of the electrical energy storage of the node i at the t moment;
Figure BDA0003492054810000156
and
Figure BDA0003492054810000157
respectively storing energy for t-th time node iUpper and lower limits of state of charge.
Energy storage construction scale constraint:
Figure BDA0003492054810000153
in the formula (I), the compound is shown in the specification,
Figure BDA0003492054810000158
and planning and constructing upper limits of the number of the stations at the node i for the electric energy storage, the heat storage, the cold storage and the gas storage tank respectively.
The step 1 of obtaining parameters of various energy sources for constructing the comprehensive energy system specifically comprises the following steps:
the system comprises a planning candidate equipment set of a power grid line, a gas network pipeline, a heat supply network pipeline, a gas generator set, a gas cogeneration, a gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank of the comprehensive energy system, the number of equipment to be planned and constructed, construction cost, the upper limit of the number of planned and constructed equipment, the capacity of single equipment, the charge state of energy storage, the upper limit and the lower limit of the charge state of the electric energy storage and the like.
Substituting the parameters of the various energy sources into a pre-constructed comprehensive energy system planning model in the step 2, and obtaining the planning quantity of the various energy sources when the multi-objective function is minimum through optimization solution, wherein the method specifically comprises the following steps:
and substituting the comprehensive energy system parameters into a pre-constructed comprehensive energy system planning model to obtain the planning quantity of various energy sources when the multi-target function of the comprehensive energy system is the minimum value.
And thirdly, solving a comprehensive energy planning mathematical optimization model.
Based on objective functions and constraint conditions of the comprehensive energy planning model, programming is carried out in a GAMS and other mathematical modeling environments, and a group of solutions which meet all constraint conditions and enable the objective function values to be optimal are sought through computer optimization calculation to serve as a planning scheme of the comprehensive energy system.
And step 3: and planning the comprehensive energy system according to the planned amount of the various types of energy.
Example 2:
based on the same invention concept, the invention also provides a source network and storage collaborative planning system of the comprehensive energy system, which comprises the following steps:
the acquisition module is used for acquiring parameters of various energy sources for constructing the comprehensive energy system;
the calculation module is used for substituting the parameters of the various types of energy into a pre-constructed comprehensive energy system planning model to obtain an overall target value of the comprehensive energy system;
the planning module is used for planning the comprehensive energy system according to the various energy planning quantities;
the comprehensive energy system planning model is constructed by a multi-objective function constructed by taking the minimum sum of the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective of the comprehensive energy system as an objective and constraint conditions set for the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective.
The building module is used for building a multi-target function according to the minimum value of the sum of the economic target, the environmental target, the energy efficiency target and the electrification rate target; taking the respective constraint conditions of the economic target, the environmental target, the energy efficiency target and the electrification rate target as constraint conditions of the multi-target function; and constructing the comprehensive energy system planning model according to the multi-objective function and the constraint conditions of the multi-objective function.
The building module specifically comprises:
the multi-objective function is shown as follows:
min F＝min(αECFEC+αENFEN+αEFFEF+αELFEL)；
in the formula, alphaEC、αEN、αEFAnd alphaELThe weight coefficients of the economic target, the environmental target, the energy efficiency target and the electrification rate target are respectively FECTotal cost of operation for the planning of an integrated energy system, FENOverall carbon emission level for integrated energy systems, FEFIs the overall energy efficiency level of the integrated energy system, FELIs the electrification level of the comprehensive energy system.
Preferably, the total planned operating cost F of the integrated energy systemECCalculated as follows:
Figure BDA0003492054810000171
in the formula, FECThe total planned operating cost of the integrated energy system; omegaEL、ΩGL、ΩHL、ΩGG、ΩCHP、ΩCCHP、ΩGB、ΩEH、ΩHP、ΩAC、ΩEC、ΩWP、ΩPV、ΩES、ΩHS、ΩCSAnd ΩGSThe system comprises a planning candidate device set which is respectively a power grid line, a gas network pipeline, a heat supply network pipeline, a gas generator set, gas cogeneration, gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank;
Figure BDA0003492054810000172
decision variables for determining whether the power grid line, the gas network pipeline and the heat network pipeline between the node i and the node j are constructed are integer variables representing the number of planned and constructed lines/pipelines;
Figure BDA0003492054810000173
Figure BDA0003492054810000174
and
Figure BDA0003492054810000175
respectively comprises a gas generator set, gas cogeneration, gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation and electricity storageThe decision variables of whether the energy storage tank, the heat storage tank, the cold storage tank and the air storage tank are built at the node i are integer variables representing the number of equipment planned to be built;
Figure BDA0003492054810000176
and
Figure BDA0003492054810000177
the construction costs of a power grid line, an air grid pipeline and a heat supply network pipeline between the node i and the node j are respectively;
Figure BDA0003492054810000178
Figure BDA0003492054810000179
and
Figure BDA00034920548100001710
the construction costs of a gas generator set, a gas cogeneration unit, a gas triple co-generation unit, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank are respectively obtained;
Figure BDA0003492054810000184
Figure BDA0003492054810000185
and
Figure BDA0003492054810000186
respectively the unit price of electricity purchasing, the unit price of gas purchasing and the unit price of heat purchasing from the outside in the area at the time t; omegaesta、ΩgstaAnd ΩhstaRespectively a transformer substation set, a gas distribution station set and a heat distribution station set which are connected with the outside and the area;
Figure BDA0003492054810000187
and
Figure BDA0003492054810000188
respectively at the t moment from the ith transformer substation and the ith gas distributionThe station and the ith heat distribution station;
Figure BDA0003492054810000189
the unit incentive cost of the demand response at the t moment; omegadrpA set of power nodes with demand response potential; pi drp,tElectric power is cut for the t-th time demand response.
Preferably, the overall carbon emission level F of the integrated energy systemENCalculated as follows:
Figure BDA0003492054810000181
in the formula, FENIs the overall carbon emission level of the integrated energy system;
Figure BDA00034920548100001810
and
Figure BDA00034920548100001811
carbon dioxide emission coefficients of a gas boiler, a gas generator set, gas cogeneration and gas triple co-generation are respectively obtained;
Figure BDA00034920548100001812
and
Figure BDA00034920548100001813
the power output of the gas boiler, the gas generator set, the gas cogeneration and the gas triple co-generation at the t moment are respectively provided.
Preferably, the overall energy efficiency level F of the integrated energy systemEFCalculated as follows:
Figure BDA0003492054810000182
in the formula, FEFThe overall energy efficiency level of the comprehensive energy system;
Figure BDA00034920548100001814
and
Figure BDA00034920548100001815
the energy requirements of the electricity, heat, cold and gas terminals of the ith node at the t moment are respectively.
Preferably, the electrification level of the integrated energy system is according to FELThe following formula is calculated:
Figure BDA0003492054810000183
in the formula, FELIs the electrification level of the comprehensive energy system.
Preferably, the constraint conditions of the multi-objective function include: the method comprises the following steps of electric power balance constraint, thermal power balance constraint, cold power balance constraint, gas power balance constraint, various equipment capacity constraint, new energy source unit output constraint, various equipment multi-energy conversion efficiency constraint, various equipment construction scale constraint, line/pipeline transmission capacity constraint, line/pipeline construction return upper limit constraint, transformer substation/gas distribution station/heat exchange station capacity constraint, demand response time interval constraint, demand response accumulated electric quantity constraint, energy storage charging and discharging energy balance constraint, energy storage charging and discharging power upper limit constraint, electric energy storage SOC constraint and energy storage construction scale constraint.
For convenience of description, each part of the above apparatus is separately described as each module or unit by dividing the function. Of course, the functionality of the various modules or units may be implemented in the same one or more pieces of software or hardware when implementing the present application.
Based on the same inventive concept, in yet another embodiment, a computing device is provided that includes a processor and a memory for storing a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc., which is a computing core and a control core of the terminal, and is specifically adapted to load and execute one or more instructions in a computer storage medium to implement a corresponding method flow or a corresponding function; the processor provided by the embodiment of the invention can be used for executing the steps of the source network and storage collaborative planning method of the comprehensive energy system.
Based on the same inventive concept, in yet another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a Memory device in a computer device and is used for storing programs and data. It is understood that the computer readable storage medium herein can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor may load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the method for collaborative planning of source-grid and storage of an integrated energy system in the foregoing embodiments.
It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (13)

1. A source network and storage collaborative planning method of an integrated energy system is characterized by comprising the following steps:
acquiring parameters of various energy sources for constructing a comprehensive energy system;
substituting the parameters of the various energy sources into a pre-constructed comprehensive energy system planning model, and obtaining the planning quantity of the various energy sources when the multi-objective function is minimum through optimization solution;
planning the comprehensive energy system according to the planned amount of the various types of energy;
the comprehensive energy system planning model is constructed by a multi-objective function constructed by taking the minimum sum of the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective of the comprehensive energy system as an objective and constraint conditions set for the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective.
2. The method of claim 1, wherein the constructing of the integrated energy system planning model comprises:
constructing a multi-target function according to the minimum value of the sum of the economic target, the environmental target, the energy efficiency target and the electrification rate target;
taking the respective constraint conditions of the economic target, the environmental target, the energy efficiency target and the electrification rate target as constraint conditions of the multi-target function;
and constructing the comprehensive energy system planning model according to the multi-objective function and the constraint conditions of the multi-objective function.
3. The method of claim 2, wherein the multi-objective function is represented by the following equation:
minF＝min(αECFEC+αENFEN+αEFFEF+αELFEL)；
in the formula, alphaEC、αEN、αEFAnd alphaELThe weight coefficients of the economic target, the environmental target, the energy efficiency target and the electrification rate target are respectively FECTotal cost of operation for the planning of an integrated energy system, FENOverall carbon emission level for integrated energy systems, FEFIs the overall energy efficiency level of the integrated energy system, FELIs the electrification level of the comprehensive energy system.
4. The method of claim 3, wherein the projected total cost of operation F for the integrated energy systemECCalculated as follows:
Figure FDA0003492054800000021
in the formula, FECThe total planned operating cost of the integrated energy system; omegaEL、ΩGL、ΩHL、ΩGG、ΩCHP、ΩCCHP、ΩGB、ΩEH、ΩHP、ΩAC、ΩEC、ΩWP、ΩPV、ΩES、ΩHS、ΩCSAnd ΩGSThe system comprises a planning candidate device set which is respectively a power grid line, a gas network pipeline, a heat supply network pipeline, a gas generator set, gas cogeneration, gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank;
Figure FDA0003492054800000022
decision variables for determining whether the power grid line, the gas network pipeline and the heat network pipeline between the node i and the node j are constructed are integer variables representing the number of planned and constructed lines/pipelines;
Figure FDA0003492054800000023
Figure FDA0003492054800000024
and
Figure FDA0003492054800000025
decision variables for establishing a gas generator set, a gas cogeneration, a gas triple co-generation, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold accumulation and a gas storage tank at a node i are integer variables representing the number of planned and constructed equipment;
Figure FDA0003492054800000026
and
Figure FDA0003492054800000027
the construction costs of a power grid line, an air grid pipeline and a heat supply network pipeline between the node i and the node j are respectively;
Figure FDA0003492054800000028
Figure FDA0003492054800000029
and
Figure FDA00034920548000000210
the construction costs of a gas generator set, a gas cogeneration unit, a gas triple co-generation unit, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank are respectively obtained;
Figure FDA00034920548000000211
Figure FDA00034920548000000212
and
Figure FDA00034920548000000213
respectively the unit price of electricity purchasing, the unit price of gas purchasing and the unit price of heat purchasing from the outside in the area at the time t; omegaesta、ΩgstaAnd ΩhstaRespectively a transformer substation set, a gas distribution station set and a heat distribution station set which are connected with the outside and the area;
Figure FDA0003492054800000031
and
Figure FDA0003492054800000032
respectively purchasing energy from an ith transformer substation, an ith gas distribution station and an ith heat distribution station at the t moment;
Figure FDA0003492054800000033
the unit incentive cost of the demand response at the t moment; omegadrpA set of power nodes with demand response potential; pi drp,tElectric power is cut for the t-th time demand response.
5. The method of claim 4, wherein the integrated energy system has an overall carbon emission level FENCalculated as follows:
Figure FDA0003492054800000034
in the formula, FENIs the overall carbon emission level of the integrated energy system;
Figure FDA0003492054800000035
and
Figure FDA0003492054800000036
carbon dioxide emission coefficients of a gas boiler, a gas generator set, gas cogeneration and gas triple co-generation are respectively obtained;
Figure FDA0003492054800000037
and
Figure FDA0003492054800000038
the power output of the gas boiler, the gas generator set, the gas cogeneration and the gas triple co-generation at the t moment are respectively provided.
6. The method of claim 4, wherein the overall energy efficiency level F of the integrated energy systemEFCalculated as follows:
Figure FDA0003492054800000039
in the formula, FEFThe overall energy efficiency level of the comprehensive energy system;
Figure FDA00034920548000000310
and
Figure FDA00034920548000000311
the energy requirements of the electricity, heat, cold and gas terminals of the ith node at the t moment are respectively.
7. The method of claim 4, wherein the integrated energy system electrification level is according to FELThe following formula is calculated:
Figure FDA00034920548000000312
in the formula, FELIs the electrification level of the comprehensive energy system.
8. The method of claim 2, wherein the constraints of the multi-objective function include: the method comprises the following steps of electric power balance constraint, thermal power balance constraint, cold power balance constraint, gas power balance constraint, various equipment capacity constraint, new energy source unit output constraint, various equipment multi-energy conversion efficiency constraint, various equipment construction scale constraint, line/pipeline transmission capacity constraint, line/pipeline construction return upper limit constraint, transformer substation/gas distribution station/heat exchange station capacity constraint, demand response time interval constraint, demand response accumulated electric quantity constraint, energy storage charging and discharging energy balance constraint, energy storage charging and discharging power upper limit constraint, electric energy storage SOC constraint and energy storage construction scale constraint.
9. The method of claim 1, wherein the projected amount of energy comprises: the device comprises a gas generator set, a gas cogeneration unit, a gas triple co-generation unit, a gas boiler, an electric boiler, a heat pump, an absorption refrigerator, a compression refrigerator, wind power, photovoltaic power generation, electric energy storage, heat storage, cold storage and a gas storage tank.
10. A source network and storage collaborative planning system of an integrated energy system is characterized by comprising:
the acquisition module is used for acquiring parameters of various energy sources for constructing the comprehensive energy system;
the calculation module is used for substituting the parameters of the various energy sources into a pre-constructed comprehensive energy system planning model, and obtaining the planning quantity of the various energy sources when the multi-objective function is minimum through optimization solution;
the planning module is used for planning the comprehensive energy system according to the various energy planning quantities;
the comprehensive energy system planning model is constructed by a multi-objective function established by taking the minimum sum of an economic objective, an environmental objective, an energy efficiency objective and an electrification rate objective of the comprehensive energy system as an objective and constraint conditions set for the economic objective, the environmental objective, the energy efficiency objective and the electrification rate objective.
11. The system of claim 10, further comprising a construction module for constructing a multi-objective function with a minimum of the sum of the economic objective, environmental objective, energy efficiency objective, and electrical rate objective; taking the respective constraint conditions of the economic target, the environmental target, the energy efficiency target and the electrification rate target as constraint conditions of the multi-target function; and constructing the comprehensive energy system planning model according to the multi-objective function and the constraint conditions of the multi-objective function.
12. A computer device, comprising:
one or more processors;
the processor to execute one or more programs;
the one or more programs, when executed by the one or more processors, implement a method for integrated energy system source grid storage co-planning as recited in any of claims 1-9.
13. A computer-readable storage medium, having stored thereon a computer program which, when executed, implements an integrated energy system source grid storage co-planning method as claimed in any one of claims 1 to 9.
CN202210100110.XA 2022-01-27 2022-01-27 Source network and storage collaborative planning method and system for comprehensive energy system Pending CN114595868A (en)

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CN115081902A (en) * 2022-06-30 2022-09-20 国网北京市电力公司 Comprehensive planning method, device, equipment and medium based on source network load-storage cooperation
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114844124A (en) * 2022-06-20 2022-08-02 中国电力工程顾问集团中南电力设计院有限公司 Operation control method of comprehensive energy system based on target optimization
CN114844124B (en) * 2022-06-20 2024-04-19 中国电力工程顾问集团中南电力设计院有限公司 Operation control method of comprehensive energy system based on target optimization
CN115081902A (en) * 2022-06-30 2022-09-20 国网北京市电力公司 Comprehensive planning method, device, equipment and medium based on source network load-storage cooperation
CN115081902B (en) * 2022-06-30 2024-04-09 国网北京市电力公司 Comprehensive planning method, device, equipment and medium based on source network load storage cooperation
CN115795881A (en) * 2022-11-21 2023-03-14 国网江苏省电力有限公司苏州供电分公司 Heat storage device planning method and system for comprehensive energy system
CN115795881B (en) * 2022-11-21 2024-03-29 国网江苏省电力有限公司苏州供电分公司 Comprehensive energy system heat storage device planning method and system
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CN116169682A (en) * 2023-03-15 2023-05-26 国网湖北省电力有限公司十堰供电公司 Comprehensive energy system optimization scheduling strategy considering carbon emission flow and wind-solar energy consumption
CN116169682B (en) * 2023-03-15 2023-10-24 国网湖北省电力有限公司十堰供电公司 Comprehensive energy system optimization scheduling strategy considering carbon emission flow and wind-solar energy consumption

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