CN113572180A - Energy storage system power regulation and control method based on lightning stroke probability - Google Patents

Energy storage system power regulation and control method based on lightning stroke probability Download PDF

Info

Publication number
CN113572180A
CN113572180A CN202111112781.XA CN202111112781A CN113572180A CN 113572180 A CN113572180 A CN 113572180A CN 202111112781 A CN202111112781 A CN 202111112781A CN 113572180 A CN113572180 A CN 113572180A
Authority
CN
China
Prior art keywords
lightning
power supply
power
schedulable
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.)
Granted
Application number
CN202111112781.XA
Other languages
Chinese (zh)
Other versions
CN113572180B (en
Inventor
童充
吴志坚
方志浩
洪奕
王伟亮
王涛
徐箭
廖思阳
付柳笛
吴博文
麦锦雯
王丹
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.)
Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
Original Assignee
Suzhou Power Supply Co of State Grid Jiangsu Electric Power 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 Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd filed Critical Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
Priority to CN202111112781.XA priority Critical patent/CN113572180B/en
Publication of CN113572180A publication Critical patent/CN113572180A/en
Application granted granted Critical
Publication of CN113572180B publication Critical patent/CN113572180B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Power Engineering (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Public Health (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

Under the condition of known lightning stroke probability, in order to reduce possible power loss of a system caused by lightning stroke, other power supplies need to be adjusted to transfer power flow, and therefore loss of the system is reduced when a lightning stroke accident occurs. The invention relates to a method for controlling the output power of an energy storage system, in particular to a method for controlling the output power of the energy storage system. The invention has the following advantages: and the energy storage is scheduled to perform power flow transfer under the condition that the lightning stroke probability exists, so that the loss caused by lightning can be obviously reduced.

Description

Energy storage system power regulation and control method based on lightning stroke probability
Technical Field
The invention belongs to the technical field of dynamic lightning protection of power systems, and particularly relates to a power regulation and control method of an energy storage system based on lightning stroke probability.
Background
At present, in the field of lightning protection of electric power systems, passive lightning protection measures for installing equipment such as lightning rods and lightning wires are mainly taken. In order to further improve the capability of the system to deal with lightning, the related technology of dynamic lightning protection is rapidly developed. The technology how to adjust other schedulable energy sources for power support and transfer is less under the condition of lightning stroke probability, mainly the other schedulable energy sources are considered to be output with constant power, the adjustment mode cannot dynamically update other power sources according to the lightning stroke probability, and the economic operation of the system is not facilitated.
In order to further improve the active defense capability of the system against lightning, the invention takes the stored energy as a scheduling object, and dynamically adjusts the output power of the stored energy according to the forecast result of the lightning probability under the condition of lightning so that the energy storage system bears partial load, thereby reducing the loss load caused by lightning stroke, improving the power supply capability and the power supply quality of the system and improving the active defense capability of the system against the lightning stroke.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide an energy storage power regulation and control method based on lightning stroke probability.
The invention adopts the following technical scheme:
an energy storage system power regulation and control method based on lightning stroke probability comprises the following steps:
step 1, for the current time interval
Figure 125628DEST_PATH_IMAGE001
Probability of lightning forecast
Figure 673284DEST_PATH_IMAGE002
When collecting
Figure 640103DEST_PATH_IMAGE003
Then, entering step 2; otherwise, collecting the next time interval
Figure 864280DEST_PATH_IMAGE001
Probability of lightning forecast
Figure 18180DEST_PATH_IMAGE002
Repeating the step;
Figure 369527DEST_PATH_IMAGE004
representing the minimum lightning forecast probability of the method for regulating and controlling the power of the energy storage system; said time interval
Figure 676006DEST_PATH_IMAGE001
The period is a thunder and lightning forecast period, is equal to an energy storage regulation period and has the unit of hour;
step 2, based on the collection in step 1
Figure 87396DEST_PATH_IMAGE002
Calculating possible loss caused by lightning before the output power of the dispatchable power supply is regulated and controlled;
step 3, calculating the power loss of a system containing the schedulable power supply due to lightning stroke when the schedulable power supply output power is regulated and controlled;
step 4, obtaining the adjustment quantity of the output power of the dispatchable power supply according to the thunder forecast probability, and carrying out adjustment on the current time interval
Figure 728593DEST_PATH_IMAGE001
And (4) after the energy storage power is adjusted, returning to the step 1, and performing thunder forecast probability acquisition and schedulable power output power regulation and control at the next time interval.
In step 1, when the probability of lightning forecast
Figure 867319DEST_PATH_IMAGE005
When the lightning is not thunder, the lightning is not thunder;
Figure 543151DEST_PATH_IMAGE004
<probability of lightning forecast
Figure 125442DEST_PATH_IMAGE006
When the lightning is not in use, the lightning is basically not thunder;
Figure 267317DEST_PATH_IMAGE007
probability of thunder forecast is less than or equal to
Figure 960466DEST_PATH_IMAGE008
When the lightning exists, the lightning is possible; probability of lightning forecast
Figure 490805DEST_PATH_IMAGE009
In the meantime, the lightning exists.
In step 2, when the schedulable power supply does not participate in the regulation, the possible loss caused by the lightning stroke is as follows:
Figure 243997DEST_PATH_IMAGE010
wherein the content of the first and second substances,
Figure 374633DEST_PATH_IMAGE011
the unit of power loss caused by lightning striking a line is kW;
Figure 871474DEST_PATH_IMAGE012
is the electricity price, the unit is yuan/kWh;
Figure 256319DEST_PATH_IMAGE002
forecasting probability for lightning;
Figure 914833DEST_PATH_IMAGE001
the period is equal to the period of energy storage regulation and control, and the unit is hour.
Step 3 comprises the following steps:
step 3.1, calculating the short-time scheduling cost loss of the schedulable power supply;
step 3.2, calculating the possible loss caused by lightning stroke when the output power of the dispatchable power supply is regulated and controlled;
the short-time scheduling cost loss of the schedulable power supply in step 3.1 satisfies the following relation:
Figure 299809DEST_PATH_IMAGE013
wherein the content of the first and second substances,
Figure 69182DEST_PATH_IMAGE014
the unit is element for the schedulable power supply short-time scheduling cost;
Figure 839692DEST_PATH_IMAGE015
the unit price is yuan/(kW)2h,
Figure 669108DEST_PATH_IMAGE016
The number of charge and discharge cycles of the schedulable power supply is given in units of times;
Figure 39915DEST_PATH_IMAGE017
the unit is kW for the actual power of the schedulable power supply;
Figure 612979DEST_PATH_IMAGE018
the unit is yuan/kWh for the investment cost of the schedulable power supply;
Figure 237995DEST_PATH_IMAGE019
the efficiency of the power supply can be scheduled.
In step 3.2, the possible loss caused by the lightning stroke during the output power regulation of the schedulable power supply meets the following relational expression:
Figure 238312DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 63792DEST_PATH_IMAGE017
the unit is kW for the actual power of the schedulable power supply;
Figure 706126DEST_PATH_IMAGE012
is the electricity price, the unit is yuan/kWh;
Figure 451228DEST_PATH_IMAGE011
the unit of power loss caused by lightning striking a line is kW;
Figure 888026DEST_PATH_IMAGE001
the period is equal to the period of energy storage regulation and control, and the unit is hour.
Step 4 comprises the following steps:
step 4.1, calculating an expected difference value before and after the output power of the dispatchable power supply is regulated;
step 4.2, calculating the schedulable power supply output power which can make the expected difference value in the step 4.1 be the optimal value of the schedulable power supply output power
Figure 702267DEST_PATH_IMAGE022
And 4.3, adjusting the output power of the schedulable power supply according to the operation constraint of the energy storage system.
The expected difference before and after the output power of the schedulable power supply in step 4.1 is regulated satisfies the following relation:
Figure 882713DEST_PATH_IMAGE024
in step 4.2, the schedulable power supply outputs the optimum value of power
Figure 951163DEST_PATH_IMAGE022
The following relation is satisfied:
Figure 558862DEST_PATH_IMAGE025
in step 4.3, the operating constraints of the energy storage system satisfy the following relation:
Figure 627443DEST_PATH_IMAGE026
wherein the content of the first and second substances,SOC minSOC maxrespectively as the minimum and maximum allowable states of charge for the operation of the schedulable power supply;SOC(t) is the actual state of charge of the schedulable power supply;P BminandP Bmaxrespectively the minimum and maximum power allowed for operation of the schedulable power supply,
Figure 346000DEST_PATH_IMAGE027
the actual power of the power supply is schedulable.
The method for adjusting the output power of the dispatching power supply comprises the following steps:
Figure 800115DEST_PATH_IMAGE028
compared with the prior art, the invention has the beneficial effects that:
1. the invention dispatches the stored energy to carry out the power flow transfer under the condition that the lightning stroke probability exists, can improve the initiative of the system for dealing with the lightning stroke event, ensures the power supply of important loads in the system, and obviously reduces the power loss caused by the lightning;
2. the algorithm provided by the invention can reduce the power transmission between different power grids under the lightning condition and reduce the relation between the power grid in the lightning area and other power grids, and under the condition, even if a lightning accident occurs, the influence on other power grids can be reduced.
3. The method provided by the invention can be applied to the regulation and control of the energy storage power of the energy storage battery, and can achieve the same effect when the energy storage battery is changed into other schedulable power supplies.
Drawings
FIG. 1 is a flow chart of an energy storage system power regulation method based on lightning stroke probability according to the present invention.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
As shown in fig. 1, a flow chart of a method for regulating and controlling power of an energy storage system based on lightning stroke probability according to the present invention includes:
step 1, for the current time interval
Figure 313136DEST_PATH_IMAGE001
Probability of lightning forecast
Figure 101970DEST_PATH_IMAGE002
When collecting
Figure 624218DEST_PATH_IMAGE003
Then, entering step 2; otherwise, collecting the next time interval
Figure 198419DEST_PATH_IMAGE001
Probability of lightning forecast
Figure 882341DEST_PATH_IMAGE002
Repeating the step;
Figure 227364DEST_PATH_IMAGE004
representing the minimum lightning forecast probability of the method for regulating and controlling the power of the energy storage system;
Figure 553303DEST_PATH_IMAGE001
the period is a thunder and lightning forecast period, is equal to an energy storage regulation period and has the unit of hour;
for a specific site, the probability of lightning forecast is specified as follows: probability of lightning forecast
Figure 716431DEST_PATH_IMAGE005
No thunder and lightning;
Figure 836834DEST_PATH_IMAGE004
<probability of lightning forecast
Figure 600259DEST_PATH_IMAGE006
Substantially no lightning;
Figure 464310DEST_PATH_IMAGE007
probability of thunder forecast is less than or equal to
Figure 481945DEST_PATH_IMAGE008
Lightning is possible; probability of lightning forecast
Figure 38828DEST_PATH_IMAGE009
There is lightning. Preferably, the first and second liquid crystal materials are,
Figure 525435DEST_PATH_IMAGE004
is 20 percent of the total weight of the mixture,
Figure 193177DEST_PATH_IMAGE007
the content of the active carbon is 50 percent,
Figure DEST_PATH_IMAGE029
the content was 70%.
In order to ensure the safety of the system and reduce unnecessary loss caused by thunder as much as possible, the probability of thunder forecast is
Figure 534159DEST_PATH_IMAGE003
The method for controlling the output power of the schedulable power supply is triggered in time.
In an embodiment of the invention, the schedulable power source used is a battery.
Step 2, based on the collection in step 1
Figure 511212DEST_PATH_IMAGE002
And calculating the possible loss caused by the lightning before the output power of the dispatchable power supply is regulated and controlled. The possible loss of the system due to lightning strikes is determined without regard to the dispatchable power supply for power transfer.
When the dispatchable power supply does not participate in regulation, the possible loss caused by lightning stroke is as follows:
Figure 734382DEST_PATH_IMAGE010
wherein the content of the first and second substances,
Figure 940236DEST_PATH_IMAGE011
the unit of power loss caused by lightning striking a line is kW;
Figure 932463DEST_PATH_IMAGE012
is the electricity price, the unit is yuan/kWh;
Figure 313372DEST_PATH_IMAGE002
forecasting probability for lightning;
Figure 758260DEST_PATH_IMAGE001
the period is equal to the period of energy storage regulation and control, and the unit is hour.
And 3, calculating the power loss possibly caused by lightning stroke of a system containing the schedulable power supply when the schedulable power supply output power is regulated and controlled.
Step 3.1, calculating the short-time scheduling cost loss of the schedulable power supply;
the operation cost of the schedulable power supply depends on the number of charging and discharging cycles of the stored energy on one hand, and on the other hand, the discharging current also increases the internal resistance of the battery, and the short-time scheduling cost loss of the schedulable power supply can be determined by the following formula under the condition of considering the two aspects.
Figure 767804DEST_PATH_IMAGE013
Wherein the content of the first and second substances,
Figure 129384DEST_PATH_IMAGE014
the unit is element for the schedulable power supply short-time scheduling cost;
Figure 933392DEST_PATH_IMAGE015
the unit price is yuan/(kW)2h,
Figure 131155DEST_PATH_IMAGE016
The number of charge and discharge cycles of the schedulable power supply is given in units of times;
Figure 678811DEST_PATH_IMAGE017
the unit is kW for the actual power of the schedulable power supply;
Figure 396363DEST_PATH_IMAGE018
the unit is yuan/kWh for the investment cost of the schedulable power supply;
Figure 636851DEST_PATH_IMAGE019
the efficiency of the power supply can be scheduled.
Step 3.2, calculating the possible loss caused by lightning stroke when the output power of the dispatchable power supply is regulated and controlled;
when the output power of the schedulable power supply is regulated, the schedulable power supply bears a part of power, and the possible loss caused by the lightning stroke is as follows:
Figure DEST_PATH_IMAGE030
wherein the content of the first and second substances,
Figure 790752DEST_PATH_IMAGE017
the unit is kW for the actual power of the schedulable power supply;
Figure 142099DEST_PATH_IMAGE012
is the electricity price in units of yuan/kWh.
Step 4, obtaining the adjustment quantity of the output power of the dispatchable power supply according to the thunder forecast probability, and carrying out adjustment on the current time interval
Figure 212692DEST_PATH_IMAGE001
And (4) after the energy storage power is adjusted, returning to the step 1, and performing thunder forecast probability acquisition and schedulable power output power regulation and control at the next time interval.
Step 4.1, the expected difference value before and after the output power of the schedulable power supply is regulated is as follows:
Figure DEST_PATH_IMAGE031
step 4.2, obviously, ΔY< 0, i.e. the finding enables a ΔYMinimum, i.e. maximum loss reduction, at which time the output power of the power supply can be scheduled
Figure 92923DEST_PATH_IMAGE017
Can be determined by the quadratic function of step 4.1, and the optimal value of the schedulable power supply output power can be found from the quadratic function of step 4.1
Figure 999699DEST_PATH_IMAGE022
This is represented by the following formula.
Figure 636961DEST_PATH_IMAGE025
At this time, possible loss of the entire system due to lightning can be reduced. And adjusting the output power of the dispatchable power supply when the lightning forecast data is obtained according to the relational expression.
And 4.3, adjusting the output power of the schedulable power supply according to the operation constraint of the energy storage system.
The constraint conditions satisfy the following relations:
Figure 578372DEST_PATH_IMAGE026
wherein the content of the first and second substances,SOC minSOC maxrespectively as the minimum and maximum allowable states of charge for the operation of the schedulable power supply;SOC(t) is the actual state of charge of the schedulable power supply;P BminandP Bmaxrespectively the minimum and maximum power allowed for operation of the schedulable power supply,
Figure 895084DEST_PATH_IMAGE027
in order to be able to schedule the actual power of the power supply, in this context, the discharge is required, so
Figure 289156DEST_PATH_IMAGE017
>0。
In view of the above constraints, the method for adjusting the output power of the schedulable power supply can be obtained as shown in the following formula.
Figure DEST_PATH_IMAGE032
After the regulation period is finished, the next regulation period is switched to, and the time t is correspondingly increased
Figure 434835DEST_PATH_IMAGE001
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.

Claims (11)

1. An energy storage system power regulation and control method based on lightning stroke probability is characterized by comprising the following steps:
step 1, for the current time interval
Figure DEST_PATH_IMAGE001
Probability of lightning forecast
Figure DEST_PATH_IMAGE002
When collecting
Figure DEST_PATH_IMAGE003
Then, entering step 2; otherwise, collecting the next time interval
Figure 836086DEST_PATH_IMAGE001
Probability of lightning forecast
Figure DEST_PATH_IMAGE004
Repeating the step;
Figure DEST_PATH_IMAGE005
representing the minimum lightning forecast probability of the method for regulating and controlling the power of the energy storage system; said time interval
Figure 894172DEST_PATH_IMAGE001
The period is a thunder and lightning forecast period, is equal to an energy storage regulation period and has the unit of hour;
step 2, based on the collection in step 1
Figure DEST_PATH_IMAGE006
Calculating possible loss caused by lightning before the output power of the dispatchable power supply is regulated and controlled;
step 3, calculating the power loss of a system containing the schedulable power supply due to lightning stroke when the schedulable power supply output power is regulated and controlled;
step 4, obtaining the adjustment quantity of the output power of the dispatchable power supply according to the thunder forecast probability, and carrying out adjustment on the current time interval
Figure 860860DEST_PATH_IMAGE001
And (4) after the energy storage power is adjusted, returning to the step 1, and performing thunder forecast probability acquisition and schedulable power output power regulation and control at the next time interval.
2. The energy storage system power regulation method based on lightning stroke probability according to claim 1, characterized in that:
in the step 1, when the probability of lightning forecast is
Figure DEST_PATH_IMAGE007
When the lightning is not thunder, the lightning is not thunder;
Figure 675976DEST_PATH_IMAGE005
<probability of lightning forecast
Figure DEST_PATH_IMAGE008
When the lightning is not in use, the lightning is basically not thunder;
Figure DEST_PATH_IMAGE009
probability of thunder forecast is less than or equal to
Figure DEST_PATH_IMAGE010
When the lightning exists, the lightning is possible; probability of lightning forecast
Figure DEST_PATH_IMAGE011
In the meantime, the lightning exists.
3. The energy storage system power regulation method based on lightning stroke probability according to claim 1, characterized in that:
in step 2, when the schedulable power supply does not participate in the regulation, the possible loss caused by the lightning stroke is as follows:
Figure DEST_PATH_IMAGE012
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE013
the unit of power loss caused by lightning striking a line is kW;
Figure 21507DEST_PATH_IMAGE014
is the electricity price, the unit is yuan/kWh;
Figure DEST_PATH_IMAGE015
forecasting probability for lightning;
Figure 532385DEST_PATH_IMAGE001
the period is equal to the period of energy storage regulation and control, and the unit is hour.
4. The energy storage system power regulation method based on lightning stroke probability according to claim 3, characterized in that:
the step 3 comprises the following steps:
step 3.1, calculating the short-time scheduling cost loss of the schedulable power supply;
and 3.2, calculating the possible loss caused by the lightning stroke when the output power of the dispatchable power supply is regulated and controlled.
5. The energy storage system power regulation method based on lightning stroke probability according to claim 4, characterized in that:
the short-time scheduling cost loss of the schedulable power supply in the step 3.1 meets the following relational expression:
Figure DEST_PATH_IMAGE016
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE017
the unit is element for the schedulable power supply short-time scheduling cost;
Figure DEST_PATH_IMAGE018
the unit price is yuan/(kW)2h,
Figure DEST_PATH_IMAGE019
The number of charge and discharge cycles of the schedulable power supply is given in units of times;
Figure 392893DEST_PATH_IMAGE020
the unit is kW for the actual power of the schedulable power supply;
Figure 326214DEST_PATH_IMAGE021
the unit is yuan/kWh for the investment cost of the schedulable power supply;
Figure DEST_PATH_IMAGE022
the efficiency of the power supply can be scheduled.
6. The energy storage system power regulation method based on lightning stroke probability according to claim 5, characterized in that:
the possible loss caused by the lightning stroke during the regulation and control of the output power of the schedulable power supply in the step 3.2 meets the following relational expression:
Figure 415000DEST_PATH_IMAGE023
wherein the content of the first and second substances,
Figure 877205DEST_PATH_IMAGE020
the unit is kW for the actual power of the schedulable power supply;
Figure 100376DEST_PATH_IMAGE014
is the electricity price, the unit is yuan/kWh;
Figure 555497DEST_PATH_IMAGE013
the unit of power loss caused by lightning striking a line is kW;
Figure 547724DEST_PATH_IMAGE001
the period is equal to the period of energy storage regulation and control, and the unit is hour.
7. The energy storage system power regulation method based on lightning stroke probability according to claim 6, characterized in that:
the step 4 comprises the following steps:
step 4.1, calculating an expected difference value before and after the output power of the dispatchable power supply is regulated;
step 4.2, calculating the schedulable power supply output power which can make the expected difference value in the step 4.1 be the optimal value of the schedulable power supply output power
Figure 446410DEST_PATH_IMAGE024
And 4.3, adjusting the output power of the schedulable power supply according to the operation constraint of the energy storage system.
8. The energy storage system power regulation method based on lightning stroke probability according to claim 7, characterized in that:
the expected difference before and after the output power of the schedulable power supply in the step 4.1 is regulated meets the following relation:
Figure DEST_PATH_IMAGE025
9. the energy storage system power regulation method based on lightning stroke probability according to claim 7, characterized in that:
in the step 4.2, the output power optimum value of the schedulable power supply
Figure 376451DEST_PATH_IMAGE024
The following relation is satisfied:
Figure DEST_PATH_IMAGE026
10. the energy storage system power regulation method based on lightning stroke probability according to claim 7, characterized in that:
in the step 4.3, the operation constraint conditions of the energy storage system satisfy the following relation:
Figure 589257DEST_PATH_IMAGE027
wherein the content of the first and second substances,SOC minSOC maxrespectively as the minimum and maximum allowable states of charge for the operation of the schedulable power supply;SOC(t) is the actual state of charge of the schedulable power supply;P BminandP Bmaxrespectively the minimum and maximum power allowed for operation of the schedulable power supply,
Figure 701570DEST_PATH_IMAGE028
the actual power of the power supply is schedulable.
11. The energy storage system power regulation method based on lightning strike probability of claim 10, wherein:
the method for adjusting the output power of the dispatching power supply comprises the following steps:
Figure 754845DEST_PATH_IMAGE029
CN202111112781.XA 2021-09-23 2021-09-23 Energy storage system power regulation and control method based on lightning stroke probability Active CN113572180B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111112781.XA CN113572180B (en) 2021-09-23 2021-09-23 Energy storage system power regulation and control method based on lightning stroke probability

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111112781.XA CN113572180B (en) 2021-09-23 2021-09-23 Energy storage system power regulation and control method based on lightning stroke probability

Publications (2)

Publication Number Publication Date
CN113572180A true CN113572180A (en) 2021-10-29
CN113572180B CN113572180B (en) 2022-01-25

Family

ID=78174210

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111112781.XA Active CN113572180B (en) 2021-09-23 2021-09-23 Energy storage system power regulation and control method based on lightning stroke probability

Country Status (1)

Country Link
CN (1) CN113572180B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115276062A (en) * 2022-07-22 2022-11-01 国网江苏省电力有限公司苏州供电分公司 Wind storage combined system power two-layer regulation and control method and system based on lightning stroke probability
CN115409427A (en) * 2022-10-28 2022-11-29 国网江西省电力有限公司供电服务管理中心 Method and device for evaluating multiple states of available adjustment capacity of residential load

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102854415A (en) * 2012-08-06 2013-01-02 广东电网公司东莞供电局 Method for assessing lightning flashover risks of regional power grid lines
CN105137286A (en) * 2015-09-01 2015-12-09 国网新疆电力公司经济技术研究院 Power transmission line lightning stroke monitoring device and lightning protection level assessment method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102854415A (en) * 2012-08-06 2013-01-02 广东电网公司东莞供电局 Method for assessing lightning flashover risks of regional power grid lines
CN105137286A (en) * 2015-09-01 2015-12-09 国网新疆电力公司经济技术研究院 Power transmission line lightning stroke monitoring device and lightning protection level assessment method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
GUO JUNTIAN等: "Lightning warning method of transmission lines based on multi-information fusion Analysis of summer thunderstorms in Jiangsu", 《2014 INTERNATIONAL CONFERENCE ON LIGHTNING PROTECTION》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115276062A (en) * 2022-07-22 2022-11-01 国网江苏省电力有限公司苏州供电分公司 Wind storage combined system power two-layer regulation and control method and system based on lightning stroke probability
CN115276062B (en) * 2022-07-22 2024-04-26 国网江苏省电力有限公司苏州供电分公司 Wind-storage combined system power two-layer regulation and control method and system based on lightning probability
CN115409427A (en) * 2022-10-28 2022-11-29 国网江西省电力有限公司供电服务管理中心 Method and device for evaluating multiple states of available adjustment capacity of residential load

Also Published As

Publication number Publication date
CN113572180B (en) 2022-01-25

Similar Documents

Publication Publication Date Title
CN110311421B (en) Micro-grid multi-time scale energy management method based on demand side response
CN108964128B (en) Low-carbon economic dispatching solving method based on coordinated heat supply of electric boiler and heat storage device
WO2022100091A1 (en) Centralized control method for scheduling of generalized source storage system
Logenthiran et al. Short term generation scheduling of a microgrid
CN113572180B (en) Energy storage system power regulation and control method based on lightning stroke probability
CN102684199B (en) Multiple time scale control method of exchange power of microgrid and power distribution network
CN110829408B (en) Multi-domain scheduling method considering energy storage power system based on power generation cost constraint
CN111244993B (en) Capacity optimization configuration method for energy storage participating in power grid peak shaving application
CN113572179B (en) Energy storage and load power coordination control method based on lightning stroke probability
CN110350597B (en) Distribution network voltage control method based on distributed photovoltaic active-reactive optimization
CN111555366B (en) Multi-time scale-based microgrid three-layer energy optimization management method
CN110783959A (en) New forms of energy power generation system&#39;s steady state control system
CN105515031B (en) A kind of microgrid energy storage real-time control method based on prediction data amendment
CN115036963A (en) Two-stage demand response strategy for improving toughness of power distribution network
CN105098810B (en) The energy-optimised management method of self-adapting type microgrid energy-storage system
CN107834574B (en) Control method for power exchange between distributed energy system and power grid
CN109787221A (en) A kind of micro-capacitance sensor electric energy safe economic load dispatching method and system
CN114154790A (en) Industrial park light storage capacity configuration method based on demand management and flexible load
CN110098623B (en) Prosumer unit control method based on intelligent load
CN111725827A (en) Energy storage smoothing wind power fluctuation control method based on charge state self-adjustment
CN116544982A (en) Photovoltaic absorption and peak valley arbitrage optical storage system and control method thereof
Wang et al. Improved PSO-based energy management of Stand-Alone Micro-Grid under two-time scale
CN114676921A (en) Method for calculating wind power receptibility of system by considering source load storage coordination optimization
CN108288854A (en) One introduces a collection net lotus control method for coordinating and system
CN114825392A (en) Wind-solar-energy-storage multi-energy complementary capacity optimization method considering installed scale constraint

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