CN109599879A - Consider the power distribution network active power dispatching method of energy storage device charge and discharge number optimization - Google Patents
Consider the power distribution network active power dispatching method of energy storage device charge and discharge number optimization Download PDFInfo
- Publication number
- CN109599879A CN109599879A CN201811503104.9A CN201811503104A CN109599879A CN 109599879 A CN109599879 A CN 109599879A CN 201811503104 A CN201811503104 A CN 201811503104A CN 109599879 A CN109599879 A CN 109599879A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- storage device
- critical point
- distribution network
- power
- 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
- 238000004146 energy storage Methods 0.000 title claims abstract description 132
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000005457 optimization Methods 0.000 title claims abstract description 14
- 230000001105 regulatory effect Effects 0.000 claims abstract description 81
- 238000010248 power generation Methods 0.000 claims abstract description 12
- 230000005611 electricity Effects 0.000 claims description 40
- 238000012217 deletion Methods 0.000 claims description 6
- 230000037430 deletion Effects 0.000 claims description 6
- 238000004321 preservation Methods 0.000 claims description 6
- 238000007599 discharging Methods 0.000 description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000004393 prognosis Methods 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
-
- 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
-
- H02J3/383—
-
- 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
-
- 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]
-
- 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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- 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
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The present invention relates to a kind of power distribution network active power dispatching methods of consideration energy storage device charge and discharge number optimization, belong to power distribution network dispatching automation technical field.It is predicted according to power distribution network load prediction a few days ago and photovoltaic power generation, obtains second day 96 future position critical point load curve；Since the 1st point, the energy storage for recording one day 96 future position acts demand.When critical point load is higher than the upper limit, energy storage device discharges, and is lower than lower limit, then energy storage device charges.When i-th point, when charge requirement is lower than energy storage device lower bound of capacity beyond the stored energy capacitance upper limit or electric discharge demand, the instruction of preceding i-1 point is optimized, preferentially meets the energy storage movement demand larger moment；Finally, 96 future position energy storage regulated quantitys are distributed to energy storage device with power form.The method of the present invention effectively reduces energy storage device charge and discharge number in power distribution network, extends the service life of energy storage device；Meanwhile the peak-valley difference of critical point load is reduced, effectively extend the update time of gateway device capacity.
Description
Technical field
The present invention relates to a kind of power distribution network active power dispatching methods of consideration energy storage device charge and discharge number optimization, belong to
Power distribution network dispatching automation technical field.
Background technique
In distribution network automated scheduling process, load prediction and photovoltaic power generation prediction module are an indispensable rings
Section, the two modules can have according to information such as weather prognosis with 15 minutes for the photovoltaic power generation a few days ago that the period provides second day
Function prediction and the active prediction result of load.On this basis, the correlation module of some distribution network automated technical fields, Cai Youke
Further the power distribution network method of operation and power generation, load injection can be set by the methods of Load flow calculation, calculate distribution
Each busbar voltage and each Branch Power Flow are netted, provides technical support for distribution network automated scheduling.Therefore, power distribution network is to energy storage device
Control generally use 15 minutes as the period, one day 96 point, to make full use of load prediction data and photovoltaic prediction data.
With the continuous raising of electricity need load, the peak-valley difference round the clock of distribution network load is continued to increase.By traditional
Generation Side power regulation is difficult to meet the economical operation requirement of power distribution network, simple to increase installed capacity and right by increasing input
Electric line carries out dilatation, not only higher cost, and capacity utilization is lower.Energy-storage battery technology graduallys mature, and changes
This case is charged in load valley by discharging in load peak, so that become can for the load management of Demand-side
Energy.Using the control to energy storage device, power equipment caused by capable of delaying because of off-capacity updates grid company, improves equipment
Utilization rate.But energy storage device charge and discharge number is limited, excessive charge and discharge number will lead to the reduction of energy storage device service life.Cause
How this considers the charge discharge life of energy storage itself, is energy storage device tune when carrying out operation of power networks optimization using energy storage device
Save the importance of strategy.
Summary of the invention
The purpose of the present invention is to propose to a kind of power distribution network active power scheduling of consideration energy storage device charge and discharge number optimization
Method, in scheduling process, control object is the energy storage device in power distribution network, to solve excellent using energy storage device progress power grid
When changing adjusting, the excessive problem of number is adjusted.
The power distribution network active power dispatching method proposed by the present invention for considering the optimization of energy storage device charge and discharge number, including with
Lower step:
(1) 96 future position total load predicted values of the operation plan center setting power distribution network of power distribution network at following one dayWith
Following one day 96 future position photovoltaic power generation values in power distribution networkWherein i is future position, and i ∈ (1~96), i are with 15 minutes
Period future position, according to total load predicted valueWith photovoltaic power generation valueObtain the movement of energy storage device in power distribution network
Area, the specific steps are as follows:
(1-1) calculates critical point 96 using following formula and predicts point load
(1-2) predicts point load according to above-mentioned critical point 96Calculate the active region of energy storage device in power distribution network:
Pt=avr*1.2
Pb=avr*0.8
Wherein, PavrFor critical point load average value, with critical point load average value PavrCentered on, the load average value at critical point
Upper and lower 20% is set separately a upper and lower bound, is denoted as PtAnd Pb；
When critical point load is in upper limit PtWith lower limit PbBetween when, critical point load is denoted as dead band value, when critical point load be higher than or
Equal to upper limit PtOr it is less than or equal to lower limit PbWhen, critical point load is denoted as zones values to be regulated；
(2) according to the active region of energy storage device in the power distribution network of step (1), determine that energy storage device is pre- at 96 in power distribution network
The energy storage device regulated quantity of measuring point, the specific steps are as follows:
(2-1) judges the critical point load of the i-th future position, if critical point load is equal to dead band value, energy storage device is not
Movement,If critical point load is equal to zones values to be regulated, further critical point load is judged, if critical point load
Less than or equal to lower limit Pb, then energy storage device records electric quantity change according to the difference power of 15 minutes critical point loads and lower limit
I.e.It carries out step (2-2), if critical point load is greater than or equal to upper limit Pt, then energy storage device
According to upper limit PtElectric quantity change is recorded with the difference power of 15 minutes critical point loadsI.e.
It carries out step (2-3)；
(2-2) records the energy storage device charging regulated quantity of i-th future position, and according to 15 minutes critical point loads and lower limit
The electricity regulated quantity of difference power record energy storage deviceI.e.By the electricity regulated quantityWith the current electric quantity E of energy storage devicecurrThe sum of stored energy capacitance upper limit E with energy storage devicemaxIt compares, ifThen by the electricity regulated quantityIt is stored in a charge sequence Qin-seqIn, and carry out step (2-
4), ifThen carry out step (2-5)；
(2-3) records the energy storage device electric discharge regulated quantity of the i future position, and according to the function of the upper limit and 15 minutes critical point loads
The electricity regulated quantity of rate difference record energy storage deviceBy the electricity regulated quantityWith the current electric quantity E of energy storage devicecurrIt
With the stored energy capacitance lower limit E with energy storage deviceminIt compares, ifThen by the electricity regulated quantity
It is stored in a Spike train Qout-seqIn, and step (2-6) is carried out, ifThen carry out step (2-7)；
(2-4) is by charge sequence Qin-seqThe electricity regulated quantity of the 1st future position to the (i-1)-th future position of middle preservation from greatly to
It is small to be ranked up, then it will wherein minimum amount of power regulated quantity be denoted asTo thisJudged, if Then by charge sequence Qin-seqThe charging regulated quantity at end is from Qin-seqMiddle deletion, and makeIt repeats
This step, until meetingAnd make charge sequence Qin-seqMiddle minimum charging regulated quantity are as follows:
(2-5) is by electricity regulated quantityIt is stored in charge sequence Qin-seqIn；
(2-6) is by Spike train Qout-seqThe electricity regulated quantity of the 1st future position to the (i-1)-th future position of middle preservation from it is small to
It is ranked up greatly, will wherein minimum amount of power regulated quantity be denoted asTo thisJudged, if Then by Spike train Qout-seqIn minimum electric discharge regulated quantity from Qout-seqMiddle deletion, and makeWeight
Duplicate step, until meetingAnd make Spike train Qout-seqIn minimum electric discharge adjust
Amount are as follows:
(2-7) is by the electricity regulated quantityIt is put into Spike train Qout-seq；
(2-8) judges future position i, if i less than 96, make i increase by 1, return step (2-1), until i be equal to 96,
It carries out step (3)；
(3) according to energy storage device in the power distribution network of step (2) 96 future positions energy storage device regulated quantity, with power shape
Formula distributes to each energy storage device of power distribution network, the specific steps are as follows:
The energy storage device electricity regulated quantity of 96 future positions is converted to power by (3-1), and the power representative that is negative sets energy storage
Standby charging, the power representative that is positive makes energy storage device discharge, according to the electricity regulated quantity of the energy storage device of the i-th future position, under utilization
Energy storage device is calculated in the adjusting general power of the i-th future position in formula
(3-2) according to the energy storage device of step (3-1) the i-th future position adjusting general powerUsing following formula, calculate
Obtain the charge and discharge regulating command of each energy storage device in power distribution networkRealize the distribution for considering the optimization of energy storage device charge and discharge number
The scheduling of net active power:
Wherein, n is the number of energy storage device in power distribution network, EnFor the current capacities of each energy storage device, EnmaxFor each storage
The maximum capacity of energy equipment.
The power distribution network active power dispatching method proposed by the present invention for considering the optimization of energy storage device charge and discharge number, advantage
It is:
The present invention considers the power distribution network active power dispatching method of energy storage device charge and discharge number optimization, fully considers energy storage
Place capacity, optimizes the adjusting of energy storage device, preferentially meets the regulatory demand of load peak and low ebb, meanwhile, pass through
Set up the method for adjusting dead zone, the excessive charge and discharge phenomena of energy storage device caused by avoiding because of load fluctuation.Therefore, tune of the present invention
Degree method effectively reduces energy storage device charge and discharge number in power distribution network, extends the service life of equipment；Simultaneously as load
Energy storage device discharges in power distribution network when peak, and energy storage device charges in power distribution network when load valley, reduces critical point
The peak-valley difference of load effectively extends the update time of gateway device capacity, improves the economy of power distribution network operation.
Detailed description of the invention
Fig. 1 is a kind of typical structure schematic diagram for the power distribution network that the method for the present invention is related to.
Specific embodiment
The power distribution network active power dispatching method proposed by the present invention for considering the optimization of energy storage device charge and discharge number, it is therein
A kind of typical structure of power distribution network is as shown in Figure 1, the critical point 10kV is the boundary of power distribution network and power transmission network.In the critical point 10kV right
Node on behalf power distribution network network may have the equipment such as load, energy storage and photovoltaic power generation below each node.Load prediction is given a few days ago
The predicted value of all loads is gone out, photovoltaic prediction is the predicted value of distribution photovoltaic power generation, and the predicted value at final critical point is then equal to negative
Lotus prediction subtracts photovoltaic prediction.
Method includes the following steps:
(1) 96 future position total load predicted values of the operation plan center setting power distribution network of power distribution network at following one dayWith
Following one day 96 future position photovoltaic power generation values in power distribution networkWherein i is future position, and i ∈ (1~96), i are with 15 minutes
Period future position, according to total load predicted valueWith photovoltaic power generation valueObtain the movement of energy storage device in power distribution network
Area, the specific steps are as follows:
(1-1) calculates critical point 96 using following formula and predicts point load
(1-2) predicts point load according to above-mentioned critical point 96Calculate the active region of energy storage device in power distribution network:
Pt=avr*1.2
Pb=avr*0.8
Wherein, PavrFor critical point load average value, with critical point load average value PavrCentered on, the load average value at critical point
Upper and lower 20% is set separately a upper and lower bound, is denoted as PtAnd Pb；
When critical point load is in upper limit PtWith lower limit PbBetween when, critical point load is denoted as dead band value, energy storage device is not joined at this time
With adjusting, when critical point load be greater than or equal to upper limit PtOr it is less than or equal to lower limit PbWhen, critical point load is denoted as area to be regulated
Value, at this point, energy storage device participates in adjusting；
(2) according to the active region of energy storage device in the power distribution network of step (1), determine that energy storage device is pre- at 96 in power distribution network
The energy storage device regulated quantity of measuring point, the specific steps are as follows:
Energy storage device, which is defined, in i-th point of energy storage regulated quantity isIt is characterized in the form of electricity, charging is positive, and discharging is
It is negative, the stored energy capacitance upper limit of energy storage device is set as Emax, lower limit Emin=0, current energy storage electricity is Ecurr, opened from i=1 point
Begin, gradually record 96 future position energy storage regulated quantitys, the regulated quantity that charges in energy storage regulated quantity is stored in a charge sequence
Qin-seq, one Spike train Q of electric discharge regulated quantity depositout-seq, to Qin-seqAnd Qout-seqIn regulated quantity by absolute value from greatly to
Small sequence, and each moment corresponding with charge and discharge regulated quantity is recorded respectively；
(2-1) judges the critical point load of the i-th future position, if critical point load is equal to dead band value, energy storage device is not
Movement,If critical point load is equal to zones values to be regulated, further critical point load is judged, if critical point load
Less than or equal to lower limit Pb, then energy storage device records electric quantity change according to the difference power of 15 minutes critical point loads and lower limit
I.e.It carries out step (2-2), if critical point load is greater than or equal to upper limit Pt, then energy storage device
According to upper limit PtElectric quantity change is recorded with the difference power of 15 minutes critical point loadsI.e.
It carries out step (2-3)；
(2-2) records the energy storage device charging regulated quantity of i-th future position, and according to 15 minutes critical point loads and lower limit
The electricity regulated quantity of difference power record energy storage deviceI.e.By the electricity regulated quantityWith the current electric quantity E of energy storage devicecurrThe sum of stored energy capacitance upper limit E with energy storage devicemaxIt compares, ifThen by the electricity regulated quantityIt is stored in a charge sequence Qin-seqIn, and carry out step (2-
4), ifThen carry out step (2-5)；
(2-3) records the energy storage device electric discharge regulated quantity of the i future position, and according to the function of the upper limit and 15 minutes critical point loads
The electricity regulated quantity of rate difference record energy storage deviceBy the electricity regulated quantityWith the current electric quantity E of energy storage devicecurrIt
With the stored energy capacitance lower limit E with energy storage deviceminIt compares, ifThen by the electricity regulated quantity
It is stored in a Spike train Qout-seqIn, and step (2-6) is carried out, ifThen carry out step (2-7)；
(2-4) is by charge sequence Qin-seqThe electricity regulated quantity of the 1st future position to the (i-1)-th future position of middle preservation from greatly to
It is small to be ranked up, then it will wherein minimum amount of power regulated quantity be denoted asTo thisJudged, if Then by charge sequence Qin-seqThe charging regulated quantity at end is from Qin-seqMiddle deletion, and makeIt repeats
This step, until meetingAnd make charge sequence Qin-seqMiddle minimum charging regulated quantity are as follows:
(2-5) is by electricity regulated quantityIt is stored in charge sequence Qin-seqIn；
(2-6) is by Spike train Qout-seqThe electricity regulated quantity of the 1st future position to the (i-1)-th future position of middle preservation from it is small to
It is ranked up greatly, will wherein minimum amount of power regulated quantity be denoted asTo thisJudged, if Then by Spike train Qout-seqIn minimum electric discharge regulated quantity from Qout-seqMiddle deletion, and makeWeight
Duplicate step, until meetingAnd make Spike train Qout-seqIn minimum electric discharge adjust
Amount are as follows:
(2-7) is by the electricity regulated quantityIt is put into Spike train Qout-seq；
(2-8) judges future position i, if i less than 96, make i increase by 1, return step (2-1), until i be equal to 96,
It carries out step (3)；
(3) according to energy storage device in the power distribution network of step (2) 96 future positions energy storage device regulated quantity, with power shape
Formula distributes to each energy storage device of power distribution network, the specific steps are as follows:
The energy storage device electricity regulated quantity of 96 future positions is converted to power by (3-1), and the power representative that is negative sets energy storage
Standby charging, the power representative that is positive makes energy storage device discharge, according to the electricity regulated quantity of the energy storage device of the i-th future position, under utilization
Energy storage device is calculated in the adjusting general power of the i-th future position in formula
(3-2) according to the energy storage device of step (3-1) the i-th future position adjusting general powerUsing following formula, calculate
Obtain the charge and discharge regulating command of each energy storage device in power distribution networkRealize the distribution for considering the optimization of energy storage device charge and discharge number
The scheduling of net active power:
Wherein, n is the number of energy storage device in power distribution network, EnFor the current capacities of each energy storage device, EnmaxFor each storage
The maximum capacity of energy equipment.
Claims (1)
1. a kind of power distribution network active power dispatching method for considering the optimization of energy storage device charge and discharge number, which is characterized in that the party
Method the following steps are included:
(1) 96 future position total load predicted values of the operation plan center setting power distribution network of power distribution network at following one dayAnd distribution
Following one day 96 future position photovoltaic power generation values in netWherein i is future position, and i ∈ (1~96), i are with 15 minutes weeks
The future position of phase, according to total load predicted valueWith photovoltaic power generation valueThe active region of energy storage device in power distribution network is obtained, specifically
Steps are as follows:
(1-1) calculates critical point 96 using following formula and predicts point load
(1-2) predicts point load according to above-mentioned critical point 96Calculate the active region of energy storage device in power distribution network:
Pt=Pavr*1.2
Pb=Pavr*0.8
Wherein, PavrFor critical point load average value, with critical point load average value PavrCentered on, at critical point load average value it is upper,
Lower 20% is set separately a upper and lower bound, is denoted as PtAnd Pb；
When critical point load is in upper limit PtWith lower limit PbBetween when, critical point load is denoted as dead band value, load is greater than or equal to when critical point
Upper limit PtOr it is less than or equal to lower limit PbWhen, critical point load is denoted as zones values to be regulated；
(2) according to the active region of energy storage device in the power distribution network of step (1), determine that energy storage device is in 96 future positions in power distribution network
Energy storage device regulated quantity, the specific steps are as follows:
(2-1) judges the critical point load of the i-th future position, if critical point load is equal to dead band value, energy storage device is failure to actuate,If critical point load be equal to zones values to be regulated, further critical point load is judged, if critical point load be less than or
Equal to lower limit Pb, then energy storage device records electric quantity change according to the difference power of 15 minutes critical point loads and lower limitI.e.It carries out step (2-2), if critical point load is greater than or equal to upper limit Pt, then energy storage device is pressed
According to upper limit PtElectric quantity change is recorded with the difference power of 15 minutes critical point loadsI.e. Into
Row step (2-3)；
(2-2) records the energy storage device charging regulated quantity of i-th future position, and according to 15 minutes critical point loads and lower limit
The electricity regulated quantity of difference power record energy storage deviceI.e.By the electricity regulated quantityWith the current electric quantity E of energy storage devicecurrThe sum of stored energy capacitance upper limit E with energy storage devicemaxIt compares, ifThen by the electricity regulated quantityIt is stored in a charge sequence Qin-seqIn, and carry out step (2-
4), ifThen carry out step (2-5)；
(2-3) records the energy storage device electric discharge regulated quantity of the i future position, and according to the difference power of the upper limit and 15 minutes critical point loads
Record the electricity regulated quantity of energy storage deviceBy the electricity regulated quantityWith the current electric quantity E of energy storage devicecurrThe sum of
With the stored energy capacitance lower limit E of energy storage deviceminIt compares, ifThen by the electricity regulated quantityIt deposits
Enter a Spike train Qout-seqIn, and step (2-6) is carried out, ifThen carry out step (2-7)；
(2-4) is by charge sequence Qin-seqThe electricity regulated quantity of the 1st future position to the (i-1)-th future position of middle preservation from greatly to
It is small to be ranked up, then it will wherein minimum amount of power regulated quantity be denoted asTo thisJudged, if Then by charge sequence Qin-seqThe charging regulated quantity at end is from Qin-seqMiddle deletion, and makeIt repeats
This step, until meetingAnd make charge sequence Qin-seqMiddle minimum charging regulated quantity are as follows:
(2-5) is by electricity regulated quantityIt is stored in charge sequence Qin-seqIn；
(2-6) is by Spike train Qout-seqThe electricity regulated quantity of the 1st future position to the (i-1)-th future position of middle preservation from small to large into
Row sequence, will wherein minimum amount of power regulated quantity be denoted asTo thisJudged, if Then by Spike train Qout-seqIn minimum electric discharge regulated quantity from Qout-seqMiddle deletion, and makeWeight
Duplicate step, until meetingAnd make Spike train Qout-seqIn minimum electric discharge adjust
Amount are as follows:
(2-7) is by the electricity regulated quantityIt is put into Spike train Qout-seq；
(2-8) judges future position i, if i less than 96, make i increase by 1, return step (2-1), until i be equal to 96, carry out
Step (3)；
(3) divided according to energy storage device in the power distribution network of step (2) in the energy storage device regulated quantity of 96 future positions with power form
Each energy storage device of dispensing power distribution network, the specific steps are as follows:
The energy storage device electricity regulated quantity of 96 future positions is converted to power by (3-1), and the power representative that is negative fills energy storage device
Electricity, the power representative that is positive make energy storage device discharge, according to the electricity regulated quantity of the energy storage device of the i-th future position, utilize following formula meter
Calculation obtains energy storage device in the adjusting general power of the i-th future position
(3-2) according to the energy storage device of step (3-1) the i-th future position adjusting general powerUsing following formula, it is calculated
The charge and discharge regulating command of each energy storage device in power distribution networkIt realizes and considers that the power distribution network of energy storage device charge and discharge number optimization has
Function power dispatching:
Wherein, n is the number of energy storage device in power distribution network, EnFor the current capacities of each energy storage device, EnmaxIt is set for each energy storage
Standby maximum capacity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811503104.9A CN109599879B (en) | 2018-12-10 | 2018-12-10 | Power distribution network active power scheduling method considering energy storage device charging and discharging times optimization |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811503104.9A CN109599879B (en) | 2018-12-10 | 2018-12-10 | Power distribution network active power scheduling method considering energy storage device charging and discharging times optimization |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109599879A true CN109599879A (en) | 2019-04-09 |
| CN109599879B CN109599879B (en) | 2022-02-22 |
Family
ID=65962252
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811503104.9A Active CN109599879B (en) | 2018-12-10 | 2018-12-10 | Power distribution network active power scheduling method considering energy storage device charging and discharging times optimization |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109599879B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111709574A (en) * | 2020-06-16 | 2020-09-25 | 广东电网有限责任公司 | Distributed cluster configuration scheduling method, computer equipment and storage medium |
| CN112736902A (en) * | 2020-12-24 | 2021-04-30 | 国网山西省电力公司 | STL decomposition-based time series short-term power load prediction method |
| CN114561667A (en) * | 2022-04-11 | 2022-05-31 | 阳光氢能科技有限公司 | Renewable energy hydrogen production system and start-stop control method of hydrogen production equipment thereof |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630840A (en) * | 2009-08-12 | 2010-01-20 | 电子科技大学 | Intelligent control system for microgrid energy |
| CN102780236A (en) * | 2012-08-11 | 2012-11-14 | 山东大学 | Active optimal control system of wind and light storage combined power generation system and method |
| CN103311942A (en) * | 2013-03-18 | 2013-09-18 | 国家电网公司 | Control method of battery energy storage system for peak clipping and valley filling in distribution network |
| CN103475020A (en) * | 2013-08-22 | 2013-12-25 | 国电联合动力技术有限公司 | Method for controlling load following operation of micro-grid |
| CN103606967A (en) * | 2013-11-26 | 2014-02-26 | 华中科技大学 | Dispatching method for achieving robust operation of electrical power system |
| CN103887816A (en) * | 2014-02-25 | 2014-06-25 | 国家电网公司 | Multi-component composite energy storage system grid combination control method based on power prediction |
| CN104242329A (en) * | 2014-09-12 | 2014-12-24 | 上海电力学院 | Micro-grid hybrid energy storage system power distribution method based on fuzzy control rules |
| CN104682380A (en) * | 2013-12-03 | 2015-06-03 | 北京睿能世纪科技有限公司 | Power grid load dispatching instruction response method and power grid load dispatching instruction response system |
| CN104967149A (en) * | 2015-06-29 | 2015-10-07 | 山东电力研究院 | Micro power grid wind and solar energy storage model prediction control method |
| CN105515209A (en) * | 2016-01-28 | 2016-04-20 | 山东鲁能智能技术有限公司 | Microgrid hybrid energy storage system and control method thereof |
| CN106410831A (en) * | 2016-11-15 | 2017-02-15 | 广东电网有限责任公司茂名供电局 | Method and system for active distribution network energy storage configuration |
| CN107181272A (en) * | 2017-05-23 | 2017-09-19 | 国网吉林省电力有限公司电力科学研究院 | A kind of wind electricity digestion method in utilization energy-storage system lifting peak regulation space |
| CN107294122A (en) * | 2017-04-17 | 2017-10-24 | 国网浙江省电力公司电力科学研究院 | A kind of mixed energy storage system is layered dynamic control method |
| CN107482679A (en) * | 2017-08-25 | 2017-12-15 | 河海大学 | Consider the active distribution network Optimization Scheduling a few days ago of energy-storage system discharge and recharge number |
| CN107623323A (en) * | 2017-10-17 | 2018-01-23 | 酒泉职业技术学院 | Micro-capacitance sensor operation reserve under a kind of Demand Side Response |
| CN108471130A (en) * | 2018-04-25 | 2018-08-31 | 合肥工业大学 | Meter and the battery energy storage system power allocation scheme of optimization loss |
-
2018
- 2018-12-10 CN CN201811503104.9A patent/CN109599879B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630840A (en) * | 2009-08-12 | 2010-01-20 | 电子科技大学 | Intelligent control system for microgrid energy |
| CN102780236A (en) * | 2012-08-11 | 2012-11-14 | 山东大学 | Active optimal control system of wind and light storage combined power generation system and method |
| CN103311942A (en) * | 2013-03-18 | 2013-09-18 | 国家电网公司 | Control method of battery energy storage system for peak clipping and valley filling in distribution network |
| CN103475020A (en) * | 2013-08-22 | 2013-12-25 | 国电联合动力技术有限公司 | Method for controlling load following operation of micro-grid |
| CN103606967A (en) * | 2013-11-26 | 2014-02-26 | 华中科技大学 | Dispatching method for achieving robust operation of electrical power system |
| CN104682380A (en) * | 2013-12-03 | 2015-06-03 | 北京睿能世纪科技有限公司 | Power grid load dispatching instruction response method and power grid load dispatching instruction response system |
| CN103887816A (en) * | 2014-02-25 | 2014-06-25 | 国家电网公司 | Multi-component composite energy storage system grid combination control method based on power prediction |
| CN104242329A (en) * | 2014-09-12 | 2014-12-24 | 上海电力学院 | Micro-grid hybrid energy storage system power distribution method based on fuzzy control rules |
| CN104967149A (en) * | 2015-06-29 | 2015-10-07 | 山东电力研究院 | Micro power grid wind and solar energy storage model prediction control method |
| CN105515209A (en) * | 2016-01-28 | 2016-04-20 | 山东鲁能智能技术有限公司 | Microgrid hybrid energy storage system and control method thereof |
| CN106410831A (en) * | 2016-11-15 | 2017-02-15 | 广东电网有限责任公司茂名供电局 | Method and system for active distribution network energy storage configuration |
| CN107294122A (en) * | 2017-04-17 | 2017-10-24 | 国网浙江省电力公司电力科学研究院 | A kind of mixed energy storage system is layered dynamic control method |
| CN107181272A (en) * | 2017-05-23 | 2017-09-19 | 国网吉林省电力有限公司电力科学研究院 | A kind of wind electricity digestion method in utilization energy-storage system lifting peak regulation space |
| CN107482679A (en) * | 2017-08-25 | 2017-12-15 | 河海大学 | Consider the active distribution network Optimization Scheduling a few days ago of energy-storage system discharge and recharge number |
| CN107623323A (en) * | 2017-10-17 | 2018-01-23 | 酒泉职业技术学院 | Micro-capacitance sensor operation reserve under a kind of Demand Side Response |
| CN108471130A (en) * | 2018-04-25 | 2018-08-31 | 合肥工业大学 | Meter and the battery energy storage system power allocation scheme of optimization loss |
Non-Patent Citations (4)
| Title |
|---|
| DING WANG，等: "Software Design for Short-Term Prediction of Wind Power Generation and Electrical Load in Jilin", 《2018 2ND IEEE ADVANCED INFORMATION MANAGEMENT,COMMUNICATES,ELECTRONIC AND AUTOMATION CONTROL CONFERENCE(IMCEC 2018)》 * |
| 刘波，等: "主动配电网储能优化规划", 《仪器仪表学报》 * |
| 李建林，等: "储能系统容量优化配置及全寿命周期经济性评估研究综述", 《电源学报》 * |
| 王文宾，等: "微网下风光储预测滚动协调优化策略", 《电力系统及其自动化学报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111709574A (en) * | 2020-06-16 | 2020-09-25 | 广东电网有限责任公司 | Distributed cluster configuration scheduling method, computer equipment and storage medium |
| CN112736902A (en) * | 2020-12-24 | 2021-04-30 | 国网山西省电力公司 | STL decomposition-based time series short-term power load prediction method |
| CN112736902B (en) * | 2020-12-24 | 2023-04-04 | 国网山西省电力公司 | STL decomposition-based time series short-term power load prediction method |
| CN114561667A (en) * | 2022-04-11 | 2022-05-31 | 阳光氢能科技有限公司 | Renewable energy hydrogen production system and start-stop control method of hydrogen production equipment thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109599879B (en) | 2022-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109559035B (en) | Urban distribution network double-layer planning method considering flexibility | |
| Wang et al. | Real-time coordinated voltage control of PV inverters and energy storage for weak networks with high PV penetration | |
| Abdeltawab et al. | Mobile energy storage scheduling and operation in active distribution systems | |
| CN108667052B (en) | Multi-type energy storage system planning configuration method and system for virtual power plant optimized operation | |
| CN110826880B (en) | Active power distribution network optimal scheduling method for large-scale electric automobile access | |
| CN107994595A (en) | A kind of system of peak load shifting control method and system and the application control method | |
| Louie et al. | Superconducting magnetic energy storage (SMES) for energy cache control in modular distributed hydrogen-electric energy systems | |
| CN109599879A (en) | Consider the power distribution network active power dispatching method of energy storage device charge and discharge number optimization | |
| CN102624017A (en) | Battery energy storage system peak clipping and valley filling real-time control method based on load prediction | |
| CN103311953B (en) | Containing distributed power source and energy-storage system power distribution network determine exchange power control method | |
| CN107644118B (en) | Intelligent power distribution soft switch time sequence optimization method integrating energy storage | |
| CN111244985B (en) | Distributed energy storage sequence optimization configuration method based on node comprehensive sensitivity coefficient | |
| Tran et al. | Energy management and dynamic control in composite energy storage system for micro-grid applications | |
| Rossi et al. | Real-time optimization of the battery banks lifetime in hybrid residential electrical systems | |
| KR20130074045A (en) | A control method for controlling energy of building based ob microgrid and system for same | |
| Deng et al. | Hierarchical distributed frequency regulation strategy of electric vehicle cluster considering demand charging load optimization | |
| CN105720597B (en) | For optimizing the method that electric vehicle fills the integrated power station charge-discharge electric power of storage | |
| CN108258694A (en) | Alternating current-direct current microgrid control method for coordinating based on electric power electric transformer | |
| Raoufat et al. | Model predictive BESS control for demand charge management and PV-utilization improvement | |
| CN116231765B (en) | Virtual power plant output control method | |
| CN110766240B (en) | Layered energy storage configuration method for rapid charging station in different scenes | |
| CN116565908A (en) | Flexible traction substation energy management method for photovoltaic and energy storage system access | |
| CN116365506A (en) | Energy-saving and loss-reducing optimization method and system for active power distribution network containing distributed photovoltaic | |
| Zhang et al. | Hierarchical MPC-based energy management and frequency regulation participation of a virtual power plant | |
| Sjodin et al. | Risk-mitigated optimal power flow with high wind penetration |
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 |