CN107069783A - Heat storage electric boiler merges energy-storage system optimal control method - Google Patents
Heat storage electric boiler merges energy-storage system optimal control method Download PDFInfo
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- CN107069783A CN107069783A CN201710031302.9A CN201710031302A CN107069783A CN 107069783 A CN107069783 A CN 107069783A CN 201710031302 A CN201710031302 A CN 201710031302A CN 107069783 A CN107069783 A CN 107069783A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
Abstract
A kind of heat storage electric boiler merges energy-storage system optimal control method, belongs to Power System and its Automation technical field.The purpose of the present invention be by when one heat storage electric boiler of design merge the model of energy-storage system and realize that the heat storage electric boiler for the optimum control that energy-storage system is merged to heat storage electric boiler merges energy-storage system optimal control method.The present invention step be：Set up the mathematical modeling of heat storage electric boiler fusion energy-storage system optimal control, obtain the wind power prediction information of wind power plant, so obtain abandon wind power prediction information, the mathematical modeling and step 2 that are obtained using step 1 are obtained abandons wind power；Consider the constraints that step 1 is mentioned, solution is optimized to hybrid system using particle cluster algorithm.The present invention can be integrated in the system that heat storage electric boiler merges energy storage hybrid system control centre, realize the optimal control to whole system, taken into account to dissolve and abandoned wind maximization and electrode boiler regulation number of times regulation minimum, realize that hybrid system economic stability is run.
Description
Technical field
The invention belongs to Power System and its Automation technical field.
Background technology
China's Wind Power Generation Industry is quickly grown, and installed capacity of wind-driven power occupies first place in the world, but wind-powered electricity generation abandons wind outstanding problem at present, especially
It is power network " three Norths " area based on thermoelectricity, and Flexible Power Grid is poor.During heating in the winter time, northern area thermoelectricity unit
" electricity determining by heat " is run, and it is large-scale " abandoning wind " that the downward peak modulation capacity deficiency of unit further results in the night dip period.How
Wind-powered electricity generation of dissolving has become one of key issue of restriction China wind-power electricity generation development.To solve the problems, such as the wind electricity digestion of China,
Country has put into effect a series of measures, clearly proposes that to attempt popularization abandons wind electric heat supply, promotes conversion of the electric load to thermic load.
Abandon wind electric in addition, aiding in dissolving using energy storage technology and also widely paid close attention to.
The economy and scheduling controlling technology that existing literature improves wind power plant wind-powered electricity generation on-site elimination to heat storage electric boiler are entered
More in-depth study is gone, it was demonstrated that dissolved using heat storage electric boiler technology and abandon the application prospect of wind.Also there is document proposition
Hybrid system is constituted using energy storage fusion heat storage electric boiler, simulation analysis are carried out by target of the Income Maximum of system, are demonstrate,proved
Understand the economic feasibility of hybrid system.But, heat storage electric boiler tracking is not accounted in existing literature and abandons wind changed power
Regulating power problem.The electrode of conventional heat storage electric boiler can realize that power is continuously adjusted at present, but its regulation speed
Degree and regulation number of times are restricted by electrode mechanical part.Quickly, frequently power adjusting will seriously damage heat storage electric boiler
Service life.How to control energy storage mixed heat accumulation formula grill pan furnace system, maximize its dissolve wind-powered electricity generation while, reduce its Machinery Ministry
Part moves number of times and then extension device service life, as study hotspot at present.
The content of the invention
The purpose of the present invention is to be realized by designing the model of a heat storage electric boiler fusion energy-storage system to accumulation of heat
The heat storage electric boiler fusion energy-storage system optimal control method of the optimum control of formula electric boiler fusion energy-storage system.
The present invention step be：
Step 1, the mathematical modeling for setting up heat storage electric boiler fusion energy-storage system optimal control：
Step 101：Set up hybrid system and dissolve and abandon wind-powered electricity generation figureofmerit：
（1）
W s t FortPeriod wind power plant abandons wind-powered electricity generation amount using what heat storage electric boiler and electrochemical energy storage were dissolved；
Step 102：Set up heat storage electric boiler regulation number of times index：
（2）
TaptFor heat storage electric boiler the t periods power gear；
Step 103：According to the difference of dimension between each object function, membership function is constructed respectively to each target, by it
The satisfaction to optimum results is converted into, corresponding function is：
（3）
（4）
For to abandon the value that wind is dissolved when being target to the maximum；During for target minimum with boiler gear regulation number of times
Value；The acceptable flexible value of wind is abandoned to dissolve；The acceptable flexible value of number of times is adjusted for boiler gear；For mixed stocker
System, which is dissolved, abandons wind total electricity；Number of times is always adjusted for heat storage electric boiler；
Step 104：Set up the evaluation function that heat storage electric boiler merges each index of energy-storage system：
（5）
k1、k2For the weight coefficient of each several part, and meet；Wind membership function is abandoned to dissolve；To adjust
Save number of times membership function；
Step 105：The constraints for merging energy-storage system optimization using heat storage electric boiler is defined to above-mentioned various indexs
Constraint；
Step 2：The wind power prediction information of wind power plant is obtained, and then wind power prediction information is abandoned in acquisition；
Step 3：What the mathematical modeling and step 2 obtained using step 1 was obtained abandons wind power；Consider the constraint that step 1 is mentioned
Condition, solution is optimized to hybrid system using particle cluster algorithm：
Step 301 initializes population, and described population is made up of multiple particles, and the value of each particle is in the range of restriction
Randomly generate；
The object function of step 1 mathematical modeling is imported algorithm by step 302, as the object function of algorithm, in steps for importing 2
What is obtained abandons wind power prediction information, as abandoning wind constraint qualification condition；
Step 303 starts iteration, calculates the comprehensive fitness degree of each particle in population, do not meet the particle of constraints according to
Punished according to penalty function, the particle for taking comprehensive fitness degree maximum is compared with current optimal particle, makes comprehensive fitness degree larger
Particle is standard optimal particle；
Step 304 is iterated after renewal according to following formula to each particle in population, return to step 303；
（15）
（16）
K is iterations；W is the inertia weight factor；、For the random number between 0 ~ 1；、For Studying factors（Accelerate
The factor）；ForSpeed of the individual particle in kth time iteration；ForIndividual particle position in kth time iteration；The optimal solution found for particle itself；The optimal solution found for particle in colony；
When step 304 iterations reaches maximum, iteration terminates, obtain the objective satisfaction degree of hybrid system two it is maximum when most
Excellent control mode.
The present invention adjusts the minimum object function of number of times so that wind electricity digestion is maximum with electrode boiler, it is considered to abandon wind constraint, work(
Rate Constraints of Equilibrium, equipment state constraint, the constraint of heat supply contract and boiler power constraint, realize and heat storage electric boiler are merged
The optimum control of energy-storage system.In the system that heat storage electric boiler fusion energy storage hybrid system control centre can be integrated in, realize
Optimal control to whole system, takes into account to dissolve and abandons wind maximization and electrode boiler regulation number of times regulation minimum, realize and mix
Systematic economy stable operation.
Brief description of the drawings
Fig. 1 is present invention process flow chart；
Fig. 2 be this example use abandon wind power curve；
Fig. 3 is the corresponding membership function of two targets；
Fig. 4 is heat storage electric boiler operation power gear after optimization；
Fig. 5 is heat-accumulator tank day part quantity of heat storage；
Fig. 6 is energy-storage battery day part operation power；
Fig. 7 is energy-storage battery day part reserve of electricity；
Fig. 8 be this method propose control method dissolve abandon wind signal.
Embodiment
The present invention step be：
Step 1, the mathematical modeling for setting up heat storage electric boiler fusion energy-storage system optimal control：
Step 101：Set up hybrid system and dissolve and abandon wind-powered electricity generation figureofmerit：
（1）
W s t FortPeriod wind power plant abandons wind-powered electricity generation amount using what heat storage electric boiler and electrochemical energy storage were dissolved.
Step 102：Set up heat storage electric boiler regulation number of times index：
（2）
TaptFor heat storage electric boiler the t periods power gear.Examples below is by 30MW electrode boilers according to every mono- work(of 5MW
Rate gear is divided into 7 gears from 0 to 30MW.
Step 103：According to the difference of dimension between each object function, membership function is constructed respectively to each target,
It is translated into the satisfaction to optimum results, it is intended on the premise of meeting institute's Prescribed Properties, to cause comprehensive satisfaction to reach
To maximum.Corresponding function is：
（3）
（4）
For to abandon the value that wind is dissolved when being target to the maximum；During for target minimum with boiler gear regulation number of times
Value；The acceptable flexible value of wind is abandoned to dissolve；The acceptable flexible value of number of times is adjusted for boiler gear；For mixing
System, which is dissolved, abandons wind total electricity；Number of times is always adjusted for heat storage electric boiler.As shown in Figure 3.
Step 104：Set up the evaluation function that heat storage electric boiler merges each index of energy-storage system：
（5）
k1、k2For the weight coefficient of each several part, and meet；Wind membership function is abandoned to dissolve；For
Adjust number of times membership function.
Step 105：The constraints for merging energy-storage system optimization using heat storage electric boiler is carried out to above-mentioned various indexs
Limit constraint.Specifically include and abandon wind constraint, power-balance constraint, equipment state constraint, boiler power constraint and heat supply contract about
Beam.
The constraints of described heat storage electric boiler fusion energy-storage system optimization is：
Set up heat storage electric boiler fusion energy-storage system optimization constraints, specifically include abandon wind constraint, power-balance constraint,
Equipment state constraint, boiler power constraint and the constraint of heat supply contract.
Wherein, abandoning wind constraints is：
（6）
WhereinW qf t Wind-powered electricity generation amount is abandoned for the t periods,W s t Dissolved for system and abandon wind-powered electricity generation amount and can be further represented as
（7）
W g t FortIt is used for heating electric boiler in period directly to the electricity of pipe network heat supply；W qi t FortPeriod is used for heating electric boiler
The electricity of heat-accumulator tank heat accumulation；W ci t FortThe electricity of period electrochemical energy storage charging.
Power-balance constraint is：
（8）
（9）
Q c t FortThe quantity of heat storage of period heat-accumulator tank；Q qi t FortThe heat that period boiler is stored in heat-accumulator tank；Q qo t FortPeriod accumulation of heat
The heat of tank release；W c t FortThe electricity of period electrochemical energy storage；W ci t FortPeriod electrochemical energy storage charge capacity；Wco tFortWhen
Section electrochemical energy storage discharge electricity amount.
Energy storage and heat accumulation equipment state constraint are：
（10）
（11）
Q max For the maximum quantity of heat storage of heat-accumulator tank,Q min For the minimum quantity of heat storage of heat-accumulator tank；SOCmin、SOCmaxState-of-charge is represented respectively
Maxima and minima, typically takes " 0.2 ", " 0.8 ".In following exampleQ max For 300GJ,Q min For 0.
Heat supply contract is constrained to：
（12）
tThe heat that moment provides to heat supply companyQ x t It can be further represented as
（13）
Q x.min For the minimum heating load of heat supply contract；For electric heating conversion coefficient coefficient, unit is GJ/MWh； W co t FortPeriod
The electricity of electrochemical energy storage electric discharge.In following exampleTake 3.597.
Electric boiler power constraint is：
（14）
P h t FortPeriod electric boiler runs power, should be less than the peak power of electric boilerP hmax .In following exampleP h t Take 30MW.
Step 2：The wind power prediction information of wind power plant is obtained, and then wind power prediction information is abandoned in acquisition；Wind power plant cluster
Control system obtains 15 minutes level active power output information of each wind power plant in wind power plant cluster by wind power prediction system, it is considered to negative
What lotus demand and schedule obtained 96 points of whole day abandons wind information of forecasting.
This example is randomly selected in wind factory heat supply mid-term abandons wind-powered electricity generation amount for one day instead of abandoning wind prediction electricity progress simulation analysis,
As shown in Figure 2.
Step 3：What the mathematical modeling and step 2 obtained using step 1 was obtained abandons wind power；Consider what step 1 was mentioned
Constraints, solution is optimized to hybrid system using particle cluster algorithm.
Maximum with wind electricity digestion to system, the minimum target of boiler regulation number of times carries out single object optimization, obtains in monocular
Hybrid system running boundary condition in the case of mark, it is determined that、、、, value, and then determine heat accumulating type grill pan
Evaluation function this example of stove fusion each index of energy-storage system takes " 506.25,2,303.155,43 " respectively.
Step 301 initializes population, and described population is made up of multiple particles, and the value of each particle is limiting model
Randomly generated in enclosing.
The object function of step 1 mathematical modeling is imported algorithm by step 302, as the object function of algorithm, in step 1
The constraints of consideration writes algorithm in the form of penalty function, when particle does not meet constraints in iterative process, by penalizing letter
Number is punished；What is obtained in steps for importing 2 abandons wind power prediction information, as abandoning wind constraint qualification condition.
Step 303 starts iteration, calculates the comprehensive fitness degree of each particle in population, does not meet the grain of constraints
Son punished according to penalty function, take comprehensive fitness degree maximum particle compared with current optimal particle, make comprehensive fitness degree compared with
Big particle is standard optimal particle.
Step 304 is iterated after renewal according to following formula to each particle in population, return to step 303；
（15）
（16）
K is iterations；W is the inertia weight factor；、For the random number between 0 ~ 1；、For Studying factors（Accelerate
The factor）, Examples below takes 2；ForSpeed of the individual particle in kth time iteration；ForIndividual particle is in kth time iteration
When position；The optimal solution found for particle itself；The optimal solution found for particle in colony.
When step 304 iterations reaches maximum, iteration terminates, when obtaining the objective satisfaction degree of hybrid system two maximum
Optimal control mode.Each equipment period power and state are as shown in figs. 4-7.Fig. 8 be hybrid system dissolve wind-powered electricity generation signal
Dash area is dissolved for system and abandons wind-powered electricity generation amount in figure, figure.
Fig. 4-Fig. 5 is respectively the power gear of electric boiler and the heat of heat-accumulator tank.Electric boiler according to setting 7 gears with
Track wind-powered electricity generation is run, and whole day adjusts electrode 26 times altogether, with boiler real-time tracking wind-powered electricity generation, electrode position mode is adjusted in real time and is compared, greatly
Big reduction regulation number of times, effectively extends the service life of equipment.A part of direct heating of heat that boiler is produced, another part
It is stored in heat-accumulator tank.It is that electrical power is 16.68MWh that this example setting unit interval thermic load, which cannot be below 60GJ conversions,.Work as boiler
To meet in minimum thermic load such as Fig. 8, " 31-41,43-56 " period, heat-accumulator tank discharge heat to underpower, now heat-accumulator tank
Interior quantity of heat storage declines；When boiler power disclosure satisfy that thermic load such as " heat accumulation in 1-10,56-65 " period, heat-accumulator tank heat accumulation, tank
Amount rise.
Fig. 6-Fig. 7 is respectively energy-storage battery operation power and energy-storage battery reserve of electricity.Wind is abandoned when boiler operatiopn power is higher than
Power such as " 1,14,20 " period energy-storage battery power be less than 0, under the premise of SOC is met battery discharge supplement electricity deficiency,
Reserve of electricity declines；When abandoning wind power more than boiler operatiopn power, such as " 4,6,10,21 " periods, energy storage power is more than 0, meets
Battery charges under the premise of SOC, and reserve of electricity rises.
Fig. 8 give using set forth herein heat storage electric boiler fusion energy storage coordinating and optimizing control method tracking abandon wind
Dissolve the situation of wind-powered electricity generation.Access after hybrid system, dash area is dissolved for hybrid system and abandons the common 465.78MWh of wind, wind electricity digestion
Ability and heat storage electric boiler traditional control method（22:00-05:00 operation, remaining time is closed down by heat-accumulator tank heat release heat supply）
Compared to being obviously improved.
Claims (1)
1. a kind of heat storage electric boiler merges energy-storage system optimal control method, it is characterised in that：
Step 1, the mathematical modeling for setting up heat storage electric boiler fusion energy-storage system optimal control：
Step 101：Set up hybrid system and dissolve and abandon wind-powered electricity generation figureofmerit：
（1）
W s t FortPeriod wind power plant abandons wind-powered electricity generation amount using what heat storage electric boiler and electrochemical energy storage were dissolved；
Step 102：Set up heat storage electric boiler regulation number of times index：
（2）
TaptFor heat storage electric boiler the t periods power gear；
Step 103：According to the difference of dimension between each object function, membership function is constructed respectively to each target, by it
The satisfaction to optimum results is converted into, corresponding function is：
（3）
（4）
For to abandon the value that wind is dissolved when being target to the maximum；During for target minimum with boiler gear regulation number of times
Value；The acceptable flexible value of wind is abandoned to dissolve；The acceptable flexible value of number of times is adjusted for boiler gear；For mixing
System, which is dissolved, abandons wind total electricity；Number of times is always adjusted for heat storage electric boiler；
Step 104：Set up the evaluation function that heat storage electric boiler merges each index of energy-storage system：
（5）
k1、k2For the weight coefficient of each several part, and meet；Wind membership function is abandoned to dissolve；To adjust
Save number of times membership function；
Step 105：The constraints for merging energy-storage system optimization using heat storage electric boiler is defined to above-mentioned various indexs
Constraint；
Step 2：The wind power prediction information of wind power plant is obtained, and then wind power prediction information is abandoned in acquisition；
Step 3：What the mathematical modeling and step 2 obtained using step 1 was obtained abandons wind power；Consider the constraint that step 1 is mentioned
Condition, solution is optimized to hybrid system using particle cluster algorithm：
Step 301 initializes population, and described population is made up of multiple particles, and the value of each particle is in the range of restriction
Randomly generate；
The object function of step 1 mathematical modeling is imported algorithm by step 302, as the object function of algorithm, in steps for importing 2
What is obtained abandons wind power prediction information, as abandoning wind constraint qualification condition；
Step 303 starts iteration, calculates the comprehensive fitness degree of each particle in population, do not meet the particle of constraints according to
Punished according to penalty function, the particle for taking comprehensive fitness degree maximum is compared with current optimal particle, makes comprehensive fitness degree larger
Particle is standard optimal particle；
Step 304 is iterated after renewal according to following formula to each particle in population, return to step 303；
（15）
（16）
K is iterations；W is the inertia weight factor；、For the random number between 0 ~ 1；、For Studying factors（Accelerate because
Son）；ForSpeed of the individual particle in kth time iteration；ForIndividual particle position in kth time iteration；For
The optimal solution that particle itself is found；The optimal solution found for particle in colony；
When step 304 iterations reaches maximum, iteration terminates, obtain the objective satisfaction degree of hybrid system two it is maximum when most
Excellent control mode.
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| CN108534113A (en) * | 2018-04-28 | 2018-09-14 | 赫普科技发展（北京）有限公司 | A kind of load side electric heat storage boiler frequency modulation system and method |
| CN108964014A (en) * | 2018-05-24 | 2018-12-07 | 国网浙江省电力有限公司 | A kind of thermoelectricity energy mix system optimization method |
| CN109242340A (en) * | 2018-09-29 | 2019-01-18 | 国网辽宁省电力有限公司电力科学研究院 | A kind of thermal storage electric boiler consumption system monitoring data evaluation system and its evaluation method |
| CN110347039A (en) * | 2019-07-09 | 2019-10-18 | 东北大学 | Consider that user satisfaction and electric boiler participate in the combined heat and power optimization method of peak regulation |
| CN111697615A (en) * | 2019-03-15 | 2020-09-22 | 新奥数能科技有限公司 | Method and device for determining abandoned wind absorption and gear adjustment times |
| CN114970300A (en) * | 2022-06-20 | 2022-08-30 | 国网安徽省电力有限公司淮北供电公司 | Electric power system peak regulation method and peak regulation system with participation of heat accumulating type electric boiler |
| CN115099593A (en) * | 2022-06-14 | 2022-09-23 | 国网江苏省电力有限公司常州供电分公司 | Comprehensive energy system optimal scheduling method and device based on heat storage electric boiler |
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| CN108153940B (en) * | 2017-12-07 | 2021-04-30 | 东北电力大学 | OPLC thermal circuit model modeling method based on superposition principle |
| CN108534113A (en) * | 2018-04-28 | 2018-09-14 | 赫普科技发展（北京）有限公司 | A kind of load side electric heat storage boiler frequency modulation system and method |
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| CN109242340B (en) * | 2018-09-29 | 2021-08-27 | 国网辽宁省电力有限公司电力科学研究院 | Monitoring data evaluation system and evaluation method for heat storage electric boiler digestion system |
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| CN115099593A (en) * | 2022-06-14 | 2022-09-23 | 国网江苏省电力有限公司常州供电分公司 | Comprehensive energy system optimal scheduling method and device based on heat storage electric boiler |
| CN114970300A (en) * | 2022-06-20 | 2022-08-30 | 国网安徽省电力有限公司淮北供电公司 | Electric power system peak regulation method and peak regulation system with participation of heat accumulating type electric boiler |
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