CN110474374A - A kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system and capacity optimization method - Google Patents

A kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system and capacity optimization method Download PDF

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CN110474374A
CN110474374A CN201910651152.0A CN201910651152A CN110474374A CN 110474374 A CN110474374 A CN 110474374A CN 201910651152 A CN201910651152 A CN 201910651152A CN 110474374 A CN110474374 A CN 110474374A
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wind
photovoltaic
electricity generation
powered electricity
subsystem
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郭苏
何意
刘群明
裴焕金
阿依努尔
张睿
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Hohai University HHU
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01DNON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
    • F01D15/00Adaptations of machines or engines for special use; Combinations of engines with devices driven thereby
    • F01D15/10Adaptations for driving, or combinations with, electric generators
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D9/00Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/007Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations the wind motor being combined with means for converting solar radiation into useful energy
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D9/00Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/10Combinations of wind motors with apparatus storing energy
    • F03D9/18Combinations of wind motors with apparatus storing energy storing heat
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D9/00Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/20Wind motors characterised by the driven apparatus
    • F03D9/25Wind motors characterised by the driven apparatus the apparatus being an electrical generator
    • F03D9/255Wind motors characterised by the driven apparatus the apparatus being an electrical generator connected to electrical distribution networks; Arrangements therefor
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24SSOLAR HEAT COLLECTORS; SOLAR HEAT SYSTEMS
    • F24S60/00Arrangements for storing heat collected by solar heat collectors
    • F24S60/20Arrangements for storing heat collected by solar heat collectors using chemical reactions, e.g. thermochemical reactions or isomerisation reactions
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/40Solar thermal energy, e.g. solar towers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Sustainable Energy (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Combustion & Propulsion (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • General Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Engine Equipment That Uses Special Cycles (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Wind Motors (AREA)

Abstract

The invention discloses a kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system and capacity optimization methods, the system is by wind-powered electricity generation subsystem, photovoltaic subsystem, electric heater, heat reservoir and matched Steam Turbine are formed, electric heater is mainly used for that the form that extra abandonment electric energy and abandoning photoelectricity can be converted to thermal energy being stored in heat reservoir when system contributes and is greater than workload demand;When system power output is less than workload demand, heat reservoir discharges the power generation of thermal energy pushing turbine group;The present invention maximizes energy utilization rate and channel utilization index is optimization aim, construct fitness function according to the scheduling strategy of system, obtain optimal capacity ratio using differential evolution algorithm solution to minimize levelized cost LCOE.Combined generating system of the invention can effectively adjust wind-powered electricity generation photovoltaic power output, improve channel utilization index and energy utilization rate.

Description

A kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system and capacity optimization method
Technical field
The present invention relates to a kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system and capacity optimization methods, belong to energy source optimization benefit Use technical field.
Background technique
With the development of society, energy problem and environmental problem become focus concerned by people.Thermoelectricity is still at present The maximum forms of electricity generation of accounting, but conventional thermal power station can not only consume a large amount of fossil energy, but also fossil fuel combustion process In generated emission serious pollution can be caused to environment, do not meet " sustainable development " strategy.There is scholar to propose to use Biomass fuel replaces traditional fossil fuel, but biomass fuel supply is limited, and still can arrange in combustion process The greenhouse gases of amplification quantity.Wind-power electricity generation and photovoltaic power generation have become more and more important forms of electricity generation, due to wind, light resource All there is intermittent and unstability, the schedulability and flexibility of individual wind power plant and photovoltaic plant be not high, Er Qieqi The power quality problem of power grid is likely to result in during grid-connected.
Conventional wind-light complementary system is usually using battery group as energy-storage units, but battery group has stringent fill The disadvantages of electric discharge limitation, cycle life is short, expensive, and the relative low price of heat reservoir, and heat reservoir is not only easy It is built in large-scale and heat accumulation efficiency is up to 95%-97%, therefore using heat reservoir as the storage of wind-light complementary system Higher economic benefit may be implemented in energy device.
About the capacity optimization problem of wind-light complementary system, there are many relevant researchs both at home and abroad.Wu Hongbin, Chen Bin, The capacity of hybrid energy-storing unit optimizes [J] Journal of Agricultural Engineering in Guo Caiyun wind and solar hybrid generating system, 2011,27 (04): 241-245 improves the power supply of wind-powered electricity generation-photovoltaic combined generating system using battery-supercapacitor hybrid energy-storing unit can By property, and establish the capacity Optimized model of hybrid energy-storing unit.But use battery-supercapacitor hybrid energy-storing list Member is expensive, is unfavorable for Large scale construction.Wang Le is scared, Wei Zhiyong, Song Jie, Liu Haijun wind-powered electricity generation-water-storage joint system Optimization operation study [J] the power grid and clean energy resource of system, 2014,30 (02): 70-75 has studied wind-powered electricity generation-water-storage mixing hair The behavioral characteristics of electric system, and optimize wind-powered electricity generation-water-storage hybrid power system capacity with genetic algorithm, but draw water Storage station is serious to be limited by geographical conditions.Yang Yong, Guo Su, Liu Qunming, Li Rong wind-powered electricity generation-CSP combined generating system are excellent Change operation study [J] Proceedings of the CSEE, 2018,38 (S1): 151-157 have studied wind-powered electricity generation-photo-thermal combined generating system Scheduling strategy, and propose to reduce abandonment loss using electric heater, improve the reliability of power supply.But this article is mainly ground Study carefully the scheduling strategy of power station combined operating, the economic evaluation before not considering each power plant construction.Photo-thermal power station involves great expense, and collects Thermal field part occupies 50% construction cost, and set forth herein use wind power plant and the extra electric energy of photovoltaic plant to pass through electric heating Device is converted into thermal energy, and as the heat source of heat reservoir, the effect of heat collecting field in photo-thermal power station is replaced with this, can effectively be subtracted The cost of investment of few combined generating system.
Summary of the invention
The purpose of the present invention is to provide a kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system and capacity optimization methods, with most Smallization levelized cost LCOE, maximizing energy utilization rate and channel utilization index is optimization aim, according to the scheduling strategy of system Fitness function is constructed, optimal capacity ratio is obtained using differential evolution algorithm solution, can effectively adjust wind-powered electricity generation photovoltaic Power output improves channel utilization index and energy utilization rate.
In order to achieve the above objectives, the technical solution adopted in the present invention is as follows:
A kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system, by wind-powered electricity generation subsystem, photovoltaic subsystem, electric heater, heat accumulation System and Steam Turbine are constituted;The wind-powered electricity generation subsystem generates electricity to generate electricity after over commutation with photovoltaic subsystem and can share directly Bus is flowed, then by inversion, is connected to the grid after boosting;
The heat reservoir includes cold tank, hot tank and conveyance conduit;The cold tank is used to store 288 DEG C of cold salt, institute Hot tank is stated for storing 565 DEG C of hot salt;The cold salt stored in the cold tank is transported in electric heater through conveyance conduit to be heated It is transported in hot tank after to 565 DEG C;The hot salt stored in the hot tank and the device of working medium in Steam Turbine are transported to cold after exchanging heat Tank;
The heat reservoir is for by the fluctuation electric energy of wind-powered electricity generation subsystem and photovoltaic subsystem and beyond channel capacity Electric energy is stored in hot salt in the form of thermal energy, when the output electric energy deficiency channel capacity of wind-powered electricity generation subsystem and photovoltaic subsystem When, heat reservoir discharges thermal energy to which pushing turbine group generates electricity;
The Steam Turbine is by preheater, evaporator, superheater, reheater, high pressure cylinder, low pressure (LP) cylinder, oxygen-eliminating device, condenser It is constituted with generating set;The Steam Turbine is used for when combined generating system power output is less than burden requirement, by the storage Thermal energy in hot systems is converted to power output to power grid;
The electric heater is used to the electric energy that wind-powered electricity generation subsystem and photovoltaic subsystem are more than channel capacity being converted to heat The form of energy is stored in heat reservoir.
Electric heater above-mentioned uses 4160V medium voltage network.
Heat reservoir release thermal energy above-mentioned generates electricity to pushing turbine group, comprising:
Hot salt in the hot tank of heat reservoir successively passes through superheater, evaporator, preheater, by thermal energy with the side of convective heat transfer Formula passes to device of working medium, is then return in the cold tank of heat reservoir;Device of working medium successively passes through preheater, evaporator, superheater with It is converted into the steam of high temperature and pressure after hot salt heat exchange, the wheel rotation in high pressure cylinder and low pressure (LP) cylinder is pushed, to push power generation Unit generation.
A kind of capacity optimization method of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system, comprising:
(1) optimization aim is established;The combined generating system is minimized with levelized cost, channel utilization index maximize and Energy utilization rate maximum turns to optimization aim;
(2) optimization aim fitness function is constructed;
(3) program code that fitness function is write in application software is write solution based on differential evolution algorithm and is adapted to Spend the program code of function;
(4) program code for solving fitness function is run multiple times, obtains the optimal capacity under Different Optimization weight Proportion.
Levelized cost calculation formula above-mentioned is as follows:
Wherein, LCOE indicates levelized cost, ICw, ICtes, ICpvAnd ICEHRespectively indicate wind-powered electricity generation subsystem, heat reservoir, The initial outlay cost of photovoltaic subsystem and electric heater, ACw, ACtes, ACpvAnd ACPBRespectively indicate wind-powered electricity generation subsystem, heat accumulation system System, the annual cost of investment of photovoltaic subsystem and Steam Turbine, Ew, EPBAnd EpvRespectively indicate wind-powered electricity generation subsystem, Steam Turbine With the first annual electricity generating capacity of photovoltaic subsystem, dw, dcspAnd dpvWind-powered electricity generation subsystem is respectively indicated, Steam Turbine and photovoltaic subsystem are every The attenuation rate in year, i indicate discount rate, and N indicates life expectancy.
Channel utilization index above-mentioned refers to the ratio of the total electricity volume of combined generating system and annual channel capacity.
Energy utilization rate above-mentioned refers to the ratio of combined generating system total electricity volume and system gross capability.
Fitness function above-mentioned are as follows:
Wherein, Fitness indicates fitness function, ω1, ω2, ω3The optimization weight of three optimization aims is respectively indicated, Rate_way is channel utilization index, and rate_energy is energy utilization rate.
In optimization process above-mentioned, operation
[Xm, Fv]=DE (@Fitness, S, c1, c2, w, D, M),
Wherein, Xm is optimal capacity ratio, and Fv is adaptive optimal control degree functional value, and S is initial population number, and c1, c2 are study The factor, D are solution vector dimension, and w is inertia weight, and M is iterative steps;
The solution vector is by wind-powered electricity generation subsystem, photovoltaic subsystem capacity, heat accumulation duration and Steam Turbine capacity structure At four dimensional vectors.
Initial population above-mentioned is made of multiple four-dimensional vectors being randomly generated.
The beneficial effects obtained by the present invention are as follows are as follows:
Combined generating system of the invention can effectively adjust wind-powered electricity generation photovoltaic power output, and improving channel utilization index and the energy makes With rate.
Combined generating system of the invention can effectively reduce the abandonment loss of wind power plant and the abandoning light loss of photovoltaic plant It loses.
Cost of investment can be effectively reduced compared to wind-powered electricity generation-photo-thermal association system in combined generating system of the invention, tool There is higher economic benefit.
Association system of the invention can efficiently use the Steam Turbine of small thermal power station, reduce fossil energy use and The discharge of pollutant.
Detailed description of the invention
Fig. 1 is wind-powered electricity generation-photovoltaic of the invention-heat accumulation combined generating system structural block diagram.
Fig. 2 is the assessment curve of apoplexy of embodiment of the present invention resource data.
Fig. 3 is the assessment curve of light resource data in the embodiment of the present invention.
Fig. 4 is wind-powered electricity generation power curve in the embodiment of the present invention.
Fig. 5 is photovoltaic power curve in the embodiment of the present invention.
Fig. 6 is the optimizing path in the embodiment of the present invention under Different Optimization weight;Fig. 6 (a) is ω1=0.2, ω2=0.6, ω3=0.2 optimizing path;Fig. 6 (b) is ω1=0.2, ω2=0.5, ω3=0.3 optimizing path;Fig. 6 (c) is ω1= 0.2, ω2=0.4, ω3=0.4 optimizing path;Fig. 6 (d) is ω1=0.3, ω2=0.4, ω3=0.3 optimizing path;Figure 6 (e) be ω1=0.4, ω2=0.3, ω3=0.3 optimizing path;Fig. 6 (f) is ω1=0.6, ω2=0.2, ω3=0.2 Optimizing path.
Fig. 7 is that typical day in the four seasons, whether there is or not energy storage wind-powered electricity generation-photovoltaic combined generating system power output comparisons in the embodiment of the present invention;Figure 7 (a) represent daily output comparison for spring;Fig. 7 (b) is to represent daily output comparison summer;Fig. 7 (c) is to represent daily output pair in autumn Than;Fig. 7 (d) is to represent daily output comparison winter.
Specific embodiment
The invention will be further described below.Following embodiment is only used for clearly illustrating technical side of the invention Case, and not intended to limit the protection scope of the present invention.
The present invention provides a kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system, and referring to Fig. 1, the combined generating system is by wind-powered electricity generation Subsystem, photovoltaic subsystem, electric heater, heat reservoir and matched Steam Turbine are formed.Wind-powered electricity generation subsystem and photovoltaic Subsystem is the main generator unit of combined generating system, wind-powered electricity generation subsystem generate electricity can after over commutation with photovoltaic subsystem institute Power generation energy general DC busbar is connected to the grid after boosting then by inversion.
Heat reservoir includes cold tank, hot tank, heat-conducting work medium (fuse salt), heat accumulation working medium (fuse salt) and conveyance conduit institute Composition, the main function of heat reservoir are the power output periods for adjusting combined generating system, and gentle system goes out fluctuation.
Fuse salt is mainly by 60%NaNO3And 40KNO3It is formed;The cold tank of heat reservoir is used to store 288 DEG C of cold salt, Hot tank is used to store 565 DEG C of hot salt;The fuse salt stored in cold tank is after pipeline is heated to 565 DEG C into electric heater It is transported in hot tank;It is transported in cold tank after device of working medium heat exchange in the fuse salt and Steam Turbine stored in hot tank.
Heat reservoir as a storage element, can by the fluctuation electric energy of wind-powered electricity generation subsystem and photovoltaic subsystem and Electric energy beyond channel capacity is stored in heat accumulation working medium in the form of thermal energy, defeated when wind-powered electricity generation subsystem and photovoltaic subsystem Out when electric energy deficiency channel capacity, heat reservoir can discharge the thermal energy in heat accumulation working medium to pushing turbine group generate electricity, because This heat reservoir can play the adjustment power output period, gentle processing fluctuation, to improve energy utilization rate and channel utilization index Effect.
Steam Turbine is by preheater, evaporator, superheater, reheater, high pressure cylinder HP, low pressure (LP) cylinder LP, oxygen-eliminating device, condensation Device, the composition such as heater (H1-H4) and generating set, the main function of Steam Turbine are when system power output is less than burden requirement When, the thermal energy in heat reservoir is converted to power output to power grid by Steam Turbine.
Fuse salt in the hot tank of heat reservoir successively passes through superheater, evaporator, preheater, by thermal energy with convective heat transfer Mode passes to device of working medium, is then return in the cold tank of heat reservoir.Device of working medium successively passes through preheater, evaporator, superheater Steam with high temperature and pressure is converted into after fuse salt heat exchange, pushes the wheel rotation in high pressure cylinder HP and low pressure (LP) cylinder LP, thus Generating set power generation is driven, the process that the thermal energy in heat reservoir is converted to electric energy is realized.
The effect of preheater is that device of working medium is preheating to certain temperature, and the effect of evaporator is to be heated to being saturated by device of working medium Steam, the effect of superheater are that saturated vapor is heated to superheated steam, and the effect of reheater is to improve turbine low pressure cylinder Vapor (steam) temperature, the effect of oxygen-eliminating device remove the oxygen in preheater entrance device of working medium, and the effect of condenser is low pressure (LP) cylinder Mouthful place steam condensation Cheng Shui, high pressure cylinder HP and low pressure (LP) cylinder LP under the promotion of steam wheel rotation so that generating set be driven to send out Electricity, the effect of heater H1-H4 are that the device of working medium of high pressure cylinder and low pressure (LP) cylinder exit is heated to certain temperature.
Electric heater be using the Joule effect of electric current by the fluctuation electric energy of wind-powered electricity generation subsystem and photovoltaic subsystem and Extra electric energy is used to heat the cold salt in heat reservoir, is delivered in hot tank after being heated to 565 DEG C, to realize electric energy to heat The process that can be converted.Heat source of the electric heater as heat reservoir can not only efficiently reduce abandonment and abandon light loss, Er Qieke So that system has higher energy utilization rate and channel utilization index.
Electric heater uses 4160V medium voltage network in present system, compared to traditional 480V low-pressure system, middle pressure system System electric heater can reduce the power loss in heating process, reduce installation, the expense in operation and maintenance, to effectively subtract The cost of investment of few system.
The present invention also provides a kind of capacity optimization methods of combined generating system, including following components:
One, optimization object function is constructed
The capacity optimization of combined generating system of the invention is to minimize levelized cost LCOE and maximize channel Utilization rate and energy utilization rate are target.
Shown in the calculating of levelized cost such as formula (1):
Wherein, ICw, ICtes, ICpvAnd ICEHRespectively indicate wind power plant, heat reservoir, photovoltaic plant and electric heater just Beginning cost of investment mainly includes the buying of electrification component, power station auxiliary facility, land charges and expense for construction;ACw, ACtes, ACpvAnd ACPBWind power plant, heat reservoir are respectively indicated, the annual cost of investment of photovoltaic plant and Steam Turbine is mainly transported Row maintenance cost and insurance premium are usually calculated with the percentage of initial outlay cost;Ew, EPBAnd EpvWind power plant is respectively indicated, The first annual electricity generating capacity of Steam Turbine and photovoltaic plant;dw, dcspAnd dpvWind power plant is respectively indicated, Steam Turbine and photovoltaic plant are every The attenuation rate (attenuation rate of wind power plant and Steam Turbine is negligible) in year;I indicates discount rate, usually takes 0.08;N is indicated Life expectancy usually takes 25 years.
Channel utilization index rate_way refers to the ratio of the total electricity volume of system and annual channel capacity.
Energy utilization rate rate_energy refers to the ratio of system total electricity volume and system gross capability.
Shown in the fitness function of the optimization problem such as formula (2):
Wherein, ω1, ω2, ω3The optimization weight of each optimization aim is respectively indicated, optimization weight can be according to different optimization Demand is adjusted, to obtain the optimal solution for being adapted to different scenes.
Two, the optimal capacity ratio for obtaining combined generating system is solved using differential evolution algorithm
Differential evolution algorithm is a kind of heuristic intelligent search algorithm, mainly includes initialization group, makes a variation, intersects, Select Four processes.
(1) group is initialized
The group of differential evolution algorithmAs t=0, P0As initial population.It is initial generally for making Group P0Entire region of search is covered as far as possible, to P0In any solution vectorIn each element value by formula (5.1) random to determine:
In formula, randI, j(0,1) is to meet equally distributed random number on [0,1].
(2) it makes a variation
The basic principle of the mutation process of differential evolution algorithm is by the difference vector warp of any two random vector in group It sums after crossing certain scaling with third vector, variation principle is shown in formula (4).
In formula, xr1, xr2And xr3For three random individuals mutually different in group,For the new individual after variation, F table Show zoom factor, its usual value range is [0,1].
(3) intersect
The crossover process of differential evolution algorithm be individual after making a variation with former target individual in the way of discrete recombination Generating new offspring individual, that is, some members for being exchanged with each other variation individual and former target individual usually increase the diversity of population, Intersect shown in principle such as formula (5).
In formula,For the new individual after crossover operation,For variation individual,For former target individual;CR indicates to intersect Probability usually takes [0,1];J is the random number on [1, n], and sn is the random integers on [1, n].
(4) it selects
The selection course of differential evolution determines the Evolutionary direction of entire population, so that population is constantly forced to optimal solution Closely.Selection course follows the principle of the survival of the fittest, when make a variation crossover operation after individualFitness value be better than former target individualWhen, then with individualTo substitute former target individualIt is on the contrary then retain former target individual into the evolutional operation of subsequent timeShown in the principle of selection course such as formula (6).
In formula, f (x) indicates fitness function, is used to evaluate superiority and inferiority individual in population.
In MATLAB software, fitness function Fitness is write according to the scheduling strategy of combined generating system, according to difference The process and principle of point evolution algorithm write optimization algorithm DE, then run [Xm, Fv]=DE (@Fitness, S, c1, c2, w, D, M), wherein Xm is optimal capacity ratio, and Fv is adaptive optimal control degree functional value, and S is initial population number, usually takes 50-100, C1, c2 are Studying factors, usually take 0.5-2.5;W is inertia weight, usually takes 0.1-0.9;D is search space dimension, according to Depending on the dimension of solution vector;M is iterative steps, usually takes 10-100.
For the present invention, the solution vector of optimization problem of the invention be (wind-powered electricity generation capacity, photovoltaic capacity, heat accumulation duration, Steam turbine capacity) it is four dimensional vectors, therefore search space dimension D=4.
It is random in set by the initial population for the set as optimization problem that multiple four-dimensional vectors being randomly generated form The number of vector is initial population number S.
Under MATLAB environment after test of many times, the optimal capacity ratio under Different Optimization weight is obtained.
Embodiment
The embodiment of the present invention sets wind-light complementary system for Pakistani somewhere (25 ° of 04 ' N, 67 ° of 56 ' E) is proposed to fill Divide the channel capacity using 100MW, according to light provided by wind-resources data provided by local anemometer tower and solargis Resource data predicts wind power output and photovoltaic power output.It is optimal that the present invention calculates wind-powered electricity generation-photovoltaic-heat accumulation combined generating system first Then capacity ratio is compareed with the system of identical wind-powered electricity generation photovoltaic capacity (no heat accumulation), compares it in levelized cost, channel Difference in utilization rate and energy utilization rate verifies wind-powered electricity generation-photovoltaic-heat accumulation combined generating system feasibility and superiority.
(1) data preparation is carried out
The net assessment of wind-resources data in 2016 is provided as shown in Fig. 2, whole year in 2016 according to this area's anemometer tower Mean wind speed be 6.43m/s, average wind power concentration is 262.9w/m2, wind-resources are relatively abundant.
It includes directly radiating DNI (Direct that sun total level, which radiates GHI (Global Horizontal Irradiance), Normal Irradiance) and levels of scatter radiation DHI (Diffuse Horizontal Irradiance).Photovoltaic plant can It is generated electricity using direct radiation DNI and scattering radiation DHI.
The net assessment of the light resource data of the 1999-2017 according to provided by solargis is as shown in Figure 3.Area, this area Average year global radiation is 2091.8W/m2, average scattering radiation is 930.7W/m2, average direct solar radiation is 1161.1W/m2
(2) power output prediction
(21) wind power output
The unit MW wind power output curve being calculated according to wind-resources data and wind-powered electricity generation model is as shown in Figure 4.
(22) photovoltaic is contributed
The unit MW photovoltaic power curve being calculated according to light resource data and photovoltage model is as shown in Figure 5.
(3) optimum results
(31) SAM software is referred to, it is as shown in table 1 to calculate economy parameter used in levelized cost.
1 economy parameter of table
Wind-powered electricity generation Photovoltaic Heat accumulation Steam Turbine Electric heater
Initial cost 1695$/kW 1040$/kW 35000000 yuan/h 6000 yuan/kW 528655$
O&M cost 51$/kW 9$/kW 100000 yuan/h 75 yuan/kW 12550$
Generated energy decaying 0 0.8% 0 0 0
Rate for incorporation into the power network 0.5 yuan/kWh 0.4 yuan/kWh 0 1.15 yuan/kWh 0
(remarks: heat accumulation cost is directed to 100MW Steam Turbine, and the rate for incorporation into the power network of steam turbine power generation refers to photo-thermal power station)
(32) the initial population N=50 in differential evolution algorithm, Studying factors c1=c2=2.0, inertia weight w=are determined 0.5, search space dimension D=4, iterative steps M=20, the optimum results obtained according to Different Optimization weight are as shown in table 2.
2 optimum results of table
Shown in optimizing path such as Fig. 6 (a)-Fig. 6 (f) of Different Optimization weight.
According to optimum results it is found that when the optimization weight of channel utilization index rate_way is larger, heat reservoir and mating Steam Turbine capacity it is larger;When the optimization weight of levelized cost LCOE is larger, the capacity of heat reservoir is smaller.Work as wind When the optimizing capacity of electrical-optical volt is smaller, energy utilization rate rate_energy is larger, because channel capacity is larger, wind power plant and light Overhead utility, which generates electricity, can be dissolved by passway for transmitting electricity.
(33) interpretation of result is compared with
The major function of heat reservoir and mating Steam Turbine is to adjust wind in wind-powered electricity generation-photovoltaic-heat accumulation combined generating system The power output of electric light volt improves channel utilization index and energy utilization rate, therefore chooses channel utilization index and energy utilization rate optimization power The biggish three groups of proportion optimizing results of weight are compared with wind-powered electricity generation-photovoltaic without heat reservoir, compare its levelized cost, channel benefit With rate and energy utilization rate, specific data comparison is shown in Table 3.
3 wind-powered electricity generations of table-photo-thermal-heat accumulation combined generating system and no energy-storage system parameter comparison
It is shown according to table 3, due to being added to electric heater in wind-powered electricity generation-photovoltaic-heat accumulation combined generating system, heat reservoir, The subsystems such as Steam Turbine, corresponding levelized cost also have certain rising, but for the width of Different Optimization result rising Degree is respectively 9.7%, 5.8% and 9.6%, and the following heat reservoir, the cost of electric heater have a declining tendency, and And Steam Turbine can use the Steam Turbine for rectifying and improving small thermal power station, can greatly reduce cost of investment, so that levelized Cost has a sharp decline, therefore the economy for increasing heat reservoir and attached equipment has preferable prospect.
After increasing heat reservoir, the channel utilization index and energy utilization rate of combined generating system have obtained mentioning significantly It rises, channel utilization index rises 6%, 5% and 3% respectively, and energy utilization rate rises 6%, 6%, 4% respectively;Effectively subtract Abandonment is lacked and has abandoned light loss, total practical electricity volume of system increases 3.96*107kWh;And generate electricity can matter for Steam Turbine The problems such as amount is high, not will cause voltage ripple of power network when grid-connected, frequency flickering, has more preferably power grid friendly.
Compare the wind-powered electricity generation-photovoltaic-heat accumulation combined generating system and wind electrical-optical that each season in 1 year represents day by analyzing The power output situation without energy-storage system is lied prostrate, for showing the power regulation effect of electric heater and heat reservoir.(select ω1=0.2, ω2=0.6, ω3=0.2 optimum results) comparison of power output situation is as shown in Figure 7.
It can be apparent from according to Fig. 7 (a)-Fig. 7 (d), compared to wind-powered electricity generation-photovoltaic without energy-storage system, wind-powered electricity generation-photovoltaic-storage Heat integration electricity generation system can preferably utilize channel capacity, there is higher channel utilization index and energy utilization rate.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.

Claims (10)

1. a kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system, which is characterized in that by wind-powered electricity generation subsystem, photovoltaic subsystem, electricity adds Hot device, heat reservoir and Steam Turbine are constituted;The wind-powered electricity generation subsystem generates electricity and can be sent out after over commutation with photovoltaic subsystem Electric energy general DC busbar is connected to the grid after boosting then by inversion;
The heat reservoir includes cold tank, hot tank and conveyance conduit;The cold tank is used to store 288 DEG C of cold salt, the heat Tank is used to store 565 DEG C of hot salt;The cold salt stored in the cold tank is transported in electric heater through conveyance conduit is heated to 565 It is transported to after DEG C in hot tank;Cold tank is transported to after device of working medium heat exchange in the hot salt and Steam Turbine stored in the hot tank;
The heat reservoir is for by the fluctuation electric energy of wind-powered electricity generation subsystem and photovoltaic subsystem and beyond the electric energy of channel capacity It is stored in the form of thermal energy in hot salt, when the output electric energy deficiency channel capacity of wind-powered electricity generation subsystem and photovoltaic subsystem, Heat reservoir discharges thermal energy to which pushing turbine group generates electricity;
The Steam Turbine is by preheater, evaporator, superheater, reheater, high pressure cylinder, low pressure (LP) cylinder, oxygen-eliminating device, condenser and hair Motor group is constituted;The Steam Turbine is used for when combined generating system power output is less than burden requirement, by the heat accumulation system Thermal energy in system is converted to power output to power grid;
The electric heater is used to the electric energy that wind-powered electricity generation subsystem and photovoltaic subsystem are more than channel capacity being converted to thermal energy Form is stored in heat reservoir.
2. a kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system according to claim 1, which is characterized in that the electric heating Device uses 4160V medium voltage network.
3. a kind of wind-powered electricity generation-photovoltaic-heat accumulation combined generating system according to claim 1, which is characterized in that the heat accumulation system System release thermal energy generates electricity to pushing turbine group, comprising:
Hot salt in the hot tank of heat reservoir successively passes through superheater, evaporator, and preheater passes thermal energy in a manner of convective heat transfer Device of working medium is passed, is then return in the cold tank of heat reservoir;Device of working medium successively passes through preheater, evaporator, superheater and hot salt It is converted into the steam of high temperature and pressure after heat exchange, the wheel rotation in high pressure cylinder and low pressure (LP) cylinder is pushed, thus pushing generator group Power generation.
4. based on wind-powered electricity generation-photovoltaic-heat accumulation combined generating system capacity optimization method described in claims 1 to 3 any one, It is characterised by comprising:
(1) optimization aim is established;The combined generating system is minimized with levelized cost, and channel utilization index maximizes and the energy Utilization rate maximum turns to optimization aim;
(2) optimization aim fitness function is constructed;
(3) program code that fitness function is write in application software is write based on differential evolution algorithm and solves fitness letter Several program codes;
(4) program code for solving fitness function is run multiple times, obtains the optimal capacity ratio under Different Optimization weight.
5. capacity optimization method according to claim 4, which is characterized in that the levelized cost calculation formula is as follows:
Wherein, LCOE indicates levelized cost, ICw, ICtes, ICpvAnd ICEHRespectively indicate wind-powered electricity generation subsystem, heat reservoir, photovoltaic The initial outlay cost of subsystem and electric heater, ACw, ACtes, ACpvAnd ACPBRespectively indicate wind-powered electricity generation subsystem, heat reservoir, The annual cost of investment of photovoltaic subsystem and Steam Turbine, Ew, EPBAnd EpvRespectively indicate wind-powered electricity generation subsystem, Steam Turbine and light Lie prostrate the first annual electricity generating capacity of subsystem, dw, dcspAnd dpvRespectively indicate wind-powered electricity generation subsystem, Steam Turbine and photovoltaic subsystem are annual Attenuation rate, i indicate discount rate, and N indicates life expectancy.
6. capacity optimization method according to claim 4, which is characterized in that the channel utilization index refers to cogeneration system The ratio of total electricity volume of uniting and annual channel capacity.
7. capacity optimization method according to claim 4, which is characterized in that the energy utilization rate refers to cogeneration system The ratio for the total electricity volume and system gross capability of uniting.
8. capacity optimization method according to claim 4, which is characterized in that the fitness function are as follows:
Wherein, Fitness indicates fitness function, ω1, ω2, ω3Respectively indicate the optimization weight of three optimization aims, rate_ Way is channel utilization index, and rate_energy is energy utilization rate.
9. capacity optimization method according to claim 4, which is characterized in that in optimization process, operation
[Xm, Fv]=DE (@Fitness, S, c1, c2, w, D, M),
Wherein, Xm is optimal capacity ratio, and Fv is adaptive optimal control degree functional value, and S is initial population number, and c1, c2 are Studying factors, D is solution vector dimension, and w is inertia weight, and M is iterative steps;
The solution vector is the photovoltaic subsystem capacity by wind-powered electricity generation subsystem, what heat accumulation duration and Steam Turbine capacity were constituted Four dimensional vectors.
10. capacity optimization method according to claim 9, which is characterized in that initial population is by multiple four be randomly generated Dimensional vector composition.
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