CN113705919A - Electricity-heat-hydrogen-based comprehensive energy system planning method and system - Google Patents
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- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a planning method and a system based on an electricity-heat-hydrogen comprehensive energy system. In the invention, each device of the integrated energy system with optimized configuration fully plays the function thereof, and basically realizes the simultaneous supply of electricity, heat and hydrogen. In the operation strategy, the fuel cell automobile and the hydrogen station are added into the P2G process, so that the surplus electric energy is effectively utilized. By switching the CHP operation mode, the power output of the power generator can be better matched with renewable energy sources, the energy waste is reduced while the load requirements are met, multi-target planning is carried out on IES by taking the minimum economic cost, the maximum wind and light absorption rate and the minimum insufficient energy supply as optimization targets, the planning requirements such as economic cost, the effective utilization of the renewable energy sources and the reliability of the energy supply can be better considered, and the change of uncertain factors can be effectively coped with by considering the limit scene. According to result analysis, the obtained planning scheme has strong adaptability to the output fluctuation of the renewable energy source.
Description
Technical Field
The invention belongs to the technical field of energy utilization, and particularly relates to a planning method and system based on an electricity-heat-hydrogen comprehensive energy system.
Background
In the aspects of energy utilization, environmental benefits, technical economy and the like, an Integrated Energy System (IES) supports access to large-scale renewable energy, access to large-scale hydrogen energy storage and other energy storage devices, supports transition to electrified traffic [1], and has become an inevitable trend of development of the future energy industry [2 ]. However, the number of conversion equipment involved is more, the planning is often more complex, and under the condition of meeting the technical economy, multiple kinds of energy are supplied at the same time and the full utilization of renewable energy sources is realized; in the aspect of uncertainty processing of renewable energy output planned by the comprehensive energy system, compared with renewable energy grid-connected power generation in a traditional power grid, in an IES with higher flexibility, how to reasonably plan the change of higher effect of the IES on uncertain factors is one of the important challenges. Currently, there is less research in the planning of IES to consider the uncertainty of renewable energy output.
However, after multiple energy conversions, the efficiency of the closed loop of power and natural gas energy may be only 15% to 22%, and the investment cost of the system is increased.
Disclosure of Invention
The invention aims to: in order to solve the problems, a planning method and system based on an electric-heat-hydrogen integrated energy system are provided.
The technical scheme adopted by the invention is as follows: the planning method and the system based on the electric-heat-hydrogen integrated energy system comprise the following steps when in operation:
s1, firstly, setting particle swarm parameters, wherein the parameters are as follows: c1 is c2 is 1.0, the maximum inertia weight coefficient wmax is 0.9, the minimum inertia weight coefficient wmin is 0.1, the maximum flight speed vmax of the particles is 1, the variation probability pm is 0.05, the population number of the particles is 50, and the maximum iteration number is 300;
s2, processing the optimization problem of the electricity-heat-hydrogen comprehensive energy by adopting an improved hybrid multi-objective particle swarm optimization algorithm;
s3, initializing the population, calculating a target function value, and sorting by using a Pareto priority sorting method;
s4, adding the non-inferior solutions in the population to the elite set, removing the inferior solutions in the elite set,
s5, carrying out adaptability distribution on the elite concentrated solution according to a congestion distance sorting method, and selecting a global optimal solution according to adaptability probability; updating the position and the speed of the individual according to the individual optimal solution and the selected global optimal solution;
s6, carrying out cross mutation on the solutions in the elite set, and if the obtained new solution dominates the solution in the elite set, replacing the dominated solution with the new solution
S7, if the maximum iteration times is reached, turning to the next step, otherwise, turning to the step 3 to carry out the next iteration;
s8, in order to avoid the influence of human factors on the planning result, a fuzzy membership function is utilized to screen out a final solution from a Pareto solution set; the larger the comprehensive satisfaction obtained by calculating the fuzzy membership function, the better the solution, and the calculation formula is:
In a preferred embodiment, the hydrogen production and hydrogenation station structure electrolyzes water HPRS on-site to produce hydrogen by consuming electricity from the grid and wind farm through an electrolyzer; the produced gaseous low-pressure hydrogen is compressed by a compressor to obtain gaseous high-pressure hydrogen, and the gaseous high-pressure hydrogen is stored in a hydrogen storage tank; when the hydrogen fuel automobile is supplied with fuel by HPRS, the hydrogen in the hydrogen storage tank is pressurized and cooled by the hydrogenation machine to meet the hydrogenation requirement of the hydrogen fuel automobile; the main equipment of HPRS comprises an electrolytic bath, a compressor, a hydrogen storage tank and a hydrogenation machine.
In a preferred embodiment, in the step S8, u ism,iIs the m non-inferior solution, XmSatisfaction with the ith target; f. ofi(xm) Is a non-inferior solution xmThe ith target value of (a);
is the maximum value of the ith target;
is the minimum value of the ith target; u. ofmIs a non-inferior solution xmComprehensive satisfaction of all targets; m is the number of non-inferior solutions; l is the target number.
In a preferred embodiment, the planning method makes three scenarios: taking the annual average scene data as an input condition, taking the minimum economic cost as an optimization target, and carrying out single-target optimization configuration on the equipment capacity; taking annual average scene data as an input condition, and simultaneously considering the economy, high efficiency and safety of planning, carrying out multi-objective optimal configuration on the equipment capacity; : and taking multi-scene data as an input condition, and simultaneously considering the economy, the high efficiency and the safety of planning to perform multi-objective optimal configuration on the equipment capacity.
In a preferred embodiment, the 2 hydrogenation logic rules: rule 1: the shortest distance between the 2 nearest HPRSs is less than the rated driving mileage of the hydrogen fuel automobile; rule 2: at the beginning and end of any trip, a hydrogen storage cylinder of a hydrogen fueled vehicle should store a certain amount of hydrogen gas.
In a preferred embodiment, the gaseous high-pressure hydrogen in the hydrogen storage tank is pressurized and cooled by the hydrogenation machine to form liquid hydrogen, and then the liquid hydrogen is injected into the hydrogen fuel automobile, when direct current flows through the electrolytic tank to form a closed loop, the hydrogen is generated at the cathode, and in order to improve the energy storage density per unit volume of the hydrogen storage tank, the compressor compresses the gaseous low-pressure hydrogen produced by the electrolytic tank into gaseous high-pressure hydrogen.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. in the invention, each device of the optimally configured comprehensive energy system fully plays the function thereof, and basically realizes the simultaneous supply of electricity, heat and hydrogen. In the operation strategy, the fuel cell automobile and the hydrogen station are added into the P2G process, so that the surplus electric energy is effectively utilized. By switching the CHP operation mode, the power output of the power generator can be better matched with the renewable energy, and the energy waste is reduced while the load requirement is met.
2. In the invention, the IES is subjected to multi-objective planning by taking the minimum economic cost, the maximum wind-light absorption rate and the minimum insufficient energy supply as optimization targets, and planning requirements such as economic cost, effective utilization of renewable energy sources and energy supply reliability can be better considered.
3. In the invention, the change of the uncertainty factor can be effectively coped with by considering the limit scene. According to result analysis, the obtained planning scheme has strong adaptability to the output fluctuation of the renewable energy source.
Drawings
FIG. 1 is a flow chart of the HMOPSO algorithm of the present invention;
FIG. 2 is a flow diagram of the hydrogen production and consumption process of the on-site electrolysis of water HPRS according to the invention;
fig. 3 is a system block diagram of an energy system encryption module according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
With reference to figures 1-3 of the drawings,
a planning method and a system based on an electricity-heat-hydrogen comprehensive energy system are provided, wherein the hydrogen production and hydrogenation station structure carries out on-site water electrolysis HPRS to produce hydrogen by consuming electric power from a power grid and a wind power plant through an electrolysis bath; the produced gaseous low-pressure hydrogen is compressed by a compressor to obtain gaseous high-pressure hydrogen, and the gaseous high-pressure hydrogen is stored in a hydrogen storage tank; when the hydrogen fuel automobile is supplied with fuel by HPRS, the hydrogen in the hydrogen storage tank is pressurized and cooled by the hydrogenation machine to meet the hydrogenation requirement of the hydrogen fuel automobile; the HPRS main equipment comprises an electrolytic cell, a compressor, a hydrogen storage tank and a hydrogenation machine, and the planning method makes three schemes: taking the annual average scene data as an input condition, taking the minimum economic cost as an optimization target, and carrying out single-target optimization configuration on the equipment capacity; taking annual average scene data as an input condition, and simultaneously considering the economy, high efficiency and safety of planning, carrying out multi-objective optimal configuration on the equipment capacity; : taking multi-scene data as an input condition, and simultaneously considering the economy, high efficiency and safety of planning, carrying out multi-objective optimal configuration on the equipment capacity; the hydrogenation logic rules of the hydrogenation machine are as follows: rule 1: the shortest distance between the 2 nearest HPRSs is less than the rated driving mileage of the hydrogen fuel automobile; rule 2: at the beginning and end of any trip, a hydrogen storage cylinder of a hydrogen fueled vehicle should store a certain amount of hydrogen gas. The gaseous high-pressure hydrogen in the hydrogen storage tank is pressurized and cooled by the hydrogenation machine to form liquid hydrogen, then the liquid hydrogen is injected into the hydrogen fuel automobile, when direct current flows through the electrolytic tank to form a closed loop, the hydrogen can be generated at the cathode, and in order to improve the energy storage density of the unit volume of the hydrogen storage tank, the compressor compresses the gaseous low-pressure hydrogen produced by the electrolytic tank into gaseous high-pressure hydrogen; the planning method and the system operation based on the electricity-heat-hydrogen comprehensive energy system comprise the following steps:
s1, firstly, setting particle swarm parameters, wherein the parameters are as follows: c1 is c2 is 1.0, the maximum inertia weight coefficient wmax is 0.9, the minimum inertia weight coefficient wmin is 0.1, the maximum flight speed vmax of the particles is 1, the variation probability pm is 0.05, the population number of the particles is 50, and the maximum iteration number is 300;
s2, processing the optimization problem of the electricity-heat-hydrogen comprehensive energy by adopting an improved hybrid multi-objective particle swarm optimization algorithm;
s3, initializing the population, calculating a target function value, and sorting by using a Pareto priority sorting method;
s4, adding the non-inferior solutions in the population to the elite set, removing the inferior solutions in the elite set,
and S5, carrying out adaptability distribution on the elite concentrated solution according to a congestion distance sorting method, and selecting a global optimal solution according to the adaptability probability. Updating the position and the speed of the individual according to the individual optimal solution and the selected global optimal solution;
s6, carrying out cross mutation on the solutions in the elite set, and if the obtained new solution dominates the solution in the elite set, replacing the dominated solution with the new solution
S7, if the maximum iteration times is reached, turning to the next step, otherwise, turning to the step 3 to carry out the next iteration;
and S8, in order to avoid the influence of human factors on the planning result, weighing and screening a final solution from the Pareto solution set by using a fuzzy membership function. The larger the comprehensive satisfaction obtained by calculating the fuzzy membership function, the better the solution, and the calculation formula is:
in step S8, u ism,i is the mth non-inferior solution, XmSatisfaction with the ith target; f. ofi(xm) Is a non-inferior solution xmThe ith target value of (a);
is the maximum value of the ith target;
is the minimum value of the ith target; u. ofmIs a non-inferior solution xmComprehensive satisfaction of all targets; m is the number of non-inferior solutions; and L is the target number, each device of the optimally configured comprehensive energy system fully plays the function of the system, and the simultaneous supply of electricity, heat and hydrogen is basically realized. In the operation strategy, the fuel cell automobile and the hydrogen station are added into the P2G process, so that the surplus electric energy is effectively utilized. By switching CHP operation mode, the method can better and effectivelyThe renewable energy is output to cooperate, the load requirement is met, meanwhile, the energy waste is reduced, the IES is subjected to multi-objective planning by taking the minimum economic cost, the maximum wind-light absorption rate and the minimum insufficient energy supply as optimization targets, the planning requirements such as economic cost, the effective utilization of renewable energy, energy supply reliability and the like can be well considered, and the change of uncertain factors can be effectively coped with by considering limit scenes. According to result analysis, the obtained planning scheme has strong adaptability to the output fluctuation of the renewable energy source.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (6)
1. A planning method and system based on an electricity-heat-hydrogen comprehensive energy system are characterized in that: the planning method and the system operation based on the electricity-heat-hydrogen comprehensive energy system comprise the following steps:
s1, firstly, setting particle swarm parameters, wherein the parameters are as follows: c1 is c2 is 1.0, the maximum inertia weight coefficient wmax is 0.9, the minimum inertia weight coefficient wmin is 0.1, the maximum flight speed vmax of the particles is 1, the variation probability pm is 0.05, the population number of the particles is 50, and the maximum iteration number is 300;
s2, processing the optimization problem of the electricity-heat-hydrogen comprehensive energy by adopting an improved hybrid multi-objective particle swarm optimization algorithm;
s3, initializing the population, calculating a target function value, and sorting by using a Pareto priority sorting method;
s4, adding the non-inferior solutions in the population to the elite set, removing the inferior solutions in the elite set,
s5, carrying out adaptability distribution on the elite concentrated solution according to a congestion distance sorting method, and selecting a global optimal solution according to adaptability probability; updating the position and the speed of the individual according to the individual optimal solution and the selected global optimal solution;
s6, carrying out cross mutation on the solutions in the elite set, and if the obtained new solution dominates the solution in the elite set, replacing the dominated solution with the new solution
S7, if the maximum iteration number is reached, turning to the next step, otherwise, turning to the step S3 to carry out the next iteration;
s8, in order to avoid the influence of human factors on the planning result, a fuzzy membership function is utilized to screen out a final solution from a Pareto solution set; the larger the comprehensive satisfaction obtained by calculating the fuzzy membership function, the better the solution, and the calculation formula is:
2. the method and system for planning an electric-thermal-hydrogen-based integrated energy system according to claim 1, wherein: the hydrogen production and hydrogenation station structure carries out on-site water electrolysis HPRS to produce hydrogen by consuming electric power from a power grid and a wind power plant through an electrolytic cell; the produced gaseous low-pressure hydrogen is compressed by a compressor to obtain gaseous high-pressure hydrogen, and the gaseous high-pressure hydrogen is stored in a hydrogen storage tank; when the hydrogen fuel automobile is supplied with fuel by HPRS, the hydrogen in the hydrogen storage tank is pressurized and cooled by the hydrogenation machine to meet the hydrogenation requirement of the hydrogen fuel automobile; the main equipment of HPRS comprises an electrolytic bath, a compressor, a hydrogen storage tank and a hydrogenation machine.
3. The method and system for planning an electric-thermal-hydrogen-based integrated energy system according to claim 1, wherein: in the above step S8, u ism,iIs the m non-inferior solution, XmSatisfaction with the ith target; f. ofi(xm) Is a non-inferior solution xmThe ith target value of (a); f. ofi maxIs the maximum value of the ith target; f. ofi minIs the minimum value of the ith target; u. ofmIs a non-inferior solution xmComprehensive satisfaction of all targets; m is the number of non-inferior solutions; l is the target number.
4. The method and system for planning an electric-thermal-hydrogen-based integrated energy system according to claim 1, wherein: the planning method makes three schemes: taking the annual average scene data as an input condition, taking the minimum economic cost as an optimization target, and carrying out single-target optimization configuration on the equipment capacity; taking annual average scene data as an input condition, and simultaneously considering the economy, high efficiency and safety of planning, carrying out multi-objective optimal configuration on the equipment capacity; : and taking multi-scene data as an input condition, and simultaneously considering the economy, the high efficiency and the safety of planning to perform multi-objective optimal configuration on the equipment capacity.
5. The method and system for planning an electric-thermal-hydrogen-based integrated energy system according to claim 2, wherein: the hydrogenation logic rules of the hydrogenation machine comprise: rule 1: the shortest distance between the 2 nearest HPRSs is less than the rated driving mileage of the hydrogen fuel automobile; rule 2: at the beginning and end of any trip, a hydrogen storage cylinder of a hydrogen fueled vehicle should store a certain amount of hydrogen gas.
6. The method and system for planning an electric-thermal-hydrogen-based integrated energy system according to claim 2, wherein: the gaseous high-pressure hydrogen in the hydrogen storage tank is pressurized and cooled by the hydrogenation machine to form liquid hydrogen, then the liquid hydrogen is injected into the hydrogen fuel automobile, when direct current flows through the electrolytic tank to form a closed loop, the hydrogen can be generated at the cathode, and in order to improve the energy storage density per unit volume of the hydrogen storage tank, the compressor compresses the gaseous low-pressure hydrogen produced by the electrolytic tank into the gaseous high-pressure hydrogen.
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