CN112018820B - EMS control method for optical storage and charging system - Google Patents

EMS control method for optical storage and charging system Download PDF

Info

Publication number
CN112018820B
CN112018820B CN202011136109.XA CN202011136109A CN112018820B CN 112018820 B CN112018820 B CN 112018820B CN 202011136109 A CN202011136109 A CN 202011136109A CN 112018820 B CN112018820 B CN 112018820B
Authority
CN
China
Prior art keywords
photovoltaic
charging
power
energy
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
Application number
CN202011136109.XA
Other languages
Chinese (zh)
Other versions
CN112018820A (en
Inventor
施海涛
司静
杨帆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wotai Energy Co.,Ltd.
Original Assignee
Jiangsu Huizhi Energy Engineering Technology Innovation Research Institute Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangsu Huizhi Energy Engineering Technology Innovation Research Institute Co ltd filed Critical Jiangsu Huizhi Energy Engineering Technology Innovation Research Institute Co ltd
Priority to CN202011136109.XA priority Critical patent/CN112018820B/en
Publication of CN112018820A publication Critical patent/CN112018820A/en
Application granted granted Critical
Publication of CN112018820B publication Critical patent/CN112018820B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • 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
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A30/00—Adapting or protecting infrastructure or their operation
    • 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
    • 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

The invention discloses an EMS control method for a light storage and charging system, which is characterized by collecting photovoltaic power generation and energy utilization data of users in the past, predicting a photovoltaic power generation curve according to weather forecast data, adjusting the energy storage and pre-charging amount in a valley period, and combining the current user load and a photovoltaic data real-time sampling value to perform self-adaptive charging and discharging in a specified time period. The method can predict the alternate-day photovoltaic power generation curve and the user load curve in advance, adaptively control the energy storage pre-charging amount in the valley period, fully utilize the photovoltaic surplus power to charge the energy storage system through the internet electricity, and realize the maximum benefit.

Description

EMS control method for optical storage and charging system
Technical Field
The invention relates to a control method of an optical storage and charging system, and belongs to the technical field of energy storage power station control.
Background
The design of EMS strategies of the existing optical storage and charging energy storage power station is as follows:
1. the pre-charging amount of the energy storage in the valley period can be regularly set to be an SOC value (0-100%), and the design value needs to be manually modified.
2. Photovoltaic no surplus electricity is on line at peak time in daytime, and energy storage and discharge are realized. And the photovoltaic power generation is kept level with the user load, and the energy storage is standby. Photovoltaic has surplus electricity and goes to the net, and the energy storage charges.
3. And during the white balance period, photovoltaic no-surplus power is used for surfing the internet, or the photovoltaic no-surplus power is kept level with the user load, and energy storage standby is carried out. Photovoltaic has surplus electricity and goes to the net, and the energy storage charges.
4. Photovoltaic no surplus electricity is on line at peak time at night, and energy storage and discharge are realized.
Although the pre-charging amount can be controlled simply according to seasonality by regularly setting the SOC value, the SOC is a fixed value, if the setting is small, the illumination in the alternate days is not good, the pre-charging amount in the energy storage valley period is small, the full-charging and full-discharging function under the nominal capacity cannot be realized, if the setting is large, the illumination in the alternate days is good, and the photovoltaic surplus electricity on-grid electricity quantity cannot be fully utilized. The setting of the SOC value can only be qualitatively analyzed, and photovoltaic prediction and real-time quantization cannot be achieved, so that resource waste is caused.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides an EMS control method for a light storage and charging system, a cloud platform predicts a photovoltaic power generation curve every other day through user historical load data, photovoltaic power historical data, historical weather forecast and solar irradiance, foundation cloud map data where the EMS is located and weather forecast data every other day, calculates the available surplus power on-line electricity of the photovoltaic according to the user load data prediction curve, calculates the pre-charging value in the valley period of the current day, pushes simulation operation data to a local EMS by the cloud platform, the local EMS automatically calibrates the charging SOC value in the valley period, the local EMS refers to the cloud platform push data and the real-time sampling curve to make charging and discharging decisions, on the premise that the photovoltaic is not on-line with surplus power, the energy storage is discharged in the peak period preferentially, and on the premise that the photovoltaic is on-line with surplus power, the energy storage is charged preferentially. And meanwhile, local EMS data are uploaded to a cloud platform for analysis and calibration within a specified interval period.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
an EMS control method for an optical storage and charging system comprises the following steps:
step 1, combining the peak valley leveling period of a local power grid with the photovoltaic power generation period to subdivide working periods, wherein the working periods comprise a valley period, a peak period in the morning, a peak period in the afternoon, a peak period in the evening and a peak period in the evening, and the working periods comprise:
a. and (3) a valley period: charging is carried out by utilizing the valley period of the power grid.
b. Morning peak: and when the photovoltaic has balance and sells electricity to the power grid and the stored energy is not fully stored, the stored energy absorbs electric quantity, the photovoltaic is not enough to absorb load, and the stored energy releases electric quantity. The energy storage and power storage and the discharge are linked with the photovoltaic.
c. In the afternoon peace period: and when the photovoltaic has balance and sells electricity to the power grid and the stored energy is not fully stored, the stored energy only absorbs the electric quantity, the photovoltaic is not enough to absorb the load, and the stored energy is in standby.
d. Evening peak: the stored energy releases the stored electric quantity.
e. Evening: and (4) energy storage standby.
And 2, establishing an alternate-day user energy and photovoltaic power generation simulation curve according to the historical user energy data and the weather forecast.
And 3, energy storage charging and discharging logic judgment and valley period charging amount calculation.
And (3) an energy storage and charging stage: valley period, peak period in the morning, and mid-afternoon.
Energy storage dischargeable stage: morning peak, evening peak.
Priority principle: the energy storage and charging stage is full according to the nominal capacity, and all the electric quantity Q is discharged in the peak period of nightzPhotovoltaic surplus power expected charge QgExpected remaining capacity Q after peak morning energy releasesEnergy storage expected release electric quantity Q at peak of morningfAnd the electric quantity Q is the electric quantity Q when the battery is charged to the specified SOC value in the valley periodixSOC represents the state of charge, and the original remaining charge Q before the start of charging at the valley periodyExpected charge Q during the valley periodc：
Qz=Qg+Qs。Qix=Qs+Qf。Qix=Qy+Qc. Let QyIf not than 0, then Qix= Qc，Qc= Qz+ Qf- Qg。
Difference delta P between active power and load power of photovoltaic instantaneous power generation at the same timei：
△Pi=Pgi-Pi ，△PiAnd when the current is less than 0, the stored energy is discharged. Delta PiWhen the voltage is more than 0, the energy is stored and charged, PgiFor photovoltaic instantaneous power generation active power at moment i, PiFor the load power at time i,. DELTA.tiIs DeltaPiDuration, i.e. Δ ti=ti+1-ti，
tiAt peak morning and when Δ PiWhen < 0, Qf=∑△Pi×△ti×α1i。
tiAt peak morning or mid afternoon and when Δ PiWhen > 0, Qg=∑△Pi×△ti×α2i
To sum up: qc= Qz+ ∑△Pi×△ti×α1i - ∑△Pi×△ti×α2i
Wherein alpha is1i Error correction system for considering energy storage discharge power affected by time differenceNumber a2iThe error correction coefficient generated by the influence of the time difference on the energy storage charging power is considered.
Step 4, load power Pi=Pbi+Pgi+PciWherein P isbiRepresenting the power at grid connection, PciAnd the energy storage charging and discharging power is shown.
Preferably: setting a delay time interval ts1At less than ts1In the space, Ps1＜△PiLess than 0, no discharge is started when the stored energy is less than ts2In the space, Ps2＞△PiWhen the energy storage is more than 0, the charging is not started, wherein, Ps1Indicates a discharge limit set value, Ps2Indicating the charge limit setting value.
Preferably: and 4, correcting the energy storage charging and discharging power during discharging of the stored energy: pci=△Pi×α1i. The energy storage charging and discharging power is corrected during energy storage charging: pci=△Pi×α2i。
Preferably: according to expected charge quantity Q in valley periodcThe calibration valley period is charged to a specified SOC value.
Preferably: upload load power PiPhotovoltaic instantaneous power generation active power PgiEnergy storage charging and discharging power PciAnd carrying out comparison and calibration.
Compared with the prior art, the invention has the following beneficial effects:
the method introduces a mode of combining the expected load and the photovoltaic expected power generation data, calculates the concept of the energy storage pre-charging amount in the valley period, considers that the energy storage is not powered upside down in the actual execution process, fully utilizes the photovoltaic surplus power to charge the energy storage in the part of the electric quantity on the internet, introduces a judgment mode of a correction coefficient, realizes the comparison of the monitoring data and the simulation data, fully exerts the functions of local EMS monitoring and cloud platform big data calculation, and realizes the maximization of the optical storage charging economic benefit.
Drawings
Fig. 1 is a diagram of an optical storage and charging system EMS;
fig. 2 is a graph for load versus photovoltaic prediction.
Detailed Description
The present invention is further illustrated by the following description in conjunction with the accompanying drawings and the specific embodiments, it is to be understood that these examples are given solely for the purpose of illustration and are not intended as a definition of the limits of the invention, since various equivalent modifications will occur to those skilled in the art upon reading the present invention and fall within the limits of the appended claims.
A control method of a light storage and charging system EMS is as shown in figure 1, the light storage and charging system EMS comprises a main transformer metering and collecting unit 1, a photovoltaic metering and collecting unit 2, a control system EMS3, a cloud platform 4, a battery 5, an energy storage system direct current high voltage box 6, a PCS energy storage system converter 7 and an in-cabinet metering and collecting unit 8, wherein the three-phase 380V power supply, the in-cabinet metering and collecting unit 8, the PCS energy storage system converter 7, the energy storage system direct current high voltage box 6 and the battery 5 are sequentially connected, the control system EMS3 is respectively connected with the main transformer metering and collecting unit 1, the photovoltaic metering and collecting unit 2, the control system EMS3, the cloud platform 4, the energy storage system direct current high voltage box 6, the PCS energy storage system converter 7 and the in-cabinet metering and collecting unit 8, wherein the main transformer metering and collecting unit 1 is used for collecting power at a grid-connected position and metering residual photovoltaic grid-connected electric quantity. The photovoltaic metering and collecting unit 2 is used for collecting photovoltaic power generation power and metering photovoltaic power generation capacity. The control system EMS3 is used for the local EMS to execute the control system and has the function of uploading data to the cloud platform. The cloud platform 4 predicts photovoltaic power generation data according to historical user energy data and weather forecast, calculates and provides setting values required by local EMS execution, analyzes and feeds back execution data uploaded by the local EMS, and optimizes a charging and discharging scheme. The in-cabinet metering and collecting unit 8 is used for collecting the charging and discharging power of the energy storage system and metering the charging and discharging electric quantity of the energy storage system, and the control method comprises the following steps:
step 1, combining the peak valley period and the photovoltaic power generation period of a local power grid to subdivide working periods, wherein the working periods comprise a valley period, a peak period in the morning, a peak period in the afternoon, a peak period in the evening and a peak period in the evening, taking a Jiangsu power grid as an example:
a. and (3) a valley period: charging by using a grid valley period, a charging stage 0: 00-8: 00.
b. morning peak: 8: 00-12: 00, when the photovoltaic has balance and sells electricity to the power grid and the stored energy is not fully stored, the stored energy absorbs electric quantity, the photovoltaic is not enough to absorb the load, and the stored energy releases electric quantity. The energy storage and power storage and the discharge are linked with the photovoltaic.
c. In the afternoon peace period: 12: 00-17: 00, when the photovoltaic has balance and sells electricity to the power grid and the stored energy is not fully stored, the stored energy only absorbs the electricity, the photovoltaic is not enough to absorb the load, and the stored energy is in standby.
d. Evening peak: 17: 00-21: and 00, releasing stored energy to store electric quantity.
e. Evening: 21: 00-24: and 00, energy storage standby.
And 2, establishing an alternate-day user energy and photovoltaic power generation simulation curve by the cloud platform according to the historical user energy data and weather forecast, as shown in fig. 2.
And 3, performing energy storage main charge and discharge logic judgment and calculating the valley period charge amount.
And (3) an energy storage and charging stage: and (3) valley period 0: 00-8: 00. peak morning 8: 00-12: 00 (photovoltaic surplus power grid part), 12 in the afternoon period: 00-17: 00 (photovoltaic surplus power grid part).
Energy storage dischargeable stage: peak morning 8: 00-12: 00 (photovoltaic has no surplus electricity to be on line), and 17: 00-21: 00 (photovoltaic without residual electricity on-line).
Priority principle: the energy storage and charging stage is full according to the nominal capacity, and all the electric quantity Q is discharged in the peak period of nightzPhotovoltaic surplus power expected charge QgExpected remaining capacity Q after peak morning energy releasesEnergy storage expected release electric quantity Q at peak of morningfAnd the electric quantity Q is the electric quantity Q when the battery is charged to the specified SOC value in the valley periodixSOC represents the state of charge, and the original remaining charge Q before the start of charging at the valley periodyExpected charge Q during the valley periodc：
Qz=Qg+Qs。Qix=Qs+Qf。Qix=Qy+Qc. Let QyIf not than 0, then Qix= Qc，Qc= Qz+ Qf- Qg。
The method for evaluating the valley period charging amount refers to a photovoltaic expected power generation curve and an expected load curve.
Difference delta P between active power and load power of photovoltaic instantaneous power generation at the same timei：
△Pi=Pgi-Pi ，△PiAnd when the current is less than 0, the stored energy is discharged. Delta PiWhen the voltage is higher than 0, the energy storage and charging (the setting is combined with the priority principle), PgiFor photovoltaic instantaneous power generation active power at moment i, PiFor the load power at time i,. DELTA.PiFor simultaneous photovoltaic and load difference, Δ tiIs DeltaPiDuration, i.e. Δ ti=ti+1-ti，△tiThe interval is adjusted to be millisecond or second according to the actual working condition.
tiAt peak morning (8: 00-12: 00) and when delta PiWhen < 0, Qf=∑△Pi×△ti×α1i。
tiIs positioned at the peak of the morning or at the average of the afternoon (8: 00-17: 00) and is as delta PiWhen > 0, Qg=∑△Pi×△ti×α2i
To sum up: qc= Qz+ ∑△Pi×△ti×α1i - ∑△Pi×△ti×α2i
Wherein alpha is1i To take account of the error correction factor resulting from the effect of the time difference on the energy-storing discharge power, a2iThe error correction coefficient generated by the influence of the time difference on the energy storage charging power is considered.
All electric quantities QzNominal capacity of the battery, and state of health S of the batteryOHBattery charging and discharging depth DODEtc., and will not be described again.
Step 4, the photovoltaic metering and collecting unit 2 collects photovoltaic instantaneous power generation active power PgiThe main transformer metering and collecting unit 1 collects power at a grid-connected position, and the metering and collecting unit 8 in the cabinet collects energy storage charging and discharging power Pci(this power can also be obtained from PCS, with lower precision), load power Pi=Pbi+Pgi+Pci(photovoltaic actually not transmitting electricity P backwards)biNot less than 0, photovoltaic reverse power transmission PbiLess than 0; energy storage discharge or standby PciNot less than 0, energy storage charging Pci< 0) in which PbiRepresenting the power at grid connection, PciAnd the energy storage charging and discharging power is shown.
The energy storage charging and discharging power is corrected when the energy storage is discharged: pci=△Pi×α1i(to take account of delays, errors, to ensure that power is not sent backwards). The energy storage charging and discharging power is corrected during energy storage charging: pci=△Pi×α2i(consider delay, error, ensure to be able to utilize peak period, flat period surplus photovoltaic surplus electricity charge).
The actual curve may have special conditions: delta Pi＜0，△PiIf the delay time interval t is greater than 0, the sampling data can irregularly and rapidly appear for a plurality of times, the EMS charging and discharging decision can be influenced by the delay of the sampling data, and therefore, the design of delay judgment can be introduced, namely, the delay time interval ts1，At less than ts1In the space, Ps1＜△PiLess than 0, no discharge is started when the stored energy is less than ts2In the space, Ps2＞△PiAnd > 0, the stored energy does not start charging, wherein Ps1 represents a discharging limit set value, and Ps2 represents a charging limit set value.
Step 5, according to the expected charge quantity Q in the valley periodcThe calibration valley period is charged to a specified SOC value.
Step 6, the local EMS transmits the load power P in a non-working interval, such as (21: 00-24: 00)iPhotovoltaic instantaneous power generation active power PgiEnergy storage charging and discharging power PciAnd comparing and calibrating the daily load data by the cloud platform.
According to the invention, a charging and discharging concept combining user load data and a photovoltaic power generation pre-judging system is introduced, on the premise of meeting grid-connected operation of an energy storage system, a delay interval and a correction coefficient are introduced in charging and discharging judgment, an alternate-day photovoltaic power generation curve and a user load curve are predicted in advance, and a valley period energy storage pre-charging amount is controlled in a self-adaptive manner, so that the photovoltaic surplus power on-line electricity is fully utilized to charge the energy storage system under the existing energy storage nominal capacity limit value, and the benefit maximization is realized.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.

Claims (5)

1. An EMS control method for an optical storage and charging system is characterized by comprising the following steps:
step 1, combining the peak valley leveling period of a local power grid with the photovoltaic power generation period to subdivide working periods, wherein the working periods comprise a valley period, a peak period in the morning, a peak period in the afternoon, a peak period in the evening and a peak period in the evening, and the working periods comprise:
a. and (3) a valley period: charging by utilizing a power grid valley period;
b. morning peak: when the photovoltaic is surplus and sells electricity to the power grid and the stored energy is not fully stored, the stored energy absorbs electric quantity, the photovoltaic is not enough to absorb the load, and the stored energy releases electric quantity; the energy storage and electricity storage and the photovoltaic are linked, and the energy storage and discharge and the photovoltaic are linked;
c. in the afternoon peace period: when the photovoltaic is surplus and sells electricity to the power grid and the stored energy is not fully stored, the stored energy only absorbs the electricity, the photovoltaic is not enough to absorb the load, and the stored energy is standby;
d. evening peak: storing energy, releasing stored electric quantity;
e. evening: energy storage standby;
step 2, establishing an alternate-day user energy and photovoltaic power generation simulation curve according to historical user energy data and weather forecast;
step 3, performing energy storage charging and discharging logic judgment and valley period charging amount calculation according to the working time period divided in the step 1, the energy consumption of the user in the next day in the step 2 and the photovoltaic power generation simulation curve;
and (3) an energy storage and charging stage: a valley period, a peak period in the morning, a mid-afternoon period;
energy storage dischargeable stage: morning peak, evening peak;
priority principle: the energy storage and charging stage is full according to the nominal capacity, and all electricity is discharged during the peak period of the nightQuantity QzPhotovoltaic surplus power expected charge QgExpected remaining capacity Q after peak morning energy releasesEnergy storage expected release electric quantity Q at peak of morningfAnd the electric quantity Q is the electric quantity Q when the battery is charged to the specified SOC value in the valley periodixSOC represents the state of charge, and the original remaining charge Q before the start of charging at the valley periodyExpected charge Q during the valley periodc：
Qz=Qg+Qs；Qix=Qs+Qf；Qix=Qy+Qc(ii) a Let QyIf not than 0, then Qix= Qc，Qc= Qz+ Qf- Qg；
Difference delta P between active power and load power of photovoltaic instantaneous power generation at the same timei：
△Pi=Pgi-Pi ，△PiWhen the current is less than 0, the energy is stored and discharged; delta PiWhen the voltage is more than 0, the energy is stored and charged, PgiFor photovoltaic instantaneous power generation active power at moment i, PiFor the load power at time i,. DELTA.tiIs DeltaPiDuration, i.e. Δ ti=ti+1-ti，
tiAt peak morning and when Δ PiWhen < 0, Qf=∑△Pi×△ti×α1i；
tiAt peak morning or mid afternoon and when Δ PiWhen > 0, Qg=∑△Pi×△ti×α2i
To sum up: qc= Qz+ ∑△Pi×△ti×α1i - ∑△Pi×△ti×α2i
Wherein alpha is1i To take account of the error correction factor resulting from the effect of the time difference on the energy-storing discharge power, a2iAn error correction coefficient generated by the influence of the time difference on the energy storage charging power is considered;
step 4, load power Pi=Pbi+Pgi+PciWherein P isbiRepresenting the power at grid connection, PciAnd the energy storage charging and discharging power is shown.
2. An EMS control method for an optical storage and charging system according to claim 1, wherein: setting a delay time interval t in step 3s1At less than ts1In the space, Ps1＜△PiLess than 0, no discharge is started when the stored energy is less than ts2In the space, Ps2＞△PiWhen the energy storage is more than 0, the charging is not started, wherein, Ps1Indicates a discharge limit set value, Ps2Indicating the charge limit setting value.
3. An EMS control method for an optical storage and charging system according to claim 2, wherein: and 4, correcting the energy storage charging and discharging power during discharging of the stored energy: pci=△Pi×α1i(ii) a The energy storage charging and discharging power is corrected during energy storage charging: pci=△Pi×α2i。
4. An EMS control method for optical storage and charging system according to claim 3, wherein: including according to expected charge Q in valley periodcThe calibration valley period is charged to a specified SOC value.
5. An EMS control method for optical storage and charging system according to claim 4, wherein: including uploading load power PiPhotovoltaic instantaneous power generation active power PgiEnergy storage charging and discharging power PciAnd carrying out comparison and calibration.
CN202011136109.XA 2020-10-22 2020-10-22 EMS control method for optical storage and charging system Active CN112018820B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011136109.XA CN112018820B (en) 2020-10-22 2020-10-22 EMS control method for optical storage and charging system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011136109.XA CN112018820B (en) 2020-10-22 2020-10-22 EMS control method for optical storage and charging system

Publications (2)

Publication Number Publication Date
CN112018820A CN112018820A (en) 2020-12-01
CN112018820B true CN112018820B (en) 2021-07-23

Family

ID=73527853

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011136109.XA Active CN112018820B (en) 2020-10-22 2020-10-22 EMS control method for optical storage and charging system

Country Status (1)

Country Link
CN (1) CN112018820B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107230974A (en) * 2016-03-23 2017-10-03 国网青海省电力公司 The stable output control method of photovoltaic power based on storage energy operation state
JP6611062B2 (en) * 2016-02-25 2019-11-27 パナソニックＩｐマネジメント株式会社 Solar cell module

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6611062B2 (en) * 2016-02-25 2019-11-27 パナソニックＩｐマネジメント株式会社 Solar cell module
CN107230974A (en) * 2016-03-23 2017-10-03 国网青海省电力公司 The stable output control method of photovoltaic power based on storage energy operation state

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
单栋梁等.用户侧光储充一体化智能微电网系统应用研究.《电器与能效管理技术》.2020,(第2期),全文. *

Also Published As

Publication number Publication date
CN112018820A (en) 2020-12-01

Similar Documents

Publication Publication Date Title
JP3740099B2 (en) Power network management system and power network management method
CN104220945B (en) Method and electricity generation system for dispatching the electric energy produced by photovoltaic system
Mohammed et al. A review of process and operational system control of hybrid photovoltaic/diesel generator systems
JP5095495B2 (en) Electric power system and control method thereof
US20120197452A1 (en) Energy Storage and Power Management System
US20130270911A1 (en) Power controller
EP3071441B1 (en) Device and method for recharging electric or hybrid vehicles
JP6192531B2 (en) Power management system, power management apparatus, power management method, and program
JP2004274981A (en) Secondary battery control method, power supply system, and communication unit
JP5617033B2 (en) Supply / demand planning control system for low voltage system and supply / demand planning control method for low voltage system
CN115378015B (en) Operation control method, system, equipment and medium of micro-grid
CN113988444A (en) Electricity charge optimization control system and method for light storage system
Rossi et al. Real-time optimization of the battery banks lifetime in hybrid residential electrical systems
CN108988337B (en) Design method of energy storage device of micro-grid system and micro-grid system
KR101845166B1 (en) Control method of mini solar power generation system and apparatus thereof
CN113610374A (en) Wind-solar complementary power plan deviation dynamic compensation energy storage energy management method
CN117077974A (en) Virtual power plant resource optimal scheduling method, device, equipment and storage medium
CN114123280A (en) Battery energy storage power station energy management method considering system efficiency
CN112018820B (en) EMS control method for optical storage and charging system
CN116316767B (en) Network side power management control method and device for optical storage system
Ioli et al. A smart grid energy management problem for data-driven design with probabilistic reachability guarantees
CN110867934A (en) Commercial power solar charging module sharing system
Paliwal et al. Short-term optimal energy management in stand-alone microgrid with battery energy storage
CN114759614A (en) Multi-energy system robust optimization scheduling strategy based on game theory
JP7252116B2 (en) Renewable energy power generation 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
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20211201

Address after: 226100 No.888, Jiuhua Road, high tech Zone, Nantong City, Jiangsu Province

Patentee after: Wotai Energy Co.,Ltd.

Address before: 211100 West unit, 1st floor, building D, Jinzhi science and Technology Park, 100 Jiangjun Avenue, Jiangning District, Nanjing City, Jiangsu Province

Patentee before: JIANGSU HUIZHI ENERGY ENGINEERING TECHNOLOGY INNOVATION RESEARCH INSTITUTE Co.,Ltd.