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
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- 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
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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
- 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 charge-discharge power demand is interval, capacity interval is sorted according to charge-discharge 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 energy-storage moduleization is combined in Practical Project, be conducive to the Effec-tive Function of energy-storage 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
Energy-storage 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 fast-developing, and new based on wind energy, solar energy
The energy, which generates electricity, has fluctuation and intermittence, and its large-scale 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 large-scale energy storage system is having for traditional power network upgrading
Effect approach.But because the cost of energy-storage 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 energy-storage system is usually what is combined by multiple energy-storage modules, and selection is different
Combined capacity, its system economy be it is different, therefore, how by different energy-storage 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 energy-storage system are obtained according to workload demand：
Fromt 0What the moment startedTIn period, for energy storage loadP L, it is necessary to the maximum discharge energy that energy-storage system is providedE dWith
The maximum charge energy for needing energy-storage system to absorbE cFor：
And then, the corresponding specified total capacity of energy-storage system is：
In formula,For the discharging efficiency of energy-storage system,For the charge efficiency of energy-storage system,For the efficiency of current transformer,S maxWithS minRespectively energy-storage system state-of-charge upper and lower limit；
Similarly, the rated power of energy-storage system needs to meet the peak power vacancy of energy storage loadP cWith maximum excess powerP d,
Therefore nominal total powerP RFor：
。
2) discharge and recharge switching position is found：For the historical data of energy storage load, fromt 0Moment startsTIn period, record
The time charged to electric discharge switchingt csThe 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 cWith electric discharge demandQ d, calculation formula is such as
Under：
。
4) by energy storage total capacityE RIt is divided intonPart, it is per a capacity, buildnIndividual capacity is intervalR i ： 。
5) capacity where calculating each charge-discharge power demand is interval, the number of each interval interior charge-discharge 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 charge-discharge power demand number from big to small。
6) the minimum charge-discharge 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 rFor 0.7, then the reference rated capacity of assembled batterye RFor：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 RThe 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 energy-storage 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 energy-storage system are obtained according to workload demand：
Fromt 0What the moment startedTIn period, for energy storage loadP L, it is necessary to the maximum discharge energy that energy-storage system is providedE dWith
The maximum charge energy for needing energy-storage system to absorbE cFor：
And then, the corresponding specified total capacity of energy-storage system is：
In formula,For the discharging efficiency of energy-storage system,For the charge efficiency of energy-storage system,For the efficiency of current transformer,S maxWithS minRespectively energy-storage system state-of-charge upper and lower limit；
Similarly, the rated power of energy-storage system needs to meet the peak power vacancy of energy storage loadP cWith maximum excess powerP d,
Therefore nominal total powerP RFor：
。
2) discharge and recharge switching position is found：For the historical data of energy storage load, fromt 0Moment startsTIn period, record
The time charged to electric discharge switchingt csThe 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 cWith electric discharge demandQ d, calculation formula is such as
Under：
。
4) by energy storage total capacityE RIt is divided intonPart, it is per a capacity, buildnIndividual capacity is intervalR i ： 。
5) capacity where calculating each charge-discharge power demand is interval, the number of each interval interior charge-discharge 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 charge-discharge power demand number from big to small。
6) the minimum charge-discharge 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 rFor 0.7, then the reference rated capacity of assembled batterye RFor：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 RThe 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 energy-storage 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 charge-discharge power demand is interval；Capacity interval is sorted according to charge-discharge 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 charge-discharge 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 0What the moment startedTIn period, for energy storage loadP L, it is necessary to the maximum discharge energy that energy-storage system is providedE dWith
The maximum charge energy for needing energy-storage system to absorbE cFor：
And then, the corresponding specified total capacity of energy-storage system is：
In formula,For the discharging efficiency of energy-storage system,For the charge efficiency of energy-storage system,For the efficiency of current transformer,S max
WithS minRespectively energy-storage system state-of-charge upper and lower limit；
Similarly, the rated power of energy-storage system needs to meet the peak power vacancy of energy storage loadP cWith maximum excess powerP d, because
This nominal total powerP RFor：
。
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 0Moment startsTIn period, record charging
To the time of electric discharge switchingt csThe 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 cWith electric discharge demandQ d, calculation formula is as follows：
3) by energy storage total capacityE RIt is divided intonPart, it is per a capacity, buildnIndividual capacity is intervalR i ： ；
4) capacity where calculating each charge-discharge power demand is interval, the number of each interval interior charge-discharge power demand is counted, according to number pair
Each capacity is intervalR i It is ranked up, obtains the capacity sequence of intervals of charge-discharge power demand number from big to small；
5) the minimum charge-discharge 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 rFor 0.7, then the reference rated capacity of assembled batterye RFor：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 RThe 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 energy-storage 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 。
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| CN112651717A (en) * | 2020-12-31 | 2021-04-13 | 中国电建集团福建省电力勘测设计院有限公司 | Multi-station fusion energy storage capacity configuration method based on probability distribution statistics |
| CN113471995A (en) * | 2021-06-09 | 2021-10-01 | 国网江苏省电力有限公司淮安供电分公司 | Energy storage configuration method for improving frequency stability of new energy high-occupancy-ratio region based on improved average value method |
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Cited By (3)
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| CN112651717A (en) * | 2020-12-31 | 2021-04-13 | 中国电建集团福建省电力勘测设计院有限公司 | Multi-station fusion energy storage capacity configuration method based on probability distribution statistics |
| CN113471995A (en) * | 2021-06-09 | 2021-10-01 | 国网江苏省电力有限公司淮安供电分公司 | Energy storage configuration method for improving frequency stability of new energy high-occupancy-ratio region based on improved average value method |
| CN113471995B (en) * | 2021-06-09 | 2023-12-12 | 国网江苏省电力有限公司淮安供电分公司 | Energy storage configuration method for improving frequency stability of new energy high-duty-ratio area |
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