CN117273810B - Comprehensive energy sharing scheduling method and system with excitation compatibility - Google Patents
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Abstract
The invention discloses a comprehensive energy sharing scheduling method and system with excitation compatibility, comprising the following steps: acquiring the load quantity of each device in a sharing scheduling process of a sharing scheduling system of a plurality of comprehensive energy systems; substituting the load into a pre-constructed shared scheduling model of a plurality of comprehensive energy systems and solving to obtain an optimization result; and obtaining an energy sharing dispatching optimization scheme of the multi-comprehensive energy system based on the optimization result and the maximized economic model mechanism. The technical scheme provided by the invention realizes the sharing scheduling optimization of a plurality of comprehensive energy systems, improves the utilization efficiency of various energy sources, and thus realizes the overall optimal operation scheduling of comprehensive energy service providers and a plurality of comprehensive energy systems.
Description
Technical Field
The invention relates to the technical field of comprehensive energy sharing scheduling, in particular to a comprehensive energy sharing scheduling method and system with excitation compatibility.
Background
Since the 21 st century, the international society has focused on the complementation of the interconnection between multiple energy sources and the efficient utilization of clean energy sources as the contradiction between economic development and climate problems increase and energy shortage becomes increasingly acute. In addition, various energy coupling devices and energy conversion technologies (such as cogeneration, hydrogen production, electricity to gas conversion and the like) develop to intensify the coupling between various types of energy. In this context, integrated energy service providers that participate in various energy production transactions have grown.
The comprehensive energy system is an organic coordination of energy network, energy production, conversion, storage, consumption and end use participants, and is a complex multi-energy coupling system. Because of the diversified energy demands of a plurality of users in the comprehensive energy system, different types of energy are tightly coupled and flexibly converted, and great challenges are brought to the collaborative operation and energy management of the system. Different comprehensive energy systems have different new energy output levels, load consumption capacities and energy response characteristics, and the problems of low energy utilization level, small adjustable potential, high operation cost and the like can occur during independent operation. With the rise of sharing economy, energy sharing is becoming an effective means of improving energy utilization efficiency. Therefore, in order to promote the resource optimization configuration of the comprehensive energy market, the formulation of a reasonable energy scheduling mechanism becomes a key to solve the problem, and an energy sharing scheduling method of the comprehensive energy system is needed.
The comprehensive energy sharing scheduling method and system with excitation compatibility provided by the invention mainly consider solving the following two problems: firstly, based on detailed models of equipment such as energy production, conversion, storage and the like, how to build a comprehensive energy scheduling model containing a plurality of comprehensive energy service providers; and how to stimulate the comprehensive energy service providers to flexibly schedule, thereby reducing the cost and improving the scheduling efficiency of various energy sources.
Disclosure of Invention
The invention discloses a comprehensive energy sharing and scheduling method and a system with excitation compatibility, and in a first aspect, the invention provides a comprehensive energy sharing and scheduling method with excitation compatibility, which comprises the following steps:
step 1, acquiring operation parameters of an electricity-heat-hydrogen comprehensive energy market, wherein the operation parameters comprise hydrogen heat cogeneration, a heat pump, a cogeneration unit and energy storage information; acquiring load and new energy output information;
step 2, aiming at the operation parameters, load and new energy output information of the electric-thermal-hydrogen comprehensive energy market, a dispatching optimization model containing a plurality of comprehensive energy sources is constructed by taking the minimum cost of a comprehensive energy system as an optimization target, and the operation constraint of electric hydrogen production, the operation constraint of a cogeneration unit and the operation constraint of energy storage are taken as constraint conditions;
substituting the operation parameters, the load and the new energy output information into a pre-constructed dispatching optimization model of the multiple comprehensive energy sources and solving to obtain an optimization result; introducing a maximized economic dispatching mechanism, and constructing a comprehensive energy sharing dispatching model with excitation compatibility property to obtain a final optimization result;
and step 4, obtaining a comprehensive energy sharing dispatching optimization scheme based on the final optimization result.
Further, the load includes: electrical load, thermal load, hydrogen load.
Further, in step 2, the cost minimum optimization objective function is:
minW＝W E +W CHP
wherein: w represents the total cost of operation of the integrated energy system, W E Represents the dispatching cost of the comprehensive energy system, W CHP Representing the total operation cost of the cogeneration unit, the heat pump, the hydrogen cogeneration unit and the energy storage equipment.
Further, the comprehensive energy system scheduling cost is as follows:
wherein: subscript t represents scheduling time, subscript e represents comprehensive energy service provider, W CHP Representing the running cost of the cogeneration unit, C g,b Representing the cost of unit natural gas dispatch,Representing unit power scheduling cost, C h,b Representing unit heat energy scheduling cost, C H2,b Representing unit hydrogen dispatch cost; />For the natural gas quantity scheduled at the integrated energy service provider e at time t, < >>For the electric energy scheduled at the integrated energy service provider e at time t,/for the time t>For the heat energy scheduled at the integrated energy service provider e at time t,/for the time t>And integrating the hydrogen quality scheduled at the energy service provider e at the time t.
Further, in step 2, the constraint condition is:
1) Combined heat and power generation model
Wherein:for the electric energy produced by the cogeneration unit at the integrated energy service provider e at time t, < >>For the heat energy prepared by the cogeneration unit at the energy service provider e at the moment t, < >>The efficiency of electric energy and heat energy prepared by the cogeneration unit at the comprehensive energy service provider e; />For the upper and lower limits of the electric energy produced by the cogeneration unit at the energy service provider e, +.>A working mark of the cogeneration unit at a moment comprehensive energy service provider; />A starting sign of the cogeneration unit at the moment comprehensive energy service provider; />For the stop sign of the cogeneration unit at the time integrated energy service provider,minimum startup and shutdown time of cogeneration unit at energy service provider e>Maximum upward and downward climbing rate of cogeneration unit at energy service provider e,/->And->The maximum upward slope climbing rate and the maximum downward slope climbing rate of the cogeneration unit at the comprehensive energy service provider e are achieved when the cogeneration unit is started up.
2) Hydrogen heat cogeneration unit model
Wherein:for the total electrical energy consumed by the cogeneration plant at the integrated energy service e at time t,/->For the electric energy consumed by hydrogen production of hydrogen-heat cogeneration equipment at the comprehensive energy service provider e at the moment t,/->Electric energy consumed by heating of hydrogen heat cogeneration equipment at t moment comprehensive energy service provider e, < >>For the combination coefficient->For the operating temperature of the cogeneration plant at the integrated energy service provider e at time t, +.>For the hydrogen energy produced by the hydrogen heat cogeneration equipment at the comprehensive energy service provider e at the moment t,for the mass of hydrogen produced by the hydrogen-heat cogeneration plant at the integrated energy service provider e at time t,/->Waste heat power recovered by hydrogen heat cogeneration equipment at e of comprehensive energy service provider at t moment +.>For the heat lost by the cogeneration plant at the integrated energy service provider e at time t,/->Operating a feasible region vertex value for the hydrogen and heat cogeneration plant at the integrated energy service provider e,/->Hydrogen production efficiency ρ for hydrogen-heat cogeneration equipment H2 For hydrogen density, H H2 C is hydrogen with low calorific value ELZ Heat resistance of hydrogen-heat cogeneration equipment, T t A Is the ambient temperature at time t, r ELZ Is the heat capacity of the hydrogen heat cogeneration equipment.
3) Energy storage device restraint
S e,0 ＝S e,T (A-22)
Wherein: s is S e,t For the state of charge of the energy storage device at the integrated energy service provider e at time t,energy storage efficiency for an energy storage device at the integrated energy service provider e, +.>For the energy release efficiency of the energy storage device at the integrated energy service provider e->Rated capacity of energy storage device at integrated energy service provider e, +.>For the energy storage power of the energy storage device at the comprehensive energy service provider e at time t,/>For the energy release power of the energy storage device at the comprehensive energy service provider e at time t,/for the energy storage device>And S is equal to e For the upper and lower limits of the state of charge of the energy storage device at the integrated energy service provider e, +.>And->For the state variable of the energy storage device at the integrated energy service provider e at time t,and->And (5) the energy storage and release upper limit of the energy storage equipment at the comprehensive energy service provider e.
4) Supply and demand balance constraint
Wherein:new energy output of e.g. for t moment comprehensive energy service provider,/->The electric energy consumed by the heat pump at the e-position of the comprehensive energy service provider at the t moment; />For the power demand at the integrated energy service e at time t,/>For the waste heat recovered at the comprehensive energy service provider e at time t,/->For the heat energy requirement at the integrated energy service e at time t,/>The quality of hydrogen purchased outwards for the integrated energy service provider e at time t, < >>Heating coefficient of heat pump for integrated energy service provider e, +.>And integrating the hydrogen demand of the energy service provider e at the time t.
Further, after obtaining the optimization result, the method includes:
solving a pre-constructed maximized economic model to obtain an excitation result; and obtaining the excitation limit of each energy sharing system based on the excitation result.
Further, the calculation formula of the objective function of the maximized economic model is as follows:
in the above formula, E is the maximum economic objective function value, delta SDEB To integrate the profitability value of the energy service providers to participate in the shared schedule,profit value omega for participating in sharing scheduling for ith comprehensive energy system i The contribution value of the ith integrated energy system is sigma, the compensation coefficient of the ith integrated energy system is sigma, and epsilon is a correction coefficient.
In a second aspect, an integrated energy sharing scheduling system with incentive compatible properties is provided, comprising the following modules:
the data acquisition module is used for acquiring operation parameters of the electricity-heat-hydrogen comprehensive energy market, wherein the operation parameters comprise hydrogen heat cogeneration, a heat pump, a cogeneration unit and energy storage information, and also are used for acquiring load and new energy output information;
the model construction module is used for constructing a dispatching optimization model containing a plurality of comprehensive energy sources aiming at the operation parameters, the load and the new energy output information of the electric-thermal-hydrogen comprehensive energy market by taking the minimum cost of the comprehensive energy system as an optimization target, and taking the operation constraint of the electric hydrogen production unit, the operation constraint of the cogeneration unit and the energy storage operation constraint as constraint conditions;
the model solving module is used for substituting the operation parameters, the load and the new energy output information into a pre-constructed scheduling optimization model of the multiple comprehensive energy sources and solving the scheduling optimization model to obtain an optimization result; and introducing a maximized economic dispatching mechanism, constructing a comprehensive energy sharing dispatching model with excitation compatibility, obtaining a final optimizing result, and obtaining a comprehensive energy sharing dispatching optimizing scheme based on the final optimizing result.
Further, there is provided an integrated energy sharing scheduling device comprising an incentive compatible property, comprising a memory and a processor, the memory storing an integrated energy sharing scheduling processor comprising an incentive compatible property, the processor being arranged to run the integrated energy sharing scheduling processor comprising an incentive compatible property to run an integrated energy sharing scheduling method comprising an incentive compatible property.
Further, there is also provided a computer-readable storage medium comprising: computer-executable instructions that, when executed, perform a method for integrated energy sharing scheduling including incentive compliance properties.
The invention has the following beneficial effects: firstly, building a comprehensive energy scheduling model containing a plurality of comprehensive energy service providers based on detailed models of equipment such as energy production, conversion, storage and the like; and secondly, a maximized economic model is introduced, and the comprehensive energy service providers are stimulated to flexibly schedule, so that the cost is reduced, and the scheduling efficiency of various energy sources is improved.
Drawings
FIG. 1 is a flow chart of a shared scheduling method with incentive compatibility of the present invention;
FIG. 2 is a schematic diagram of an embodiment of a shared dispatch system for a multiple integrated energy system;
FIG. 3 is a diagram of an integrated energy market framework including a plurality of integrated energy servers;
fig. 4 is a main structural block diagram of a multi-integrated energy system sharing scheduling system according to an embodiment of the present invention.
Detailed Description
The present invention is further illustrated in the accompanying drawings and detailed description which are to be understood as being merely illustrative of the invention and not limiting of its scope, since various modifications of the invention, which are equivalent to those skilled in the art, will fall within the scope of the invention as defined in the appended claims after reading the invention.
The sharing scheduling method of the multi-comprehensive energy system is described in detail below.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of main steps of a sharing scheduling method of a multi-integrated energy system according to embodiment 1 of the present invention. As shown in fig. 1, the method for sharing and scheduling a multi-integrated energy system in embodiment 1 of the present invention mainly includes the following steps:
step 1, acquiring operation parameters of an electricity-heat-hydrogen comprehensive energy market, wherein the operation parameters comprise hydrogen heat cogeneration, a heat pump, a cogeneration unit and energy storage information; acquiring load and new energy output information;
step 2, aiming at the operation parameters, load and new energy output information of the electric-thermal-hydrogen comprehensive energy market, a dispatching optimization model containing a plurality of comprehensive energy sources is constructed by taking the minimum cost of a comprehensive energy system as an optimization target, and the operation constraint of electric hydrogen production, the operation constraint of a cogeneration unit and the operation constraint of energy storage are taken as constraint conditions;
substituting the operation parameters, the load and the new energy output information into a pre-constructed dispatching optimization model of the multiple comprehensive energy sources and solving to obtain an optimization result; and introducing a maximized economic dispatching mechanism, and constructing a comprehensive energy sharing dispatching model with excitation compatibility property to obtain a final optimization result.
And step 4, obtaining a comprehensive energy sharing dispatching optimization scheme based on the final optimization result.
Further, the load includes: electrical load, thermal load, hydrogen load.
In this embodiment, the energy sharing system of the multi-integrated energy system mainly includes an external energy source, an integrated energy service provider (integrated energy service provider, IESP) and a plurality of integrated energy source (integrated energy system, IES) systems IES, as shown in fig. 2. Wherein there is an energy interaction between the IESP and the external energy network and between the IES, and there is also an energy interaction between the IES. The external energy source comprises a power supply network, a gas supply network, a power supply network and a hydrogen supply network.
In this embodiment, the IESP will link the IES together to perform the sharing optimization scheduling on the surplus energy. Energy sharing may deviate IES from individual optimal schedules to meet the energy demands of other IES, so the IESP needs to allocate sharing benefits to IES to promote IES to share energy, and thus the pre-built multi-campus integrated energy system energy interaction optimization model includes: and sharing the objective function and constraint conditions for scheduling and optimizing the construction for the multi-comprehensive energy system.
Further, in step 3, the cost minimum optimization objective function is:
minW＝W E +W CHP
wherein: w represents the total cost of operation of the integrated energy system, W E Represents the dispatching cost of the comprehensive energy system, W CHP Representing the total operation cost of the cogeneration unit, the heat pump, the hydrogen cogeneration unit and the energy storage equipment.
Further, the comprehensive energy system scheduling cost is as follows:
wherein: subscript t represents scheduling time, subscript e represents comprehensive energy service provider, W CHP Representing cogeneration unitsRunning cost, C g,b Representing the cost of unit natural gas dispatch,Representing unit power scheduling cost, C h,b Representing unit heat energy scheduling cost, C H2,b Representing unit hydrogen dispatch cost; />For the natural gas quantity scheduled at the integrated energy service provider e at time t, < >>For the electric energy scheduled at the integrated energy service provider e at time t,/for the time t>For the heat energy scheduled at the integrated energy service provider e at time t,/for the time t>And integrating the hydrogen quality scheduled at the energy service provider e at the time t.
Further, in step 3, the constraint condition is:
1) Combined heat and power generation model
Wherein:for the electric energy produced by the cogeneration unit at the integrated energy service provider e at time t, < >>For the heat energy prepared by the cogeneration unit at the energy service provider e at the moment t, < >>The efficiency of electric energy and heat energy prepared by the cogeneration unit at the comprehensive energy service provider e; />For the upper and lower limits of the electric energy produced by the cogeneration unit at the energy service provider e, +.>A working mark of the cogeneration unit at a moment comprehensive energy service provider; />A starting sign of the cogeneration unit at the moment comprehensive energy service provider; />For the stop sign of the cogeneration unit at the time integrated energy service provider,minimum startup and shutdown time of cogeneration unit at energy service provider e>Maximum upward and downward climbing rate of cogeneration unit at energy service provider e,/->And->The maximum upward slope climbing rate and the maximum downward slope climbing rate of the cogeneration unit at the comprehensive energy service provider e are achieved when the cogeneration unit is started up.
2) Hydrogen heat cogeneration unit model
Wherein:for the total electrical energy consumed by the cogeneration plant at the integrated energy service e at time t,/->For the electric energy consumed by hydrogen production of hydrogen-heat cogeneration equipment at the comprehensive energy service provider e at the moment t,/->Electric energy consumed by heating of hydrogen heat cogeneration equipment at t moment comprehensive energy service provider e, < >>For the combination coefficient->Is t time integrationOperating temperature of a cogeneration plant at the energy service provider e, +.>For the hydrogen energy produced by the hydrogen heat cogeneration equipment at the comprehensive energy service provider e at the moment t,for the mass of hydrogen produced by the hydrogen-heat cogeneration plant at the integrated energy service provider e at time t,/->Waste heat power recovered by hydrogen heat cogeneration equipment at e of comprehensive energy service provider at t moment +.>For the heat lost by the cogeneration plant at the integrated energy service provider e at time t,/->Operating a feasible region vertex value for the hydrogen and heat cogeneration plant at the integrated energy service provider e,/->Hydrogen production efficiency ρ for hydrogen-heat cogeneration equipment H2 For hydrogen density, H H2 C is hydrogen with low calorific value ELZ Heat resistance of hydrogen-heat cogeneration equipment, T t A Is the ambient temperature at time t, r ELZ Is the heat capacity of the hydrogen heat cogeneration equipment.
3) Energy storage device restraint
S e,0 ＝S e,T (A-22)
Wherein: s is S e,t For the state of charge of the energy storage device at the integrated energy service provider e at time t,energy storage efficiency for an energy storage device at the integrated energy service provider e, +.>For the energy release efficiency of the energy storage device at the integrated energy service provider e->Rated capacity of energy storage device at integrated energy service provider e, +.>For the energy storage power of the energy storage device at the comprehensive energy service provider e at time t,/>For the energy release power of the energy storage device at the comprehensive energy service provider e at time t,/for the energy storage device>And S is equal to e For the upper and lower limits of the state of charge of the energy storage device at the integrated energy service provider e, +.>And->For the state variable of the energy storage device at the integrated energy service provider e at time t,and->And (5) the energy storage and release upper limit of the energy storage equipment at the comprehensive energy service provider e.
4) Supply and demand balance constraint
Wherein:new energy output of e.g. for t moment comprehensive energy service provider,/->The electric energy consumed by the heat pump at the e-position of the comprehensive energy service provider at the t moment; />For the power demand at the integrated energy service e at time t,/>For the waste heat recovered at the comprehensive energy service provider e at time t,/->For the heat energy requirement at the integrated energy service e at time t,/>The quality of hydrogen purchased outwards for the integrated energy service provider e at time t, < >>Heating coefficient of heat pump for integrated energy service provider e, +.>And integrating the hydrogen demand of the energy service provider e at the time t.
Because energy sharing scheduling requires that each energy system deviate from individual optimal scheduling, increasing individual costs, an incentive compliance method is needed to motivate each energy system to participate in energy sharing. The main idea is to distribute the sharing benefit according to the contribution value of each energy system participating in the sharing scheduling, so that after the multi-comprehensive energy system sharing scheduling optimization scheme is obtained based on the optimization result, the method comprises the following steps:
solving a pre-constructed maximized economic model to obtain an excitation result; and obtaining the excitation amount of each shared dispatching system based on the excitation result.
Further, the calculation formula of the objective function of the maximized economic model is as follows:
in the above formula, E is the maximum economic objective function value, delta SDEB To integrate the profitability value of the energy service providers to participate in the shared schedule,profit value omega for participating in sharing scheduling for ith comprehensive energy system i The contribution value of the ith integrated energy system is sigma, the compensation coefficient of the ith integrated energy system is sigma, epsilon is a correction coefficient, and the compensation coefficient is calculated according to the marketThe field conditions are corrected.
The calculation formula of the economic benefit of the sharing scheduling system of the multi-comprehensive energy system participating in sharing scheduling is as follows:
b is the total revenue of the integrated energy service provider,to participate in the net running cost of the integrated energy service provider after sharing the dispatch, tau i And (5) scheduling the incentive amount for sharing the ith comprehensive energy system.
The calculation formula of the economic benefit of the ith comprehensive energy system participating in shared scheduling is as follows:
for the total operating costs of the ith integrated energy system, +.>The operation cost of the ith integrated energy system after the sharing scheduling is participated.
The calculation formula of the contribution value of the ith comprehensive energy system is as follows:
and (3) the sharing value of the ith comprehensive energy system in the period T, wherein T is the total number of the period.
The calculation formula of the shared scheduling value of the ith comprehensive energy system in the period t is as follows:
in the above-mentioned method, the step of,the marginal prices for electrical, thermal, hydrogen load, respectively.
Example 2
The comprehensive energy sharing and scheduling system with the excitation compatibility property comprises the following modules:
the data acquisition module is used for acquiring operation parameters of the electricity-heat-hydrogen comprehensive energy market, wherein the operation parameters comprise hydrogen heat cogeneration, a heat pump, a cogeneration unit and energy storage information, and also are used for acquiring load and new energy output information;
the model construction module is used for constructing a dispatching optimization model containing a plurality of comprehensive energy sources aiming at the operation parameters, the load and the new energy output information of the electric-thermal-hydrogen comprehensive energy market by taking the minimum cost of the comprehensive energy system as an optimization target, and taking the operation constraint of the electric hydrogen production unit, the operation constraint of the cogeneration unit and the energy storage operation constraint as constraint conditions;
the model solving module is used for substituting the operation parameters, the load and the new energy output information into a pre-constructed scheduling optimization model of the multiple comprehensive energy sources and solving the scheduling optimization model to obtain an optimization result; and introducing a maximized economic dispatching mechanism, constructing a comprehensive energy sharing dispatching model with excitation compatibility, obtaining a final optimizing result, and obtaining a comprehensive energy sharing dispatching optimizing scheme based on the final optimizing result.
Example 3
Based on the same inventive concept, there is also provided an integrated energy sharing scheduling device with excitation-compatible properties, comprising a memory and a processor, wherein the memory stores an integrated energy sharing scheduling processing program with excitation-compatible properties, and the processor is configured to run the integrated energy sharing scheduling processing program with excitation-compatible properties to run an integrated energy sharing scheduling method with excitation-compatible properties.
Example 4
Based on the same inventive concept, there is also provided a computer-readable storage medium comprising: computer-executable instructions that, when executed, perform a method for integrated energy sharing scheduling including incentive compliance properties.
The invention has the following beneficial effects: firstly, building a comprehensive energy scheduling model containing a plurality of comprehensive energy service providers based on detailed models of equipment such as energy production, conversion, storage and the like; and secondly, a maximized economic model is introduced, and the comprehensive energy service providers are stimulated to flexibly schedule, so that the cost is reduced, and the scheduling efficiency of various energy sources is improved.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the scope of the present invention.
Claims (7)
1. The comprehensive energy sharing scheduling method with the excitation compatibility property is characterized by comprising the following steps of:
step 1, acquiring operation parameters of an electricity-heat-hydrogen comprehensive energy market, wherein the operation parameters comprise hydrogen heat cogeneration, a heat pump, a cogeneration unit and energy storage information, and acquiring load and new energy output information;
step 2, aiming at the operation parameters, load and new energy output information of the electric-thermal-hydrogen comprehensive energy market, a shared scheduling model containing a plurality of comprehensive energy sources is constructed by taking the minimum cost of a comprehensive energy system as an optimization target, and the operation constraint of electric hydrogen production, the operation constraint of a cogeneration unit and the operation constraint of energy storage are taken as constraint conditions;
the constraint conditions are as follows:
1) Combined heat and power generation model
Wherein:for the electric energy produced by the cogeneration unit at the integrated energy service provider e at time t, < >>For the heat energy prepared by the cogeneration unit at the energy service provider e at the moment t, < >>The efficiency of electric energy and heat energy prepared by the cogeneration unit at the comprehensive energy service provider e; />For the upper and lower limits of the electric energy produced by the cogeneration unit at the energy service provider e,a working mark of the cogeneration unit at a moment comprehensive energy service provider; />A starting sign of the cogeneration unit at the moment comprehensive energy service provider; />Stop sign for cogeneration unit at time integrated energy service provider->Minimum startup and shutdown time of cogeneration unit at energy service provider e>Maximum upward and downward climbing rate of cogeneration unit at energy service provider e,/->And->The maximum upward slope climbing rate and the maximum downward slope climbing rate of the cogeneration unit at the comprehensive energy service provider e are realized;
2) Hydrogen heat cogeneration unit model
Wherein:for the total electrical energy consumed by the cogeneration plant at the integrated energy service e at time t,/->For the electric energy consumed by hydrogen production of hydrogen-heat cogeneration equipment at the comprehensive energy service provider e at the moment t,/->Electric energy consumed by heating of hydrogen heat cogeneration equipment at t moment comprehensive energy service provider e, < >>For the combination coefficient->For the operating temperature of the cogeneration plant at the integrated energy service provider e at time t, +.>For the hydrogen energy produced by the hydrogen-heat cogeneration plant at the integrated energy service provider e at time t,/-, for example>For the mass of hydrogen produced by the hydrogen-heat cogeneration plant at the integrated energy service provider e at time t,/->Waste heat power recovered by hydrogen heat cogeneration equipment at e of comprehensive energy service provider at t moment +.>For the heat lost by the cogeneration plant at the integrated energy service provider e at time t,/->Operating a feasible region vertex value for the hydrogen and heat cogeneration plant at the integrated energy service provider e,/->Hydrogen production efficiency ρ for hydrogen-heat cogeneration equipment H2 For hydrogen density, H H2 C is hydrogen with low calorific value ELZ Heat resistance of hydrogen-heat cogeneration equipment, T t A Is the ambient temperature at time t, r ELZ The heat capacity of the hydrogen heat cogeneration equipment;
3) Energy storage device restraint
S e,0 ＝S e,T (A-22)
Wherein: se, t is the charge state of the energy storage equipment at the time t comprehensive energy service provider e,energy storage efficiency for an energy storage device at the integrated energy service provider e, +.>For the energy release efficiency of the energy storage device at the integrated energy service provider e->Rated capacity of energy storage device at integrated energy service provider e, +.>For the energy storage power of the energy storage device at the comprehensive energy service provider e at time t,/>For the energy release power of the energy storage device at the comprehensive energy service provider e at time t,/for the energy storage device>And Se is the upper and lower limit of the charge state of the energy storage equipment at the integrated energy service provider e,/->And->For the state variable of the energy storage device at the integrated energy service provider e at time t,/for the time t>And->The energy storage and release upper limit of the energy storage equipment at the comprehensive energy service provider e;
4) Supply and demand balance constraint
Wherein:new energy output of e.g. for t moment comprehensive energy service provider,/->The electric energy consumed by the heat pump at the e-position of the comprehensive energy service provider at the t moment; />For the power demand at the integrated energy service e at time t,/>For the waste heat recovered at the comprehensive energy service provider e at time t,/->For the heat energy requirement at the integrated energy service e at time t,/>The quality of hydrogen purchased outwards for the integrated energy service provider e at time t, < >>For comprehensive energy service providersHeating coefficient of heat pump at e +.>Integrating the hydrogen demand of the energy service provider e for the time t;
the cost minimum optimization objective function is:
min W＝W E +W CHP
wherein: w represents the total cost of operation of the integrated energy system, W E Represents the dispatching cost of the comprehensive energy system, W CHP Representing the total operation cost of the cogeneration unit, the heat pump, the hydrogen cogeneration unit and the energy storage equipment;
substituting the operation parameters, the load and the new energy output information into a pre-constructed shared scheduling model of the multiple comprehensive energy sources and solving to obtain an optimization result; introducing a maximized economic dispatching mechanism, and constructing a comprehensive energy sharing dispatching model with excitation compatibility property to obtain a final optimization result;
the maximized economic dispatch mechanism adopts an object function of the maximized economic model, and the calculation formula is as follows:
in the above formula, E is the maximum economic objective function value, delta SDEB To integrate the profitability value of the energy service providers to participate in the shared schedule,profit value omega for participating in sharing scheduling for ith comprehensive energy system i The contribution value of the ith comprehensive energy system is sigma, the compensation coefficient of the ith comprehensive energy system is sigma, and epsilon is a correction coefficient;
and step 4, obtaining a comprehensive energy sharing dispatching optimization scheme based on the final optimization result.
2. The method for integrated energy sharing scheduling with incentive compatible properties of claim 1 wherein said load comprises: electrical load, thermal load, hydrogen load.
3. The comprehensive energy sharing scheduling method with excitation compatible properties according to claim 2, wherein the comprehensive energy system scheduling cost is:
wherein: subscript t represents scheduling time, subscript e represents comprehensive energy service provider, C g,b Representing the cost of unit natural gas dispatch,Representing unit power scheduling cost, C h,b Representing unit heat energy scheduling cost, C H2,b Representing unit hydrogen dispatch cost;for the natural gas quantity scheduled at the integrated energy service provider e at time t, < >>For the electric energy scheduled at the integrated energy service provider e at time t,/for the time t>For the heat energy scheduled at the integrated energy service provider e at time t,/for the time t>And integrating the hydrogen quality scheduled at the energy service provider e at the time t.
4. The method for integrated energy sharing scheduling with excitation-compatible properties according to claim 3, wherein after obtaining the optimization result, the method comprises:
solving a pre-constructed maximized economic model to obtain an excitation result; and obtaining the excitation limit of each energy sharing system based on the excitation result.
5. An integrated energy sharing scheduling system with excitation compatible properties, which implements the integrated energy sharing scheduling method with excitation compatible properties according to any one of claims 1 to 4, characterized by comprising the following modules:
the data acquisition module is used for acquiring operation parameters of the electricity-heat-hydrogen comprehensive energy market, wherein the operation parameters comprise hydrogen heat cogeneration, a heat pump, a cogeneration unit and energy storage information, and also are used for acquiring load and new energy output information;
the model construction module is used for constructing a dispatching optimization model containing a plurality of comprehensive energy sources aiming at the operation parameters, the load and the new energy output information of the electric-thermal-hydrogen comprehensive energy market by taking the minimum cost of the comprehensive energy system as an optimization target, and taking the operation constraint of the electric hydrogen production unit, the operation constraint of the cogeneration unit and the energy storage operation constraint as constraint conditions;
the constraint conditions are as follows:
1) Combined heat and power generation model
Wherein:for the electric energy produced by the cogeneration unit at the integrated energy service provider e at time t, < >>For the heat energy prepared by the cogeneration unit at the energy service provider e at the moment t, < >>The efficiency of electric energy and heat energy prepared by the cogeneration unit at the comprehensive energy service provider e; />For the upper and lower limits of the electric energy produced by the cogeneration unit at the energy service provider e,a working mark of the cogeneration unit at a moment comprehensive energy service provider; />For the moment of timeA cogeneration unit start-up mark at a comprehensive energy service provider; />Stop sign for cogeneration unit at time integrated energy service provider->Minimum startup and shutdown time of cogeneration unit at energy service provider e>Maximum upward and downward climbing rate of cogeneration unit at energy service provider e,/->And->The maximum upward slope climbing rate and the maximum downward slope climbing rate of the cogeneration unit at the comprehensive energy service provider e are realized;
2) Hydrogen heat cogeneration unit model
Wherein:for the total electrical energy consumed by the cogeneration plant at the integrated energy service e at time t,/->For the electric energy consumed by hydrogen production of hydrogen-heat cogeneration equipment at the comprehensive energy service provider e at the moment t,/->Electric energy consumed by heating of hydrogen heat cogeneration equipment at t moment comprehensive energy service provider e, < >>For the combination coefficient->For the operating temperature of the cogeneration plant at the integrated energy service provider e at time t, +.>For the hydrogen energy produced by the hydrogen-heat cogeneration plant at the integrated energy service provider e at time t,/-, for example>For the mass of hydrogen produced by the hydrogen-heat cogeneration plant at the integrated energy service provider e at time t,/->Waste heat power recovered by hydrogen heat cogeneration equipment at e of comprehensive energy service provider at t moment +.>For the heat lost by the cogeneration plant at the integrated energy service provider e at time t,/->Operating a feasible region vertex value for the hydrogen and heat cogeneration plant at the integrated energy service provider e,/->Hydrogen production efficiency ρ for hydrogen-heat cogeneration equipment H2 For hydrogen density, H H2 C is hydrogen with low calorific value ELZ Heat resistance of hydrogen-heat cogeneration equipment, T t A Is the ambient temperature at time t, r ELZ The heat capacity of the hydrogen heat cogeneration equipment;
3) Energy storage device restraint
S e,0 ＝S e,T (A-22)
Wherein: s is S e,t For the state of charge of the energy storage device at the integrated energy service provider e at time t,energy storage efficiency for an energy storage device at the integrated energy service provider e, +.>For the energy release efficiency of the energy storage device at the integrated energy service provider e->Rated capacity of energy storage device at integrated energy service provider e, +.>Is the comprehensive energy at the time tThe stored energy power of the energy storage device at service provider e,for the energy release power of the energy storage device at the comprehensive energy service provider e at time t,/for the energy storage device>And (3) withS e For the upper and lower limits of the state of charge of the energy storage device at the integrated energy service provider e, +.>And->For the state variable of the energy storage device at the integrated energy service provider e at time t,and->The energy storage and release upper limit of the energy storage equipment at the comprehensive energy service provider e;
4) Supply and demand balance constraint
Wherein:new energy output of e.g. for t moment comprehensive energy service provider,/->The electric energy consumed by the heat pump at the e-position of the comprehensive energy service provider at the t moment; />For the power demand at the integrated energy service e at time t,/>For the waste heat recovered at the comprehensive energy service provider e at time t,/->For the heat energy requirement at the integrated energy service e at time t,/>The quality of hydrogen purchased outwards for the integrated energy service provider e at time t, < >>Heating coefficient of heat pump for integrated energy service provider e, +.>Integrating the hydrogen demand of the energy service provider e for the time t;
the cost minimum optimization objective function is:
min W＝W E +W CHP
wherein: w represents the total cost of operation of the integrated energy system, W E Represents the dispatching cost of the comprehensive energy system, W CHP Representing the total operation cost of the cogeneration unit, the heat pump, the hydrogen cogeneration unit and the energy storage equipment;
the model solving module is used for substituting the operation parameters, the load and the new energy output information into a pre-constructed scheduling optimization model of the multiple comprehensive energy sources and solving the scheduling optimization model to obtain an optimization result; introducing a maximized economic dispatching mechanism, constructing a comprehensive energy sharing dispatching model with excitation compatibility, obtaining a final optimizing result, and obtaining a comprehensive energy sharing dispatching optimizing scheme based on the final optimizing result;
the maximized economic dispatch mechanism adopts an object function of the maximized economic model, and the calculation formula is as follows:
in the above formula, E is the maximum economic objective function value, delta SDEB To integrate the profitability value of the energy service providers to participate in the shared schedule,profit value omega for participating in sharing scheduling for ith comprehensive energy system i The contribution value of the ith integrated energy system is sigma, the compensation coefficient of the ith integrated energy system is sigma, and epsilon is a correction coefficient.
6. An integrated energy sharing scheduling device comprising an incentive-compatible property, comprising a memory and a processor, wherein the memory has stored therein an integrated energy sharing scheduling processor comprising an incentive-compatible property, the processor being arranged to run the integrated energy sharing scheduling processor comprising an incentive-compatible property to run the method of any of claims 1-4.
7. A computer-readable storage medium, comprising: computer-executable instructions which, when executed, perform the method of any of claims 1-4.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114970962A (en) * | 2022-04-21 | 2022-08-30 | 燕山大学 | Optimization method of electric and thermal comprehensive energy system |
| CN115034551A (en) * | 2022-04-25 | 2022-09-09 | 中国电力科学研究院有限公司 | Energy interaction optimization method and device for multi-park comprehensive energy system |
| CN115689035A (en) * | 2022-11-08 | 2023-02-03 | 国网四川省电力公司经济技术研究院 | Cooperative optimization method for park level comprehensive energy system based on shared energy storage |
| CN115688448A (en) * | 2022-11-08 | 2023-02-03 | 国网综合能源服务集团有限公司 | Optimal scheduling method for multi-region comprehensive energy system considering shared energy storage |
| CN115860406A (en) * | 2022-12-19 | 2023-03-28 | 河北工业大学 | Energy scheduling method of park comprehensive energy system based on internal electricity price excitation |
| WO2023082697A1 (en) * | 2021-11-15 | 2023-05-19 | 中国电力科学研究院有限公司 | Coordination and optimization method and system for comprehensive electric-thermal energy system, and device, medium and program |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023082697A1 (en) * | 2021-11-15 | 2023-05-19 | 中国电力科学研究院有限公司 | Coordination and optimization method and system for comprehensive electric-thermal energy system, and device, medium and program |
| CN114970962A (en) * | 2022-04-21 | 2022-08-30 | 燕山大学 | Optimization method of electric and thermal comprehensive energy system |
| CN115034551A (en) * | 2022-04-25 | 2022-09-09 | 中国电力科学研究院有限公司 | Energy interaction optimization method and device for multi-park comprehensive energy system |
| CN115689035A (en) * | 2022-11-08 | 2023-02-03 | 国网四川省电力公司经济技术研究院 | Cooperative optimization method for park level comprehensive energy system based on shared energy storage |
| CN115688448A (en) * | 2022-11-08 | 2023-02-03 | 国网综合能源服务集团有限公司 | Optimal scheduling method for multi-region comprehensive energy system considering shared energy storage |
| CN115860406A (en) * | 2022-12-19 | 2023-03-28 | 河北工业大学 | Energy scheduling method of park comprehensive energy system based on internal electricity price excitation |
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