CN108879742B - Energy storage optimal configuration method and system - Google Patents
Energy storage optimal configuration method and system Download PDFInfo
- Publication number
- CN108879742B CN108879742B CN201810722727.9A CN201810722727A CN108879742B CN 108879742 B CN108879742 B CN 108879742B CN 201810722727 A CN201810722727 A CN 201810722727A CN 108879742 B CN108879742 B CN 108879742B
- Authority
- CN
- China
- Prior art keywords
- power
- fluctuation amount
- fluctuation
- grid
- energy storage
- 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.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000009826 distribution Methods 0.000 claims abstract description 48
- 238000004364 calculation method Methods 0.000 claims abstract description 17
- 230000001186 cumulative effect Effects 0.000 claims description 15
- 238000007599 discharging Methods 0.000 claims description 9
- 230000006641 stabilisation Effects 0.000 abstract description 2
- 238000011105 stabilization Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
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
-
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
-
- H02J3/382—
-
- 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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
An energy storage optimal configuration method and system comprises the following steps: calculating probability distribution of the power fluctuation amount based on the power fluctuation amount; calculating an energy storage compensation power value of the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount; and determining the rated power, the rated capacity and the initial charge state of the stored energy based on the energy storage compensation power value of the fluctuation amount, realizing the fluctuation stabilization of the output power of the new energy, meeting the grid-connected index requirement by the fluctuation amount, realizing the optimal configuration calculation of the stored energy power and the capacity, minimizing the energy storage configuration power capacity, compensating the power value which does not meet the fluctuation index without influencing the power value which meets the condition, and ensuring that the required stored energy power and the capacity are smaller.
Description
The technical field is as follows:
the invention relates to the field of new energy power generation and high-capacity energy storage, in particular to an energy storage optimal configuration method and system.
Background art:
new energy represented by wind power and photovoltaic power generation has the characteristics of intermittence, randomness, uncertainty and the like. With the continuous increase of new energy permeability, more and more challenges are brought to the safe and reliable operation of a power grid. At present, two main methods for stabilizing the output power fluctuation of new energy sources are as follows: firstly, a control system of the new energy is improved, and the method can sacrifice the active power output of the new energy and is influenced by the control capability and resources of a unit; and secondly, an Energy Storage System (ESS) is used for compensating and adjusting the fluctuation power of the new energy, the power is more flexibly stabilized through the rapid charging and discharging capacity of the stored energy, the control of a unit is not required to be changed, and the method becomes one of effective means for solving the fluctuation of the power of the new energy.
The power, capacity of the energy storage arrangement directly affects the effect of compensating power fluctuations and the economy of the arrangement. According to the current standard, the limit index of the power system on the new energy power fluctuation has two aspects: time scale and fluctuation amplitude. The configuration target should reduce the energy storage power and capacity as much as possible on the premise of meeting the requirements of the power system, so that a lot of research is carried out by scholars at home and abroad aiming at the problem, and the configuration target still belongs to a research hotspot at present.
The invention content is as follows:
in order to overcome the above drawbacks, the present invention provides an energy storage optimal configuration method, including:
calculating probability distribution of the power fluctuation amount based on the new energy power fluctuation amount;
calculating an energy storage compensation power value of the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount;
and determining the rated power, the rated capacity and the initial state of charge of the stored energy based on the energy storage compensation power value of the fluctuation amount.
Preferably, the calculating an energy storage compensation power value of the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount includes:
calculating the cumulative probability distribution of the grid-connected power fluctuation amount limit value based on the probability distribution and the grid-connected power fluctuation amount limit value in the grid-connected fluctuation index;
judging whether the cumulative probability distribution meets the probability level in the grid-connected fluctuation index;
if the grid-connected fluctuation quantity limit value and the probability level in the grid-connected fluctuation indexes are met, directly calculating the energy storage compensation power of the fluctuation quantity; and otherwise, compensating the power fluctuation within the set time scale until the limit value and the probability level of the grid-connected fluctuation are met.
Preferably, the compensating the power fluctuation amount within the set time scale until the grid-connected fluctuation amount limit value and the probability level are met includes:
calculating the power fluctuation amount in the time scale corresponding to the power fluctuation amount from the first fluctuation amount based on the fluctuation amount which does not meet the grid-connected fluctuation amount limit value and the probability level;
if the power fluctuation quantity meets the grid-connected fluctuation quantity limit value and the probability level in the grid-connected fluctuation index, calculating the next fluctuation quantity; otherwise, calculating the compensation power value in the time scale corresponding to the fluctuation amount until all the fluctuation amounts are calculated.
Preferably, said step until all the fluctuation amounts are calculated further comprises:
counting all compensation power values calculated in a set time scale;
determining a rated power of the stored energy based on the compensation power value;
and calculating the rated capacity and the initial state of charge of the stored energy based on the compensation power value and the limit value of the state of charge of the stored energy in the grid-connected fluctuation index.
Preferably, the power fluctuation amount is calculated as follows:
ΔP T ＝maxP(τ)-minP(τ),τ∈[t-T,t)
in the formula, T is a time scale, and is 1min and 10min; t is the current time, maxP (τ) is the maximum output power within the time scale T, minP (τ) is the minimum output power within the time scale T.
Preferably, the calculation formula of the probability distribution of the power fluctuation amount is as follows:
in the formula, N is the total data number; delta P Ti The ith value of the power fluctuation amount is taken; number (Δ P) Ti ) The power fluctuation quantity is equal to the number of the ith value, i =1,2, \8230AnN; satisfies 0. Ltoreq. P (Δ P) Ti )≤1，
Preferably, the calculation formula of the cumulative probability distribution is as follows:
in the formula, delta P is a grid-connected power fluctuation amount limit value in a set grid-connected fluctuation index; delta P Tj J is the value of the maximum fluctuation of the output power of the new energy, j is more than or equal to 1 and less than or equal to N, and min epsilon = min [ (delta P-delta P) Tj )≥0](ii) a N is the total data number; delta P T Is the amount of power fluctuation; p (. DELTA.P) Ti ) Is the probability distribution of the amount of power fluctuation.
Preferably, whether the cumulative probability distribution meets the probability level in the grid-connected fluctuation index is judged according to the following formula:
F(ΔP)≥α
in the formula, α is a probability level value in the set grid-connection fluctuation index.
Preferably, the calculation formula of the charge/discharge compensation power value within the time scale corresponding to the fluctuation amount is as follows:
P E ＝ΔP cTi ＝ΔP dTi ＝(ΔP Ti -ΔP)/2
in the formula, P E To compensate for the power value; delta P cTi Compensating the power value for the charging; delta P dTi Compensating the power value for the discharge; delta P Ti The ith value of the power fluctuation amount is taken; and the delta P is a grid-connected power fluctuation amount limit value in the set grid-connected fluctuation index.
Preferably, the determining of the rated power, the rated capacity and the initial state of charge of the stored energy based on the stored energy charging and discharging compensation power includes:
based on the energy storage charging and discharging compensation power, the rated power of the energy storage is calculated according to the following formula:
P EN ＝max{|P E |}
in the formula, P E To compensate for the power value;
the rated capacity is calculated as follows:
in the formula, E d.max The maximum capacity of energy storage during discharging; e c.max Storing the maximum energy capacity during charging;
the initial state of charge is calculated as:
in the formula, SOC up Is the maximum state of charge limit; SOC (system on chip) low A minimum state of charge limit; SOC (system on chip) 0 An initial state of charge.
An energy storage optimal configuration system, the system comprising:
a first calculation module: the probability distribution is used for calculating the power fluctuation amount based on the new energy power fluctuation amount;
a second calculation module: the energy storage compensation power value is used for calculating the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount;
a determination module: and the device is used for determining the rated power, the rated capacity and the initial state of charge of the stored energy based on the stored energy compensation power value of the fluctuation amount.
Preferably, the second calculation module includes: the device comprises a first calculating unit, a judging unit and a calculating unit;
the first calculating unit is used for calculating the cumulative probability distribution of the grid-connected power fluctuation amount limit value based on the probability distribution and the grid-connected power fluctuation amount limit value in the grid-connected fluctuation index;
the judging unit is used for judging whether the cumulative probability distribution meets the probability level in the grid-connected fluctuation index;
the computing unit is used for directly computing the energy storage compensation power of the fluctuation amount if the grid-connected fluctuation amount limit value and the probability level in the grid-connected fluctuation index are met; otherwise, compensating the power fluctuation amount within the set time scale until the grid-connected fluctuation amount limit value and the probability level are met.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention provides an energy storage optimal configuration method, which is characterized in that the probability distribution of power fluctuation quantity is calculated based on the power fluctuation quantity; calculating an energy storage compensation power value of the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount; and determining the rated power, the rated capacity and the initial charge state of the stored energy based on the energy storage compensation power value of the fluctuation amount, so as to realize the fluctuation stabilization of the output power of the new energy, ensure that the fluctuation amount meets the requirement of grid-connected indexes, realize the optimal configuration calculation of the stored energy power and the capacity and ensure that the power capacity of the stored energy configuration is minimum.
2. According to the energy storage optimal configuration method provided by the invention, the power value which does not meet the fluctuation index is compensated, the power value which meets the condition is not influenced, the required energy storage power and the capacity are smaller, the rated capacity and the initial state of the energy storage are deduced by considering the limitation of the charge state of the energy storage after the energy storage compensation power is obtained, the energy storage can not be overcharged or overdischarged at any time in the period under the capacity and the initial state, and the service life of the energy storage is effectively maintained.
Description of the drawings:
FIG. 1 is a flowchart of an embodiment of a method for energy storage optimization configuration of new energy fluctuation probability distribution according to the present invention;
fig. 2 is a flowchart of an energy storage optimization configuration determination condition of new energy fluctuation probability distribution according to the present invention.
The specific implementation mode is as follows:
for better understanding of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Example 1: the specific steps shown in fig. 1 are as follows:
the method comprises the following steps: calculating probability distribution of the power fluctuation amount based on the new energy power fluctuation amount;
(1) Calculating the maximum power fluctuation quantity delta P of the output power of the new energy within the specified time scale T T
ΔP T ＝maxP(τ)-minP(τ),τ∈[t-T,t) (1)
Wherein: t is time scale, which can be 1min,10min, etc., T is current time, and maxP (tau) and minP (tau) are maximum output power and minimum output power in the time scale T respectively.
(2) Calculating Δ P T Probability distribution P (Δ P) T )
Wherein: n is the total number of data, Δ P Ti Is Δ P T Is taken to be the ith value, number (Δ P) Ti ) The number of the ith value satisfies that P (delta P) is more than or equal to 0 Ti )≤1，
Step two: calculating an energy storage compensation power value of the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount;
as shown in fig. 2:
(1) Calculating the cumulative probability distribution of the fluctuation amount according to the probability distribution, and judging whether the fluctuation index requirement is met, wherein the method comprises the following steps:
● Assuming that delta P is the maximum fluctuation limit of grid-connected power, the maximum fluctuation limit is within delta P T Is selected to be equal to or less than the value Δ P closest to the limit Tj The method is as follows
minε＝min[(ΔP-ΔP Tj )≥0] (3)
● Calculating the cumulative probability distribution of the fluctuation amount by the following method:
wherein: delta P Tj J is the value of the maximum fluctuation number j of the output power of the new energy, and j is more than or equal to 1 and less than or equal to N.
● Assuming that the probability that the maximum power fluctuation amount of the time scale T is smaller than the constant delta P is required to reach alpha (alpha is more than or equal to 0 and less than or equal to 1), calculating and judging whether the probability that the fluctuation amount is smaller than delta P meets the requirement according to the formula (3), namely the following formula:
F(ΔP)≥α (5)
if F (delta P) is larger than or equal to alpha, the requirement is met, and the step (4) is skipped; if F (delta P) < alpha, the requirement is not met, and the calculation of the step (2) is carried out.
(2) Starting from the first fluctuation amount, searching the maximum power and the minimum power which do not meet the fluctuation amount limit value, and compensating, wherein the steps are as follows:
● If Δ P Ti If the value is less than or equal to delta P, the original power value is unchanged, and the next value is continuously judged;
● If Δ P Ti If the fluctuation amount is more than delta P, the compensation of the maximum and minimum values of the original power in the T time scale corresponding to the fluctuation amount is as follows:
the compensation method can change the difference of the maximum and minimum power values in the T time scale into delta P, just meets the fluctuation amount limit value, and the power required to be compensated is minimum.
(3) Repeating the calculation and verification of the step (1) on the power fluctuation amount after one round of calculation and compensation in the step (2), if the power fluctuation amount meets the requirement, performing the step (4), and if the power fluctuation amount does not meet the requirement, repeating the step (2) until the requirement is met;
(4) The energy storage compensation power value is equal to the original power value minus the compensated power value, the power value with the fluctuation quantity meeting the condition is not changed according to the formula (6), the energy storage only compensates the power value with the fluctuation quantity not meeting the condition, and the absolute value of the compensation quantity in each compensated T time scale is as the following formula
ΔP cTi ＝ΔP dTi ＝(ΔP Ti -ΔP)/2 (7)
Step three: determining rated power, rated capacity and initial state of charge of the stored energy based on the energy storage compensation power value of the fluctuation amount;
the rated power, rated capacity, and initial state of the energy storage are calculated as follows:
P EN ＝max{|P E |} (8)
wherein: SOC up And SOC low Maximum and minimum state of charge limits, P, respectively EN At rated power, E N To rated capacity, SOC 0 An initial state of charge.
The energy storage compensation power and capacity obtained by the method are minimum, the initial state meets the charge and discharge requirements in a compensation period, and overcharge and overdischarge are avoided.
Based on the same inventive concept, the invention also provides an energy storage optimal configuration system for new energy fluctuation probability distribution, which is characterized by comprising the following components:
a first calculation module: the device is used for acquiring all power fluctuation amounts and calculating the probability distribution of the power fluctuation amounts;
a second calculation module: the device is used for calculating the energy storage charging and discharging compensation power based on the preset new energy power grid-connected fluctuation index and the probability distribution of the power fluctuation amount;
a determination module: and the device is used for determining the rated power, the rated capacity and the initial state of the stored energy based on the stored energy charging and discharging compensation power.
The second computing module, comprising: the device comprises a first calculating unit, a judging unit and a calculating unit;
the first calculating unit is used for calculating the cumulative probability distribution of the grid-connected power fluctuation amount limit value based on the probability distribution and the grid-connected power fluctuation amount limit value in the grid-connected fluctuation index;
the judging unit is used for judging whether the cumulative probability distribution meets the probability level in the grid-connected fluctuation index;
the computing unit is used for directly computing the energy storage compensation power of the fluctuation amount if the grid-connected fluctuation amount limit value and the probability level in the grid-connected fluctuation index are met; and otherwise, compensating the power fluctuation within the set time scale until the limit value and the probability level of the grid-connected fluctuation are met.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and block diagrams of methods, systems, and computer program products according to embodiments of the application. It will be understood that each flow and block of the flow diagrams and block diagrams, and combinations of flows and blocks in the flow diagrams and block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention are included in the scope of the claims of the present invention as filed.
Claims (7)
1. An energy storage optimal configuration method, characterized in that the method comprises:
calculating probability distribution of the power fluctuation amount based on the new energy power fluctuation amount;
calculating an energy storage compensation power value of the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount;
determining rated power, rated capacity and initial state of charge of the stored energy based on the energy storage compensation power value of the fluctuation amount;
the energy storage compensation power value of the fluctuation amount is calculated based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount, and the method comprises the following steps:
calculating the cumulative probability distribution of the grid-connected power fluctuation amount limit value based on the probability distribution and the grid-connected power fluctuation amount limit value in the grid-connected fluctuation index;
judging whether the cumulative probability distribution meets the probability level in the grid-connected fluctuation index or not;
if the grid-connected fluctuation quantity limit value and the probability level in the grid-connected fluctuation indexes are met, directly calculating the energy storage compensation power of the fluctuation quantity; otherwise, compensating the power fluctuation amount within the set time scale until the limit value and the probability level of the grid-connected fluctuation amount are met;
the compensating the power fluctuation amount within the set time scale until the limit value and the probability level of the grid-connected fluctuation amount are met comprises the following steps:
calculating the power fluctuation amount in the time scale corresponding to the power fluctuation amount from the first fluctuation amount based on the fluctuation amount which does not meet the grid-connected fluctuation amount limit value and the probability level;
if the power fluctuation quantity meets the grid-connected fluctuation quantity limit value and the probability level in the grid-connected fluctuation indexes, calculating the next fluctuation quantity; otherwise, calculating the compensation power value in the time scale corresponding to the fluctuation amount until all the fluctuation amounts are calculated;
the probability distribution of the power fluctuation amount is calculated as follows:
in the formula, N is the total data number; delta P Ti The ith value of the power fluctuation amount is taken; number (Δ P) Ti ) The power fluctuation amount is equal to the number of the ith value,i =1,2, \8230N; satisfies 0. Ltoreq. P (Δ P) Ti )≤1，
The calculation formula of the cumulative probability distribution is as follows:
in the formula, delta P is a grid-connected power fluctuation amount limit value in a set grid-connected fluctuation index; delta P Tj J is the value of the maximum fluctuation of the output power of the new energy, j is more than or equal to 1 and less than or equal to N, and min epsilon = min [ (delta P-delta P) Tj )≥0](ii) a N is the total data number; delta P T Is the amount of power fluctuation; p (Δ P) Ti ) Is the probability distribution of the power fluctuation amount;
the calculation formula of the charge-discharge compensation power value in the time scale corresponding to the fluctuation amount is as follows:
P E ＝ΔP cTi ＝ΔP dTi ＝(ΔP Ti -ΔP)/2
in the formula, P E To compensate for the power value; delta P cTi Compensating the power value for the charging; delta P dTi Compensating the power value for the discharge; delta P Ti The ith value of the power fluctuation amount is taken; and the delta P is a grid-connected power fluctuation amount limit value in the set grid-connected fluctuation index.
2. The method according to claim 1, wherein the method further comprises, until all fluctuation amounts are calculated:
counting all compensation power values calculated in a set time scale;
determining a rated power of the stored energy based on the compensation power value;
and calculating the rated capacity and the initial charge state of the stored energy based on the compensation power value and the limit value of the charge state of the stored energy in the grid-connected fluctuation index.
3. The method according to claim 1, wherein the power fluctuation amount is calculated as follows:
ΔP T ＝maxP(τ)-minP(τ),τ∈[t-T,t)
in the formula, T is a time scale, and is selected to be 1min and 10min; t is the current time, maxP (τ) is the maximum output power within the time scale T, minP (τ) is the minimum output power within the time scale T.
4. The energy storage optimal configuration method according to claim 1, wherein whether the cumulative probability distribution meets the probability level in the grid-connected fluctuation index is judged according to the following formula:
F(ΔP)≥α
in the formula, α is a probability level value in the set grid-connected fluctuation index.
5. The method according to claim 2, wherein the determining a rated power, a rated capacity and an initial state of charge of the stored energy based on the stored energy charging and discharging compensation power comprises:
based on the energy storage charging and discharging compensation power, the rated power of the energy storage is calculated according to the following formula:
P EN ＝max{|P E |}
in the formula, P E To compensate for the power value;
the rated capacity is calculated as follows:
in the formula, E d.max Storing the maximum capacity for discharging; e c.max Storing the maximum energy capacity during charging;
the initial state of charge is calculated as:
in the formula, SOC up Is the maximum state of charge limit; SOC low A state of charge minimum limit; SOC 0 An initial state of charge.
6. An energy storage optimal configuration system for use in the energy storage optimal configuration method according to any one of claims 1 to 5, characterized in that the system comprises:
a first calculation module: the probability distribution is used for calculating the power fluctuation amount based on the new energy power fluctuation amount;
a second calculation module: the energy storage compensation power value is used for calculating the fluctuation amount based on the grid-connected fluctuation index and the probability distribution of the power fluctuation amount;
a determination module: and the energy storage compensation power value is used for determining the rated power, the rated capacity and the initial state of charge of the energy storage based on the fluctuation amount.
7. The energy storage optimal configuration system of claim 6, wherein the second computing module comprises: the device comprises a first calculating unit, a judging unit and a calculating unit;
the first calculating unit is used for calculating the cumulative probability distribution of the grid-connected power fluctuation amount limit value based on the probability distribution and the grid-connected power fluctuation amount limit value in the grid-connected fluctuation index;
the judging unit is used for judging whether the accumulated probability distribution meets the probability level in the grid-connected fluctuation index;
the computing unit is used for directly computing the energy storage compensation power of the fluctuation amount if the grid-connected fluctuation amount limit value and the probability level in the grid-connected fluctuation index are met; otherwise, compensating the power fluctuation amount within the set time scale until the grid-connected fluctuation amount limit value and the probability level are met.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810722727.9A CN108879742B (en) | 2018-07-04 | 2018-07-04 | Energy storage optimal configuration method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810722727.9A CN108879742B (en) | 2018-07-04 | 2018-07-04 | Energy storage optimal configuration method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108879742A CN108879742A (en) | 2018-11-23 |
| CN108879742B true CN108879742B (en) | 2022-10-11 |
Family
ID=64298957
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810722727.9A Active CN108879742B (en) | 2018-07-04 | 2018-07-04 | Energy storage optimal configuration method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108879742B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103475015A (en) * | 2013-09-23 | 2013-12-25 | 国家电网公司 | Energy storage configuration method for output fluctuation of smooth grid-connected wind-solar power generation system |
| CN103580041A (en) * | 2013-11-08 | 2014-02-12 | 国家电网公司 | Capacity configuration method of hybrid energy storage system for stabilizing wind power fluctuation |
-
2018
- 2018-07-04 CN CN201810722727.9A patent/CN108879742B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103475015A (en) * | 2013-09-23 | 2013-12-25 | 国家电网公司 | Energy storage configuration method for output fluctuation of smooth grid-connected wind-solar power generation system |
| CN103580041A (en) * | 2013-11-08 | 2014-02-12 | 国家电网公司 | Capacity configuration method of hybrid energy storage system for stabilizing wind power fluctuation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108879742A (en) | 2018-11-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107979119B (en) | Battery charging control method and system of Mas fitting charging curve | |
| CN108011437B (en) | Hybrid energy storage power distribution method with overcharge and overdischarge protection device | |
| US10297877B2 (en) | Storage battery control device and storage battery control method | |
| US20150123621A1 (en) | Charging method of secondary battery | |
| CN109273787B (en) | Method and device for adjusting state of charge (SOC) of series lithium ion battery pack | |
| CN111301219A (en) | Electric vehicle battery control method, system, device and readable storage medium | |
| CN111276987A (en) | Electric energy storage control method and device of energy storage system | |
| CN112214889B (en) | Lithium battery charging method, system, electronic device, battery management system and storage medium | |
| CN113541174A (en) | Energy storage AGC PCS active power distribution method and system considering SOC sequencing | |
| KR102321029B1 (en) | System for heterogeneous power balancing using clustering, apparatus thereof and method thereof | |
| CN109494771B (en) | New energy power smoothing control method based on super capacitor charge state prediction | |
| US11563325B1 (en) | Methods and systems for automatic generation control of renewable energy resources | |
| CN113036843A (en) | Power distribution method and system for super-large-scale battery energy storage power station | |
| US20180041045A1 (en) | Regulating device control system, regulating device control method, and recording medium | |
| CN112928769B (en) | Photovoltaic hybrid energy storage control method capable of compensating prediction error and stabilizing fluctuation | |
| CN108879742B (en) | Energy storage optimal configuration method and system | |
| CN115912491B (en) | Distributed photovoltaic power generation peak regulation and frequency modulation control method, system, terminal and medium | |
| KR20160017682A (en) | Method for managing peak shaving in large scale battery energy storage system | |
| CN115939543A (en) | Self-adaptive method for charging current and charging initial temperature of lithium ion power battery system | |
| CN112542857B (en) | Method, device and equipment for controlling stable output of micro-grid system | |
| CN113131508A (en) | Method and system for quantifying spare capacity loss risk probability of power system | |
| KR102272911B1 (en) | System for balancing power using clustering, apparatus thereof and method thereof | |
| CN113619437B (en) | High-power charging control method for electric ship | |
| CN117439126B (en) | New energy collection region shared energy storage optimizing operation method and device | |
| CN110061493B (en) | Method and system for determining energy storage capacity of energy storage system |
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 |