CN107046294A  Combined accumulation energy capacity collocation method based on probability statistics  Google Patents
Combined accumulation energy capacity collocation method based on probability statistics Download PDFInfo
 Publication number
 CN107046294A CN107046294A CN201710219406.2A CN201710219406A CN107046294A CN 107046294 A CN107046294 A CN 107046294A CN 201710219406 A CN201710219406 A CN 201710219406A CN 107046294 A CN107046294 A CN 107046294A
 Authority
 CN
 China
 Prior art keywords
 capacity
 energy
 power
 charge
 interval
 Prior art date
 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
 Granted
Links
 238000009825 accumulation Methods 0.000 title claims abstract description 32
 238000004146 energy storage Methods 0.000 claims abstract description 67
 230000000875 corresponding Effects 0.000 claims description 9
 238000007599 discharging Methods 0.000 claims description 5
 238000004364 calculation method Methods 0.000 claims description 3
 239000000203 mixture Substances 0.000 claims 2
 230000005611 electricity Effects 0.000 description 6
 230000000694 effects Effects 0.000 description 3
 238000010586 diagram Methods 0.000 description 2
 238000005457 optimization Methods 0.000 description 2
 230000005540 biological transmission Effects 0.000 description 1
 238000005516 engineering process Methods 0.000 description 1
 230000000087 stabilizing Effects 0.000 description 1
Classifications

 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
 H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
Abstract
The invention discloses a kind of combined accumulation energy capacity collocation method based on probability statistics.It the described method comprises the following steps：First count charge requirement and electric discharge demand, capacity where calculating each chargedischarge power demand is interval, capacity interval is sorted according to chargedischarge power demand number in each capacity interval, determine to refer to rated capacity according to the interval maximum of capacity, if with reference to rated capacity Small And Medium Capacity combination in the threshold range of Large Copacity, the combination of low capacity is then replaced into Large Copacity, combined accumulation energy capacity is obtained；Then its probability of occurrence is calculated according to the duration of each value and power reference, then obtains based on bank capability and confidence level the power of each combined accumulation energy.The present invention can solve the allocation problem that energystorage moduleization is combined in Practical Project, be conducive to the Effective Function of energystorage system.
Description
Technical field
The present invention relates to energy storage bank capability collocation method, more particularly to a kind of combined accumulation energy capacity based on probability statistics
Optimal Configuration Method.
Background technology
Energystorage system can be by the fluctuation of the smooth load of discharge and recharge, and this makes it be widely used in power system to generate electricity, match somebody with somebody
Electricity and electricity consumption.In Generation Side, the scarcity of traditional energy promotes new energy fastdeveloping, and new based on wind energy, solar energy
The energy, which generates electricity, has fluctuation and intermittence, and its largescale grid connection can be impacted to the safe and stable operation of power network, energy storage
Using largely solving this problem.The increase of load peak makes equipment for power transmission and distribution investment increasing in electricity consumption side, power network
Greatly, so that the utilization rate of equipment and installations reduction of power system, the input of largescale energy storage system is having for traditional power network upgrading
Effect approach.But because the cost of energystorage system now is higher, excessive energy storage can cause system investments cost too high, too small storage
Can be then it cannot be guaranteed that stabilizing effect, therefore, the reasonable disposition of stored energy capacitance is particularly important.
In the research that existing energy storage system capacity is distributed rationally, majority is using the total capacity of energy storage as optimized variable.Can be in reality
In the engineering of border, energy storage device has capacity limit, and energystorage system is usually what is combined by multiple energystorage modules, and selection is different
Combined capacity, its system economy be it is different, therefore, how by different energystorage modules reasonably combination reach system pass through
Help, efficiently using worth discussion, and at present there is vacancy in research in this respect.
The content of the invention
In order to solve the capacity optimization problem that energy storage is applied in combination because of energy storage device capacity limit, the present invention is provided
A kind of combined accumulation energy capacity optimization method, this method can not only calculate the capacity and power of combined accumulation energy, and can make system
Economy is more excellent.
A kind of combined accumulation energy capacity collocation method based on economic analysis, the described method comprises the following steps.
1) the minimum specified total capacity and general power of energystorage system are obtained according to workload demand：
Fromt _{0}What the moment startedTIn period, for energy storage loadP _{L}, it is necessary to the maximum discharge energy that energystorage system is providedE _{d}With
The maximum charge energy for needing energystorage system to absorbE _{c}For：
And then, the corresponding specified total capacity of energystorage system is：
In formula,For the discharging efficiency of energystorage system,For the charge efficiency of energystorage system,For the efficiency of current transformer,S _{max}WithS _{min}Respectively energystorage system stateofcharge upper and lower limit；
Similarly, the rated power of energystorage system needs to meet the peak power vacancy of energy storage loadP _{c}With maximum excess powerP _{d},
Therefore nominal total powerP _{R}For：
。
2) discharge and recharge switching position is found：For the historical data of energy storage load, fromt _{0}Moment startsTIn period, record
The time charged to electric discharge switchingt _{cs}The time switched with electric discharge to chargingt _{ds}, record altogetherIIndividual time point.
3) according to switching position, the charge requirement of different switching time sections is calculatedQ _{c}With electric discharge demandQ _{d}, calculation formula is such as
Under：
。
4) by energy storage total capacityE _{R}It is divided intonPart, it is per a capacity, buildnIndividual capacity is intervalR _{ i }： 。
5) capacity where calculating each chargedischarge power demand is interval, the number of each interval interior chargedischarge power demand is counted, according to individual
It is several interval to each capacityR _{ i }It is ranked up, obtains the capacity sequence of intervals of chargedischarge power demand number from big to small。
6) the minimum chargedischarge energy of combined accumulation energy is used as using the maximum in capacity intervale, it is preferable to be in energy storage
Charging and discharging state, set operation depth of discharged _{r}For 0.7, then the reference rated capacity of assembled batterye _{R}For：e _{R}=e/d _{r}；Then
By capacity sequence of intervalsSObtain referring to rated capacity sequence。
7) threshold value is setk, judgeWhether can be byCombine, if can
Will then combine former rated capacitye _{Ri }Instead of obtaining combined accumulation energy capacityE ^{’}。
8) quantity of each combined accumulation energy is calculated：According to referring to rated capacitye _{R}The probability assignments battery that close load occurs
Quantity, the bigger quantity of probability is bigger, and all energy storage total capacities are equal to the minimum specified total capacity of energystorage systemE _{R}。
9) reference power vector is built, statistics be in the time cycle's
In historical dataP _{ri }Durationt _{ri }, then its probability of occurrenceFor：。
10) for most combined accumulation energy capacityE ^{’}In elementE _{ci }, statisticsInstitute in the historical data
Corresponding maximum power valueP _{ci } ^{’}。
11) set confidence level as, it is desirable to rated power is in confidence levelThe lower demand for meeting load power, according toP _{ci } ^{’}
It is correspondingIt is rightIt is adjusted,It is biggerIt is bigger, it is determined thatE _{ci }Corresponding rated powerP _{ci }。
The beneficial effects of the invention are as follows can obtain the high combined accumulation energy configuration mode of economy, realize that energy storage combination is high
Effect configuration, and optimisation strategy is simple, it is convenient to realize.
Brief description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is energy storage bank capability and power decision method block diagram based on probability statistics.
Fig. 2 is load power figure.
Fig. 3 is battery combination result figure.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, further is made to embodiment of the present invention below
It is described in detail on ground.
1) the minimum specified total capacity and general power of energystorage system are obtained according to workload demand：
Fromt _{0}What the moment startedTIn period, for energy storage loadP _{L}, it is necessary to the maximum discharge energy that energystorage system is providedE _{d}With
The maximum charge energy for needing energystorage system to absorbE _{c}For：
And then, the corresponding specified total capacity of energystorage system is：
In formula,For the discharging efficiency of energystorage system,For the charge efficiency of energystorage system,For the efficiency of current transformer,S _{max}WithS _{min}Respectively energystorage system stateofcharge upper and lower limit；
Similarly, the rated power of energystorage system needs to meet the peak power vacancy of energy storage loadP _{c}With maximum excess powerP _{d},
Therefore nominal total powerP _{R}For：
。
2) discharge and recharge switching position is found：For the historical data of energy storage load, fromt _{0}Moment startsTIn period, record
The time charged to electric discharge switchingt _{cs}The time switched with electric discharge to chargingt _{ds}, record altogetherIIndividual time point.
3) according to switching position, the charge requirement of different switching time sections is calculatedQ _{c}With electric discharge demandQ _{d}, calculation formula is such as
Under：
。
4) by energy storage total capacityE _{R}It is divided intonPart, it is per a capacity, buildnIndividual capacity is intervalR _{ i }： 。
5) capacity where calculating each chargedischarge power demand is interval, the number of each interval interior chargedischarge power demand is counted, according to individual
It is several interval to each capacityR _{ i }It is ranked up, obtains the capacity sequence of intervals of chargedischarge power demand number from big to small。
6) the minimum chargedischarge energy of combined accumulation energy is used as using the maximum in capacity intervale, it is preferable to be in energy storage
Charging and discharging state, set operation depth of discharged _{r}For 0.7, then the reference rated capacity of assembled batterye _{R}For：e _{R}=e/d _{r}.Then
By capacity sequence of intervalsSObtain referring to rated capacity sequence。
7) threshold value is setk, judgeWhether can be byCombine, if can
Will then combine former rated capacitye _{Ri }Instead of obtaining combined accumulation energy capacityE ^{’}。
8) quantity of each combined accumulation energy is calculated：According to referring to rated capacitye _{R}The probability assignments battery that close load occurs
Quantity, the bigger quantity of probability is bigger, and all energy storage total capacities are equal to the minimum specified total capacity of energystorage systemE _{R}。
9) reference power vector is built, statistics be in the time cycle's
In historical dataP _{ri }Durationt _{ri }, then its probability of occurrenceFor：。
10) for most combined accumulation energy capacityE ^{’}In elementE _{ci }, statisticsInstitute in the historical data
Corresponding maximum power valueP _{ci } ^{’}。
11) set confidence level as, it is desirable to rated power is in confidence levelThe lower demand for meeting load power, according toP _{ci } ^{’}
It is correspondingIt is rightIt is adjusted,It is biggerIt is bigger, it is determined thatE _{ci }Corresponding rated powerP _{ci }。
Energy storage bank capability and capacity determine that algorithm block diagram is as shown in Figure 1.
By taking the load data of actual 1 year of somewhere as an example, it is assumed that in the operation time limit of energy storage, load variations situation with
The year is consistent.
According to proposed method, emulate obtained battery combination mode and have 1024 kinds, according to economy in this is 1024 kinds
Property selects optimal combination.Optimum results are as shown in figure 3, be respectively capacity, power and the every kind of electricity of battery combination in figure
The quantity in pond.
Claims (4)
1. a kind of combined accumulation energy capacity collocation method based on probability statistics, it is characterised in that the described method comprises the following steps：
1) charge requirement of statistics energy storage load and electric discharge demand；The specified total capacity of energy storage is divided equally to interval to build capacity, and
Capacity where calculating each chargedischarge power demand is interval；Capacity interval is sorted according to chargedischarge power demand number in each capacity interval,
Determine to refer to rated capacity further according to each interval inner capacities maximum after sequence；If with reference to the combination of rated capacity Small And Medium Capacity
In the threshold range of Large Copacity, then the combination of low capacity is replaced into Large Copacity, obtain combined accumulation energy capacity；Then according to total appearance
The probability that size and the close chargedischarge power demand of bank capability occur is measured, the quantity of each combined accumulation energy is obtained；
2) nominal total power is divided equally and obtains value and power reference, according to duration of each value and power reference in load, calculate
Its probability of occurrence；Capacity again based on combined accumulation energy and the confidence level changed with probability of occurrence, calculate each combined accumulation energy
Power.
2. a kind of combined accumulation energy capacity collocation method based on probability statistics according to claim 1, it is characterised in that meter
Calculating the specific method of the specified total capacity of energy storage and nominal total power is：
Fromt _{0}What the moment startedTIn period, for energy storage loadP _{L}, it is necessary to the maximum discharge energy that energystorage system is providedE _{d}With
The maximum charge energy for needing energystorage system to absorbE _{c}For：
And then, the corresponding specified total capacity of energystorage system is：
In formula,For the discharging efficiency of energystorage system,For the charge efficiency of energystorage system,For the efficiency of current transformer,S _{max}
WithS _{min}Respectively energystorage system stateofcharge upper and lower limit；
Similarly, the rated power of energystorage system needs to meet the peak power vacancy of energy storage loadP _{c}With maximum excess powerP _{d}, because
This nominal total powerP _{R}For：
。
3. a kind of combined accumulation energy capacity collocation method based on probability statistics according to claim 1, it is characterised in that meter
Calculate comprising the concrete steps that for combined accumulation energy rated capacity：
1) discharge and recharge switching position is found：For the historical data of energy storage load, fromt _{0}Moment startsTIn period, record charging
To the time of electric discharge switchingt _{cs}The time switched with electric discharge to chargingt _{ds}, record altogetherIIndividual time point；
2) according to switching position, the charge requirement of different switching time sections is calculatedQ _{c}With electric discharge demandQ _{d}, calculation formula is as follows：
3) by energy storage total capacityE _{R}It is divided intonPart, it is per a capacity, buildnIndividual capacity is intervalR _{ i }： ；
4) capacity where calculating each chargedischarge power demand is interval, the number of each interval interior chargedischarge power demand is counted, according to number pair
Each capacity is intervalR _{ i }It is ranked up, obtains the capacity sequence of intervals of chargedischarge power demand number from big to small；
5) the minimum chargedischarge energy of combined accumulation energy is used as using the maximum in capacity intervale, preferably filled to be in energy storage
Discharge condition, sets operation depth of discharged _{r}For 0.7, then the reference rated capacity of assembled batterye _{R}For：e _{R}=e/d _{r}；Then by holding
Measure sequence of intervalsSObtain referring to rated capacity sequence；
6) threshold value is setk, judgeWhether can be byCombine, if can be with,
It will combine former rated capacitye _{Ri }Instead of obtaining combined accumulation energy capacityE ^{’}；
7) quantity of each combined accumulation energy is calculated：According to referring to rated capacitye _{R}The number for the probability assignments battery that close load occurs
Amount, the bigger quantity of probability is bigger, and all energy storage total capacities are equal to the minimum specified total capacity of energystorage systemE _{R}。
4. a kind of combined accumulation energy capacity collocation method based on probability statistics according to claim 1, it is characterised in that meter
The rated power for calculating combined accumulation energy is comprised the concrete steps that：
1) reference power vector is built, statistics be in the time cycleHistory
In dataP _{ri }Durationt _{ri }, then its probability of occurrenceFor：；
2) for most combined accumulation energy capacityE ^{’}In elementE _{ci }, statisticsIt is corresponding in the historical data
Maximum power valueP _{ci } ^{’}；
3) set confidence level as, it is desirable to rated power is in confidence levelThe lower demand for meeting load power, according toP _{ci } ^{’}Correspondence
'sIt is rightIt is adjusted,It is biggerIt is bigger, it is determined thatE _{ci }Corresponding rated powerP _{ci }。
Priority Applications (1)
Application Number  Priority Date  Filing Date  Title 

CN201710219406.2A CN107046294B (en)  20170406  20170406  Combined accumulation energy capacity collocation method based on probability statistics 
Applications Claiming Priority (1)
Application Number  Priority Date  Filing Date  Title 

CN201710219406.2A CN107046294B (en)  20170406  20170406  Combined accumulation energy capacity collocation method based on probability statistics 
Publications (2)
Publication Number  Publication Date 

CN107046294A true CN107046294A (en)  20170815 
CN107046294B CN107046294B (en)  20190702 
Family
ID=59545620
Family Applications (1)
Application Number  Title  Priority Date  Filing Date 

CN201710219406.2A Active CN107046294B (en)  20170406  20170406  Combined accumulation energy capacity collocation method based on probability statistics 
Country Status (1)
Country  Link 

CN (1)  CN107046294B (en) 
Cited By (1)
Publication number  Priority date  Publication date  Assignee  Title 

CN112651717A (en) *  20201231  20210413  中国电建集团福建省电力勘测设计院有限公司  Multistation fusion energy storage capacity configuration method based on probability distribution statistics 
Citations (2)
Publication number  Priority date  Publication date  Assignee  Title 

CN103368193A (en) *  20120330  20131023  中国电力科学研究院  Method for distribution realtime power of battery energy storage power station for tracking planned output 
CN103545832A (en) *  20130922  20140129  国家电网公司  Photovoltaic system energy accumulation capacity configuration method based on power generation prediction errors 

2017
 20170406 CN CN201710219406.2A patent/CN107046294B/en active Active
Patent Citations (2)
Publication number  Priority date  Publication date  Assignee  Title 

CN103368193A (en) *  20120330  20131023  中国电力科学研究院  Method for distribution realtime power of battery energy storage power station for tracking planned output 
CN103545832A (en) *  20130922  20140129  国家电网公司  Photovoltaic system energy accumulation capacity configuration method based on power generation prediction errors 
NonPatent Citations (2)
Title 

卢芸，徐骏: "基于小波包分解的风电混合储能容量配置方法", 《电力系统保护与控制》 * 
夏成军等: "考虑光伏发电及负荷概率性的储能容量优化", 《南方电网技术》 * 
Cited By (1)
Publication number  Priority date  Publication date  Assignee  Title 

CN112651717A (en) *  20201231  20210413  中国电建集团福建省电力勘测设计院有限公司  Multistation fusion energy storage capacity configuration method based on probability distribution statistics 
Also Published As
Publication number  Publication date 

CN107046294B (en)  20190702 
Similar Documents
Publication  Publication Date  Title 

CN105226688B (en)  Polymorphic type energy storage system capacity configuration optimizing method based on Chanceconstrained Model  
CN105576677B (en)  A kind of photovoltaic energy storage system capacity management control method  
CN106099965B (en)  Exchange the control method for coordinating of COMPLEX MIXED energystorage system under microgrid connection state  
CN104410094B (en)  A kind of active power distribution method of battery energy storage power station  
CN104300567A (en)  Hybrid energy storage control method for stabilizing intermittent power supply power fluctuation  
CN109510234B (en)  Hybrid energy storage capacity optimal configuration method and device for microgrid energy storage power station  
CN104362658A (en)  Energy type and power type hybrid energy storage coordination control method  
CN106451508B (en)  Distributed hybrid energy storage system configuration and charging and discharging method and device  
CN105047966B (en)  Flow battery multimode operation control method and its system  
CN108964102A (en)  The position of distributed energy storage and capacity configuration optimizing method in power distribution network  
CN106849142A (en)  User's sidelight stores up integral system demand charge capacity configuration software algorithm  
CN104716693A (en)  Energy management method, controller and system for distributed energy storage batteries  
CN109217290A (en)  Meter and the microgrid energy optimum management method of electric car charge and discharge  
CN107492901B (en)  Distributed energy storage system realtime optimization method and device  
CN105226689A (en)  Consider polymorphic type energystorage system energy management method and the system of operation and maintenance  
CN202651806U (en)  Smooth windpower photovoltaic power generation control system of battery energy storage station  
CN108695871A (en)  The configuration method of the reduction stored energy capacitance demand of isolated island microcapacitance sensor containing electric power spring  
CN105226694A (en)  The level and smooth generation of electricity by new energy control method of energy storage based on fuzzy empirical mode decomposition  
CN108011388B (en)  A kind of energystorage system and its control method and control device  
CN108923446A (en)  The configuration method of stored energy capacitance in a kind of photovoltaic/energy storage integrated system  
CN104767259B (en)  Electric system selfadaption super capacitor and storage battery hybrid energy storage system  
CN110323779B (en)  Method and system for dynamically aggregating power of distributed power generation and energy storage device  
CN107046294B (en)  Combined accumulation energy capacity collocation method based on probability statistics  
CN107171357A (en)  A kind of composite control method distributed rationally for windlight storage  
CN105720597B (en)  For optimizing the method that electric vehicle fills the integrated power station chargedischarge electric power of storage 
Legal Events
Date  Code  Title  Description 

PB01  Publication  
PB01  Publication  
SE01  Entry into force of request for substantive examination  
SE01  Entry into force of request for substantive examination  
GR01  Patent grant  
GR01  Patent grant 